1
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Howard-McCombe J, Jamieson A, Carmagnini A, Russo IRM, Ghazali M, Campbell R, Driscoll C, Murphy WJ, Nowak C, O'Connor T, Tomsett L, Lyons LA, Muñoz-Fuentes V, Bruford MW, Kitchener AC, Larson G, Frantz L, Senn H, Lawson DJ, Beaumont MA. Genetic swamping of the critically endangered Scottish wildcat was recent and accelerated by disease. Curr Biol 2023; 33:4761-4769.e5. [PMID: 37935118 DOI: 10.1016/j.cub.2023.10.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/24/2023] [Accepted: 10/17/2023] [Indexed: 11/09/2023]
Abstract
The European wildcat population in Scotland is considered critically endangered as a result of hybridization with introduced domestic cats,1,2 though the time frame over which this gene flow has taken place is unknown. Here, using genome data from modern, museum, and ancient samples, we reconstructed the trajectory and dated the decline of the local wildcat population from viable to severely hybridized. We demonstrate that although domestic cats have been present in Britain for over 2,000 years,3 the onset of hybridization was only within the last 70 years. Our analyses reveal that the domestic ancestry present in modern wildcats is markedly over-represented in many parts of the genome, including the major histocompatibility complex (MHC). We hypothesize that introgression provides wildcats with protection against diseases harbored and introduced by domestic cats, and that this selection contributes to maladaptive genetic swamping through linkage drag. Using the case of the Scottish wildcat, we demonstrate the importance of local ancestry estimates to both understand the impacts of hybridization in wild populations and support conservation efforts to mitigate the consequences of anthropogenic and environmental change.
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Affiliation(s)
- Jo Howard-McCombe
- School of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK; RZSS WildGenes Laboratory, Conservation Department, Royal Zoological Society of Scotland, Edinburgh EH12 6TS, UK.
| | - Alexandra Jamieson
- The Palaeogenomics & Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford OX1 3QY, UK; Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilians University of Munich, Munich, Germany
| | - Alberto Carmagnini
- Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilians University of Munich, Munich, Germany; School of Biological and Behavioural Sciences, Queen Mary University of London, London E1 4NS, UK
| | | | - Muhammad Ghazali
- RZSS WildGenes Laboratory, Conservation Department, Royal Zoological Society of Scotland, Edinburgh EH12 6TS, UK
| | - Ruairidh Campbell
- Wildlife Conservation Research Unit, Department of Zoology, University of Oxford Recanati-Kaplan Centre, Tubney House, Abingdon Road, Tubney OX13 5QL, UK; NatureScot, Great Glen House, Leachkin Road, Inverness IV3 8NW, UK
| | | | - William J Murphy
- Texas A&M University, Veterinary Integrative Biosciences, College Station, TX 77843, USA
| | - Carsten Nowak
- Senckenberg Research Institute and Natural History Museum, Center for Wildlife Genetics, 63571 Weimar, Germany
| | - Terry O'Connor
- BioArCh, Department of Archaeology, University of York, York YO10 5NG, UK
| | - Louise Tomsett
- Mammal Section, Science Department, Natural History Museum, London SW7 5BD, UK
| | - Leslie A Lyons
- Department of Veterinary Medicine & Surgery, College of Veterinary Medicine, University of Missouri, Columbia, MO 65211, USA
| | - Violeta Muñoz-Fuentes
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | | | - Andrew C Kitchener
- Department of Natural Sciences, National Museums Scotland, Edinburgh EH1 1JF, UK; School of Geosciences, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, UK
| | - Greger Larson
- The Palaeogenomics & Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford OX1 3QY, UK
| | - Laurent Frantz
- Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilians University of Munich, Munich, Germany; School of Biological and Behavioural Sciences, Queen Mary University of London, London E1 4NS, UK
| | - Helen Senn
- RZSS WildGenes Laboratory, Conservation Department, Royal Zoological Society of Scotland, Edinburgh EH12 6TS, UK.
| | - Daniel J Lawson
- School of Mathematics, University of Bristol, Bristol BS8 1UG, UK.
| | - Mark A Beaumont
- School of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK.
