# Cadmium Reduction in Spring Wheat: Root Exudate Composition Affects Cd Partitioning Between Roots and Shoots

M C Affholder, A A Moazzami, M. Weih, Holger Kirchmann, A M Herrmann

<figure><img src="image_1.png" /></figure>

## To cite this version:

M C Affholder, A A Moazzami, M. Weih, Holger Kirchmann, A M Herrmann. Cadmium Reduction in Spring Wheat: Root Exudate Composition Affects Cd Partitioning Between Roots and Shoots. Journal of Soil Science and Plant Nutrition, 2023, 23 (3), pp.3537 - 3547. 10.1007/s42729-023-01269-5. hal-04412844

HAL Id: hal-04412844

https://hal.inrae.fr/hal-04412844

Submitted on 23 Jan 2024

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# Cadmium Reduction in Spring Wheat: Root Exudate Composition Affects Cd Partitioning Between Roots and Shoots

M C Affholder, A A Moazzami, M. Weih, Holger Kirchmann, A M Herrmann

<figure><img src="image_1.png" /></figure>

## To cite this version:

M C Affholder, A A Moazzami, M. Weih, Holger Kirchmann, A M Herrmann. Cadmium Reduction in Spring Wheat: Root Exudate Composition Affects Cd Partitioning Between Roots and Shoots. Journal of Soil Science and Plant Nutrition, 2023, 23 (3), pp.3537 - 3547. 10.1007/s42729-023-01269-5. hal-04412844

HAL Id: hal-04412844

https://hal.inrae.fr/hal-04412844v1

Submitted on 23 Jan 2024

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

<figure><img src="image_2.png" /></figure>

Distributed under a Creative Commons Attribution 4.0 International License
# Cadmium Reduction in Spring Wheat: Root Exudate Composition Affects Cd Partitioning Between Roots and Shoots

M. C. Affholder<fnref n="1" />,<fnref n="2" />* · A. A. Moazzami<fnref n="3" /> · M. Weih<fnref n="4" /> · H. Kirchmann<fnref n="1" /> · A. M. Herrmann<fnref n="1" />

Received: 15 November 2022 / Accepted: 17 April 2023 / Published online: 19 May 2023

© The Author(s) 2023

## Abstract

Cadmium (Cd) in cereals is one of the major sources of Cd intake by human diets, and solutions to reduce Cd concentrations in wheat still need to be developed. Plant breeding, by selecting low-Cd varieties, can be an important tool to reduce Cd in crops. Knowing the genotypic variation in Cd accumulation and furthering our understanding of the impact of root exudates composition on Cd accumulation in crops may provide valuable information for plant breeding. In this study, we selected nine spring wheat varieties and analysed the accumulation and distribution of Cd in shoots, roots, root surfaces and kernels in relation to their qualitative and quantitative composition of root exudates, determined by ¹H-NMR (Proton Nuclear Magnetic Resonance). Results showed that the Cd concentration in shoots at an early stage could be used as a predictor for Cd concentration in kernels. Total Cd uptake was not correlated to the mobility of Cd in the rhizosphere, but total Cd was negatively correlated to Cd adsorbed at the root surface. Furthermore, (i) exudation of organic acids (primarily succinate and acetate) increased Cd concentration in shoots, and (ii) exudation of nucleosides, DNA (deoxyribonucleic acid) degradation products, increased Cd adsorption at the root surface. Therefore, root exudates composition should be taken into account when selecting for low-Cd wheat traits.

**Keywords** ¹H-NMR · Organic acids · *Triticum aestivum* · Heavy metal · Genotypic variation · Extracellular DNA

## Abbreviations

¹H-NMR Proton nuclear magnetic resonance

EDTA Ethylenediaminetetraacetic acid

exDNA Extracellular deoxyribonucleic acid

ICP-MS Inductively coupled plasma mass spectrometry

RE Root exudate

Dedicated to the memory of Holger Kirchmann.

<figure><img src="image_3.png" /></figure>

M. C. Affholder
marie-cecile.affholder@inrae.fr

## 1 Introduction

Cadmium (Cd) is classified as a human carcinogen (IARC 2012). In soils, Cd can originate from anthropic (industry and agriculture) or natural (geogenic origin, volcanic emissions) sources (Singh and McLaughlin 1999). Its relative high mobility in soils leads to an easy plant uptake. Consequently, cereals and vegetables are the major sources of Cd intake in diets of non-smokers. Due to the ability to accumulate in the body and its high toxicity even at low intake, human health can be negatively affected (kidney failure and increased risk of cancer) (EFSA 2009). Yet, agronomic measures to reduce Cd levels in crops are still lacking and management improvement is therefore required.

There is a natural variation in uptake and distribution of essential and non-essential trace elements among crop species but also among varieties within the same species. Previous research showed that Cd accumulation in wheat grains varies among cultivars (Greger and Landberg 2008; Greger and Löfstedt 2004; Kubo et al. 2008; Lu et al. 2020; Rabnawaz et al. 2017; Stolt et al. 2006). Plant breeding can therefore be an

<footnote n="1">¹ Department of Soil and Environment, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden</footnote>

<footnote n="2">² Present Address: BIOGECO University Bordeaux, INRAE Allée Geoffroy St-Hilaire - bat. B2 CS 50023, 33615 Pessac, France</footnote>

<footnote n="3">³ Department of Molecular Sciences, Uppsala BioCenter, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden</footnote>

<footnote n="4">⁴ Department of Crop Production Ecology, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden</footnote>
# Cadmium Reduction in Spring Wheat: Root Exudate Composition Affects Cd Partitioning Between Roots and Shoots

M. C. Affholder<fnref n="1" />,<fnref n="2" />●, A. A. Moazzami<fnref n="3" />, M. Weih<fnref n="4" />, H. Kirchmann<fnref n="1" />, A. M. Herrmann<fnref n="1" />

Received: 15 November 2022 / Accepted: 17 April 2023 / Published online: 19 May 2023

© The Author(s) 2023

## Abstract

Cadmium (Cd) in cereals is one of the major sources of Cd intake by human diets, and solutions to reduce Cd concentrations in wheat still need to be developed. Plant breeding, by selecting low-Cd varieties, can be an important tool to reduce Cd in crops. Knowing the genotypic variation in Cd accumulation and furthering our understanding of the impact of root exudates composition on Cd accumulation in crops may provide valuable information for plant breeding. In this study, we selected nine spring wheat varieties and analysed the accumulation and distribution of Cd in shoots, roots, root surfaces and kernels in relation to their qualitative and quantitative composition of root exudates, determined by ¹H-NMR (Proton Nuclear Magnetic Resonance). Results showed that the Cd concentration in shoots at an early stage could be used as a predictor for Cd concentration in kernels. Total Cd uptake was not correlated to the mobility of Cd in the rhizosphere, but total Cd was negatively correlated to Cd adsorbed at the root surface. Furthermore, (i) exudation of organic acids (primarily succinate and acetate) increased Cd concentration in shoots, and (ii) exudation of nucleosides, DNA (deoxyribonucleic acid) degradation products, increased Cd adsorption at the root surface. Therefore, root exudates composition should be taken into account when selecting for low-Cd wheat traits.

**Keywords** ¹H-NMR · Organic acids · *Triticum aestivum* · Heavy metal · Genotypic variation · Extracellular DNA

## Abbreviations

¹H-NMR Proton nuclear magnetic resonance

EDTA Ethylenediaminetetraacetic acid

exDNA Extracellular deoxyribonucleic acid

ICP-MS Inductively coupled plasma mass spectrometry

RE Root exudate

Dedicated to the memory of Holger Kirchmann.

<figure><img src="image_3.png" /></figure>

M. C. Affholder
marie-cecile.affholder@inrae.fr

## 1 Introduction

Cadmium (Cd) is classified as a human carcinogen (IARC 2012). In soils, Cd can originate from anthropic (industry and agriculture) or natural (geogenic origin, volcanic emissions) sources (Singh and McLaughlin 1999). Its relative high mobility in soils leads to an easy plant uptake. Consequently, cereals and vegetables are the major sources of Cd intake in diets of non-smokers. Due to the ability to accumulate in the body and its high toxicity even at low intake, human health can be negatively affected (kidney failure and increased risk of cancer) (EFSA 2009). Yet, agronomic measures to reduce Cd levels in crops are still lacking and management improvement is therefore required.

There is a natural variation in uptake and distribution of essential and non-essential trace elements among crop species but also among varieties within the same species. Previous research showed that Cd accumulation in wheat grains varies among cultivars (Greger and Landberg 2008; Greger and Löfstedt 2004; Kubo et al. 2008; Lu et al. 2020; Rabnawaz et al. 2017; Stolt et al. 2006). Plant breeding can therefore be an

<footnote n="1">¹ Department of Soil and Environment, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden</footnote>

<footnote n="2">² Present Address: BIOGECO University Bordeaux, INRAE Allée Geoffroy St-Hilaire - bat. B2 CS 50023, 33615 Pessac, France</footnote>

<footnote n="3">³ Department of Molecular Sciences, Uppsala BioCenter, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden</footnote>

<footnote n="4">⁴ Department of Crop Production Ecology, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden</footnote>
important tool to reduce Cd concentrations in wheat. Know-
ing the genotypic variation and the physiological processes
causing Cd accumulation in crops may help breeders targeting
traits involved in low Cd uptake. For example, composition
and quantity of root exudates can affect heavy metal uptake.
Indeed, single compound or a subgroup of exudates can play
a significant role for Cd bioavailability, uptake and transloca-
tion in various plant species (Chen et al. 2020; Liu et al. 2007;
Luo et al. 2017; Qin et al. 2021; Xin et al. 2015). Identification
and quantification of root exudates as well as their genetic
background can therefore be a useful tool to exploit a crop’s
potential for heavy metal uptake (Kuijken et al. 2015).

Differences in grain Cd accumulation among wheat varie-
ties could be due to their variability in Cd allocation in differ-
ent plant parts including grains; to an altered Cd uptake ability
of roots; and/or to a higher capacity to mobilise it from the
soil. Greger and Landberg (2008) showed that high-Cd wheat
varieties did not take up more Cd than low-Cd cultivars when
provided in a nutrient solution. They concluded that the differ-
ences in Cd uptake are related to a different ability to mobilise
Cd in the rhizosphere rather than to a different root absorption
capacity. Indeed, it is known that by releasing root exudates
into the rhizosphere, plants can modify the biogeochemistry
of the soil and change the bioavailability of nutrients and con-
taminants (Badri and Vivanco 2009; Dong et al. 2007). Hence,
a higher Cd accumulation in the plant may be the result of a
higher release of Cd from soil particles by root exudates, and
thereby a higher concentration of Cd in the soil solution. Root
exudates constitute a wide range of organic compounds includ-
ing carbohydrates, organic acids, fatty acids and enzymes
(Badri and Vivanco 2009). Previous studies highlighted that
a higher release of organic acids (Dong et al. 2007; Zhu et al.
2011) and phytosiderophores (Hill et al. 2002) reduced Cd
bioavailability and thereby uptake by plants. Moreover, in the
plant, chelation with some ligands such as histidine and citrate
appears to route metals to the xylem, promoting root to shoot
transport (Clemens et al. 2002).

In the present study, we aimed at evaluating whether vari-
ous spring wheat varieties and their root exudation character-
istics affect Cd mobility in the rhizosphere and consequently
Cd uptake and allocation in the crop. We hypothesised that (i)
‘high Cd cultivars’ mobilise more Cd from soil particles, and
(ii) ‘low Cd cultivars’ present a higher ability to exclude Cd
from the roots, and (iii) higher exudation of amino acids and
organic acids increases Cd uptake and translocation in wheat.

**2 Material and Method**

**2.1 Soil**

The soil was sampled in an agricultural field in Skåne, south
of Sweden. A soil presenting naturally high Cd concentration

(0.98 mg kg⁻¹), leading to high Cd concentration in wheat
was sought; the sampling area was therefore selected accord-
ing to the results from Söderström and Eriksson (2013). Soils
from this area have organic matter content around 3–4% and
pH of 6.5 (Eriksson 1990). The air-dried soil was sieved to
2 mm and mixed with sand at 1:1 weigh ratio resulting in a Cd
concentration of the soil and sand mixture of 0.49 mg kg⁻¹.

