Literature DB >> 32150504

Construction of High-Density Linkage Maps and Identification of Quantitative Trait Loci Associated with Verticillium Wilt Resistance in Autotetraploid Alfalfa (Medicago sativa L.).

Long-Xi Yu1, Fan Zhang2, Cesar Medina Culma1, Sen Lin1, Yi Niu1, Tiejun Zhang2, Qingchuan Yang2, Mark Smith3, Jinguo Hu1.   

Abstract

Verticillium wilt (VW) of alfalfa is a devastating disease that causes forage yield reductions of up to 50% in the northern United States and Canada. The most effective method for controlling the disease is through the development and use of resistant varieties. To identify quantitative trait loci (QTL) for VW resistance in alfalfa, we used a full-sib population segregating for VW resistance. High-density linkage maps for both resistant and susceptible parents were constructed using single-dose alleles of single-nucleotide polymorphism markers generated by genotyping-by-sequencing. Five QTL associated with VW resistance were identified and they were in four linkage groups (4D, 6B, 6D, and 8C). Of those, three QTL (qVW-6D-1, qVW-6D-2, and qVW-8C) had higher logarithm of odds. Two putative candidates of nucleotide-binding site leucine-rich repeat disease resistance genes were identified in the QTL intervals of qVW-6D-2 and qVW-8C, respectively. The result agreed with our previous studies, in which similar resistance loci were identified in an association panel using genome-wide association. The results provide insight into the quantitative resistance to VW in alfalfa. The resistance loci and closely linked markers identified in the present study can be used in developing new alfalfa varieties with enhanced resistance to VW.

Entities:  

Keywords:  QTL mapping; Verticillium wilt; genotyping-by-sequencing; linkage map; single-dose allele

Mesh:

Year:  2020        PMID: 32150504     DOI: 10.1094/PDIS-08-19-1718-RE

Source DB:  PubMed          Journal:  Plant Dis        ISSN: 0191-2917            Impact factor:   4.438


  3 in total

1.  Genome-Wide Association Analysis Coupled With Transcriptome Analysis Reveals Candidate Genes Related to Salt Stress in Alfalfa (Medicago sativa L.).

Authors:  Fei He; Chunxue Wei; Yunxiu Zhang; Ruicai Long; Mingna Li; Zhen Wang; Qingchuan Yang; Junmei Kang; Lin Chen
Journal:  Front Plant Sci       Date:  2022-02-03       Impact factor: 5.753

Review 2.  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

3.  Genome-Wide Association Studies Identifying Multiple Loci Associated With Alfalfa Forage Quality.

Authors:  Sen Lin; Cesar Augusto Medina; O Steven Norberg; David Combs; Guojie Wang; Glenn Shewmaker; Steve Fransen; Don Llewellyn; Long-Xi Yu
Journal:  Front Plant Sci       Date:  2021-06-18       Impact factor: 5.753

  3 in total

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