Evidence map›Paper›PMID 19844647›Full record

ArticleMicrobial ecology2010

Resolution of phenotypically distinct strains of Enterococcus spp. in a complex microbial community using cpn60 universal target sequencing.

Catherine J Vermette, Amanda H Russell, Atul R Desai, Janet E Hill

Abstract read
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In one paragraph

Article in Microbial ecology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Update on cpnDB: a reference database of chaperonin sequences.Database : the journal of biological databases and curation · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Catherine J VermetteDepartment of Veterinary Microbiology, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
Amanda H Russell
Atul R Desai
Janet E Hill
University of Saskatchewan · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterization of complex microbial communities is frequently based on the examination of polymerase chain reaction amplified sequences from a single phylogenetic marker, usually the 16S rRNA gene. However, this commonly used target often does not offer robust resolution of species or sub-species and is thus not a sufficiently informative target for understanding microbial population dynamics occurring at the strain level. We have used the cpn60 universal target sequence to characterize Enterococcus isolates from feces of growing pigs and have shown that sub-species groups, not detected using 16S rRNA sequences, can be resolved. Furthermore, groups resolved by cpn60-based phylogenetic analysis have distinct phenotypes. We report changes in the structure and function of Enterococcus communities in pig feces sampled from individual animals at three times, from suckling through to maturity. Enterococcus faecalis was largely replaced by Enterococcus hirae between suckling and 9 weeks of age, and a shift from one sub-species group of E. hirae to another was observed in all animals between 9 and 15 weeks. Conversely, E. faecalis strains remained consistent throughout the study period. Our results demonstrate that cpn60 sequences can be used to detect strain level changes in Enterococcus populations during succession in the fecal microbiota of growing pigs.

Indexed as

AnimalsCarbonChaperonin 60Colony Count, MicrobialEnterococcusFecesPhenotypePhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASwineCarbonChaperonin 60RNA, Ribosomal, 16S

Identifiers

PMID19844647
OpenAlexW2038202741

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.