Evidence map›Paper›PMID 42414870›Full record

ArticleBMC microbiology2026

Land use types and elevation gradients jointly influence soil bacterial community diversity and functions in the Gaoligong Mountains.

Ruilong Huang, Wei Li

Abstract read
In one paragraph

Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Ruilong HuangCollege of Soil and Water Conservation, Southwest Forestry University, Kunming, Yunnan, 650000, China.
Wei LiCollege of Soil and Water Conservation, Southwest Forestry University, Kunming, Yunnan, 650000, China. ww0592@gmail.com.

Funding

Yunnan Provincial Science and Technology Department 202303AC10001203
6 · The paper itself

Abstract

Land use types and elevation gradients are key determinants of soil environment, thereby shaping the composition and diversity of soil bacterial communities. Nevertheless, our understanding of how the composition, diversity, and functions of soil bacterial communities vary among land use types along elevation gradients remains limited. The present study was conducted in the biodiversity-rich Gaoligong Mountains, where soil samples were collected from shrublands (SL), coffee fields (CF), maize fields (MF), and orange fields (OF) along an elevation gradient spanning 900-1800 m (i.e., 900-1200 m, 1200-1500 m, and 1500-1800 m). A 16 S rRNA amplicon sequencing was applied to assess the composition of soil bacterial community. In addition, we employed FAPROTAX to perform functional classification based on the 16 S sequencing data. The results showed that land use types, elevation, and their interactions had significant affected on soil chemical properties, α diversity and functions of soil bacterial communities. PERMANOVA analysis further revealed that both land use types (R

Indexed as

BacteriaBiodiversityMicrobiotaSoil MicrobiologyAgricultureAltitudeChinaDNA, BacterialPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASoilDNA, BacterialRNA, Ribosomal, 16SSoilAgricultural landsElevationHigh-throughput sequencingShrublandsSoil bacterial communitySoil chemical properties

Identifiers

PMID42414870
PMCPMC13628731

What OpenQuestion holds

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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.