Literature DB >> 10537189

The genetic structure of enteric bacteria from Australian mammals.

D M Gordon1, J Lee.   

Abstract

A total of 246 isolates representing five species of the family Enterobacteriaceae, taken from a variety of Australian mammal species, were characterized using multi-locus enzyme electrophoresis. Genome diversity estimates varied significantly among species, with the Klebsiella pneumoniae sample exhibiting the lowest diversity and the Citrobacter freundii sample the highest. Multi-locus linkage disequilibrium estimates revealed that alleles were non-randomly associated in all five species samples, but the magnitude of the estimates differed significantly among species. Escherichia coli had the lowest linkage disequilibrium estimate and Klebisella oxytoca the largest. Molecular analyis of variance was used to determine the extent to which population structure explained the observed genetic variation in a species. Two population levels were defined: the taxonomic family of the host from which the isolate was collected and the geographical locality where the host was collected. The amount of explained variation varied from 0% for K. oxytoca to 22% for K. pneumoniae. Host locality explained a significant amount of the genetic variation in the C. freundii (12%), E. coli (5%), Hafnia alvei (17%) and K. pneumoniae (22%) samples. Host family explained a significant fraction of the variation in E. coli (6%) H. alvei (7%) and K. pneumoniae (20%). Estimates of effective population size for all five species, based on the probability that two randomly chosen isolates will be identical, failed to reveal any relationship between the effective population size and the genetic diversity of a species.

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Year:  1999        PMID: 10537189     DOI: 10.1099/00221287-145-10-2673

Source DB:  PubMed          Journal:  Microbiology        ISSN: 1350-0872            Impact factor:   2.777


  8 in total

1.  Tracing contamination and Escherichia coli diversity.

Authors:  Gary A Dykes
Journal:  Appl Environ Microbiol       Date:  2002-09       Impact factor: 4.792

2.  Genetic diversity and population structure of Escherichia coli from neighboring small-scale dairy farms.

Authors:  Jesús Andrei Rosales-Castillo; Ma Soledad Vázquez-Garcidueñas; Hugo Alvarez-Hernández; Omar Chassin-Noria; Alba Irene Varela-Murillo; María Guadalupe Zavala-Páramo; Horacio Cano-Camacho; Gerardo Vázquez-Marrufo
Journal:  J Microbiol       Date:  2011-11-09       Impact factor: 3.422

3.  Host distributions of uncultivated fecal Bacteroidales bacteria reveal genetic markers for fecal source identification.

Authors:  Linda K Dick; Anne E Bernhard; Timothy J Brodeur; Jorge W Santo Domingo; Joyce M Simpson; Sarah P Walters; Katharine G Field
Journal:  Appl Environ Microbiol       Date:  2005-06       Impact factor: 4.792

4.  Clonal populations of thermotolerant Enterobacteriaceae in recreational water and their potential interference with fecal Escherichia coli counts.

Authors:  S L McLellan; A D Daniels; A K Salmore
Journal:  Appl Environ Microbiol       Date:  2001-10       Impact factor: 4.792

5.  Genetic characterization of Escherichia coli populations from host sources of fecal pollution by using DNA fingerprinting.

Authors:  Sandra L McLellan; Annette D Daniels; Alissa K Salmore
Journal:  Appl Environ Microbiol       Date:  2003-05       Impact factor: 4.792

6.  Escherichia coli populations in Great Lakes waterfowl exhibit spatial stability and temporal shifting.

Authors:  Dennis L Hansen; Satoshi Ishii; Michael J Sadowsky; Randall E Hicks
Journal:  Appl Environ Microbiol       Date:  2009-01-09       Impact factor: 4.792

7.  Isolation and characterization of intestinal Escherichia coli clones from wild boars in Germany.

Authors:  Peter Schierack; Antje Römer; Jörg Jores; Heike Kaspar; Sebastian Guenther; Matthias Filter; Jürgen Eichberg; Lothar H Wieler
Journal:  Appl Environ Microbiol       Date:  2008-12-05       Impact factor: 4.792

8.  Bacteria richness and antibiotic-resistance in bats from a protected area in the Atlantic Forest of Southeastern Brazil.

Authors:  Vinícius C Cláudio; Irys Gonzalez; Gedimar Barbosa; Vlamir Rocha; Ricardo Moratelli; Fabrício Rassy
Journal:  PLoS One       Date:  2018-09-14       Impact factor: 3.240

  8 in total

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