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Proctor MF, Garshelis DL, Thatte P, Steinmetz R, Crudge B, McLellan BN, McShea WJ, Ngoprasert D, Nawaz MA, Te Wong S, Sharma S, Fuller AK, Dharaiya N, Pigeon KE, Fredriksson G, Wang D, Li S, Hwang MH. Review of field methods for monitoring Asian bears. Glob Ecol Conserv 2022. [DOI: 10.1016/j.gecco.2022.e02080] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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2
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Puckett EE, Davis IS. Spatial patterns of genetic diversity in eight bear (Ursidae) species. URSUS 2021. [DOI: 10.2192/ursus-d-20-00029.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
- Emily E. Puckett
- Department of Biological Sciences, University of Memphis, Memphis, TN 38152, USA
| | - Isis S. Davis
- Department of Biological Sciences, University of Memphis, Memphis, TN 38152, USA
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3
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Identifying priority core habitats and corridors for effective conservation of brown bears in Iran. Sci Rep 2021; 11:1044. [PMID: 33441776 PMCID: PMC7806652 DOI: 10.1038/s41598-020-79970-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 12/15/2020] [Indexed: 11/11/2022] Open
Abstract
Iran lies at the southernmost range limit of brown bears globally. Therefore, understanding the habitat associations and patterns of population connectivity for brown bears in Iran is relevant for the species’ conservation. We applied species distribution modeling to predict habitat suitability and connectivity modeling to identify population core areas and corridors. Our results showed that forest density, topographical roughness, NDVI and human footprint were the most influential variables in predicting brown bear distribution. The most crucial core areas and corridor networks for brown bear are concentrated in the Alborz and Zagros Mountains. These two core areas were predicted to be fragmented into a total of fifteen isolated patches if dispersal of brown bear across the landscape is limited to 50,000 cost units, and aggregates into two isolated habitat patches if the species is capable of dispersing 400,000 cost units. We found low overlap between corridors, and core habitats with protected areas, suggesting that the existing protected area network may not be adequate for the conservation of brown bear in Iran. Our results suggest that effective conservation of brown bears in Iran requires protection of both core habitats and the corridors between them, especially outside Iran’s network of protected areas.
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Kojola I, Hallikainen V, Heikkinen S, Nivala V. Has the sex-specific structure of Finland's brown bear population changed during 21 years? WILDLIFE BIOLOGY 2020. [DOI: 10.2981/wlb.00575] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
| | - Ville Hallikainen
- V. Hallikainen, S. Heikkinen and V. Nivala, Natural Resources Institute (Luke), Box 16, FI-96301 Rovaniemi, Finland
| | - Samuli Heikkinen
- V. Hallikainen, S. Heikkinen and V. Nivala, Natural Resources Institute (Luke), Box 16, FI-96301 Rovaniemi, Finland
| | - Vesa Nivala
- V. Hallikainen, S. Heikkinen and V. Nivala, Natural Resources Institute (Luke), Box 16, FI-96301 Rovaniemi, Finland
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Tumendemberel O, Zedrosser A, Proctor MF, Reynolds HV, Adams JR, Sullivan JM, Jacobs SJ, Khorloojav T, Tserenbataa T, Batmunkh M, Swenson JE, Waits LP. Phylogeography, genetic diversity, and connectivity of brown bear populations in Central Asia. PLoS One 2019; 14:e0220746. [PMID: 31408475 PMCID: PMC6692007 DOI: 10.1371/journal.pone.0220746] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 07/22/2019] [Indexed: 11/28/2022] Open
Abstract
Knowledge of genetic diversity and population structure is critical for conservation and management planning at the population level within a species' range. Many brown bear populations in Central Asia are small and geographically isolated, yet their phylogeographic relationships, genetic diversity, and contemporary connectivity are poorly understood. To address this knowledge gap, we collected brown bear samples from the Gobi Desert (n = 2360), Altai, Sayan, Khentii, and Ikh Khyangan mountains of Mongolia (n = 79), and Deosai National Park in the Himalayan Mountain Range of Pakistan (n = 5) and generated 927 base pairs of mitochondrial DNA (mtDNA) sequence data and genotypes at 13 nuclear DNA microsatellite loci. We documented high levels of mtDNA and nDNA diversity in the brown bear populations of northern Mongolia (Altai, Sayan, Buteeliin nuruu and Khentii), but substantially lower diversity in brown bear populations in the Gobi Desert and Himalayas of Pakistan. We detected 3 brown bear mtDNA phylogeographic groups among bears of the region, with clade 3a1 in Sayan, Khentii, and Buteeliin nuruu mountains, clade 3b in Altai, Sayan, Buteeliin nuruu, Khentii, and Ikh Khyangan, and clade 6 in Gobi and Pakistan. Our results also clarified the phylogenetic relationships and divergence times with other brown bear mtDNA clades around the world. The nDNA genetic structure analyses revealed distinctiveness of Gobi bears and different population subdivisions compared to mtDNA results. For example, genetic distance for nDNA microsatellite loci between the bears in Gobi and Altai (FST = 0.147) was less than that of the Gobi and Pakistan (FST = 0.308) suggesting more recent male-mediated nuclear gene flow between Gobi and Altai than between Gobi and the Pakistan bears. Our results provide valuable information for conservation and management of bears in this understudied region of Central Asia and highlight the need for special protection and additional research on Gobi brown bears.
