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Evolution; International Journal of Organic Evolution|December 29, 2018
Contribution of maternal effects to dietary selection in Mediterranean fruit fliesPhilip T Leftwich, William J Nash, Lucy A Friend, et al.
Evolution; International Journal of Organic Evolution|June 6, 2022
Digest: Extensive pollinator sharing does not promote character displacement in two orchid congenersHayley Schroeder
Evolution; International Journal of Organic Evolution|June 6, 2022
A flexible method for estimating tip diversification rates across a range of speciation and extinction scenariosThais Vasconcelos, Brian C O'Meara, Jeremy M Beaulieu
Evolution; International Journal of Organic Evolution|June 13, 2022
Genomic evidence of speciation by fusion in a recent radiation of grasshoppersVíctor Noguerales, Joaquín Ortego
Evolution; International Journal of Organic Evolution|June 29, 2022
Digest: Brain or brawn: Trade-offs between brain size and flight mode in birdsSwati Saxena, David J Hosken, Tusheema Dutta
Evolution; International Journal of Organic Evolution|June 29, 2022
The emergence of group fitnessIuval Clejan, Christopher D Congleton, Brian A Lerch
Evolution; International Journal of Organic Evolution|June 29, 2022
Neuroanatomical shifts mirror patterns of ecological divergence in three diverse clades of mimetic butterfliesJ Benito Wainwright, Stephen H Montgomery
Evolution; International Journal of Organic Evolution|July 7, 2022
Evolution of a novel female reproductive strategy in Drosophila melanogaster populations subjected to long-term protein restrictionPurbasha Dasgupta, Subhasish Halder, Debapriya Dari, et al.
Evolution; International Journal of Organic Evolution|June 16, 2022
Structural anther mimics improve reproductive success through dishonest signaling that enhances both attraction and the morphological fit of pollinators with flowersEthan L Newman, Katharine L Khoury, Sandy E van Niekerk, et al.
Evolution; International Journal of Organic Evolution|January 8, 2021
The Camouflage Machine: Optimizing protective coloration using deep learning with genetic algorithmsJohn G Fennell, Laszlo Talas, Roland J Baddeley, et al.
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