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Ecological genomics of local adaptation

doi: 10.1038/nrg3522
pmid: 24136507
It is increasingly important to improve our understanding of the genetic basis of local adaptation because of its relevance to climate change, crop and animal production, and conservation of genetic resources. Phenotypic patterns that are generated by spatially varying selection have long been observed, and both genetic mapping and field experiments provided initial insights into the genetic architecture of adaptive traits. Genomic tools are now allowing genome-wide studies, and recent theoretical advances can help to design research strategies that combine genomics and field experiments to examine the genetics of local adaptation. These advances are also allowing research in non-model species, the adaptation patterns of which may differ from those of traditional model species.
- Uppsala University Sweden
- University of Oulu Finland
- University of Helsinki Finland
- Oulu University Hospital Finland
Conservation of Natural Resources, Genome, Climate Change, Fishes, Genetic Variation, Genomics, Plants, Adaptation, Physiological, Biological Evolution, Genetics, Population, Phenotype, Species Specificity, Animals, Ecosystem
Conservation of Natural Resources, Genome, Climate Change, Fishes, Genetic Variation, Genomics, Plants, Adaptation, Physiological, Biological Evolution, Genetics, Population, Phenotype, Species Specificity, Animals, Ecosystem
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1K popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
