Targeted improvement of plant-based protein: Genome-wide association mapping of a lentil (Lens culinaris Medik.) diversity panel

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dc.creatorJohnson, Nathan
dc.creatorBoatwright, Jon Lucas
dc.creatorBridges, William
dc.creatorThavarajah, Pushparajah
dc.creatorAgrawal, Shiv Kumar
dc.creatorThavarajah, Dil
dc.date2024-05-01
dc.date2024-11-21T22:16:41Z
dc.date2024-11-21T22:16:41Z
dc.date.accessioned2026-06-27T14:23:14Z
dc.descriptionThe world is increasingly looking to plant-based sources to meet its protein needs.Multiple factors are driving this progression, ranging from nutritional and ethical con-siderations to climate change and population growth. As a pulse crop, lentil is ideal tohelp meet this change in demand. However, plant-based proteins have limiting aminoacids and lower protein digestibility compared to animal-based proteins. Thisresearch identifies genetic markers that can be used to accelerate breeding of proteinquality traits in lentil to ultimately help meet the rising demand in high-quality plant-based protein and bolster global food and nutritional security.Summary• Lentil (Lens culinaris Medik.) contains 25% high-quality protein in addition to highconcentrations of prebiotic carbohydrates and micronutrients, such as folate, iron,zinc, and selenium. As animal-based protein's economic and environmental costsrise, plant-based protein sources, such as lentil, will become increasingly importantto global food systems. Consequently, evaluating and targeting protein quality traitsfor genomic-assisted breeding is a valuable objective for lentil breeding programs.• A diversity panel of 183 breeding lines was analyzed for protein quality traits, includ-ing amino acids and protein digestibility. Genotyping-by-sequencing (GBS) data wereused to assess population structure and conduct genome-wide association studies(GWAS). Genes in local linkage disequilibrium (LD) with significant single nucleotidepolymorphism (SNP) markers were identified and categorized by homology.• Protein quality traits showed a wide range of variation. Repeatability estimateswere low to moderate across traits. Twelve traits were strongly correlated witheach other (r > .7). Admixture analysis identified six ancestral subpopulations,which also demonstrated clustering in principal component analysis. Ten differenttraits had significant SNP associations; two loci were shared across multiple traits.Twenty-seven candidate genes, including glutathione S-transferase, protease fam-ily, and gibberellin 2-beta-dioxygenase genes, were identified.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/162584
dc.identifier.urihttp://hdl.handle.net/123456789/78182
dc.languageen
dc.publisherWiley Open Access
dc.rightsOpen Access
dc.sourceNathan Johnson, Jon Lucas Boatwright, William Bridges, Pushparajah Thavarajah, Shiv Kumar Agrawal, Dil Thavarajah. (1/5/2024). Targeted improvement of plant-based protein: Genome-wide association mapping of a lentil (Lens culinaris Medik. ) diversity panel. Plants People Planet, 6 (3), pp. 640-655.
dc.subjectbreeding
dc.subjectpulses
dc.subjectamino acids
dc.subjectlentil
dc.subjectgenome-wide association study
dc.subjectadmixture
dc.subjectlentil
dc.subjectprotein
dc.subjectprotein digestibility
dc.titleTargeted improvement of plant-based protein: Genome-wide association mapping of a lentil (Lens culinaris Medik.) diversity panel
dc.typeJournal Article

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Centro Internacional para la Investigación Agrícola en las Áreas Secas (ICARDA)