# Whole-Genome Duplication and Purifying Selection Contributes to the Functional Redundancy of Auxin Response Factor (ARF) Genes in Foxtail Millet (Setaria italica L.)

Authors: You Chen; Bin Liu; Yujun Zhao; Wenzhe Yu; Weina Si
Journal: International Journal of Genomics
 (2021)

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## Abstract

Auxin response factors (ARFs) play crucial roles in auxin-mediated response, whereas molecular genetics ofARF genes was seldom investigated in Setaria italica, an important crop and C4 model plant. In the present study, genome-wide evolutionary analysis of ARFs was performed in S. italica. Twenty-four SiARF genes were identified and unevenly distributed on eight of the nine chromosomes in S. italica. Duplication mode exploration implied that 13 SiARF proteins were originated from whole-genome duplication and suffered purifying selection. Phylogeny reconstruction of SiARFs by maximum likelihood and neighbor-joining trees revealed SiARFs could be divided into four clades. SiARFs clustered within the same clade shared similar gene structure and protein domain composition, implying functional redundancy. Moreover, amino acid composition of the middle regions was conserved in SiARFs belonged to the same clade. SiARFs were categorized into either activators or repressors according to the enrichment of specific amino acids. Intrinsic disorder was featured in the middle regions of ARF activators. Finally, expression profiles of SiARFs under hormone and abiotic stress treatment not only revealed their potential function in stress response but also indicate their functional redundancy. Overall, our results provide insights into evolutionary aspects of SiARFs and benefit for further functional characterization.


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## Body

## 1. Introduction

The phytohormone auxin plays remarkable roles in regulating diverse aspects of plant growth and development, through auxin-responsive signaling cascades and gene expressions [1]. Moreover, auxin/indole acetic acid (Aux/IAA) and auxin response factor (ARF) proteins are key factors to regulate the expression of auxin-response genes [2]. In the absence of auxin, Aux/IAA interacts with ARFs, inhibiting the transcriptional regulation of auxin-responsive genes. Accumulation of auxin could release and activate ARFs. Activity-elevated ARFs would further transcriptionally regulate the expression of auxin-related response genes, such as small auxin up RNA (SAUR) and Gretchen Hagen 3 (GH3), by combining the TGTCTC auxin response elements (AuxREs) in promoters [3].Typical ARF proteins are distinguished by an N-terminal DNA-binding domain (DBD), C-terminal Aux/IAA domains that are committed in homo- and heterointeraction, and a variable middle region (MR) [4]. The DBD generally consists of plant-specific B-type domain, which could bind specifically to AuxREs and the auxin_resp domain with unknown function [5]. The MR region determinates whether ARFs are transcriptional activators or repressors [6]. Considering its important roles in auxin regulation system in plant, ARFs have drawn dramatically attentions. Researchers have found that osarf12 mutant plants exhibited premature senescence of leaves and resection of floral organs [7]. Similarly, rice plants with OsARF12 silenced showed leaf curl, short stature, and reduced viability compared with wild type [8].Increasing researches have proposed thatARFs play roles not only in auxin perception and regulation, but also in the crosstalk of auxin with other phytohormones, such as abscisic acid (ABA), irreplaceable in plant responses to environmental stress [9]. Consistently, many reports suggested that ARFs were also in responsive to various abiotic stress, such as drought, salt, and cold [10–13]. AtARF2 in Arabidopsis thaliana was found to be responsive to low potassium stress by phosphorylation modification [14]. TasiRNA-ARF was reported to be involved in maintaining the normal morphogenesis of flowers under stress conditions by fine-tuning changes in the expression of floral development and auxin response-related genes in A. thaliana [15]. These results elucidate that ARF genes played important roles not only in regulating plant growth and development, but also in response to abiotic stress.Fast development of sequencing technology has provided unprecedented chances and data basis for evolutionary and functional investigation.ARFs have been identified and reported in several plants, like A. thaliana, Oryza sativa, and Zea mays [16–19]. However, relevant reports about ARFs were seldom found in Setaria italica, which is an ideal C4 model for genetics and molecular biology research [20]. In the present study, the family members of ARFs were explored in S. italica genome widely, followed by chromosomal location analysis. Furthermore, duplication modes involved in SiARF members and selection pressure underlying the origination of duplicated SiARF gene pairs were also investigated. In addition, phylogeny reconstruction of SiARFs was performed in two phylogenetic trees. Domain composition, amino acid composition of MR regions, gene structure, and tissue-specific expression patterns of SiARFs were carefully compared among members in different clades. Finally, hormone treatment, as well as abiotic stress including salinity and PEG, was applied to conduct expression profile analysis of SiARFs. Above all, our study serves as the first genome-wide evolutionary analysis of SiARF genes and underlies the basis of further analysis.


## 2. Materials and Methods

### 2.1. Identification ofARF Genes in S. italica Genome

By using the ARF HMM profile (ARF_resp, PF06507) [21], the ARF sequences of O. sativa and A. thaliana were used as a query to identify the homologous protein sequences in the foxtail millet protein database (http://www.phytozome.net/BlastP) [22]. The Pfam database (http://Pfam.sanger.ac.uk/) and SMART [23] were used to further confirm each predicted ARF gene.


### 2.2. Identifying Protein Characteristics and MappingSiARF Genes on Chromosome

The amino acid (AA) composition, molecular weight (kDa), and theoretical pI (PI) were analyzed by ExPASy (http://web.expasy.org/protparam/). 24 SiARF proteins were accurately distinguished between 8 chromosomes by the MapChart software [24].


### 2.3. Gene Duplication Modes and Collinearity Estimation

MCScanX package was employed to characterize collinearity withinS. italica genome and gene duplication modes SiARFs involved in [25]. MCScanX could implement whole-genome BlastP to identify collinear blocks, referred to collinearity relationship within or between species (E value was set up to 1e-10). Additionally, MCScanX was applied to trace the evolutionary history of ARF gene family expansion and classify tandem and segmental/WGD duplicated ARF genes according to their copy number and chromosomal distribution.


### 2.4. Estimation of Synonymous and Nonsynonymous Substitution Rates

SiARF sequences were searched by BlastP against protein sequence ofA. thaliana, Z. mays, and O. sativa (http://gramene.org/www.phytozome.net) to account the orthologous homology among S. italica and other gramineous plants. The multiple alignment of paralogous and orthologous gene pairs was carried out by Clustalx and submitted to PAL2NAL to calculate Ks and/or Ka value by the codeml program in PAML [26].


