# WheatIS EWG annual meeting 2023

Michael Alaux

► To cite this version:

Michael Alaux. WheatIS EWG annual meeting 2023. PAG XXX - Plant and Animal Genome Conference, Jan 2023, San Diego, United States. hal-04536690

HAL Id: hal-04536690

https://hal.inrae.fr/hal-04536690

Submitted on 8 Apr 2024

HAL is a multi-disciplinary open access
archive for the deposit and dissemination of sci-
entific research documents, whether they are pub-
lished 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_1.png" /></figure>
# WheatIS EWG annual meeting 2023

Michael Alaux

► To cite this version:

Michael Alaux. WheatIS EWG annual meeting 2023. PAG XXX - Plant and Animal Genome Conference, Jan 2023, San Diego, United States. hal-04536690

HAL Id: hal-04536690

https://hal.inrae.fr/hal-04536690v1

Submitted on 8 Apr 2024

HAL is a multi-disciplinary open access
archive for the deposit and dissemination of sci-
entific research documents, whether they are pub-
lished 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_1.png" /></figure>
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WHEAT
INITIATIVE

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

wheatIS
WHEAT INFORMATION SYSTEM

# WheatIS EWG annual meeting

<figure><img src="image_4.png" /></figure>

<figure><img src="image_5.png" /></figure>

RÉPUBLIQUE
FRANÇAISE

Liberté
Égalité
Fraternité

<figure><img src="image_6.png" /></figure>

PLANT
BIOINFORMATICS
& FACILITY
<figure><img src="image_2.png" /></figure>

WHEAT
INITIATIVE

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

wheatIS
WHEAT INFORMATION SYSTEM

# WheatIS EWG annual meeting

<figure><img src="image_4.png" /></figure>

<figure><img src="image_5.png" /></figure>

RÉPUBLIQUE
FRANÇAISE

Liberté
Égalité
Fraternité

<figure><img src="image_6.png" /></figure>

PLANT
BIOINFORMATICS
& FACILITY
# Agenda

* WheatIS EWG news since covid (Michael Alaux, 10 min)

* WheatIS data discovery tool (Cyril Pommier & Michael Alaux, 40 min presentation + 20 min questions)

* What future for the WheatIS data repository? (Michael Alaux, 10 min)

* Database spotlight: GrainGenes (Taner Sen, 20 min presentation + 10 min questions)

* Discussion and budget request for 2023 (Michael Alaux, 10 min)
# Agenda

- [ ] WheatIS EWG news since covid (Michael Alaux, 10 min)

- [ ] WheatIS data discovery tool (Cyril Pommier & Michael Alaux, 40 min presentation + 20 min questions)

- [ ] What future for the WheatIS data repository ? (Michael Alaux, 10 min)

- [ ] Database spotlight: GrainGenes (Taner Sen, 20 min presentation + 10 min questions)

- [ ] Discussion and budget request for 2023 (Michael Alaux, 10 min)
News since covid

<figure><img src="image_7.png" /></figure>
News since covid

<figure><img src="image_7.png" /></figure>
# EWG chair and co-chairs

- Taner Sen rotates from chair to co-chair

- Thanks to Hadi Quesneville for his effort and achievements as former chair and co-chair

- Since 2022:

- Chair: Michael Alaux (INRAE-URGI)

- Co-chairs:

- Taner Sen (USDA-ARS)

- Mario Caccamo (NIAB)

- Dave Edwards (University of Western Australia)
# EWG chair and co-chairs

- Taner Sen rotates from chair to co-chair

- Thanks to Hadi Quesneville for his effort and achievements as former chair and co-chair

- Since 2022:

- Chair: Michael Alaux (INRAE-URGI)

- Co-chairs:

- Taner Sen (USDA-ARS)

- Mario Caccamo (NIAB)

- Dave Edwards (University of Western Australia)
# New EWG members

- Welcome to 2 Early Career Researchers:

- Sherry Sun (University of British Columbia)

- Saloni Sharma (National Agri-Food Biotechnology Institute, India)
New EWG members

☐ Welcome to 2 Early Career Researchers:

☐ Sherry Sun (University of British Columbia)

☐ Saloni Sharma (National Agri-Food Biotechnology Institute, India)
# New logo

## ☐ New logo designed by

Delphine Larenchet

Graphiste | Directrice artistique free lance

delphine@delphine-larenchet.fr

Port. +33 (0)6 67 32 17 67

www.delphine-larenchet.fr

## ☐ Added to the WheatIS website: http://www.wheatis.org/

<figure><img src="image_8.png" /></figure>
# New logo

## ☐ New logo designed by

Delphine Larenchet

Graphiste | Directrice artistique free lance

delphine@delphine-larenchet.fr

Port. +33 (0)6 67 32 17 67

www.delphine-larenchet.fr

## ☐ Added to the WheatIS website: http://www.wheatis.org/

<figure><img src="image_8.png" /></figure>
## ☐ New version of the WheatIS data discovery tool

### Dissemination

Two webinars presented the WheatIS DataDiscovery tool:

1. On 2020 February the 25th (with a replay available) under the umbrella of the WheatInitiative.

2. On 2020 October the 7th (with a replay available) for the AgBioData community.

### Data updates

2020-2021

Ensembl Plants

Ensembl Genomes Plants has been updated up to release 51.

GrainGenes

GrainGenes data has been updated with 3407 new QTL, and 58 genetic maps.

TheTriticeaeToolbox & Gramene (USDA)

T3 data as well as Gramene got updated with respective latest releases.

### New features

2022

Add BrAPI data sources

Resources and databases that offers a *Breeding API* end point are currently indexable in *FAIDARE*, the Elixir plant data lookup service. The WheatIS data discovery and FAIDARE codebase have been unified to ease the management of data sources, to bring Breeding API indexation to WheatIS and to ease development and maintenance.

Look and feel

Addition of the WheatIS logo and usage of the WheatIS theme colors.

2020-2021

Ontologies

Searching resources annotated with *Gene Ontology* terms is now offered through a dedicated facet. So far, only resources from Wheat literature are annotated, but we plan to extend this soon.

Search by synonyms

Search by taxon now uses synonyms from 2 data sources: NCBI and GpnlS. Any search term matching a known taxon name also searches its synonyms. Matching synonyms are highlighted in the results to inform the user of the process.
## ☐ New version of the WheatIS data discovery tool

### Dissemination

Two webinars presented the WheatIS DataDiscovery tool:

1. On 2020 February the 25th (with a replay available) under the umbrella of the WheatInitiative.

2. On 2020 October the 7th (with a replay available) for the AgBioData community.

### Data updates

2020-2021

Ensembl Plants

Ensembl Genomes Plants has been updated up to release 51.