**2.2 Plant Material and Growth**

Nine spring wheat genotypes were used as they vary in roots
and shoots traits as well as in nutrient accumulation (Liu
et al 2021). Seeds from eight genotypes were obtained from
Lantmännen: ‘KWS Alderon’ (‘Alderon’, Germany, KWS
W185), ‘Bjarne’ (Sweden, NK 97,520), ‘Boett’ (Sweden, SW
71,034), ‘Dacke’ (Sweden, WW 26,267), ‘Diskett’ (Sweden,
SW 45,456), ‘Happy’ (Sweden, SW 91,003), ‘Quarna’ (Swit-
zerland, CH 21,112,283) and ‘Rohan’ (Sweden, SW 01,198).
The last genotype, ‘Dala LR’, a landrace originating in Dalarna
(Sweden) was supplied by local farmers. Grains were germi-
nated for 3 days on a wet filter paper in the dark at 21 °C. Seed-
lings were transplanted to 50-ml tubes (one seedling per tube)
filled with the soil:sand mixture. Plants were grown for 21 days
with 12-h light, 24 °C during the day and 19 °C during the
night and constant humidity (60%) in a growing cabinet (CLF
Plant Climatics Modell SE41-E2, Germany). A full fertiliser
(‘Blomstra’) was used, and fertiliser solutions were added at
transplanting, 7 and 15 days thereafter. The total amount of
nutrients added to 1 g of soil:sand mixture was: 382 µg N g⁻¹,
75 µg P g⁻¹, 322 µg K g⁻¹, 30 µg S g⁻¹, 22 µg Ca g⁻¹,
30 µg Mg g⁻¹, 2.6 µg Fe g⁻¹, 1.5 µg Mn g⁻¹, 0.75 µg B g⁻¹,
0.23 µg Zn g⁻¹, 0.11 µg Cu g⁻¹ and 0.03 µg Mo g⁻¹.

For determination of Cd contents, additional wheat ker-
nels were obtained from the same nine genotypes grown in
a field experiment situated in Säby (Sweden) in 2019 (Weih
et al., 2021). Standard fertilisation rates were applied after
sowing (140 kg N ha⁻¹, 24 kg P ha⁻¹, 46 kg K ha⁻¹). In the
field experiment, all varieties were grown in 88 m² plots (dis-
tributed as 22 m² parcels on four blocks). Wheat seeds were
sown on the 23rd of April 2019. Seed rates were 550 seeds
m², as common in the region. Final harvest of the central plot
area (6 m × 2 m) was done on the 23rd of August 2019 with a
combine harvester to assess agronomic grain yield. Further
details on the experimental conditions can be found in Weih
et al. (2021) and Liu et al. (2022). Kernels analysed were
the result from pooled samples from the four blocks. Results
presented are the average of four analytical replicates.

**2.3 Root Exudate Sampling and Analysis by H¹-NMR**
**(Proton Nuclear Magnetic Resonance)**

Root exudates were sampled from the seedlings grown for 21 days
in the growing cabinet, adopting a soil-hydroponic-hybrid
important tool to reduce Cd concentrations in wheat. Know-
ing the genotypic variation and the physiological processes
causing Cd accumulation in crops may help breeders targeting
traits involved in low Cd uptake. For example, composition
and quantity of root exudates can affect heavy metal uptake.
Indeed, single compound or a subgroup of exudates can play
a significant role for Cd bioavailability, uptake and transloca-
tion in various plant species (Chen et al. 2020; Liu et al. 2007;
Luo et al. 2017; Qin et al. 2021; Xin et al. 2015). Identification
and quantification of root exudates as well as their genetic
background can therefore be a useful tool to exploit a crop’s
potential for heavy metal uptake (Kuijken et al. 2015).

Differences in grain Cd accumulation among wheat varie-
ties could be due to their variability in Cd allocation in differ-
ent plant parts including grains; to an altered Cd uptake ability
of roots; and/or to a higher capacity to mobilise it from the
soil. Greger and Landberg (2008) showed that high-Cd wheat
varieties did not take up more Cd than low-Cd cultivars when
provided in a nutrient solution. They concluded that the differ-
ences in Cd uptake are related to a different ability to mobilise
Cd in the rhizosphere rather than to a different root absorption
capacity. Indeed, it is known that by releasing root exudates
into the rhizosphere, plants can modify the biogeochemistry
of the soil and change the bioavailability of nutrients and con-
taminants (Badri and Vivanco 2009; Dong et al. 2007). Hence,
a higher Cd accumulation in the plant may be the result of a
higher release of Cd from soil particles by root exudates, and
thereby a higher concentration of Cd in the soil solution. Root
exudates constitute a wide range of organic compounds includ-
ing carbohydrates, organic acids, fatty acids and enzymes
(Badri and Vivanco 2009). Previous studies highlighted that
a higher release of organic acids (Dong et al. 2007; Zhu et al.
2011) and phytosiderophores (Hill et al. 2002) reduced Cd
bioavailability and thereby uptake by plants. Moreover, in the
plant, chelation with some ligands such as histidine and citrate
appears to route metals to the xylem, promoting root to shoot
transport (Clemens et al. 2002).

In the present study, we aimed at evaluating whether vari-
ous spring wheat varieties and their root exudation character-
istics affect Cd mobility in the rhizosphere and consequently
Cd uptake and allocation in the crop. We hypothesised that (i)
‘high Cd cultivars’ mobilise more Cd from soil particles, and
(ii) ‘low Cd cultivars’ present a higher ability to exclude Cd
from the roots, and (iii) higher exudation of amino acids and
organic acids increases Cd uptake and translocation in wheat.

**2 Material and Method**

**2.1 Soil**

The soil was sampled in an agricultural field in Skåne, south
of Sweden. A soil presenting naturally high Cd concentration

(0.98 mg kg⁻¹), leading to high Cd concentration in wheat
was sought; the sampling area was therefore selected accord-
ing to the results from Söderström and Eriksson (2013). Soils
from this area have organic matter content around 3–4% and
pH of 6.5 (Eriksson 1990). The air-dried soil was sieved to
2 mm and mixed with sand at 1:1 weigh ratio resulting in a Cd
concentration of the soil and sand mixture of 0.49 mg kg⁻¹.

**2.2 Plant Material and Growth**

Nine spring wheat genotypes were used as they vary in roots
and shoots traits as well as in nutrient accumulation (Liu
et al 2021). Seeds from eight genotypes were obtained from
Lantmännen: ‘KWS Alderon’ (‘Alderon’, Germany, KWS
W185), ‘Bjarne’ (Sweden, NK 97,520), ‘Boett’ (Sweden, SW
71,034), ‘Dacke’ (Sweden, WW 26,267), ‘Diskett’ (Sweden,
SW 45,456), ‘Happy’ (Sweden, SW 91,003), ‘Quarna’ (Swit-
zerland, CH 21,112,283) and ‘Rohan’ (Sweden, SW 01,198).
The last genotype, ‘Dala LR’, a landrace originating in Dalarna
(Sweden) was supplied by local farmers. Grains were germi-
nated for 3 days on a wet filter paper in the dark at 21 °C. Seed-
lings were transplanted to 50-ml tubes (one seedling per tube)
filled with the soil:sand mixture. Plants were grown for 21 days
with 12-h light, 24 °C during the day and 19 °C during the
night and constant humidity (60%) in a growing cabinet (CLF
Plant Climatics Modell SE41-E2, Germany). A full fertiliser
(‘Blomstra’) was used, and fertiliser solutions were added at
transplanting, 7 and 15 days thereafter. The total amount of
nutrients added to 1 g of soil:sand mixture was: 382 µg N g⁻¹,
75 µg P g⁻¹, 322 µg K g⁻¹, 30 µg S g⁻¹, 22 µg Ca g⁻¹,
30 µg Mg g⁻¹, 2.6 µg Fe g⁻¹, 1.5 µg Mn g⁻¹, 0.75 µg B g⁻¹,
0.23 µg Zn g⁻¹, 0.11 µg Cu g⁻¹ and 0.03 µg Mo g⁻¹.

For determination of Cd contents, additional wheat ker-
nels were obtained from the same nine genotypes grown in
a field experiment situated in Säby (Sweden) in 2019 (Weih
et al., 2021). Standard fertilisation rates were applied after
sowing (140 kg N ha⁻¹, 24 kg P ha⁻¹, 46 kg K ha⁻¹). In the
field experiment, all varieties were grown in 88 m² plots (dis-
tributed as 22 m² parcels on four blocks). Wheat seeds were
sown on the 23rd of April 2019. Seed rates were 550 seeds
m², as common in the region. Final harvest of the central plot
area (6 m × 2 m) was done on the 23rd of August 2019 with a
combine harvester to assess agronomic grain yield. Further
details on the experimental conditions can be found in Weih
et al. (2021) and Liu et al. (2022). Kernels analysed were
the result from pooled samples from the four blocks. Results
presented are the average of four analytical replicates.

**2.3 Root Exudate Sampling and Analysis by H¹-NMR**
**(Proton Nuclear Magnetic Resonance)**

Root exudates were sampled from the seedlings grown for 21 days
in the growing cabinet, adopting a soil-hydroponic-hybrid
method proposed by Oburger and Jones (2018): After a 21-day growing period, wheat plants were sampled after 5 to 7 h of light exposure between 10 and 12 a.m. in the morning. The root system was carefully removed from the soil to avoid root damage. Roots were then thoroughly washed and treated with deionised water. Plant roots were soaked in H₂O for 30 min to remove molecules released due to root damage. After 30 min, the root system was rinsed and the solution was replaced by fresh H₂O. Plants were then placed in a growing cabinet for 2 h (CLF Plant Climatics Modell SE41-E2, Germany) in order to collect root exudates. After collection, the solution was filtered through 0.2-µm mesh and immediately placed at -20 °C prior freeze-drying.

Freeze-dried root exudates were dissolved in 500 µL ultra-pure H₂O, before analysis by H¹-NMR. A volume of 150 µL phosphate buffer (0.4 mol/L, pH 7.0) and 45 µL D₂O were added to 375 µL of re-dissolved root exudates samples. To ensure quantitative measurements of metabolites, 30 µL of sodium-3-(trimethylsilyl)-2,2,3,3-tetradecatrienopropionate (5.8 mmol/L) (Cambridge Isotope Laboratories, Andover, MA), used as an internal standard, was also added (Moazzami et al. 2012).

The mixture was used for ¹H-NMR analysis with a Bruker Avance III spectrometer operating at 600 MHz equipped with a cryogenically cooled probe and autosampler. ¹H-NMR spectra were acquired using zgesgp pulse sequence (Bruker Spectrospin Ltd) at 25 °C, with 128 scans and 65,356 data points over a spectral width of 17,942.58 Hz (acquisition time 1.83 s, relaxation delay 4 s) (Röhnisch et al. 2018).

The ¹H-NMR signals were identified and quantified using the NMR Suite 7.1 library (ChenomX Inc, Edmonton, Canada). Peak size for quantification was made manually following the same order and reference peak per compound for all the spectra (see supplemental data S1).

Compound flux was calculated as follows:

$$ \text{root exudates flux} = \frac{C \times RV \times d}{R} \div h $$

where C is the concentrations measured with ¹H-NMR in mM, RV is the volume in which the freeze dried root exudates where resolubilised, in millilitres (ml), d is the dilution factor as the resolubilised sample was diluted in phosphate buffer, D₂O and internal standard solution.

R correspond to the root dry weight in g, and h the sampling time of the root exudates, in hours.

## 2.4 Determination of Cadmium Concentration Adsorbed at the Root Surface

After root exudate collection, plant roots were transferred in about 35 ml (volume exactly determined by weighing) of 20 mM Na₂EDTA solution for 30 min. The solution was then filtrated at 0.2 µm and stored at +4 °C before Cd analysis by

inductively coupled plasma-mass spectrometry (ICP-MS, Perkin Elmer, NexIon 350d). A performance check of the instrument was done prior each analytical sequence according to the manufacturer recommendations. The calibration standards (0.1 to 50 µg L⁻¹) were matrix matched to the sample matrix, and ¹¹⁵In was used as an internal standard. Detected Cd concentrations were corrected for procedural blanks. The results are expressed in µg g⁻¹ dry weight (DW) of roots.

