Evidence map›Paper›PMID 31608036›Full record

ArticleFrontiers in microbiology2019

Variation in Actinobacterial Community Composition and Potential Function in Different Soil Ecosystems Belonging to the Arid Heihe River Basin of Northwest China.

Binglin Zhang, Xiukun Wu, Xisheng Tai, Likun Sun, Minghui Wu, Wei Zhang, Ximing Chen, Gaosen Zhang, Tuo Chen, Guangxiu Liu and 1 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 citing papers in PubMed.

  1. Article
  2. ExploringAntibiotics (Basel, Switzerland) · 2026
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  12. Actinomycetes in the spotlight: biodiversity and their role in bioremediation.World journal of microbiology & biotechnology · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

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

11 authors.

Binglin ZhangState Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China.
Xiukun WuKey Laboratory of Extreme Environmental Microbial Resources and Engineering, Lanzhou, China.
Xisheng TaiCollege of Geography and Environmental Engineering, Lanzhou City University, Lanzhou, China.
Likun SunCollege of Animal Science, Gansu Agricultural University, Lanzhou, China.
Minghui WuState Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China.
Wei ZhangKey Laboratory of Extreme Environmental Microbial Resources and Engineering, Lanzhou, China.
Ximing ChenKey Laboratory of Extreme Environmental Microbial Resources and Engineering, Lanzhou, China.
Gaosen ZhangKey Laboratory of Extreme Environmental Microbial Resources and Engineering, Lanzhou, China.
Tuo ChenState Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China.
Guangxiu LiuKey Laboratory of Extreme Environmental Microbial Resources and Engineering, Lanzhou, China.
Paul DysonInstitute of Life Science, Swansea University Medical School, Swansea, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Actinobacteria are known for their metabolic potential of producing diverse secondary metabolites such as antibiotics. Actinobacteria also playimportant roles in biogeochemical cycling and how soils develop. However, little is known about the effect of the vegetation type on the actinobacterial community structures in soils from arid regions. For these reasons, we have analyzed the actinobacterial communities of five types of ecosystem (tree grove, shrub, meadow, desert, and farm) in the Heihe river basin. Using 16S rRNA high-throughput sequencing, we found 11 classes of Actinobacteria, with dominant classes of Actinobacteria (36.2%), Thermoleophilia (28.3%), Acidimicrobiia (19.4%). Five classes, 15 orders, 20 families and 36 genera were present in all samples. The dominant generalist genera were

Indexed as

actinobacterial communityarid regiondiversityHeihe rivervegetation gradient

Identifiers

PMID31608036
PMCPMC6769177

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.