The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Interpreting differentiation landscapes in the light of long-term linked selection
Open accessAbstract
Identifying genomic regions underlying adaptation in extant lineages is key to understanding the trajectories along which biodiversity evolves. However, this task is complicated by evolutionary processes that obscure and mimic footprints of positive selection. Particularly, the long-term effects of linked selection remain underappreciated and difficult to account for. Based on patterns emerging from recent research on the evolution of differentiation across the speciation continuum, I illustrate how long-term linked selection affects the distribution of differentiation along genomes. I then argue that a comparative population genomics framework that exploits emergent features of long-term linked selection can help overcome shortcomings of traditional genome scans for adaptive evolution, but needs to account for the temporal dynamics of differentiation landscapes.
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Citations
Cites
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Genome-wide detection and characterization of positive selection in human populations
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Sequencing of 50 Human Exomes Reveals Adaptation to High Altitude
Yi, X., Liang, Y., Huerta-Sanchez, E., Jin, X., Cuo, Z. X. P., Pool, J. E., Xu, X., Jiang, H., Vinckenbosch, N., Korneliussen, T. S., et al. (2010) · Science · doi:10.1126/science.1190371 · Cited by 1,611
Estimating and interpreting F ST : The impact of rare variants
Bhatia, G., Patterson, N., Sankararaman, S., & Price, A. L. (2013) · Genome Research · doi:10.1101/gr.154831.113 · Cited by 612
A new approach for using genome scans to detect recent positive selection in the human genome
Tang, K., Thornton, K. R., & Stoneking, M. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050171 · Cited by 489
Widespread Genomic Signatures of Natural Selection in Hominid Evolution
McVicker, G., Gordon, D., Davis, C., & Green, P. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000471 · Cited by 456
Near-neutrality in evolution of genes and gene regulation
Ohta, T. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.252626899 · Cited by 333
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Recombination rate variation shapes barriers to introgression across butterfly genomes
Martin, S. H., Davey, J. W., Salazar, C., & Jiggins, C. D. (2019) · PLOS Biology · doi:10.1371/journal.pbio.2006288 · Cited by 320
Widespread selection and gene flow shape the genomic landscape during a radiation of monkeyflowers
Stankowski, S., Chase, M. A., Fuiten, A. M., Rodrigues, M. F., Ralph, P. L., & Streisfeld, M. A. (2019) · PLOS Biology · doi:10.1371/journal.pbio.3000391 · Cited by 134
Bock, D. G., Cai, Z., Elphinstone, C., González-Segovia, E., Hirabayashi, K., Huang, K., Keais, G. L., Kim, A., Owens, G. L., & Rieseberg, L. H. (2023) · Plant Communications · doi:10.1016/j.xplc.2023.100599 · Cited by 84
“To test this, the authors compared the correlation between genomic factors and the divergence between species to test several hypotheses put forward by Burri (2017) on the effect of linked selection.”
Ancestral polymorphisms shape the adaptive radiation of Metrosideros across the Hawaiian Islands
Choi, J. Y., Dai, X., Alam, O., Peng, J. Z., Rughani, P., Hickey, S., Harrington, E., Juul, S., Ayroles, J. F., Purugganan, M. D., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2023801118 · Cited by 58
Owens, G. L., Todesco, M., Bercovich, N., Légaré, J., Mitchell, N., Whitney, K. D., & Rieseberg, L. H. (2021) · Molecular Ecology · doi:10.1111/mec.16008 · Cited by 20
Metadata
- Authors
- Burri, R.
- Venue
- Evolution Letters
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-08-01
- Volume
- 1
- Issue
- 3
- Pages
- 118-131
- ISSN
- 2056-3744 (ISSN-L)
- OpenAlex
- W2949541910
- Cited by
- 166
- References
- 7
- FWCI
- 10.64
- Type
- journal article
- Language
- en
- Open access
- gold
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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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