## 2.5 Determination of Cadmium Concentrations in Wheat

Shoots and roots from the 21-day old plants were washed and separated prior freeze-drying. Dry shoots and roots systems were placed in a Teflon vessel and weighed before acid digestion using 65% HNO₃ and a microwave digestion system (Ethos easy, Milestone srl, Italy) following the EPA 3052 guidelines (U.S Environmental Protection Agency 1996). Approximately 1 g of kernel was weighed and digested using the same method (Potočnik et al. 2021; Zhang et al. 2019). The mineralisation products were filtered with a 0.45-µm mesh and stored at +4 °C before Cd measurement. Cadmium was measured in digestate (diluted 1:10 times with ultrapure water) using ICP-MS (PerkinElmer Nexion 350D) as indicated above. Quality assurance and accuracy of the digestion and analytical method were checked using a plant certified reference material (ERM-CD281 Rye grass, European Reference Materials) with accuracy within 100 ± 10%.

The translocation factor (TF), i.e. root to shoot allocation ratio was determined as follows:

$$ TF = \frac{Cd_{\text{Shoots}}}{Cd_{\text{roots}}} $$

With Cdₜoots, the concentration of Cd measured in shoots in µg.g⁻¹; and Cdₜoots the concentration of Cd measured in roots in µg.g⁻¹;

Plant Cd uptake was calculated as follows:

$$ Cd_{\text{uptake}} = (Cd_{\text{shoots}} \times m_{\text{shoots}}) + (Cd_{\text{roots}} \times m_{\text{roots}}) $$

With Cdₜoots and Cdₜoots, the concentration of Cd measured in shoots and roots (µg g⁻¹) respectively; and mₜoots and mₜoots biomass dry weight of shoots and roots (g), respectively.

## 2.6 Determination of Mobile Cadmium Concentration in Soil

A 0.05 M ethylenediaminetetraacetic acid (EDTA) (pH=7.00 ± 0.05) solution was used as an extractant and prepared following the protocol of the Community Bureau of Reference (CBR) (Quevauviller 1998). A volume of EDTA corresponding to a soil:solution ratio of 1:10 w/v
method proposed by Oburger and Jones (2018): After a 21-day growing period, wheat plants were sampled after 5 to 7 h of light exposure between 10 and 12 a.m. in the morning. The root system was carefully removed from the soil to avoid root damage. Roots were then thoroughly washed and treated with deionised water. Plant roots were soaked in H₂O for 30 min to remove molecules released due to root damage. After 30 min, the root system was rinsed and the solution was replaced by fresh H₂O. Plants were then placed in a growing cabinet for 2 h (CLF Plant Climatics Modell SE41-E2, Germany) in order to collect root exudates. After collection, the solution was filtered through 0.2-µm mesh and immediately placed at -20 °C prior freeze-drying.

Freeze-dried root exudates were dissolved in 500 µL ultra-pure H₂O, before analysis by H¹-NMR. A volume of 150 µL phosphate buffer (0.4 mol/L, pH 7.0) and 45 µL D₂O were added to 375 µL of re-dissolved root exudates samples. To ensure quantitative measurements of metabolites, 30 µL of sodium-3-(trimethylsilyl)-2,2,3,3-tetradecatrienopropionate (5.8 mmol/L) (Cambridge Isotope Laboratories, Andover, MA), used as an internal standard, was also added (Moazzami et al. 2012).

The mixture was used for ¹H-NMR analysis with a Bruker Avance III spectrometer operating at 600 MHz equipped with a cryogenically cooled probe and autosampler. ¹H-NMR spectra were acquired using zgesgp pulse sequence (Bruker Spectrospin Ltd) at 25 °C, with 128 scans and 65,356 data points over a spectral width of 17,942.58 Hz (acquisition time 1.83 s, relaxation delay 4 s) (Röhnisch et al. 2018).

The ¹H-NMR signals were identified and quantified using the NMR Suite 7.1 library (ChenomX Inc, Edmonton, Canada). Peak size for quantification was made manually following the same order and reference peak per compound for all the spectra (see supplemental data S1).

Compound flux was calculated as follows:

$$ \text{root exudates flux} = \frac{C \times RV \times d}{R} \div h $$

where C is the concentrations measured with ¹H-NMR in mM, RV is the volume in which the freeze dried root exudates where resolubilised, in millilitres (ml), d is the dilution factor as the resolubilised sample was diluted in phosphate buffer, D₂O and internal standard solution.

R correspond to the root dry weight in g, and h the sampling time of the root exudates, in hours.

## 2.4 Determination of Cadmium Concentration Adsorbed at the Root Surface

After root exudate collection, plant roots were transferred in about 35 ml (volume exactly determined by weighing) of 20 mM Na₂EDTA solution for 30 min. The solution was then filtrated at 0.2 µm and stored at +4 °C before Cd analysis by

inductively coupled plasma-mass spectrometry (ICP-MS, Perkin Elmer, NexIon 350d). A performance check of the instrument was done prior each analytical sequence according to the manufacturer recommendations. The calibration standards (0.1 to 50 µg L⁻¹) were matrix matched to the sample matrix, and ¹¹⁵In was used as an internal standard. Detected Cd concentrations were corrected for procedural blanks. The results are expressed in µg g⁻¹ dry weight (DW) of roots.

## 2.5 Determination of Cadmium Concentrations in Wheat

Shoots and roots from the 21-day old plants were washed and separated prior freeze-drying. Dry shoots and roots systems were placed in a Teflon vessel and weighed before acid digestion using 65% HNO₃ and a microwave digestion system (Ethos easy, Milestone srl, Italy) following the EPA 3052 guidelines (U.S Environmental Protection Agency 1996). Approximately 1 g of kernel was weighed and digested using the same method (Potočnik et al. 2021; Zhang et al. 2019). The mineralisation products were filtered with a 0.45-µm mesh and stored at +4 °C before Cd measurement. Cadmium was measured in digestate (diluted 1:10 times with ultrapure water) using ICP-MS (PerkinElmer Nexion 350D) as indicated above. Quality assurance and accuracy of the digestion and analytical method were checked using a plant certified reference material (ERM-CD281 Rye grass, European Reference Materials) with accuracy within 100 ± 10%.

The translocation factor (TF), i.e. root to shoot allocation ratio was determined as follows:

$$ TF = \frac{Cd_{\text{Shoots}}}{Cd_{\text{roots}}} $$

With Cdₜoots, the concentration of Cd measured in shoots in µg.g⁻¹; and Cdₜoots the concentration of Cd measured in roots in µg.g⁻¹;

Plant Cd uptake was calculated as follows:

$$ Cd_{\text{uptake}} = (Cd_{\text{shoots}} \times m_{\text{shoots}}) + (Cd_{\text{roots}} \times m_{\text{roots}}) $$

With Cdₜoots and Cdₜoots, the concentration of Cd measured in shoots and roots (µg g⁻¹) respectively; and mₜoots and mₜoots biomass dry weight of shoots and roots (g), respectively.

## 2.6 Determination of Mobile Cadmium Concentration in Soil

A 0.05 M ethylenediaminetetraacetic acid (EDTA) (pH=7.00 ± 0.05) solution was used as an extractant and prepared following the protocol of the Community Bureau of Reference (CBR) (Quevauviller 1998). A volume of EDTA corresponding to a soil:solution ratio of 1:10 w/v
was added to fresh soil sample. The mixture was stirred at room temperature on an orbital shaker at 125 rpm for 1 h. The tubes were then centrifuged for 10 min at 8000 rpm, and the supernatants were collected and filtered to 0.45 µm. The resulting solutions were stored at +4 °C until Cd analysis by ICP-MS. The soil pellet was air dried for a week and dry soil weight was used for calculation.

## 2.7 Statistical Analysis

All statistical analyses and graphical presentations were performed using R software (R Core team 2019), except Fig. 3, made with Microsoft Excel (Microsoft corporation 2016).

Kruskal Wallis test for average differences and posthoc Dunn test using the Benjamini-Hochberg (BH) method for *p* value correction for multiple comparisons were performed using the function *dunn.test* from the package “dunn.test” (Dinno 2017).

Spearman correlations between groups were performed with the *statsby* function from the package “psych” (Revelle 2019) and the *p-adjust* function, from the package ‘stats’ (R Core team 2019) using the Benjamini-Hochberg (BH) method for *p* value correction for multiple comparisons. The

linear models were performed using the function *lm* from the package “stats” (R Core team 2019).

# 3 Results

## 3.1 Cd Accumulation and Distribution in the Different Genotypes

No significant differences were found between the nine genotypes for Cd concentrations in shoots which ranged between 0.47 ± 0.04 (mean ± SE, *n* = 4) and 0.66 ± 0.09 µg g⁻¹ DW (Fig. 1A). However, significant Cd differences (Kruskal–Wallis test, *p* < 0.05) were highlighted for roots (Fig. 1B) and Cd adsorbed onto root surfaces concentrations (Fig. 1C), as well as for Cd contents in the entire plant (Cd in shoots + Cd in roots) (Fig. 1D), corresponding to the total Cd plant uptake. The root concentrations ranged between 1.40 ± 0.04 for ‘Boett’ and 2.66 ± 0.26 µg g⁻¹ DW for ‘Diskett’; the concentrations of Cd adsorbed onto the root surface ranged between 0.46 ± 0.1 for ‘Dacke’ and 1.10 ± 0.03 µg g⁻¹ DW for ‘Alderon’. Average Cd content ranged from 0.83 ± 0.10 to 1.56 ± 0.31 µg Cd plant⁻¹ for ‘Bjarne’ and ‘Diskett’, respectively.

<figure><img src="image_4.png" /><figcaption>**Fig. 1** Boxplot representing the concentrations of Cd in shoots (A), roots (B), and adsorbed onto root surfaces (C) in µg g⁻¹ DW. Cadmium uptake in µg Cd per plant is shown in (D). The black dots represent the average concentrations (*n* = 4). Statistically significant differences (Kruskal–Wallis with Dunn’s posthoc test, significant *p* values < 0.05) are represented by different letters above each boxplot</figcaption></figure>
was added to fresh soil sample. The mixture was stirred at room temperature on an orbital shaker at 125 rpm for 1 h. The tubes were then centrifuged for 10 min at 8000 rpm, and the supernatants were collected and filtered to 0.45 µm. The resulting solutions were stored at +4 °C until Cd analysis by ICP-MS. The soil pellet was air dried for a week and dry soil weight was used for calculation.

## 2.7 Statistical Analysis

All statistical analyses and graphical presentations were performed using R software (R Core team 2019), except Fig. 3, made with Microsoft Excel (Microsoft corporation 2016).

Kruskal Wallis test for average differences and posthoc Dunn test using the Benjamini-Hochberg (BH) method for *p* value correction for multiple comparisons were performed using the function *dunn.test* from the package “dunn.test” (Dinno 2017).

Spearman correlations between groups were performed with the *statsby* function from the package “psych” (Revelle 2019) and the *p-adjust* function, from the package ‘stats’ (R Core team 2019) using the Benjamini-Hochberg (BH) method for *p* value correction for multiple comparisons. The

linear models were performed using the function *lm* from the package “stats” (R Core team 2019).

# 3 Results

## 3.1 Cd Accumulation and Distribution in the Different Genotypes

No significant differences were found between the nine genotypes for Cd concentrations in shoots which ranged between 0.47 ± 0.04 (mean ± SE, *n* = 4) and 0.66 ± 0.09 µg g⁻¹ DW (Fig. 1A). However, significant Cd differences (Kruskal–Wallis test, *p* < 0.05) were highlighted for roots (Fig. 1B) and Cd adsorbed onto root surfaces concentrations (Fig. 1C), as well as for Cd contents in the entire plant (Cd in shoots + Cd in roots) (Fig. 1D), corresponding to the total Cd plant uptake. The root concentrations ranged between 1.40 ± 0.04 for ‘Boett’ and 2.66 ± 0.26 µg g⁻¹ DW for ‘Diskett’; the concentrations of Cd adsorbed onto the root surface ranged between 0.46 ± 0.1 for ‘Dacke’ and 1.10 ± 0.03 µg g⁻¹ DW for ‘Alderon’. Average Cd content ranged from 0.83 ± 0.10 to 1.56 ± 0.31 µg Cd plant⁻¹ for ‘Bjarne’ and ‘Diskett’, respectively.

