The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
RNA‐seq reveals regional differences in transcriptome response to heat stress in the marine snail Chlorostoma funebralis
Abstract
To investigate the role of gene expression in adaptation of marine ectotherms to different temperatures, we examined the transcriptome‐wide thermal stress response in geographically separated populations of the intertidal snail C hlorostoma funebralis. Snails from two southern (heat tolerant) and two northern (heat sensitive) populations were acclimated to a common thermal environment, exposed to an environmentally relevant thermal stress and analysed using RNA‐seq. Pooling across all populations revealed 306 genes with differential expression between control and heat‐stressed samples, including 163 significantly upregulated and 143 significantly downregulated genes. When considered separately, regional differences in response were widely apparent. Heat shock proteins (Hsps) were upregulated in both regions, but the magnitude of response was significantly greater in northern populations for most Hsp70s, while the southern populations showed greater upregulation for approximately half of the Hsp40s. Of 177 stress‐responsive genes in northern populations, 55 responded to heat stress only in northern populations. Several molecular chaperones and antioxidant genes that were not differentially expressed in southern populations showed higher expression under control conditions compared with northern populations. This suggests that evolution of elevated expression of these genes under benign conditions preadapts the southern populations to frequent heat stress and contributes to their higher thermal tolerance. These results indicate that evolution has resulted in different transcriptome responses across populations, including upregulation of genes in response to stress and preadaptation of genes in anticipation of stress (based on evolutionary history of frequent heat exposure). The relative importance of the two mechanisms differs among gene families and among populations.
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CAP3: A DNA Sequence Assembly Program
Huang, X., & Madan, A. (1999) · Genome Research · doi:10.1101/gr.9.9.868 · Cited by 5,261
Tackling the widespread and critical impact of batch effects in high-throughput data
Leek, J. T., Scharpf, R. B., Bravo, H. C., Simcha, D., Langmead, B., Johnson, W. E., Geman, D., Baggerly, K., & Irizarry, R. A. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2825 · Cited by 2,196
Dual-specificity phosphatases: critical regulators with diverse cellular targets
Patterson, K. I., Brummer, T., O'brien, P. M., & Daly, R. J. (2009) · Biochemical Journal · doi:10.1042/bj20082234 · Cited by 744
Manevich, Y., & Fisher, A. B. (2005) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2005.02.011 · Cited by 382
Comparing de novo assemblers for 454 transcriptome data
Kumar, S., & Blaxter, M. L. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-571 · Cited by 255
Monitoring of Technical Variation in Quantitative High-Throughput Datasets
Lauss, M., Visne, I., Kriegner, A., Ringnér, M., Jönsson, G., & Höglund, M. (2013) · Cancer Informatics · doi:10.4137/cin.s12862 · Cited by 74
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Evolutionary genomics can improve prediction of species’ responses to climate change
Waldvogel, A.-M., Feldmeyer, B., Rolshausen, G., Exposito-Alonso, M., Rellstab, C., Kofler, R., Mock, T., Schmid, K., Schmitt, I., Bataillon, T., et al. (2020) · Evolution Letters · doi:10.1002/evl3.154 · Cited by 348
Metadata
- Authors
- Gleason, L. U., & Burton, R. S.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2015-01-20
- Volume
- 24
- Issue
- 3
- Pages
- 610-627
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2024675681
- Cited by
- 160
- References
- 6
- FWCI
- 10.91
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gleason, L. U., & Burton, R. S. (2015). RNA‐seq reveals regional differences in transcriptome response to heat stress in the marine snail Chlorostoma funebralis. Molecular Ecology. https://doi.org/10.1111/mec.13047
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