Dataset

Temporal dynamics of eukaryotic microbial diversity at a coastal Pacific site

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High-throughput sequencing of ocean biomes has revealed vast eukaryotic microbial diversity, asignificant proportion of which remains uncharacterized. Here we use a temporal approach tounderstanding eukaryotic diversity at the Scripps Pier, La Jolla, California, USA, via high-throughput amplicon sequencing of the 18S rRNA gene, the abundances of both Synechococcusand Synechococcus grazers, and traditional oceanographic parameters. We also exploit ourability to track OTUs temporally to evaluate the ability of 18S sequence-based OTU assignmentsto meaningfully reflect ecological dynamics. The eukaryotic community is highly dynamic interms of both species richness and composition, though proportional representation of higher-order taxa remains fairly consistent over time. Synechococcus abundance fluctuates throughoutthe year. This study has resulted in a temporal dataset of eukaryotic 18S sequences that cover a wide range of taxa and offers insights into the pier microbial community and how it changes with time.

Published: September 20, 2022 at 12:42

License: This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY) 4.0 License

URL: https://hosted-datasets.gbif.org/mgnify/MGYS00004051.zip

Contacts:

Scripps Institution of Oceanography
Scripps Institution of Oceanography

3,677
occurrence records
559
taxa
96
species

Taxa

Missing and invalid fields

Field Missing Invalid
coordinateUncertaintyInMeters 3,677
100.0%
maximumDepthInMeters 3,677
100.0%
minimumDepthInMeters 3,677
100.0%
occurrenceStatus 3,677
100.0%
scientificNameID 3,677
100.0%

Quality flags

The OBIS data quality flags are documented at https://github.com/iobis/obis-qc.

Flag Dropped Records
NO_DEPTH 3,677
100.0%
NO_MATCH 386
10.5%
MARINE_UNSURE 74
2.0%
NO_ACCEPTED_NAME 73
2.0%
WORMS_ANNOTATION_UNRESOLVABLE 23
0.6%
NOT_MARINE 20
0.5%
WORMS_ANNOTATION_REJECT_AMBIGUOUS 6
0.2%
WORMS_ANNOTATION_RESOLVABLE 2
0.1%

Measurement types

DNA derived data