An Improved Approach for Mapping Quantitative Trait Loci in a Pseudo-Testcross: Revisiting a Poplar Mapping Study

Journal Article · Fri Jan 01 04:00:00 EST 2010 · Bioinformatics and Biology Insights

OSTI ID:978828

Tuskan, Gerald A ^[1]; Yin, Tongming ^[1]; Wullschleger, Stan D ^[1]; Yang, Jie ^[2]; Wu, Song ^[3]; Huang, Youjun ^[4]; Li, Yao ^[5]; Wu, Rongling ^[1]

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1. ORNL
2. Beijing National Laboratory for Condensed Matter Physics/Chinese Academy of Scie
3. St. Jude Children's Research Hospital
4. Zhejiang Forestry University
5. West Virginia University

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.

• Research Organization: Oak Ridge National Laboratory (ORNL)
• Sponsoring Organization: ORNL work for others
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 978828
• Journal Information: Bioinformatics and Biology Insights, Journal Name: Bioinformatics and Biology Insights
• Country of Publication: United States
• Language: English

Related Subjects

09 BIOMASS FUELS
BIOMASS
DESIGN
GENETICS
POPLARS
TREES