Literature DB >> 26933934

Genotyping-by-sequencing-based genome-wide association studies on Verticillium wilt resistance in autotetraploid alfalfa (Medicago sativa L.).

Long-Xi Yu1, Ping Zheng2, Tiejun Zhang1, Jonas Rodringuez3, Dorrie Main2.   

Abstract

Verticillium wilt (VW) is a fungal disease that causes severe yield losses in alfalfa. The most effective method to control the disease is through the development and use of resistant varieties. The identification of marker loci linked to VW resistance can facilitate breeding for disease-resistant alfalfa. In the present investigation, we applied an integrated framework of genome-wide association with genotyping-by-sequencing (GBS) to identify VW resistance loci in a panel of elite alfalfa breeding lines. Phenotyping was performed by manual inoculation of the pathogen to healthy seedlings, and scoring for disease resistance was carried out according to the standard test of the North America Alfalfa Improvement Conference (NAAIC). Marker-trait association by linkage disequilibrium identified 10 single nucleotide polymorphism (SNP) markers significantly associated with VW resistance. Alignment of the SNP marker sequences to the M. truncatula genome revealed multiple quantitative trait loci (QTLs). Three, two, one and five markers were located on chromosomes 5, 6, 7 and 8, respectively. Resistance loci found on chromosomes 7 and 8 in the present study co-localized with the QTLs reported previously. A pairwise alignment (blastn) using the flanking sequences of the resistance loci against the M. truncatula genome identified potential candidate genes with putative disease resistance function. With further investigation, these markers may be implemented into breeding programmes using marker-assisted selection, ultimately leading to improved VW resistance in alfalfa. PUBLISHED 2016. THIS ARTICLE IS A U.S. GOVERNMENT WORK AND IS IN THE PUBLIC DOMAIN IN THE USA.

Entities:  

Keywords:  fungal disease; genotyping-by-sequencing; linkage disequilibrium; marker-assisted selection; quantitative trait loci

Mesh:

Substances:

Year:  2016        PMID: 26933934      PMCID: PMC6638244          DOI: 10.1111/mpp.12389

Source DB:  PubMed          Journal:  Mol Plant Pathol        ISSN: 1364-3703            Impact factor:   5.663


  6 in total

1.  The Impact of Genotyping-by-Sequencing Pipelines on SNP Discovery and Identification of Markers Associated with Verticillium Wilt Resistance in Autotetraploid Alfalfa (Medicago sativa L.).

Authors:  Long-Xi Yu; Ping Zheng; Suresh Bhamidimarri; Xiang-Ping Liu; Dorie Main
Journal:  Front Plant Sci       Date:  2017-02-07       Impact factor: 5.753

2.  Quantitative Resistance to Verticillium Wilt in Medicago truncatula Involves Eradication of the Fungus from Roots and Is Associated with Transcriptional Responses Related to Innate Immunity.

Authors:  Maoulida Toueni; Cécile Ben; Aurélie Le Ru; Laurent Gentzbittel; Martina Rickauer
Journal:  Front Plant Sci       Date:  2016-09-29       Impact factor: 5.753

Review 3.  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 4.  Research Progress and Prospect of Alfalfa Resistance to Pathogens and Pests.

Authors:  Bo Yang; Yao Zhao; Zhenfei Guo
Journal:  Plants (Basel)       Date:  2022-08-01

Review 5.  Tools for Genetic Studies in Experimental Populations of Polyploids.

Authors:  Peter M Bourke; Roeland E Voorrips; Richard G F Visser; Chris Maliepaard
Journal:  Front Plant Sci       Date:  2018-04-18       Impact factor: 5.753

6.  Two linked resistance genes function divergently in defence against Verticillium Wilt in Alfalfa.

Authors:  Sen Lin; Yi Niu; Cesar Augusto Medina; Long-Xi Yu
Journal:  Plant Biotechnol J       Date:  2022-02-24       Impact factor: 9.803

  6 in total

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