Recently shared papers & #preprints in the lab. #adaptation #recombination #chrom_inversion

He Q, Knowles LL (2017) Rapid adaptation with gene flow via a reservoir of chromosomal inversion variation? bioRxiv.
http://www.biorxiv.org/content/early/2017/06/15/150771

Blankers T, Oh KP, Bombarely A and Shaw KL (2017) The genomic architecture of a rapid island radiation: mapping chromosomal rearrangements and recombination rate variation in Laupala. bioRxiv, 160952.
http://www.biorxiv.org/content/early/2017/07/08/160952

Samuk K, Owens GL, Delmore KE, Miller S, Rennison DJ and Schluter D (2017) Gene flow and selection interact to promote adaptive divergence in regions of low recombination. Molecular Ecology.
http://onlinelibrary.wiley.com/doi/10.1111/mec.14226/full

Kawakami T, Mugal CF, Suh A, et al. (2017) Whole-genome patterns of linkage disequilibrium across flycatcher populations clarify the causes and consequences of fine-scale recombination rate variation in birds. Mol Ecol. 2017;00:1–15.
http://onlinelibrary.wiley.com/doi/10.1111/mec.14197/full

Barth JM, Berg PR, Jonsson PR, et al. (2017) Genome architecture enables local adaptation of Atlantic cod despite high connectivity. Molecular Ecology.
http://onlinelibrary.wiley.com/doi/10.1111/mec.14207/full

Recently shared papers & #preprints in the lab. #local_adaptation #detecting_selection

Gouy A, Daub JT, Excoffier L (2017) Detecting gene subnetworks under selection in biological pathways. Nucleic Acids Res 2017 gkx626. doi: 10.1093/nar/gkx626
https://academic.oup.com/nar/article/doi/10.1093/nar/gkx626/3978037/Detecting-gene-subnetworks-under-selection-in

Lotterhos KE, Card DC, Schaal SM, Wang L, Collins C and Verity B (2017) Composite measures of selection can improve the signal‐to‐noise ratio in genome scans. Methods in Ecology and Evolution, 8(6), 717-727.
http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12774/full

Fariello MI, Boitard S, Mercier S, et al. Accounting for linkage disequilibrium in genome scans for selection without individual genotypes: The local score approach. Mol Ecol. 2017;26:3700–3714.
http://onlinelibrary.wiley.com.acces.bibl.ulaval.ca/doi/10.1111/mec.14141/full

Ainsworth HF, Shin S-Y, Cordell HJ (2017) A comparison of methods for inferring causal relationships between genotype and phenotype using additional biological measurements. Genetic Epidemiology, 40, 304–10.
http://onlinelibrary.wiley.com/doi/10.1002/gepi.22061/full

Racimo F, Berg JJ and Pickrell JK (2017) Detecting polygenic adaptation in admixture graphs. bioRxiv, 146043.
http://www.biorxiv.org/content/early/2017/06/06/146043

Flanagan SP and Jones AG(2017) Constraints on the FST–Heterozygosity Outlier Approach. Journal of Heredity.
https://academic.oup.com/jhered/article-abstract/108/5/561/3806805/Constraints-on-the-FST-Heterozygosity-Outlier?redirectedFrom=fulltext

Raynes Y, Wylie CS, Sniegowski PD and Weinreich DM (2017) Sign of selection on mutation rate modifiers depends on population size. bioRxiv, 1–29.
http://www.biorxiv.org/content/early/2017/06/28/157131

Hermisson J and Pennings PS (2017) Soft sweeps and beyond: understanding the patterns and probabilities of selection footprints under rapid adaptation. Methods Ecol Evol, 8: 700–716. doi:10.1111/2041-210X.12808
http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12808/abstract