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SRX2987959: GSM2695599: OHara_sample_115; Eumetopias jubatus; RNA-Seq
1 ILLUMINA (NextSeq 500) run: 45.2M spots, 8.8G bases, 3.6Gb downloads

Submitted by: NCBI (GEO)
Study: Novel applications of next generation sequencing tools to assess the health of Steller sea lion (Eumetopias jubatus) populations
show Abstracthide Abstract
Some rookeries of the western distinct population segment (WDPS) of Steller sea lions (Eumetopias jubatus) in the Aleutian Islands (Alaska, USA) have experienced continued declines since the initial collapse of the population in the 1970-1980s. Several theories have been put forward to explain the decline and lack of subsequent recovery including predation, nutritional stress, contaminants, and infectious disease agents, but thus far a primary cause has not been identified. Examining gene expression profiles of organisms has been promoted as a way to assess several health indicators related to toxicoses, infection, and nutritional stress using recent advances in metagenetics (next-generation sequencing) analyses. Next-generation sequencing may provide a more refined and adaptable method of investigating sea lion health under difficult research field collections. Here we suggest that the application of next-generation sequencing tools has the potential to evaluate the transcriptomic (gene expression) profile of animals from declining rookeries. We show that high quality RNA can be obtained from wildlife populations despite logistically challenging field conditions. We compared RNA expression in whole blood using whole transcriptome sequencing (RNA-Seq) among animals with relatively high concentrations of total mercury ([THg]) to animals with lower concentrations. There did not appear to be significant changes in gene expression in animals with high [THg] in whole blood, despite some animals having concentrations above thresholds of concern for model organisms. We did find evidence of a bias toward downregulation of some genes in animals with higher [THg]. Overall design: Steller sea lion pups were captured on 2 rookery islands in the WDPS (Agattu Island/Gillon Point, and Ulak Island/Hasgox Point) during June 24 - July 17, 2013 and June 18 - July 5, 2015. Blood samples were then collected via the caudal gluteal vein for THg analysis (Vacuette Trace Element, Geiner Labortechnik, Kremsmünter, Austria) and for RNA stabilization and collection (PaxGene? RNA, PreAnalytiX, Hombrechtikon Switzerland). Blood was stored at approximately -15°C for the duration of the cruise (approximately 3 weeks), and placed in a -80°C freezer upon arrival at UAF. RNA-Seq samples were selected from Agattu (n= 18) and Ulak (n=6) Islands, both of which have declining pup counts from 2000 to present (Figure 1b, Fritz et al., 2015). In order to maximize study efficacy while working with limited funding, we decided to analyze samples with high and low [THg] (extremes) rather than treating [THg] as a continuous variable. We selected six individuals with the highest [THg] and lowest [THg] from each year of sampling (2013 and 2015).
Sample: OHara_sample_115
SAMN07328130 • SRS2339893 • All experiments • All runs
Library:
Instrument: NextSeq 500
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: cDNA
Layout: PAIRED
Construction protocol: Whole blood collected in PaxGene™ RNA tubes were placed in a cooler with ice until transport back to the ship, at which point they were kept in the freezer at approximately -15°C. Upon return to UAF the samples were placed in a -80°C freezer and then shipped to the University of Washington Center for Exposures, Diseases, Genomics and Environment in insulated shipping containers with dry ice and subsequently stored at -80°C until extraction. Total RNA was extracted using the PaxGene™ Blood RNA Kit according to the manufacturer’s protocol. RNA integrity was determined using an Agilent 2100 Bioanalyzer (Agilent Technologies, Palo Alto, California). RNA quantity was determined by measuring OD260 with a Thermo Scientific NanoDrop™ 1000 Spectrophotometer (Thermo Fisher Scientific, Inc.; Wilmington, DE). Total RNA is quantified using the Quanti-iT RNA Assay Kit and RIN scores are confirmed using the Agilent 2100 Bioanalyzer. A Perkin Elmer Janus workstation is used to normalize library construction input to 1ug per sample. Next-generation sequencing libraries are prepared in an automated, high-throughput format using the TruSeq Stranded mRNA kit. All the steps required for library construction have been automated and are performed on a Sciclone NGSx Workstation. During library construction, ribosomal RNA is depleted by means of poly-A enrichment and first and second strand cDNA syntheses are performed. Each library is then uniquely barcoded using the Illumina adapters and amplified using a total of 13 cycles of PCR. After amplification and cleanup, library concentrations are determined using the Quant-iT dsDNA High Sensitivity Assay. Library fragment lengths are confirmed using the Agilent 2100 Bioanalzyer. Barcoded libraries are subsequently normalized and pooled based on quantification values. Clustering, followed by massively parallel sequencing-by-synthesis with fluorescently labeled, reversibly terminating nucleotides are carried out on the NextSeq instrument, achieving PE100 reads on a High Output flow cell. Base calls are generated in real-time by the instrument. Our read processing pipeline demultiplexes the reads and fastq files are produced by Picard.
Experiment attributes:
GEO Accession: GSM2695599
Links:
Runs: 1 run, 45.2M spots, 8.8G bases, 3.6Gb
Run# of Spots# of BasesSizePublished
SRR580938745,239,7728.8G3.6Gb2018-07-02

ID:
4255615

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