GrainGenes

GrainGenes data has been updated with 3407 new QTL, and 58 genetic maps.

TheTriticeaeToolbox & Gramene (USDA)

T3 data as well as Gramene got updated with respective latest releases.

### New features

2022

Add BrAPI data sources

Resources and databases that offers a *Breeding API* end point are currently indexable in *FAIDARE*, the Elixir plant data lookup service. The WheatIS data discovery and FAIDARE codebase have been unified to ease the management of data sources, to bring Breeding API indexation to WheatIS and to ease development and maintenance.

Look and feel

Addition of the WheatIS logo and usage of the WheatIS theme colors.

2020-2021

Ontologies

Searching resources annotated with *Gene Ontology* terms is now offered through a dedicated facet. So far, only resources from Wheat literature are annotated, but we plan to extend this soon.

Search by synonyms

Search by taxon now uses synonyms from 2 data sources: NCBI and GpnlS. Any search term matching a known taxon name also searches its synonyms. Matching synonyms are highlighted in the results to inform the user of the process.
# Usage metrics

## ☐ Number of WheatIS data discovery searches

<table><thead><tr><th>2018</th><th>2019</th><th>2020</th><th>2021</th><th>2022</th></tr></thead><tbody><tr><td>3790</td><td>4639</td><td>7421</td><td>7814</td><td>8477</td></tr></tbody></table>

<table><thead><tr><th>Countries</th><th></th><th>Unique visitors</th></tr></thead><tbody><tr><td>China</td><td>cn</td><td>(23.0%)</td></tr><tr><td>United States</td><td>us</td><td>(14.6%)</td></tr><tr><td>Japan</td><td>jp</td><td>(12.8%)</td></tr><tr><td>Australia</td><td>au</td><td>(6.6%)</td></tr><tr><td>India</td><td>in</td><td>(4.8%)</td></tr><tr><td>Republic of Serbia</td><td>rs</td><td>(4.5%)</td></tr><tr><td>France</td><td>fr</td><td>(4.3%)</td></tr><tr><td>Germany</td><td>de</td><td>(4.0%)</td></tr><tr><td>Spain</td><td>es</td><td>(2.7%)</td></tr><tr><td>Canada</td><td>ca</td><td>(2.9%)</td></tr><tr><td>Morocco</td><td>ma</td><td>(2.4%)</td></tr><tr><td>Russian Federation</td><td>ru</td><td>(1.9%)</td></tr><tr><td>Great Britain</td><td>gb</td><td>(1.4%)</td></tr><tr><td>Indonesia</td><td>id</td><td>(1.3%)</td></tr><tr><td>Croatia</td><td>hr</td><td>(1.2%)</td></tr><tr><td>Argentina</td><td>ar</td><td>(1.0%)</td></tr><tr><td>Sweden</td><td>se</td><td>(1.0%)</td></tr><tr><td>Pakistan</td><td>pk</td><td>(0.9%)</td></tr></tbody></table>

<figure><img src="image_9.png" /></figure>

<figure><img src="image_10.png" /></figure>

<figure><img src="image_11.png" /></figure>

<figure><img src="image_12.png" /></figure>

<figure><img src="image_13.png" /></figure>

<figure><img src="image_14.png" /></figure>

<figure><img src="image_15.png" /></figure>

<figure><img src="image_16.png" /></figure>

<figure><img src="image_17.png" /></figure>

<figure><img src="image_18.png" /></figure>

<figure><img src="image_19.png" /></figure>

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<figure><img src="image_21.png" /></figure>

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<figure><img src="image_24.png" /></figure>

<figure><img src="image_25.png" /></figure>

<figure><img src="image_26.png" /></figure>
# Usage metrics

## ☐ Number of WheatIS data discovery searches

<table><thead><tr><th>2018</th><th>2019</th><th>2020</th><th>2021</th><th>2022</th></tr></thead><tbody><tr><td>3790</td><td>4639</td><td>7421</td><td>7814</td><td>8477</td></tr></tbody></table>

<table><thead><tr><th>Countries</th><th></th><th>Unique visitors</th></tr></thead><tbody><tr><td>China</td><td>cn</td><td>(23.0%)</td></tr><tr><td>United States</td><td>us</td><td>(14.6%)</td></tr><tr><td>Japan</td><td>jp</td><td>(12.8%)</td></tr><tr><td>Australia</td><td>au</td><td>(6.6%)</td></tr><tr><td>India</td><td>in</td><td>(4.8%)</td></tr><tr><td>Republic of Serbia</td><td>rs</td><td>(4.5%)</td></tr><tr><td>France</td><td>fr</td><td>(4.3%)</td></tr><tr><td>Germany</td><td>de</td><td>(4.0%)</td></tr><tr><td>Spain</td><td>es</td><td>(2.7%)</td></tr><tr><td>Canada</td><td>ca</td><td>(2.9%)</td></tr><tr><td>Morocco</td><td>ma</td><td>(2.4%)</td></tr><tr><td>Russian Federation</td><td>ru</td><td>(1.9%)</td></tr><tr><td>Great Britain</td><td>gb</td><td>(1.4%)</td></tr><tr><td>Indonesia</td><td>id</td><td>(1.3%)</td></tr><tr><td>Croatia</td><td>hr</td><td>(1.2%)</td></tr><tr><td>Argentina</td><td>ar</td><td>(1.0%)</td></tr><tr><td>Sweden</td><td>se</td><td>(1.0%)</td></tr><tr><td>Pakistan</td><td>pk</td><td>(0.9%)</td></tr></tbody></table>

<figure><img src="image_9.png" /></figure>

<figure><img src="image_10.png" /></figure>

<figure><img src="image_11.png" /></figure>

<figure><img src="image_12.png" /></figure>

<figure><img src="image_13.png" /></figure>

<figure><img src="image_14.png" /></figure>

<figure><img src="image_15.png" /></figure>

<figure><img src="image_16.png" /></figure>

<figure><img src="image_17.png" /></figure>

<figure><img src="image_18.png" /></figure>

<figure><img src="image_19.png" /></figure>

<figure><img src="image_20.png" /></figure>

<figure><img src="image_21.png" /></figure>

<figure><img src="image_22.png" /></figure>

<figure><img src="image_23.png" /></figure>

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<figure><img src="image_26.png" /></figure>
# News from the Wheat Initiative

