Evidence map›Paper›PMID 36815790›Full record

ArticleApplied and environmental microbiology2023

Distinct Ecological Processes Mediate Domain-Level Differentiation in Microbial Spatial Scaling.

Xiaofan Gong, Xia Liu, Yueyue Li, Kai Ma, Wen Song, Jiayin Zhou, Qichao Tu

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2023. 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

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Xiaofan GongInstitute of Marine Science and Technology, Shandong University, Qingdao, China.
Xia LiuInstitute of Marine Science and Technology, Shandong University, Qingdao, China.
Yueyue LiInstitute of Marine Science and Technology, Shandong University, Qingdao, China.
Kai MaInstitute of Marine Science and Technology, Shandong University, Qingdao, China.ORCID 0000-0001-7748-7089
Wen SongInstitute of Marine Science and Technology, Shandong University, Qingdao, China.
Jiayin ZhouInstitute of Marine Science and Technology, Shandong University, Qingdao, China.ORCID 0000-0002-1365-6012
Qichao TuInstitute of Marine Science and Technology, Shandong University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial scaling of biodiversity, such as the taxa-area relationship (TAR) and distance-decay relationship (DDR), is a typical ecological pattern that is followed by both microbes and macrobes in natural ecosystems. Previous studies focusing on microbes mainly aimed to address whether and how different types of microbial taxa differ in spatial scaling patterns, leaving the underlying mechanisms largely untouched. In this study, the spatial scaling of different microbial domains and their associated ecological processes in an intertidal zone were comparatively investigated. The significant spatial scaling of biodiversity could be observed across all microbial domains, including archaea, bacteria, fungi, and protists. Among them, archaea and fungi were found with much stronger DDR slopes than those observed in bacteria and protists. For both TAR and DDR, rare subcommunities were mainly responsible for the observed spatial scaling patterns, except for the DDR of protists and bacteria. This was also evidenced by extending the TAR and DDR diversity metrics to Hill numbers. Further statistical analyses demonstrated that different microbial domains were influenced by different environmental factors and harbored distinct local community assembly processes. Of these, drift was mainly responsible for the compositional variations of bacteria and protists. Archaea were shaped by strong homogeneous selection, whereas fungi were more affected by dispersal limitation. Such differing ecological processes resulted in the domain-level differentiation of microbial spatial scaling. This study links ecological processes with microbial spatial scaling and provides novel mechanistic insights into the diversity patterns of microbes that belong to different trophic levels.

Indexed as

BacteriaMicrobiotaArchaeaBiodiversityFungidistance-decay relationshipenvironmental heterogeneitylocal community assemblymicrobial domainsspatial scalingtaxa-area relationship

Identifiers

PMID36815790
PMCPMC10056974

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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.