<figure><img src="image_4.png" /><figcaption>**Fig. 1** Boxplot representing the concentrations of Cd in shoots (A), roots (B), and adsorbed onto root surfaces (C) in µg g⁻¹ DW. Cadmium uptake in µg Cd per plant is shown in (D). The black dots represent the average concentrations (*n* = 4). Statistically significant differences (Kruskal–Wallis with Dunn’s posthoc test, significant *p* values < 0.05) are represented by different letters above each boxplot</figcaption></figure>
Concentrations in the kernel (Table 1) from the same nine genotypes grown to maturity in the field showed significant differences with the lowest values for ‘Happy’ (63.9±4.6 ng Cd g⁻¹) and the highest for ‘Quarna’ (115±6.6 ng Cd g⁻¹) (Table 1). The Swedish criterion for quality-assured low Cd level products in grain is currently 100 ng Cd g⁻¹ for spring wheat (Svenskt Sigill 2011). In the kernel samples analysed, only ‘Quarna’s kernels had a Cd concentration higher than this limit and ‘Diskett’, ‘Dala LR’ and ‘Rohan’ were close with concentrations higher than 90 ng Cd g⁻¹.

Several significant correlations were highlighted between mean Cd concentrations in the different plant tissues, giving informations about Cd allocation pattern in wheat. The results highlighted that Cd concentration in the kernels was correlated to Cd concentration in the shoots (ρ=0.77, p<0.05) (Table 2). Moreover, adsorption of Cd at root surfaces appeared negatively correlated with Cd present in roots

(ρ = -0.74, p < 0.1) and Cd taken up by the plants (ρ = -0.68, p < 0.1). For all genotypes, Cd was mainly stored in roots amounting between 43 and 65% of total crop Cd with ‘Dacke’, ‘Diskett’ and ‘Happy’ being over 60% (Fig. 2). The fraction of Cd adsorbed at the root surface ranged from 9 to 31%. ‘Alderon’ and ‘Boett’ showed the highest Cd exclusion with more than 25% of total Cd present at the root surface. The fraction of Cd stored in shoots ranged from 25 to 40%, with ‘Bjarne’, ‘Quarna’, ‘Rohan’ and ‘Dala LR’ accumulating more than 35% of the total Cd content in shoots.

## 3.2 Effects of Cd Mobility and Root Exclusion on Cd Uptake

Rhizospheric mobile Cd, here defined as the EDTA-extractable Cd in rhizosphere soil, was significantly different between the genotypes (Kruskal–Wallis test, p < 0.01) varying between 0.17±0.012 and 0.21±0.005 µg Cd g⁻¹ dry soil (Fig. 3A). No correlation was observed between the ability of genotypes to mobilise Cd in the rhizosphere and Cd uptake (Spearman, ρ > 0.05). However, Cd uptake was significantly correlated to the concentration of Cd adsorbed at the root surface (Fig. 3B, Spearman, ρ < 0.05), with lower uptake for the genotypes with higher Cd exclusion capacities.

## 3.3 Composition of Root Exudates

Forty-five different root exudates (RE) compounds were identified via ¹H-NMR. Concentrations of main compounds identified are shown in supplementary data (Supplementary Table S2.1 to S2.5). The four main chemical categories were sugars, amino acids, organic acids as well as nucleic acids

<table><caption>**Table 1** Cd concentrations in kernels. Results are the mean (±SD) of four analytical replicates. Statistically significant differences (Kruskal–Wallis with Dunn’s post hoc test, significant *p* values < 0.05) are represented by different letters</caption><thead><tr><th>Genotype</th><th>Cd in kernels (ng g<sup>-1</sup>)</th></tr></thead><tbody><tr><td>Alderon</td><td>84.7±10.0 cde</td></tr><tr><td>Bjarne</td><td>75.7±4.6 ef</td></tr><tr><td>Boett</td><td>95.0±8.1 b</td></tr><tr><td>Dacke</td><td>83.7±4.6 de</td></tr><tr><td>Diskett</td><td>99.1±6.1 ab</td></tr><tr><td>Happy</td><td>63.9±4.6 f</td></tr><tr><td>Quarna</td><td>115.0±6.6 a</td></tr><tr><td>Rohan</td><td>90.9±7.3 bcd</td></tr><tr><td>Dala LR</td><td>93.4±7.6 bc</td></tr></tbody></table>

<caption>**Table 2** Spearman’s correlation among Cd concentrations, Cd uptake and the translocation factor (TF). The upper part shows the correlation coefficients (black bold text, significant at *p* < 0.05; grey bold</caption>

text: significant at *p* < 0.1), and the lower part *p* values adjusted for multiple correlation with Benjamini–Hochberg method

<table><thead><tr><th></th><th>CdKernel</th><th>CdShoots</th><th>CdRoots</th><th>CdAdsorbed</th><th>CdUptake</th><th>TF</th></tr></thead><tbody><tr><td>CdKernel</td><td></td><td><strong>0.77</strong></td><td>0.01</td><td>0.02</td><td>0.19</td><td>0.32</td></tr><tr><td>CdShoots</td><td>0.05</td><td></td><td>0.10</td><td>-0.10</td><td>0.39</td><td>0.35</td></tr><tr><td>CdRoots</td><td>0.97</td><td>0.91</td><td></td><td><strong>-0.74</strong></td><td><strong>0.84</strong></td><td><strong>-0.85</strong></td></tr><tr><td>CdAdsorbed</td><td>0.97</td><td>0.91</td><td>0.06</td><td></td><td><strong>-0.68</strong></td><td>0.48</td></tr><tr><td>CdUptake</td><td>0.81</td><td>0.47</td><td>0.02</td><td>0.10</td><td></td><td>-0.50</td></tr><tr><td>TF</td><td>0.56</td><td>0.54</td><td>0.02</td><td>0.33</td><td>0.33</td><td></td></tr></tbody></table>
Concentrations in the kernel (Table 1) from the same nine genotypes grown to maturity in the field showed significant differences with the lowest values for ‘Happy’ (63.9±4.6 ng Cd g⁻¹) and the highest for ‘Quarna’ (115±6.6 ng Cd g⁻¹) (Table 1). The Swedish criterion for quality-assured low Cd level products in grain is currently 100 ng Cd g⁻¹ for spring wheat (Svenskt Sigill 2011). In the kernel samples analysed, only ‘Quarna’s kernels had a Cd concentration higher than this limit and ‘Diskett’, ‘Dala LR’ and ‘Rohan’ were close with concentrations higher than 90 ng Cd g⁻¹.

Several significant correlations were highlighted between mean Cd concentrations in the different plant tissues, giving informations about Cd allocation pattern in wheat. The results highlighted that Cd concentration in the kernels was correlated to Cd concentration in the shoots (ρ=0.77, p<0.05) (Table 2). Moreover, adsorption of Cd at root surfaces appeared negatively correlated with Cd present in roots

<table><caption>**Table 1** Cd concentrations in kernels. Results are the mean (±SD) of four analytical replicates. Statistically significant differences (Kruskal–Wallis with Dunn’s post hoc test, significant *p* values<0.05) are represented by different letters</caption><thead><tr><th>Genotype</th><th>Cd in kernels (ng g<sup>-1</sup>)</th></tr></thead><tbody><tr><td>Alderon</td><td>84.7 ± 10.0 cde</td></tr><tr><td>Bjarne</td><td>75.7 ± 4.6 ef</td></tr><tr><td>Boett</td><td>95.0 ± 8.1 b</td></tr><tr><td>Dacke</td><td>83.7 ± 4.6 de</td></tr><tr><td>Diskett</td><td>99.1 ± 6.1 ab</td></tr><tr><td>Happy</td><td>63.9 ± 4.6 f</td></tr><tr><td>Quarna</td><td>115.0 ± 6.6 a</td></tr><tr><td>Rohan</td><td>90.9 ± 7.3 bcd</td></tr><tr><td>Dala LR</td><td>93.4 ± 7.6 bc</td></tr></tbody></table>

<caption>**Table 2** Spearman’s correlation among Cd concentrations, Cd uptake and the translocation factor (TF). The upper part shows the correlation coefficients (black bold text, significant at *p*<0.05; grey bold</caption>

(ρ = -0.74, *p*<0.1) and Cd taken up by the plants (ρ = -0.68, *p*<0.1). For all genotypes, Cd was mainly stored in roots amounting between 43 and 65% of total crop Cd with ‘Dacke’, ‘Diskett’ and ‘Happy’ being over 60% (Fig. 2). The fraction of Cd adsorbed at the root surface ranged from 9 to 31%. ‘Alderon’ and ‘Boett’ showed the highest Cd exclusion with more than 25% of total Cd present at the root surface. The fraction of Cd stored in shoots ranged from 25 to 40%, with ‘Bjarne’, ‘Quarna’, ‘Rohan’ and ‘Dala LR’ accumulating more than 35% of the total Cd content in shoots.

## 3.2 Effects of Cd Mobility and Root Exclusion on Cd Uptake

Rhizospheric mobile Cd, here defined as the EDTA-extractable Cd in rhizosphere soil, was significantly different between the genotypes (Kruskal–Wallis test, *p*<0.01) varying between 0.17±0.012 and 0.21±0.005 µg Cd g⁻¹ dry soil (Fig. 3A). No correlation was observed between the ability of genotypes to mobilise Cd in the rhizosphere and Cd uptake (Spearman, *p*>0.05). However, Cd uptake was significantly correlated to the concentration of Cd adsorbed at the root surface (Fig. 3B, Spearman, *p*<0.05), with lower uptake for the genotypes with higher Cd exclusion capacities.

## 3.3 Composition of Root Exudates

Forty-five different root exudates (RE) compounds were identified via ¹H-NMR. Concentrations of main compounds identified are shown in supplementary data (Supplementary Table S2.1 to S2.5). The four main chemical categories were sugars, amino acids, organic acids as well as nucleic acids

text: significant at *p*<0.1), and the lower part *p* values adjusted for multiple correlation with Benjamini–Hochberg method

<table><thead><tr><th></th><th>CdKernel</th><th>CdShoots</th><th>CdRoots</th><th>CdAdsorbed</th><th>CdUptake</th><th>TF</th></tr></thead><tbody><tr><td>CdKernel</td><td></td><td><strong>0.77</strong></td><td>0.01</td><td>0.02</td><td>0.19</td><td>0.32</td></tr><tr><td>CdShoots</td><td>0.05</td><td></td><td>0.10</td><td>-0.10</td><td>0.39</td><td>0.35</td></tr><tr><td>CdRoots</td><td>0.97</td><td>0.91</td><td></td><td><strong>-0.74</strong></td><td><strong>0.84</strong></td><td><strong>-0.85</strong></td></tr><tr><td>CdAdsorbed</td><td>0.97</td><td>0.91</td><td>0.06</td><td></td><td><strong>-0.68</strong></td><td>0.48</td></tr><tr><td>CdUptake</td><td>0.81</td><td>0.47</td><td>0.02</td><td>0.10</td><td></td><td>-0.50</td></tr><tr><td>TF</td><td>0.56</td><td>0.54</td><td>0.02</td><td>0.33</td><td>0.33</td><td></td></tr></tbody></table>
<figure><img src="image_5.png" /><figcaption>**Fig. 2** Cd distribution in shoots (top: green colour), roots (middle: orange colour) and adsorbed at the root surface (bottom: brown colour) as a percentage of the total Cd amount in plants (sum of Cd in shoots, roots and adsorbed at the root surface)</figcaption></figure>

and their derivatives representing, on average, 50%, 15%, 25% and 1.5% of the amount of total RE identified, respectively (Table 3).

## 3.4 Correlation Between Root Exudates and Cd Concentrations in Wheat Varieties

Trends were found between Cd concentrations in shoots and the exudation of succinate and acetate (Fig. 4A and B) (Spearman's correlations: $ρ = 0.60$ and $0.62$, respectively, $p < 0.1$). Correlations became highly significant when 'Diskett' was discarded (Spearman's correlations: $ρ = 1.0$ and $0.97$ for acetate and succinate respectively, $p < 0.0001$).