### 2.5. Sequence Alignment and Phylogenetic Analysis ofSiARFs

Multiple sequence alignment was performed using the full-length amino acids of ARFs fromS. italica, Z. mays, O. sativa, and A. thaliana by MAFFT [27]. TrimAl v1.2 was further employed to remove poorly aligned regions with the parameter of –automated1 [28]. Then, the trimmed alignments were submitted to PhyML to identify the best-fit amino acid substitution model. The best-fit amino acid substitution model was JTT+G (−lnL=21729.13) [29]. Subsequently, maximum likelihood (ML) phylogenetic tree was constructed in PhyML according to the estimated best-fit mode, and fast approximate likelihood-based measures of branch supports (Shimodaira-Hasegawa approximate likelihood ratio test, SH-aLRT) were applied for branch. To build the neighbor-joining (NJ) phylogenetic tree, the full-length amino acids of SiARFs were aligned by MAFFT and submitted to MEGA 7.0 [30]. The significance of each node bootstrap analysis was carried out using 1000 replicates [31].


### 2.6. Expression Profiling ofSiARF Genes Using Transcriptome Data

The European Nucleotide Archive provided all IlluminaS. italica RNA-HiSeq reads for four tissues, namely, spica, stem, leaf, and root [SRX128226 (spica), SRX128225 (stem), SRX128224 (leaf), and SRX128223 (root)] [32]. The RNA-seq data removed low quality reads that were screened by NGS toolkit as standard (http://59.163.192.90 : 8080/ngsqctoolkit/) [33]. The RPKM (reads per kilobase per million) method was used for normalizing the number of reads mapped. According to RPKM values, the heat map demonstrated the specific gene expression in different tissues.


### 2.7. Plant Materials, Growth Conditions, and Stress Treatments

Seeds ofS. italica were grown in an artificial climate chamber at 28±1°C day/23±1°C night temperature with 70±5% relative humidity and natural sunlight during 21 days (March to April, 2017). For drought stress treatment, seedlings were exposed to 20% polyethylene glycol (PEG 6000) or 100 mM ABA that was initiated on the 21th day of normal growth condition. The different samples were collected after 0, 1, 3, 6, 12, and 24 h treatments, respectively. The 20% PEG (dehydration), salinity, ABA, and indole-3-acetic acid (IAA) treatment were performed that counterfeit in previous studies [34–38]. The samples were frozen in liquid nitrogen and stored at -80°C until RNA isolation. The sample experiments were repeated three times to ensure stability and precision.


### 2.8. RNA Extraction and Expression Profiling Analysis

Total RNA was extracted by using the RNAPlus reagent (Takara, Japan) method, followed by standard manufacturer’s instructions [39]. The first cDNA strand was generated using the M-MuLV reverse transcriptase experimental kit (Takara Bio Inc., USA). All gene-specific primers were designed using the Primer Express 3.0 software (Applied Biosystems, USA) with default parameters. The product size ranges from 150 to 250 bp for each SiARF gene (Table S2). The PCR reaction condition was performed at 95°C for 10 min, followed by 40 cycles at 95°C for 15 s and 60°C for 1 min. The analysis of melting curve (60 to 95°C after 40 cycles) was done to reduce the experimental error in accordance with the principle of biological repetition [40]. Actin 2 (PF00022) was used as an internal control. The three replicates were carried out. The statistics was analyzed using the DPS software [41].


### 2.9. Intrinsic Disorder Prediction in the SiARF Proteins

Full-length SiARF amino acid sequences were submitted in DisProt by the PONDR-FIT algorithm [42]. Disordered values were presented as a heat map in R using the gplot package with heat map.2 function.


## 2.1. Identification ofARF Genes in S. italica Genome

By using the ARF HMM profile (ARF_resp, PF06507) [21], the ARF sequences of O. sativa and A. thaliana were used as a query to identify the homologous protein sequences in the foxtail millet protein database (http://www.phytozome.net/BlastP) [22]. The Pfam database (http://Pfam.sanger.ac.uk/) and SMART [23] were used to further confirm each predicted ARF gene.


## 2.2. Identifying Protein Characteristics and MappingSiARF Genes on Chromosome

The amino acid (AA) composition, molecular weight (kDa), and theoretical pI (PI) were analyzed by ExPASy (http://web.expasy.org/protparam/). 24 SiARF proteins were accurately distinguished between 8 chromosomes by the MapChart software [24].


## 2.3. Gene Duplication Modes and Collinearity Estimation

MCScanX package was employed to characterize collinearity withinS. italica genome and gene duplication modes SiARFs involved in [25]. MCScanX could implement whole-genome BlastP to identify collinear blocks, referred to collinearity relationship within or between species (E value was set up to 1e-10). Additionally, MCScanX was applied to trace the evolutionary history of ARF gene family expansion and classify tandem and segmental/WGD duplicated ARF genes according to their copy number and chromosomal distribution.


## 2.4. Estimation of Synonymous and Nonsynonymous Substitution Rates

SiARF sequences were searched by BlastP against protein sequence ofA. thaliana, Z. mays, and O. sativa (http://gramene.org/www.phytozome.net) to account the orthologous homology among S. italica and other gramineous plants. The multiple alignment of paralogous and orthologous gene pairs was carried out by Clustalx and submitted to PAL2NAL to calculate Ks and/or Ka value by the codeml program in PAML [26].


## 2.5. Sequence Alignment and Phylogenetic Analysis ofSiARFs

Multiple sequence alignment was performed using the full-length amino acids of ARFs fromS. italica, Z. mays, O. sativa, and A. thaliana by MAFFT [27]. TrimAl v1.2 was further employed to remove poorly aligned regions with the parameter of –automated1 [28]. Then, the trimmed alignments were submitted to PhyML to identify the best-fit amino acid substitution model. The best-fit amino acid substitution model was JTT+G (−lnL=21729.13) [29]. Subsequently, maximum likelihood (ML) phylogenetic tree was constructed in PhyML according to the estimated best-fit mode, and fast approximate likelihood-based measures of branch supports (Shimodaira-Hasegawa approximate likelihood ratio test, SH-aLRT) were applied for branch. To build the neighbor-joining (NJ) phylogenetic tree, the full-length amino acids of SiARFs were aligned by MAFFT and submitted to MEGA 7.0 [30]. The significance of each node bootstrap analysis was carried out using 1000 replicates [31].


## 2.6. Expression Profiling ofSiARF Genes Using Transcriptome Data

The European Nucleotide Archive provided all IlluminaS. italica RNA-HiSeq reads for four tissues, namely, spica, stem, leaf, and root [SRX128226 (spica), SRX128225 (stem), SRX128224 (leaf), and SRX128223 (root)] [32]. The RNA-seq data removed low quality reads that were screened by NGS toolkit as standard (http://59.163.192.90 : 8080/ngsqctoolkit/) [33]. The RPKM (reads per kilobase per million) method was used for normalizing the number of reads mapped. According to RPKM values, the heat map demonstrated the specific gene expression in different tissues.


