Evidence map›Paper›PMID 21873482›Full record

ArticleApplied and environmental microbiology2011

Merging taxonomy with ecological population prediction in a case study of Vibrionaceae.

Sarah P Preheim, Sonia Timberlake, Martin F Polz

Abstract readComparative Study
In one paragraph

Article in Applied and environmental microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
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

27 citing papers in PubMed.

  1. Article
  2. Review
  3. How can microbial population genomics inform community ecology?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Vibrio trends in the ecology of the Venice lagoon.Applied and environmental microbiology · 2014
    Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Microbial genomic taxonomy.BMC genomics · 2013
    Article
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

3 authors.

Sarah P PreheimDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Sonia Timberlake
Martin F Polz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We synthesized population structure data from three studies that assessed the fine-scale distribution of Vibrionaceae among temporally and spatially distinct environmental categories in coastal seawater and animals. All studies used a dynamic model (AdaptML) to identify phylogenetically cohesive and ecologically distinct bacterial populations and their predicted habitats without relying on a predefined genetic cutoff or relationships to previously named species. Across the three studies, populations were highly overlapping, displaying similar phylogenetic characteristics (identity and diversity), and were predominantly congruent with taxonomic Vibrio species previously characterized as genotypic clusters by multilocus sequence analysis (MLSA). The environmental fidelity of these populations appears high, with 9 out of 12 reproducibly associating with the same predicted (micro)habitats when similar environmental categories were sampled. Overall, this meta-analysis provides information on the habitat predictability and structure of previously described species, demonstrating that MLSA-based taxonomy can, at least in some cases, serve to approximate ecologically cohesive populations.

Indexed as

EcosystemEnvironmental MicrobiologyAnimalsBacterial ProteinsClassificationCluster AnalysisDNA, BacterialEcologyGram-Negative Bacterial InfectionsMolecular Sequence DataPhylogenySequence Analysis, DNAVibrionaceaeBacterial ProteinsDNA, Bacterial

Identifiers

PMID21873482
PMCPMC3194886

What OpenQuestion holds

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Registered trials

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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.