Combined Genomic and Genetic Data Integration of Major Agronomical Traits in Bread Wheat ( L.)

Overview

Journal Front Plant Sci

Date 2017 Nov 30

PMID 29184557

Citations 27

Authors

Umar M Quraishi

Caroline Pont

Qurat-Ul Ain

Raphael Flores

Laura Burlot

Michael Alaux

Hadi Quesneville

Jerome Salse

Affiliations

Soon will be listed here.

Abstract

The high resolution integration of bread wheat genetic and genomic resources accumulated during the last decades offers the opportunity to unveil candidate genes driving major agronomical traits to an unprecedented scale. We combined 27 public quantitative genetic studies and four genetic maps to deliver an exhaustive consensus map consisting of 140,315 molecular markers hosting 221, 73, and 82 Quantitative Trait Loci (QTL) for respectively yield, baking quality, and grain protein content (GPC) related traits. Projection of the consensus genetic map and associated QTLs onto the wheat syntenome made of 99,386 genes ordered on the 21 chromosomes delivered a complete and non-redundant repertoire of 18, 8, 6 metaQTLs for respectively yield, baking quality and GPC, altogether associated to 15,772 genes (delivering 28,630 SNP-based makers) including 37 major candidates. Overall, this study illustrates a translational research approach in transferring information gained from grass relatives to dissect the genomic regions hosting major loci governing key agronomical traits in bread wheat, their flanking markers and associated candidate genes to be now considered as a key resource for breeding programs.

Citing Articles

Genome-wide association analysis and KASP markers development for protein quality traits in winter wheat.

Tian Y, Liu P, Kong D, Nie Y, Xu H, Han X BMC Plant Biol. 2025; 25(1):149.

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Dissection of QTLs underlying the genetic basis of drought resistance in wheat: a meta-analysis.

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Fine mapping of QGPC.caas-7AL for grain protein content in bread wheat.

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Genome-wide screening of meta-QTL and candidate genes controlling yield and yield-related traits in barley (Hordeum vulgare L.).

Du B, Wu J, Wang Q, Sun C, Sun G, Zhou J PLoS One. 2024; 19(5):e0303751.

PMID: 38768114 PMC: 11104655. DOI: 10.1371/journal.pone.0303751.

Detection of consensus genomic regions and candidate genes for quality traits in barley using QTL meta-analysis.

Du B, Wu J, Wang M, Wu J, Sun C, Zhang X Front Plant Sci. 2024; 14:1319889.

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