Furthermore, the Cd concentration adsorbed at the root surface, i.e. excluded from root uptake, was significantly

correlated with the exudation of deoxyribonucleosides (Fig. 4D, sum of exudations of thymidine, 2'deoxyadenosine, 2'deoxyguanosine) (Spearman's correlation $ρ = 0.90, p < 0.05$).

## 4 Discussion

This study focuses on how root exudates composition can influence Cd uptake and translocation by spring wheat. Using nine different genotypes with various Cd uptake capacities, root exudate composition was quantified and correlated with concentrations as well as Cd distribution in the various soil-plant compartments. Studies focusing on the role of root exudates for trace metal and metalloids detoxification are often performed under hydroponic conditions (Fu et al. 2018; Luo et al. 2017; Rossi et al. 2018; Taddei et al. 2002; Zhao et al. 2016), which do not represent realistic conditions for root exudation in soil. To get closer to more realistic composition and concentration of root exudates, we evaluated plant-soil interactions by adopting a soil-hydroponic-hybrid method as defined by Oburger and Jones (2018).

The first hypothesis was that 'high Cd cultivars' can mobilise more Cd from soil. Soil pH is known to be a primary factor influencing plant availability of Cd (Eriksson 1990; Kicińska et al. 2022) and very important for Cd uptake by wheat (Liu et al. 2015). Moreover, it has been suggested that differences in Cd concentrations in wheat cultivars were related to their ability to mobilise Cd from the soil (Greger and Landberg 2008). Our results did not corroborate these findings showing no correlation between mobile Cd in rhizospheric soil and Cd uptake by wheat cultivars. These results suggest that (i) either the soil extraction method used was not the most representative of bioavailable Cd or (ii) other processes than the solubilisation of Cd from the soil are involved in the genotypic difference, for example, intrinsic plant physiology processes such as

<figure><img src="image_6.png" /><figcaption>**Fig. 3** Cadmium taken up by plant (µg) as a function of (A) the concentration of Cd mobile in the rhizosphere (µg g⁻¹ DW) and (B) the concentration of Cd adsorbed at the root surface (µg g⁻¹ DW). Value of ρ corresponds to the Spearman correlation coefficient (*significant at $p < 0.05$; ns, non-significant ($p > 0.1$). R² correspond to the coefficient of determination for the model applied (dotted lines)</figcaption></figure>

<figure><img src="image_7.png" /></figure>
<figure><img src="image_5.png" /><figcaption>**Fig. 2** Cd distribution in shoots (top: green colour), roots (middle: orange colour) and adsorbed at the root surface (bottom: brown colour) as a percentage of the total Cd amount in plants (sum of Cd in shoots, roots and adsorbed at the root surface)</figcaption></figure>

and their derivatives representing, on average, 50%, 15%, 25% and 1.5% of the amount of total RE identified, respectively (Table 3).

## 3.4 Correlation Between Root Exudates and Cd Concentrations in Wheat Varieties

Trends were found between Cd concentrations in shoots and the exudation of succinate and acetate (Fig. 4A and B) (Spearman's correlations: $ρ = 0.60$ and $0.62$, respectively, $p<0.1$). Correlations became highly significant when 'Diskett' was discarded (Spearman's correlations: $ρ = 1.0$ and $0.97$ for acetate and succinate respectively, $p<0.0001$).

Furthermore, the Cd concentration adsorbed at the root surface, i.e. excluded from root uptake, was significantly

correlated with the exudation of deoxyribonucleosides (Fig. 4D, sum of exudations of thymidine, 2'deoxyadenosine, 2'deoxyguanosine) (Spearman's correlation $ρ=0.90, p<0.05$).

## 4 Discussion

This study focuses on how root exudates composition can influence Cd uptake and translocation by spring wheat. Using nine different genotypes with various Cd uptake capacities, root exudate composition was quantified and correlated with concentrations as well as Cd distribution in the various soil-plant compartments. Studies focusing on the role of root exudates for trace metal and metalloids detoxification are often performed under hydroponic conditions (Fu et al. 2018; Luo et al. 2017; Rossi et al. 2018; Taddei et al. 2002; Zhao et al. 2016), which do not represent realistic conditions for root exudation in soil. To get closer to more realistic composition and concentration of root exudates, we evaluated plant-soil interactions by adopting a soil-hydroponic-hybrid method as defined by Oburger and Jones (2018).

The first hypothesis was that 'high Cd cultivars' can mobilise more Cd from soil. Soil pH is known to be a primary factor influencing plant availability of Cd (Eriksson 1990; Kicińska et al. 2022) and very important for Cd uptake by wheat (Liu et al. 2015). Moreover, it has been suggested that differences in Cd concentrations in wheat cultivars were related to their ability to mobilise Cd from the soil (Greger and Landberg 2008). Our results did not corroborate these findings showing no correlation between mobile Cd in rhizospheric soil and Cd uptake by wheat cultivars. These results suggest that (i) either the soil extraction method used was not the most representative of bioavailable Cd or (ii) other processes than the solubilisation of Cd from the soil are involved in the genotypic difference, for example, intrinsic plant physiology processes such as

<figure><img src="image_6.png" /><figcaption>**Fig. 3** Cadmium taken up by plant (µg) as a function of (A) the concentration of Cd mobile in the rhizosphere (µg g⁻¹ DW) and (B) the concentration of Cd adsorbed at the root surface (µg g⁻¹ DW). Value of ρ corresponds to the Spearman correlation coefficient (*significant at $p<0.05$; ns, non-significant ($p>0.1$). R² correspond to the coefficient of determination for the model applied (dotted lines)</figcaption></figure>

<figure><img src="image_7.png" /></figure>
<table><caption>**Table 3** Composition of root exudates separated into different compound classes</caption><thead><tr><th>Compound class</th><th>% of identified root exudates</th><th>Type of compound identified</th></tr></thead><tbody><tr><td>Sugars</td><td>38–65</td><td>Fructose, galactose, glucose, maltose, sucrose, xylitol</td></tr><tr><td>Amino acids</td><td>9–22</td><td>4-Aminobutyrate, alanine, alloisoleucine, asparagine, aspartate, histidine, isoleucine, methionine, phenylalanine, proline, tryptophan, tyrosine, valine</td></tr><tr><td>Organic acids</td><td>16–39</td><td>Acetate, cinnamate, citrate, formate, fumarate, lactate, malate, succinate</td></tr><tr><td>Nucleic acids and derivatives</td><td>0.5–2</td><td>2'-Deoxyadenosine, 2'-deoxyguanosine, 2'-deoxyuridine, adenine, adenosine, cytidine, guanosine, thymidine, thymine, uridine</td></tr><tr><td>Others</td><td>4–9</td><td>3-hydroxybutyrate, betaine, creatine phosphate, galactarate, N-acetyltyrosine, O-phosphocholine, oxypurinol, glycerophosphocholine</td></tr></tbody></table>

the type of membrane metal transporter (Guo et al. 2022) or root morphology and anatomy (Huang et al. 2019).

Another hypothesis was that ‘low Cd cultivars’ have a higher ability to exclude Cd from roots. The negative correlation between Cd uptake and the concentration of Cd adsorbed at the root surface highlighted that Cd adsorbed on the root surface cannot be taken up. Therefore, a higher root adsorption capacity may result in a lower Cd uptake. The non-linear shape of the relation between Cd adsorption and plant uptake indicates that some Cd is taken up by wheat cultivars irrespectively of the exclusion capacity of the various wheat cultivars. These observations are in line with results of Cheng et al. (2021) which showed that an increase of Cd adsorbed at root surface is accompanied by a decrease of Cd accumulation in wheat cultivated with a strain of metal-resistant bacteria. However, it is in contradiction with results showing that high-Cd-accumulating winter and durum wheat genotypes adsorbed more Cd on the root surface than low-Cd-accumulating genotypes or isolines (Adeniji et al. 2010;

Xiao et al. 2020). Exclusion mechanisms may differ between different types of wheat (spring, durum and winter) but the differences observed between the studies could also be explained by desorption methods, Cd exposure period and cultivation media, which differed among studies.

The strong positive correlation between the concentration of deoxyribonucleosides (thymidine, deoxyadenosine, deoxyguanosine) in root exudates and the concentration of Cd adsorbed at the root surface support the mechanism that Cd adsorption hinders plant uptake (see above). This observation suggests that the exudation of deoxyribonucleosides may contribute to the formation of a ‘DNA trap’ formed by root border cells. One may assume that the main origin of deoxyribonucleosides, i.e. the skeleton of deoxyribonucleic acid (DNA) constituents, is derived from lysed cells. However, there is evidence that extracellular DNA (exDNA) can be actively released from living roots (Nagler et al. 2018). Root border cells, also called ‘sloughed root cap cells’ are able to release exDNA into the mucilage layer (Hawes et al.

<figure><img src="image_8.png" /><figcaption>**Fig. 4** Concentrations of Cd in the shoots as a function of succinate exudation (A) and acetate exudation (B). Concentration of Cd adsorbed at the root surface as a function of deoxyribonucleosides exudation (C). All exudation concentrations are given in µM h⁻¹ g root⁻¹ DW. The lines represent the results of the linear model. Black dotted line and the</figcaption></figure>

black values for ρ (Spearman’s correlation coefficient) and R² are the results for all the genotypes. The grey dotted line and grey values of ρ and R² are the results when Diskett was discarded. **Significant at p < 0.01, °Significant at p < 0.1
<table><caption>**Table 3** Composition of root exudates separated into different compound classes</caption><thead><tr><th>Compound class</th><th>% of identified root exudates</th><th>Type of compound identified</th></tr></thead><tbody><tr><td>Sugars</td><td>38–65</td><td>Fructose, galactose, glucose, maltose, sucrose, xylitol</td></tr><tr><td>Amino acids</td><td>9–22</td><td>4-Aminobutyrate, alanine, alloisoleucine, asparagine, aspartate, histidine, isoleucine, methionine, phenylalanine, proline, tryptophan, tyrosine, valine</td></tr><tr><td>Organic acids</td><td>16–39</td><td>Acetate, cinnamate, citrate, formate, fumarate, lactate, malate, succinate</td></tr><tr><td>Nucleic acids and derivatives</td><td>0.5–2</td><td>2'-Deoxyadenosine, 2'-deoxyguanosine, 2'-deoxyuridine, adenine, adenosine, cytidine, guanosine, thymidine, thymine, uridine</td></tr><tr><td>Others</td><td>4–9</td><td>3-hydroxybutyrate, betaine, creatine phosphate, galactarate, N-acetyltyrosine, O-phosphocholine, oxypurinol, glycerophosphocholine</td></tr></tbody></table>

the type of membrane metal transporter (Guo et al. 2022) or root morphology and anatomy (Huang et al. 2019).

Another hypothesis was that ‘low Cd cultivars’ have a higher ability to exclude Cd from roots. The negative correlation between Cd uptake and the concentration of Cd adsorbed at the root surface highlighted that Cd adsorbed on the root surface cannot be taken up. Therefore, a higher root adsorption capacity may result in a lower Cd uptake. The non-linear shape of the relation between Cd adsorption and plant uptake indicates that some Cd is taken up by wheat cultivars irrespectively of the exclusion capacity of the various wheat cultivars. These observations are in line with results of Cheng et al. (2021) which showed that an increase of Cd adsorbed at root surface is accompanied by a decrease of Cd accumulation in wheat cultivated with a strain of metal-resistant bacteria. However, it is in contradiction with results showing that high-Cd-accumulating winter and durum wheat genotypes adsorbed more Cd on the root surface than low-Cd-accumulating genotypes or isolines (Adeniji et al. 2010;

Xiao et al. 2020). Exclusion mechanisms may differ between different types of wheat (spring, durum and winter) but the differences observed between the studies could also be explained by desorption methods, Cd exposure period and cultivation media, which differed among studies.

The strong positive correlation between the concentration of deoxyribonucleosides (thymidine, deoxyadenosine, deoxyguanosine) in root exudates and the concentration of Cd adsorbed at the root surface support the mechanism that Cd adsorption hinders plant uptake (see above). This observation suggests that the exudation of deoxyribonucleosides may contribute to the formation of a ‘DNA trap’ formed by root border cells. One may assume that the main origin of deoxyribonucleosides, i.e. the skeleton of deoxyribonucleic acid (DNA) constituents, is derived from lysed cells. However, there is evidence that extracellular DNA (exDNA) can be actively released from living roots (Nagler et al. 2018). Root border cells, also called ‘sloughed root cap cells’ are able to release exDNA into the mucilage layer (Hawes et al.