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2
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Velli E, Caniglia R, Mattucci F. Phylogenetic History and Phylogeographic Patterns of the European Wildcat ( Felis silvestris) Populations. Animals (Basel) 2023; 13:ani13050953. [PMID: 36899811 PMCID: PMC10000227 DOI: 10.3390/ani13050953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 02/27/2023] [Accepted: 03/02/2023] [Indexed: 03/09/2023] Open
Abstract
Disentangling phylogenetic and phylogeographic patterns is fundamental to reconstruct the evolutionary histories of taxa and assess their actual conservation status. Therefore, in this study, for the first time, the most exhaustive biogeographic history of European wildcat (Felis silvestris) populations was reconstructed by typing 430 European wildcats, 213 domestic cats, and 72 putative admixed individuals, collected across the entire species' distribution range, at a highly diagnostic portion of the mitochondrial ND5 gene. Phylogenetic and phylogeographic analyses identified two main ND5 lineages (D and W) roughly associated with domestic and wild polymorphisms. Lineage D included all domestic cats, 83.3% of putative admixed individuals, and also 41.4% of wildcats; these latter mostly showed haplotypes belonging to sub-clade Ia, that diverged about 37,700 years ago, long pre-dating any evidence for cat domestication. Lineage W included all the remaining wildcats and putative admixed individuals, spatially clustered into four main geographic groups, which started to diverge about 64,200 years ago, corresponding to (i) the isolated Scottish population, (ii) the Iberian population, (iii) a South-Eastern European cluster, and (iv) a Central European cluster. Our results suggest that the last Pleistocene glacial isolation and subsequent re-expansion from Mediterranean and extra-Mediterranean glacial refugia were pivotal drivers in shaping the extant European wildcat phylogenetic and phylogeographic patterns, which were further modeled by both historical natural gene flow among wild lineages and more recent wild x domestic anthropogenic hybridization, as confirmed by the finding of F. catus/lybica shared haplotypes. The reconstructed evolutionary histories and the wild ancestry contents detected in this study could be used to identify adequate Conservation Units within European wildcat populations and help to design appropriate long-term management actions.
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3
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Landscape genetic connectivity in European wildcat (Felis silvestris silvestris): a matter of food, shelters and demographic status of populations. CONSERV GENET 2022. [DOI: 10.1007/s10592-022-01443-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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4
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Howard-McCombe J, Ward D, Kitchener AC, Lawson D, Senn HV, Beaumont M. On the use of genome-wide data to model and date the time of anthropogenic hybridisation: An example from the Scottish wildcat. Mol Ecol 2021; 30:3688-3702. [PMID: 34042240 DOI: 10.1111/mec.16000] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/06/2021] [Accepted: 05/07/2021] [Indexed: 11/28/2022]
Abstract
While hybridisation has long been recognised as an important natural phenomenon in evolution, the conservation of taxa subject to introgressive hybridisation from domesticated forms is a subject of intense debate. Hybridisation of Scottish wildcats and domestic cats is a good example in this regard. Here, we developed a modelling framework to determine the timescale of introgression using approximate Bayesian computation (ABC). Applying the model to ddRAD-seq data from 129 individuals, genotyped at 6546 loci, we show that a population of wildcats genetically distant from domestic cats is still present in Scotland. These individuals were found almost exclusively within the captive breeding programme. Most wild-living cats sampled were introgressed to some extent. The demographic model predicts high levels of gene-flow between domestic cats and Scottish wildcats (13% migrants per generation) over a short timeframe, the posterior mean for the onset of hybridisation (T1 ) was 3.3 generations (~10 years) before present. Although the model had limited power to detect signals of ancient admixture, we found evidence that significant recent hybridisation may have occurred subsequent to the founding of the captive breeding population (T2 ). The model consistently predicts T1 after T2 , estimated here to be 19.3 generations (~60 years) ago, highlighting the importance of this population as a resource for conservation management. Additionally, we evaluate the effectiveness of current methods to classify hybrids. We show that an optimised 35 SNP panel is a better predictor of the ddRAD-based hybrid score in comparison with a morphological method.
