Genome-wide association study for yield-related traits in faba bean ( Vicia faba L.)

Yield is the most complex trait to improve crop production, and identifying the genetic determinants for high yield is a major issue in breeding new varieties. In faba bean ( L.), quantitative trait loci (QTLs) have previously been detected in studies of biparental mapping populations, but the genes...

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Veröffentlicht in:Frontiers in plant science 2024-03, Vol.15, p.1328690
Hauptverfasser: Gutierrez, Natalia, Pégard, Marie, Solis, Ignacio, Sokolovic, Dejan, Lloyd, David, Howarth, Catherine, Torres, Ana M
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Sprache:eng
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Zusammenfassung:Yield is the most complex trait to improve crop production, and identifying the genetic determinants for high yield is a major issue in breeding new varieties. In faba bean ( L.), quantitative trait loci (QTLs) have previously been detected in studies of biparental mapping populations, but the genes controlling the main trait components remain largely unknown. In this study, we investigated for the first time the genetic control of six faba bean yield-related traits: shattering (SH), pods per plant (PP), seeds per pod (SP), seeds per plant (SPL), 100-seed weight (HSW), and plot yield (PY), using a genome-wide association study (GWAS) on a worldwide collection of 352 homozygous faba bean accessions with the aim of identifying markers associated with them. Phenotyping was carried out in field trials at three locations (Spain, United Kingdom, and Serbia) over 2 years. The faba bean panel was genotyped with the Affymetrix faba bean SNP-chip yielding 22,867 SNP markers. The GWAS analysis identified 112 marker-trait associations (MTAs) in 97 candidate genes, distributed over the six faba bean chromosomes. Eight MTAs were detected in at least two environments, and five were associated with multiple traits. The next step will be to validate these candidates in different genetic backgrounds to provide resources for marker-assisted breeding of faba bean yield.
ISSN:1664-462X
1664-462X
DOI:10.3389/fpls.2024.1328690