- Jamboree in Carlow 2022

- SRA publication 2022

<figure><img src="image_27.png" /></figure>

Open Access

Feature Paper

Review

## Meeting the Challenges Facing Wheat Production: The Strategic Research Agenda of the Global Wheat Initiative

by ⬒ Peter Langridge 1,2,* ⬒, ⚙ Michael Alaux 3, ⚙ Nuno Felipe Almeida 4 ⬒, ⚙ Karim Ammar 5,

© Michael Baum 6, ⚙ Faouzi Bekkaoui 7, ⚙ Alison R. Bentley 5 ⬒, ⚙ Brian L. Beres 8 ⬒,

✉ Bettina Berger 9 ⬒, ⚙ Hans-Joachim Braun 5, ⚙ Gina Brown-Guedira 10 ⬒,

© Christopher James Burt 11, ⚙ Mario Jose Caccamo 12 ⬒, ⚙ Luigi Cattivelli 13 ⬒, ⚙ Gilles Charmet 14,

© Peter Civán 14, ⚙ Sylvie Cloutier 15 ⬒, ⚙ Jean-Pierre Cohan 16, ⚙ Pierre J. Devaux 17 ⬒,

© Fiona M. Doohan 18, + Show full author list

https://doi.org/10.3390/agronomy12112767

Agronomy 2022, 12(11), 2767; https://doi.org/10.3390/agronomy12112767

Received: 26 September 2022 / Revised: 28 October 2022 / Accepted: 29 October 2022 /

Published: 7 November 2022

<footnote n="1">¹ School of Agriculture, Food and Wine, Waite Campus, University of Adelaide, PMB1, Glen Osmond, SA 5064, Australia</footnote>

<footnote n="2">² Wheat Initiative, JKI (Julius Kühn Institute), Federal Research Centre for Cultivated Plants, 14195 Berlin, Germany</footnote>

<footnote n="3">³ INRAE, URGI, Université Paris-Saclay, 78026 Versailles, France</footnote>

<footnote n="4">⁴ ASUR Plant Breeding, 60190 Estrées-Saint-Denis, France</footnote>

<footnote n="5">⁵ CIMMYT (International Maize and Wheat Improvement Center), Texcoco 56237, Mexico</footnote>

<footnote n="6">⁶ ICARDA (International Center for Agricultural Research in the Dry Areas), Rabat 10106, Morocco</footnote>

<footnote n="7">⁷ INRA (National Institute for Agricultural Research), Rabat 10090, Morocco</footnote>

<footnote n="8">⁸ AAFC (Agriculture & Agri-Food Canada), Lethbridge Research and Development Centre, Lethbridge, AB T1J 4B1, Canada</footnote>

<footnote n="9">⁹ Australian Plant Phenomics Facility, School of Agriculture, Food and Wine, University of Adelaide, Urrbrae, SA 5064, Australia</footnote>

<footnote n="10">¹⁰USDA-ARS (United States Department of Agriculture—Agricultural Research Service), Plant Science Research, Raleigh, NC 27695, USA
+ Show full affiliation list</footnote>

<footnote>* Author to whom correspondence should be addressed.</footnote>
# News from the Wheat Initiative

- Jamboree in Carlow 2022

- SRA publication 2022

<figure><img src="image_27.png" /></figure>

Open Access Feature Paper Review

## Meeting the Challenges Facing Wheat Production: The Strategic Research Agenda of the Global Wheat Initiative

by

Peter Langridge 1,2,*

<figure><img src="image_28.png" /></figure>

Michael Alaux 3,

Nuno Felipe Almeida 4

<figure><img src="image_29.png" /></figure>

Karim Ammar 5,

Michael Baum 6,

Faouzi Bekkaoui 7,

Alison R. Bentley 5

<figure><img src="image_30.png" /></figure>

Brian L. Beres 8

<figure><img src="image_31.png" /></figure>

Bettina Berger 9

<figure><img src="image_32.png" /></figure>

Hans-Joachim Braun 5,

<figure><img src="image_33.png" /></figure>

Gina

Brown-Guedira 10

Christopher James Burt 11,

Mario Jose Caccamo 12

Luigi Cattivelli 13

<figure><img src="image_34.png" /></figure>

Gilles Charmet 14,

Peter Civán 14,

Sylvie Cloutier 15

<figure><img src="image_35.png" /></figure>

Jean-Pierre Cohan 16,

<figure><img src="image_36.png" /></figure>

Fiona M. Doohan 18, + Show full author list

https://doi.org/10.3390/agronomy12112767

Agronomy 2022, 12(11), 2767; https://doi.org/10.3390/agronomy12112767

Received: 26 September 2022 / Revised: 28 October 2022 / Accepted: 29 October 2022 /

Published: 7 November 2022

<footnote n="1">¹ School of Agriculture, Food and Wine, Waite Campus, University of Adelaide, PMB1, Glen Osmond, SA 5064, Australia</footnote>

<footnote n="2">² Wheat Initiative, JKI (Julius Kühn Institute), Federal Research Centre for Cultivated Plants, 14195 Berlin, Germany</footnote>

<footnote n="3">³ INRAE, URGI, Université Paris-Saclay, 78026 Versailles, France</footnote>

<footnote n="4">⁴ ASUR Plant Breeding, 60190 Estrées-Saint-Denis, France</footnote>

<footnote n="5">⁵ CIMMYT (International Maize and Wheat Improvement Center), Texcoco 56237, Mexico</footnote>

<footnote n="6">⁶ ICARDA (International Center for Agricultural Research in the Dry Areas), Rabat 10106, Morocco</footnote>

<footnote n="7">⁷ INRA (National Institute for Agricultural Research), Rabat 10090, Morocco</footnote>

<footnote n="8">⁸ AAFC (Agriculture & Agri-Food Canada), Lethbridge Research and Development Centre, Lethbridge, AB T1J 4B1, Canada</footnote>

<footnote n="9">⁹ Australian Plant Phenomics Facility, School of Agriculture, Food and Wine, University of Adelaide, Urrbrae, SA 5064, Australia</footnote>

<footnote n="10">¹⁰USDA-ARS (United States Department of Agriculture—Agricultural Research Service), Plant Science Research, Raleigh, NC 27695, USA</footnote>

<footnote>+ Show full affiliation list</footnote>

<footnote>* Author to whom correspondence should be addressed.</footnote>
# WheatIS data discovery tool
# WheatIS data discovery tool
Presentation by Cyril Pommier

Short demo

Questions
Presentation by Cyril Pommier

Short demo

Questions
## Data providers

### INRAE-URGI

IWGSC@GnpIS [19,195,264]

