RNA extraction protocol from low-biomass bacterial Nitrosomonas europaea and Nitrobacter winogradskyi cultures for whole transcriptome studies.

Microbiology Molecular Biology RNAseq

Journal

STAR protocols
ISSN: 2666-1667
Titre abrégé: STAR Protoc
Pays: United States
ID NLM: 101769501

Informations de publication

Date de publication:
21 Jun 2023
Historique:
received: 26 02 2023
revised: 25 04 2023
accepted: 16 05 2023
medline: 22 6 2023
pubmed: 22 6 2023
entrez: 22 6 2023
Statut: aheadofprint

Résumé

RNA-sequencing for whole transcriptome analysis requires high-quality RNA in adequate amounts, which can be difficult to generate with low-biomass-producing bacteria where sample volume is limited. We present an RNA extraction protocol for low-biomass-producing autotrophic bacteria Nitrosomonas europaea and Nitrobacter winogradskyi cultures. We describe steps for sample collection, lysozyme-based enzymatic lysis, and a commercial silica-column-based RNA extraction. We then detail evaluation of RNA yield and quality for downstream applications such as RNA-Seq. For complete details on the use and execution of this protocol, please refer to Verbeelen et al.

Identifiants

pubmed: 37347668
pii: S2666-1667(23)00325-8
doi: 10.1016/j.xpro.2023.102358
pmc: PMC10331297
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102358

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

Références

J Microbiol Methods. 2008 Oct;75(2):318-24
pubmed: 18674572
PLoS One. 2014 Mar 14;9(3):e91851
pubmed: 24632678
BMC Biol. 2014 May 30;12:42
pubmed: 24885439
iScience. 2022 Oct 09;25(11):105311
pubmed: 36345334
Genes Brain Behav. 2013 Feb;12(1):1-12
pubmed: 23194347

Auteurs

Tom Verbeelen (T)

Microbiology Unit, Nuclear Medical Applications, Belgian Nuclear Research Centre (SCK CEN), 2400 Mol, Belgium; Center for Microbial Ecology and Technology (CMET), Faculty of Bioscience Engineering, Ghent University, 9000 Ghent, Belgium.

Rob Van Houdt (R)

Microbiology Unit, Nuclear Medical Applications, Belgian Nuclear Research Centre (SCK CEN), 2400 Mol, Belgium.

Natalie Leys (N)

Microbiology Unit, Nuclear Medical Applications, Belgian Nuclear Research Centre (SCK CEN), 2400 Mol, Belgium.

Ramon Ganigué (R)

Center for Microbial Ecology and Technology (CMET), Faculty of Bioscience Engineering, Ghent University, 9000 Ghent, Belgium; Centre for Advanced Process Technology for Urban REsource Recovery (CAPTURE), 9000 Ghent, Belgium.

Felice Mastroleo (F)

Microbiology Unit, Nuclear Medical Applications, Belgian Nuclear Research Centre (SCK CEN), 2400 Mol, Belgium. Electronic address: felice.mastroleo@sckcen.be.

Classifications MeSH