Uncovering candidate genes involved in photosynthetic capacity using unexplored genetic variation in Spring Wheat

Summary To feed an ever‐increasing population we must leverage advances in genomics and phenotyping to harness the variation in wheat breeding populations for traits like photosynthetic capacity which remains unoptimized. Here we survey a diverse set of wheat germplasm containing elite, introgressio...

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Published inPlant biotechnology journal Vol. 19; no. 8; pp. 1537 - 1552
Main Authors Joynson, Ryan, Molero, Gemma, Coombes, Benedict, Gardiner, Laura‐Jayne, Rivera‐Amado, Carolina, Piñera‐Chávez, Francisco J., Evans, John R., Furbank, Robert T., Reynolds, Matthew P., Hall, Anthony
Format Journal Article
LanguageEnglish
Published England John Wiley & Sons, Inc 01.08.2021
John Wiley and Sons Inc
Subjects
Aegilops Tauschii
Association analysis
Biomass
capture sequencing
Chlorophyll
Efficiency
exotic material
Genes
Genetic diversity
Genomes
Genomics
Germplasm
GWAS
Hydration
hyperspectral reflectance
Phenotyping
Photosynthesis
Plant breeding
Population
Population growth
Radiation
Single-nucleotide polymorphism
Spring wheat
Triticum aestivum
Wheat
capture sequencing
Aegilops Tauschii
GWAS
hyperspectral reflectance
Triticum aestivum
exotic material
Online AccessGet full text

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Abstract Summary To feed an ever‐increasing population we must leverage advances in genomics and phenotyping to harness the variation in wheat breeding populations for traits like photosynthetic capacity which remains unoptimized. Here we survey a diverse set of wheat germplasm containing elite, introgression and synthetic derivative lines uncovering previously uncharacterized variation. We demonstrate how strategic integration of exotic material alleviates the D genome genetic bottleneck in wheat, increasing SNP rate by 62% largely due to Ae. tauschii synthetic wheat donors. Across the panel, 67% of the Ae. tauschii donor genome is represented as introgressions in elite backgrounds. We show how observed genetic variation together with hyperspectral reflectance data can be used to identify candidate genes for traits relating to photosynthetic capacity using association analysis. This demonstrates the value of genomic methods in uncovering hidden variation in wheat and how that variation can assist breeding efforts and increase our understanding of complex traits.
AbstractList To feed an ever‐increasing population we must leverage advances in genomics and phenotyping to harness the variation in wheat breeding populations for traits like photosynthetic capacity which remains unoptimized. Here we survey a diverse set of wheat germplasm containing elite, introgression and synthetic derivative lines uncovering previously uncharacterized variation. We demonstrate how strategic integration of exotic material alleviates the D genome genetic bottleneck in wheat, increasing SNP rate by 62% largely due to Ae. tauschii synthetic wheat donors. Across the panel, 67% of the Ae. tauschii donor genome is represented as introgressions in elite backgrounds. We show how observed genetic variation together with hyperspectral reflectance data can be used to identify candidate genes for traits relating to photosynthetic capacity using association analysis. This demonstrates the value of genomic methods in uncovering hidden variation in wheat and how that variation can assist breeding efforts and increase our understanding of complex traits.
Summary To feed an ever‐increasing population we must leverage advances in genomics and phenotyping to harness the variation in wheat breeding populations for traits like photosynthetic capacity which remains unoptimized. Here we survey a diverse set of wheat germplasm containing elite, introgression and synthetic derivative lines uncovering previously uncharacterized variation. We demonstrate how strategic integration of exotic material alleviates the D genome genetic bottleneck in wheat, increasing SNP rate by 62% largely due to Ae. tauschii synthetic wheat donors. Across the panel, 67% of the Ae. tauschii donor genome is represented as introgressions in elite backgrounds. We show how observed genetic variation together with hyperspectral reflectance data can be used to identify candidate genes for traits relating to photosynthetic capacity using association analysis. This demonstrates the value of genomic methods in uncovering hidden variation in wheat and how that variation can assist breeding efforts and increase our understanding of complex traits.
To feed an ever-increasing population we must leverage advances in genomics and phenotyping to harness the variation in wheat breeding populations for traits like photosynthetic capacity which remains unoptimized. Here we survey a diverse set of wheat germplasm containing elite, introgression and synthetic derivative lines uncovering previously uncharacterized variation. We demonstrate how strategic integration of exotic material alleviates the D genome genetic bottleneck in wheat, increasing SNP rate by 62% largely due to Ae. tauschii synthetic wheat donors. Across the panel, 67% of the Ae. tauschii donor genome is represented as introgressions in elite backgrounds. We show how observed genetic variation together with hyperspectral reflectance data can be used to identify candidate genes for traits relating to photosynthetic capacity using association analysis. This demonstrates the value of genomic methods in uncovering hidden variation in wheat and how that variation can assist breeding efforts and increase our understanding of complex traits.
Author Gardiner, Laura‐Jayne
Molero, Gemma
Evans, John R.
Piñera‐Chávez, Francisco J.
Furbank, Robert T.
Joynson, Ryan
Hall, Anthony
Reynolds, Matthew P.
Rivera‐Amado, Carolina
Coombes, Benedict
AuthorAffiliation 3 IBM Research Daresbury UK
4 ARC Centre of Excellence for Translational Photosynthesis Australian National University Canberra Australia
1 The Earlham Institute Norwich UK
2 Global Wheat Program, International Maize and Wheat Improvement Centre (CIMMYT) Texcoco Mexico
AuthorAffiliation_xml – name: 3 IBM Research Daresbury UK
– name: 4 ARC Centre of Excellence for Translational Photosynthesis Australian National University Canberra Australia
– name: 2 Global Wheat Program, International Maize and Wheat Improvement Centre (CIMMYT) Texcoco Mexico
– name: 1 The Earlham Institute Norwich UK
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  fullname: Furbank, Robert T.
  organization: Australian National University
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  givenname: Matthew P.
  surname: Reynolds
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  organization: Global Wheat Program, International Maize and Wheat Improvement Centre (CIMMYT)
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  givenname: Anthony
  orcidid: 0000-0002-1806-020X
  surname: Hall
  fullname: Hall, Anthony
  email: Anthony.Hall@earlham.ac.uk
  organization: The Earlham Institute
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33638599$$D View this record in MEDLINE/PubMed
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Copyright 2021 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd.
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Keywords capture sequencing
Aegilops Tauschii
GWAS
hyperspectral reflectance
Triticum aestivum
exotic material
Language English
License Attribution
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Snippet Summary To feed an ever‐increasing population we must leverage advances in genomics and phenotyping to harness the variation in wheat breeding populations for...
To feed an ever-increasing population we must leverage advances in genomics and phenotyping to harness the variation in wheat breeding populations for traits...
To feed an ever‐increasing population we must leverage advances in genomics and phenotyping to harness the variation in wheat breeding populations for traits...
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StartPage 1537
SubjectTerms Aegilops Tauschii
Association analysis
Biomass
capture sequencing
Chlorophyll
Efficiency
exotic material
Genes
Genetic diversity
Genomes
Genomics
Germplasm
GWAS
Hydration
hyperspectral reflectance
Phenotyping
Photosynthesis
Plant breeding
Population
Population growth
Radiation
Single-nucleotide polymorphism
Spring wheat
Triticum aestivum
Wheat
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Title Uncovering candidate genes involved in photosynthetic capacity using unexplored genetic variation in Spring Wheat
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fpbi.13568
https://www.ncbi.nlm.nih.gov/pubmed/33638599
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https://pubmed.ncbi.nlm.nih.gov/PMC8384606
Volume 19
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