Development of real-time PCR methods for the quantification of Methanoculleus, Methanosarcina and Methanobacterium in anaerobic digestion.


Journal

Journal of microbiological methods
ISSN: 1872-8359
Titre abrégé: J Microbiol Methods
Pays: Netherlands
ID NLM: 8306883

Informations de publication

Date de publication:
08 2022
Historique:
received: 26 04 2022
revised: 18 06 2022
accepted: 22 06 2022
pubmed: 1 7 2022
medline: 10 8 2022
entrez: 30 6 2022
Statut: ppublish

Résumé

Anaerobic digestion is a growing technology to manage organic waste and produce bioenergy. To promote this technology, it is essential to know, at the molecular level, the dynamics of microbial communities, specifically the methanogenic community. In the present study, three primer pairs were selected from seven primer pairs which were designed and tested with different concentrations and conditions to detect Methanosarcina, Methanoculleus and Methanobacterium by real-time PCR based on the SYBR Green System. The functionality of the developed methods was demonstrated by the high linear relationship of the standard curves, and the specificity of each primer was empirically verified by testing DNA isolated from methane-producing and non-producing strains. These assays also exhibited good repeatability and reproducibility, which indicates the robustness of the methods. The described primers were successfully used to investigate the methanogenic communities of 10 samples from an anaerobic co-digestion. The genus Methanosarcina was the dominant methanogenic group.

Identifiants

pubmed: 35772572
pii: S0167-7012(22)00124-5
doi: 10.1016/j.mimet.2022.106529
pii:
doi:

Substances chimiques

Methane OP0UW79H66

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

106529

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Auteurs

Consolación Sánchez-Sánchez (C)

Departamento de Física Aplicada, Escuela de Ingenierías Agrarias, Universidad de Extremadura, Avda, de Adolfo Suárez S/n, 06007 Badajoz, Spain.

Mercedes Aranda-Medina (M)

Expresión Gráfica, Escuela de Ingenierías Industriales, Campus Universitario, Avda de Elvas sn, 06006 Badajoz, Spain.

Alicia Rodríguez (A)

Instituto Universitario de Investigación de Recursos Agrarios (INURA), Escuela de Ingenierías Agrarias, Universidad de Extremadura, Avda. Adolfo Suarez, s/n, 06071 Badajoz, Spain. Electronic address: aliciarj@unex.es.

Alejandro Hernández (A)

Instituto Universitario de Investigación de Recursos Agrarios (INURA), Escuela de Ingenierías Agrarias, Universidad de Extremadura, Avda. Adolfo Suarez, s/n, 06071 Badajoz, Spain.

María G Córdoba (MG)

Instituto Universitario de Investigación de Recursos Agrarios (INURA), Escuela de Ingenierías Agrarias, Universidad de Extremadura, Avda. Adolfo Suarez, s/n, 06071 Badajoz, Spain.

Francisco Cuadros-Blázquez (F)

Departamento de Física Aplicada, Escuela de Ingenierías Agrarias, Universidad de Extremadura, Avda, de Adolfo Suárez S/n, 06007 Badajoz, Spain.

Santiago Ruiz-Moyano (S)

Instituto Universitario de Investigación de Recursos Agrarios (INURA), Escuela de Ingenierías Agrarias, Universidad de Extremadura, Avda. Adolfo Suarez, s/n, 06071 Badajoz, Spain.

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