## 2.7. Plant Materials, Growth Conditions, and Stress Treatments

Seeds ofS. italica were grown in an artificial climate chamber at 28±1°C day/23±1°C night temperature with 70±5% relative humidity and natural sunlight during 21 days (March to April, 2017). For drought stress treatment, seedlings were exposed to 20% polyethylene glycol (PEG 6000) or 100 mM ABA that was initiated on the 21th day of normal growth condition. The different samples were collected after 0, 1, 3, 6, 12, and 24 h treatments, respectively. The 20% PEG (dehydration), salinity, ABA, and indole-3-acetic acid (IAA) treatment were performed that counterfeit in previous studies [34–38]. The samples were frozen in liquid nitrogen and stored at -80°C until RNA isolation. The sample experiments were repeated three times to ensure stability and precision.


## 2.8. RNA Extraction and Expression Profiling Analysis

Total RNA was extracted by using the RNAPlus reagent (Takara, Japan) method, followed by standard manufacturer’s instructions [39]. The first cDNA strand was generated using the M-MuLV reverse transcriptase experimental kit (Takara Bio Inc., USA). All gene-specific primers were designed using the Primer Express 3.0 software (Applied Biosystems, USA) with default parameters. The product size ranges from 150 to 250 bp for each SiARF gene (Table S2). The PCR reaction condition was performed at 95°C for 10 min, followed by 40 cycles at 95°C for 15 s and 60°C for 1 min. The analysis of melting curve (60 to 95°C after 40 cycles) was done to reduce the experimental error in accordance with the principle of biological repetition [40]. Actin 2 (PF00022) was used as an internal control. The three replicates were carried out. The statistics was analyzed using the DPS software [41].


## 2.9. Intrinsic Disorder Prediction in the SiARF Proteins

Full-length SiARF amino acid sequences were submitted in DisProt by the PONDR-FIT algorithm [42]. Disordered values were presented as a heat map in R using the gplot package with heat map.2 function.


## 3. Results

### 3.1. Identification, Chromosomal Distribution, and Homology Model Analysis ofARF Family in S. italica

In the present study, the ARF HMM profile was used to screen the protein database ofS. italica by the BlastP program. Obtained proteins were further submitted to Pfam website and confirm the existence of ARF and B3 domain. As a result, a total of 24 ARF proteins were found (Table 1). These genes were found to be unevenly distributed on 8 chromosomes, except for chromosome 2 (Figure 1). Chromosome 3 contains seven SiARFs (29.1%), and chromosomes 1, 4, and 5 have four SiARFs, respectively. Two SiARFs were presented on chromosome 7, but only one SiARF was found on chromosomes 6, 8, and 9, respectively. Lastly, these ARF genes were named according to their chromosomal location from SiARF01 to SiARF24 (Table 1).Table 1
The characteristics of identifiedauxin response factor gene family in Setaria italica.
Gene nameaLocusChr locationAAbPIcMW (kDa)dSiARF1Seita.1G0772001 : 6988237…69944739075.4599.6988SiARF2Seita.1G0909001 : 8014277…802223211335.9125.4214SiARF3Seita.1G1955001 : 27687425…276934276735.7674.9183SiARF4Seita.1G2415001 : 31927733…319306056966.8674.5453SiARF5Seita.3G0033003 : 165345…1682185025.7554.4367SiARF6Seita.3G0200003 : 1162915…11711498356.392.7573SiARF7Seita.3G0281003 : 1711500…17182319375.79103.1312SiARF8Seita.3G1470003 : 10559752…105642505779.1464.2633SiARF9Seita.3G1793003 : 13481507…134873615798.3364.254SiARF10Seita.3G3215003 : 40156717…401630688416.2592.7379SiARF11Seita.3G3940003 : 49527955…495343088975.6698.8577SiARF12Seita.4G0401004 : 2680871…268769410546.09116.3922SiARF13Seita.4G2406004 : 36454278…3646293610846.12120.7337SiARF14Seita.4G2578004 : 37696236…377000516867.0574.697SiARF15Seita.4G2623004 : 38057919…380642639315.95102.7815SiARF16Seita.5G0043005 : 322788…3270366875.5976.8788SiARF17Seita.5G2652005 : 32737893…327423386676.4273.7489SiARF18Seita.5G3213005 : 37047017…370529166856.8474.7693SiARF19Seita.5G4381005 : 45465923…454715778096.0190.7756SiARF20Seita.6G2120006 : 32960180…3296762410996.13121.6518SiARF21Seita.7G1081007 : 20883066…208884766635.5973.4238SiARF22Seita.7G1696007 : 25114768…251179026778.0572.674SiARF23Seita.8G1357008 : 26264640…262708558116.690.0333SiARF24Seita.9G2198009 : 16301628…163060536846.7174.705aThe name of a gene named according to its order on the chromosome. bProtein sequence length. cIsoelectric point. dMolecular weight.Figure 1
Chromosomal distribution ofSiARFs.


### 3.2. Duplication and Divergence Rate of theSiARF Genes

Gene duplication, generally related to whole genome/segmental duplication (WGD/SD) and tandem duplication (TD), played important roles in gene family expansion and evolution. Employing blast and MCScanX programs, WGD and TD gene pairs were successfully characterized. Intriguingly, no TD events were found inSiARFs, and 13 SiARFs were involved in WGD events, including ten WGD gene pairs (Figure 2). To estimate whether selective pressure exits during the evolution and expansion of SiARFs, the ratio of nonsynonymous (Ka)/synonymous (Ks) substitution of these WGD pairs was calculated. Generally speaking, the value of Ka/Ks ratio implies selection pressure: Ka/Ks<1 indicates purifying selection, Ka/Ks=1 stands for neutral selection, while Ka/Ks>1 represents positive selection [43]. The maximum value of Ka/Ks was 0.4095, and the minimum value of Ka/Ks was 0.0092 with an average of 0.2129 in SiARFs (Table S1). In addition, to roughly deduce the origin of these WGD pairs, the distribution of Ks ratio of paralog in S. italica and the ortholog of S. italica with Z. mays and O. sativa was also compared. According our results, the frequency of Ks of paralogs in S. italica peaked between 0.8 and 0.9, whereas Ks frequency of ortholog genes between S. italica and Z. mays or O. sativa peaked between 0.6 and 0.8, 0.3, and 0.4, respectively. These results suggest that these WGD paralogs originated before the split of maize and S. italica or S. italica and O. sativa (Figure 3), and their origination time was closer to the split time of S. italica and O. sativa.Figure 2
Collinear analysis ofSiARF genes. Genome-wide collinear genes in Setaria italica were marked with grey lines. SiARF whole-genome duplication gene pairs were emphasized by red lines.Figure 3
Ks distribution of paralog pairs ofSiARFs. (a) Orthologous pairs between S. italica and Oryza sativa and between S. italica and Zea mays, respectively. The x-axis represents the Ks values of paralogous or orthologous gene pairs and was divided into different parts in unit of (a) 0.1 or (c) 0.2. (b) The y-axis means the frequency of Ks value relative to each unit. Si represents ARF paralogous in S. italica; Si-Os represents ARF orthologous between S. italica and O. sativa; Si represents ARF orthologous between S. italica and Z. mays.
(a)(b)(c)