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Affiliation(s)
| | - Daniel Ward
- School of Mathematics, University of Bristol, Bristol, UK
| | - Andrew C Kitchener
- Department of Natural Sciences, National Museums Scotland, Edinburgh, UK
| | - Daniel Lawson
- School of Mathematics, University of Bristol, Bristol, UK
| | - Helen V Senn
- RZSS WildGenes Laboratory, Royal Zoological Society of Scotland, Edinburgh, UK
| | - Mark Beaumont
- School of Biological Sciences, University of Bristol, Bristol, UK
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5
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6
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von Thaden A, Nowak C, Tiesmeyer A, Reiners TE, Alves PC, Lyons LA, Mattucci F, Randi E, Cragnolini M, Galián J, Hegyeli Z, Kitchener AC, Lambinet C, Lucas JM, Mölich T, Ramos L, Schockert V, Cocchiararo B. Applying genomic data in wildlife monitoring: Development guidelines for genotyping degraded samples with reduced single nucleotide polymorphism panels. Mol Ecol Resour 2020. [PMID: 31925943 DOI: 10.1111/1755-0998.13136.applying] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The genomic era has led to an unprecedented increase in the availability of genome-wide data for a broad range of taxa. Wildlife management strives to make use of these vast resources to enable refined genetic assessments that enhance biodiversity conservation. However, as new genomic platforms emerge, problems remain in adapting the usually complex approaches for genotyping of noninvasively collected wildlife samples. Here, we provide practical guidelines for the standardized development of reduced single nucleotide polymorphism (SNP) panels applicable for microfluidic genotyping of degraded DNA samples, such as faeces or hairs. We demonstrate how microfluidic SNP panels can be optimized to efficiently monitor European wildcat (Felis silvestris S.) populations. We show how panels can be set up in a modular fashion to accommodate informative markers for relevant population genetics questions, such as individual identification, hybridization assessment and the detection of population structure. We discuss various aspects regarding the implementation of reduced SNP panels and provide a framework that will allow both molecular ecologists and practitioners to help bridge the gap between genomics and applied wildlife conservation.
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Affiliation(s)
- Alina von Thaden
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,Institute for Ecology, Evolution and Diversity, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
| | - Carsten Nowak
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Frankfurt am Main, Germany
| | - Annika Tiesmeyer
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,Institute for Ecology, Evolution and Diversity, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
| | - Tobias E Reiners
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,Institute for Ecology, Evolution and Diversity, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
| | - Paulo C Alves
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO - Laboratório Associado, Universidade do Porto, Vairão, Portugal.,Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal.,Wildlife Biology Program, University of Montana, Missoula, MT, USA
| | - Leslie A Lyons
- Department of Veterinary Medicine and Surgery, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA
| | - Federica Mattucci
- Area per la Genetica della Conservazione, ISPRA, Ozzano dell'Emilia, Bologna, Italy
| | - Ettore Randi
- Department BIGEA, University of Bologna, Bologna, Italy.,Department 18/Section of Environmental Engineering, Aalborg University, Aalborg, Denmark
| | - Margherita Cragnolini
- Institut für Spezielle Zoologie und Evolutionsbiologie, Biologisch-Pharmazeutische Fakultät, Friedrich-Schiller-Universität Jena, Jena, Germany
| | - José Galián
- Departamento de Zoología y Antropología Física, Facultad de Veterinaria, Universidad de Murcia, Murcia, Spain