GnpIS [631,498]

brapi@INRAE-URGI [15,949]

OpenMinTeD@GnpIS [1,692]

WheatIS File Repository [6]

### EBI

Ensembl Plants [3,071,189]

### IPK

CR-EST [199,220]

GEBIS [51,820]

MetaCrop [355]

### Gramene

Gramene [229,851]

### T3

The Triticeae Toolbox [206,406]

UniProt by T3 [16,607]

### UWA

Wheat Pangenome [167,167]

### Rothamsted Research

KnetMiner [108,474]

### GrainGenes

GrainGenes [20,190]

Komugi wheat gene catalog by

GrainGenes [3,119]

### PGSB

CrowsNest [13,324]

### CIMMYT

CIMMYT Publications [1,600]

CIMMYT Datasets [183]

### EVA

brapi@EVA [710]

### TERRA-REF

brapi@TERRA-REF [284]

### IPGPAS

PlantPhenoDB [6]

Wheat

DataDiscovery

About

Join us

Terms of use

Help

News/Perspectives

<figure><img src="image_28.png" /></figure>

cfd

cfd

cfd-1

cfd014

cfd046

cfd066

cfd069

cfd1

cfd1-2

cfd10

cfd101

Search
## Data providers

### INRAE-URGI

IWGSC@GnpIS [19,195,264]

GnpIS [631,498]

brapi@INRAE-URGI [15,949]

OpenMinTeD@GnpIS [1,692]

WheatIS File Repository [6]

### EBI

Ensembl Plants [3,071,189]

### IPK

CR-EST [199,220]

GEBIS [51,820]

MetaCrop [355]

### Gramene

Gramene [229,851]

### T3

The Triticeae Toolbox [206,406]

UniProt by T3 [16,607]

### UWA

Wheat Pangenome [167,167]

### Rothamsted Research

KnetMiner [108,474]

### GrainGenes

GrainGenes [20,190]

Komugi wheat gene catalog by

GrainGenes [3,119]

### PGSB

CrowsNest [13,324]

### CIMMYT

CIMMYT Publications [1,600]

CIMMYT Datasets [183]

### EVA

brapi@EVA [710]

### TERRA-REF

brapi@TERRA-REF [284]

### IPGPAS

PlantPhenoDB [6]

Wheat

DataDiscovery

About

Join us

Terms of use

Help

News/Perspectives

<figure><img src="image_37.png" /></figure>

cfd

Search

cfd

cfd-1

cfd014

cfd046

cfd066

cfd069

cfd1

cfd1-2

cfd10

cfd101
<figure><img src="image_29.png" /></figure>

Home

WheatIS website

Wheat@URGI

More... ▼

cfd2

Search

### Species

<figure><img src="image_30.png" /></figure>

Triticum [1]

Results 1 to 1 from 1

**10.1007/s00122-012-1838-2 - OpenMinTeD@GnpIS**

Bibliography

Triticum

Bibliography OpenMinTeD 10.1007/s00122-012-1838-2 Mapping QTL for <span class='openminded_phenotype'>resistance to eyespot of</span> <span class='openminded_taxon'>[...] 415</span>, and <span class='openminded marker'>cfd2</span> are tightly linked to Q.<span class='open marker'>...</span> (Expand)

### Data type

<figure><img src="image_31.png" /></figure>

Bibliography [1]

### Database

<figure><img src="image_32.png" /></figure>

IWGSC@GnpIS [4]

<figure><img src="image_33.png" /></figure>

OpenMinTeD@GnpIS [1]

### Data provider

<figure><img src="image_34.png" /></figure>

INRAE-URGI [1]

### Browse chr4A_7333656_7333940_CFD SSR TRIMMED - IWGSC@GnpIS

Gene annotation

Triticum aestivum

SEQUENCE FEATURE IWGSC@GnpISchr4A_7333656_7333940_CFD SSR_TRIMMED Start = 7333656, End = 7333940, Strand = 0, Source = ePCR, Seq_id = chr4A, Size = 283, Marker = CFD2, Id = CFD2, Type = similarity, Motif = ca(11) Triticum aestivum similarity chr4 ... (Expand)

**10.1007/s00122-012-1838-2 - OpenMinTeD@GnpIS**

Bibliography

Triticum

Bibliography OpenMinTeD 10.1007/s00122-012-1838-2 Mapping QTL for <span class='openminded_phenotype'>resistance to eyespot of</span> <span class='openminded_taxon'>[...] 415</span>, and <span class='openminded marker'>cfd2</span> are tightly linked to Q.<span class='open marker'>...</span> (Expand)

### Write section
(ADD/UPDATE)

<figure><img src="image_35.png" /></figure>
<figure><img src="image_38.png" /></figure>

cfd2

Search

### Species

<figure><img src="image_39.png" /></figure>

Triticum [1]

Results 1 to 1 from 1

10.1007/s00122-012-1838-2 - OpenMinTeD@GnpIS

Bibliography

Triticum

Bibliography OpenMinTeD 10.1007/s00122-012-1838-2 Mapping QTL for <span class='openminded_phenotype'>resistance to eyespot of <span class='openminded_taxon'>[...]</span></span>, and <span class='openminded marker'>cfd2</span> are tightly linked to Q.<span class='open marker'>...</span> are tightly linked to Q.<span class='open marker'>...</span> (Expand)

### Data type

<figure><img src="image_40.png" /></figure>

Bibliography [1]

WheatIS
(Annotator)

<figure><img src="image_41.png" /></figure>

### Database

<figure><img src="image_42.png" /></figure>

IWGSC@GnpIS [4]

<figure><img src="image_43.png" /></figure>

OpenMinTeD@GnpIS [1]

### Data provider

<figure><img src="image_44.png" /></figure>

INRAE-URGI [1]

browse chr4A_7333656_7333940_CFD SSR TRIMMED - IWGSC@GnpIS

Gene annotation

Triticum aestivum

SEQUENCE FEATURE IWGSC@GnpISchr4A_7333656_7333940_CFD SSR_TRIMMED Start = 7333656, End = 7333940, Strand = 0, Source = ePCR, Seq_id = chr4A, Size = 283, Marker = CFD2, Id = CFD2, Type = similarity, Motif = ca(11) Triticum aestivum similarity chr4 ... (Expand)

10.1007/s00122-012-1838-2 - OpenMinTeD@GnpIS

Bibliography

Triticum

Bibliography OpenMinTeD 10.1007/s00122-012-1838-2 Mapping QTL for <span class='openminded_phenotype'>resistance to eyespot of <span class='openminded_taxon'>[...]</span></span>, and <span class='openminded marker'>cfd2</span> are tightly linked to Q.<span class='open marker'>...</span> are tightly linked to Q.<span class='open marker'>...</span> (Expand)
<figure><img src="image_36.png" /></figure>

