TY - JOUR A1 - Cornetti, Luca A1 - Valente, Luis M. A1 - Dunning, Luke T. A1 - Quan, Xueping A1 - Black, Richard A. A1 - Hebert, Olivier A1 - Savolainen, Vincent T1 - The Genome of the "Great Speciator" Provides Insights into Bird Diversification JF - Genome biology and evolution N2 - Among birds, white-eyes (genusZosterops) have diversified so extensively that Jared Diamond and Ernst Mayr referred to them as the 'great speciator." The Zosterops lineage exhibits some of the fastest rates of species diversification among vertebrates, and its members are the most prolific passerine island colonizers. We present a high-quality genome assembly for the silvereye (Zosterops lateralis), a white-eye species consisting of several subspecies distributed across multiple islands. We investigate the genetic basis of rapid diversification in white-eyes by conducting genomic analyses at varying taxonomic levels. First, we compare the silvereye genome with those of birds from different families and searched for genomic features that may be unique to Zosterops. Second, we compare the genomes of different species of white-eyes from Lifou island (South Pacific), using whole genome resequencing and restriction site associated DNA. Third, we contrast the genomes of two subspecies of silvereye that differ in plumage color. In accordance with theory, we show that white-eyes have high rates of substitutions, gene duplication, and positive selection relative to other birds. Below genus level, we find that genomic differentiation accumulates rapidly and reveals contrasting demographic histories between sympatric species on Lifou, indicative of past interspecific interactions. Finally, we highlight genes possibly involved in color polymorphism between the subspecies of silvereye. By providing the first whole-genome sequence resources for white-eyes and by conducting analyses at different taxonomic levels, we provide genomic evidence underpinning this extraordinary bird radiation. KW - genome evolution KW - positive selection KW - gene duplication KW - phylogenomics KW - demography KW - morphological divergence Y1 - 2015 U6 - https://doi.org/10.1093/gbe/evv168 SN - 1759-6653 VL - 7 IS - 9 SP - 2680 EP - 2691 PB - Oxford Univ. Press CY - Oxford ER - TY - JOUR A1 - Marion, Glenn A1 - McInerny, Greg J. A1 - Pagel, Jörn A1 - Catterall, Stephen A1 - Cook, Alex R. A1 - Hartig, Florian A1 - O&rsquo, A1 - Hara, Robert B. T1 - Parameter and uncertainty estimation for process-oriented population and distribution models: data, statistics and the niche JF - JOURNAL OF BIOGEOGRAPHY N2 - The spatial distribution of a species is determined by dynamic processes such as reproduction, mortality and dispersal. Conventional static species distribution models (SDMs) do not incorporate these processes explicitly. This limits their applicability, particularly for non-equilibrium situations such as invasions or climate change. In this paper we show how dynamic SDMs can be formulated and fitted to data within a Bayesian framework. Our focus is on discrete state-space Markov process models which provide a flexible framework to account for stochasticity in key demographic processes, including dispersal, growth and competition. We show how to construct likelihood functions for such models (both discrete and continuous time versions) and how these can be combined with suitable observation models to conduct Bayesian parameter inference using computational techniques such as Markov chain Monte Carlo. We illustrate the current state-of-the-art with three contrasting examples using both simulated and empirical data. The use of simulated data allows the robustness of the methods to be tested with respect to deficiencies in both data and model. These examples show how mechanistic understanding of the processes that determine distribution and abundance can be combined with different sources of information at a range of spatial and temporal scales. Application of such techniques will enable more reliable inference and projections, e.g. under future climate change scenarios than is possible with purely correlative approaches. Conversely, confronting such process-oriented niche models with abundance and distribution data will test current understanding and may ultimately feedback to improve underlying ecological theory. KW - Bayesian inference KW - demography KW - dispersal KW - dynamic models KW - dynamic range models KW - establishment KW - global change KW - niche models KW - species distribution models Y1 - 2012 U6 - https://doi.org/10.1111/j.1365-2699.2012.02772.x SN - 0305-0270 SN - 1365-2699 VL - 39 IS - 12 SP - 2225 EP - 2239 PB - WILEY-BLACKWELL CY - HOBOKEN ER - TY - JOUR A1 - Fischer, Stefan A1 - Mayer-Scholl, Anne A1 - Imholt, Christian A1 - Spierling, Nastasja G. A1 - Heuser, Elisa A1 - Schmidt, Sabrina A1 - Reil, Daniela A1 - Rosenfeld, Ulrike M. A1 - Jacob, Jens A1 - Nöckler, Karsten A1 - Ulrich, Rainer G. T1 - Leptospira genomospecies and sequence type prevalence in small mammal populations in Germany JF - Vector-Borne and Zoonotic Diseases N2 - Leptospirosis is a worldwide emerging infectious disease caused by zoonotic bacteria of the genus Leptospira. Numerous mammals, including domestic and companion animals, can be infected by Leptospira spp., but rodents and other small mammals are considered the main reservoir. The annual number of recorded human leptospirosis cases in Germany (2001-2016) was 25-166. Field fever outbreaks in strawberry pickers, due to infection with Leptospira kirschneri serovar Grippotyphosa, were reported in 2007 and 2014. To identify the most commonly occurring Leptospira genomospecies, sequence types (STs), and their small mammal host specificity, a monitoring study was performed during 2010-2014 in four federal states of Germany. Initial screening of kidney tissues of 3,950 animals by PCR targeting the lipl32 gene revealed 435 rodents of 6 species and 89 shrews of three species positive for leptospiral DNA. PCR-based analyses resulted in the identification of the genomospecies L. kirschneri (62.7%), Leptospira interrogans (28.3%), and Leptospira borgpetersenii (9.0%), which are represented by four, one, and two STs, respectively. The average Leptospira prevalence was highest (approximate to 30%) in common voles (Microtus arvalis) and field voles (Microtus agrestis). Both species were exclusively infected with L. kirschneri. In contrast, in bank voles (Myodes glareolus) and yellow-necked mice (Apodemus flavicollis), DNA of all three genomospecies was detected, and in common shrews (Sorex araneus) DNA of L. kirschneri and L. borgpetersenii was identified. The association between individual infection status and demographic factors varied between species; infection status was always positively correlated to body weight. In conclusion, the study confirmed a broad geographical distribution of Leptospira in small mammals and suggested an important public health relevance of common and field voles as reservoirs of L. kirschneri. Furthermore, the investigations identified seasonal, habitat-related, as well as individual influences on Leptospira prevalence in small mammals that might impact public health. KW - demography KW - Germany KW - habitat KW - Leptospira spp KW - leptospirosis KW - MLST KW - rodent KW - shrew KW - SLST Y1 - 2018 U6 - https://doi.org/10.1089/vbz.2017.2140 SN - 1530-3667 SN - 1557-7759 VL - 18 IS - 4 SP - 188 EP - 199 PB - Liebert CY - New Rochelle ER -