Literature DB >> 28596398

Metagenomic 16S rRNA Sequencing Analysis of Pacific Oyster (Crassostrea gigas) Microbiota from the Puget Sound Region in the United States.

Zhen Li1, Leyi Wang2.   

Abstract

This is the first study analyzing Pacific oyster microbiota in the Puget Sound estuarine system using a next-generation sequencing method. Taxonomic analysis indicated that Tenericutes, Chlamydiae, Proteobacteria, and Firmicutes were the most abundant phyla. Small numbers of operational taxonomic units (OTUs) belonging to the Vibrio genus were detected in all the oyster microbiome samples.
Copyright © 2017 Li and Wang.

Entities:  

Year:  2017        PMID: 28596398      PMCID: PMC5465617          DOI: 10.1128/genomeA.00468-17

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Harvesting of Pacific oysters (Crassostrea gigas) is an important component of the maritime economy in the Puget Sound region. Because of their filter-feeding behavior, oysters contain complex microbial populations, which could contribute to oyster summer mortalities as well as food-related outbreaks. In this study, we analyzed C. gigas microbiota in the Puget Sound estuarine system of the U.S. Pacific coast. Oyster samples were collected during low tide at Hood Canal (47.66585, -122.90285) and Oakland Bay (47.228614, -123.063575) growing areas in the Puget Sound estuarine system from July to October 2014. A total of 13 Hood Canal samples and 11 Oakland Bay samples were collected over this period of time. Oysters were shipped on ice gel to the lab and processed within 24 h of collection. The oysters were washed and shucked according to the FDA Bacteriological analytical manual procedure (1). To make one pooled sample, 10 to 12 adult oysters were shucked. Oyster tissue and hemolymph were transferred to a sterile container and then homogenated with an equal weight of sterile phosphate-buffered saline in a blender for 2 min. DNA was extracted using the Qiagen DNeasy blood and tissue kit (Qiagen, Valencia, CA). The paired-end sequencing was performed using an Illumina MiSeq sequencer with the Illumina MiSeq reagent kit 600 version 3, according to the Illumina 16S metagenomic library preparation protocol (2) and the 16S rRNA primer set targeting the V3 and V4 regions of the 16S rRNA gene (3). The numbers of raw paired-end reads ranged from 79,174 to 2,497,062 in these oyster samples. Sequences were analyzed via a non-operational taxonomic unit (non-OTU) binning method. Raw paired-end reads were quality trimmed, normalized to 70,000 paired-end reads per sample using the FASTQ Toolkit version 2.0.0 on the BaseSpace Sequence Hub, and assembled using PANDAseq (4). Chimeric sequences were detected using the Decipher chimera detection tool (5) and removed. Taxonomy was assigned to each sequence using the Classifier program in Ribosomal Database Project (RDP) 11.1 (6). Taxonomic abundance analysis was also performed using the Metagenomics RAST (MG-RAST) server (7), and the best-hit classification was used via the RDP database, with the maximum E value cutoff at 1e-10, minimum identity cutoff at 60%, and minimum alignment length cutoff at 15. Tenericutes (9.79 to 56.58%), Chlamydiae (0.71 to 47.18%), Proteobacteria (2.21 to 23.29%), and Firmicutes (1.10 to 72.70%) were identified as the most abundant phyla in the oyster microbiota from both Hood Canal and Oakland Bay sites. OTUs that belong to the Vibrio genus were detected from all samples, ranging from 13 to 951 OTU per oyster sample, indicating the persistence of extremely small population of Vibrio spp. in healthy oyster microbiota. Further analysis will be focused on the variations in oyster microbiome samples collected at different times, temperatures, and locations.

Accession number(s).

Raw sequences were deposited to the NCBI SRA database under accession no. SRP075291. Filtered and assembled sequences are also publicly available on the MG-RAST server under the project ID mgp15218 and MG-RAST ID mgm4666675.3 to mgm4666698.3.
  5 in total

1.  DECIPHER, a search-based approach to chimera identification for 16S rRNA sequences.

Authors:  Erik S Wright; L Safak Yilmaz; Daniel R Noguera
Journal:  Appl Environ Microbiol       Date:  2011-11-18       Impact factor: 4.792

2.  Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy.

Authors:  Qiong Wang; George M Garrity; James M Tiedje; James R Cole
Journal:  Appl Environ Microbiol       Date:  2007-06-22       Impact factor: 4.792

3.  Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies.

Authors:  Anna Klindworth; Elmar Pruesse; Timmy Schweer; Jörg Peplies; Christian Quast; Matthias Horn; Frank Oliver Glöckner
Journal:  Nucleic Acids Res       Date:  2012-08-28       Impact factor: 16.971

4.  PANDAseq: paired-end assembler for illumina sequences.

Authors:  Andre P Masella; Andrea K Bartram; Jakub M Truszkowski; Daniel G Brown; Josh D Neufeld
Journal:  BMC Bioinformatics       Date:  2012-02-14       Impact factor: 3.169

5.  The metagenomics RAST server - a public resource for the automatic phylogenetic and functional analysis of metagenomes.

Authors:  F Meyer; D Paarmann; M D'Souza; R Olson; E M Glass; M Kubal; T Paczian; A Rodriguez; R Stevens; A Wilke; J Wilkening; R A Edwards
Journal:  BMC Bioinformatics       Date:  2008-09-19       Impact factor: 3.169

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1.  Variation in Survival and Gut Microbiome Composition of Hatchery-Grown Native Oysters at Various Locations within the Puget Sound.

Authors:  Emily Kunselman; Jeremiah J Minich; Micah Horwith; Jack A Gilbert; Eric E Allen
Journal:  Microbiol Spectr       Date:  2022-05-10
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