Literature DB >> 27476485

Evaluating methods for purifying cyanobacterial cultures by qPCR and high-throughput Illumina sequencing.

Karina Heck1, Gabriela Silva Machineski1, Danillo Oliveira Alvarenga1, Marcelo Gomes Marçal Vieira Vaz1, Alessandro de Mello Varani2, Marli Fátima Fiore3.   

Abstract

Cyanobacteria are commonly found in association with other microorganisms, which constitutes a great challenge during the isolation of cyanobacterial strains. Although several methods have been published for obtaining axenic cyanobacterial cultures, their efficiency is usually evaluated by observing the growth of non-cyanobacteria in culture media. In order to verify whether uncultured bacteria should be a concern during cyanobacterial isolation, this work aimed to detect by molecular methods sequences from cyanobacteria and other bacteria present before and after a technique for obtaining axenic cultures from plating and exposure of Fischerella sp. CENA161 akinetes to the Extran detergent and sodium hypochlorite. Solutions containing 0.5, 1, and 2% sodium hypochlorite were able to remove contaminant bacterial CFUs from the culture. However, qPCR pointed that the quantity of sequences amplified with universal bacteria primers was higher than the number of cyanobacteria-specific sequences before and after treatments. The presence of uncultured bacteria in post-hypochlorite cultures was confirmed by high-throughput Illumina sequencing. These results suggest that culturing may overlook the presence of uncultured bacteria associated to cyanobacterial strains and is not sufficient for monitoring the success of cyanobacterial isolation by itself. Molecular methods such as qPCR could be employed as an additional measure for evaluating axenity in cyanobacterial strains.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Akinetes; Axenic cultures; Fischerella; Metagenomics; Symbiosis

Mesh:

Substances:

Year:  2016        PMID: 27476485     DOI: 10.1016/j.mimet.2016.07.023

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  4 in total

1.  Challenging a bioinformatic tool's ability to detect microbial contaminants using in silico whole genome sequencing data.

Authors:  Nathan D Olson; Justin M Zook; Jayne B Morrow; Nancy J Lin
Journal:  PeerJ       Date:  2017-09-12       Impact factor: 2.984

Review 2.  A Metagenomic Approach to Cyanobacterial Genomics.

Authors:  Danillo O Alvarenga; Marli F Fiore; Alessandro M Varani
Journal:  Front Microbiol       Date:  2017-05-09       Impact factor: 5.640

Review 3.  Advances in the Biotechnological Potential of Brazilian Marine Microalgae and Cyanobacteria.

Authors:  Deborah Terra de Oliveira; Ana Alice Farias da Costa; Fabíola Fernandes Costa; Geraldo Narciso da Rocha Filho; Luís Adriano Santos do Nascimento
Journal:  Molecules       Date:  2020-06-24       Impact factor: 4.411

4.  How to Verify Non-Presence-The Challenge of Axenic Algae Cultivation.

Authors:  Leo Pokorny; Bela Hausmann; Petra Pjevac; Michael Schagerl
Journal:  Cells       Date:  2022-08-20       Impact factor: 7.666

  4 in total

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