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Series GSE100883 Query DataSets for GSE100883
Status Public on Jul 01, 2018
Title Novel applications of next generation sequencing tools to assess the health of Steller sea lion (Eumetopias jubatus) populations
Organism Eumetopias jubatus
Experiment type Expression profiling by high throughput sequencing
Summary 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).
 
Contributor(s) Harley J, MacDonald JW, Rea L, Bammler TK, Kavanagh T, Fadely B, Gelatt T, O'Hara TM
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Submission date Jul 06, 2017
Last update date May 15, 2019
Contact name James William MacDonald
E-mail(s) jmacdon@uw.edu
Organization name University of Washington
Department Environmental and Occupational Health Sciences
Street address 4225 Roosevelt Way NE
City Seattle
State/province WA
ZIP/Postal code 98105-6099
Country USA
 
Platforms (2)
GPL23666 Illumina NextSeq 500 (Eumetopias jubatus)
GPL23667 Ion Torrent Proton (Eumetopias jubatus)
Samples (13)
GSM2695592 OHara_sample_122
GSM2695593 OHara_sample_121
GSM2695594 OHara_sample_135
Relations
BioProject PRJNA393348
SRA SRP111289

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE100883_Raw_counts.txt.gz 12.8 Mb (ftp)(http) TXT
GSE100883_Trinity.fasta.gz 153.6 Mb (ftp)(http) FASTA
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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