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Identification of hub genes through co-expression network of major QTLs of fiber length and strength traits in multiple RIL populations of cotton.
Hafeez, Abdul; Razzaq, Abdul; Ahmed, Aijaz; Liu, Aiying; Qun, Ge; Junwen, Li; Shi, Yuzhen; Deng, Xiaoying; Zafar, Muhammad Mubashar; Ali, Arfan; Gong, Wankui; Yuan, Youlu.
Affiliation
  • Hafeez A; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China; Sindh Agriculture University Tandojam, 70060 Hyderabad, Sindh, Pakistan.
  • Razzaq A; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China.
  • Ahmed A; Sindh Agriculture University Tandojam, 70060 Hyderabad, Sindh, Pakistan.
  • Liu A; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China.
  • Qun G; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China.
  • Junwen L; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China.
  • Shi Y; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China.
  • Deng X; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China.
  • Zafar MM; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China.
  • Ali A; FB Genetics Four Brothers Group, Lahore, Pakistan.
  • Gong W; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China. Electronic address: gongwankui@caas.cn.
  • Yuan Y; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China. Electronic address: yuanyoulu@caas.cn.
Genomics ; 113(3): 1325-1337, 2021 05.
Article in En | MEDLINE | ID: mdl-33713821
The present study demonstrated a de novo correlation among fiber quality genes in multiple RIL populations including sGK9708 × 0-153, LMY22 × LY343 and Lumianyan28 × Xinluzao24. The current study was conducted to identify the major common QTLs including fiber length and strength, and to identify the co-expression networks of fiber length and strength QTLs harbored genes to target the hub genes. The RNA-seq data of sGK9708 × 0-153 population highlighted 50 and 48 candidate genes of fiber length and fiber strength QTLs. A total of 29 and 21 hub genes were identified in fiber length and strength co-expression network modules. The absolute values of correlation coefficient close to 1 resulted highly positive correlation among hub genes. Results also suggested that the gene correlation significantly influence the gene expression at different fiber development stages. These results might provide useful reference for further experiments in multiple RIL populations and suggest potential candidate genes for functional studies in cotton.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quantitative Trait Loci / Cotton Fiber Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Genomics Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quantitative Trait Loci / Cotton Fiber Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Genomics Year: 2021 Document type: Article