4.5 Article

In-situ sequencing reveals the effect of storage on lacustrine sediment microbiome demographics and functionality

Journal

ENVIRONMENTAL MICROBIOME
Volume 17, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s40793-022-00400-w

Keywords

sedDNA; sedRNA; Storage; Holocene sediments; Microbiome; ONT MinION sequencing; Bioinformatics

Funding

  1. University of Exeter

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The storage and processing of sediment samples can significantly affect the detectable microbial community, especially for Proteobacteria species. On-site purifications and rapid environmental sequencing are recommended to ensure an accurate representation of the sediment microbiome.
The sediment microbiome is a demographically diverse and functionally active biosphere. Ensuring that data acquired from sediment is truly representative of the microbiome is critical to achieving robust analyses. Sample storage and the processing and timing of nucleic acid purification after environmental sample extraction may fundamentally affect the detectable microbial community and thereby significantly alter resultant data. Direct sequencing of environmental samples is increasingly commonplace due to the advent of the portable Oxford Nanopore MinION sequencing device. Here we demonstrate that storing sediment subsamples at - 20 degrees C or storing the cores at 4 degrees C for 10 weeks prior to analysis, has a significant effect on the sediment microbiome analysed using sedimentary DNA (sedDNA), especially for Alpha-, Beta- and Deltaproteobacteria species. Furthermore, these significant differences are observed regardless of sediment type. We show that the taxa which are predominantly affected by storage are Proteobacteria, and therefore recommend on-site purifications are performed to ensure an accurate representation of these taxa are observed in the microbiome. Comparisons of sedimentary RNA (sedRNA) analyses, revealed substantial differences between samples purified and sequenced immediately on-site, samples that were frozen before transportation, and cores that were stored at 4 degrees C prior to analysis. Our data therefore suggest that a more accurate representation of the sediment microbiome demography and functionality may be achieved by environmental sequencing as rapidly as possible to minimise confounding effects of storage.

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