Published July 12, 2021 | Version v1

Bacterial and archaeal communities in the Clarion-Clipperton Zone: comparison between adjacent seamount and abyssal plain communities

  • 1. University of Montana
  • 2. University of Hawaii at Mānoa

Description

This dataset contrasts microbial communities from abyssal plain and seamount samples, collected on the DeepCCZ cruise to the western Clarion-Clipperton Zone in May-June 2018. This cruise sampled paired plain and seamount sites in three Areas of Particular Environmental Interest (APEIs). Samples included CTD casts to collect overlying water and sediment cores and polymetallic nodules (only present on the plains in two APEIs) collected using an ROV.

Genomic DNA was extracted from these samples; 16S rRNA genes were amplified using primers targeting the V4-V5 hypervariable regions (as recommended by Parada et al. 2016 doi: 10.1111/1462-2920.13023); and sequenced used PE250v2 chemistry on an Illumina MiSeq. Sequences were quality-controlled, clustered into amplicon sequence variants (ASVs) using DADA2 (Callahan et al. 2016 doi: 10.1038/nmeth.3869), and classified using Silva v138 (Quast et al. 2013 doi: 10.1093/nar/gks1219). Differential abundances between comparisons of interest were calculated using DESeq2 on unnormalized datasets following the authors' recommendations (Love et al. 2014 doi: 10.1186/s13059-014-0550-8). Raw sequences are archived with the Sequence Read Archive (https://www.ncbi.nlm.nih.gov/sra) under project code PRJNA660809.

Datasets archived here include:

1) DeepCCZ_topography_metadata.xlsx: sampling location and other collection metadata, as well as all available environmental data (e.g., inorganic nutrients, total organic carbon, cell abundance counts), for DNA samples archived in this dataset

2) DeepCCZ_topography_unnormalized_counts.xlsx: quality-controlled but otherwise unprocessed ASV results, including sequences associated with each ASV

3) DeepCCZ_topography_relabund_UniFrac_with3ums.xlsx: quality-controlled ASV results, subsampled to a lower read count that accommodates the lower-yield 3 µm filter size samples; this sheet includes both relative abundances and a weighted UniFrac distance matrix

4) DeepCCZ_topography_relabund_UniFrac_no3ums.xlsx: quality-controlled ASV results, subsampled to a higher read count that excludes the lower-yield 3 µm filter size samples; this sheet includes both relative abundances and a weighted UniFrac distance matrix

5) DeepCCZ_topography_DESeq_*.xlsx (7 files): a series of results from numerous DESeq2 tests (Love et al. 2014 doi: 10.1186/s13059-014-0550-8) to identify differentially abundant ASVs in different sample categories. Tests were run on non-subsampled counts, as recommended.

6) DeepCCZ_topography_diversity_metrics.xlsx: ASV richness, Pielou's evenness, and Shannon diversity for both levels of subsampling

 

Contact for questions about this dataset: Emma Wear, ekwear.oceans@gmail.com

Notes

Funding: This work was funded by the Gordon and Betty Moore Foundation (grant 5596 to M. Church, C. Smith, and J. Drazen), with additional ship and ROV time to sample seamounts funded by the NOAA Office of Ocean Exploration and Research (grant NA17OAR0110209 to J. Drazen and C. Smith) and the School of Ocean, and Earth, Science and Technology at the University of Hawai'i at Mānoa.

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Additional details

Related works

Is supplemented by
Software documentation: https://github.com/ekwear/DeepCCZtopography (URL)