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QTL mapping and the genetic basis of adaptation: recent developments

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Abstract

Quantitative trait loci (QTL) mapping has been used in a number of evolutionary studies to study the genetic basis of adaptation by mapping individual QTL that explain the differences between differentiated populations and also estimating their effects and interaction in the mapping population. This analysis can provide clues about the evolutionary history of populations and causes of the population differentiation. QTL mapping analysis methods and associated computer programs provide us tools for such an inference on the genetic basis and architecture of quantitative trait variation in a mapping population. Current methods have the capability to separate and localize multiple QTL and estimate their effects and interaction on a quantitative trait. More recent methods have been targeted to provide a comprehensive inference on the overall genetic architecture of multiple traits in a number of environments. This development is important for evolutionary studies on the genetic basis of multiple trait variation, genotype by environment interaction, host–parasite interaction, and also microarray gene expression QTL analysis.

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Abbreviations

CIM:

composite interval mapping

EM:

expectation and maximization algorithm

IM:

interval mapping

MIM:

multiple interval mapping

QTL:

quantitative trait loci

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  1. Departments of Statistics and Genetics & Bioinformatics Research Center, North Carolina State University, NC, 27695-7566, Raleigh, USA

    Zhao-Bang Zeng

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  1. Zhao-Bang Zeng
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Correspondence to Zhao-Bang Zeng.

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Zeng, ZB. QTL mapping and the genetic basis of adaptation: recent developments. Genetica 123, 25–37 (2005). https://doi.org/10.1007/s10709-004-2705-0

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  • DOI: https://doi.org/10.1007/s10709-004-2705-0

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