An improved approach for mapping quantitative trait loci in a pseudo-testcross: Revisiting a poplar mapping study

Song Wu, Jie Yang, Youjun Huang, Yao Li, Tongming Yin, Stan D. Wullschleger, Gerald A. Tuskan, Rongling Wu

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

A pseudo-testcross pedigree is widely used for mapping quantitative trait loci (QTL) in outcrossing species, but the model for analyzing pseudo-testcross data borrowed from the inbred backcross design can only detect those QTLs that are heterozygous only in one parent. In this study, an intercross model that incorporates the high heterozygosity and phase uncertainty of outcrossing species was used to reanalyze a published data set on QTL mapping in poplar trees. Several intercross QTLs that are heterozygous in both parents were detected, which are responsible not only for biomass traits, but also for their genetic correlations. This study provides a more complete identification of QTLs responsible for economically important biomass traits in poplars.

Original languageEnglish (US)
Pages (from-to)1-8
Number of pages8
JournalBioinformatics and Biology Insights
Volume4
DOIs
StatePublished - 2010

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Mathematics
  • Applied Mathematics

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