| | - Zsolt Hegyeli
- "Milvus Group" Bird and Nature Protection Association, Tîrgu Mureş, Romania
| | - Andrew C Kitchener
- Department of Natural Sciences, National Museums Scotland, Edinburgh, UK.,Institute of Geography, School of Geosciences, University of Edinburgh, Edinburgh, UK
| | - Clotilde Lambinet
- Department of Science and Environmental Management, University of Liège, Liège, Belgium
| | - José M Lucas
- Departamento de Zoología y Antropología Física, Facultad de Veterinaria, Universidad de Murcia, Murcia, Spain
| | - Thomas Mölich
- Landesverband Thüringen e.V., BUND für Umwelt und Naturschutz Deutschland (BUND), Erfurt, Germany
| | - Luana Ramos
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO - Laboratório Associado, Universidade do Porto, Vairão, Portugal.,Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal
| | - Vinciane Schockert
- Department of Science and Environmental Management, University of Liège, Liège, Belgium
| | - Berardino Cocchiararo
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Frankfurt am Main, Germany
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7
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von Thaden A, Nowak C, Tiesmeyer A, Reiners TE, Alves PC, Lyons LA, Mattucci F, Randi E, Cragnolini M, Galián J, Hegyeli Z, Kitchener AC, Lambinet C, Lucas JM, Mölich T, Ramos L, Schockert V, Cocchiararo B. Applying genomic data in wildlife monitoring: Development guidelines for genotyping degraded samples with reduced single nucleotide polymorphism panels. Mol Ecol Resour 2020; 20. [PMID: 31925943 DOI: 10.1111/1755-0998.13136] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 12/24/2019] [Accepted: 01/05/2020] [Indexed: 01/16/2023]
Abstract
The genomic era has led to an unprecedented increase in the availability of genome-wide data for a broad range of taxa. Wildlife management strives to make use of these vast resources to enable refined genetic assessments that enhance biodiversity conservation. However, as new genomic platforms emerge, problems remain in adapting the usually complex approaches for genotyping of noninvasively collected wildlife samples. Here, we provide practical guidelines for the standardized development of reduced single nucleotide polymorphism (SNP) panels applicable for microfluidic genotyping of degraded DNA samples, such as faeces or hairs. We demonstrate how microfluidic SNP panels can be optimized to efficiently monitor European wildcat (Felis silvestris S.) populations. We show how panels can be set up in a modular fashion to accommodate informative markers for relevant population genetics questions, such as individual identification, hybridization assessment and the detection of population structure. We discuss various aspects regarding the implementation of reduced SNP panels and provide a framework that will allow both molecular ecologists and practitioners to help bridge the gap between genomics and applied wildlife conservation.
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Affiliation(s)
- Alina von Thaden
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,Institute for Ecology, Evolution and Diversity, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
| | - Carsten Nowak
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Frankfurt am Main, Germany
| | - Annika Tiesmeyer
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,Institute for Ecology, Evolution and Diversity, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
| | - Tobias E Reiners
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,Institute for Ecology, Evolution and Diversity, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
| | - Paulo C Alves
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO - Laboratório Associado, Universidade do Porto, Vairão, Portugal.,Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal.,Wildlife Biology Program, University of Montana, Missoula, MT, USA
| | - Leslie A Lyons
- Department of Veterinary Medicine and Surgery, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA
| | - Federica Mattucci
