Evidence map›Paper›PMID 35364696›Full record

ArticleMicrobial ecology2023

Relationships Between Soil Microbial Diversities Across an Aridity Gradient in Temperate Grasslands : Soil Microbial Diversity Relationships.

Nana Liu, Huifeng Hu, Wenhong Ma, Ye Deng, Dimitar Dimitrov, Qinggang Wang, Nawal Shrestha, Xiangyan Su, Kai Feng, Yuqing Liu and 4 more

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

7 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Seasonal changes in the abundanceFrontiers in plant science · 2023
    Article
  7. SoilFrontiers in microbiology · 2022
    Article
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

14 authors at 8 institutions in 3 countries.

Nana LiuInstitute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0001-8745-108X
Huifeng HuState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Wenhong MaCollege of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China.
Ye DengCAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Dimitar DimitrovDepartment of Natural History, University Museum of Bergen, University of Bergen, Bergen, Norway.
Qinggang WangDepartment of Ecology and Ecological Engineering, College of Resources and Environmental Sciences, and Key Laboratory of Biodiversity and Organic Farming of Beijing City, China Agricultural University, Beijing, 100193, China.
Nawal ShresthaState Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology, Lanzhou University, Lanzhou, 730000, China.
Xiangyan SuInstitute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
Kai FengCAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Yuqing LiuState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Baihui HaoCollege of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China.
Xinying ZhangState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Xiaojuan FengState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China. xfeng@ibcas.ac.cn.
Zhiheng WangInstitute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China. zhiheng.wang@pku.edu.cn.
Chinese Academy of Sciences · CNInner Mongolia University · CNChina Agricultural University · CNInstitute of Botany · CNLanzhou University · CNMinistry of Education · ROPeking University · CNUniversity of Bergen · NO

Funding

national key research development program of china 2017YFA0605101the National Natural Science Foundation of China 31988102the National Natural Science Foundation of China 32125026the Strategic Priority Research Program of Chinese Academy of Sciences XDB31000000the Youth Fund of Ministry of Education Laboratory for Earth Surface Processes of Peking University LESP201702
6 · The paper itself

Abstract

Soil microbes assemble in highly complex and diverse microbial communities, and microbial diversity patterns and their drivers have been studied extensively. However, diversity correlations and co-occurrence patterns between bacterial, fungal, and archaeal domains and between microbial functional groups in arid regions remain poorly understood. Here we assessed the relationships between the diversity and abundance of bacteria, fungi, and archaea and explored how environmental factors influence these relationships. We sampled soil along a 1500-km-long aridity gradient in temperate grasslands of Inner Mongolia (China) and sequenced the 16S rRNA gene of bacteria and archaea and the ITS2 gene of fungi. The diversity correlations and co-occurrence patterns between bacterial, fungal, and archaeal domains and between different microbial functional groups were evaluated using α-diversity and co-occurrence networks based on microbial abundance. Our results indicate insignificant correlations among the diversity patterns of bacterial, fungal, and archaeal domains using α-diversity but mostly positive correlations among diversity patterns of microbial functional groups based on α-diversity and co-occurrence networks along the aridity gradient. These results suggest that studying microbial diversity patterns from the perspective of functional groups and co-occurrence networks can provide additional insights on patterns that cannot be accessed using only overall microbial α-diversity. Increase in aridity weakens the diversity correlations between bacteria and fungi and between bacterial and archaeal functional groups, but strengthens the positive diversity correlations between bacterial functional groups and between fungal functional groups and the negative diversity correlations between bacterial and fungal functional groups. These variations of the diversity correlations are associated with the different responses of microbes to environmental factors, especially aridity. Our findings demonstrate the complex responses of microbial community structure to environmental conditions (especially aridity) and suggest that understanding diversity correlations and co-occurrence patterns between soil microbial groups is essential for predicting changes in microbial communities under future climate change in arid regions.

Indexed as

GrasslandSoilArchaeaBacteriaFungiRNA, Ribosomal, 16SSoil MicrobiologyRNA, Ribosomal, 16SSoilArchaeaBacteriaCo-occurrence networkDiversity correlationFunctional groupFungi

Identifiers

PMID35364696
OpenAlexW4225807700

What OpenQuestion holds

Textmetadata
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.