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Affiliation(s)
- Odbayar Tumendemberel
- Department of Natural Science and Environmental Health, University of South-Eastern Norway, Bø i Telemark, Norway
| | - Andreas Zedrosser
- Department of Natural Science and Environmental Health, University of South-Eastern Norway, Bø i Telemark, Norway
| | | | | | - Jennifer R. Adams
- Department of Fish and Wildlife Sciences, University of Idaho, Moscow, Idaho, United States of America
| | - Jack M. Sullivan
- Department of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America
| | - Sarah J. Jacobs
- Department of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America
| | - Tumennasan Khorloojav
- Genetics Laboratory, Institute of General and Experimental Biology, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia
| | - Tuya Tserenbataa
- Sunshine Village Complex, Bayanzurkh District, Ulaanbaatar, Mongolia
| | - Mijiddorj Batmunkh
- Mongolian-Chinese Joint Molecular Biology Laboratory, Ulaanbaatar, Mongolia
| | - Jon E. Swenson
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
| | - Lisette P. Waits
- Department of Fish and Wildlife Sciences, University of Idaho, Moscow, Idaho, United States of America
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Schregel J, Remm J, Eiken HG, Swenson JE, Saarma U, Hagen SB. Multi‐level patterns in population genetics: Variogram series detects a hidden isolation‐by‐distance‐dominated structure of Scandinavian brown bears
Ursus arctos. Methods Ecol Evol 2018. [DOI: 10.1111/2041-210x.12980] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Julia Schregel
- Norwegian Institute of Bioeconomy ResearchNIBIO ‐ Svanhovd Svanvik Norway
- Faculty of Environmental Science and Natural Resource ManagementNorwegian University of Life Sciences Ǻs Norway
| | - Jaanus Remm
- Department of ZoologyInstitute of Ecology and Earth SciencesUniversity of Tartu Tartu Estonia
| | - Hans Geir Eiken
- Norwegian Institute of Bioeconomy ResearchNIBIO ‐ Svanhovd Svanvik Norway
| | - Jon E. Swenson
- Faculty of Environmental Science and Natural Resource ManagementNorwegian University of Life Sciences Ǻs Norway
- Norwegian Institute for Nature Research Trondheim Norway
| | - Urmas Saarma
- Department of ZoologyInstitute of Ecology and Earth SciencesUniversity of Tartu Tartu Estonia
| | - Snorre B. Hagen
- Norwegian Institute of Bioeconomy ResearchNIBIO ‐ Svanhovd Svanvik Norway
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Kopatz A, Eiken HG, Schregel J, Aspi J, Kojola I, Hagen SB. Genetic substructure and admixture as important factors in linkage disequilibrium-based estimation of effective number of breeders in recovering wildlife populations. Ecol Evol 2017; 7:10721-10732. [PMID: 29299252 PMCID: PMC5743533 DOI: 10.1002/ece3.3577] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Revised: 10/03/2017] [Accepted: 10/04/2017] [Indexed: 01/18/2023] Open
Abstract
The number of effective breeders (Nb ) and effective population size (Ne ) are population parameters reflective of evolutionary potential, susceptibility to stochasticity, and viability. We have estimated these parameters using the linkage disequilibrium-based approach with LDNE through the latest phase of population recovery of the brown bears (Ursus arctos) in Finland (1993-2010; N = 621). This phase of the recovery was recently documented to be associated with major changes in genetic composition. In particular, differentiation between the northern and the southern genetic cluster declined rapidly within 1.5 generations. Based on this, we have studied effects of the changing genetic structure on Nb and Ne , by comparing estimates for whole Finland with the estimates for the two genetic clusters. We expected a potentially strong relationship between estimate sizes and genetic differentiation, which should disappear as the population recovers and clusters merge. Consistent with this, our estimates for whole Finland were lower than the sum of the estimates of the two genetic clusters and both approaches produced similar estimates in the end. Notably, we also found that admixed genotypes strongly increased the estimates. In all analyses, our estimates for Ne were larger than Nb and likely reflective for brown bears of the larger region of Finland and northwestern Russia. Conclusively, we find that neglecting genetic substructure may lead to a massive underestimation of Nb and Ne . Our results also suggest the need for further empirical analysis focusing on individuals with admixed genotypes and their potential high influence on Nb and Ne .
