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SRX1427966: Sample_4 YB_Low Strongylocentrotus droebachiensis mRNAseq
1 ILLUMINA (Illumina HiSeq 2000) run: 33M spots, 1.6G bases, 996.3Mb downloads

Design: Illumina TruSeq v1 kit- Larvae exposed to control or acidified seawater. Larvae were grown in either control seawater or seawater acidified with bubbled CO2 gas to lower the pH by 0.4 units. After 5-9 days, approximately 3000 larvae were collected, lysed, and preserved in RLT Buffer (Qiagen). Total RNA was extracted with the Qiagen RNeasy kit. Libraries were prepared using the Illumina TruSeq v1 kit with poly-A selection by the Duke IGSP Genome Sequencing & Analysis Core and sequenced 6 samples / lane in 7 lanes.
Submitted by: DUKE UNIVERSITY (DUKE)
Study: Genomic characterization of the evolutionary potential of the sea urchin Strongylocentrotus droebachiensis facing ocean acidification
show Abstracthide Abstract
Ocean acidification is increasing due to anthropogenic CO2 emissions, and poses a threat to marine species and communities worldwide. To better predict the effects of acidification on species’ health and persistence an understanding is needed of (1) mechanisms underlying developmental and physiological tolerance, and (2) an assessment of the potential for rapid evolutionary adaptation. This is especially challenging in non-model species where targeted assays of metabolism and stress physiology may not be available or economical enough to use for large-scale assessments of genetic constraints. We used mRNA sequencing and a quantitative genetics breeding design to study mechanisms underlying genetic variability and tolerance of the predicted 0.4 unit decline seawater pH by the year 2100 in larvae the sea urchin Strongylocentrotus droebachiensis. We used a gene ontology-based approach to integrate expression profiles into indirect measures of cellular and biochemical traits underlying variation in larval performance (i.e., growth rates or mortality). Molecular responses to OA were complex, involving changes to growth rates, cell division, metabolism, and immune activities. Surprisingly, the magnitude of pH effects on molecular traits effects tended to be small relative to variation caused by segregating functional genetic variation in this species. We discuss how the application of transcriptomics and quantitative genetics approaches across diverse species can enrich our understanding of the biological impacts of climate change.
Sample:
SAMN04260190 • SRS1159403 • All experiments • All runs
Library:
Instrument: Illumina HiSeq 2000
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: PolyA
Layout: SINGLE
Spot descriptor:
forward

Runs: 1 run, 33M spots, 1.6G bases, 996.3Mb
Run# of Spots# of BasesSizePublished
SRR291334132,980,6861.6G996.3Mb2016-01-01

ID:
2020691

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