An Ecological and Evolutionary Framework for Commensalism in Anthropogenic Environments

Acknowledgements We would like to thank Jean-Denis Vigne, members of the Searle lab, and SNEEB at Cornell University for a stimulating environment and many early discussions and comments. We would also like to thank Maeve McMahon for comments on the manuscript.Peer reviewedPublisher PD

Sperm competition as an under-appreciated factor in domestication

Humans created an environment that increased selective pressures on subgroups of those species that became domestic. We propose that the domestication process may in some cases have been facilitated by changes in mating behaviour and resultant sperm competition. By adapting to sperm competition, proto-domestic animals could potentially have outcompeted their wild counterparts in human-constructed niches. This could have contributed to the restriction of gene flow between the proto-domesticates and their wild counterparts, thereby promoting the fixation of other domestication characteristics. Further to this novel perspective for domestication, we emphasise the general potential of postcopulatory sexual selection in the restriction of gene flow between populations, and urge more studies

A landmark-based approach for assessing the reliability of mandibular tooth crowding as a marker of dog domestication

Acknowledgements We are grateful to the curators and staff of many museums and institutions for kindly providing access to collections under their care, especially Marc Nussbaumer & Andre Rehazek of Naturhistorisches Museum Bern, Jack Tseng of the American Museum of Natural History, and Richard Meadow of Peabody Museum, Harvard University. Additionally, we are thankful to Richard Allen, Anna Linderholm and Angela Perri for their help with sourcing and collecting data for this study. This work was supported by NERC (NE/K003259/1), and the European Research Council (ERC-2013-StG 337574-UNDEAD).Peer reviewedPublisher PD

Dental Shape Variation and Phylogenetic Signal in the Rattini Tribe Species of Mainland Southeast Asia

We would like to thank Pierre-Henri Fabre for providing the phylogeny for this study. The collection of specimens used was funded by the French ANR Biodiversity, grant ANR 07 BDIV 012 CERoPath project (www.ceropath.org), and by the French ANR CP&ES, grant ANR 11 CPEL 002 BiodivHealthSEA project (www.biodivhealthsea.org). We also thank Madoudou Garba and Gauthier Dobigny (CBGP-IRD) for providing additional specimens. We greatly thank all local communities and their leaders for permission and invaluable help during field trapping. Special thanks to the CERoPath and BiodivHealthSEA teams and the drivers for their invaluable help during fieldwork. We would also like to thank Maeve McMahon for help with manuscript editing and preparation.Peer reviewedPublisher PD

Exploring Rattus praetor (Rodentia, Muridae) as a possible species complex using geometric morphometrics on dental morphology

Taxonomic uncertainties in the Rattus genus persist due to among-species morphological conservatism coupled with within-species environmental variation in morphology. As a result, this genus contains a number of possible cryptic species. One important example can be found in R. praetor, where morphological studies indicate it is a possible species complex. Genetic studies of R. praetor (limited to analysis of mitochondrial DNA) have been inconclusive, but do indicate such subdivision. Here we use geometric morphometrics to explore this possible species complex by analysing the dental traits of 48 specimens from New Guinea and neighbouring regions. We find separate molar morphologies for Bougainsville Island, central New Guinea and west New Guinea which cannot be easily explained by different environmental factors (climate, precipitation and altitude), strongly suggesting the existence of a number of evolutionarily distinct taxa within what is currently called R. praetor thus supporting previous suggestions that R. praetor is a species complex. Our findings demonstrate the potential of advanced morphological analyses in identifying separate species, contrary to the claims of morphological conservatism. Future analyses should combine geometric morphometrics with genetic analyses over the species range and include sub-fossil specimens from the Bismarck archipelago and Solomon Islands to resolve the evolutionary history of R. praetor

The use of close-range photogrammetry in zooarchaeology : Creating accurate 3D models of wolf crania to study dog domestication

Acknowledgements We thank the Muséum National d'Histoire Naturelle, Paris, that provided access to the specimens, and access to the morphometric platform where the surface scans were performed. We also thank Raphael Cornette and Julien Claude for the fruitful discussions we had when writing the manuscript. This work was supported by NERC (grant number NE/K003259/1) and the European Research Council (ERC-2013-StG 337574-UNDEAD). This is publication ISEM 2016-127. We thank the two anonymous reviewers who greatly helped to improve the manuscript.Peer reviewedPublisher PD

GeoOrigins: A new method and R package for trait mapping and geographic provenancing of specimens without categorical constraints

Biologists often seek to geographically provenance organisms using their traits. This is typically achieved by defining spatial groups using distinct patterns of trait variation. Here, we present a new spatial provenancing and trait boundary identification methodology, based on correlations between geographic and trait distances that require no a priori group assumptions. We apply this to three datasets where spatial provenance is sought: morphological rat and vole dentition data (human commensal translocation datasets); and birdsong data (cultural transmission dataset). We also present the results of cross‐validation testing. Spatial provenancing is possible with differing degrees of accuracy for each dataset, with birdsong providing the most accurate geographic origin (identifying an average spatial region of 0.22 km2 as the area of origin with 99.9% confidence). Our method has a wide range of potential applications to diverse data types—including phenotypic, genetic and cultural—to identify trait boundaries and spatially provenance the origin of unknown or translocated specimens where trait differences are geographically structured and correlated with spatial separation