- Area per la Genetica della Conservazione, ISPRA, Ozzano dell'Emilia, Bologna, Italy
| | - Ettore Randi
- Department BIGEA, University of Bologna, Bologna, Italy.,Department 18/Section of Environmental Engineering, Aalborg University, Aalborg, Denmark
| | - Margherita Cragnolini
- Institut für Spezielle Zoologie und Evolutionsbiologie, Biologisch-Pharmazeutische Fakultät, Friedrich-Schiller-Universität Jena, Jena, Germany
| | - José Galián
- Departamento de Zoología y Antropología Física, Facultad de Veterinaria, Universidad de Murcia, Murcia, Spain
| | - Zsolt Hegyeli
- "Milvus Group" Bird and Nature Protection Association, Tîrgu Mureş, Romania
| | - Andrew C Kitchener
- Department of Natural Sciences, National Museums Scotland, Edinburgh, UK.,Institute of Geography, School of Geosciences, University of Edinburgh, Edinburgh, UK
| | - Clotilde Lambinet
- Department of Science and Environmental Management, University of Liège, Liège, Belgium
| | - José M Lucas
- Departamento de Zoología y Antropología Física, Facultad de Veterinaria, Universidad de Murcia, Murcia, Spain
| | - Thomas Mölich
- Landesverband Thüringen e.V., BUND für Umwelt und Naturschutz Deutschland (BUND), Erfurt, Germany
| | - Luana Ramos
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO - Laboratório Associado, Universidade do Porto, Vairão, Portugal.,Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, Porto, Portugal
| | - Vinciane Schockert
- Department of Science and Environmental Management, University of Liège, Liège, Belgium
| | - Berardino Cocchiararo
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Frankfurt am Main, Germany
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8
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Tiesmeyer A, Ramos L, Manuel Lucas J, Steyer K, Alves PC, Astaras C, Brix M, Cragnolini M, Domokos C, Hegyeli Z, Janssen R, Kitchener AC, Lambinet C, Mestdagh X, Migli D, Monterroso P, Mulder JL, Schockert V, Youlatos D, Pfenninger M, Nowak C. Range-wide patterns of human-mediated hybridisation in European wildcats. CONSERV GENET 2020. [DOI: 10.1007/s10592-019-01247-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
AbstractHybridisation between wild taxa and their domestic congeners is a significant conservation issue. Domestic species frequently outnumber their wild relatives in population size and distribution and may therefore genetically swamp the native species. The European wildcat (Felis silvestris) has been shown to hybridise with domestic cats (Felis catus). Previously suggested spatially divergent introgression levels have not been confirmed on a European scale due to significant differences in the applied methods to assess hybridisation of the European wildcat. We analysed 926 Felis spp. samples from 13 European countries, using a set of 86 selected ancestry-informative SNPs, 14 microsatellites, and ten mitochondrial and Y-chromosome markers to study regional hybridisation and introgression patterns and population differentiation. We detected 51 hybrids (four F1 and 47 F2 or backcrosses) and 521 pure wildcats throughout Europe. The abundance of hybrids varied considerably among studied populations. All samples from Scotland were identified as F2 hybrids or backcrosses, supporting previous findings that the genetic integrity of that wildcat population has been seriously compromised. In other European populations, low to moderate levels of hybridisation were found, with the lowest levels being in Central and Southeast Europe. The occurrence of distinct maternal and paternal markers between wildcat and domestic cat suggests that there were no severe hybridisation episodes in the past. The overall low (< 1%) prevalence of F1 hybrids suggests a low risk of hybridisation for the long-term genetic integrity of the wildcat in most of Europe. However, regionally elevated introgression rates confirm that hybridisation poses a potential threat. We propose regional in-depth monitoring of hybridisation rates to identify factors driving hybridisation so as to develop effective strategies for conservation.
