Evidence map›Paper›PMID 28596759›Full record

ArticleFrontiers in microbiology2017

BSocial: Deciphering Social Behaviors within Mixed Microbial Populations.

Jessica Purswani, Rocío C Romero-Zaliz, Antonio M Martín-Platero, Isabel M Guisado, Jesús González-López, Clementina Pozo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Decoding social behaviors in a glycerol dependent bacterial consortium during Reactive Blue 28 degradation.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2020
    Article
  6. 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

6 authors at 1 institution in 1 country.

Jessica PurswaniEnvironmental Microbiology Group, Institute of Water Research, University of GranadaGranada, Spain.
Rocío C Romero-ZalizM4Mlab, Department of Computer Science and Artificial Intelligence, University of GranadaGranada, Spain.
Antonio M Martín-PlateroDepartment of Microbiology, University of GranadaGranada, Spain.
Isabel M GuisadoEnvironmental Microbiology Group, Institute of Water Research, University of GranadaGranada, Spain.
Jesús González-LópezEnvironmental Microbiology Group, Institute of Water Research, University of GranadaGranada, Spain.
Clementina PozoEnvironmental Microbiology Group, Institute of Water Research, University of GranadaGranada, Spain.
Universidad de Granada · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecosystem functionality depends on interactions among populations, of the same or different taxa, and these are not just the sum of pairwise interactions. Thus, know-how of the social interactions occurring in mixed-populations are of high interest, however they are commonly unknown due to the limitations posed in tagging each population. The limitations include costs/time in tediously fluorescent tagging, and the number of different fluorescent tags. Tag-free strategies exist, such as high-throughput sequencing, but ultimately both strategies require the use of expensive machinery. Our work appoints social behaviors on individual strains in mixed-populations, offering a web-tool (

Indexed as

biofilmsbioremediationhigh throughputmicrobial cooperationmicrobial fitnessmicrobial interactionsnet-positive speciessocial behavior

Identifiers

PMID28596759
PMCPMC5442188
OpenAlexW2620476370

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.