Identification of candidate genes controlling fiber quality traits in upland cotton through integration of meta-QTL, significant SNP and transcriptomic data

Identification of candidate genes controlling fiber quality traits in upland cotton through integration of meta-QTL, significant SNP and transcriptomic data

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 u...

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Bibliographic Details
Main Authors: Shudi XU, Zhenyuan PAN, Feifan YIN, Qingyong YANG, Zhongxu LIN, Tianwang WEN, Longfu ZHU, Dawei ZHANG, Xinhui NIE
Format: Article
Language:English
Published: BMC 2020-12-01
Series:Journal of Cotton Research
Subjects:
Fiber quality traits
Meta-QTL
Significant SNPs
Candidate genes
Transcriptomic data
Online Access:https://doi.org/10.1186/s42397-020-00075-z

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