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Affiliation(s)
| | - Hans Geir Eiken
- NIBIO—Norwegian Institute of Bioeconomy ResearchSvanvikNorway
| | - Julia Schregel
- NIBIO—Norwegian Institute of Bioeconomy ResearchSvanvikNorway
| | - Jouni Aspi
- Department of BiologyUniversity of OuluOuluFinland
| | - Ilpo Kojola
- Natural Resources Institute Finland (Luke)RovaniemiFinland
| | - Snorre B. Hagen
- NIBIO—Norwegian Institute of Bioeconomy ResearchSvanvikNorway
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Hindrikson M, Remm J, Pilot M, Godinho R, Stronen AV, Baltrūnaité L, Czarnomska SD, Leonard JA, Randi E, Nowak C, Åkesson M, López-Bao JV, Álvares F, Llaneza L, Echegaray J, Vilà C, Ozolins J, Rungis D, Aspi J, Paule L, Skrbinšek T, Saarma U. Wolf population genetics in Europe: a systematic review, meta-analysis and suggestions for conservation and management. Biol Rev Camb Philos Soc 2016; 92:1601-1629. [PMID: 27682639 DOI: 10.1111/brv.12298] [Citation(s) in RCA: 94] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Revised: 08/01/2016] [Accepted: 08/26/2016] [Indexed: 01/04/2023]
Abstract
The grey wolf (Canis lupus) is an iconic large carnivore that has increasingly been recognized as an apex predator with intrinsic value and a keystone species. However, wolves have also long represented a primary source of human-carnivore conflict, which has led to long-term persecution of wolves, resulting in a significant decrease in their numbers, genetic diversity and gene flow between populations. For more effective protection and management of wolf populations in Europe, robust scientific evidence is crucial. This review serves as an analytical summary of the main findings from wolf population genetic studies in Europe, covering major studies from the 'pre-genomic era' and the first insights of the 'genomics era'. We analyse, summarize and discuss findings derived from analyses of three compartments of the mammalian genome with different inheritance modes: maternal (mitochondrial DNA), paternal (Y chromosome) and biparental [autosomal microsatellites and single nucleotide polymorphisms (SNPs)]. To describe large-scale trends and patterns of genetic variation in European wolf populations, we conducted a meta-analysis based on the results of previous microsatellite studies and also included new data, covering all 19 European countries for which wolf genetic information is available: Norway, Sweden, Finland, Estonia, Latvia, Lithuania, Poland, Czech Republic, Slovakia, Germany, Belarus, Russia, Italy, Croatia, Bulgaria, Bosnia and Herzegovina, Greece, Spain and Portugal. We compared different indices of genetic diversity in wolf populations and found a significant spatial trend in heterozygosity across Europe from south-west (lowest genetic diversity) to north-east (highest). The range of spatial autocorrelation calculated on the basis of three characteristics of genetic diversity was 650-850 km, suggesting that the genetic diversity of a given wolf population can be influenced by populations up to 850 km away. As an important outcome of this synthesis, we discuss the most pressing issues threatening wolf populations in Europe, highlight important gaps in current knowledge, suggest solutions to overcome these limitations, and provide recommendations for science-based wolf conservation and management at regional and Europe-wide scales.
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Affiliation(s)
- Maris Hindrikson
- Department of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Vanemuise 46, 51014, Tartu, Estonia
| | - Jaanus Remm
- Department of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Vanemuise 46, 51014, Tartu, Estonia
| | - Malgorzata Pilot
- School of Life Sciences, University of Lincoln, Green Lane, LN6 7DL, Lincoln, UK
| | - Raquel Godinho
- CIBIO/InBio - Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, 4485-661, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre s/n, 4169-007, Porto, Portugal
| | - Astrid Vik Stronen
- Department of Chemistry and Bioscience, Section of Biology and Environmental Science, Aalborg University, Fredrik Bajers Vej 7H, DK-9220, Aalborg Øst, Denmark
| | - Laima Baltrūnaité
- Laboratory of Mammalian Biology, Nature Research Centre, Akademijos 2, 08412, Vilnius, Lithuania
| | - Sylwia D Czarnomska
- Mammal Research Institute Polish Academy of Sciences, Waszkiewicza 1, 17-230, Białowieża, Poland
| | - Jennifer A Leonard
- Department of Integrative Ecology, Conservation and Evolutionary Genetics Group, Estación Biológica de Doñana (EBD-CSIC), Avd. Americo Vespucio s/n, 41092, Seville, Spain
| | - Ettore Randi
- Department of Chemistry and Bioscience, Section of Biology and Environmental Science, Aalborg University, Fredrik Bajers Vej 7H, DK-9220, Aalborg Øst, Denmark
- Laboratorio di Genetica, Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), 40064, Ozzano dell'Emilia, Bologna, Italy
| | - Carsten Nowak
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Clamecystrasse 12, 63571, Gelnhausen, Germany
| | - Mikael Åkesson
- Department of Ecology, Grimsö Wildlife Research Station, Swedish University of Agricultural Sciences, SE-730 91, Riddarhyttan, Sweden
| | | | - Francisco Álvares
- CIBIO/InBio - Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, 4485-661, Vairão, Portugal
| | - Luis Llaneza
- ARENA Asesores en Recursos Naturales S.L. c/Perpetuo Socorro, n° 12 Entlo 2B, 27003, Lugo, Spain
| | - Jorge Echegaray
- Department of Integrative Ecology, Conservation and Evolutionary Genetics Group, Estación Biológica de Doñana (EBD-CSIC), Avd. Americo Vespucio s/n, 41092, Seville, Spain
| | - Carles Vilà
- Department of Integrative Ecology, Conservation and Evolutionary Genetics Group, Estación Biológica de Doñana (EBD-CSIC), Avd. Americo Vespucio s/n, 41092, Seville, Spain
