Literature DB >> 20688277

Evolutionary genomics of C4 photosynthesis in grasses requires a large species sampling.

Guillaume Besnard1, Pascal-Antoine Christin.   

Abstract

Recent advances in genomics open promising opportunities to investigate adaptive trait evolution at the molecular level. However, the accuracy of comparative genomic studies strongly relies on the taxonomic coverage, which can be insufficient when based solely on a few completely sequenced genomes. In particular, when distantly-related genomes are compared, orthology of some genes can be misidentified and long branches of the phylogenetic reconstructions make inappropriate positive selection tests, as recently exemplified with investigations on the evolution of the C(4) photosynthetic pathway in grasses. Complementary studies addressing the diversification of multigene families in a broad taxonomic sample can help circumvent these issues. Copyright 2010 Académie des sciences. Published by Elsevier SAS. All rights reserved.

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Year:  2010        PMID: 20688277     DOI: 10.1016/j.crvi.2010.03.011

Source DB:  PubMed          Journal:  C R Biol        ISSN: 1631-0691            Impact factor:   1.583


  3 in total

Review 1.  The recurrent assembly of C4 photosynthesis, an evolutionary tale.

Authors:  Pascal-Antoine Christin; Colin P Osborne
Journal:  Photosynth Res       Date:  2013-05-24       Impact factor: 3.573

2.  Gains and losses of metabolic function inferred from a phylotranscriptomic analysis of algae.

Authors:  Falicia Qi Yun Goh; Justin Jeyakani; Phornpimon Tipthara; Amaury Cazenave-Gassiot; Rajoshi Ghosh; Nicholas Bogard; Zhenxuan Yeo; Gane Ka-Shu Wong; Michael Melkonian; Markus R Wenk; Neil D Clarke
Journal:  Sci Rep       Date:  2019-07-19       Impact factor: 4.379

3.  Phylogeny-based comparative methods question the adaptive nature of sporophytic specializations in mosses.

Authors:  Sanna Huttunen; Sanna Olsson; Volker Buchbender; Johannes Enroth; Lars Hedenäs; Dietmar Quandt
Journal:  PLoS One       Date:  2012-10-30       Impact factor: 3.240

  3 in total

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