ArticleCurrent microbiology2008
Variable-number-of-tandem-repeats analysis of genetic diversity in Pasteuria ramosa.
Article in Current microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A common multi-host parasite shows genetic structuring at the host species and population levels.Parasitology · 2024Article
- Rapid evolution of a bacterial parasite during outbreaks in twoEcology and evolution · 2023Article
- Resolving the infection process reveals striking differences in the contribution of environment, genetics and phylogeny to host-parasite interactions.BMC biology · 2011Article
- Molecular identification and hidden diversity of novel Daphnia parasites from European lakes.Applied and environmental microbiology · 2009Article
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2 authors.
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Abstract
Variable-number-of-tandem-repeats (VNTR) markers are increasingly being used in population genetic studies of bacteria. They were recently developed for Pasteuria ramosa, an endobacterium that infects Daphnia species. In the present study, we genotyped P. ramosa in 18 infected hosts from the United Kingdom, Belgium, and two lakes in the United States using seven VNTR markers. Two Daphnia species were collected: D. magna and D. dentifera. Six loci showed length polymorphism, with as many as five alleles identified for a single locus. Similarity coefficient calculations showed that the extent of genetic variation between pairs of isolates within populations differed according to the population, but it was always less than the genetic distances among populations. Analysis of the genetic distances performed using principal component analysis revealed strong clustering by location of origin, but not by host Daphnia species. Our study demonstrated that the VNTR markers available for P. ramosa are informative in revealing genetic differences within and among populations and may therefore become an important tool for providing detailed analysis of population genetics and epidemiology.
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