The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A restoration genetics guide for coral reef conservation
Open accessAbstract
Worldwide degradation of coral reef communities has prompted a surge in restoration efforts. They proceed largely without considering genetic factors because traditionally, coral populations have been regarded as open over large areas with little potential for local adaptation. Since, biophysical and molecular studies indicated that most populations are closed over shorter time and smaller spatial scales. Thus, it is justified to re‐examine the potential for site adaptation in corals. There is ample evidence for differentiated populations, inbreeding, asexual reproduction and the occurrence of ecotypes, factors that may facilitate local adaptation. Discovery of widespread local adaptation would influence coral restoration projects mainly with regard to the physical and evolutionary distance from the source wild and/or captive bred propagules may be moved without causing a loss of fitness in the restored population. Proposed causes for loss of fitness as a result of (plant) restoration efforts include founder effects, genetic swamping, inbreeding and/or outbreeding depression. Direct evidence for any of these processes is scarce in reef corals due to a lack of model species that allow for testing over multiple generations and the separation of the relative contributions of algal symbionts and their coral hosts to the overall performance of the coral colony. This gap in our knowledge may be closed by employing novel population genetic and genomics approaches. The use of molecular tools may aid managers in the selection of appropriate propagule sources, guide spatial arrangement of transplants, and help in assessing the success of coral restoration projects by tracking the performance of transplants, thereby generating important data for future coral reef conservation and restoration projects.
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Cites
DNA barcoding: error rates based on comprehensive sampling
Meyer, C. P., & Paulay, G. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030422 · Cited by 1,957
Sea Anemone Genome Reveals Ancestral Eumetazoan Gene Repertoire and Genomic Organization
Putnam, N. H., Srivastava, M., Hellsten, U., Dirks, B., Chapman, J., Salamov, A., Terry, A., Shapiro, H., Lindquist, E., Kapitonov, V. V., et al. (2007) · Science · doi:10.1126/science.1139158 · Cited by 1,555
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×
“Next generation sequencing methods continue to reduce the development cost of genomic tools for nonmodel organisms and have yielded promising results in wild species (Toth et al. 2007; Vera et al. 2008).”
BackgroundStinchcombe, J. R., & Hoekstra, H. E. (2008) · Heredity · doi:10.1038/sj.hdy.6800937 · Cited by 622
Coral reef fish larvae settle close to home
Jones, G. P., Planes, S., & Thorrold, S. R. (2005) · Current Biology · doi:10.1016/j.cub.2005.06.061 · Cited by 569
Cited by
Building coral reef resilience through assisted evolution
van Oppen, M. J. H., Oliver, J. K., Putnam, H. M., & Gates, R. D. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422301112 · Cited by 991
Sequencing and de novo analysis of a coral larval transcriptome using 454 GSFlx
Meyer, E., Aglyamova, G. V., Wang, S., Buchanan-Carter, J., Abrego, D., Colbourne, J. K., Willis, B. L., & Matz, M. V. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-219 · Cited by 479
Baums, I. B., Baker, A. C., Davies, S. W., Grottoli, A. G., Kenkel, C. D., Kitchen, S. A., Kuffner, I. B., LaJeunesse, T. C., Matz, M. V., Miller, M. W., et al. (2019) · Ecological Applications · doi:10.1002/eap.1978 · Cited by 284
Self-citationPhenotype–environment mismatches reduce connectivity in the sea
Marshall, D. J., Monro, K., Bode, M., Keough, M. J., & Swearer, S. (2010) · Ecology Letters · doi:10.1111/j.1461-0248.2009.01408.x · Cited by 270
van der Ven, R. M., Triest, L., De Ryck, D. J. R., Mwaura, J. M., Mohammed, M. S., & Kochzius, M. (2016) · Journal of Biogeography · doi:10.1111/jbi.12643 · Cited by 39
Metadata
- Authors
- BAUMS, I. B.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2008-06
- Volume
- 17
- Issue
- 12
- Pages
- 2796-2811
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2054171341
- Cited by
- 309
- References
- 5
- FWCI
- 11.02
- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.