Evidence map›Paper›PMID 30038421›Full record

ArticleScientific reports2018

Actinobacteria associated with Chinaberry tree are diverse and show antimicrobial activity.

Ke Zhao, Jing Li, Meiling Shen, Qiang Chen, Maoke Liu, Xiaolin Ao, Decong Liao, Yunfu Gu, Kaiwei Xu, Menggen Ma and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. 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
–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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

15 authors.

Ke ZhaoDepartment of Microbiology, College of Resource and Environmental Sciences, Sichuan Agricultural University, Yaan, 625000, P. R. China. zhaoke82@126.com.
Jing LiDepartment of Microbiology, College of Resource and Environmental Sciences, Sichuan Agricultural University, Yaan, 625000, P. R. China.
Meiling ShenDepartment of Microbiology, College of Resource and Environmental Sciences, Sichuan Agricultural University, Yaan, 625000, P. R. China.
Qiang ChenDepartment of Microbiology, College of Resource and Environmental Sciences, Sichuan Agricultural University, Yaan, 625000, P. R. China.
Maoke LiuBiotechnology Center, Rice and Sorghum Research Institute, Sichuan Academy of Agricultural Sciences, Luzhou, 646100, P. R. China.
Xiaolin AoDepartment of Microbiology, College of Resource and Environmental Sciences, Sichuan Agricultural University, Yaan, 625000, P. R. China.
Decong LiaoDepartment of Microbiology, College of Resource and Environmental Sciences, Sichuan Agricultural University, Yaan, 625000, P. R. China.
Yunfu GuDepartment of Microbiology, College of Resource and Environmental Sciences, Sichuan Agricultural University, Yaan, 625000, P. R. China.
Kaiwei XuDepartment of Microbiology, College of Resource and Environmental Sciences, Sichuan Agricultural University, Yaan, 625000, P. R. China.
Menggen MaDepartment of Microbiology, College of Resource and Environmental Sciences, Sichuan Agricultural University, Yaan, 625000, P. R. China.
Xiumei YuDepartment of Microbiology, College of Resource and Environmental Sciences, Sichuan Agricultural University, Yaan, 625000, P. R. China.
Quanju XiangDepartment of Microbiology, College of Resource and Environmental Sciences, Sichuan Agricultural University, Yaan, 625000, P. R. China.
Ji ChenDepartment of Microbiology, College of Resource and Environmental Sciences, Sichuan Agricultural University, Yaan, 625000, P. R. China.
Xiaoping ZhangDepartment of Microbiology, College of Resource and Environmental Sciences, Sichuan Agricultural University, Yaan, 625000, P. R. China.
Petri PenttinenZhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, School of Environmental & Resource Sciences, Zhejiang Agriculture & Forestry University, Linan, 311300, P. R. China. petri.penttinen@helsinki.fi.ORCID 0000-0002-9203-9484

Funding

Department of Science and Technology of Sichuan Province (Sichuan Provincial Department of Science and Technology) 2013HH0024
6 · The paper itself

Abstract

Many actinobacteria produce secondary metabolites that include antimicrobial compounds. Since most of the actinobacteria cannot be cultivated, their antimicrobial potential awaits to be revealed. We hypothesized that the actinobacterial endophyte communities inside Melia toosendan (Chinaberry) tree are diverse, include strains with antimicrobial activity, and that antimicrobial activity can be detected using a cultivation independent approach and co-occurrence analysis. We isolated and identified actinobacteria from Chinaberry, tested their antimicrobial activities, and characterized the communities using amplicon sequencing and denaturing gradient gel electrophoresis as cultivation independent methods. Most of the isolates were identified as Streptomyces spp., whereas based on amplicon sequencing the most abundant OTU was assigned to Rhodococcus, and Tomitella was the most diverse genus. Out of the 135 isolates, 113 inhibited the growth of at least one indicator organism. Six out of the 7577 operational taxonomic units (OTUs) matched 46 cultivated isolates. Only three OTUs, Streptomyces OTU4, OTU11, and OTU26, and their corresponding isolate groups were available for comparing co-occurrences and antimicrobial activity. Streptomyces OTU4 correlated negatively with a high number of OTUs, and the isolates corresponding to Streptomyces OTU4 had high antimicrobial activity. However, for the other two OTUs and their corresponding isolate groups there was no clear relation between the numbers of negative correlations and antimicrobial activity. Thus, the applicability of co-occurrence analysis in detecting antimicrobially active actinobacteria could not be proven.

Indexed as

ActinobacteriaAnti-Infective AgentsBacteriaMelia azedarachMicrobial Sensitivity TestsAnti-Infective Agents

Identifiers

PMID30038421
PMCPMC6056502

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Registered trials

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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.