Unknown

Dataset Information

0

Meta-QTL for resistance to white mold in common bean.


ABSTRACT: White mold, caused by the fungus Sclerotinia sclerotiorum (Lib.) de Bary, is a major disease that limits common bean production and quality worldwide. The host-pathogen interaction is complex, with partial resistance in the host inherited as a quantitative trait with low to moderate heritability. Our objective was to identify meta-QTL conditioning partial resistance to white mold from individual QTL identified across multiple populations and environments. The physical positions for 37 individual QTL were identified across 14 recombinant inbred bi-parental populations (six new, three re-genotyped, and five from the literature). A meta-QTL analysis of the 37 QTL was conducted using the genetic linkage map of Stampede x Red Hawk population as the reference. The 37 QTL condensed into 17 named loci (12 previously named and five new) of which nine were defined as meta-QTL WM1.1, WM2.2, WM3.1, WM5.4, WM6.2, WM7.1, WM7.4, WM7.5, and WM8.3. The nine meta-QTL had confidence intervals ranging from 0.65 to 9.41 Mb. Candidate genes shown to express under S. sclerotiorum infection in other studies, including cell wall receptor kinase, COI1, ethylene responsive transcription factor, peroxidase, and MYB transcription factor, were found within the confidence interval for five of the meta-QTL. The nine meta-QTL are recommended as potential targets for MAS for partial resistance to white mold in common bean.

SUBMITTER: Vasconcellos RC 

PROVIDER: S-EPMC5310892 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

altmetric image

Publications


White mold, caused by the fungus Sclerotinia sclerotiorum (Lib.) de Bary, is a major disease that limits common bean production and quality worldwide. The host-pathogen interaction is complex, with partial resistance in the host inherited as a quantitative trait with low to moderate heritability. Our objective was to identify meta-QTL conditioning partial resistance to white mold from individual QTL identified across multiple populations and environments. The physical positions for 37 individual  ...[more]

Similar Datasets

| S-EPMC3078875 | biostudies-literature
| S-EPMC5921182 | biostudies-literature
| S-EPMC3464175 | biostudies-literature
| S-EPMC4544502 | biostudies-literature
| S-EPMC4362272 | biostudies-literature
| S-EPMC9325907 | biostudies-literature
| S-EPMC8027503 | biostudies-literature
| S-EPMC6114847 | biostudies-literature
| S-EPMC5794095 | biostudies-literature
| S-EPMC8084209 | biostudies-literature