Code and data for: The difficulty of predicting evolutionary change in response to novel ecological interactions: a field experiment with Anolis lizards

Determining whether and how evolution is predictable is an important goal, particularly as anthropogenic disturbances lead to novel species interactions that could modify selective pressures. Here, we use a multi-generation field experiment with brown anole lizards (Anolis sagrei) to test hypotheses about the predictability of evolution. We manipulated the presence and absence of predators and competitors across 16 islands in the Bahamas with preexisting brown anole populations. Before the experiment and again after roughly five generations, we measured traits related to locomotory performance and habitat use of brown anoles and used ddRAD sequencing to estimate genome-wide changes in allele frequencies. Although previous work showed that predators and competitors had consistent effects on brown anole behavior, diet, and population sizes, we found that evolutionary change at both phenotypic and genomic levels was difficult to forecast. Phenotypic changes were contingent on sex and habit..., , , , # Code and data for: The difficulty of predicting evolutionary change in response to novel ecological interactions: a field experiment with Anolis lizards ### Authors: Timothy J. Thurman^1,2,3^, Todd M. Palmer^4^, Jason J. Kolbe^5^, Arash M. Askary^1^, Kiyoko M. Gotanda^1,6,7^, Oriol Lapiedra^8^, Tyler R. Kartzinel^9,10^, Naomi Man in't Veld^11^, Liam J. Revell^12,13^, Johanna E. Wegener^5^, Thomas W. Schoener^14^, David A. Spiller^14^, Jonathan B. Losos^15^, Robert M. Pringle^16^, Rowan D. H. Barrett^1^ ### Affiliations: ^1^ Redpath Museum and Department of Biology, McGill University. Montréal, QC, Canada ^2^ Smithsonian Tropical Research Institute. Panamá, República de Panamá ^3^ Current address: Division of Biological Sciences, University of Montana, Missoula, MT, USA ^4^ Department of Biology, University of Florida, Gainesville, FL, USA ^5^ Department of Biological Sciences, University of Rhode Island, Kingston, RI, USA ^6^ Department of Zoology, University of Cambridge. Ca...,阐明演化是否可预测、以及如何实现可预测性，是演化生物学领域的重要研究目标，尤其是在人为干扰引发全新物种互作、进而改变选择压力的背景下。本研究以棕色安乐蜥（Anolis sagrei，brown anole lizards）为研究对象，通过多代野外实验检验关于演化可预测性的相关假说。我们在巴哈马群岛的16个已存在棕色安乐蜥定居种群的岛屿上，设置了有无捕食者与竞争者的实验处理组。分别在实验开始前以及约五代种群更替后，测量了棕色安乐蜥的运动性能相关性状与栖息地利用特征，并通过ddRAD测序（ddRAD sequencing）估算全基因组范围内的等位基因频率变化。尽管既往研究表明，捕食者与竞争者对棕色安乐蜥的行为、食性以及种群规模具有一致的影响效应，但本研究发现，无论是表型层面还是基因组层面的演化改变，均难以预测。表型变化受到性别与栖息…… # 代码与数据集配套说明：响应全新生态互作的演化改变难以预测——基于安乐蜥的野外实验 ### 作者： Timothy J. Thurman^1,2,3^、Todd M. Palmer^4^、Jason J. Kolbe^5^、Arash M. Askary^1^、Kiyoko M. Gotanda^1,6,7^、Oriol Lapiedra^8^、Tyler R. Kartzinel^9,10^、Naomi Man in't Veld^11^、Liam J. Revell^12,13^、Johanna E. Wegener^5^、Thomas W. Schoener^14^、David A. Spiller^14^、Jonathan B. Losos^15^、Robert M. Pringle^16^、Rowan D. H. Barrett^1^ ### 作者单位： ^1^ 麦吉尔大学雷德帕思博物馆与生物学系，加拿大魁北克省蒙特利尔 ^2^ 史密森尼热带研究所，巴拿马共和国 ^3^ 现任职单位：美国蒙大拿大学生物科学系，蒙大拿州密苏拉 ^4^ 佛罗里达大学生物学系，美国佛罗里达州盖恩斯维尔 ^5^ 罗德岛大学生物科学系，美国罗德岛州金斯顿 ^6^ 剑桥大学动物学系，英国剑桥……