The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Challenges for identifying functionally important genetic variation: the promise of combining complementary research strategies
Open accessAbstract
Strategies for the identification of functional genetic variation underlying phenotypic traits of ecological and evolutionary importance have received considerable attention in the literature recently. This paper aims to bring together and compare the relative strengths and limitations of various potentially useful research strategies for dissecting functionally important genetic variation in a wide range of organisms. We briefly explore the relative strengths and limitations of traditional and emerging approaches and evaluate their potential use in free‐living populations. While it is likely that much of the progress in functional genetic analyses will rely on progress in traditional model species, it is clear that with prudent choices of methods and appropriate sampling designs, much headway can be also made in a diverse range of species. We suggest that combining research approaches targeting different functional and biological levels can potentially increase understanding the genetic basis of ecological and evolutionary processes both in model and non‐model organisms.
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Cites
The hitch-hiking effect of a favourable gene
Smith, J. M., & Haigh, J. (1974) · Genetical Research · doi:10.1017/s0016672300014634 · Cited by 3,415
King, M.-C., & Wilson, A. C. (1975) · Science · doi:10.1126/science.1090005 · Cited by 2,815
Hybridization as an invasion of the genome
Mallet, J. (2005) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2005.02.010 · Cited by 2,196
Detecting recent positive selection in the human genome from haplotype structure
Sabeti, P. C., Reich, D. E., Higgins, J. M., Levine, H. Z. P., Richter, D. J., Schaffner, S. F., Gabriel, S. B., Platko, J. V., Patterson, N. J., McDonald, G. J., et al. (2002) · Nature · doi:10.1038/nature01140 · Cited by 2,106
Widespread parallel evolution in sticklebacks by repeated fixation of Ectodysplasin alleles.
Colosimo, P. F., Hosemann, K. E., Balabhadra, S., Villarreal, G., Dickson, M., Grimwood, J., Schmutz, J., Myers, R. M., Schluter, D., & Kingsley, D. M. (2005) · Science · doi:10.1126/science.1107239 · Cited by 1,448
Evolution Experiments with Microorganisms: The Dynamics and Genetic Bases of Adaptation
Elena, S. F., & Lenski, R. E. (2003) · Nature Reviews Genetics · doi:10.1038/nrg1088 · Cited by 1,386
Inferring evolutionary processes from phylogenies
PAGEL, M. (1997) · Zoologica Scripta · doi:10.1111/j.1463-6409.1997.tb00423.x · Cited by 1,106
The Genetic Architecture of Quantitative Traits
Mackay, T. F. C. (2001) · Annual Review of Genetics · doi:10.1146/annurev.genet.35.102401.090633 · Cited by 1,106
Candidate-gene approaches for studying complex genetic traits: practical considerations
Tabor, H. K., Risch, N. J., & Myers, R. M. (2002) · Nature Reviews Genetics · doi:10.1038/nrg796 · Cited by 1,076
Valverde, P., Healy, E., Jackson, I., Rees, J. L., & Thody, A. J. (1995) · Nature Genetics · doi:10.1038/ng1195-328 · Cited by 999
Cited by
distruct: a program for the graphical display of population structure
Rosenberg, N. A. (2004) · Molecular Ecology Notes · doi:10.1046/j.1471-8286.2003.00566.x · Cited by 4,950
Jolley, K. A., Bray, J. E., & Maiden, M. C. J. (2018) · Wellcome Open Research · doi:10.12688/wellcomeopenres.14826.1 · Cited by 3,551
Stinchcombe, J. R., & Hoekstra, H. E. (2008) · Heredity · doi:10.1038/sj.hdy.6800937 · Cited by 622
Locust Phase Polyphenism: An Update
Pener, M. P., & Simpson, S. J. (2009) · Advances in Insect Physiology · doi:10.1016/s0065-2806(08)36001-9 · Cited by 481
Application of SNPs for population genetics of nonmodel organisms: new opportunities and challenges
HELYAR, S. J., HEMMER‐HANSEN, J., BEKKEVOLD, D., TAYLOR, M. I., OGDEN, R., LIMBORG, M. T., CARIANI, A., MAES, G. E., DIOPERE, E., CARVALHO, G. R., et al. (2011) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2010.02943.x · Cited by 478
Metadata
- Authors
- VASEMÄGI, A., & PRIMMER, C. R.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2005-08-26
- Volume
- 14
- Issue
- 12
- Pages
- 3623-3642
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2105156107
- Cited by
- 365
- References
- 13
- FWCI
- 15.29
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
