Simultaneous analysis of seven 16S rRNA hypervariable gene regions increases efficiency in marine bacterial diversity detection

  • Environmental DNA sequencing is the gold standard to reveal microbial community structures. In most applications, a one-fragment PCR approach is applied to amplify a taxonomic marker gene, usually a hypervariable region of the 16S rRNA gene. We used a new reverse complement (RC)-PCR-based assay that amplifies seven out of the nine hypervariable regions of the 16S rRNA gene, to interrogate bacterial communities in sediment samples collected from different coastal marine sites with an impact gradient. In parallel, we employed a traditional one-fragment analysis of the hypervariable V3–V4 region to investigate whether the RC-PCR reveals more of the ‘unseen’ diversity obtained by the one-fragment approach. As a benchmark for the full deck of diversity, we subjected the samples to PCR-free metagenomic sequencing. None of the two PCR-based approaches recorded the full taxonomic repertoire obtained from the metagenomics datasets. However, the RC-PCR approach detected 2.8 times more bacterial genera compared to the near-saturation sequenced V3–V4 samples. RC-PCR is an ideal compromise between the standard one-fragment approach and metagenomics sequencing and may guide future environmental sequencing studies, in which bacterial diversity is a central subject.

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Metadaten
Author:Kleopatra Leontidou, Ion L. Abad-Recio, Verena Rubel, Sabine Filker, Martin Däumer, Alexander Thielen, Anders Lanzén, Thorsten StoeckORCiD
URN:urn:nbn:de:hbz:386-kluedo-88907
DOI:https://doi.org/10.1111/1462-2920.16530
ISSN:1462-2912
Parent Title (English):Environmental Microbiology
Publisher:Wiley
Editor:Gareth Jenkins
Document Type:Article
Language of publication:English
Date of Publication (online):2025/04/01
Year of first Publication:2023
Publishing Institution:Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Date of the Publication (Server):2025/04/04
Issue:(2023) Vol.25 / 12
Page Number:18
First Page:3484
Last Page:3501
Source:https://enviromicro-journals.onlinelibrary.wiley.com/doi/10.1111/1462-2920.16530
Faculties / Organisational entities:Landau - Fachbereich Natur- und Umweltwissenschaften
DDC-Cassification:5 Naturwissenschaften und Mathematik / 570 Biowissenschaften, Biologie
Collections:Open-Access-Publikationsfonds
Licence (German):Creative Commons 4.0 - Namensnennung (CC BY 4.0)