Literature DB >> 21498602

Adaptation to environmental temperature is a major determinant of molecular evolutionary rates in archaea.

Mathieu Groussin1, Manolo Gouy.   

Abstract

Methods to infer the ancestral conditions of life are commonly based on geological and paleontological analyses. Recently, several studies used genome sequences to gain information about past ecological conditions taking advantage of the property that the G+C and amino acid contents of bacterial and archaeal ribosomal DNA genes and proteins, respectively, are strongly influenced by the environmental temperature. The adaptation to optimal growth temperature (OGT) since the Last Universal Common Ancestor (LUCA) over the universal tree of life was examined, and it was concluded that LUCA was likely to have been a mesophilic organism and that a parallel adaptation to high temperature occurred independently along the two lineages leading to the ancestors of Bacteria on one side and of Archaea and Eukarya on the other side. Here, we focus on Archaea to gain a precise view of the adaptation to OGT over time in this domain. It has been often proposed on the basis of indirect evidence that the last archaeal common ancestor was a hyperthermophilic organism. Moreover, many results showed the influence of environmental temperature on the evolutionary dynamics of archaeal genomes: Thermophilic organisms generally display lower evolutionary rates than mesophiles. However, to our knowledge, no study tried to explain the differences of evolutionary rates for the entire archaeal domain and to investigate the evolution of substitution rates over time. A comprehensive archaeal phylogeny and a non homogeneous model of the molecular evolutionary process allowed us to estimate ancestral base and amino acid compositions and OGTs at each internal node of the archaeal phylogenetic tree. The last archaeal common ancestor is predicted to have been hyperthermophilic and adaptations to cooler environments can be observed for extant mesophilic species. Furthermore, mesophilic species present both long branches and high variation of nucleotide and amino acid compositions since the last archaeal common ancestor. The increase of substitution rates observed in mesophilic lineages along all their branches can be interpreted as an ongoing adaptation to colder temperatures and to new metabolisms. We conclude that environmental temperature is a major factor that governs evolutionary rates in Archaea.

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Year:  2011        PMID: 21498602     DOI: 10.1093/molbev/msr098

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  52 in total

1.  Spotlight on the Thaumarchaeota.

Authors:  C Brochier-Armanet; S Gribaldo; P Forterre
Journal:  ISME J       Date:  2011-11-10       Impact factor: 10.302

2.  Investment in rapid growth shapes the evolutionary rates of essential proteins.

Authors:  Sara Vieira-Silva; Marie Touchon; Sophie S Abby; Eduardo P C Rocha
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-30       Impact factor: 11.205

3.  Evaluation of Ancestral Sequence Reconstruction Methods to Infer Nonstationary Patterns of Nucleotide Substitution.

Authors:  Tomotaka Matsumoto; Hiroshi Akashi; Ziheng Yang
Journal:  Genetics       Date:  2015-05-06       Impact factor: 4.562

4.  The two-domain tree of life is linked to a new root for the Archaea.

Authors:  Kasie Raymann; Céline Brochier-Armanet; Simonetta Gribaldo
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-11       Impact factor: 11.205

5.  Coupling of diversification and pH adaptation during the evolution of terrestrial Thaumarchaeota.

Authors:  Cécile Gubry-Rangin; Christina Kratsch; Tom A Williams; Alice C McHardy; T Martin Embley; James I Prosser; Daniel J Macqueen
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-13       Impact factor: 11.205

Review 6.  The LUCA and its complex virome.

Authors:  Mart Krupovic; Valerian V Dolja; Eugene V Koonin
Journal:  Nat Rev Microbiol       Date:  2020-07-14       Impact factor: 60.633

Review 7.  Mechanisms of gene flow in archaea.

Authors:  Alexander Wagner; Rachel J Whitaker; David J Krause; Jan-Hendrik Heilers; Marleen van Wolferen; Chris van der Does; Sonja-Verena Albers
Journal:  Nat Rev Microbiol       Date:  2017-05-15       Impact factor: 60.633

Review 8.  The Archaeal Signal Recognition Particle: Present Understanding and Future Perspective.

Authors:  Sayandeep Gupta; Mousam Roy; Abhrajyoti Ghosh
Journal:  Curr Microbiol       Date:  2016-11-29       Impact factor: 2.188

Review 9.  Diversity, physiology, and niche differentiation of ammonia-oxidizing archaea.

Authors:  Roland Hatzenpichler
Journal:  Appl Environ Microbiol       Date:  2012-08-24       Impact factor: 4.792

10.  Monte Carlo algorithms for Brownian phylogenetic models.

Authors:  Benjamin Horvilleur; Nicolas Lartillot
Journal:  Bioinformatics       Date:  2014-07-22       Impact factor: 6.937

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