| | - Janis Ozolins
- Latvian State Forest Research Institute "Silava", Rigas iela 111, LV-2169, Salaspils, Latvia
| | - Dainis Rungis
- Latvian State Forest Research Institute "Silava", Rigas iela 111, LV-2169, Salaspils, Latvia
| | - Jouni Aspi
- Department of Genetics and Physiology, University of Oulu, 90014, Oulu, Finland
| | - Ladislav Paule
- Department of Phytology, Faculty of Forestry, Technical University, T.G. Masaryk str. 24, SK-96053, Zvolen, Slovakia
| | - Tomaž Skrbinšek
- Department of Biology, Biotechnical Faculty, University of Ljubljana, Vecna pot 111, 1000, Ljubljana, Slovenia
| | - Urmas Saarma
- Department of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Vanemuise 46, 51014, Tartu, Estonia
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Gonzalez EG, Blanco JC, Ballesteros F, Alcaraz L, Palomero G, Doadrio I. Genetic and demographic recovery of an isolated population of brown bear Ursus arctos L., 1758. PeerJ 2016; 4:e1928. [PMID: 27168963 PMCID: PMC4860320 DOI: 10.7717/peerj.1928] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2015] [Accepted: 03/22/2016] [Indexed: 12/02/2022] Open
Abstract
The brown bear Ursus arctos L., 1758 population of the Cantabrian Mountains (northwestern Spain) became isolated from other bear populations in Europe about 500 years ago and has declined due to hunting and habitat degradation. At the beginning of the 20th century, the Cantabrian population split into eastern and western subpopulations, and genetic exchange between them ceased. In the early 1990s, total population size was estimated to be < 100 bears. Subsequently, reduction in human-caused mortality has brought about an increase in numbers, mainly in the western subpopulation, likely promoting male-mediated migration and gene flow from the western nucleus to the eastern. To evaluate the possible genetic recovery of the small and genetically depauperate eastern subpopulation, in 2013 and 2014 we genotyped hair and faeces samples (116 from the eastern subpopulation and 36 from the western) for 18 microsatellite markers. Data from the annual count of females with cubs of the year (COY) during the past twenty-six years was used to analyze demographic changes. The number of females with COY fell to a minimum of seven in the western and three in eastern subpopulations in the biennium 1993-1994 and reached a respective maximum of 54 and 10 individuals in 2013-2014. We also observed increased bear dispersal and gene flow, mainly from the western to the eastern subpopulation. Of the 26 unique genotypes detected in the eastern subpopulation, 14 (54%) presented an admixture composition, and seven (27%) were determined to be migrants from the western subpopulation. Hence, the two separated and clearly structured subpopulations identified in the past currently show some degree of genetic admixture. This research shows the partial demographic recovery and a change in genetic composition due to migration process in a population of bears that has been isolated for several centuries.
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Affiliation(s)
- Elena G. Gonzalez
- Departamento de Biodiversidad y Biología Evolutiva, Museo Nacional de Ciencias Naturales, MNCN-CSIC, Madrid, Spain
| | | | | | - Lourdes Alcaraz
- Departamento de Biodiversidad y Biología Evolutiva, Museo Nacional de Ciencias Naturales, MNCN-CSIC, Madrid, Spain
| | | | - Ignacio Doadrio
- Departamento de Biodiversidad y Biología Evolutiva, Museo Nacional de Ciencias Naturales, MNCN-CSIC, Madrid, Spain
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10
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Hagen SB, Kopatz A, Aspi J, Kojola I, Eiken HG. Evidence of rapid change in genetic structure and diversity during range expansion in a recovering large terrestrial carnivore. Proc Biol Sci 2016; 282:20150092. [PMID: 25904665 DOI: 10.1098/rspb.2015.0092] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Recovery of natural populations occurs often with simultaneous or subsequent range expansions. According to population genetic theory, genetic structuring emerges at the expansion front together with decreasing genetic diversity, owing to multiple founder events. Thereupon, as the expansion proceeds and connectivity among populations is established, homogenization and a resurgence of genetic diversity are to be expected. Few studies have used a fine temporal scale combined with genetic sampling to track range expansions as they proceed in wild animal populations. As a natural experiment, the historical eradication of large terrestrial carnivores followed by their recovery and recolonization may facilitate empirical tests of these ideas. Here, using brown bear (Ursus arctos) as model species, we tested predictions from genetic theory of range expansion. Individuals from all over Finland were genotyped for every year between 1996 and 2010 using 12 validated autosomal microsatellite markers. A latitudinal shift of about 110 km was observed in the distribution and delineation of genetic clusters during this period. As the range expansion proceeded, we found, as theory predicts, that the degree of genetic structure decreased, and that both genetic variation and admixture increased. The genetic consequences of range expansions may first be detected after multiple generations, but we found major changes in genetic composition after just 1.5 generations, accompanied by population growth and increased migration. These rapid genetic changes suggest an ongoing concerted action of geographical and demographic expansion combined with substantial immigration of bears from Russia during the recovery of brown bears within the large ecosystem of northern Europe.
