Literature DB >> 27898824

Genome-Wide Association Study of Brown Stem Rot Resistance in Soybean across Multiple Populations.

Keith Rincker, Alexander E Lipka, Brian W Diers.   

Abstract

Genetic resistance to brown stem rot (BSR) of soybean [ (L.) Merr.], caused by (Allington & D.W. Chamb.) T.C. Harr. & McNew, has been identified and mapped with biparental populations. Although nearly 400 accessions have been identified with BSR resistance, this trait has been mapped in only 12 sources, and just two, PI84946-2 and PI88788, have been used to develop BSR resistant cultivars. Thus, there is a serious need to improve our knowledge of the genetic basis of BSR resistance in soybean so that resistance genes in cultivars can be diversified and markers close to resistance genes can be identified and used in marker-assisted selection (MAS). To this end, we conducted a genome-wide association study (GWAS) to identify novel genomic loci associated with BSR resistance and to gain further insight into a previously reported chromosome 16 region containing BSR resistance () genes. A total of 52,041 single-nucleotide polymorphisms (SNPs) were tested for association with BSR in a set of 4735 accessions from four diversity panels evaluated for resistance from 1989 to 2003. Using a unified mixed linear model and stepwise model selection, we refined the signals within the interval on chromosome 16 by finding associations that explain a substantial proportion of the total variation of BSR resistance. In combination with significant GWAS signals found elsewhere in the genome, our study will aid efforts to improve BSR resistance by providing new targets for MAS.
Copyright © 2016 Crop Science Society of America.

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Year:  2016        PMID: 27898824     DOI: 10.3835/plantgenome2015.08.0064

Source DB:  PubMed          Journal:  Plant Genome        ISSN: 1940-3372            Impact factor:   4.089


  6 in total

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Journal:  Theor Appl Genet       Date:  2022-07-05       Impact factor: 5.699

Review 2.  Genome-Wide Association Studies In Plant Pathosystems: Toward an Ecological Genomics Approach.

Authors:  Claudia Bartoli; Fabrice Roux
Journal:  Front Plant Sci       Date:  2017-05-23       Impact factor: 5.753

Review 3.  Genomics of Plant Disease Resistance in Legumes.

Authors:  Prasanna Kankanala; Raja Sekhar Nandety; Kirankumar S Mysore
Journal:  Front Plant Sci       Date:  2019-10-30       Impact factor: 5.753

Review 4.  Molecular Basis of Soybean Resistance to Soybean Aphids and Soybean Cyst Nematodes.

Authors:  Surendra Neupane; Jordan M Purintun; Febina M Mathew; Adam J Varenhorst; Madhav P Nepal
Journal:  Plants (Basel)       Date:  2019-09-26

5.  Integration of genome-wide association studies and gene coexpression networks unveils promising soybean resistance genes against five common fungal pathogens.

Authors:  Fabricio Almeida-Silva; Thiago M Venancio
Journal:  Sci Rep       Date:  2021-12-27       Impact factor: 4.379

6.  Genomic selection applications can improve the environmental performance of aquatics: A case study on the heat tolerance of abalone.

Authors:  Junyu Liu; Wenzhu Peng; Feng Yu; Yawei Shen; Wenchao Yu; Yisha Lu; Weihong Lin; Muzhi Zhou; Zekun Huang; Xuan Luo; Weiwei You; Caihuan Ke
Journal:  Evol Appl       Date:  2022-05-13       Impact factor: 4.929

  6 in total

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