Literature DB >> 11931171

A mathematical method for determining genome divergence and species delineation using AFLP.

Christophe Mougel, Jean Thioulouse, Guy Perrière, Xavier Nesme.   

Abstract

The delineation of bacterial species is presently achieved using direct DNA-DNA relatedness studies of whole genomes. It would be helpful to obtain the same genomically based delineation by indirect methods, provided that descriptions of individual genome composition of bacterial genomes are obtained and included in species descriptions. The amplified fragment length polymorphism (AFLP) technique could provide the necessary data if the nucleotides involved in restriction and amplification are fundamental to the description of genomic divergences. Firstly, in order to verify that AFLP analysis permits a realistic exploration of bacterial genome composition, the strong correspondence between predicted and experimental AFLP data was demonstrated using Agrobacterium strain C58 as a model system. Secondly, a method is proposed for determining current genome mispairing and evolutionary genome divergences between pairs of bacteria, based on arbitrary sampling of genomes by using AFLP. The measure of current genome mispairing was validated by comparison with DNA-DNA relatedness data, which itself correlates with base mispairing. The evolutionary genome divergence is the estimated rate of nucleotide substitution that has occurred since the strains diverged from a common ancestor. Current genome mispairing and evolutionary genome divergence were used to compare members of Agrobacterium, used as a model of closely related genomic species. A strong and highly significant correlation was found between calculated genome mispairing and DNA-DNA relatedness values within genomic species. The canonical 70% DNA-DNA hybridization value used to delineate genomic species was found to correspond to a range of current genome mispairing of 13-13.6%. These limits correspond to 0.097 and 0.104 nucleotide substitutions per site, respectively. In addition, experimental data showed that the large Ti and cryptic plasmids of Agrobacterium had little effect on the estimation of genome divergence. Evolutionary genome divergence was used for phylogenetic inferences. Data showed that members of the same genomic species clustered consistently, as supported by bootstrap resampling. On the basis of these results, it is proposed that the genomic delineation of bacterial species could be based, in future, on phylogenetic groups supported by bootstraps and genome descriptions of individual strains, obtained by AFLP analysis, recorded in accessible databases; this approach might eventually replace DNA-DNA hybridization studies.

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Year:  2002        PMID: 11931171     DOI: 10.1099/00207713-52-2-573

Source DB:  PubMed          Journal:  Int J Syst Evol Microbiol        ISSN: 1466-5026            Impact factor:   2.747


  23 in total

1.  Relationship between spatial and genetic distance in Agrobacterium spp. in 1 cubic centimeter of soil.

Authors:  J Vogel; P Normand; J Thioulouse; X Nesme; G L Grundmann
Journal:  Appl Environ Microbiol       Date:  2003-03       Impact factor: 4.792

2.  Effects of inbreeding on the genetic diversity of populations.

Authors:  Deborah Charlesworth
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2003-06-29       Impact factor: 6.237

3.  A highly selectable and highly transferable Ti plasmid to study conjugal host range and Ti plasmid dissemination in complex ecosystems.

Authors:  S Teyssier-Cuvelle; P Oger; C Mougel; K Groud; S K Farrand; X Nesme
Journal:  Microb Ecol       Date:  2004-05-28       Impact factor: 4.552

Review 4.  Biodiversity of vibrios.

Authors:  Fabiano L Thompson; Tetsuya Iida; Jean Swings
Journal:  Microbiol Mol Biol Rev       Date:  2004-09       Impact factor: 11.056

5.  AFLPs support deep relationships among darters (Percidae: Etheostomatinae) consistent with morphological hypotheses.

Authors:  T A Smith; T C Mendelson; L M Page
Journal:  Heredity (Edinb)       Date:  2011-06-29       Impact factor: 3.821

6.  Rapid and efficient identification of Agrobacterium species by recA allele analysis: Agrobacterium recA diversity.

Authors:  Denis Costechareyre; Ali Rhouma; Céline Lavire; Perrine Portier; David Chapulliot; Franck Bertolla; Ali Boubaker; Yves Dessaux; Xavier Nesme
Journal:  Microb Ecol       Date:  2010-06-03       Impact factor: 4.552

7.  Identification of genomic species in Agrobacterium biovar 1 by AFLP genomic markers.

Authors:  Perrine Portier; Marion Fischer-Le Saux; Christophe Mougel; Catherine Lerondelle; David Chapulliot; Jean Thioulouse; Xavier Nesme
Journal:  Appl Environ Microbiol       Date:  2006-08-25       Impact factor: 4.792

8.  Intraspecific and interspecific genetic and phylogenetic relationships in the genus Populus based on AFLP markers.

Authors:  M T Cervera; V Storme; A Soto; B Ivens; M Van Montagu; O P Rajora; W Boerjan
Journal:  Theor Appl Genet       Date:  2005-10-07       Impact factor: 5.699

9.  Reconciliation of sequence data and updated annotation of the genome of Agrobacterium tumefaciens C58, and distribution of a linear chromosome in the genus Agrobacterium.

Authors:  Steven Slater; João C Setubal; Brad Goodner; Kathryn Houmiel; Jian Sun; Rajinder Kaul; Barry S Goldman; Stephen K Farrand; Nalvo Almeida; Thomas Burr; Eugene Nester; David M Rhoads; Ryosuke Kadoi; Trucian Ostheimer; Nicole Pride; Allison Sabo; Erin Henry; Erin Telepak; Lindsey Cromes; Alana Harkleroad; Louis Oliphant; Phil Pratt-Szegila; Roy Welch; Derek Wood
Journal:  Appl Environ Microbiol       Date:  2012-12-14       Impact factor: 4.792

10.  Evidence of recombination in mixed-mating-type and alpha-only populations of Cryptococcus gattii sourced from single eucalyptus tree hollows.

Authors:  Nathan Saul; Mark Krockenberger; Dee Carter
Journal:  Eukaryot Cell       Date:  2008-02-15
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