Literature DB >> 21085205

Towards identifying genes underlying ecologically relevant traits in Arabidopsis thaliana.

Joy Bergelson1, Fabrice Roux.   

Abstract

A major challenge in evolutionary biology and plant breeding is to identify the genetic basis of complex quantitative traits, including those that contribute to adaptive variation. Here we review the development of new methods and resources to fine-map intraspecific genetic variation that underlies natural phenotypic variation in plants. In particular, the analysis of 107 quantitative traits reported in the first genome-wide association mapping study in Arabidopsis thaliana sets the stage for an exciting time in our understanding of plant adaptation. We also argue for the need to place phenotype-genotype association studies in an ecological context if one is to predict the evolutionary trajectories of plant species.

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Year:  2010        PMID: 21085205     DOI: 10.1038/nrg2896

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


  133 in total

1.  Molecular analysis of FRIGIDA, a major determinant of natural variation in Arabidopsis flowering time.

Authors:  U Johanson; J West; C Lister; S Michaels; R Amasino; C Dean
Journal:  Science       Date:  2000-10-13       Impact factor: 47.728

Review 2.  Mapping complex disease loci in whole-genome association studies.

Authors:  Christopher S Carlson; Michael A Eberle; Leonid Kruglyak; Deborah A Nickerson
Journal:  Nature       Date:  2004-05-27       Impact factor: 49.962

Review 3.  Quantitative trait locus analyses and the study of evolutionary process.

Authors:  David L Erickson; Charles B Fenster; Hans K Stenøien; Donald Price
Journal:  Mol Ecol       Date:  2004-09       Impact factor: 6.185

4.  Impact of initial pathogen density on resistance and tolerance in a polymorphic disease resistance gene system in Arabidopsis thaliana.

Authors:  Fabrice Roux; Liping Gao; Joy Bergelson
Journal:  Genetics       Date:  2010-02-08       Impact factor: 4.562

5.  The 1001 genomes project for Arabidopsis thaliana.

Authors:  Detlef Weigel; Richard Mott
Journal:  Genome Biol       Date:  2009-05-27       Impact factor: 13.583

6.  Quantitative fitness effects of infection in a gene-for-gene system.

Authors:  Liping Gao; Fabrice Roux; Joy Bergelson
Journal:  New Phytol       Date:  2009-07-29       Impact factor: 10.151

Review 7.  Next is now: new technologies for sequencing of genomes, transcriptomes, and beyond.

Authors:  Ryan Lister; Brian D Gregory; Joseph R Ecker
Journal:  Curr Opin Plant Biol       Date:  2009-01-20       Impact factor: 7.834

Review 8.  Molecular mechanisms of metal hyperaccumulation in plants.

Authors:  Nathalie Verbruggen; Christian Hermans; Henk Schat
Journal:  New Phytol       Date:  2009-03       Impact factor: 10.151

9.  Fitness consequences of infection of Arabidopsis thaliana with its natural bacterial pathogen Pseudomonas viridiflava.

Authors:  Erica M Goss; Joy Bergelson
Journal:  Oecologia       Date:  2006-12-16       Impact factor: 3.298

10.  Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines.

Authors:  Susanna Atwell; Yu S Huang; Bjarni J Vilhjálmsson; Glenda Willems; Matthew Horton; Yan Li; Dazhe Meng; Alexander Platt; Aaron M Tarone; Tina T Hu; Rong Jiang; N Wayan Muliyati; Xu Zhang; Muhammad Ali Amer; Ivan Baxter; Benjamin Brachi; Joanne Chory; Caroline Dean; Marilyne Debieu; Juliette de Meaux; Joseph R Ecker; Nathalie Faure; Joel M Kniskern; Jonathan D G Jones; Todd Michael; Adnane Nemri; Fabrice Roux; David E Salt; Chunlao Tang; Marco Todesco; M Brian Traw; Detlef Weigel; Paul Marjoram; Justin O Borevitz; Joy Bergelson; Magnus Nordborg
Journal:  Nature       Date:  2010-03-24       Impact factor: 49.962

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  124 in total

1.  Flowering time in maize: linkage and epistasis at a major effect locus.

Authors:  Eléonore Durand; Sophie Bouchet; Pascal Bertin; Adrienne Ressayre; Philippe Jamin; Alain Charcosset; Christine Dillmann; Maud I Tenaillon
Journal:  Genetics       Date:  2012-01-31       Impact factor: 4.562

Review 2.  Natural variation in Arabidopsis: from molecular genetics to ecological genomics.

Authors:  Detlef Weigel
Journal:  Plant Physiol       Date:  2011-12-06       Impact factor: 8.340

3.  Genome-wide association analysis to identify chromosomal regions determining components of earliness in wheat.

Authors:  J Le Gouis; J Bordes; C Ravel; E Heumez; S Faure; S Praud; N Galic; C Remoué; F Balfourier; V Allard; M Rousset
Journal:  Theor Appl Genet       Date:  2011-11-08       Impact factor: 5.699

4.  Novel tools for an old lineage: Population genomics for cycads.

Authors:  Angelica Cibrián-Jaramillo; Thomas E Marler
Journal:  Commun Integr Biol       Date:  2011-07-01

5.  Genome-Wide Association Mapping and Genomic Prediction Elucidate the Genetic Architecture of Morphological Traits in Arabidopsis.

Authors:  Rik Kooke; Willem Kruijer; Ralph Bours; Frank Becker; André Kuhn; Henri van de Geest; Jaap Buntjer; Timo Doeswijk; José Guerra; Harro Bouwmeester; Dick Vreugdenhil; Joost J B Keurentjes
Journal:  Plant Physiol       Date:  2016-02-11       Impact factor: 8.340

6.  Association mapping, patterns of linkage disequilibrium and selection in the vicinity of the PHYTOCHROME C gene in pearl millet.

Authors:  Abdoul-Aziz Saïdou; Jérémy Clotault; Marie Couderc; Cédric Mariac; Katrien M Devos; Anne-Céline Thuillet; Ibrahim A Amoukou; Yves Vigouroux
Journal:  Theor Appl Genet       Date:  2013-10-10       Impact factor: 5.699

7.  Use of single nucleotide polymorphisms and haplotypes to identify genomic regions associated with protein content and water-soluble protein content in soybean.

Authors:  Dan Zhang; Guizhen Kan; Zhenbin Hu; Hao Cheng; Yu Zhang; Qing Wang; Hui Wang; Yuming Yang; Hongyan Li; Derong Hao; Deyue Yu
Journal:  Theor Appl Genet       Date:  2014-06-21       Impact factor: 5.699

8.  Genetic mapping of adaptation reveals fitness tradeoffs in Arabidopsis thaliana.

Authors:  Jon Ågrena; Christopher G Oakley; John K McKay; John T Lovell; Douglas W Schemske
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-09       Impact factor: 11.205

9.  Genome-wide association mapping combined with reverse genetics identifies new effectors of low water potential-induced proline accumulation in Arabidopsis.

Authors:  Paul E Verslues; Jesse R Lasky; Thomas E Juenger; Tzu-Wen Liu; M Nagaraj Kumar
Journal:  Plant Physiol       Date:  2013-11-11       Impact factor: 8.340

Review 10.  Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions.

Authors:  Sean Hoban; Joanna L Kelley; Katie E Lotterhos; Michael F Antolin; Gideon Bradburd; David B Lowry; Mary L Poss; Laura K Reed; Andrew Storfer; Michael C Whitlock
Journal:  Am Nat       Date:  2016-08-15       Impact factor: 3.926

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