<figure><img src="image_37.png" /></figure>

<figure><img src="image_38.png" /></figure>

## Gene-based displays

<figure><img src="image_39.png" /></figure>

### Summary

- Splice variants

- Transcript comparison

- Gene alleles

<figure><img src="image_40.png" /></figure>

### Sequence

- Secondary Structure

- Gene families

- Literature

<figure><img src="image_41.png" /></figure>

### Plant Compara

- Genomic alignments

- Gene tree

- Gene gain/loss tree

- Orthologues

- Paralogues

- Homoeologues

<figure><img src="image_42.png" /></figure>

### Pan-taxonomic Compara

- Gene Tree

- Orthologues

<figure><img src="image_43.png" /></figure>

### Ontologies

- GO: Biological process

- GO: Cellular component

- GO: Molecular function

- Phenotypes

<figure><img src="image_44.png" /></figure>

### Genetic Variation

- Variant table

- Variant image

- Structural variants

- Gene expression

- Pathway

- Regulation

- External references

- Supporting evidence

<figure><img src="image_45.png" /></figure>

### ID History

- Gene history

<figure><img src="image_46.png" /></figure>

Configure this page

<figure><img src="image_47.png" /></figure>

Custom tracks

<figure><img src="image_48.png" /></figure>

Export data

<figure><img src="image_49.png" /></figure>

Share this page

<figure><img src="image_50.png" /></figure>

Bookmark this page

Ensembl Plants is produced in collaboration with Gramene

## Gene: TraesCS2A02G151900

### Description

Uncharacterized protein At3g57150 (Fragment) [Source:Projected from Arabidopsis thaliana (AT3G57150) UniProtKB/TrfEMBL;Acc:C0SVF3]

### Location

Chromosome 2A: 100.113.981-100.117.432 forward strand.

### About this gene

This gene has 1 transcript (splice variant) and 144 orthologues.

### Transcripts

Show transcript table

## Summary 🔍

### Gene type

Protein coding

### Annotation method

Genes annotated with high confidence by IWGSC

<figure><img src="image_51.png" /></figure>

Go to Region in Detail for more tracks and navigation options (e.g. zooming)

<figure><img src="image_52.png" /></figure>

Drag/Select: ↔

<figure><img src="image_53.png" /></figure>

<figure><img src="image_54.png" /></figure>

<figure><img src="image_55.png" /></figure>

<figure><img src="image_56.png" /></figure>

## Configuring the display

Tip: use the "Configure this page" link on the left to show additional data in this region.

Ensembl Plants release 48 - August 2020 © EMBL-EBI

### About Us

About us

Contact us

Citing Ensembl Genomes

### Get help

Using this website

Documentation

Adding custom tracks

### Our sister sites

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Ensembl Bacteria

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### Follow us

<figure><img src="image_57.png" /></figure>

Blog

<figure><img src="image_58.png" /></figure>

Twitter
<figure><img src="image_45.png" /></figure>

<figure><img src="image_46.png" /></figure>

<figure><img src="image_47.png" /></figure>

## Gene-based displays

<figure><img src="image_48.png" /></figure>

### Summary

- Splice variants

- Transcript comparison

- Gene alleles

<figure><img src="image_49.png" /></figure>

### Sequence

- Secondary Structure

- Gene families

- Literature

<figure><img src="image_50.png" /></figure>

### Plant Compara

- Genomic alignments

- Gene tree

- Gene gain/loss tree

- Orthologues

- Paralogues

- Homoeologues

<figure><img src="image_51.png" /></figure>

### Pan-taxonomic Compara

- Gene Tree

- Orthologues

<figure><img src="image_52.png" /></figure>

### Ontologies

- GO: Biological process

- GO: Cellular component

- GO: Molecular function

- Phenotypes

<figure><img src="image_53.png" /></figure>

### Genetic Variation

- Variant table

- Variant image

- Structural variants

- Gene expression

- Pathway

- Regulation

- External references

- Supporting evidence

<figure><img src="image_54.png" /></figure>

### ID History

- Gene history

<figure><img src="image_55.png" /></figure>

Configure this page

<figure><img src="image_56.png" /></figure>

Custom tracks

<figure><img src="image_57.png" /></figure>

Export data

<figure><img src="image_58.png" /></figure>

Share this page

<figure><img src="image_59.png" /></figure>

Bookmark this page

Ensembl Plants is produced in collaboration with Gramene

## Gene: TraesCS2A02G151900

### Description

Uncharacterized protein At3g57150 (Fragment) [Source:Projected from Arabidopsis thaliana (AT3G57150) UniProtKB/TrfEMBL;Acc:C0SVF3]

### Location

Chromosome 2A: 100.113.981-100.117.432 forward strand.

### About this gene

This gene has 1 transcript (splice variant) and 144 orthologues.

### Transcripts

Show transcript table

## Summary 🔍

### Gene type

Protein coding

### Annotation method

Genes annotated with high confidence by IWGSC

<figure><img src="image_60.png" /></figure>

Go to Region in Detail for more tracks and navigation options (e.g. zooming)

<figure><img src="image_61.png" /></figure>

Drag/Select: ↔

<figure><img src="image_62.png" /></figure>

<figure><img src="image_63.png" /></figure>

<figure><img src="image_64.png" /></figure>

## Configuring the display

Tip: use the "Configure this page" link on the left to show additional data in this region.

