Title
Microbiome and bacterioplankton rRNA gene sequence data collected from Gulf of Mexico seawater samples, cruises DP03 and DP04 from April - August 2016
Document Type
Dataset
Publication Date
3-2-2018
UDI
R4.x257.228:0008
Funding Source
RFP-IV
Data Collection Period
2016-04-30 to 2016-08-18
Database
Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC)
DOI
10.7266/N7833QCP
Abstract
Seawater was collected and filtered for microbiome and bacterioplankton sequencing and analyses at various depths during planned DEEPEND cruise expeditions to the GOM in 2016. Filters were stored and then processed for total environmental genomic DNA according to standard methods (see earthmicrobiome.org). 16S rRNA amplicon libraries covering the V4 hypervariable regions were generated with universal PCR primers and then sequenced on an Illumina MiSeq DNA sequencing platform. Raw paired-end sequences were joined and quality filtered in the bioinformatics program, QIIME. Vertical baseline characterizations will track alpha and beta diversity at different depths ranging from 0 – 1500 m, assess seasonal variation, and examine variation related to nektonic vertical migration. Microbiome analyses will also consider environmental variables unique to the GOM, such as Mississippi river green water inputs, mesoscale features, or microbiomes of associated GOM marine fauna as part of community ecology profiles. When possible, correlations will be made to other environmental factors such as nutrient concentrations.
File Format(s)
txt
NSUWorks Citation
Easson, Cole, and Lindsey Freed. Microbiome and bacterioplankton rRNA gene sequence data collected from Gulf of Mexico seawater samples, cruises DP03 and DP04 from April - August 2016. 2018. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University – Corpus Christi. doi: 10.7266/N7833QCP
COinS
Purpose
The purpose of these data were to assess natural variability in bacterioplankton communities associated with a wide variety of forces. These data will be linked with higher taxon and environmental data to assess connections between bacterioplankton and higher trophic levels.