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Microbial Diversity, Community Turnover, and Putative Functions in Submarine Canyon Sediments under the Action of Sedimentary Geology.

Microbiology spectrum | 2023

Sampling challenges in deep-sea ecosystems lead to a lack of knowledge about the distribution of microbes in different submarine canyons. To study microbial diversity and community turnover under different ecological processes, we performed 16S/18S rRNA gene amplicon sequencing for sediment samples from a submarine canyon in the South China Sea. Bacteria, archaea, and eukaryotes made up 57.94% (62 phyla), 41.04% (12 phyla), and 1.02% (4 phyla) of the sequences, respectively. Thaumarchaeota, Planctomycetota, Proteobacteria, Nanoarchaeota, and Patescibacteria are the five most abundant phyla. Heterogeneous community composition was mainly observed in vertical profiles rather than horizontal geographic locations, and microbial diversity in the surface layer was much lower than that in deep layers. According to the null model tests, homogeneous selection dominated community assembly within each sediment layer, whereas heterogeneous selection and dispersal limitation dominated community assembly between distant layers. Different sedimentation processes of sediments, i.e., rapid deposition caused by turbidity currents or slow sedimentation, seem to be primarily responsible for these vertical variations. Finally, functional annotation through shotgun-metagenomic sequencing found that glycosyl transferases and glycoside hydrolases are the most abundant carbohydrate-active enzyme categories. The most likely expressed sulfur cycling pathways include assimilatory sulfate reduction, the link between inorganic and organic sulfur transformation, and organic sulfur transformation, while the potentially activated methane cycling pathways include aceticlastic methanogenesis and aerobic and anaerobic oxidation of methane. Overall, our study revealed high levels of microbial diversity and putative functions in canyon sediments and the important influence of sedimentary geology on microbial community turnover between vertical sediment layers. IMPORTANCE Deep-sea microbes have received growing attention due to their contribution to biogeochemical cycles and climate change. However, related research lags due to the difficulty of collecting samples. Based on our previous study, which revealed the formation of sediments under the dual action of turbidity currents and seafloor obstacles in a submarine canyon in the South China Sea, this interdisciplinary research provides new insights into how sedimentary geology influences microbial community assembly in sediments. We proposed some uncommon or new findings, including the following: (i) microbial diversity was much lower on the surface than in deeper layers (ii) archaea and bacteria dominated the surface and deep layers, respectively; (iii) sedimentary geology played key roles in vertical community turnover; and (iv) the microbes have great potential to catalyze sulfur, carbon, and methane cycling. This study may lead to extensive discussion of the assembly and function of deep-sea microbial communities in the context of geology.

Pubmed ID: 36802161 RIS Download

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This is a list of tools and resources that we have found mentioned in this publication.


SILVA (tool)

RRID:SCR_006423

High quality ribosomal RNA databases providing comprehensive, quality checked and regularly updated datasets of aligned small (16S/18S, SSU) and large subunit (23S/28S, LSU) ribosomal RNA (rRNA) sequences for all three domains of life (Bacteria, Archaea and Eukarya). Supplementary services include a rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. The extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches. Alignment tool, SINA, is available for download as well as available for use online.

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Trimmomatic (tool)

RRID:SCR_011848

Software Java pipeline for trimming tasks for Illumina paired end and single ended data. Flexible Trimmer for Illumina Sequence Data. Pair aware preprocessing tool optimized for Illumina next generation sequencing data. Includes several processing steps for read trimming and filtering. Operating systems Unix/Linux, Mac OS, Windows.

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Prodigal (tool)

RRID:SCR_011936

Software tool for protein coding gene prediction for prokaryotic genomes.

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ggplot2 (tool)

RRID:SCR_014601

Open source software package for statistical programming language R to create plots based on grammar of graphics. Used for data visualization to break up graphs into semantic components such as scales and layers.

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