Genome-wide association study identified genetic variations and candidate genes for plant architecture component traits in Chinese upland cotton
文献类型: 外文期刊
作者:
Su, Junji
1
;
Li, Libei
1
;
Zhang, Chi
1
;
Wang, Caixiang
1
;
Gu, Lijiao
1
;
Wang, Hantao
1
;
Wei, Hengling
1
;
Liu, Qibao
1
;
Huang, Long
1
;
Yu, Shuxun
3
;
作者机构: 1.State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, China;Cotton Research Institute, Xinjiang Academy of Agricultural and Reclamation Science/Northwest Inland Region Key Laboratory of Cotton Biology and Genetic Breeding, Ministry of Agriculture, Shihezi, China
2.State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, China
3.CAAS, Inst Cotton Res, State Key Lab Cotton Biol, Anyang, Peoples R China
4.Shanghai Majorbio Bio-pharm Biotechnology Co. Ltd., Shanghai, China
期刊名称:THEORETICAL AND APPLIED GENETICS ( 影响因子:5.699; 五年影响因子:5.565 )
ISSN: 0040-5752
年卷期: 2018 年 131 卷 6 期
页码:
收录情况: SCI
摘要: Key message Thirty significant associations between 22 SNPs and five plant architecture component traits in Chinese upland cotton were identified via GWAS. Four peak SNP loci located on chromosome D03 were simultaneously associated with more plant architecture component traits. A candidate gene, Gh_D03G0922, might be responsible for plant height in upland cotton. Abstract A compact plant architecture is increasingly required for mechanized harvesting processes in China. Therefore, cotton plant architecture is an important trait, and its components, such as plant height, fruit branch length and fruit branch angle, affect the suitability of a cultivar for mechanized harvesting. To determine the genetic basis of cotton plant architecture, a genome-wide association study (GWAS) was performed using a panel composed of 355 accessions and 93,250 single nucleotide polymorphisms (SNPs) identified using the specific-locus amplified fragment sequencing method. Thirty significant associations between 22 SNPs and five plant architecture component traits were identified via GWAS. Most importantly, four peak SNP loci located on chromosome D03 were simultaneously associated with more plant architecture component traits, and these SNPs were harbored in one linkage disequilibrium block. Furthermore, 21 candidate genes for plant architecture were predicted in a 0.95-Mb region including the four peak SNPs. One of these genes (Gh_D03G0922) was near the significant SNP D03_31584163 (8.40 kb), and its Arabidopsis homologs contain MADS-box domains that might be involved in plant growth and development. qRT-PCR showed that the expression of Gh_D03G0922 was upregulated in the apical buds and young leaves of the short and compact cotton varieties, and virus-induced gene silencing (VIGS) proved that the silenced plants exhibited increased PH. These results indicate that Gh_D03G0922 is likely the candidate gene for PH in cotton. The genetic variations and candidate genes identified in this study lay a foundation for cultivating moderately short and compact varieties in future Chinese cotton-breeding programs.
- 相关文献
作者其他论文 更多>>
-
Genetic Detection of Lint Percentage Applying Single-Locus and Multi-Locus Genome-Wide Association Studies in Chinese Early-Maturity Upland Cotton
作者:Junji Su;Caixiang Wang;Fushun Hao;Qi Ma;Ji Wang;Jilian Li;Xinzhu Ning
关键词:upland cotton; lint percentage; early maturity; genome-wide association studies; quantitative trait nucleotides; candidate genes
-
Multi-Locus Genome-Wide Association Studies of Fiber-Quality Related Traits in Chinese Early-Maturity Upland Cotton
作者:Junji Su;Qi Ma;Mei Li;Fushun Hao;Caixiang Wang
关键词:upland cotton; fiber quality; early maturity; multi-locus GWAS; candidate genes
-
Identification of favorable SNP alleles and candidate genes for traits related to early maturity via GWAS in upland cotton
作者:Junji Su;Chaoyou Pang;Hengling Wei;Libei Li;Bing Liang;Caixiang Wang;Meizhen Song;Hantao Wang;Shuqi Zhao;Xiaoyun Jia;Guangzhi Mao;Long Huang;Dandan Geng;Chengshe Wang;Shuli Fan
关键词:Gossypium hirsutum L;GWAS;SLAF-seq;Early maturity traits;Candidate gene;SNP alleles