SNP Identification from RAD-Seq Data in Faba Bean (<i>Vicia faba</i> L.)

• DOI: 10.5376/pgt.2021.12.0002
• Publication Date: 2021-08-09T06:10:35Z
• Authors: Yujie Zhu; Tingfu Liu; Hanmei Li; Baogen Wang; Suqi Wu; Sujuan Li; Linlin Wang; Guojing Li; Xinyi Wu
• Keywords: Germ plasm; SNP; SNP genotyping

Faba bean is an important edible legume crop in China. Due to its huge genome size and no available reference genome, SNP marker very limited faba bean. To identify genome-wide markers, we obtained 35.47 Gb data from eight landraces by RAD-sequencing, with average of 4.77 for each accession. A total 245443516 reads were generated, the single accession has 30680439.5 reads, length reaches 144 bp. The Q20 Q30 values over 97.89% 93.83%, respectively. GC content between varied 38.05% 40.09%. Using a special Bayesian method under situation identified 3722 SNPs among landraces. Regarding accession, detected 3278 3578, homozygous number was larger than that heterozygous most accessions. For types, T:A-&gt;C:G type largest proportion (38.8%), followed C:G-&gt;T:A (28.0%) smallest T:A-&gt;A:T (7.5%). 31 selected convert into KASP they showed success rate 66.7% through amplifying on 46 this study provide strong genetic tool germplasm identification, gene mapping molecular breeding