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Affiliation(s)
- Snorre B Hagen
- Bioforsk-Norwegian Institute for Agricultural and Environmental Research, 9925 Svanvik, Norway
| | - Alexander Kopatz
- Bioforsk-Norwegian Institute for Agricultural and Environmental Research, 9925 Svanvik, Norway
| | - Jouni Aspi
- Department of Biology, University of Oulu, PO Box 3000, 90014 Oulu, Finland
| | - Ilpo Kojola
- Luke-Natural Resources Institute, Viikinkaari 4, 00790 Helsinki, Finland
| | - Hans Geir Eiken
- Bioforsk-Norwegian Institute for Agricultural and Environmental Research, 9925 Svanvik, Norway
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11
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Schregel J, Eiken HG, Grøndahl FA, Hailer F, Aspi J, Kojola I, Tirronen K, Danilov P, Rykov A, Poroshin E, Janke A, Swenson JE, Hagen SB. Y chromosome haplotype distribution of brown bears (Ursus arctos
) in Northern Europe provides insight into population history and recovery. Mol Ecol 2015; 24:6041-60. [DOI: 10.1111/mec.13448] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2015] [Revised: 10/17/2015] [Accepted: 10/26/2015] [Indexed: 11/28/2022]
Affiliation(s)
- Julia Schregel
- Norwegian Institute of Bioeconomy Research; NIBIO - Svanhovd; 9925 Svanvik Norway
- Department of Ecology and Natural Resource Management; Norwegian University of Life Sciences; 1432 Ås Norway
| | - Hans Geir Eiken
- Norwegian Institute of Bioeconomy Research; NIBIO - Svanhovd; 9925 Svanvik Norway
| | | | - Frank Hailer
- School of Biosciences; Cardiff University; Cardiff CF10 3AX Wales UK
- Biodiversity and Climate Research Centre (BiK-F); Senckenberg Gesellschaft für Naturforschung; Senckenberganlage 25 60325 Frankfurt am Main Germany
| | - Jouni Aspi
- Department of Genetics and Physiology; University of Oulu; P.O. Box 3000 90014 Oulu Finland
| | - Ilpo Kojola
- Natural Resources Institute; P.O. Box 16 96301 Rovaniemi Finland
| | - Konstantin Tirronen
- Institute of Biology; Karelian Research Centre of the Russian Academy of Science; 185910 Petrozavodsk Russian Federation
| | - Piotr Danilov
- Institute of Biology; Karelian Research Centre of the Russian Academy of Science; 185910 Petrozavodsk Russian Federation
| | - Alexander Rykov
- Pinezhsky Strict Nature Reserve; Pervomayskaja 123a 164610 Pinega Russian Federation
| | - Eugene Poroshin
- Institute of Biology; Komi Research Centre of the Russian Academy of Science; 016761 Syktvkar Russian Federation
| | - Axel Janke
- Biodiversity and Climate Research Centre (BiK-F); Senckenberg Gesellschaft für Naturforschung; Senckenberganlage 25 60325 Frankfurt am Main Germany
- Goethe University Frankfurt; Institute for Ecology; Evolution & Diversity; 60438 Frankfurt am Main Germany
| | - Jon E. Swenson
- Department of Ecology and Natural Resource Management; Norwegian University of Life Sciences; 1432 Ås Norway
- Norwegian Institute for Nature Research; 7485 Trondheim Norway
| | - Snorre B. Hagen
- Norwegian Institute of Bioeconomy Research; NIBIO - Svanhovd; 9925 Svanvik Norway
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12
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Uno R, Doko T, Ohnishi N, Tamate HB. Population Genetic Structure of the Asian Black Bear (Ursus thibetanus) within and Across Management Units in Northern Japan. MAMMAL STUDY 2015. [DOI: 10.3106/041.040.0404] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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13
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Draheim HM, Lopez V, Etter D, Winterstein SR, Scribner KT. Effects of sampling scale on American black bear spatial genetic structure. URSUS 2015. [DOI: 10.2192/ursus-d-15-00011.1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
- Hope M. Draheim
- Eagle Fish Genetics Lab, Idaho Department of Fish and Game, 1800 Trout Road, Eagle, ID 83616, USA
| | - Veronica Lopez
- Allegheny National Forest, Marienville Ranger District, 131 Smokey Lane, Marienville, PA 16239, USA
| | - Dwayne Etter
- Michigan Department of Natural Resources, Wildlife Division, 8562 E Stoll Road, East Lansing, MI 48823, USA
| | - Scott R. Winterstein
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA
| | - Kim T. Scribner
- Eagle Fish Genetics Lab, Idaho Department of Fish and Game, 1800 Trout Road, Eagle, ID 83616, USA
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14
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Rutkowski R, Krofel M, Giannatos G, Ćirović D, Männil P, Volokh AM, Lanszki J, Heltai M, Szabó L, Banea OC, Yavruyan E, Hayrapetyan V, Kopaliani N, Miliou A, Tryfonopoulos GA, Lymberakis P, Penezić A, Pakeltytė G, Suchecka E, Bogdanowicz W. A European Concern? Genetic Structure and Expansion of Golden Jackals (Canis aureus) in Europe and the Caucasus. PLoS One 2015; 10:e0141236. [PMID: 26540195 PMCID: PMC4634961 DOI: 10.1371/journal.pone.0141236] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2015] [Accepted: 10/05/2015] [Indexed: 11/19/2022] Open
Abstract
In the first continent-wide study of the golden jackal (Canis aureus), we characterised its population genetic structure and attempted to identify the origin of European populations. This provided a unique insight into genetic characteristics of a native carnivore population with rapid large-scale expansion. We analysed 15 microsatellite markers and a 406 base-pair fragment of the mitochondrial control region. Bayesian-based and principal components methods were applied to evaluate whether the geographical grouping of samples corresponded with genetic groups. Our analysis revealed low levels of genetic diversity, reflecting the unique history of the golden jackal among Europe’s native carnivores. The results suggest ongoing gene flow between south-eastern Europe and the Caucasus, with both contributing to the Baltic population, which appeared only recently. The population from the Peloponnese Peninsula in southern Greece forms a common genetic cluster with samples from south-eastern Europe (ΔK approach in STRUCTURE, Principal Components Analysis [PCA]), although the results based on BAPS and the estimated likelihood in STRUCTURE indicate that Peloponnesian jackals may represent a distinct population. Moreover, analyses of population structure also suggest either genetic distinctiveness of the island population from Samos near the coast of Asia Minor (BAPS, most STRUCTURE, PCA), or possibly its connection with the Caucasus population (one analysis in STRUCTURE). We speculate from our results that ancient Mediterranean jackal populations have persisted to the present day, and have merged with jackals colonising from Asia. These data also suggest that new populations of the golden jackal may be founded by long-distance dispersal, and thus should not be treated as an invasive alien species, i.e. an organism that is “non-native to an ecosystem, and which may cause economic or environmental harm or adversely affect human health”. These insights into the genetic structure and ancestry of Baltic jackals have important implications for management and conservation of jackals in Europe. The golden jackal is listed as an Annex V species in the EU Habitats Directive and as such, considering also the results presented here, should be legally protected in all EU member states.