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9
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Anile S, Devillard S, Ragni B, Rovero F, Mattucci F, Valvo ML. Habitat fragmentation and anthropogenic factors affect wildcat Felis silvestris silvestris occupancy and detectability on Mt Etna. WILDLIFE BIOLOGY 2019. [DOI: 10.2981/wlb.00561] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Stefano Anile
- S. Anile, (https://orcid.org/0000-0001-8871-9615) ✉ , Cooperative Wildlife Research Laboratory, Southern Illinois Univ., Carbondale, IL 62901, USA
| | - Sebastien Devillard
- S. Devillard, Univ Lyon, Université Claude Bernard Lyon, CNRS, Laboratoire de Biométrie et Biologie Evolutive, Villeurbanne, France
| | - Bernardino Ragni
- B. Ragni, Dipto di Chimica, Biologia e Biotecnologie, Univ. degli Studi di Perugia, Perugia, Italy
| | - Francesco Rovero
- F. Rovero, Dept of Biology, Univ. of Florence, Sesto Fiorentino, Italy, and: Sezione di Biodiversità Tropicale, MUSE – Museo delle Scienze di Trento, Trento, Italy
| | - Federica Mattucci
- F. Mattucci, Laboratorio di Genetica, Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), Bologna, Italy
| | - Mario Lo Valvo
- M. Lo Valvo, Dipto STEBICEF, Univ. di Palermo, Palermo, Italy
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10
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Sainsbury KA, Shore RF, Schofield H, Croose E, Campbell RD, Mcdonald RA. Recent history, current status, conservation and management of native mammalian carnivore species in Great Britain. Mamm Rev 2019. [DOI: 10.1111/mam.12150] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Affiliation(s)
- Katherine A. Sainsbury
- Environment and Sustainability InstituteUniversity of Exeter Penryn Campus Penryn TR10 9FE UK
| | - Richard F. Shore
- Centre for Ecology & HydrologyLancaster Environment Centre Lancaster LA1 4AP UK
| | - Henry Schofield
- The Vincent Wildlife Trust 3 & 4 Bronsil Courtyard, Eastnor Ledbury HR8 1EP UK
| | - Elizabeth Croose
- The Vincent Wildlife Trust 3 & 4 Bronsil Courtyard, Eastnor Ledbury HR8 1EP UK
| | | | - Robbie A. Mcdonald
- Environment and Sustainability InstituteUniversity of Exeter Penryn Campus Penryn TR10 9FE UK
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11
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Lepard CC, Moll RJ, Cepek JD, Lorch PD, Dennis PM, Robison T, Montgomery RA. The influence of the delay-period setting on camera-trap data storage, wildlife detections and occupancy models. WILDLIFE RESEARCH 2019. [DOI: 10.1071/wr17181] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Context
The use of camera traps in ecological research has grown exponentially over the past decade, but questions remain about the effect of camera-trap settings on ecological inference. The delay-period setting controls the amount of time that a camera trap is idle between motion-activated triggers. Longer delay periods may potentially extend battery life, reduce data-storage requirements, and shorten data-analysis time. However, they might result in lost data (i.e. missed wildlife detections), which could bias ecological inference and compromise research objectives.
Aims
We aimed to examine the effect of the delay period on (1) the number of camera-trap triggers, (2) detection and site-occupancy probabilities for eight mammalian species that varied in size, movement rate and commonness and (3) parameter estimates of habitat-based covariates from the occupancy models for these species.
Methods
We deployed 104 camera traps for 4 months throughout an extensive urban park system in Cleveland, Ohio, USA, using a spatially random design. Using the resultant data, we simulated delay periods ranging from 10s to 60min. For each of these delay periods and for each of our eight focal species, we calculated the number of camera-trap triggers and the parameter estimates of hierarchical Bayesian occupancy models.
Key results
A simulated increase in the delay period from 10s to 10min decreased the number of triggers by 79.6%, and decreased detection probability and occupancy probability across all species by 1.6% and 4.4% respectively. Further increases in the delay period (i.e. from 10 to 60min) resulted in modest additional reductions in the number of triggers and detection and occupancy probabilities. Variation in the delay period had negligible effects on the qualitative interpretations of habitat-based occupancy models for all eight species.
Conclusions
Our results suggest that delay-period settings ranging from 5 to 10min can drastically reduce data-storage needs and analysis time without compromising inference resulting from occupancy modelling for a diversity of mammalian species.
Implications
Broadly, we provide guidance on designing camera-trap studies that optimally trade-off research effort and potential bias, thereby increasing the utility of camera traps as ecological research tools.