<figure><img src="image_8.png" /><figcaption>**Fig. 4** Concentrations of Cd in the shoots as a function of succinate exudation (A) and acetate exudation (B). Concentration of Cd adsorbed at the root surface as a function of deoxyribonucleosides exudation (C). All exudation concentrations are given in µM h⁻¹ g root⁻¹ DW. The lines represent the results of the linear model. Black dotted line and the</figcaption></figure>

black values for ρ (Spearman’s correlation coefficient) and R² are the results for all the genotypes. The grey dotted line and grey values of ρ and R² are the results when Diskett was discarded. **Significant at p < 0.01, °Significant at p < 0.1
2016). In fact, extracellular DNA has been shown to have a protective role against biotic and abiotic stress, including contaminants such as aluminium, arsenic (Hawes et al. 2016) and lead (Huskey et al. 2019, 2018). Moreover, it is known that mucilage can create a continuum between the soil and roots promoting water uptake (Ahmed et al. 2014). In the present study, deoxyribonucleoside exudation and Cd adsorption at the root surface were highly and positively correlated to water uptake rates (correlation coefficient *r* = 0.97, *p* < 0.0001 and *ρ* = 0.89, *p* < 0.01, respectively; results not shown). This may indicate the involvement of mucilage in the exclusion of Cd from crop uptake. Further research relating to the release of deoxyribonucleosides from root border cells and Cd adsorption would be needed to confirm whether this mechanism is in place. Here, experimentations similar to the ones conducted by Huskey et al. (2019) for Pb could be adopted. Cadmium trapping by root border cells could be evidenced by applying a Cd staining agent to a root tip immersed in a Cd solution and exDNA role revealed by addition of nuclease.

The third hypothesis was that root exudate compounds are involved in Cd uptake, transport and distribution in the crop. Comparison of root exudates concentration with other studies can be challenging due to the use of different species, but also due to different collection and analyses methods. However, several studies highlighted flux of organic acids and amino acids in the same order of magnitude in wheat, barley, rice (Fan et al. 2001), fava bean (Lv et al. 2020), hot pepper (Xin et al. 2015) and tomato (Zhu et al. 2011). Therefore, the relationships between the 45 compounds identified and the Cd content in spring wheat plants were investigated. Our results showed that the composition of root exudates had an influence on Cd distribution in the plant with a higher translocation of Cd to the shoots with higher acetate and succinate exudation. It has been suggested that root to shoot transport of metals is increasing when metal-chelate complexes, such as Cd-citrate, are involved (Senden et al. 1992). Studies showed that low molecular weight organic acids are involved in root to shoot translocation of metal ions in the form of complexes. Citrate seemed to be particularly involved in metal transport in the xylem (Kutrowska and Szelag 2014; Li et al. 2019). Chen et al. (2020) highlighted that addition of root exudates with 100 mmol L⁻¹ of citric acid promoted Cd transfer from roots to shoots. In the present study, the concentrations of Cd in shoots of wheat plants were positively correlated to the concentrations of organic acids, particularly of succinate and acetate. The two organic acids were also positively correlated with translocation factors *ρ*:0.73, *p* < 0.05 for acetate and *ρ*:0.67, *p* < 0.05 for succinate (Spearman's correlation; results not shown). Assuming that Cd-organic acid complexes can be directly taken up in the rhizosphere and transported within the plants is supporting the idea of their involvement in Cd

transport in the xylem. Cieśliński et al. (1998) found higher acetic and succinic acid concentrations in the rhizosphere of high Cd durum wheat genotype (Kyle) compared to the non-accumulating genotype (Arcola). They suggested that the involvement of these two organic acids could be extended to spring and durum wheat. Extrapolating the effect of succinate and acetate exudation to spring wheat was supported by our data except for 'Diskett'. Compared with the other genotypes, 'Diskett' showed relative higher Cd concentration in shoots in relation to exuded succinate and acetate concentrations. For this variety, other unknown mechanisms may be involved in the Cd transport from roots to shoots.

Finally, a significant positive correlation was found between Cd concentrations in 3-week old plant shoots and Cd concentrations in wheat kernels. These findings indicate that the Cd concentration in shoots at an early plant stage can be a suitable indicator of the level of Cd accumulation in kernels. This result is in line with previous results showing that Cd levels at early growth are a useful indicator for Cd contents in grains of genotypes from spring, durum and winter wheat (Greger and Löfstedt 2004; Stolt et al. 2006). Furthermore, Stolt et al. (2006) showed that the variation of Cd accumulation between genotypes remained consistent, regardless of soil type or growing season, suggesting that the results from the present study could be generalised to other growth conditions and that inherent crop properties are the most important for Cd levels in spring wheat.

## 5 Conclusions

It was hypothesised that differences of Cd uptake and distribution in spring wheat genotypes could result from different abilities to mobilise Cd from soil particles and exclude Cd at the root surface and differences in the exudation of amino acids and organic acids.

The results highlighted that neither the root exudation pattern nor the Cd uptake and distribution were correlated with Cd mobility in the rhizosphere soil, which implies that direct mechanistic links between root exudation and plant Cd uptake are unlikely to occur in wheat. However, it was shown that a higher Cd exclusion from the root leads to a lower Cd uptake and that root exudation composition influenced Cd distribution in the plants, but not Cd uptake. Indeed, the results showed that acetate and succinate exudation influenced shoot Cd concentrations, and that Cd exclusion from the roots was associated with the exudation level of deoxyribonucleosides. Our observations, which were mainly based on correlations, can be used as predictions for further mechanistic investigations to causally understand how root exudates can influence Cd transport, sequestration and exclusion from roots.
2016). In fact, extracellular DNA has been shown to have a protective role against biotic and abiotic stress, including contaminants such as aluminium, arsenic (Hawes et al. 2016) and lead (Huskey et al. 2019, 2018). Moreover, it is known that mucilage can create a continuum between the soil and roots promoting water uptake (Ahmed et al. 2014). In the present study, deoxyribonucleoside exudation and Cd adsorption at the root surface were highly and positively correlated to water uptake rates (correlation coefficient *r*=0.97, *p*<0.0001 and *ρ*=0.89, *p*<0.01, respectively; results not shown). This may indicate the involvement of mucilage in the exclusion of Cd from crop uptake. Further research relating to the release of deoxyribonucleosides from root border cells and Cd adsorption would be needed to confirm whether this mechanism is in place. Here, experimentations similar to the ones conducted by Huskey et al. (2019) for Pb could be adopted. Cadmium trapping by root border cells could be evidenced by applying a Cd staining agent to a root tip immersed in a Cd solution and exDNA role revealed by addition of nuclease.

The third hypothesis was that root exudate compounds are involved in Cd uptake, transport and distribution in the crop. Comparison of root exudates concentration with other studies can be challenging due to the use of different species, but also due to different collection and analyses methods. However, several studies highlighted flux of organic acids and amino acids in the same order of magnitude in wheat, barley, rice (Fan et al. 2001), fava bean (Lv et al. 2020), hot pepper (Xin et al. 2015) and tomato (Zhu et al. 2011). Therefore, the relationships between the 45 compounds identified and the Cd content in spring wheat plants were investigated. Our results showed that the composition of root exudates had an influence on Cd distribution in the plant with a higher translocation of Cd to the shoots with higher acetate and succinate exudation. It has been suggested that root to shoot transport of metals is increasing when metal-chelate complexes, such as Cd-citrate, are involved (Senden et al. 1992). Studies showed that low molecular weight organic acids are involved in root to shoot translocation of metal ions in the form of complexes. Citrate seemed to be particularly involved in metal transport in the xylem (Kutrowska and Szelag 2014; Li et al. 2019). Chen et al. (2020) highlighted that addition of root exudates with 100 mmol L⁻¹ of citric acid promoted Cd transfer from roots to shoots. In the present study, the concentrations of Cd in shoots of wheat plants were positively correlated to the concentrations of organic acids, particularly of succinate and acetate. The two organic acids were also positively correlated with translocation factors *ρ*:0.73, *p*<0.05 for acetate and *ρ*:0.67, *p*<0.05 for succinate (Spearman's correlation; results not shown). Assuming that Cd-organic acid complexes can be directly taken up in the rhizosphere and transported within the plants is supporting the idea of their involvement in Cd

transport in the xylem. Cieśliński et al. (1998) found higher acetic and succinic acid concentrations in the rhizosphere of high Cd durum wheat genotype (Kyle) compared to the non-accumulating genotype (Arcola). They suggested that the involvement of these two organic acids could be extended to spring and durum wheat. Extrapolating the effect of succinate and acetate exudation to spring wheat was supported by our data except for ‘Diskett’. Compared with the other genotypes, ‘Diskett’ showed relative higher Cd concentration in shoots in relation to exuded succinate and acetate concentrations. For this variety, other unknown mechanisms may be involved in the Cd transport from roots to shoots.

Finally, a significant positive correlation was found between Cd concentrations in 3-week old plant shoots and Cd concentrations in wheat kernels. These findings indicate that the Cd concentration in shoots at an early plant stage can be a suitable indicator of the level of Cd accumulation in kernels. This result is in line with previous results showing that Cd levels at early growth are a useful indicator for Cd contents in grains of genotypes from spring, durum and winter wheat (Greger and Löfstedt 2004; Stolt et al. 2006). Furthermore, Stolt et al. (2006) showed that the variation of Cd accumulation between genotypes remained consistent, regardless of soil type or growing season, suggesting that the results from the present study could be generalised to other growth conditions and that inherent crop properties are the most important for Cd levels in spring wheat.

## 5 Conclusions

It was hypothesised that differences of Cd uptake and distribution in spring wheat genotypes could result from different abilities to mobilise Cd from soil particles and exclude Cd at the root surface and differences in the exudation of amino acids and organic acids.

The results highlighted that neither the root exudation pattern nor the Cd uptake and distribution were correlated with Cd mobility in the rhizosphere soil, which implies that direct mechanistic links between root exudation and plant Cd uptake are unlikely to occur in wheat. However, it was shown that a higher Cd exclusion from the root leads to a lower Cd uptake and that root exudation composition influenced Cd distribution in the plants, but not Cd uptake. Indeed, the results showed that acetate and succinate exudation influenced shoot Cd concentrations, and that Cd exclusion from the roots was associated with the exudation level of deoxyribonucleosides. Our observations, which were mainly based on correlations, can be used as predictions for further mechanistic investigations to causally understand how root exudates can influence Cd transport, sequestration and exclusion from roots.

<figure><img src="image_9.png" /></figure>
By identifying the relationship between the exudation level of some compounds and Cd concentration in different wheat plant parts, this study could help identify plant traits associated with Cd uptake and distribution in wheat and particularly in grains. Our results provide important information for plant breeders working on the development of low Cd accumulation varieties by helping them focus on genes and/or phenotypes involved in Cd uptake and translocation in spring wheat.

**Supplementary Information** The online version contains supplementary material available at https://doi.org/10.1007/s42729-023-01269-5.

**Author Contribution** All the authors contributed to the funding acquisition, conceptualization and methodology development of the study. Marie-Cécile Affholder and Ali Moazzami participated experimentally and processed the data. Marie-Cécile Affholder analysed the data and wrote the original draft. Ali Moazzami, Martin Weih, Holger Kirchmann and Anke Marianne Herrmann all participated to the supervision of the project and reviewed and edited the article.

**Funding** Open access funding provided by Swedish University of Agricultural Sciences. This work was supported by Lantmännens Forskingsstifelse [grant number 2018H036].

