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Two genomic regions associated with fiber quality traits in Chinese upland cotton under apparent breeding selection.
Su, Junji; Li, Libei; Pang, Chaoyou; Wei, Hengling; Wang, Caixiang; Song, Meizhen; Wang, Hantao; Zhao, Shuqi; Zhang, Chi; Mao, Guangzhi; Huang, Long; Wang, Chengshe; Fan, Shuli; Yu, Shuxun.
  • Su J; State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
  • Li L; College of Agronomy, Northwest A&F University, 712100 Yangling, China.
  • Pang C; State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
  • Wei H; State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
  • Wang C; State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
  • Song M; State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
  • Wang H; State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
  • Zhao S; State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
  • Zhang C; State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
  • Mao G; State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
  • Huang L; State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
  • Wang C; Bioinformatics Division, Biomarker Technologies Corporation, 101300 Beijing, China.
  • Fan S; College of Agronomy, Northwest A&F University, 712100 Yangling, China.
  • Yu S; State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, 455000, Anyang, China.
Sci Rep ; 6: 38496, 2016 12 07.
Article en En | MEDLINE | ID: mdl-27924947
ABSTRACT
Fiber quality is one of the most important agronomic traits of cotton, and understanding the genetic basis of its target traits will accelerate improvements to cotton fiber quality. In this study, a panel comprising 355 upland cotton accessions was used to perform genome-wide association studies (GWASs) of five fiber quality traits in four environments. A total of 16, 10 and 7 SNPs were associated with fiber length (FL), fiber strength (FS) and fiber uniformity (FU), respectively, based on the mixed linear model (MLM). Most importantly, two major genomic regions (MGR1 and MGR2) on chromosome Dt7 and four potential candidate genes for FL were identified. Analyzing the geographical distribution of favorable haplotypes (FHs) among these lines revealed that two favorable haplotype frequencies (FHFs) were higher in accessions from low-latitude regions than in accessions from high-latitude regions. However, the genetic diversity of lines from the low-latitude regions was lower than the diversity of lines from the high-latitude regions in China. Furthermore, the FHFs differed among cultivars developed during different breeding periods. These results indicate that FHs have undergone artificial selection during upland cotton breeding in recent decades in China and provide a foundation for the further improvement of fiber quality traits.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Cruzamiento / Ecosistema / Genoma de Planta / Carácter Cuantitativo Heredable / Gossypium / Fibra de Algodón Tipo de estudio: Prognostic_studies / Risk_factors_studies País como asunto: Asia Idioma: En Año: 2016 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Cruzamiento / Ecosistema / Genoma de Planta / Carácter Cuantitativo Heredable / Gossypium / Fibra de Algodón Tipo de estudio: Prognostic_studies / Risk_factors_studies País como asunto: Asia Idioma: En Año: 2016 Tipo del documento: Article