### 3.3. Phylogenetic and Domain Analysis of SiARFs

To further investigate the evolutionary fate ofSiARF genes, we constructed an unrooted phylogenetic tree using protein sequences of ARFs from S. italica, and those from O. sativa, Z. mays, and A. thaliana were used as outgroups (Figure 4). Totally, 114 ARF members were applied, and a ML phylogenetic tree was successfully constructed. According to the topological structure and bootstrap values of the nodes, the phylogenetic tree could be divided into four clades, namely, clade I (37 members), clade II (33 members), clade III (15 members), and clade IV (29 members). Clade I harbored the most ARF members, while clade III had the least ARF members. Additionally, ARF proteins in S. italica were clustered evenly within the three clades, including 9 members in clade I (SiARF1, SiARF2, SiARF6, SiARF7, SiARF11, SiARF12, SiARF13, and SiARF15), 6 in clade II (SiARF3, SiARF10, SiARF16, SiARF19, SiARF21, and SiARF23), 4 SiARF proteins in clade III (SiARF8, SiARF9, SiARF17, and SiARF18), and 5 in clade IV (SiARF4, SiARF5, SiARF14, SiARF22, and SiARF24), respectively (Figure 4). Furthermore, no recent duplication events were detected within SiARF members, while several were organized in maize ARF proteins (Figure 4).Figure 4
The ML phylogenetic tree constructed by ARF proteins from four plant species. Prefixes in the protein names, including Si, Os, Zm, and At, were used as to denote the species they belong to and representS. italica, O. sativa, Z. mays, and Arabidopsis thaliana, respectively. The phylogenetic tree could be classified into four clades, and each clade was marked with different colors. Yellow, blue, green, and red represented clades I to IV, respectively. Protein domain composition of each ARF members was also exhibited. Red diamonds represented B3 domain. Orange squares represented auxin_resp domain, and yellow diamonds indicated Aux/IAA domain.We further examined the protein domain composition of ARFs in these four clades (Figure4). ARF members, which had closer evolutionary relationship and clustered within the same clade, exhibit conserved protein domain composition. Auxin_resp (PF06507), B3 (PF02362), and Aux/IAA domains are the most conserved domains in surveyed ARF proteins. Almost all the surveyed ARF proteins harbored the conserved auxin_resp (PF06507) and B3 (PF02362) domains. Two ARFs, AtARF23 and ZmARF21, only had the conserved domain auxin_resp, whereas distribution of Aux/IAA domain differed among genes in different clades. ARFs in clades I and II harbored one or two Aux/IAA domains, whereas almost all ARFs in clades III and IV harbored no Aux/IAA domain.To better confirm the accuracy of the phylogeny reconstruction, an NJ tree was built by only SiARF proteins (Figure5(a)). ARFs in the NJ tree showed the same topological relationships with the MJ tree. Our further analysis mainly focuses on SiARFs employing the NJ tree.Figure 5
(a) Phylogeny reconstruction and (b) amino acid composition of (c) middle regions and gene structure ofSiARFs.
(a)(b)(c)


### 3.4. Amino Acid Composition of MR Regions and Gene Structure ofSiARFs

The protein sequences of MRs between auxin_resp and Aux/IAA are reported to be high variable and associated with the transcriptional activity ofARF genes. We subsequently investigated the amino acid composition of MR regions in SiARFs (Figure 5(b)). As expected, SiARFs clustered within the same clades exhibited similar amino acid composition in MR regions. SiARFs in clade I are abundant in S, Q, and L, while SiARFs in clade II are abundant in S and P. In addition, S and G are enriched in the MR regions of SiARFs from clades III and IV.We further analyzed the gene structure ofSiARF genes (Figure 5(c)). As expected, the exon-intron structure varies among genes in different clades, while it is relative conserved among genes within in the same clades. Genes in clades I and II had more than 10 exons. Almost all genes in clade I harbored 14 exons, except for SiARF20 and SiARF7, both of which had 13 exons. Five genes, including SiARF21, SiARF3, SiARF19, and SiARF10 had 14 exons, while the other two genes, SiARF16 and SiARF23 have 12 exons. Finally, the five genes in clade IV had only three or two exons.


### 3.5. Tissue-Specific Expression Analysis ofSiARFs

Tissue-specific expression profiles ofSiARFs were estimated by RPKM values, generated from European Nucleotide Archive. The expression pattern of all SiARF genes was identified to simulate precise properties through the four tissues: root, stem, leaf, and spica. Results demonstrated the multifarious and dynamics expression profiles of all SiARFs in the four surveyed tissues (Figure 6). These 24 SiARF genes expressed in at least one tissue (PRKM>1). SiARF03, SiARF04, SiARF19, SiARF21, and SiARF23 expressed highly in all the four tissues (PRKM>5). Furthermore, genes in the same clades showed dynamics expression patterns. Genes in clade I had distinct expression levels, while almost all genes in clade II are universally and highly expressed in four surveyed tissues. Remarkably, SiARF23 exhibited high expression than other SiARFs in leaf. In addition, we also identified the expression between gene duplicated pairs. Six of the ten duplicate gene pairs (SiARF1/15, SiARF2/13, SiARF22/24, SiARF8/17, SiARF9/18, and SiARF17/18) resulted from WGD exhibited significant distinct expression profiles in the four surveyed tissues (two-way ANOVA test, p<0.05), while four duplicate gene pairs (SiARF3/21, SiARF4/22, SiARF4/24, and SiARF8/18) shared similar expression profiles (two-way ANOVA test, p>0.05), indicating functional redundancy.Figure 6
The heat map of the expression level ofSiARFs in leaf, root, stem, and spica. The color from blue (1) to red (7) represents an increase in the level of gene expression.