**Data Availability** The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

## Declarations

**Ethics Approval** The research did not involve humans or animal research.

**Competing Interests** The authors declare no competing interests.

**Open Access** This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

## References

Adeniji BA, Budimir-Hussey MT, Macfie SM (2010) Production of organic acids and adsorption of Cd on roots of durum wheat (Triticum turgidum L. var. durum). Acta Physiol Plant 32:1063–1072. https://doi.org/10.1007/s11738-010-0498-6

Ahmed M, Kroener E, Holz M, Zarebanadkouki M, Carminati A (2014) Mucilage exudation facilitates root water uptake in dry soils. Funct Plant Biol 41:1129–1137. https://doi.org/10.1071/FP13330

Badri DV, Vivanco JM (2009) Regulation and function of root exudates. Plant Cell Environ 32:666–681. https://doi.org/10.1111/j.1365-3040.2009.01926.x

Chen C, Li Z, Li S, Deng N, Mei P (2020) Effects of root exudates on the activation and remediation of cadmium ion in contaminated soils. Environ Sci and Pollut Res 27:2926–2934. https://doi.org/10.1007/s11356-019-07263-8

Cheng C, Wang Q, Wang QX, He LY, Sheng XF (2021) Wheat-associated *Pseudomonas taiwanensis* WRS8 reduces cadmium uptake by increasing root surface cadmium adsorption and decreasing cadmium uptake and transport related gene expression in wheat. Environ Pollut 268:115850. https://doi.org/10.1016/j.envpol.2020.115850

Cieśliński G, Van Rees KCJ, Szmigielska AM, Krishnamurti GSR, Huang PM (1998) Low-molecular-weight organic acids in rhizosphere soils of durum wheat and their effect on cadmium bioaccumulation. Plant Soil 203:109–117. https://doi.org/10.1023/A:1004325817420

Clemens S, Palmgren MG, Krämer U (2002) A long way ahead: understanding and engineering plant metal accumulation. Trends in Plant Sci 7:309–315. https://doi.org/10.1016/S1360-1385(02)02295-1

Coreteam R (2019) R: A language and environment for statistical computing. R foundation for statistical computing, Vienna

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EFSA (2009) Cadmium in food- Scientific opinion of the panel on contaminants in the food chain. EFSA J 980:1–139. https://doi.org/10.2903/j.efsa.2009.980

Eriksson JE (1990) A field study on factors influencing Cd levels in soils and in grains of oats and winter wheat. Wat Air and Soil Pollut 53:69–81

Fan TW-M, Lane AN, Shenker M, Bartley JP, Crowley D, Higashi RM (2001) Comprehensive chemical profiling of gramineous plant root exudates using high-resolution NMR and MS. Phytochem 57:209–221. https://doi.org/10.1016/S0031-9422(01)00007-3

Fu H, Yu H, Li T, Zhang X (2018) Influence of cadmium stress on root exudates of high cadmium accumulating rice line (Oryza sativa L.). Ecotoxicol Environ Saf 150:168–175. https://doi.org/10.1016/j.ecoenv.2017.12.014

Greger M, Landberg T (2008) Role of rhizosphere mechanisms in Cd uptake by various wheat cultivars. Plant Soil 312:195–205. https://doi.org/10.1007/s11104-008-9725-y

Greger M, Löfstedt M (2004) Comparison of uptake and distribution of cadmium in different cultivars of bread and durum wheat. Crop Sci 44:501–507. https://doi.org/10.2135/cropsci2004.5010

Guo N, Fan L, Cao Y, Ling H, Xu G, Zhou J, Chen Q, Tao J (2022) Comparison of two willow genotypes reveals potential roles of iron-regulated transporter 9 and heavy-metal ATPase 1 in cadmium accumulation and resistance in *Salix suchowensis*. Ecotoxicol Environ Saf 244:114065. https://doi.org/10.1016/j.ecoenv.2022.114065

Hawes CM, McLain J, Ramirez-Andreotta M, Curlango-Rivera G, Flores-Lara Y, Brigham AL (2016) Extracellular trapping of soil contaminants by root border cells: new insights into plant defense. Agronomy 6. https://doi.org/10.3390/agronomy6010005

Hill KA, Lion LW, Ahner BA (2002) Reduced Cd accumulation in Zea mays: a protective role for phytosiderophores? Environ Sci Technol 36:5363–5368. https://doi.org/10.1021/es020695z

Huang L, Li WC, Tam NFY, Ye Z (2019) Effects of root morphology and anatomy on cadmium uptake and translocation in rice (Oryza sativa L.). J Environ Sci 75:296–306. https://doi.org/10.1016/j.jes.2018.04.005

Huskey DA, Curlango-Rivera G, Root RA, Wen F, Amistadi MK, Chorover J, Hawes MC (2018) Trapping of lead (Pb) by corn and
By identifying the relationship between the exudation level of some compounds and Cd concentration in different wheat plant parts, this study could help identify plant traits associated with Cd uptake and distribution in wheat and particularly in grains. Our results provide important information for plant breeders working on the development of low Cd accumulation varieties by helping them focus on genes and/or phenotypes involved in Cd uptake and translocation in spring wheat.

**Supplementary Information** The online version contains supplementary material available at https://doi.org/10.1007/s42729-023-01269-5.

**Author Contribution** All the authors contributed to the funding acquisition, conceptualization and methodology development of the study. Marie-Cécile Affholder and Ali Moazzami participated experimentally and processed the data. Marie-Cécile Affholder analysed the data and wrote the original draft. Ali Moazzami, Martin Weih, Holger Kirchmann and Anke Marianne Herrmann all participated to the supervision of the project and reviewed and edited the article.

**Funding** Open access funding provided by Swedish University of Agricultural Sciences. This work was supported by Lantmännens Forskingsstifelse [grant number 2018H036].

**Data Availability** The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

## Declarations

**Ethics Approval** The research did not involve humans or animal research.

**Competing Interests** The authors declare no competing interests.

**Open Access** This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

## References

Adeniji BA, Budimir-Hussey MT, Macfie SM (2010) Production of organic acids and adsorption of Cd on roots of durum wheat (Triticum turgidum L. var. durum). Acta Physiol Plant 32:1063–1072. https://doi.org/10.1007/s11738-010-0498-6

Ahmed M, Kroener E, Holz M, Zarebanadkouki M, Carminati A (2014) Mucilage exudation facilitates root water uptake in dry soils. Funct Plant Biol 41:1129–1137. https://doi.org/10.1071/FP13330

Badri DV, Vivanco JM (2009) Regulation and function of root exudates. Plant Cell Environ 32:666–681. https://doi.org/10.1111/j.1365-3040.2009.01926.x

Chen C, Li Z, Li S, Deng N, Mei P (2020) Effects of root exudates on the activation and remediation of cadmium ion in contaminated soils. Environ Sci and Pollut Res 27:2926–2934. https://doi.org/10.1007/s11356-019-07263-8

Cheng C, Wang Q, Wang QX, He LY, Sheng XF (2021) Wheat-associated *Pseudomonas taiwanensis* WRS8 reduces cadmium uptake by increasing root surface cadmium adsorption and decreasing cadmium uptake and transport related gene expression in wheat. Environ Pollut 268:115850. https://doi.org/10.1016/j.envpol.2020.115850

Cieśliński G, Van Rees KCJ, Szmigielska AM, Krishnamurti GSR, Huang PM (1998) Low-molecular-weight organic acids in rhizosphere soils of durum wheat and their effect on cadmium bioaccumulation. Plant Soil 203:109–117. https://doi.org/10.1023/A:1004325817420

Clemens S, Palmgren MG, Krämer U (2002) A long way ahead: understanding and engineering plant metal accumulation. Trends in Plant Sci 7:309–315. https://doi.org/10.1016/S1360-1385(02)02295-1

Coreteam R (2019) R: A language and environment for statistical computing. R foundation for statistical computing, Vienna

Dinno A (2017) dunn.test: Dunn's test of multiple comparisons using rank sums. R package version 1.3.5. https://CRAN.R-project.org/package=dunn.test

Dong J, Mao WH, Zhang GP, Wu F, Cai Y (2007) Root excretion and plant tolerance to cadmium toxicity—a review. Plant Soil Environ 53:193–200. https://doi.org/10.17221/2205-pse

EFSA (2009) Cadmium in food- Scientific opinion of the panel on contaminants in the food chain. EFSA J 980:1–139. https://doi.org/10.2903/j.efsa.2009.980

Eriksson JE (1990) A field study on factors influencing Cd levels in soils and in grains of oats and winter wheat. Wat Air and Soil Pollut 53:69–81

Fan TW-M, Lane AN, Shenker M, Bartley JP, Crowley D, Higashi RM (2001) Comprehensive chemical profiling of gramineous plant root exudates using high-resolution NMR and MS. Phytochem 57:209–221. https://doi.org/10.1016/S0031-9422(01)00007-3

Fu H, Yu H, Li T, Zhang X (2018) Influence of cadmium stress on root exudates of high cadmium accumulating rice line (Oryza sativa L.). Ecotoxicol Environ Saf 150:168–175. https://doi.org/10.1016/j.ecoenv.2017.12.014

Greger M, Landberg T (2008) Role of rhizosphere mechanisms in Cd uptake by various wheat cultivars. Plant Soil 312:195–205. https://doi.org/10.1007/s11104-008-9725-y

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Guo N, Fan L, Cao Y, Ling H, Xu G, Zhou J, Chen Q, Tao J (2022) Comparison of two willow genotypes reveals potential roles of iron-regulated transporter 9 and heavy-metal ATPase 1 in cadmium accumulation and resistance in *Salix suchowensis*. Ecotoxicol Environ Saf 244:114065. https://doi.org/10.1016/j.ecoenv.2022.114065

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Lu M, Cao X, Pan J, Li T, Khan MB, Gurajala HK, He Z, Yang X (2020) Identification of wheat (Triticum aestivum L.) genotypes for food safety on two different cadmium contaminated soils. Environ Sci Pollut Res 27:7943–7956. https://doi.org/10.1007/s11356-019-07261-w

Luo Q, Wang S, Sun L, Wang H (2017) Metabolic profiling of root exudates from two ecotypes of Sedum alfredii treated with Pb based on GC-MS. Sci Rep 7:39878. https://doi.org/10.1038/srep39878

Lv J, Dong Y, Dong K, Zhao Q, Yang Z, Chen L (2020) Intercropping with wheat suppressed Fusarium wilt in faba bean and modulated the composition of root exudates. Plant Soil 448:153–164. https://doi.org/10.1007/s11104-019-04413-2

Microsoft corporation (2016) Microsoft excel. https://office.microsoft.com/excel

Moazzami AA, Bondia-Pons I, Hanhineva K, Juntunen K, Antl N, Poustanen K, Mykkänen H (2012) Metabolomics reveals the metabolic shifts following an intervention with rye bread in postmenopausal women—a randomized control trial. Nutr J 11:88. https://doi.org/10.1186/1475-2891-11-88

Nagler M, Insam H, Pietramellara G, Ascher-Jenull J (2018) Extracellular DNA in natural environments: features, relevance and applications. Appl Microbiol Biotechnol 102:6343–6356. https://doi.org/10.1007/s00253-018-9120-4

Oburger E, Jones DL (2018) Sampling root exudates – Mission impossible? Rhizosphere 6:116–133. https://doi.org/10.1016/j.rhisph.2018.06.004

Potočnik D, Jagodic Hudobivnik M, Mazej D, Ogrinc N (2021) Optimization of the sample preparation method for determination of multi-elemental composition in fruit samples by ICP-MS analysis. Meas Sens 18:100292. https://doi.org/10.1016/j.measen.2021.100292

Qin L, Li Z, Li B, Wang J, Zu Y, Jiang M, Li Y (2021) Organic acid excretion in root exudates as a mechanism of cadmium uptake in a Sonchus Asper-Zea Mays intercropping system. Bull Environ Contam Toxicol 107:1059–1064. https://doi.org/10.1007/s00128-021-03361-x

Quevauviller P (1998) Operationally defined extraction procedures for soil and sediment analysis I. Standardization Trac Trends Anal Chem 17:289–298. https://doi.org/10.1016/S0165-9936(97)00119-2

Rabnawaz A, Akram Z, Khan KS, Ahmad Q (2017) Performance of wheat genotypes under cadmium contamination of Soil. J Plant Sci Curr Res 1:1–4. https://doi.org/10.24966/PSCR-3743/100003

Revelle W (2019) psych: Procedures for personality and psychological research. Northwestern University, Evanston, Illinois, USA

