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Bulked segregant analysis using next-generation sequencing for identification of genetic loci for charcoal rot resistance in soybean.

Authors :
da Silva, Marcos P.
Zaccaron, Alex Z.
Bluhm, Burt H.
Rupe, John C.
Wood, Lisa
Mozzoni, Leandro A.
Mason, Richard E.
Yingling, Sara
Pereira, Andy
Source :
Physiological & Molecular Plant Pathology. Jan2020, Vol. 109, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

Charcoal rot, caused by Macrophomina phaseolina in soybean [ Glycine max (L).Merr.] is a disease of economic significance in the United States. Chemical and cultural control are not effective and host resistance could be a potential method to control the disease. In this study we report the use of bulked-segregant analysis (BSA) to map the genetic basis of resistance to charcoal rot in soybean PI 567562A, using a QTL-seq approach. Resistant and susceptible bulks from progenies of a biparental population (PI 567562A and PI 567437) were sequenced, and reads were aligned to the PI 567562A genome and used to calculate the SNP-index at each SNP position for the resistant and susceptible bulks. The average distributions of the SNP-index and Δ SNP-index across the genome were estimated for genomic intervals using a sliding window analysis with 2-Mb window size and a 10-kb step. Three genomic regions on chromosomes 5, 8 and 14 were identified with positive values in Δ SNP-index plots that potentially correspond to QTL governing the difference between the R-bulk and S-bulk sub-populations. The current study is the first attempt employing QTL-seq to identify genomic regions that may contain QTL controlling charcoal rot disease resistance in soybean. • Genetic basis of resistance to charcoal rot in soybean. • QTL-seq approach with next-generation sequencing (NGS). • Bulked-segregant analysis (BSA). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08855765
Volume :
109
Database :
Academic Search Index
Journal :
Physiological & Molecular Plant Pathology
Publication Type :
Academic Journal
Accession number :
141401104
Full Text :
https://doi.org/10.1016/j.pmpp.2019.101440