Literature DB >> 31756427

Genome-wide genetic diversity detection and population structure analysis in sweetpotato (Ipomoea batatas) using RAD-seq.

Junyan Feng1, Shan Zhao2, Ming Li3, Cong Zhang3, Huijuan Qu3, Qing Li3, Jianwei Li3, Yang Lin3, Zhigang Pu4.   

Abstract

Sweetpotato (Ipomoea batatas L.) is one of the most important food and grain-forage crops globally. It has been planted in >100 countries. Due to the complexity of the sweetpotato genome, its research is far behind other major food crops. At present, limited information about the sweetpotato genome is available. Thus, it is central to find an efficient approach for the investigation of sweetpotato genome. In this study, RAD-seq (Restriction site-associated DNA sequencing) was used to evaluate sweetpotato genetic structure diversity and to develop relevant SSR markers. The study yielded >128 Gb reliable sequence data from 81 sweetpotato accessions. By analyzing polymorphic tags from each accession, a total of 55,622 restriction-site associated DNA sequencing tags (RAD-seq) were found, containing 907,010 SNP. Genetic analysis divided 81 accessions into five major clusters based on their SNP genotype, which matches the results of genetic analysis and the genetic family tree. In addition, 18,320 SSRs loci were detected and 9336 SSR primer pairs were developed. Eighty-three primer pairs were amplified in different sweetpotato genotypes, 76 of which successfully amplified polymorphism bands. These results provide significant information about sweetpotato genome, which can be used to identify novel gene and to further develop the gene chip. And more significant, clustering results based on the SNP genotype provide an essential reference for breeders to match parent plants in breeding program. Additionally, SSR markers developed in this study will supply a wealth of markers for marker-assisted selection in sweetpotato breeding.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Genetic relationship; RAD-seq; SNP; SSR marker; Sweetpotato

Year:  2019        PMID: 31756427     DOI: 10.1016/j.ygeno.2019.11.010

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


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