Identification of candidate genes controlling fiber quality …

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2020
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  • DOI 10.1186/s42397-020-00075-z
  • OpenAlex ID W3111535761
  • Type Article
  • Language EN
  • Published 01 Dec 2020
  • Volume 3 (1)
  • Source Journal of Cotton Research
  • Publisher BioMed Central
  • FWCI 1.16
  • Countries 1
  • Institutions 3
  • Added 10 Oct 2025
  • Updated 08 Oct 2026
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Identification of candidate genes controlling fiber quality traits in upland cotton through integration of meta-QTL, significant SNP and transcriptomic data

Article 2020 EN Diamond

Abstract Background Meta-analysis of quantitative trait locus (QTL) is a computational technique to identify consensus QTL and refine QTL positions on the consensus map from multiple mapping studies. The combination of meta-QTL intervals, significant SNPs and transcriptome analysis has been widely used to identify candidate genes in various plants. Results In our study, 884 QTLs associated with co…

17

Citations

105

References

9

Authors

1.16

FWCI

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Authors & Affiliations
9 authors
#AuthorInstitutionsORCID
1 XU Shudi Shihezi University (CN) —
2 Zhenyuan Pan Shihezi University (CN)
3 Feifan YIN Huazhong Agricultural Universi… (CN) —
4 Qingyong Yang Shihezi University (CN) Huazhong Agricultural Universi… (CN)
5 Zhongxu Lin Shihezi University (CN)
6 Tianwang Wen Huazhong Agricultural Universi… (CN)
7 Longfu Zhu Shihezi University (CN)
8 Dawei Zhang Corresponding Xinjiang Academy of Agricultur… (CN)
9 Xinhui Nie Shihezi University (CN)

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