Evidence map›Paper›PMID 37133282›Full record

ArticlemSystems2023

Drivers of stability and transience in composition-functioning links during serial propagation of litter-decomposing microbial communities.

Eric R Moore, Dennis Suazo, Joany Babilonia, Kyana N Montoya, La Verne Gallegos-Graves, Sanna Sevanto, John Dunbar, Michaeline B N Albright

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in mSystems, 2023. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Eric R MooreBioscience Division, Los Alamos National Laboratory , Los Alamos, New Mexico, USA.ORCID 0000-0001-5834-8753
Dennis SuazoBioscience Division, Los Alamos National Laboratory , Los Alamos, New Mexico, USA.
Joany BabiloniaBioscience Division, Los Alamos National Laboratory , Los Alamos, New Mexico, USA.
Kyana N MontoyaBioscience Division, Los Alamos National Laboratory , Los Alamos, New Mexico, USA.ORCID 0000-0003-4119-3614
La Verne Gallegos-GravesBioscience Division, Los Alamos National Laboratory , Los Alamos, New Mexico, USA.
Sanna SevantoEarth and Environmental Sciences Division, Los Alamos National Laboratory , Los Alamos, New Mexico, USA.
John DunbarBioscience Division, Los Alamos National Laboratory , Los Alamos, New Mexico, USA.
Michaeline B N AlbrightBioscience Division, Los Alamos National Laboratory , Los Alamos, New Mexico, USA.ORCID 0000-0002-4528-0312

Funding

DOE | NNSA | Laboratory Directed Research and Development (LDRD) 20200109DRDOE | SC | Biological and Environmental Research (BER) F255LANL2018
6 · The paper itself

Abstract

Biotic factors that influence the temporal stability of microbial community functioning are an emerging research focus for the control of natural and engineered systems. The discovery of common features within community ensembles that differ in functional stability over time is a starting point to explore biotic factors. We serially propagated a suite of soil microbial communities through five generations of 28-day microcosm incubations to examine microbial community compositional and functional stability during plant litter decomposition. Using dissolved organic carbon (DOC) abundance as a target function, we hypothesized that microbial diversity, compositional stability, and associated changes in interactions would explain the

Indexed as

MicrobiotaSoil MicrobiologyPlantsReproducibility of ResultsSoilSoilbacteriacarbon cyclingfungimicrobial interactionsmicrobiome engineeringserial propagations

Identifiers

PMID37133282
PMCPMC10308953

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.