Evidence map›Paper›PMID 40057505›Full record

ArticleNature communications2025

Differential roles of deterministic and stochastic processes in structuring soil bacterial ecotypes across terrestrial ecosystems.

Mia Riddley, Shannon Hepp, Fnu Hardeep, Aruj Nayak, Meimei Liu, Xin Xing, Hailong Zhang, Jingqiu Liao

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 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

8 authors.

Mia Riddley *Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.ORCID http://orcid.org/0000-0002-5139-4658
Shannon Hepp *Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.
Fnu HardeepDepartment of Computer Science, Virginia Tech, Blacksburg, VA, 24061, USA.
Aruj NayakDepartment of Computer Science, Virginia Tech, Blacksburg, VA, 24061, USA.
Meimei LiuDepartment of Statistics, Virginia Tech, Blacksburg, VA, 24061, USA.
Xin XingDepartment of Statistics, Virginia Tech, Blacksburg, VA, 24061, USA.ORCID http://orcid.org/0000-0001-9121-0086
Hailong ZhangDepartment of Business Information Technology, Virginia Tech, Blacksburg, VA, 24061, USA.
Jingqiu LiaoDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, 24061, USA. liaoj@vt.edu.ORCID http://orcid.org/0000-0002-2579-8157

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil bacteria are vital to ecosystem resilience and resistance, yet ecological attributes and the drivers governing their composition and distribution, especially for taxa varying in ecological traits and inhabiting different ecosystems, are not fully understood. Here, we analyzed a large-scale bacterial community and environmental dataset of 622 soil samples systematically collected by us from six major terrestrial ecosystems across the United States. We show that soil bacterial diversity and composition significantly differ among ecotypes and ecosystems, partially determined by a few universal abiotic factors (e.g., soil pH, calcium, and aluminum) and several ecotype- or ecosystem-specific ecological drivers. Co-occurrence network analysis suggests that rare taxa have stronger ecological relevance to the community than abundant taxa. Ecological models revealed that deterministic processes shape assembly of abundant taxa and generalists, while stochastic processes played a greater role in rare taxa and specialists. Also, bacterial communities in the shrubland ecosystem appear to be more sensitive to environmental changes than other ecosystems, evidenced by the lowest diversity, least connected community network, and strongest local environmental selection driven by surrounding land use. Overall, this study reveals ecological mechanisms underlying the bacterial biogeography in terrestrial ecosystems nationwide and highlights the need to preserve rare biosphere and shrubland ecosystems amid environmental disturbance.

Indexed as

BacteriaEcosystemEcotypeSoil MicrobiologyBiodiversityMicrobiotaSoilStochastic ProcessesUnited StatesSoil

Identifiers

PMID40057505
PMCPMC11890569

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.