| Literature DB >> 34117907 |
Chenyu Wang1, Rong Liu1, Yujiao Liu2, Wanwei Hou3, Xuejun Wang4, Yamei Miao4, Yuhua He5, Yu Ma6, Guan Li1, Dong Wang1, Yishan Ji1, Hongyan Zhang3, Mengwei Li1, Xin Yan1, Xuxiao Zong7, Tao Yang8.
Abstract
KEY MESSAGE: Large-scale faba bean transcriptome data are available, and the first genotyping platform based on liquid-phase probe targeted capture technology was developed for genetic and molecular breeding studies. Faba bean (Vicia faba L., 2n = 12) is an important food legume crop that is widely grown for multiple uses worldwide. However, no reference genome is currently available due to its very large genome size (approximately 13 Gb) and limited single nucleotide polymorphism (SNP) markers as well as highly efficient genotyping tools have been reported for faba bean. In this study, 16.7 billion clean reads were obtained from transcriptome libraries of flowers and leaves of 102 global faba bean accessions. A total of 243,120 unigenes were de novo assembled and functionally annotated. Moreover, a total of 1,579,411 SNPs were identified and further filtered according to a selection pipeline to develop a high-throughput, flexible, low-cost Faba_bean_130K targeted next-generation sequencing (TNGS) genotyping platform. A set of 69 Chinese faba bean accessions were genotyped with the TNGS genotyping platform, and the average mapping rate of captured reads to reference transcripts was 93.14%, of which 53.23% were located in the targeted regions. The TNGS genotyping results were validated by Sanger sequencing and the average consistency rate reached 93.6%. Comprehensive population genetic analysis was performed on the 69 Chinese faba bean accessions and identified four genetic subgroups correlated with the geographic distribution. This study provides valuable genomic resources and a reliable genotyping tool that could be implemented in genetic and molecular breeding studies to accelerate new cultivar development and improvement in faba bean.Entities:
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Year: 2021 PMID: 34117907 DOI: 10.1007/s00122-021-03885-0
Source DB: PubMed Journal: Theor Appl Genet ISSN: 0040-5752 Impact factor: 5.699