Evidence map›Paper›PMID 39834362›Full record

ArticleFrontiers in microbiology2024

Structures and determinants of soil microbiomes along a steep elevation gradient in Southwest China.

Ting Li, Ziyan Gao, Ping Zhou, Mingmin Huang, Gangzheng Wang, Jianping Xu, Wangqiu Deng, Mu Wang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. 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

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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

The trial behind it

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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
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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.

Ting LiSchool of Ecology and Environment, Tibet University, Lhasa, China.
Ziyan GaoXizang Agricultural and Animal Husbandry University, Nyingchi, China.
Ping ZhouGuangdong Nanling Forest Ecosystem National Observation and Research Station, Shaoguan, China.
Mingmin HuangGuangdong Nanling Forest Ecosystem National Observation and Research Station, Shaoguan, China.
Gangzheng WangState Key Laboratory of Applied Microbiology in Southern China, and Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.
Jianping XuDepartment of Biology, McMaster University, Hamilton, ON, Canada.
Wangqiu DengState Key Laboratory of Applied Microbiology in Southern China, and Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.
Mu WangSchool of Ecology and Environment, Tibet University, Lhasa, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil microbial communities play a vital role in accelerating nutrient cycling and stabilizing ecosystem functions in forests. However, the diversity of soil microbiome and the mechanisms driving their distribution patterns along elevational gradients in montane areas remain largely unknown. In this study, we investigated the soil microbial diversity along an elevational gradient from 650 m to 3,800 m above sea level in southeast Tibet, China, through DNA metabarcode sequencing of both the bacterial and fungal communities. Our results showed that the dominant bacterial phyla across elevations were Proteobacteria, Acidobacteriota and Actinobacteriota, and the dominant fungal phyla were Ascomycota and Basidiomycota. The Simpson indices of both soil bacteria and fungi demonstrated a hollow trend along the elevational gradient, with an abrupt decrease in bacterial and fungal diversity at 2,600 m a.s.l. in coniferous and broad-leaved mixed forests (CBM). Soil bacterial chemoheterotrophy was the dominant lifestyle and was predicted to decrease with increasing elevation. In terms of fungal lifestyles, saprophytic and symbiotic fungi were the dominant functional communities but their relative abundance was negatively correlated with increasing elevation. Environmental factors including vegetation type (VEG), altitude (ALT), soil pH, total phosphorus (TP), nitrate nitrogen (NO

Indexed as

altitudinal gradientmicrobial communitiesQinghai-Tibet Plateausoil ecologysubtropical forests

Identifiers

PMID39834362
PMCPMC11743684

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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.