Evidence map›Paper›PMID 28489281›Full record

ArticleEnvironmental microbiology2017

Unveiling microbial interactions in stratified mat communities from a warm saline shallow pond.

Aurélien Saghaï, Ana Gutiérrez-Preciado, Philippe Deschamps, David Moreira, Paola Bertolino, Marie Ragon, Purificación López-García

Abstract read
In one paragraph

Article in Environmental microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
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  5. The dynamic history of prokaryotic phyla: discovery, diversity and division.International journal of systematic and evolutionary microbiology · 2024
    Review
  6. Article
  7. Article
  8. Article
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  11. Asgard archaea in saline environments.Extremophiles : life under extreme conditions · 2022
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
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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

7 authors at 3 institutions in 1 country.

Aurélien SaghaïEcologie Systématique Evolution, CNRS, Université Paris-Sud, AgroParisTech, Université Paris-Saclay, Orsay, France.
Ana Gutiérrez-PreciadoEcologie Systématique Evolution, CNRS, Université Paris-Sud, AgroParisTech, Université Paris-Saclay, Orsay, France.
Philippe DeschampsEcologie Systématique Evolution, CNRS, Université Paris-Sud, AgroParisTech, Université Paris-Saclay, Orsay, France.
David MoreiraEcologie Systématique Evolution, CNRS, Université Paris-Sud, AgroParisTech, Université Paris-Saclay, Orsay, France.
Paola BertolinoEcologie Systématique Evolution, CNRS, Université Paris-Sud, AgroParisTech, Université Paris-Saclay, Orsay, France.
Marie RagonEcologie Systématique Evolution, CNRS, Université Paris-Sud, AgroParisTech, Université Paris-Saclay, Orsay, France.
Purificación López-GarcíaEcologie Systématique Evolution, CNRS, Université Paris-Sud, AgroParisTech, Université Paris-Saclay, Orsay, France.
Université Paris-Sud · FRAgroParisTech · FRCentre National de la Recherche Scientifique · FR

Funding

European Research Council 322669
6 · The paper itself

Abstract

Modern phototrophic microbial mats are complex communities often used as analogs of major Precambrian ecosystems. Characterizing biotic, notably metabolic, interactions among different microbial mat members is essential to gain insights into the ecology and biogeochemistry of these systems. We applied 16S/18S rRNA metabarcoding approaches to characterize the structure of archaea, bacteria and protist communities from microbial mats collected along strong physicochemical (oxygen, salinity, temperature, depth) gradients in a shallow pond at the salar de Llamara (Chile). All mats were highly diverse, including members of virtually all known high-rank eukaryotic and prokaryotic taxa but also many novel lineages. Bacterial candidate divisions accounted for almost 50% of sequences in deeper mats, while Archaea represented up to 40% of sequences in some mat layers. Molecular phylogenetic analyses revealed six novel deeply divergent archaeal groups, along abundant and diverse Pacearchaeota and Woesearchaeota. Multivariate statistical analyses showed that local environmental conditions strongly influenced community composition. Co-occurrence network structure was markedly different between surface mats located in the oxygenated zone and mats located in transition and anoxic water layers. We identified potential biotic interactions between various high- and low-rank taxa. Notably, a strong positive correlation was observed between Lokiarchaeota and the poorly known candidate bacterial division TA06.

Indexed as

AnimalsArchaeaBacteriaBiodiversityBiofilmsChileEcosystemMicrobial InteractionsParasitesPhototrophic ProcessesPhylogenyPondsRNA, Ribosomal, 16SRNA, Ribosomal, 18SSalinityRNA, Ribosomal, 16SRNA, Ribosomal, 18S

Identifiers

PMID28489281
PMCPMC5554446
OpenAlexW2612536447

What OpenQuestion holds

Textmetadata
LicenceTDM
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.