Evidence map›Paper›PMID 32528097›Full record

ArticleScientific reports2020

Spatio-temporal trends in richness and persistence of bacterial communities in decline-phase water vole populations.

Petra Villette, Eve Afonso, Geoffroy Couval, Aurélien Levret, Maxime Galan, Anne-Claude Goydadin, Jean-François Cosson, Patrick Giraudoux

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
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

8 authors at 3 institutions in 1 country.

Petra VilletteUniversité de Bourgogne Franche-Comté, CNRS UMR 6249 Chrono-environnement, Besançon, 25030, France. petra.villette@gmail.com.
Eve AfonsoUniversité de Bourgogne Franche-Comté, CNRS UMR 6249 Chrono-environnement, Besançon, 25030, France.
Geoffroy CouvalFédération Régional de Défense contre Organismes Nuisibles de Bourgogne Franche-Comté, Besançon, 25480, France.
Aurélien LevretFédération Régional de Défense contre Organismes Nuisibles de Bourgogne Franche-Comté, Besançon, 25480, France.
Maxime GalanCBGP, INRAE, CIRAD, IRD, Institut Agro, Université de Montpellier, Montpellier, France.
Anne-Claude GoydadinUniversité de Bourgogne Franche-Comté, CNRS UMR 6249 Chrono-environnement, Besançon, 25030, France.
Jean-François CossonINRA, UMR BIPAR, Maisons-Alfort, 94700, France.
Patrick GiraudouxUniversité de Bourgogne Franche-Comté, CNRS UMR 6249 Chrono-environnement, Besançon, 25030, France.
Centre National de la Recherche Scientifique · FRCentre de Coopération Internationale en Recherche Agronomique pour le Développement · FRÉcole Nationale Vétérinaire d'Alfort · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the driving forces that control vole population dynamics requires identifying bacterial parasites hosted by the voles and describing their dynamics at the community level. To this end, we used high-throughput DNA sequencing to identify bacterial parasites in cyclic populations of montane water voles that exhibited a population outbreak and decline in 2014-2018. An unexpectedly large number of 155 Operational Taxonomic Units (OTUs) representing at least 13 genera in 11 families was detected. Individual bacterial richness was higher during declines, and vole body condition was lower. Richness as estimated by Chao2 at the local population scale did not exhibit clear seasonal or cycle phase-related patterns, but at the vole meta-population scale, exhibited seasonal and phase-related patterns. Moreover, bacterial OTUs that were detected in the low density phase were geographically widespread and detected earlier in the outbreak; some were associated with each other. Our results demonstrate the complexity of bacterial community patterns with regard to host density variations, and indicate that investigations about how parasites interact with host populations must be conducted at several temporal and spatial scales: multiple times per year over multiple years, and at both local and long-distance dispersal scales for the host(s) under consideration.

Indexed as

BiodiversitySpatio-Temporal AnalysisAnimalsArvicolinaeBacteriaPopulation Dynamics

Identifiers

PMID32528097
PMCPMC7290036
OpenAlexW3035735384

What OpenQuestion holds

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LicenceCC BY
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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.