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• W2996313191 abstract "A genome-wide association study (GWAS) aims to identify the genetic bases of quantitative phenotypic traits. GWAS detects statistical differences in phenotypic means among genotypic (or allelic) classes in a natural sample of individuals, at each of numerous polymorphic markers along a species genome. This approach has been increasingly used since the 2000s in model species, as next-generation sequencing technologies became less and less costly. In this chapter, we describe how GWAS can be implemented in the model legume Medicago truncatula as an alternative or complementary approach to quantitative trait locus (QTL) mapping, thanks to a massive amount of single nucleotide polymorphism (SNP) markers identified in a collection of natural accessions, in the frame of the Medicago HapMap Project. First, we examine crucial genetic and statistical concepts behind association mapping and some features in plants. Second, we discuss the genomic resources, the statistical tools as well as prerequisite knowledge about demographic history, patterns of population structure and selection, which are necessary elements for proper implementation, understanding, and interpretation of GWAS in M. truncatula. Third, we discuss relevant findings emerging from the first GWAS experiments in M. truncatula. We emphasize the ability to fine map major genes underlying some quantitative traits previously investigated in M. truncatula through QTL analyses, or to discover new genetic determinants. We also highlight the possibility to investigate traits with various genetic architectures and selective pressures, while pointing out some expectable limitations to recover genetic factors identified by reverse genetic approaches. Finally, we consider promising results regarding the functional validations of candidate genes following their identification by GWAS in M. truncatula." @default.
• W2996313191 created "2019-12-26" @default.
• W2996313191 creator A5001326851 @default.
• W2996313191 creator A5086149461 @default.
• W2996313191 date "2019-12-13" @default.
• W2996313191 modified "2023-09-30" @default.
• W2996313191 title "Genome‐wide association mapping and population genomic features in<i>Medicago truncatula</i>" @default.
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• W2996313191 doi "https://doi.org/10.1002/9781119409144.ch109" @default.
• W2996313191 hasPublicationYear "2019" @default.
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