Literature DB >> 21642159

The molecular genetic basis of plant adaptation.

Ian M Ehrenreich1, Michael D Purugganan.   

Abstract

How natural selection on adaptive traits is filtered to the genetic level remains largely unknown. Theory and quantitative trait locus (QTL) mapping have provided insights into the number and effect of genes underlying adaptations, but these results have been hampered by questions of applicability to real biological systems and poor resolution, respectively. Advances in molecular technologies have expedited the cloning of adaptive genes through both forward and reverse genetic approaches. Forward approaches start with adaptive traits and attempt to characterize their underlying genetic architectures through linkage disequilibrium mapping, QTL mapping, and other methods. Reverse screens search large sequence data sets for genes that possess the signature of selection. Though both approaches have been successful in identifying adaptive genes in plants, very few, if any, of these adaptations' molecular bases have been fully resolved. The continued isolation of plant adaptive genes will lead to a more comprehensive understanding of natural selection's effect on genes and genomes.

Year:  2006        PMID: 21642159     DOI: 10.3732/ajb.93.7.953

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


  15 in total

1.  Structure, allelic diversity and selection of Asr genes, candidate for drought tolerance, in Oryza sativa L. and wild relatives.

Authors:  Romain Philippe; Brigitte Courtois; Kenneth L McNally; Pierre Mournet; Redouane El-Malki; Marie Christine Le Paslier; Denis Fabre; Claire Billot; Dominique Brunel; Jean-Christophe Glaszmann; Dominique This
Journal:  Theor Appl Genet       Date:  2010-05-08       Impact factor: 5.699

2.  Genomic rearrangements and the evolution of clusters of locally adaptive loci.

Authors:  Sam Yeaman
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-22       Impact factor: 11.205

3.  Retention of triplicated phytoene synthase (PSY) genes in Brassica napus L. and its diploid progenitors during the evolution of the Brassiceae.

Authors:  Pablo D Cárdenas; Humberto A Gajardo; Terry Huebert; Isobel A Parkin; Federico L Iniguez-Luy; María L Federico
Journal:  Theor Appl Genet       Date:  2012-01-13       Impact factor: 5.699

4.  Myosin XI is associated with fitness and adaptation to aridity in wild pearl millet.

Authors:  I S Ousseini; Y Bakasso; N A Kane; M Couderc; L Zekraoui; C Mariac; D Manicacci; B Rhoné; A Barnaud; C Berthouly-Salazar; A Assoumane; D Moussa; T Moussa; Y Vigouroux
Journal:  Heredity (Edinb)       Date:  2017-03-15       Impact factor: 3.821

5.  Sources of variation in self-incompatibility in the Australian forest tree, Eucalyptus globulus.

Authors:  Marian H McGowen; René E Vaillancourt; David J Pilbeam; Brad M Potts
Journal:  Ann Bot       Date:  2010-03-12       Impact factor: 4.357

Review 6.  Measuring natural selection on genotypes and phenotypes in the wild.

Authors:  C R Linnen; H E Hoekstra
Journal:  Cold Spring Harb Symp Quant Biol       Date:  2010-04-22

7.  Evolutionary and Ecological Genomics of Non-Model Plants.

Authors:  Bao-Hua Song; Thomas Mitchell-Olds
Journal:  J Syst Evol       Date:  2011-01-01       Impact factor: 4.098

8.  Antagonistic pleiotropic effects reduce the potential adaptive value of the FRIGIDA locus.

Authors:  Nora Scarcelli; James M Cheverud; Barbara A Schaal; Paula X Kover
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-16       Impact factor: 11.205

9.  Elevated carbon dioxide concentrations indirectly affect plant fitness by altering plant tolerance to herbivory.

Authors:  Jennifer A Lau; Peter Tiffin
Journal:  Oecologia       Date:  2009-06-06       Impact factor: 3.225

10.  Coexistence of trichome variation in a natural plant population: a combined study using ecological and candidate gene approaches.

Authors:  Tetsuhiro Kawagoe; Kentaro K Shimizu; Tetsuji Kakutani; Hiroshi Kudoh
Journal:  PLoS One       Date:  2011-07-19       Impact factor: 3.240

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