A high-resolution consensus linkage map for barley based on GBS-derived genotypes

被引:2
|
作者
Abed, Amina [1 ]
Badea, Ana [2 ]
Beattie, Aaron [3 ]
Khanal, Raja [4 ]
Tucker, James [2 ]
Belzile, Francois [1 ]
机构
[1] Univ Laval, Dept Phytol, Pavillon Charles Eugene Marchand 1030,Ave Med, Quebec City, PQ G1V 0A6, Canada
[2] Agr & Agri Food Canada, Brandon Res & Dev Ctr, 2701 Grand Valley Rd, Brandon, MB R7A 5Y3, Canada
[3] Univ Saskatchewan, Barley & Oat Breeding Program Crop Dev Ctr, Agr Bldg,51 Campus Dr, Saskatoon, SK S7N 5A8, Canada
[4] Agr & Agri Food Canada, Ottawa Res & Dev Ctr, 960 Carling Ave, Ottawa, ON K1A 0C6, Canada
关键词
barley; genotyping-by-sequencing; single-nucleotide polymorphism; bi-parental population; recombination event; linkage map; consensus map; genetic position; GENETIC VARIANCE; GENOME; ASSOCIATION; IMPROVEMENT; RESISTANCE; SSR;
D O I
10.1139/gen-2021-0055
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
As genotyping-by-sequencing (GBS) is widely used in barley genetic studies, the translation of the physical position of GBS-derived SNPs into accurate genetic positions has become relevant. The main aim of this study was to develop a high-resolution consensus linkage map based on GBS-derived SNPs. The construction of this integrated map involved 11 bi-parental populations composed of 3743 segregating progenies. We adopted a uniform set of SNP-calling and filtering conditions to identify 50 875 distinct SNPs segregating in at least one population. These SNPs were grouped into 18580 non-redundant SNPs (bins). The resulting consensus linkage map spanned 1050.1 cM, providing an average density of 17.7 bins and 48.4 SNPs per cM. The consensus map is characterized by the absence of large intervals devoid of marker coverage (significant gaps), the largest interval between bins was only 3.7 cM and the mean distance between adjacent bins was 0.06 cM. This high resolution linkage map will contribute to several applications in genomic research, such as providing useful information on the recombination landscape for QTLs/genes identified via GWAS or ensuring a uniform distribution of SNPs when developing low-cost genotyping tools offering a limited number of markers.
引用
收藏
页码:83 / 94
页数:12
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