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12
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Széles GL, Purger JJ, Molnár T, Lanszki J. Comparative analysis of the diet of feral and house cats and wildcat in Europe. MAMMAL RES 2017. [DOI: 10.1007/s13364-017-0341-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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13
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Silva AP, Curveira-Santos G, Kilshaw K, Newman C, Macdonald DW, Simões LG, Rosalino LM. Climate and anthropogenic factors determine site occupancy in Scotland's Northern-range badger population: implications of context-dependent responses under environmental change. DIVERS DISTRIB 2017. [DOI: 10.1111/ddi.12564] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Affiliation(s)
- André P. Silva
- Department of Animal Ecology; Evolutionary Biology Centre; Uppsala University; Uppsala Sweden
- cE3c - Centre for Ecology, Evolution and Environmental Changes; Faculdade de Ciências; Universidade de Lisboa; Lisboa Portugal
| | - Gonçalo Curveira-Santos
- Department of Animal Ecology; Evolutionary Biology Centre; Uppsala University; Uppsala Sweden
- cE3c - Centre for Ecology, Evolution and Environmental Changes; Faculdade de Ciências; Universidade de Lisboa; Lisboa Portugal
| | - Kerry Kilshaw
- Wildlife Conservation Research Unit; Department of Zoology; University of Oxford; Recanti-Kaplan Centre; Tubney Oxfordshire UK
| | - Chris Newman
- Wildlife Conservation Research Unit; Department of Zoology; University of Oxford; Recanti-Kaplan Centre; Tubney Oxfordshire UK
| | - David W. Macdonald
- Wildlife Conservation Research Unit; Department of Zoology; University of Oxford; Recanti-Kaplan Centre; Tubney Oxfordshire UK
| | - Luciana G. Simões
- cE3c - Centre for Ecology, Evolution and Environmental Changes; Faculdade de Ciências; Universidade de Lisboa; Lisboa Portugal
- Department of Organismal Biology; Uppsala University; Uppsala Sweden
| | - Luís M. Rosalino
- cE3c - Centre for Ecology, Evolution and Environmental Changes; Faculdade de Ciências; Universidade de Lisboa; Lisboa Portugal
- CESAM and Departamento de Biologia; Universidade de Aveiro; Aveiro Portugal
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Mistry P, Neagu D, Sanchez-Ruiz A, Trundle PR, Vessey JD, Gosling JP. Prediction of the effect of formulation on the toxicity of chemicals. Toxicol Res (Camb) 2017; 6:42-53. [PMID: 28261444 PMCID: PMC5310521 DOI: 10.1039/c6tx00303f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Accepted: 10/24/2016] [Indexed: 12/01/2022] Open
Abstract
Two approaches for the prediction of which of two vehicles will result in lower toxicity for anticancer agents are presented. Machine-learning models are developed using decision tree, random forest and partial least squares methodologies and statistical evidence is presented to demonstrate that they represent valid models. Separately, a clustering method is presented that allows the ordering of vehicles by the toxicity they show for chemically-related compounds.
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Affiliation(s)
- Pritesh Mistry
- Artificial Intelligence Research Group , Faculty of Engineering and Informatics , University of Bradford , Bradford , UK
| | - Daniel Neagu
- Artificial Intelligence Research Group , Faculty of Engineering and Informatics , University of Bradford , Bradford , UK
| | - Antonio Sanchez-Ruiz
- Lhasa Limited , Granary Wharf House , 2 Canal Wharf , Holbeck , Leeds , LS11 9PS , UK .
| | - Paul R Trundle
- Artificial Intelligence Research Group , Faculty of Engineering and Informatics , University of Bradford , Bradford , UK
| | - Jonathan D Vessey
- Lhasa Limited , Granary Wharf House , 2 Canal Wharf , Holbeck , Leeds , LS11 9PS , UK .
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Macdonald DW. Animal behaviour and its role in carnivore conservation: examples of seven deadly threats. Anim Behav 2016. [DOI: 10.1016/j.anbehav.2016.06.013] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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