### 3.6. Expression Patterns ofSiARFs under Hormone and Abiotic Stress Treatments

It is generally known that the regulation pathway of auxin and the expression level ofARF genes have an important correlation. The induction treatment of exogenous auxin was beneficial to the expression of ARF family gene in plant. Previous experimental results reveal that SiARF members have complex biological effects on the secretion of auxin. In the present study, under the treatment of 1 μm IAA, the real-time quantitative PCR analysis showed that huge variations exist in all SiARF genes (Figure 7(a)). For example, in IAA treatment condition, the expression of almost half of all SiARF genes (SiARF03, SiARF05, SiARF07, SiARF08, SiARF09, SiARF11, SiARF14, SiARF17, SiARF18, SiARF20, SiARF20, and SiARF24) were subdued continually. Nevertheless, 8 ARF genes (SiARF04, SiARF06, SiARF10, SiARF12, SiARF19, SiARF21, SiARF22, and SiARF23) were upregulated by exogenous IAA treatment. The remaining ARF gene expression levels show irregular expression profiles.Figure 7
The relative expression of 24SiARFs analyzed using real-time quantitative PCR under (a) indole-3′-acetic acid (IAA) treatment and (b) abscisic acid (ABA) treatment after 0 h, 1 h, 3 h, 6 h, 12 h, and 24 h. All the experimental results were based on three biologic replicates. Error bars imply ±SD for three biological replicates. Different letters indicate significant differences (p<0.05).
(a)(b)To further investigate whether theSiARFs were involved in ABA signaling pathway, seedlings were used to be disposed ABA. The results showed that almost all SiARFs were constantly upregulated by ABA stimuli until at 12 h (Figure 7(b)), besides SiARF04 expressed highest at 1 h. In addition to this, the expression level of SiARF22 showed a downregulation tendency. Comparing the relative expression of the SiARF family in ABA stimuli, It is not hard to find that SiARF11 was evidenced to superlatively expressed (>70-fold) than others. In summary, SiARF genes had largely response effect on plant hormones in theory.To investigate the response mechanism ofSiARF transcription family members, the real-time quantitative PCR was used to analyze the potential functions of SiARFs during abiotic stress (salinity and dehydration). Firstly, during the different period (1 h, 3 h, 6 h, 12 h, and 24 h) duration of PEG treatment, the results were visualized by histogram. Interestingly, we found that all SiARF genes were upregulated at the bulk of time points (Figure 8(a)). The quantitative expression of all SiARFs found that SiARF01, SiARF02, and SiARF14 peaked at 1 h, and SiARF03, SiARF04, and SiARF15 were highest expressed after 6 h. The expression of SiARF22 and SiARF23 was increased until at 3 h, and SiARF07 and SiARF18 peaked at 24 h. In addition, the transcription level of SiARF05, SiARF06, SiARF08, SiARF09, SiARF10, SiARF11, SiARF12, SiARF13, SiARF16, SiARF17, SiARF19, SiARF20, SiARF21, and SiARF24 reached the expression peak at 12 h; subsequently, the expression levels were reduced. Contrarily, the relative expression of SiARF11 steadily increased more than 50-fold at 12 h.Figure 8
The relative expression of 24SiARFs analyzed using real-time quantitative PCR under (a) PEG stress treatment and (b) salinity stress treatment after 0 h, 1 h, 3 h, 6 h, 12 h, and 24 h. All the experimental results were based on three biologic replicates. Error bars imply ±SD for three biological replicates. Different letters indicate significant differences (p<0.05).
(a)(b)Salinity stress changes the permeability of plant cells to affect the growth and development of plants by osmotic stress and the ion toxicity. Hence, we also designed salinity treatment expression profiles to get insight into potential tolerance effects of foxtail milletARF genes. The results found that all SiARF genes have incurred variations in different treatment phases (Figure 8(b)). It was observed that all SiARF genes appear transcriptional level increased in different time points. Strikingly, only SiARF04 was accompanied by constant expression until 6 h reaches maximum value, and three genes (SiARF21, SiARF22, and SiARF24) showed highest expression at 3 h. However, all of other genes (SiARF01, SiARF02, SiARF03, SiARF04, SiARF05, SiARF06, SiARF07, SiARF08, SiARF09, SiARF10, SiARF11, SiARF12, SiARF13, SiARF14, SiARF15, SiARF16, SiARF17, SiARF18, SiARF19, SiARF20, and SiARF23) were measured that all were accidentally upregulated in treatment time and peaked at 12 h. Noteworthy, five genes (SiARF05, SiARF11, SiARF17, SiARF22, and SiARF24) appeared the idiocratic higher expression at the time point than other treatment duration. The SiARF22 was even upregulated more than 70-fold at 3 h. Data results indicate that SiARFs play an important role in regulating the dehydration stress and salinity stress.


## 3.1. Identification, Chromosomal Distribution, and Homology Model Analysis ofARF Family in S. italica

In the present study, the ARF HMM profile was used to screen the protein database ofS. italica by the BlastP program. Obtained proteins were further submitted to Pfam website and confirm the existence of ARF and B3 domain. As a result, a total of 24 ARF proteins were found (Table 1). These genes were found to be unevenly distributed on 8 chromosomes, except for chromosome 2 (Figure 1). Chromosome 3 contains seven SiARFs (29.1%), and chromosomes 1, 4, and 5 have four SiARFs, respectively. Two SiARFs were presented on chromosome 7, but only one SiARF was found on chromosomes 6, 8, and 9, respectively. Lastly, these ARF genes were named according to their chromosomal location from SiARF01 to SiARF24 (Table 1).Table 1
The characteristics of identifiedauxin response factor gene family in Setaria italica.
Gene nameaLocusChr locationAAbPIcMW (kDa)dSiARF1Seita.1G0772001 : 6988237…69944739075.4599.6988SiARF2Seita.1G0909001 : 8014277…802223211335.9125.4214SiARF3Seita.1G1955001 : 27687425…276934276735.7674.9183SiARF4Seita.1G2415001 : 31927733…319306056966.8674.5453SiARF5Seita.3G0033003 : 165345…1682185025.7554.4367SiARF6Seita.3G0200003 : 1162915…11711498356.392.7573SiARF7Seita.3G0281003 : 1711500…17182319375.79103.1312SiARF8Seita.3G1470003 : 10559752…105642505779.1464.2633SiARF9Seita.3G1793003 : 13481507…134873615798.3364.254SiARF10Seita.3G3215003 : 40156717…401630688416.2592.7379SiARF11Seita.3G3940003 : 49527955…495343088975.6698.8577SiARF12Seita.4G0401004 : 2680871…268769410546.09116.3922SiARF13Seita.4G2406004 : 36454278…3646293610846.12120.7337SiARF14Seita.4G2578004 : 37696236…377000516867.0574.697SiARF15Seita.4G2623004 : 38057919…380642639315.95102.7815SiARF16Seita.5G0043005 : 322788…3270366875.5976.8788SiARF17Seita.5G2652005 : 32737893…327423386676.4273.7489SiARF18Seita.5G3213005 : 37047017…370529166856.8474.7693SiARF19Seita.5G4381005 : 45465923…454715778096.0190.7756SiARF20Seita.6G2120006 : 32960180…3296762410996.13121.6518SiARF21Seita.7G1081007 : 20883066…208884766635.5973.4238SiARF22Seita.7G1696007 : 25114768…251179026778.0572.674SiARF23Seita.8G1357008 : 26264640…262708558116.690.0333SiARF24Seita.9G2198009 : 16301628…163060536846.7174.705aThe name of a gene named according to its order on the chromosome. bProtein sequence length. cIsoelectric point. dMolecular weight.Figure 1
Chromosomal distribution ofSiARFs.


