Literature DB >> 27135674

Characterization of Disease Resistance Loci in the USDA Soybean Germplasm Collection Using Genome-Wide Association Studies.

Hao-Xun Chang1, Alexander E Lipka1, Leslie L Domier1, Glen L Hartman1.   

Abstract

Genetic resistance is a key strategy for disease management in soybean. Over the last 50 years, soybean germplasm has been phenotyped for resistance to many pathogens, resulting in the development of disease-resistant elite breeding lines and commercial cultivars. While biparental linkage mapping has been used to identify disease resistance loci, genome-wide association studies (GWAS) using high-density and high-quality markers such as single nucleotide polymorphisms (SNPs) has become a powerful tool to associate molecular markers and phenotypes. The objective of our study was to provide a comprehensive understanding of disease resistance in the United States Department of Agriculture Agricultural Research Service Soybean Germplasm Collection by using phenotypic data in the public Germplasm Resources Information Network and public SNP data (SoySNP50K). We identified SNPs significantly associated with disease ratings from one bacterial disease, five fungal diseases, two diseases caused by nematodes, and three viral diseases. We show that leucine-rich repeat (LRR) receptor-like kinases and nucleotide-binding site-LRR candidate resistance genes were enriched within the linkage disequilibrium regions of the significant SNPs. We review and present a global view of soybean resistance loci against multiple diseases and discuss the power and the challenges of using GWAS to discover disease resistance in soybean.

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Year:  2016        PMID: 27135674     DOI: 10.1094/PHYTO-01-16-0042-FI

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  28 in total

Review 1.  Breeding for disease resistance in soybean: a global perspective.

Authors:  Feng Lin; Sushil Satish Chhapekar; Caio Canella Vieira; Marcos Paulo Da Silva; Alejandro Rojas; Dongho Lee; Nianxi Liu; Esteban Mariano Pardo; Yi-Chen Lee; Zhimin Dong; Jose Baldin Pinheiro; Leonardo Daniel Ploper; John Rupe; Pengyin Chen; Dechun Wang; Henry T Nguyen
Journal:  Theor Appl Genet       Date:  2022-07-05       Impact factor: 5.699

2.  Identification of Candidate Genes Controlling Soybean Cyst Nematode Resistance in "Handou 10" Based on Genome and Transcriptome Analyzes.

Authors:  He Wei; Yun Lian; Jinying Li; Haichao Li; Qijian Song; Yongkang Wu; Chenfang Lei; Shiwei Wang; Hui Zhang; Jinshe Wang; Weiguo Lu
Journal:  Front Plant Sci       Date:  2022-03-15       Impact factor: 5.753

Review 3.  Mapping Major Disease Resistance Genes in Soybean by Genome-Wide Association Studies.

Authors:  Everton Geraldo Capote Ferreira; Francismar Corrêa Marcelino-Guimarães
Journal:  Methods Mol Biol       Date:  2022

4.  Genetic relationships and genome selection signatures between soybean cultivars from Brazil and United States after decades of breeding.

Authors:  João Vitor Maldonado Dos Santos; Gustavo Cesar Sant'Ana; Philip Traldi Wysmierski; Matheus Henrique Todeschini; Alexandre Garcia; Anderson Rotter Meda
Journal:  Sci Rep       Date:  2022-06-23       Impact factor: 4.996

Review 5.  Integration of sudden death syndrome resistance loci in the soybean genome.

Authors:  Hao-Xun Chang; Mitchell G Roth; Dechun Wang; Silvia R Cianzio; David A Lightfoot; Glen L Hartman; Martin I Chilvers
Journal:  Theor Appl Genet       Date:  2018-02-12       Impact factor: 5.699

Review 6.  Advancements in breeding, genetics, and genomics for resistance to three nematode species in soybean.

Authors:  Ki-Seung Kim; Tri D Vuong; Dan Qiu; Robert T Robbins; J Grover Shannon; Zenglu Li; Henry T Nguyen
Journal:  Theor Appl Genet       Date:  2016-10-28       Impact factor: 5.699

7.  Major locus for spontaneous haploid genome doubling detected by a case-control GWAS in exotic maize germplasm.

Authors:  Anderson Luiz Verzegnazzi; Iara Gonçalves Dos Santos; Matheus Dalsente Krause; Matthew Hufford; Ursula Karoline Frei; Jacqueline Campbell; Vinícius Costa Almeida; Leandro Tonello Zuffo; Nicholas Boerman; Thomas Lübberstedt
Journal:  Theor Appl Genet       Date:  2021-02-05       Impact factor: 5.699

8.  Genome-wide association study of the seed transmission rate of soybean mosaic virus and associated traits using two diverse population panels.

Authors:  Qiong Liu; Houston A Hobbs; Leslie L Domier
Journal:  Theor Appl Genet       Date:  2019-10-19       Impact factor: 5.574

9.  Genome-wide association studies dissect the genetic networks underlying agronomical traits in soybean.

Authors:  Chao Fang; Yanming Ma; Shiwen Wu; Zhi Liu; Zheng Wang; Rui Yang; Guanghui Hu; Zhengkui Zhou; Hong Yu; Min Zhang; Yi Pan; Guoan Zhou; Haixiang Ren; Weiguang Du; Hongrui Yan; Yanping Wang; Dezhi Han; Yanting Shen; Shulin Liu; Tengfei Liu; Jixiang Zhang; Hao Qin; Jia Yuan; Xiaohui Yuan; Fanjiang Kong; Baohui Liu; Jiayang Li; Zhiwu Zhang; Guodong Wang; Baoge Zhu; Zhixi Tian
Journal:  Genome Biol       Date:  2017-08-24       Impact factor: 13.583

Review 10.  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

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