Röhnisch HE, Eriksson J, Müllner E, Agback P, Sandström C, Moazzami AA (2018) AQuA: an automated quantification algorithm for high-throughput NMR-based metabolomics and its application in human plasma. Anal Chem 90:2095–2102. https://doi.org/10.1021/acs.analchem.7b04324

Rossi L, Sharifan H, Zhang W, Schwab AP, Ma X (2018) Mutual effects and in planta accumulation of co-existing cerium oxide nanoparticles and cadmium in hydroponically grown soybean (Glycine max (L.) Merr.). Environ Sci Nano 5:150–157. https://doi.org/10.1039/C7EN00931C

Senden MHMN, Van Paassen FJM, Van der Meer AJGM, Wolterbeek HTh (1992) Cadmium — citric acid — xylem cell wall interactions in tomato plants. Plant Cell Environ 15:71–79. https://doi.org/10.1111/j.1365-3040.1992.tb01459.x

Svenskt Sigill (2011) IP Sigill, spannmål & oljeväxter: Standard för kvalitetssäkrad spannmåls- & oljeväxtproduktion med tillval klimacertifiering. Svenskt Sigill AB 1:6 (in Swedish only). https://docplayer.se/31403194-Spannmal-oljeväxter.html

Singh BR, McLaughlin MJ (1999) Cadmium in soils and plants, in: McLaughlin, M.J., Singh, B.R. (Eds.), Cadmium in soils and plants. Springer Netherlands, Dordrecht, 257–267. https://doi.org/10.1007/978-94-011-4473-5_10

Söderström A, Eriksson J (2013) Gamma-ray spectrometry and geological maps as tools for cadmium risk assessment in arable soils. Geoderma 192:323–334. https://doi.org/10.1016/j.geoderma.2012.07.014

Stolt P, Asp H, Hultin S (2006) Genetic variation in wheat cadmium accumulation on soils with different cadmium concentrations. J Agron Crop Sci 192:201–208. https://doi.org/10.1111/j.1439-037X.2006.00202.x

Taddei P, Tugnoli V, Bottura G, Dallavalle E, Zechini D'Aulerio A (2002) Vibrational, 1H-NMR spectroscopic, and thermal characterization of gladiolus root exudates in relation to Fusarium oxysporum f. sp. gladioli resistance. Biopolymers 67:428–439. https://doi.org/10.1002/bip.10170

U.S Environmental Protection Agency (1996) Method 3052: microwave assisted acid digestion of siliceous and organically based matrices. 3rd Edition, Test Methods for Evaluating Solid Waste, US Environmental Protection Agency, Washington DC

Weih M, Liu H, Colombi T, Keller T, Jäck O, Vallenback P, Westerbergh A (2021) Evidence for magnesium-phosphorus synergism and co-limitation of grain yield in wheat agriculture. Sci Rep 11:9012. https://doi.org/10.1038/s41598-021-88588-8

Xiao Y-T, Du Z-J, Busso C-A, Qi X-B, Wu H-Q, Guo W, Wu D-F (2020) Differences in root surface adsorption, root uptake, subcellular distribution, and chemical forms of Cd between low- and
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Liu H, Fiorani F, Jäck O, Colombi T, Nagel KA, Weih M (2021) Shoot and root traits underlying genotypic variation in early vigor and nutrient accumulation in spring wheat grown in high-latitude light conditions. Plants 10:174. https://doi.org/10.3390/plants10010174

Liu H, Colombi T, Jäck O, Keller T, Weih M (2022) Effects of soil compaction on grain yield of wheat depend on weather conditions. Sci Total Environ 807:150763. https://doi.org/10.1016/j.scitotenv.2021.150763

Lu M, Cao X, Pan J, Li T, Khan MB, Gurajala HK, He Z, Yang X (2020) Identification of wheat (Triticum aestivum L.) genotypes for food safety on two different cadmium contaminated soils. Environ Sci Pollut Res 27:7943–7956. https://doi.org/10.1007/s11356-019-07261-w

Luo Q, Wang S, Sun L, Wang H (2017) Metabolic profiling of root exudates from two ecotypes of Sedum alfredii treated with Pb based on GC-MS. Sci Rep 7:39878. https://doi.org/10.1038/srep39878

Lv J, Dong Y, Dong K, Zhao Q, Yang Z, Chen L (2020) Intercropping with wheat suppressed Fusarium wilt in faba bean and modulated the composition of root exudates. Plant Soil 448:153–164. https://doi.org/10.1007/s11104-019-04413-2

Microsoft corporation (2016) Microsoft excel. https://office.microsoft.com/excel

Moazzami AA, Bondia-Pons I, Hanhineva K, Juntunen K, Antl N, Poustanen K, Mykkänen H (2012) Metabolomics reveals the metabolic shifts following an intervention with rye bread in postmenopausal women—a randomized control trial. Nutr J 11:88. https://doi.org/10.1186/1475-2891-11-88

Nagler M, Insam H, Pietramellara G, Ascher-Jenull J (2018) Extracellular DNA in natural environments: features, relevance and applications. Appl Microbiol Biotechnol 102:6343–6356. https://doi.org/10.1007/s00253-018-9120-4

Oburger E, Jones DL (2018) Sampling root exudates – Mission impossible? Rhizosphere 6:116–133. https://doi.org/10.1016/j.rhisph.2018.06.004

Potočnik D, Jagodic Hudobivnik M, Mazej D, Ogrinc N (2021) Optimization of the sample preparation method for determination of multi-elemental composition in fruit samples by ICP-MS analysis. Meas Sens 18:100292. https://doi.org/10.1016/j.measen.2021.100292

Qin L, Li Z, Li B, Wang J, Zu Y, Jiang M, Li Y (2021) Organic acid excretion in root exudates as a mechanism of cadmium uptake in a Sonchus Asper-Zea Mays intercropping system. Bull Environ Contam Toxicol 107:1059–1064. https://doi.org/10.1007/s00128-021-03361-x

Quevauviller P (1998) Operationally defined extraction procedures for soil and sediment analysis I. Standardization Trac Trends Anal Chem 17:289–298. https://doi.org/10.1016/S0165-9936(97)00119-2

Rabnawaz A, Akram Z, Khan KS, Ahmad Q (2017) Performance of wheat genotypes under cadmium contamination of Soil. J Plant Sci Curr Res 1:1–4. https://doi.org/10.24966/PSCR-3743/100003

Revelle W (2019) psych: Procedures for personality and psychological research. Northwestern University, Evanston, Illinois, USA

Röhnisch HE, Eriksson J, Müllner E, Agback P, Sandström C, Moazzami AA (2018) AQuA: an automated quantification algorithm for high-throughput NMR-based metabolomics and its application in human plasma. Anal Chem 90:2095–2102. https://doi.org/10.1021/acs.analchem.7b04324

Rossi L, Sharifan H, Zhang W, Schwab AP, Ma X (2018) Mutual effects and in planta accumulation of co-existing cerium oxide nanoparticles and cadmium in hydroponically grown soybean (Glycine max (L.) Merr.). Environ Sci Nano 5:150–157. https://doi.org/10.1039/C7EN00931C

Senden MHMN, Van Paassen FJM, Van der Meer AJGM, Wolterbeek HTh (1992) Cadmium — citric acid — xylem cell wall interactions in tomato plants. Plant Cell Environ 15:71–79. https://doi.org/10.1111/j.1365-3040.1992.tb01459.x

Svenskt Sigill (2011) IP Sigill, spannmål & oljeväxter: Standard för kvalitetssäkrad spannmåls- & oljeväxtproduktion med tillval klimacertifiering. Svenskt Sigill AB 1:6 (in Swedish only). https://docplayer.se/31403194-Spannmal-oljeväxter.html

Singh BR, McLaughlin MJ (1999) Cadmium in soils and plants, in: McLaughlin, M.J., Singh, B.R. (Eds.), Cadmium in soils and plants. Springer Netherlands, Dordrecht, 257–267. https://doi.org/10.1007/978-94-011-4473-5_10

Söderström A, Eriksson J (2013) Gamma-ray spectrometry and geological maps as tools for cadmium risk assessment in arable soils. Geoderma 192:323–334. https://doi.org/10.1016/j.geoderma.2012.07.014

Stolt P, Asp H, Hultin S (2006) Genetic variation in wheat cadmium accumulation on soils with different cadmium concentrations. J Agron Crop Sci 192:201–208. https://doi.org/10.1111/j.1439-037X.2006.00202.x

Taddei P, Tugnoli V, Bottura G, Dallavalle E, Zechini D'Aulerio A (2002) Vibrational, 1H-NMR spectroscopic, and thermal characterization of gladiolus root exudates in relation to Fusarium oxysporum f. sp. gladioli resistance. Biopolymers 67:428–439. https://doi.org/10.1002/bip.10170

U.S Environmental Protection Agency (1996) Method 3052: microwave assisted acid digestion of siliceous and organically based matrices. 3rd Edition, Test Methods for Evaluating Solid Waste, US Environmental Protection Agency, Washington DC

Weih M, Liu H, Colombi T, Keller T, Jäck O, Vallenback P, Westerbergh A (2021) Evidence for magnesium-phosphorus synergism and co-limitation of grain yield in wheat agriculture. Sci Rep 11:9012. https://doi.org/10.1038/s41598-021-88588-8

Xiao Y-T, Du Z-J, Busso C-A, Qi X-B, Wu H-Q, Guo W, Wu D-F (2020) Differences in root surface adsorption, root uptake, subcellular distribution, and chemical forms of Cd between low- and
high-Cd-accumulating wheat cultivars. Environ Sci Pollut Res 27:1417–1427. https://doi.org/10.1007/s11356-019-06708-4

Xin J, Huang B, Dai H, Zhou W, Yi Y, Peng L (2015) Roles of rhizosphere and root-derived organic acids in Cd accumulation by two hot pepper cultivars. Environ Sci Pollut Res 22:6254–6261. https://doi.org/10.1007/s11356-014-3854-z

Zhang J, Zhou M, Tian W, Wu Y, Chen X, Wang S (2019) In situ fast analysis of cadmium in rice by diluted acid extraction-anodic strip-ping voltammetry. RSC Adv 9:19965–19972. https://doi.org/10.1039/C9RA03073E

Zhao L, Huang Y, Hu J, Zhou H, Adeleye AS, Keller AA (2016) 1H NMR and GC-MS based metabolomics reveal defense and detoxification mechanism of cucumber plant under nano-Cu stress. Environ Sci Technol 50:2000–2010. https://doi.org/10.1021/acs.est.5b05011

Zhu XF, Zheng C, Hu YT, Jiang T, Liu Y, Dong NY, Yang JL, Zheng SJ (2011) Cadmium-induced oxalate secretion from root apex is associated with cadmium exclusion and resistance in Lycopersicon esculentum. Plant Cell Environ 34:1055–1064. https://doi.org/10.1111/j.1365-3040.2011.02304.x

**Publisher's Note** Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
high-Cd-accumulating wheat cultivars. Environ Sci Pollut Res 27:1417–1427. https://doi.org/10.1007/s11356-019-06708-4

Xin J, Huang B, Dai H, Zhou W, Yi Y, Peng L (2015) Roles of rhizosphere and root-derived organic acids in Cd accumulation by two hot pepper cultivars. Environ Sci Pollut Res 22:6254–6261. https://doi.org/10.1007/s11356-014-3854-z

Zhang J, Zhou M, Tian W, Wu Y, Chen X, Wang S (2019) In situ fast analysis of cadmium in rice by diluted acid extraction-anodic stripping voltammetry. RSC Adv 9:19965–19972. https://doi.org/10.1039/C9RA03073E

Zhao L, Huang Y, Hu J, Zhou H, Adeleye AS, Keller AA (2016) 1H NMR and GC-MS based metabolomics reveal defense and detoxification mechanism of cucumber plant under nano-Cu stress. Environ Sci Technol 50:2000–2010. https://doi.org/10.1021/acs.est.5b05011

Zhu XF, Zheng C, Hu YT, Jiang T, Liu Y, Dong NY, Yang JL, Zheng SJ (2011) Cadmium-induced oxalate secretion from root apex is associated with cadmium exclusion and resistance in Lycopersicon esculentum. Plant Cell Environ 34:1055–1064. https://doi.org/10.1111/j.1365-3040.2011.02304.x

**Publisher's Note** Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.