The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Genomic reaction norms: using integrative biology to understand molecular mechanisms of phenotypic plasticity
Open accessAbstract
Phenotypic plasticity is the development of different phenotypes from a single genotype, depending on the environment. Such plasticity is a pervasive feature of life, is observed for various traits and is often argued to be the result of natural selection. A thorough study of phenotypic plasticity should thus include an ecological and an evolutionary perspective. Recent advances in large‐scale gene expression technology make it possible to also study plasticity from a molecular perspective, and the addition of these data will help answer long‐standing questions about this widespread phenomenon. In this review, we present examples of integrative studies that illustrate the molecular and cellular mechanisms underlying plastic traits, and show how new techniques will grow in importance in the study of these plastic molecular processes. These techniques include: (i) heterologous hybridization to DNA microarrays; (ii) next generation sequencing technologies applied to transcriptomics; (iii) techniques for studying the function of noncoding small RNAs; and (iv) proteomic tools. We also present recent studies on genetic model systems that uncover how environmental cues triggering different plastic responses are sensed and integrated by the organism. Finally, we describe recent work on changes in gene expression in response to an environmental cue that persist after the cue is removed. Such long‐term responses are made possible by epigenetic molecular mechanisms, including DNA methylation. The results of these current studies help us outline future avenues for the study of plasticity.
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Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Developmental Plasticity and Evolution
West-Eberhard, M. J. (2003) · doi:10.1093/oso/9780195122343.001.0001 · Cited by 6,115
Genomic Expression Programs in the Response of Yeast Cells to Environmental Changes
Gasch, A. P., Spellman, P. T., Kao, C. M., Carmel-Harel, O., Eisen, M. B., Storz, G., Botstein, D., & Brown, P. O. (2000) · Molecular Biology of the Cell · doi:10.1091/mbc.11.12.4241 · Cited by 4,815
Hierarchical Organization of Modularity in Metabolic Networks
Ravasz, E., Somera, A. L., Mongru, D. A., Oltvai, Z. N., & Barabási, A.-L. (2002) · Science · doi:10.1126/science.1073374 · Cited by 4,224
Liu, D., Diorio, J., Tannenbaum, B., Caldji, C., Francis, D., Freedman, A., Sharma, S., Pearson, D., Plotsky, P. M., & Meaney, M. J. (1997) · Science · doi:10.1126/science.277.5332.1659 · Cited by 3,170
The role of phenotypic plasticity in driving genetic evolution
Price, T. D., Qvarnström, A., & Irwin, D. E. (2003) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.2003.2372 · Cited by 1,466
Functional metagenomic profiling of nine biomes
Dinsdale, E. A., Edwards, R. A., Hall, D., Angly, F., Breitbart, M., Brulc, J. M., Furlan, M., Desnues, C., Haynes, M., Li, L., et al. (2008) · Nature · doi:10.1038/nature06810 · Cited by 980
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 2×
“This finding provides corroborating evidence in support of the high number of ESTs in a study of a butterfly species for which there was no predicted gene homologue in Bombyx mori (Vera et al. 2008).”
BackgroundResultA module map showing conditional activity of expression modules in cancer
Segal, E., Friedman, N., Koller, D., & Regev, A. (2004) · Nature Genetics · doi:10.1038/ng1434 · Cited by 685
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Phenotypic plasticity's impacts on diversification and speciation
Pfennig, D. W., Wund, M. A., Snell-Rood, E. C., Cruickshank, T., Schlichting, C. D., & Moczek, A. P. (2010) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2010.05.006 · Cited by 1,170
Social competence: an evolutionary approach
Taborsky, B., & Oliveira, R. F. (2012) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2012.09.003 · Cited by 419
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
Old wine in new bottles: reaction norms in salmonid fishes
Hutchings, J. A. (2011) · Heredity · doi:10.1038/hdy.2010.166 · Cited by 195
Gunter, H. M., Fan, S., Xiong, F., Franchini, P., Fruciano, C., & Meyer, A. (2013) · Molecular Ecology · doi:10.1111/mec.12417 · Cited by 109
Metadata
- Authors
- AUBIN‐HORTH, N., & RENN, S. C. P.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2009-09
- Volume
- 18
- Issue
- 18
- Pages
- 3763-3780
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2133193857
- Cited by
- 350
- References
- 16
- FWCI
- 21.09
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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