Mapping interspecific genetic architecture in a host-parasite interaction system

Yang, Jian, Wu, Weiren and Zhu, Jun (2008) Mapping interspecific genetic architecture in a host-parasite interaction system. Genetics, 178 3: 1737-1743. doi:doi:10.1534/genetics.107.081430

Author Yang, Jian
Wu, Weiren
Zhu, Jun
Title Mapping interspecific genetic architecture in a host-parasite interaction system
Journal name Genetics   Check publisher's open access policy
ISSN 0016-6731
Publication date 2008-03
Sub-type Article (original research)
DOI doi:10.1534/genetics.107.081430
Open Access Status
Volume 178
Issue 3
Start page 1737
End page 1743
Total pages 7
Place of publication Bethesda, MD, United States
Publisher Genetics Society of America
Language eng
Abstract Under a hypothesis that the host–parasite interaction system is governed by genome-for-genome inter- action, we propose a genetic model that integrates genetic information from both the host and parasite genomes. The model can be used for mapping quantitative trait loci (QTL) conferring the interaction between host and parasite and detecting interactions among these QTL. A one-dimensional genome-scan strategy is used to map QTL in both the host and parasite genomes simultaneously conditioned on se- lected pairs of markers controlling the background genetic variation; a two-dimensional genome-scan procedure is conducted to search for epistasis within the host and parasite genomes and interspecific QTL-by-QTL interactions between the host and parasite genomes. A permutation test is adopted to calculate the empirical threshold to control the experimentwise false-positive rate of detected QTL and QTL inter- actions. Monte Carlo simulations were conducted to examine the reliability and the efficiency of the proposed models and methods. Simulation results illustrated that our methods could provide reasonable estimates of the parameters and adequate powers for detecting QTL and QTL-by-QTL interactions.
Keyword Quantitative trait loci
Plant-disease resistance
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Brain Institute Publications
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Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
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