Evidence map›Paper›PMID 31852979›Full record

ArticleScientific reports2019

Habitat filtering shapes the differential structure of microbial communities in the Xilingol grassland.

Jie Yang, Yanfen Wang, Xiaoyong Cui, Kai Xue, Yiming Zhang, Zhisheng Yu

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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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

13 citing papers in PubMed.

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  9. An overview ofApplied and environmental microbiology · 2024
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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

6 authors.

Jie YangCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Yanfen WangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Xiaoyong CuiCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Kai XueCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Yiming ZhangBeijing Municipal Ecological Environment Bureau, Beijing, 100048, China.
Zhisheng YuCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China. yuzs@ucas.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial variability of microorganisms in grasslands can provide important insights regarding the biogeographic patterns of microbial communities. However, information regarding the degree of overlap and partitions of microbial communities across different habitats in grasslands is limited. This study investigated the microbial communities in three distinct habitats from Xilingol steppe grassland, i.e. animal excrement, phyllosphere, and soil samples, by Illumina MiSeq sequencing. All microbial community structures, i.e. for bacteria, archaea, and fungi, were significantly distinguished according to habitat. A high number of unique microorganisms but few coexisting microorganisms were detected, suggesting that the structure of microbial communities was mainly regulated by species selection and niche differentiation. However, the sequences of those limited coexisting microorganisms among the three different habitats accounted for over 60% of the total sequences, indicating their ability to adapt to variable environments. In addition, the biotic interactions among microorganisms based on a co-occurrence network analysis highlighted the importance of Microvirga, Blastococcus, RB41, Nitrospira, and four norank members of bacteria in connecting the different microbiomes. Collectively, the microbial communities in the Xilingol steppe grassland presented strong habitat preferences with a certain degree of dispersal and colonization potential to new habitats along the animal excrement- phyllosphere-soil gradient. This study provides the first detailed comparison of microbial communities in different habitats in a single grassland, and offers new insights into the biogeographic patterns of the microbial assemblages in grasslands.

Indexed as

GrasslandMicrobiotaAnimalsArchaeaBacteriaBiodiversityChinaFungiPrincipal Component AnalysisSoil Microbiology

Identifiers

PMID31852979
PMCPMC6920139

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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.