Literature DB >> 22902072

What is needed for next-generation ecological and evolutionary genomics?

Scott A Pavey1, Louis Bernatchez, Nadia Aubin-Horth, Christian R Landry.   

Abstract

Ecological and evolutionary genomics (EEG) aims to link gene functions and genomic features to phenotypes and ecological factors. Although the rapid development of technologies allows central questions to be addressed at an unprecedented level of molecular detail, they do not alleviate one of the major challenges of EEG, which is that a large fraction of genes remains without any annotation. Here, we propose two solutions to this challenge. The first solution is in the form of a database that regroups associations between genes, organismal attributes and abiotic and biotic conditions. This database would result in an ecological annotation of genes by allowing cross-referencing across studies and taxa. Our second solution is to use new functional techniques to characterize genes implicated in the response to ecological challenges.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22902072     DOI: 10.1016/j.tree.2012.07.014

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  19 in total

1.  Transcriptome resources for the white-footed mouse (Peromyscus leucopus): new genomic tools for investigating ecologically divergent urban and rural populations.

Authors:  Stephen E Harris; Rachel J O'Neill; Jason Munshi-South
Journal:  Mol Ecol Resour       Date:  2014-07-16       Impact factor: 7.090

Review 2.  No boundaries: genomes, organisms, and ecological interactions responsible for divergence and reproductive isolation.

Authors:  William J Etges
Journal:  J Hered       Date:  2014       Impact factor: 2.645

3.  Eigenvector metabolite analysis reveals dietary effects on the association among metabolite correlation patterns, gene expression, and phenotypes.

Authors:  Clare H Scott Chialvo; Ronglin Che; David Reif; Alison Motsinger-Reif; Laura K Reed
Journal:  Metabolomics       Date:  2016-09-20       Impact factor: 4.290

4.  Characterization, Selection, and Trans-Species Polymorphism in the MHC Class II of Heermann's Gull (Charadriiformes).

Authors:  Misael Daniel Mancilla-Morales; Enriqueta Velarde; Araceli Contreras-Rodríguez; Zulema Gómez-Lunar; Jesús A Rosas-Rodríguez; Joseph Heras; José G Soñanez-Organis; Enrico A Ruiz
Journal:  Genes (Basel)       Date:  2022-05-20       Impact factor: 4.141

Review 5.  Opportunities and limitations of reduced representation bisulfite sequencing in plant ecological epigenomics.

Authors:  Ovidiu Paun; Koen J F Verhoeven; Christina L Richards
Journal:  New Phytol       Date:  2018-08-19       Impact factor: 10.151

6.  RNA-seq analysis reveals extensive transcriptional plasticity to temperature stress in a freshwater fish species.

Authors:  Steve Smith; Louis Bernatchez; Luciano B Beheregaray
Journal:  BMC Genomics       Date:  2013-06-05       Impact factor: 3.969

Review 7.  Towards the identification of the loci of adaptive evolution.

Authors:  Carolina Pardo-Diaz; Camilo Salazar; Chris D Jiggins
Journal:  Methods Ecol Evol       Date:  2015-02-12       Impact factor: 7.781

8.  Applying evolutionary concepts to wildlife disease ecology and management.

Authors:  Eric Vander Wal; Dany Garant; Sophie Calmé; Colin A Chapman; Marco Festa-Bianchet; Virginie Millien; Sébastien Rioux-Paquette; Fanie Pelletier
Journal:  Evol Appl       Date:  2014-05-31       Impact factor: 5.183

9.  Transcriptomic responses to emamectin benzoate in Pacific and Atlantic Canada salmon lice Lepeophtheirus salmonis with differing levels of drug resistance.

Authors:  Ben J G Sutherland; Jordan D Poley; Okechukwu O Igboeli; Johanna R Jantzen; Mark D Fast; Ben F Koop; Simon R M Jones
Journal:  Evol Appl       Date:  2014-12-22       Impact factor: 5.183

10.  The transcriptomic basis of oviposition behaviour in the parasitoid wasp Nasonia vitripennis.

Authors:  Bart A Pannebakker; Urmi Trivedi; Mark L Blaxter; Mark A Blaxter; Rebekah Watt; David M Shuker
Journal:  PLoS One       Date:  2013-07-19       Impact factor: 3.240

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