## 3.2. Duplication and Divergence Rate of theSiARF Genes

Gene duplication, generally related to whole genome/segmental duplication (WGD/SD) and tandem duplication (TD), played important roles in gene family expansion and evolution. Employing blast and MCScanX programs, WGD and TD gene pairs were successfully characterized. Intriguingly, no TD events were found inSiARFs, and 13 SiARFs were involved in WGD events, including ten WGD gene pairs (Figure 2). To estimate whether selective pressure exits during the evolution and expansion of SiARFs, the ratio of nonsynonymous (Ka)/synonymous (Ks) substitution of these WGD pairs was calculated. Generally speaking, the value of Ka/Ks ratio implies selection pressure: Ka/Ks<1 indicates purifying selection, Ka/Ks=1 stands for neutral selection, while Ka/Ks>1 represents positive selection [43]. The maximum value of Ka/Ks was 0.4095, and the minimum value of Ka/Ks was 0.0092 with an average of 0.2129 in SiARFs (Table S1). In addition, to roughly deduce the origin of these WGD pairs, the distribution of Ks ratio of paralog in S. italica and the ortholog of S. italica with Z. mays and O. sativa was also compared. According our results, the frequency of Ks of paralogs in S. italica peaked between 0.8 and 0.9, whereas Ks frequency of ortholog genes between S. italica and Z. mays or O. sativa peaked between 0.6 and 0.8, 0.3, and 0.4, respectively. These results suggest that these WGD paralogs originated before the split of maize and S. italica or S. italica and O. sativa (Figure 3), and their origination time was closer to the split time of S. italica and O. sativa.Figure 2
Collinear analysis ofSiARF genes. Genome-wide collinear genes in Setaria italica were marked with grey lines. SiARF whole-genome duplication gene pairs were emphasized by red lines.Figure 3
Ks distribution of paralog pairs ofSiARFs. (a) Orthologous pairs between S. italica and Oryza sativa and between S. italica and Zea mays, respectively. The x-axis represents the Ks values of paralogous or orthologous gene pairs and was divided into different parts in unit of (a) 0.1 or (c) 0.2. (b) The y-axis means the frequency of Ks value relative to each unit. Si represents ARF paralogous in S. italica; Si-Os represents ARF orthologous between S. italica and O. sativa; Si represents ARF orthologous between S. italica and Z. mays.
(a)(b)(c)


## 3.3. Phylogenetic and Domain Analysis of SiARFs

To further investigate the evolutionary fate ofSiARF genes, we constructed an unrooted phylogenetic tree using protein sequences of ARFs from S. italica, and those from O. sativa, Z. mays, and A. thaliana were used as outgroups (Figure 4). Totally, 114 ARF members were applied, and a ML phylogenetic tree was successfully constructed. According to the topological structure and bootstrap values of the nodes, the phylogenetic tree could be divided into four clades, namely, clade I (37 members), clade II (33 members), clade III (15 members), and clade IV (29 members). Clade I harbored the most ARF members, while clade III had the least ARF members. Additionally, ARF proteins in S. italica were clustered evenly within the three clades, including 9 members in clade I (SiARF1, SiARF2, SiARF6, SiARF7, SiARF11, SiARF12, SiARF13, and SiARF15), 6 in clade II (SiARF3, SiARF10, SiARF16, SiARF19, SiARF21, and SiARF23), 4 SiARF proteins in clade III (SiARF8, SiARF9, SiARF17, and SiARF18), and 5 in clade IV (SiARF4, SiARF5, SiARF14, SiARF22, and SiARF24), respectively (Figure 4). Furthermore, no recent duplication events were detected within SiARF members, while several were organized in maize ARF proteins (Figure 4).Figure 4
The ML phylogenetic tree constructed by ARF proteins from four plant species. Prefixes in the protein names, including Si, Os, Zm, and At, were used as to denote the species they belong to and representS. italica, O. sativa, Z. mays, and Arabidopsis thaliana, respectively. The phylogenetic tree could be classified into four clades, and each clade was marked with different colors. Yellow, blue, green, and red represented clades I to IV, respectively. Protein domain composition of each ARF members was also exhibited. Red diamonds represented B3 domain. Orange squares represented auxin_resp domain, and yellow diamonds indicated Aux/IAA domain.We further examined the protein domain composition of ARFs in these four clades (Figure4). ARF members, which had closer evolutionary relationship and clustered within the same clade, exhibit conserved protein domain composition. Auxin_resp (PF06507), B3 (PF02362), and Aux/IAA domains are the most conserved domains in surveyed ARF proteins. Almost all the surveyed ARF proteins harbored the conserved auxin_resp (PF06507) and B3 (PF02362) domains. Two ARFs, AtARF23 and ZmARF21, only had the conserved domain auxin_resp, whereas distribution of Aux/IAA domain differed among genes in different clades. ARFs in clades I and II harbored one or two Aux/IAA domains, whereas almost all ARFs in clades III and IV harbored no Aux/IAA domain.To better confirm the accuracy of the phylogeny reconstruction, an NJ tree was built by only SiARF proteins (Figure5(a)). ARFs in the NJ tree showed the same topological relationships with the MJ tree. Our further analysis mainly focuses on SiARFs employing the NJ tree.Figure 5
(a) Phylogeny reconstruction and (b) amino acid composition of (c) middle regions and gene structure ofSiARFs.
(a)(b)(c)


## 3.4. Amino Acid Composition of MR Regions and Gene Structure ofSiARFs

The protein sequences of MRs between auxin_resp and Aux/IAA are reported to be high variable and associated with the transcriptional activity ofARF genes. We subsequently investigated the amino acid composition of MR regions in SiARFs (Figure 5(b)). As expected, SiARFs clustered within the same clades exhibited similar amino acid composition in MR regions. SiARFs in clade I are abundant in S, Q, and L, while SiARFs in clade II are abundant in S and P. In addition, S and G are enriched in the MR regions of SiARFs from clades III and IV.We further analyzed the gene structure ofSiARF genes (Figure 5(c)). As expected, the exon-intron structure varies among genes in different clades, while it is relative conserved among genes within in the same clades. Genes in clades I and II had more than 10 exons. Almost all genes in clade I harbored 14 exons, except for SiARF20 and SiARF7, both of which had 13 exons. Five genes, including SiARF21, SiARF3, SiARF19, and SiARF10 had 14 exons, while the other two genes, SiARF16 and SiARF23 have 12 exons. Finally, the five genes in clade IV had only three or two exons.


