Evidence map›Paper›PMID 31187206›Full record

ArticleCurrent microbiology2019

An Aminoglycoside Antibacterial Substance, S-137-R, Produced by Newly Isolated Bacillus velezensis Strain RP137 from the Persian Gulf.

Roya Pournejati, Ronald Gust, Hamid Reza Karbalaei-Heidari

Abstract read
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In one paragraph

Article in Current microbiology, 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
2.1field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Roya PournejatiMolecular Biotechnology Laboratory, Department of Biology, Faculty of Science, Shiraz University, P.O. Box: 71467-13565, Shiraz, 71454, Iran.
Ronald GustDepartment of Pharmaceutical Chemistry, Institute of Pharmacy, Center for Molecular Biosciences Innsbruck, University of Innsbruck, CCB - Centrum for Chemistry and Biomedicine, Innrain 80-82, 6020, Innsbruck, Austria.
Hamid Reza Karbalaei-HeidariMolecular Biotechnology Laboratory, Department of Biology, Faculty of Science, Shiraz University, P.O. Box: 71467-13565, Shiraz, 71454, Iran. karbalaei@shirazu.ac.ir.ORCID http://orcid.org/0000-0001-5217-9266
Shiraz University · IRUniversität Innsbruck · AT

Funding

Iran National Science Foundation 93035486Österreichische Forschungsförderungsgesellschaft 858017
6 · The paper itself

Abstract

Given antibiotic resistance in pathogens, finding antibiotics from new sources is always a topic of interest to scientists. In the present study, among various isolates from the Persian Gulf coastal area, the strain RP137 was selected as producer of antibacterial compound. Morphological and biochemical studies along with 16S rDNA sequencing showed that strain RP137 belongs to Bacillus genus and was tentatively named Bacillus velezensis strain RP137. The effect of various carbon and nitrogen sources on optimizing the production of antibacterial compound showed that the low-cost rice starch and potassium nitrate supply to the strain RP137 caused producing of 86.0 ± 8.7 µg/mL extract having the antibacterial activity. The fractionation of the primary methanol extract in different solvents followed by reversed-phase HPLC obtained a pure antibacterial-active sample, S-137-R. Structural analysis of the purified S-137-R with the help of FTIR, HR-MS,

Indexed as

AminoglycosidesAnti-Bacterial AgentsBacillusEscherichia coliIndian OceanMicrobial Sensitivity TestsPseudomonas aeruginosaSeawaterStaphylococcus aureusAminoglycosidesAnti-Bacterial Agents

Identifiers

PMID31187206
OpenAlexW2949137114

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.