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AAQSP increases mapping resolution of stable QTLs through applying NGS-BSA in multiple genetic backgrounds.

Xiaoyu WangXiaowei ZhangDaoran FanJuwu GongShaoqi LiYujie GaoAiying LiuLinjie LiuXiaoying DengYuzhen ShiHaihong ShangYuanming ZhangYoulu Yuan
Published in: TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik (2022)
individuals still maintain high heterozygosity, heterosis will exert complications in pursuing NGS-BSA in such populations. In addition, the genetic background influences the stability of gene expression in crops, so some QTLs mapped in one segregating population may not be widely applied in crop improvement. The AAQSP (Association Analysis of QTL-seq on Semi-homologous Populations) reported in our study combines the optimized scheme of constructing BSA bulks with NGS-BSA analysis in two (or more) different parental genetic backgrounds for isolating the stable QTLs. With application of AAQSP strategy and construction of a high-density linkage map, we have successfully identified a QTL significantly related to lint percentage (LP) in cultivated upland cotton, followed by map-based cloning to dissect two candidate genes, GhPAP16 and GhIQD14. This study demonstrated that AAQSP can efficiently identify stable QTLs for complex traits of interest, and thus accelerate the genetic improvement of upland cotton and other crop plants.
Keyphrases
  • high density
  • genome wide
  • gene expression
  • dna methylation
  • copy number
  • climate change
  • risk factors
  • high resolution
  • genetic diversity