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

Author:

Niu Suzhen12,Koiwa Hisashi3,Song Qinfei2,Qiao Dahe1,Chen Juan1,Zhao Degang1,Chen Zhengwu1,Wang Ying4,Zhang Tianyuan4

Affiliation:

1. Guiyang Station for DUS Testing Center of New Plant Varteties (MOA) / Institute of Tea, Guizhou Academy of Agricultural Sciences, Guiyang, China

2. The Key Laboratory of Plant Resources Conservation and Germplasm Innovationin Mountainous Region (Ministry of Education), Institute of Agro-Bioengineering / College of Tea Science, Guizhou University, Guiyang, China

3. Vegetable and Fruit Improvement Center, Department of Horticultural Sciences, Molecular and Environmental Plant Sciences Program, Texas A&M University, College Station, Texas, USA

4. Wuhan Benagen Tech Solutions Company Limited, Wuhan, China

Abstract

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, and established an efficient GWAS analysis of GBS result.

Funder

National Science Foundation of China

Science and Technology Plan Project of Guizhou province

USDA-NIFA SCRI grant

Guizhou Top Level Innovation Talents Cultivation Project

Talent Base for Germplasm Resources Utilization and Innovation of Characteristic Plant in Guizhou

Genetically Breeding Major Project of the Ministry of Agriculture of China

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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