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Affiliation(s)
- Robert Rutkowski
- Museum and Institute of Zoology, Polish Academy of Sciences, Warszawa, Poland
| | - Miha Krofel
- Wildlife Ecology Research Group, Department of Forestry, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Giorgos Giannatos
- Department of Zoology - Marine Biology, School of Biology, University of Athens, Panepistimioupolis, Athens, Greece
| | - Duško Ćirović
- Institute of Zoology, Faculty of Biology, University of Belgrade, Belgrade, Serbia
| | | | | | - József Lanszki
- Department of Nature Conservation, University of Kaposvár, Kaposvár, Hungary
| | - Miklós Heltai
- Institute for Wildlife Conservation, Szent István University, Gödöllő, Hungary
| | - László Szabó
- Institute for Wildlife Conservation, Szent István University, Gödöllő, Hungary
| | | | - Eduard Yavruyan
- Scientific Centre of Zoology and Hydroecology, National Academy of Sciences of Armenia, Yerevan, Armenia
| | - Vahram Hayrapetyan
- Stepanakert Branch of the Armenian National Agrarian University, Stepanakert, Armenia
| | - Natia Kopaliani
- Institute of Ecology, Ilia State University, Tbilisi, Georgia
| | - Anastasia Miliou
- Archipelagos Institute of Marine Conservation, Mesokampos, Pythagorio, Samos, Greece
| | | | - Petros Lymberakis
- Natural History Museum of Crete, University of Crete, Heraklion, Crete, Greece
| | - Aleksandra Penezić
- Institute of Zoology, Faculty of Biology, University of Belgrade, Belgrade, Serbia
| | | | - Ewa Suchecka
- Museum and Institute of Zoology, Polish Academy of Sciences, Warszawa, Poland
| | - Wiesław Bogdanowicz
- Museum and Institute of Zoology, Polish Academy of Sciences, Warszawa, Poland
- * E-mail:
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Aarnes SG, Hagen SB, Andreassen R, Schregel J, Knappskog PM, Hailer F, Stenhouse G, Janke A, Eiken HG. Y-chromosomal testing of brown bears (Ursus arctos): Validation of a multiplex PCR-approach for nine STRs suitable for fecal and hair samples. Forensic Sci Int Genet 2015; 19:197-204. [PMID: 26264959 DOI: 10.1016/j.fsigen.2015.07.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Revised: 06/27/2015] [Accepted: 07/26/2015] [Indexed: 11/15/2022]
Abstract
High-resolution Y-chromosomal markers have been applied to humans and other primates to study population genetics, migration, social structures and reproduction. Y-linked markers allow the direct assessment of the genetic structure and gene flow of uniquely male inherited lineages and may also be useful for wildlife conservation and forensics, but have so far been available only for few wild species. Thus, we have developed two multiplex PCR reactions encompassing nine Y-STR markers identified from the brown bear (Ursus arctos) and tested them on hair, fecal and tissue samples. The multiplex PCR approach was optimized and analyzed for species specificity, sensitivity and stutter-peak ratios. The nine Y-STRs also showed specific STR-fragments for male black bears and male polar bears, while none of the nine markers produced any PCR products when using DNA from female bears or males from 12 other mammals. The multiplex PCR approach in two PCR reactions could be amplified with as low as 0.2 ng template input. Precision was high in DNA templates from hairs, fecal scats and tissues, with standard deviations less than 0.14 and median stutter ratios from 0.04 to 0.63. Among the eight di- and one tetra-nucleotide repeat markers, we detected simple repeat structures in seven of the nine markers with 9-25 repeat units. Allelic variation was found for eight of the nine Y-STRs, with 2-9 alleles for each marker and a total of 36 alleles among 453 male brown bears sampled mainly from Northern Europe. We conclude that the multiplex PCR approach with these nine Y-STRs would provide male bear Y-chromosomal specificity and evidence suited for samples from conservation and wildlife forensics.