## 3.5. Tissue-Specific Expression Analysis ofSiARFs

Tissue-specific expression profiles ofSiARFs were estimated by RPKM values, generated from European Nucleotide Archive. The expression pattern of all SiARF genes was identified to simulate precise properties through the four tissues: root, stem, leaf, and spica. Results demonstrated the multifarious and dynamics expression profiles of all SiARFs in the four surveyed tissues (Figure 6). These 24 SiARF genes expressed in at least one tissue (PRKM>1). SiARF03, SiARF04, SiARF19, SiARF21, and SiARF23 expressed highly in all the four tissues (PRKM>5). Furthermore, genes in the same clades showed dynamics expression patterns. Genes in clade I had distinct expression levels, while almost all genes in clade II are universally and highly expressed in four surveyed tissues. Remarkably, SiARF23 exhibited high expression than other SiARFs in leaf. In addition, we also identified the expression between gene duplicated pairs. Six of the ten duplicate gene pairs (SiARF1/15, SiARF2/13, SiARF22/24, SiARF8/17, SiARF9/18, and SiARF17/18) resulted from WGD exhibited significant distinct expression profiles in the four surveyed tissues (two-way ANOVA test, p<0.05), while four duplicate gene pairs (SiARF3/21, SiARF4/22, SiARF4/24, and SiARF8/18) shared similar expression profiles (two-way ANOVA test, p>0.05), indicating functional redundancy.Figure 6
The heat map of the expression level ofSiARFs in leaf, root, stem, and spica. The color from blue (1) to red (7) represents an increase in the level of gene expression.


## 3.6. Expression Patterns ofSiARFs under Hormone and Abiotic Stress Treatments

It is generally known that the regulation pathway of auxin and the expression level ofARF genes have an important correlation. The induction treatment of exogenous auxin was beneficial to the expression of ARF family gene in plant. Previous experimental results reveal that SiARF members have complex biological effects on the secretion of auxin. In the present study, under the treatment of 1 μm IAA, the real-time quantitative PCR analysis showed that huge variations exist in all SiARF genes (Figure 7(a)). For example, in IAA treatment condition, the expression of almost half of all SiARF genes (SiARF03, SiARF05, SiARF07, SiARF08, SiARF09, SiARF11, SiARF14, SiARF17, SiARF18, SiARF20, SiARF20, and SiARF24) were subdued continually. Nevertheless, 8 ARF genes (SiARF04, SiARF06, SiARF10, SiARF12, SiARF19, SiARF21, SiARF22, and SiARF23) were upregulated by exogenous IAA treatment. The remaining ARF gene expression levels show irregular expression profiles.Figure 7
The relative expression of 24SiARFs analyzed using real-time quantitative PCR under (a) indole-3′-acetic acid (IAA) treatment and (b) abscisic acid (ABA) treatment after 0 h, 1 h, 3 h, 6 h, 12 h, and 24 h. All the experimental results were based on three biologic replicates. Error bars imply ±SD for three biological replicates. Different letters indicate significant differences (p<0.05).
(a)(b)To further investigate whether theSiARFs were involved in ABA signaling pathway, seedlings were used to be disposed ABA. The results showed that almost all SiARFs were constantly upregulated by ABA stimuli until at 12 h (Figure 7(b)), besides SiARF04 expressed highest at 1 h. In addition to this, the expression level of SiARF22 showed a downregulation tendency. Comparing the relative expression of the SiARF family in ABA stimuli, It is not hard to find that SiARF11 was evidenced to superlatively expressed (>70-fold) than others. In summary, SiARF genes had largely response effect on plant hormones in theory.To investigate the response mechanism ofSiARF transcription family members, the real-time quantitative PCR was used to analyze the potential functions of SiARFs during abiotic stress (salinity and dehydration). Firstly, during the different period (1 h, 3 h, 6 h, 12 h, and 24 h) duration of PEG treatment, the results were visualized by histogram. Interestingly, we found that all SiARF genes were upregulated at the bulk of time points (Figure 8(a)). The quantitative expression of all SiARFs found that SiARF01, SiARF02, and SiARF14 peaked at 1 h, and SiARF03, SiARF04, and SiARF15 were highest expressed after 6 h. The expression of SiARF22 and SiARF23 was increased until at 3 h, and SiARF07 and SiARF18 peaked at 24 h. In addition, the transcription level of SiARF05, SiARF06, SiARF08, SiARF09, SiARF10, SiARF11, SiARF12, SiARF13, SiARF16, SiARF17, SiARF19, SiARF20, SiARF21, and SiARF24 reached the expression peak at 12 h; subsequently, the expression levels were reduced. Contrarily, the relative expression of SiARF11 steadily increased more than 50-fold at 12 h.Figure 8
The relative expression of 24SiARFs analyzed using real-time quantitative PCR under (a) PEG stress treatment and (b) salinity stress treatment after 0 h, 1 h, 3 h, 6 h, 12 h, and 24 h. All the experimental results were based on three biologic replicates. Error bars imply ±SD for three biological replicates. Different letters indicate significant differences (p<0.05).
(a)(b)Salinity stress changes the permeability of plant cells to affect the growth and development of plants by osmotic stress and the ion toxicity. Hence, we also designed salinity treatment expression profiles to get insight into potential tolerance effects of foxtail milletARF genes. The results found that all SiARF genes have incurred variations in different treatment phases (Figure 8(b)). It was observed that all SiARF genes appear transcriptional level increased in different time points. Strikingly, only SiARF04 was accompanied by constant expression until 6 h reaches maximum value, and three genes (SiARF21, SiARF22, and SiARF24) showed highest expression at 3 h. However, all of other genes (SiARF01, SiARF02, SiARF03, SiARF04, SiARF05, SiARF06, SiARF07, SiARF08, SiARF09, SiARF10, SiARF11, SiARF12, SiARF13, SiARF14, SiARF15, SiARF16, SiARF17, SiARF18, SiARF19, SiARF20, and SiARF23) were measured that all were accidentally upregulated in treatment time and peaked at 12 h. Noteworthy, five genes (SiARF05, SiARF11, SiARF17, SiARF22, and SiARF24) appeared the idiocratic higher expression at the time point than other treatment duration. The SiARF22 was even upregulated more than 70-fold at 3 h. Data results indicate that SiARFs play an important role in regulating the dehydration stress and salinity stress.


