Literature DB >> 15881678

QTL mapping and the genetic basis of adaptation: recent developments.

Zhao-Bang Zeng1.   

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.

Mesh:

Year:  2005        PMID: 15881678     DOI: 10.1007/s10709-004-2705-0

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  5 in total

1.  A computational model of teeth and the developmental origins of morphological variation.

Authors:  Isaac Salazar-Ciudad; Jukka Jernvall
Journal:  Nature       Date:  2010-03-10       Impact factor: 49.962

2.  Quantitative trait loci for grain yield and adaptation of durum wheat (Triticum durum Desf.) across a wide range of water availability.

Authors:  Marco Maccaferri; Maria Corinna Sanguineti; Simona Corneti; José Luis Araus Ortega; Moncef Ben Salem; Jordi Bort; Enzo DeAmbrogio; Luis Fernando Garcia del Moral; Andrea Demontis; Ahmed El-Ahmed; Fouad Maalouf; Hassan Machlab; Vanessa Martos; Marc Moragues; Jihan Motawaj; Miloudi Nachit; Nasserlehaq Nserallah; Hassan Ouabbou; Conxita Royo; Amor Slama; Roberto Tuberosa
Journal:  Genetics       Date:  2008-01       Impact factor: 4.562

3.  Mapping of Mcs30, a new mammary carcinoma susceptibility quantitative trait locus (QTL30) on rat chromosome 12: identification of fry as a candidate Mcs gene.

Authors:  Xuefeng Ren; Jessica C Graham; Lichen Jing; Andrei M Mikheev; Yuan Gao; Jenny Pan Lew; Hong Xie; Andrea S Kim; Xiuling Shang; Cynthia Friedman; Graham Vail; Ming Zhu Fang; Yana Bromberg; Helmut Zarbl
Journal:  PLoS One       Date:  2013-09-02       Impact factor: 3.240

4.  Gene-Environment Interactions in Stress Response Contribute Additively to a Genotype-Environment Interaction.

Authors:  Takeshi Matsui; Ian M Ehrenreich
Journal:  PLoS Genet       Date:  2016-07-20       Impact factor: 5.917

5.  Multi-locus Genotypes Underlying Temperature Sensitivity in a Mutationally Induced Trait.

Authors:  Jonathan T Lee; Matthew B Taylor; Amy Shen; Ian M Ehrenreich
Journal:  PLoS Genet       Date:  2016-03-18       Impact factor: 5.917

  5 in total

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