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Development of core-collections for Guizhou tea genetic resources and GWAS of leaf size using SNP developed by genotyping-by-sequencing

文献类型: 外文期刊

作者: Niu, Suzhen 1 ; Koiwa, Hisashi 3 ; Song, Qinfei 2 ; Qiao, Dahe 1 ; Chen, Juan 1 ; Zhao, Degang 1 ; Chen, Zhengwu 1 ; Wang 1 ;

作者机构: 1.Guizhou Acad Agr Sci, Inst Tea, DUS Testing Ctr New Plant Varteties MOA, Guiyang Stn, Guiyang, Peoples R China

2.Guizhou Univ, Coll Tea Sci, Inst Agrobioengn,Minist Educ, Key Lab Plant Resources Conservat & Germplasm Inn, Guiyang, Peoples R China

3.Texas A&M Univ, Dept Hort Sci, Mol & Environm Plant Sci Program, Vegetable & Fruit Improvement Ctr, College Stn, TX 77843 USA

4.Wuhan Benagen Tech Solut Co Ltd, Wuhan, Peoples R China

关键词: Leaf Size; Tea Plant; GWAS; GBS; Core Collections

期刊名称:PEERJ ( 影响因子:2.984; 五年影响因子:3.369 )

ISSN: 2167-8359

年卷期: 2020 年 8 卷

页码:

收录情况: SCI

摘要: An accurate depiction of the genetic relationship, the development of core collection, and genome-wide association analysis (GWAS) are key for the effective exploitation and utilization of genetic resources. Here, genotyping-by-sequencing (GBS) was used to characterize 415 tea accessions mostly collected from the Guizhou region in China. A total of 30,282 high-quality SNPs was used to estimate the genetic relationships, develop core collections, and perform GWAS. We suggest 198 and 148 accessions to represent the core set and mini-core set, which consist of 47% and 37% of the whole collection, respectively, and contain 93-95% of the total SNPs. Furthermore, the frequencies of all alleles and genotypes in the whole set were very well retained in the core set and mini-core set. The 415 accessions were clustered into 14 groups and the core and the mini-core collections contain accessions from each group, species, cultivation status and growth habit. By analyzing the significant SNP markers associated with multiple traits, nine SNPs were found to be significantly associated with four leaf size traits, namely MLL, MLW, MLA and MLSI (P < 1.655E-06). This study characterized the genetic distance and relationship of tea collections, suggested the core collections, an d established an efficient GWAS analysis of GBS result.

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