Literature DB >> 19369225

Inferring evolutionarily significant units of bacterial diversity from broad environmental surveys of single-locus data.

Timothy G Barraclough1, Martin Hughes, Natalie Ashford-Hodges, Tomochika Fujisawa.   

Abstract

By far the greatest challenge for diversity studies is to characterize the diversity of prokaryotes, which probably encompasses billions of species, most of which are unculturable. Recent advances in theory and analysis have focused on multi-locus approaches and on combined analysis of molecular and ecological data. However, broad environmental surveys of bacterial diversity still rely on single-locus data, notably 16S ribosomal DNA, and little other detailed information. Evolutionary methods of delimiting species from single-locus data alone need to consider population genetic and macroevolutionary theories for the expected levels of interspecific and intraspecific variation. We discuss the use of a recent evolutionary method, based on the theory of coalescence within independently evolving populations, compared with a traditional approach that uses a fixed threshold divergence to delimit species.

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Year:  2009        PMID: 19369225      PMCID: PMC2679934          DOI: 10.1098/rsbl.2009.0091

Source DB:  PubMed          Journal:  Biol Lett        ISSN: 1744-9561            Impact factor:   3.703


  13 in total

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Review 5.  Recombination and the nature of bacterial speciation.

Authors:  Christophe Fraser; William P Hanage; Brian G Spratt
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6.  Resource partitioning and sympatric differentiation among closely related bacterioplankton.

Authors:  Dana E Hunt; Lawrence A David; Dirk Gevers; Sarah P Preheim; Eric J Alm; Martin F Polz
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7.  Environmental genome shotgun sequencing of the Sargasso Sea.

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8.  Toward a census of bacteria in soil.

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  24 in total

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Review 2.  Evolving entities: towards a unified framework for understanding diversity at the species and higher levels.

Authors:  Timothy G Barraclough
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-06-12       Impact factor: 6.237

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8.  Toward a DNA taxonomy of Alpine Rhithrogena (Ephemeroptera: Heptageniidae) using a mixed Yule-coalescent analysis of mitochondrial and nuclear DNA.

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9.  Phylogenetic estimation error can decrease the accuracy of species delimitation: a Bayesian implementation of the general mixed Yule-coalescent model.

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10.  Surprisingly extensive mixed phylogenetic and ecological signals among bacterial Operational Taxonomic Units.

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