A genome-wide association study uncovers novel genomic regions and candidate genes of yield-related traits in upland cotton

作者：Sun, Zhengwen; Wang, Xingfen; Liu, Zhengwen; Gu, Qishen; Zhang, Yan; Li, Zhikun; Ke, Huifeng; Yang, Jun; Wu, Jinhua; Wu, Liqiang; Zhang, Guiyin; Zhang, Caiying^*; Ma, Zhiying^*

来源：Theoretical and Applied Genetics, 2018, 131(11): 2413-2425.

DOI：10.1007/s00122-018-3162-y

• FIBER QUALITY TRAITS
• GOSSYPIUM-HIRSUTUM L.
• FLOWERING TIME
• MOLECULAR DIVERSITY
• NATURAL VARIATION
• COMPLEX TRAITS
• ARCHITECTURE
• ARABIDOPSIS
• QTL
• POPULATION

Key messageA total of 62 SNPs associated with yield-related traits were identified by a GWAS. Based on significant SNPs, two candidate genes pleiotropically increase lint yield.AbstractImproved fibre yield is considered a constant goal of upland cotton (Gossypium hirsutum) breeding worldwide, but the understanding of the genetic basis controlling yield-related traits remains limited. To better decipher the molecular mechanism underlying these traits, we conducted a genome-wide association study to determine candidate loci associated with six yield-related traits in a population of 719 upland cotton germplasm accessions; to accomplish this, we used 10,511 single-nucleotide polymorphisms (SNPs) genotyped by an Illumina CottonSNP63K array. Six traits, including the boll number, boll weight, lint percentage, fruit branch number, seed index and lint index, were assessed in multiple environments; large variation in all phenotypes was detected across accessions. We identified 62 SNP loci that were significantly associated with different traits on chromosomes A07, D03, D05, D09, D10 and D12. A total of 689 candidate genes were screened, and 27 of them contained at least one significant SNP. Furthermore, two genes (Gh_D03G1064 and Gh_D12G2354) that pleiotropically increase lint yield were identified. These identified SNPs and candidate genes provide important insights into the genetic control underlying high yields in G. hirsutum, ultimately facilitating breeding programmes of high-yielding cotton.

• 出版日期2018-11
• 单位河北农业大学