The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Ten years of transcriptomics in wild populations: what have we learned about their ecology and evolution?
Open accessAbstract
Molecular ecology has moved beyond the use of a relatively small number of markers, often noncoding, and it is now possible to use whole‐genome measures of gene expression with microarrays and RNA seq (i.e. transcriptomics) to capture molecular response to environmental challenges. While transcriptome studies are shedding light on the mechanistic basis of traits as complex as personality or physiological response to catastrophic events, these approaches are still challenging because of the required technical expertise, difficulties with analysis and cost. Still, we found that in the last 10 years, 575 studies used microarrays or RNA seq in ecology. These studies broadly address three questions that reflect the progression of the field: (i) How much variation in gene expression is there and how is it structured? (ii) How do environmental stimuli affect gene expression? (iii) How does gene expression affect phenotype? We discuss technical aspects of RNAseq and microarray technology, and a framework that leverages the advantages of both. Further, we highlight future directions of research, particularly related to moving beyond correlation and the development of additional annotation resources. Measuring gene expression across an array of taxa in ecological settings promises to enrich our understanding of ecology and genome function.
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Cites
Developmental Plasticity and Evolution
West-Eberhard, M. J. (2003) · doi:10.1093/oso/9780195122343.001.0001 · Cited by 6,115
Efficient genome editing in zebrafish using a CRISPR-Cas system
Hwang, W. Y., Fu, Y., Reyon, D., Maeder, M. L., Tsai, S. Q., Sander, J. D., Peterson, R. T., Yeh, J.-R. J., & Joung, J. K. (2013) · Nature Biotechnology · doi:10.1038/nbt.2501 · Cited by 2,937
Microarray data analysis: from disarray to consolidation and consensus
Allison, D. B., Cui, X., Page, G. P., & Sabripour, M. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1749 · Cited by 1,339 · cited 3×
“The array is scanned with lasers; relative light intensity of the fluorescent dye at a probe is proportional to the number of cDNA transcripts that are hybridizing at that particular probe (Allison et al. 2006; although see Box 1 Bias in signals).”
BackgroundMethodMechanisms of reef coral resistance to future climate change
Palumbi, S. R., Barshis, D. J., Traylor-Knowles, N., & Bay, R. A. (2014) · Science · doi:10.1126/science.1251336 · Cited by 882
Variation in gene expression within and among natural populations
Oleksiak, M. F., Churchill, G. A., & Crawford, D. L. (2002) · Nature Genetics · doi:10.1038/ng983 · Cited by 736
Rapid transcriptome characterization for a nonmodel organism using 454 pyrosequencing
VERA, J. C., WHEAT, C. W., FESCEMYER, H. W., FRILANDER, M. J., CRAWFORD, D. L., HANSKI, I., & MARDEN, J. H. (2008) · Molecular Ecology · doi:10.1111/j.1365-294x.2008.03666.x · Cited by 714 · cited 1×
“In an example of this integrated technique, Vera et al. (2008) used high-throughput RNAseq and de novo assembly of the Glanville fritillary butterfly (Melitaea cinxia) transcriptome from 80 individuals across eight populations.”
MethodA comparison of statistical methods for detecting differentially expressed genes from RNA‐seq data
Kvam, V. M., Liu, P., & Si, Y. (2012) · American Journal of Botany · doi:10.3732/ajb.1100340 · Cited by 281
Adaptation of Saccharomyces cerevisiae to saline stress through laboratory evolution
DHAR, R., SÄGESSER, R., WEIKERT, C., YUAN, J., & WAGNER, A. (2011) · Journal of Evolutionary Biology · doi:10.1111/j.1420-9101.2011.02249.x · Cited by 165
Cited by
How genomics can help biodiversity conservation
Theissinger, K., Fernandes, C., Formenti, G., Bista, I., Berg, P. R., Bleidorn, C., Bombarely, A., Crottini, A., Gallo, G. R., Godoy, J. A., et al. (2023) · Trends in Genetics · doi:10.1016/j.tig.2023.01.005 · Cited by 401
Metadata
- Authors
- Alvarez, M., Schrey, A. W., & Richards, C. L.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2015-01-21
- Volume
- 24
- Issue
- 4
- Pages
- 710-725
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2102258848
- Cited by
- 247
- References
- 8
- FWCI
- 6.69
- Type
- journal article
- Language
- en
- Open access
- bronze
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