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Affiliation(s)
| | | | - Rune Andreassen
- Faculty of Health Sciences, Oslo and Akershus University College, Oslo Norway
| | | | | | - Frank Hailer
- Biodiversity and Climate Research Centre (BiK-F), Senckenberg Gesellschaft für Naturforschung, Senckenberganlage 25, 60325 Frankfurt am Main, Germany; School of Biosciences, Cardiff University, Cardiff CF10 3AX, Wales, UK
| | - Gordon Stenhouse
- Foothills Research Institute, 1176 Switzer Drive, Box 6330, Hinton, AB T7V 1X6, Canada
| | - Axel Janke
- Biodiversity and Climate Research Centre (BiK-F), Senckenberg Gesellschaft für Naturforschung, Senckenberganlage 25, 60325 Frankfurt am Main, Germany; Goethe University Frankfurt, Institute for Ecology, Evolution & Diversity, Frankfurt am Main, Germany
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16
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Valtonen M, Heino M, Aspi J, Buuri H, Kokkonen T, Kunnasranta M, Palo JU, Nyman T. Genetic Monitoring of a Critically-Endangered Seal Population Based on Field-Collected Placentas. ANN ZOOL FENN 2015. [DOI: 10.5735/086.052.0205] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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17
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Chapron G, Kaczensky P, Linnell JDC, von Arx M, Huber D, Andrén H, López-Bao JV, Adamec M, Álvares F, Anders O, Balčiauskas L, Balys V, Bedő P, Bego F, Blanco JC, Breitenmoser U, Brøseth H, Bufka L, Bunikyte R, Ciucci P, Dutsov A, Engleder T, Fuxjäger C, Groff C, Holmala K, Hoxha B, Iliopoulos Y, Ionescu O, Jeremić J, Jerina K, Kluth G, Knauer F, Kojola I, Kos I, Krofel M, Kubala J, Kunovac S, Kusak J, Kutal M, Liberg O, Majić A, Männil P, Manz R, Marboutin E, Marucco F, Melovski D, Mersini K, Mertzanis Y, Mysłajek RW, Nowak S, Odden J, Ozolins J, Palomero G, Paunović M, Persson J, Potočnik H, Quenette PY, Rauer G, Reinhardt I, Rigg R, Ryser A, Salvatori V, Skrbinšek T, Stojanov A, Swenson JE, Szemethy L, Trajçe A, Tsingarska-Sedefcheva E, Váňa M, Veeroja R, Wabakken P, Wölfl M, Wölfl S, Zimmermann F, Zlatanova D, Boitani L. Recovery of large carnivores in Europe's modern human-dominated landscapes. Science 2015; 346:1517-9. [PMID: 25525247 DOI: 10.1126/science.1257553] [Citation(s) in RCA: 826] [Impact Index Per Article: 91.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
The conservation of large carnivores is a formidable challenge for biodiversity conservation. Using a data set on the past and current status of brown bears (Ursus arctos), Eurasian lynx (Lynx lynx), gray wolves (Canis lupus), and wolverines (Gulo gulo) in European countries, we show that roughly one-third of mainland Europe hosts at least one large carnivore species, with stable or increasing abundance in most cases in 21st-century records. The reasons for this overall conservation success include protective legislation, supportive public opinion, and a variety of practices making coexistence between large carnivores and people possible. The European situation reveals that large carnivores and people can share the same landscape.
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Affiliation(s)
- Guillaume Chapron
- Grimsö Wildlife Research Station, Department of Ecology, Swedish University of Agricultural Sciences, 73091 Riddarhyttan, Sweden.