Ensembl Plants release 48 - August 2020 © EMBL-EBI

### About Us

About us

Contact us

Citing Ensembl Genomes

### Get help

Using this website

Documentation

Adding custom tracks

### Our sister sites

Ensembl

Ensembl Bacteria

Ensembl Fungi

### Follow us

<figure><img src="image_65.png" /></figure>

Blog

<figure><img src="image_66.png" /></figure>

Twitter
<figure><img src="image_59.png" /></figure>

<figure><img src="image_60.png" /></figure>

<figure><img src="image_61.png" /></figure>

<figure><img src="image_62.png" /></figure>

# Mapping QTL for resistance to eyespot of wheat in *Aegilops longissima*

Hongyan Sheng, Deven R. See & Timothy D. Murray

*Theoretical and Applied Genetics* **125**, 355–366(2012) | Cite this article

**402** Accesses

**14** Citations

## Abstract

Eyespot is an economically important disease of wheat caused by the soilborne fungi *Oculimacula yallundae* and *O. acuformis*. These pathogens infect and colonize the stem base, which results in lodging of diseased plants and reduced grain yield. Disease resistant cultivars are the most desirable control method, but resistance genes are limited in the wheat gene pool. Some accessions of the wheat wild relative *Aegilops longissima* are resistant to eyespot, but nothing is known about the genetic control of resistance. A recombinant inbred line population was developed from the cross PI 542196 (R) × PI 330486 (S) to map the resistance genes and better understand resistance in *Ae. longissima*. A genetic linkage map of the S¹ genome was constructed with 169 wheat microsatellite markers covering 1261.3 cM in 7 groups. F₅ lines (189) were tested for reaction to *O. yallundae* and four QTL were detected in chromosomes 1S¹, 3S¹, 5S¹, and 7S¹. These QTL explained 44 % of the total phenotypic variation in reaction to eyespot based on GUS scores and 63 % for visual disease ratings. These results demonstrate that genetic control of *O. yallundae* resistance in *Ae. longissima* is polygenic. This is the first report of multiple QTL conferring resistance to eyespot in *Ae. longissima*. Markers *cfd2*, *umc2007*, *umc12* and *cfd1* are tightly linked to *O. Phr.sus.-1S¹*.

CFD2 - IWGSC@GnplS

Genome annotation IWGSC@GnplS CFD2 CFD2 is a similarity:ePCR_cfd of Triticum aestivum located between positions 14028 and 14311 on 4AS_v2_5981297 and which properties are Size=283,Motif=gt(9),load_id=CFD2_147 Triticum aestivum similarity
<figure><img src="image_67.png" /></figure>

<figure><img src="image_68.png" /></figure>

<figure><img src="image_69.png" /></figure>

<figure><img src="image_70.png" /></figure>

# Mapping QTL for resistance to eyespot of wheat in *Aegilops longissima*

Hongyan Sheng, Deven R. See & Timothy D. Murray

*Theoretical and Applied Genetics* **125**, 355–366(2012) | Cite this article

**402** Accesses

**14** Citations

## Abstract

Eyespot is an economically important disease of wheat caused by the soilborne fungi *Oculimacula yallundae* and *O. acuformis*. These pathogens infect and colonize the stem base, which results in lodging of diseased plants and reduced grain yield. Disease resistant cultivars are the most desirable control method, but resistance genes are limited in the wheat gene pool. Some accessions of the wheat wild relative *Aegilops longissima* are resistant to eyespot, but nothing is known about the genetic control of resistance. A recombinant inbred line population was developed from the cross PI 542196 (R) × PI 330486 (S) to map the resistance genes and better understand resistance in *Ae. longissima*. A genetic linkage map of the S¹ genome was constructed with 169 wheat microsatellite markers covering 1261.3 cM in 7 groups. F₅ lines (189) were tested for reaction to *O. yallundae* and four QTL were detected in chromosomes 1S¹, 3S¹, 5S¹, and 7S¹. These QTL explained 44 % of the total phenotypic variation in reaction to eyespot based on GUS scores and 63 % for visual disease ratings. These results demonstrate that genetic control of *O. yallundae* resistance in *Ae. longissima* is polygenic. This is the first report of multiple QTL conferring resistance to eyespot in *Ae. longissima*. Markers *cfd2*, *umc207*, *umc12* and *cfd1* are tightly linked to *O. Phr.sus.-1S¹*.

CFD2 - IWGSC@GnplS

Genome annotation IWGSC@GnplS CFD2 CFD2 is a similarity:ePCR_cfd of Triticum aestivum located between positions 14028 and 14311 on 4AS_v2_5981297 and which properties are Size=283,Motif=gt(9),load_id=CFD2_147 Triticum aestivum similarity
TRIUR3_07354

Triticum urartu

Putative deoxyribonuclease TATDN1

Model Species Homolog

Zm00001d007881 Zea mays

TatD related DNase

<figure><img src="image_63.png" /></figure>

Special

☐ Hor

☐ vulg

☐ Trit

☐ Trit

☐ Bra

☐ dist

☐ Aeg

Data

☐ Inte

☐ Ger

☐ Go

☐ Inte

☐ Inte

☐ Go

☐ Inte

Data

☐ Gra

Data

☐ INR

☐ CIN

☑ Gra

☐ Rot

☐ Gra

☐ T3

☐ Sou

☐ IPK

☐ IPK

Location

Homology

X-refs

Compara Gene Tree

<figure><img src="image_64.png" /></figure>

Gramene

Search for genes, species, pathways, ontology terms, domains...

<figure><img src="image_65.png" /></figure>

1 genes in 1 genomes

Gene | TRIUR3_07354

<figure><img src="image_66.png" /></figure>

Search Gramene

Show All Homologs 91

Show Orthologs 89

<figure><img src="image_67.png" /></figure>

Links to other resources

Ensembl Gene Tree view

Release Notes (62)

About

Cite

Feedback

Privacy

Gramene is a collaborative effort among Cold Spring Harbor Laboratory, Oregon State University, and EMBL-EBI.

Funding is provided by the NSF and USDA ARS.

Application info

• Data Release 62

• Gramene Search UI LOCAL DEVELOPMENT BUILD

• Built on January 14th 2020 at 1:01:57 pm

Actions

Reset Gramene Search

<figure><img src="image_68.png" /></figure>
TRIUR3_07354 *Triticum urartu*

Putative deoxyribonuclease TATDN1

Model Species Homolog

Zm00001d007881 *Zea mays*

TatD related DNase

Special

☐ Hor

☐ vulg

☐ Trit

☐ Trit

☐ Bra

☐ dist

☐ Aeg

Data

☐ Inte

☐ Ger

☐ Go

☐ Inte

☐ Inte

☐ Go

☐ Inte

Data

☐ Gra

Data

☐ INR

☐ CIN

☑ Gra

☐ Rot

☐ Gra

☐ T3

☐ Sou

☐ IPK

☐ IPK

Location

Homology

X-refs

## Compara Gene Tree

<figure><img src="image_71.png" /></figure>

Gramene

Search for genes, species, pathways, ontology terms, domains...

<figure><img src="image_72.png" /></figure>

1 genes in 1 genomes

Gene | TRIUR3_07354 ✗

<figure><img src="image_73.png" /></figure>

Search Gramene

Show All Homologs 91

Show Orthologs 89

<figure><img src="image_74.png" /></figure>

Links to other resources

Ensembl Gene Tree view

Release Notes (62)

About

Cite

Feedback

Privacy

Gramene is a collaborative effort among Cold Spring Harbor Laboratory, Oregon State University, and EMBL-EBI.

