Literature DB >> 21071229

A species concept for bacteria based on adaptive divergence.

Michiel Vos1.   

Abstract

Bacterial strains are currently grouped into species based on overall genomic similarity and sharing of phenotypes deemed ecologically important. Many believe this polyphasic taxonomy is in need of revision because it lacks grounding in evolutionary theory, and boundaries between species are arbitrary. Recent taxonomy efforts using multilocus sequence typing (MLST) data are based on the identification of distinct phylogenetic clusters. However, these approaches face the problem of deciding the phylogenetic level at which clusters are representative of evolutionary or taxonomically distinct units. In this review, I propose classifying two phylogenetic clusters as separate species only when they have statistically significantly diverged as a result of adaptive evolution. More than a method for classification, the concept of adaptive divergence can be used in a 'reverse ecology' approach to identify lineages that are in the process of speciation or genes involved in initial adaptive divergence. Copyright Â
© 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 21071229     DOI: 10.1016/j.tim.2010.10.003

Source DB:  PubMed          Journal:  Trends Microbiol        ISSN: 0966-842X            Impact factor:   17.079


  32 in total

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3.  Reproductive clonality of pathogens: a perspective on pathogenic viruses, bacteria, fungi, and parasitic protozoa.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-04       Impact factor: 11.205

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Review 5.  Ordering microbial diversity into ecologically and genetically cohesive units.

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Journal:  Trends Microbiol       Date:  2014-03-13       Impact factor: 17.079

6.  Genomic heterogeneity and ecological speciation within one subspecies of Bacillus subtilis.

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7.  Diversification rates and species richness across the Tree of Life.

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8.  Whole-Genome Relationships among Francisella Bacteria of Diverse Origins Define New Species and Provide Specific Regions for Detection.

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Journal:  Appl Environ Microbiol       Date:  2017-01-17       Impact factor: 4.792

9.  Population Genomics Insights into Adaptive Evolution and Ecological Differentiation in Streptomycetes.

Authors:  Yisong Li; Adrián A Pinto-Tomás; Xiaoying Rong; Kun Cheng; Minghao Liu; Ying Huang
Journal:  Appl Environ Microbiol       Date:  2019-03-22       Impact factor: 4.792

10.  Benefit of transferred mutations is better predicted by the fitness of recipients than by their ecological or genetic relatedness.

Authors:  Yinhua Wang; Carolina Diaz Arenas; Daniel M Stoebel; Kenneth Flynn; Ethan Knapp; Marcus M Dillon; Andrea Wünsche; Philip J Hatcher; Francisco B-G Moore; Vaughn S Cooper; Tim F Cooper
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-18       Impact factor: 11.205

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