## 4. Discussion

ARF genes are key factors in the auxin-induced signaling cascades and gene expression, regulating all aspects of plant metabolism progress and participating in plant stress response [14]. ARF families in plant species have multiple gene members, which, to a certain extent, could explain why simple auxin-to-ARF pathway could manipulate such many aspects of physiological metabolism [2]. A broad exploration to the evolutionary patterns and phylogenic relationship between ARFs could benefit for deciphering the functional specialization in ARFs. Hence, in this study, a genome-wide survey of ARF genes in S. italica was presented.InS. italica, twenty-four SiARF genes were identified, number of which was similar to that in A. thaliana (23) and O. sativa (25), but less than that in Z. mays (36) [16, 17, 19]. Gene duplication, mainly including WGD and TD, was generally believed to involve in gene expansion of plant multiple gene families. Moreover, genes generated by different duplication modes had different functional fates. WGD duplicates were supposed to contribute to functional redundancy, while TD duplicates could cope with rapidly changing environments and gain functional novelty [44]. In the present study, 13 out of 24 SiARFs were deduced to experience WGD events and 10 WGD gene pairs were identified (Figure 2). We also found evolutionary force underlying WGD gene pairs was purifying selection. Ka distribution implied the ancient origin of SiARF pairs, which were originated before the split of S. italica with O. sativa or with Z. mays. Considering broad impact of auxin-induced signaling cascades and the upstream roles of ARFs, these WGD pairs may contribute to the function redundancy or specification.Phylogenetic analysis ofSiARFs was also performed. Firstly, an ML tree was constructed, applying ARFs from other three genes as outgroups (Figure 4). In the ML tree, ARFs could apparently be classified into four clades. Moreover, genes within the same clades shared similar protein domain composition. We also constructed an NJ tree with only SiARFs (Figure 5). As expected, SiARFs in the NJ tree exhibited almost the same phylogenic relationship with those in the ML tree. The consistence between the NJ and ML trees confirmed the accuracy and repeatability of the phylogeny reconstruction. With restriction to SiARFs, proteins in clade II and clade I harbored integrated functional domain, including B3, Aux_resp, and Aux/IAA domains, while majority of the proteins in clade III and clade IV lacked Aux/IAA domain. Considering the homo- or heterointeraction of Aux/IAA domain, proteins in clades III and IV may function as monomers. In addition, the amino acid composition of MR regions was reported to determine whether an ARF protein is a transcriptional activator or repressor [3]. In previous advances, Q, S, and L are enriched in the MR regions of ARF activators. Other ARFs without Q-rich MR regions are almost probably transcriptional repressors. In our results, MR regions of SiARFs in clade I are enriched in Q, S, and L (Figure 5(b)). Furthermore, those OsARFs in clade I had been experimentally confirmed to be transcriptional activators and interact with OsAux/IAA proteins [6]. These outcomes strongly imply that SiARFs in clade I are transcriptional activators and could interact with SiAux/IAA. SiARFs in clades II to IV are most likely to be transcriptional repressors (Figure S2). Moreover, previous advances predicted the presence of intrinsic disorder (ID) in the MR of ARF activators [2]. ID was characterized by lack of 3D structure and enriched with charged and polar amino acid residues. Our results proved that intrinsic disorder was conserved character in the clade I SiARFs (Figure S2), consistent with those in previous research [2]. ID contributes to protein-protein interaction, conditional DNA binding, and posttranslational modifications, through specific and rapid conformational changes [45]. As majority research were concerned on the conserved B3, Aux_resp, and Aux/IAA domains, the discovery of ID could provide new aspect of auxin output control through ARF-related pathway.It is well known thatARFs play central in auxin-related pathway. Concentration of auxin could regulate the activity of ARFs [3]. In our results, SiARFs are responsive to exogenous IAA treatment, which may be owing to that exogenous IAA could influence the homeostasis of auxin (Figure 7(a)). Additionally, alteration of the concentration of auxin could also induce the ABA-related pathway [46]. Moreover, ABA is another important hormone and involves in response to diverse stress [47]. In previous researches, ARFs were believed to be promising candidates involving in environmental stress and hormone signaling. IbARF5 from sweet potato could significantly improve the tolerance to salt and drought in transgenic A. thaliana, associated with ABA biosynthesis [48]. ARF4 in poplar inhibited auxin signaling in lateral root (LR) formation under salt stress [49]. In the present study, we found that almost all SiARFs were upregulated in leaves by exogenous ABA. Subsequently with abiotic stress treatment (NaCl and PEG), majority of SiARFs were also found responsive, exhibiting either upregulated or downregulated expression tendency (Figures 7(b) and 8). These findings strongly imply that SiARFs are associated with abiotic stress, in an ABA-dependent pathway, showing the functional conversation or redundancy. Our results could provide some bases for further functional characterization, especially those related to stress and hormone signaling.


## 5. Conclusions

ARFs are key output control of auxin-related pathway. In the present study, evolutionary patterns of ARFs genes in S. italica were genome widely performed. 13 out of the 24 SiARF proteins were originated from whole-genome duplication, suffering purifying selection. Phylogeny reconstruction of SiARFs by ML and NJ trees revealed that SiARFs could be categorized into four clades. SiARFs clustered within the same clade shared similar gene structure and protein domain composition, implying functional redundancy. Moreover, amino acid composition of the middle regions (MR) was conserved in SiARFs belonged to the same clade. SiARFs in clade I are suggested to be transcriptional activators and may interact with SiIAA/Aux, while SiARFs in clades II to IV are most likely to be transcriptional repressors. Intrinsic disorder was featured in the MR regions of ARF activators. In addition, various SiARFs are induced or repressed under hormone and abiotic stress treatments, which revealed their potential function in stress response and functional redundancy. Overall, the present study provides a “mugshot” of SiARFs and provides a theoretical basis for further functional and molecular mechanism analysis.



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*Source: 2590665-2021-08-09.xml*