Literature DB >> 11331903

Mapping quantitative trait loci in plants: uses and caveats for evolutionary biology.

R Mauricio1.   

Abstract

Gregor Mendel was either clever or lucky enough to study traits of simple inheritance in his pea plants; however, many plant characters of interest to modern geneticists are decidedly complex. Understanding the genetic basis of such complex, or quantitative, traits requires a combination of modern molecular genetic techniques and powerful statistical methods. These approaches have begun to give us insight into understanding the evolution of complex traits both in crops and in wild plants.

Mesh:

Year:  2001        PMID: 11331903     DOI: 10.1038/35072085

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  69 in total

1.  Simultaneous mining of linkage and linkage disequilibrium to fine map quantitative trait loci in outbred half-sib pedigrees: revisiting the location of a quantitative trait locus with major effect on milk production on bovine chromosome 14.

Authors:  Frédéric Farnir; Bernard Grisart; Wouter Coppieters; Juliette Riquet; Paulette Berzi; Nadine Cambisano; Latifa Karim; Myriam Mni; Sirja Moisio; Patricia Simon; Danny Wagenaar; Johanna Vilkki; Michel Georges
Journal:  Genetics       Date:  2002-05       Impact factor: 4.562

2.  Molecular dissection of a quantitative trait locus: a phenylalanine-to-tyrosine substitution in the transmembrane domain of the bovine growth hormone receptor is associated with a major effect on milk yield and composition.

Authors:  Sarah Blott; Jong-Joo Kim; Sirja Moisio; Anne Schmidt-Küntzel; Anne Cornet; Paulette Berzi; Nadine Cambisano; Christine Ford; Bernard Grisart; Dave Johnson; Latifa Karim; Patricia Simon; Russell Snell; Richard Spelman; Jerry Wong; Johanna Vilkki; Michel Georges; Frédéric Farnir; Wouter Coppieters
Journal:  Genetics       Date:  2003-01       Impact factor: 4.562

3.  Functional mapping of quantitative trait loci underlying the character process: a theoretical framework.

Authors:  Chang-Xing Ma; George Casella; Rongling Wu
Journal:  Genetics       Date:  2002-08       Impact factor: 4.562

4.  Haplotype sharing refines the location of an imprinted quantitative trait locus with major effect on muscle mass to a 250-kb chromosome segment containing the porcine IGF2 gene.

Authors:  Carine Nezer; Catherine Collette; Laurence Moreau; Benoît Brouwers; Jong-Joo Kim; Elisabetta Giuffra; Nadine Buys; Leif Andersson; Michel Georges
Journal:  Genetics       Date:  2003-09       Impact factor: 4.562

5.  Epistasis for fitness-related quantitative traits in Arabidopsis thaliana grown in the field and in the greenhouse.

Authors:  Russell L Malmberg; Stephanie Held; Ashleigh Waits; Rodney Mauricio
Journal:  Genetics       Date:  2005-09-12       Impact factor: 4.562

Review 6.  Parallel genotypic adaptation: when evolution repeats itself.

Authors:  Troy E Wood; John M Burke; Loren H Rieseberg
Journal:  Genetica       Date:  2005-02       Impact factor: 1.082

7.  Genetic architecture of leaf ecophysiological traits in Helianthus.

Authors:  Larry C Brouillette; David M Rosenthal; Loren H Rieseberg; Christian Lexer; Russell L Malmberg; Lisa A Donovan
Journal:  J Hered       Date:  2007-01-05       Impact factor: 2.645

8.  Genome scan to detect genetic structure and adaptive genes of natural populations of Cryptomeria japonica.

Authors:  Yoshihiko Tsumura; Tomoyuki Kado; Tomokazu Takahashi; Naoki Tani; Tokuko Ujino-Ihara; Hiroyoshi Iwata
Journal:  Genetics       Date:  2007-06-11       Impact factor: 4.562

9.  Hybrid zones as a tool for identifying adaptive genetic variation in outbreeding forest trees: lessons from wild annual sunflowers (Helianthus spp.).

Authors:  Christian Lexer; Berthold Heinze; Ricardo Alia; Loren H Rieseberg
Journal:  For Ecol Manage       Date:  2004-08       Impact factor: 3.558

10.  Precision-mapping and statistical validation of quantitative trait loci by machine learning.

Authors:  Justin Bedo; Peter Wenzl; Adam Kowalczyk; Andrzej Kilian
Journal:  BMC Genet       Date:  2008-05-02       Impact factor: 2.797

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