Funding is provided by the NSF and USDA ARS.

## Application info

* Data Release 62

* Gramene Search UI LOCAL DEVELOPMENT BUILD

* Built on January 14th 2020 at 1:01:57 pm

## Actions

Reset Gramene Search
<figure><img src="image_69.png" /></figure>

# Quantitative trait loci for leaf chlorophyll fluorescence parameters, chlorophyll and carotenoid contents in relation to biomass and yield in bread wheat and their chromosome deletion bin assignments

I. Czyczyto-Mysza 🌐, M. Tyrka, I. Marcińska, E. Skrzypek, M. Karbarz, M. Dziurka, T. Hura, K. Dziurka & S. A. Quarrie

*Molecular Breeding* **32**, 189–210(2013) | Cite this article

3466 Accesses

39 Citations

Metrics

## Abstract

Relatively little is known of the genetic control of chlorophyll fluorescence (CF) and pigment traits important in determining efficiency of photosynthesis in wheat and its association with biomass productivity. A doubled haploid population of 94 lines from the wheat cross Chinese Spring × SQ1 was trialled under optimum glasshouse conditions for 4 years to identify quantitative trait loci (QTL) for CF traits including, for the first time in wheat, JIP-test parameters per excited cross section (CS<sub>m</sub>): ABS/CS<sub>m</sub>, DI<sub>0</sub>/CS<sub>m</sub>, TR<sub>0</sub>/CS<sub>m</sub>, RC/CS<sub>m</sub> and ET<sub>0</sub>/CS<sub>m</sub>, key parameters determining efficiency of the photosynthetic apparatus, as well as chlorophyll and carotenoid contents to establish associations with biomass and grain yield. The existing genetic map was extended to 920 loci by adding Diversity Arrays Technology markers. Markers and selected genes for photosynthetic light reactions, pigment metabolism and biomass accumulation were located to chromosome deletion bins. Across all CF traits and years, 116 QTL for CF were located on all chromosomes except 7B, and 39 QTL were identified for pigments on the majority of chromosomes, excluding 1A, 2A, 4A, 3B, 5B, 1D, 2D, 5D, 6D and 7D. Thirty QTL for plant productivity traits were mapped on chromosomes 3A, 5A, 6A, 7A, 1B, 2B, 4B, 6B, 7B, 3D and 4D. A region on chromosome 6B was identified where 14 QTL for CF parameters coincided with QTL for chlorophyll content and grain weight per ear. Thirty-five QTL regions were coincident with candidate genes. The environment was shown to dominate in determining expression of genes for those traits.

Download PDF

<figure><img src="image_70.png" /></figure>

Sections

Figures

References

Abstract

Introduction

Materials and methods

Results

Discussion

Conclusions

References

Acknowledgments

Author information

Electronic supplementary material

Rights and permissions

About this article
<figure><img src="image_75.png" /></figure>

# Quantitative trait loci for leaf chlorophyll fluorescence parameters, chlorophyll and carotenoid contents in relation to biomass and yield in bread wheat and their chromosome deletion bin assignments

I. Czyczyto-Mysza 🌐, M. Tyrka, I. Marcińska, E. Skrzypek, M. Karbarz, M. Dziurka, T. Hura, K. Dziurka & S. A. Quarrie

*Molecular Breeding* **32**, 189–210(2013) | Cite this article

**3466** Accesses

**39** Citations

**Metrics**

## Abstract

Relatively little is known of the genetic control of chlorophyll fluorescence (CF) and pigment traits important in determining efficiency of photosynthesis in wheat and its association with biomass productivity. A doubled haploid population of 94 lines from the wheat cross Chinese Spring × SQ1 was trialled under optimum glasshouse conditions for 4 years to identify quantitative trait loci (QTL) for CF traits including, for the first time in wheat, JIP-test parameters per excited cross section (CS<sub>m</sub>): ABS/CS<sub>m</sub>, Dl<sub>0</sub>/CS<sub>m</sub>, TR<sub>0</sub>/CS<sub>m</sub>, RC/CS<sub>m</sub> and ET<sub>0</sub>/CS<sub>m</sub>, key parameters determining efficiency of the photosynthetic apparatus, as well as chlorophyll and carotenoid contents to establish associations with biomass and grain yield. The existing genetic map was extended to 920 loci by adding Diversity Arrays Technology markers. Markers and selected genes for photosynthetic light reactions, pigment metabolism and biomass accumulation were located to chromosome deletion bins. Across all CF traits and years, 116 QTL for CF were located on all chromosomes except 7B, and 39 QTL were identified for pigments on the majority of chromosomes, excluding 1A, 2A, 4A, 3B, 5B, 1D, 2D, 5D, 6D and 7D. Thirty QTL for plant productivity traits were mapped on chromosomes 3A, 5A, 6A, 7A, 1B, 2B, 4B, 6B, 7B, 3D and 4D. A region on chromosome 6B was identified where 14 QTL for CF parameters coincided with QTL for chlorophyll content and grain weight per ear. Thirty-five QTL regions were coincident with candidate genes. The environment was shown to dominate in determining expression of genes for those traits.

Download PDF

↓

Sections

Figures

References

Abstract

Introduction

Materials and methods

Results

Discussion

Conclusions

References

Acknowledgments

Author information

Electronic supplementary material

Rights and permissions

About this article
WheatIS data repository

<figure><img src="image_71.png" /></figure>
WheatIS data repository

<figure><img src="image_76.png" /></figure>
☐ DSpace created in 2016

<figure><img src="image_72.png" /></figure>

☐ very little usage since then
☐ DSpace created in 2016

<figure><img src="image_77.png" /></figure>

☐ very little usage since then
Now

☐ All the submitted files are already in other repositories

☐ IWGSC Data Repository

☐ GnpIS

☐ PlantPhenoDB

☐ There are alternatives widely used by the community

☐ Zenodo

☐ FAIRDOM

☐ Dataverse
Now

☐ All the submitted files are already in other repositories

☐ IWGSC Data Repository

☐ GnpIS

☐ PlantPhenoDB

☐ There are alternatives widely used by the community

☐ Zenodo

☐ FAIRDOM

☐ Dataverse
Futur

☐ We propose to shutdown this service

☐ Focus on providing recommandations, documents and
support on how to submit FAIR data in repositories
Futur

☐ We propose to shutdown this service

☐ Focus on providing recommandations, documents and support on how to submit FAIR data in repositories
Database spotlight: GrainGenes

<figure><img src="image_73.png" /></figure>
Database spotlight: GrainGenes

<figure><img src="image_78.png" /></figure>
# Discussion and budget request for 2023

<figure><img src="image_74.png" /></figure>
Discussion and budget request for 2023

<figure><img src="image_79.png" /></figure>
# Budget for workshops

☐ Annual meeting of next year at PAG

☐ Gene nomenclature:

☐ There is a publication coming soon about wheat gene nomenclature led by Scott Boden.

