Evidence map›Paper›PMID 36531805›Full record

ArticleIranian journal of microbiology2022

Suppression of predominant interfering bacteria in the purification process of myxobacteria.

Nasim Rouhizohrab, Fatemeh Mohammadipanah

Open access · diamondAbstract read
In one paragraph

Article in Iranian journal of microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Nasim RouhizohrabPharmaceutical Biotechnology Lab, Department of Microbial Biotechnology, School of Biology and Center of Excellence in Phylogeny of Living Organisms, College of Science, University of Tehran, Tehran, Iran.
Fatemeh MohammadipanahPharmaceutical Biotechnology Lab, Department of Microbial Biotechnology, School of Biology and Center of Excellence in Phylogeny of Living Organisms, College of Science, University of Tehran, Tehran, Iran.
University of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Myxobacteria initially recognized by their complex life cycle and social behavior are progressively explored for their bioactive secondary metabolites. However, isolation of myxobacteria usually is accompanied by bacterial and fungal contaminations due to the direct cultivation of soil on isolation media, which results in severe challenges in the purification of myxobacteria. Therefore, it is necessary to improve their purification techniques from natural samples to the discovery of new biomolecules. Materials and Methods: In the present study, six physichochemical methods were assessed for their efficacy in the purification of myxobacterial strains and specially from contaminants of Results: Among the evaluated treatments, purification of fruiting bodies using a combination of ultrasonication and heat treatment was identified as the effective protocol with 80% success rate in the purification of myxobacterial strains and reducing up to 90% of the contaminating bacteria. Conclusion: Concerning the problematic contamination of myxobacterial isolates, the introduced approach can retrieve the myxobacterial strains which are often suppressed by the over growth of contaminations especially root symbiotic bacteria namely

Indexed as

Heat treatmentMyxobacteriaStrain purificationUltrasonication

Identifiers

PMID36531805
PMCPMC9723438
OpenAlexW4307199091

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.