Microbiota of

Amplicon sequences DADA2 pipeline Hatchery crash Oyster larval microbiota

Journal

Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995

Informations de publication

Date de publication:
Feb 2022
Historique:
received: 21 10 2021
accepted: 21 12 2021
entrez: 13 1 2022
pubmed: 14 1 2022
medline: 14 1 2022
Statut: epublish

Résumé

We present oyster larval microbiota from two feeding studies, in which wild type and low-salinity tolerant lines were either fed or starved. In one study, all larvae unexpectedly died, which was concurrent with an event in which all larvae in an adjoining oyster hatchery also died. In the other study, no crash occurred in either the study or hatchery. In both cases, larvae were collected and stored frozen, and microbial and host DNA was isolated by phenol-chloroform extraction. Both host 18 s rRNA genes and microbial 16 and 18 s rRNA genes were sequenced using universal primers. We present raw sequences, the pipeline that was used to quantify amplicon sequence variants, and our analysis pipeline that we used to describe how the overall microbial community varied between projects (crashed and non-crashed), feeding status (fed vs not), and strain (wild vs not). These data will be valuable to anyone interested in the microbiota of larval oysters, especially anyone interested in exploring hatchery crashes, effects of starvation, or strain level differences. They also contain a reproducible pipeline of amplicon analysis of host associated microbiota which may serve as a template for other studies. These data are a co-submission to a manuscript submitted to

Identifiants

pubmed: 35024394
doi: 10.1016/j.dib.2021.107755
pii: S2352-3409(21)01030-1
pmc: PMC8732746
doi:

Types de publication

Journal Article

Langues

eng

Pagination

107755

Informations de copyright

© 2021 Published by Elsevier Inc.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships which have or could be perceived to have influenced the work reported in this article.

Références

PLoS One. 2013 Apr 22;8(4):e61217
pubmed: 23630581
Genome Biol. 2014;15(12):550
pubmed: 25516281
Environ Microbiol. 2016 May;18(5):1403-14
pubmed: 26271760
Nat Methods. 2016 Jul;13(7):581-3
pubmed: 27214047

Auteurs

Jacob A Cram (JA)

University of Maryland Center for Environmental Science, Horn Point Laboratory, Cambridge MD, United States.

Matthew W Gray (MW)

University of Maryland Center for Environmental Science, Horn Point Laboratory, Cambridge MD, United States.

Katherine McFarland (K)

University of Maryland Center for Environmental Science, Horn Point Laboratory, Cambridge MD, United States.
NOAA Fisheries Service, Northeast Fisheries Science Center, Milford CT, United States.

Ashley Hollins (A)

University of Maryland Center for Environmental Science, Horn Point Laboratory, Cambridge MD, United States.

Classifications MeSH