Evidence map›Paper›PMID 37024971›Full record

ArticleEnvironmental microbiome2023

Land use modification causes slow, but predictable, change in soil microbial community composition and functional potential.

Z Louisson, S M Hermans, H L Buckley, B S Case, M Taylor, F Curran-Cournane, G Lear

Abstract read
In one paragraph

Article in Environmental microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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.

Z LouissonSchool of Biological Sciences, University of Auckland, 3a Symonds Street, Auckland, 1010, New Zealand. zlou499@aucklanduni.ac.nz.
S M HermansSchool of Science, Auckland University of Technology, 34 St Paul Street, Auckland, 1010, New Zealand.
H L BuckleySchool of Science, Auckland University of Technology, 34 St Paul Street, Auckland, 1010, New Zealand.
B S CaseSchool of Science, Auckland University of Technology, 34 St Paul Street, Auckland, 1010, New Zealand.
M TaylorWaikato Regional Council, 160 Ward St, Hamilton, 3204, New Zealand.
F Curran-CournaneJoint Evidence Data and Insights, Ministry for the Environment, 45 Queens Street, Auckland, 1010, New Zealand.
G LearSchool of Biological Sciences, University of Auckland, 3a Symonds Street, Auckland, 1010, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBacterial communities are critical to ecosystem functioning and sensitive to their surrounding physiochemical environment. However, the impact of land use change on microbial communities remains understudied. We used 16S rRNA gene amplicon sequencing and shotgun metagenomics to assess soil microbial communities' taxonomic and functional responses to land use change. We compared data from long-term grassland, exotic forest and horticulture reference sites to data from sites that transitioned from (i) Grassland to exotic forest or horticulture and from (ii) Exotic forest to grassland.

resultsCommunity taxonomic and functional profiles of the transitional sites significantly differed from those within reference sites representing both their historic and current land uses (P < 0.001). The bacterial communities in sites that transitioned more recently were compositionally more similar to those representing their historic land uses. In contrast, the composition of communities from sites exposed to older conversion events had shifted towards the compositions at reference sites representing their current land use.

conclusionsOur study indicates that microbial communities respond in a somewhat predictable way after a land use conversion event by shifting from communities reflecting their former land use towards those reflecting their current land use. Our findings help us to better understand the legacy effects of land use change on soil microbial communities and implications for their role in soil health and ecosystem functioning. Understanding the responsiveness of microbial communities to environmental disturbances will aid us in incorporating biotic variables into soil health monitoring techniques in the future.

Indexed as

16S rRNA geneLand managementLand use changeMetagenomicsSoil bacteriaSoil healthTemporal change

Identifiers

PMID37024971
PMCPMC10080853

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.