Evidence map›Paper›PMID 27994584›Full record

ArticleFrontiers in microbiology2016

Diverse Profiles of AI-1 Type Quorum Sensing Molecules in Cultivable Bacteria from the Mangrove (

Zhi P Ma, Yong M Lao, Hui Jin, Guang H Lin, Zhong H Cai, Jin Zhou

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Communication within East Antarctic Soil Bacteria.Applied and environmental microbiology · 2019
    Article
  4. Article
  5. 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.

Zhi P MaThe Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua UniversityShenzhen, China; Shenzhen Public Platform for Screening and Application of Marine Microbial ResourcesShenzhen, China.
Yong M LaoThe Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua UniversityShenzhen, China; Shenzhen Public Platform for Screening and Application of Marine Microbial ResourcesShenzhen, China.
Hui JinThe Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua UniversityShenzhen, China; Shenzhen Public Platform for Screening and Application of Marine Microbial ResourcesShenzhen, China.
Guang H LinThe Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University Shenzhen, China.
Zhong H CaiThe Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua UniversityShenzhen, China; Shenzhen Public Platform for Screening and Application of Marine Microbial ResourcesShenzhen, China.
Jin ZhouThe Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua UniversityShenzhen, China; Shenzhen Public Platform for Screening and Application of Marine Microbial ResourcesShenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mangrove rhizosphere environment harbors diverse populations of microbes, and some evidence showed that rhizobacteria behavior was regulated by quorum sensing (QS). Investigating the diverse profiles of QS molecules in mangrove ecosystems may shed light on the bacterial roles and lead to a better understanding of the symbiotic interactions between plants and microbes. The aims of the current study focus on identifying AI-1 type QS signals, i.e., acyl homoserine lactones (AHLs), in

Indexed as

acyl homoserine lactonediverse profilesmangrove plantplant-microbes interactionsquorum sensingrhizobacteria

Identifiers

PMID27994584
PMCPMC5136546

What OpenQuestion holds

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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.