Evidence map›Paper›PMID 38088971›Full record

ArticleFrontiers in microbiology2023

Environmental bacteria increase population growth of hydra at low temperature.

Máté Miklós, Karolina Cseri, Levente Laczkó, Gábor Kardos, Sebastian Fraune, Jácint Tökölyi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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 3 institutions in 2 countries.

Máté MiklósMTA-DE "Momentum" Ecology, Evolution and Developmental Biology Research Group, Department of Evolutionary Zoology, University of Debrecen, Debrecen, Hungary.
Karolina CseriInstitute of Metagenomics, University of Debrecen, Debrecen, Hungary.
Levente LaczkóInstitute of Metagenomics, University of Debrecen, Debrecen, Hungary.
Gábor KardosInstitute of Metagenomics, University of Debrecen, Debrecen, Hungary.
Sebastian FrauneInstitute of Zoology and Organismic Interactions, Heinrich-Heine University, Düsseldorf, Germany.
Jácint TökölyiMTA-DE "Momentum" Ecology, Evolution and Developmental Biology Research Group, Department of Evolutionary Zoology, University of Debrecen, Debrecen, Hungary.
University of Debrecen · HUHeinrich Heine University Düsseldorf · DEHUN-REN Centre for Ecological Research · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multicellular organisms engage in complex ecological interactions with microorganisms, some of which are harmful to the host's health and fitness (e.g., pathogens or toxin-producing environmental microbiota), while others are either beneficial or have a neutral impact (as seen in components of host-associated microbiota). Although environmental microorganisms are generally considered to have no significant impact on animal fitness, there is evidence suggesting that exposure to these microbes might be required for proper immune maturation and research in vertebrates has shown that developing in a sterile environment detrimentally impacts health later in life. However, it remains uncertain whether such beneficial effects of environmental microorganisms are present in invertebrates that lack an adaptive immune system. In the present study, we conducted an experiment with field-collected

Indexed as

16S sequencingautoclaved lake waterCnidariaDarwinian fitnessecological interactionsfreshwater ecologyhost-associated microbiota

Identifiers

PMID38088971
PMCPMC10715282
OpenAlexW4389098317

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.