| Autor: |
Zhou, Yuanyuan Wang, Xinlei Guo, Xiaoyan Cai, Yanchao Xu, Runrun Sun, Muhammad Jawad Umer, Kunbo Wang, Tengfei Qin, Yuqing Hou, Yuhong Wang, Pan Zhang, Zihan Wang, Fang Liu, Qinglian Wang, Zhongli |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
International Journal of Molecular Sciences; Volume 24; Issue 12; Pages: 10404 |
| ISSN: |
1422-0067 |
| DOI: |
10.3390/ijms241210404 |
| Popis: |
Lint percentage is one of the most essential yield components and an important economic index for cotton planting. Improving lint percentage is an effective way to achieve high-yield in cotton breeding worldwide, especially upland cotton (Gossypium hirsutum L.). However, the genetic basis controlling lint percentage has not yet been systematically understood. Here, we performed a genome-wide association mapping for lint percentage using a natural population consisting of 189 G. hirsutum accessions (188 accessions of G. hirsutum races and one cultivar TM-1). The results showed that 274 single-nucleotide polymorphisms (SNPs) significantly associated with lint percentage were detected, and they were distributed on 24 chromosomes. Forty-five SNPs were detected at least by two models or at least in two environments, and their 5 Mb up- and downstream regions included 584 makers related to lint percentage identified in previous studies. In total, 11 out of 45 SNPs were detected at least in two environments, and their 550 Kb up- and downstream region contained 335 genes. Through RNA sequencing, gene annotation, qRT-PCR, protein–protein interaction analysis, the cis-elements of the promotor region, and related miRNA prediction, Gh_D12G0934 and Gh_A08G0526 were selected as key candidate genes for fiber initiation and elongation, respectively. These excavated SNPs and candidate genes could supplement marker and gene information for deciphering the genetic basis of lint percentage and facilitate high-yield breeding programs of G. hirsutum ultimately. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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