☐ Workshop could be focused on supporting the use of the nomenclature and guidelines.

☐ Other meetings ?
# Budget for workshops

☐ Annual meeting of next year at PAG

☐ Gene nomenclature:

☐ There is a publication coming soon about wheat gene nomenclature led by Scott Boden.

☐ Workshop could be focused on supporting the use of the nomenclature and guidelines.

☐ Other meetings ?
# Budget for workshops

☐ Annual meeting of next year at PAG

☐ Gene nomenclature:

☐ There is a publication coming soon about wheat gene nomenclature led by Scott Boden.

☐ Workshop could be focused on supporting the use of the nomenclature and guidelines.

☐ Other meetings ?
# Budget for workshops

☐ Annual meeting of next year at PAG

☐ Gene nomenclature:

☐ There is a publication coming soon about wheat gene nomenclature led by Scott Boden.

☐ Workshop could be focused on supporting the use of the nomenclature and guidelines.

☐ Other meetings ?
# Acknowledgements

<figure><img src="image_75.png" /></figure>

## Data providers

<figure><img src="image_76.png" /></figure>

@WheatIS wheatis-contact@wheatis.org
# Acknowledgements

## WheatIS Expert Working Group

<figure><img src="image_80.png" /><figcaption>Mr. Michael Alaux</figcaption></figure>

Deputy Head of 'Information Systems and Data Integration' at UQIS

**USA**
Email: michael.alaux@uqis.edu.au

<figure><img src="image_81.png" /><figcaption>Dr. Ruth Bastow
Innovation Director</figcaption></figure>

Crop Health and Protection Leader
(CHP)
UK
Email: ruth.bastow@uqis.edu.au

<figure><img src="image_82.png" /><figcaption>Dr. Ute Baumann</figcaption></figure>

Biostatistics Group Leader
Australian Centre for Plant Health
Australia
UK
Email: ute.baumann@uqis.edu.au

<figure><img src="image_83.png" /><figcaption>Dr. Vijai Bhadauria</figcaption></figure>

Research Scientist
Agriculture and Agri-Food Canada
Canada
Email: vijai.bhadauria@uqis.edu.au

<figure><img src="image_84.png" /><figcaption>Dr. Mario Caccamo</figcaption></figure>

Head of Crop Biostatistics
NAN
UK
Email: mario.caccamo@uqis.edu.au

<figure><img src="image_85.png" /><figcaption>Dr. Laurel Cooper</figcaption></figure>

Scientific Curator and Project
Coordinator, Plant Pathology and
BiOP groups

Queens State University
USA
Email: laurel.cooper@uqis.edu.au

<figure><img src="image_86.png" /><figcaption>Dr. Robert Davey</figcaption></figure>

CROTA Infrastructure & Algorithmic
Group Leader
European Institute (EUS)
UK
Email: robert.davey@uqis.edu.au

<figure><img src="image_87.png" /><figcaption>Dr. Kate Dreher
Generalist Data Coordinator</figcaption></figure>

GB/NTY
Mexico
UK
Email: kate.dreher@uqis.edu.au

<figure><img src="image_88.png" /><figcaption>Prof. Jorge Dubcovsky</figcaption></figure>

Professor
UCD and UHCR
USA
Email: jorge.dubcovsky@uqis.edu.au

<figure><img src="image_89.png" /><figcaption>Dr. Sarah Dyer
Entomolab Project Leader</figcaption></figure>

EHB 338
UK
Email: sarah.dyer@uqis.edu.au

<figure><img src="image_90.png" /><figcaption>Prof. David Edwards</figcaption></figure>

School of Plant Biology
University of Western Australia
Australia
Email: dave.edwards@uqis.edu.au

<figure><img src="image_91.png" /><figcaption>Dr. Paul Kersey
Deputy Director of Science
(Humanities and Geosciences)
Royal Ontario Garden, New
UK
Email: paul.kersey@uqis.edu.au</figcaption></figure>

<figure><img src="image_92.png" /><figcaption>Prof. Gerard Lazo</figcaption></figure>

Cultivator, OpenGenes Cluster
UK
USA
Email: gert.lazo@uqis.edu.au

<figure><img src="image_93.png" /><figcaption>Prof. David Marshall</figcaption></figure>

Director
MD&H, National Institute for Research
Germany
UK
Email: david.marshall@uqis.edu.au

<figure><img src="image_94.png" /><figcaption>Dr. Klaus Mayer
Research Director</figcaption></figure>

MD&H, National Institute for Research
Germany
UK
Email: klaus.mayer@uqis.edu.au

<figure><img src="image_95.png" /><figcaption>Dr. Amidou N'Diaye</figcaption></figure>

Head of Crop Biostatistics Associate
University of Senegal, Crop
Development Centre
Canada
Email: amidou.ndiaye@uqis.edu.au

<figure><img src="image_96.png" /><figcaption>Dr. Hadi Quesneville</figcaption></figure>

Head of Crop Biostatistics, in Senegal
H1 (2009)
NAN
France
Email: hadi.quesneville@uqis.edu.au

<figure><img src="image_97.png" /><figcaption>Prof. Christopher Rawlings</figcaption></figure>

Head of Crop Biostatistics and Systems
Ecosystem Research
UK
Email: christopher rawlings@uqis.edu.au

<figure><img src="image_98.png" /><figcaption>Dr. Mark Sawkins</figcaption></figure>

Assistant Director
WWF
USA
Email: mark.sawkins@uqis.edu.au

<figure><img src="image_99.png" /><figcaption>Dr. Taner Sen
GrainCave, Lead Scientist & Co-Head
Asset, Prior
USDA ARS & Iowa State University
USA
Email: taner.sen@uqis.edu.au</figcaption></figure>

<figure><img src="image_100.png" /><figcaption>Prof. Doreen Ware</figcaption></figure>

Researcher, Interim & Adj. Associate
Professor
USDA ARS & Cold Spring Harbor
Laboratory
USA
Email: doreen.ware@uqis.edu.au

## Data providers

<figure><img src="image_101.png" /></figure>

@WheatIS wheatis-contact@wheatis.org