| | - Petra Kaczensky
- Research Institute of Wildlife Ecology, University of Veterinary Medicine, Vienna, Savoyenstrasse 1, 1160 Vienna, Austria
| | - John D C Linnell
- Norwegian Institute for Nature Research, Post Office Box 5685 Sluppen, 7485 Trondheim, Norway
| | | | - Djuro Huber
- Biology Department of the Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10000 Zagreb, Croatia
| | - Henrik Andrén
- Grimsö Wildlife Research Station, Department of Ecology, Swedish University of Agricultural Sciences, 73091 Riddarhyttan, Sweden
| | - José Vicente López-Bao
- Grimsö Wildlife Research Station, Department of Ecology, Swedish University of Agricultural Sciences, 73091 Riddarhyttan, Sweden. Research Unit of Biodiversity (UO/CSIC/PA), Oviedo University, 33600 Mieres, Spain
| | - Michal Adamec
- State Nature Conservancy of Slovak Republic, Tajovskeho 28B, 974 01 Banská Bystrica, Slovakia
| | - Francisco Álvares
- CIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, 4485-661 Vairão, Portugal
| | - Ole Anders
- Harz Nationalpark, Lindenallee 35, 38855 Wernigerode, Germany
| | | | - Vaidas Balys
- Association for Nature Conservation "Baltijos vilkas," Visoriu 6A-54, 08300 Vilnius, Lithuania
| | - Péter Bedő
- Slovak Wildlife Society, Post Office Box 72, 03301 Liptovsky Hradok, Slovakia
| | - Ferdinand Bego
- Biology Department of the Faculty of Natural Sciences, University of Tirana, Boulevard Zog I, Tirana, Albania
| | - Juan Carlos Blanco
- Wolf Project, Consultores en Biología de la Conservación, Calle Manuela Malasana 24, 28004 Madrid, Spain
| | - Urs Breitenmoser
- KORA, Thunstrasse 31, 3074 Muri bei Bern, Switzerland. Centre for Fish and Wildlife Health, Vetsuisse Faculty, University of Bern, Länggassstrasse 122, 3012 Bern, Switzerland
| | - Henrik Brøseth
- Norwegian Institute for Nature Research, Post Office Box 5685 Sluppen, 7485 Trondheim, Norway
| | - Luděk Bufka
- Department of Game Management and Wildlife Biology, Czech University of Life Sciences in Prague, Kamýcká 129, 165 21 Prague, Czech Republic
| | - Raimonda Bunikyte
- Ministry of Environment of the Republic of Lithuania, Jakšto 4/9, 01105 Vilnius, Lithuania
| | - Paolo Ciucci
- Department of Biology and Biotechnologies, University of Rome "La Sapienza," Viale dell'Università 32, 00185 Roma, Italy
| | - Alexander Dutsov
- Balkani Wildlife Society, Boulevard Dragan Tzankov 8, 1164 Sofia, Bulgaria
| | - Thomas Engleder
- Lynx Project Austria Northwest, Linzerstrasse 14, 4170 Haslach/Mühl, Austria
| | - Christian Fuxjäger
- Nationalpark Kalkalpen, Nationalpark Zentrum Molln, Nationalpark Allee 1, 4591 Molln, Austria
| | - Claudio Groff
- Provincia Autonoma di Trento - Servizio Foreste e Fauna, Via Trener no. 3, 38100 Trento, Italy
| | - Katja Holmala
- Finnish Game and Fisheries Research Institute, Viikinkaari 4, 00790 Helsinki, Finland
| | - Bledi Hoxha
- Protection and Preservation of Natural Environment in Albania, Rruga Vangjush Furxhi 16/1/10, Tirana, Albania
| | - Yorgos Iliopoulos
- Callisto Wildlife and Nature Conservation Society, Mitropoleos 123, 54621 Thessaloniki, Greece
| | - Ovidiu Ionescu
- Faculty of Silviculture and Forest Engineering, Department of Silviculture, Transilvania University, 1 Beethoven Lane, 500123 Brașov, Romania. Forest Research Institute (ICAS) Bulevardul Eroilor Number 128, Voluntari, Ilfov, 077190 Romania
| | - Jasna Jeremić
- State Institute for Nature Protection, Trg Mažuranića 5, 10000 Zagreb, Croatia
| | - Klemen Jerina
- University of Ljubljana, Biotechnical Faculty, Jamnikarjeva 101, 1000 Ljubljana, Slovenia
| | - Gesa Kluth
- LUPUS - German Institute for Wolf Mnitoring and Research, Dorfstrasse 20, 02979 Spreewitz, Germany
| | - Felix Knauer
- Research Institute of Wildlife Ecology, University of Veterinary Medicine, Vienna, Savoyenstrasse 1, 1160 Vienna, Austria
| | - Ilpo Kojola
- Finnish Game and Fisheries Research Institute, Oulu Game and Fisheries Research, Tutkijantie 2E, 90570 Oulu, Finland
| | - Ivan Kos
- University of Ljubljana, Biotechnical Faculty, Jamnikarjeva 101, 1000 Ljubljana, Slovenia
| | - Miha Krofel
- University of Ljubljana, Biotechnical Faculty, Jamnikarjeva 101, 1000 Ljubljana, Slovenia
| | - Jakub Kubala
- Department of Forest Protection and Game Management, Faculty of Forestry, Technical University of Zvolen, T.G. Masaryka 20, 960 53 Zvolen, Slovakia
| | - Saša Kunovac
- Faculty of Forestry, University of Sarajevo, Zagrebačka 20, 71000 Sarajevo, Bosnia and Herzegovina
| | - Josip Kusak
- Biology Department of the Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10000 Zagreb, Croatia
| | - Miroslav Kutal
- Department of Forest Protection and Wildlife Management, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 61300 Brno, Czech Republic. Friends of the Earth Czech Republic, Olomouc Branch, Dolní Náměstí 38, 77900 Olomouc, Czech Republic
| | - Olof Liberg
- Grimsö Wildlife Research Station, Department of Ecology, Swedish University of Agricultural Sciences, 73091 Riddarhyttan, Sweden
| | - Aleksandra Majić
- University of Ljubljana, Biotechnical Faculty, Jamnikarjeva 101, 1000 Ljubljana, Slovenia
| | - Peep Männil
- Estonian Environment Agency, Rõõmu tee 2, 51013 Tartu, Estonia
| | - Ralph Manz
- KORA, Thunstrasse 31, 3074 Muri bei Bern, Switzerland
| | - Eric Marboutin
- Office National de la Chasse et de la Faune Sauvage, ZI Mayencin, 5 Allée de Béthléem, 38610 Gières, France
| | - Francesca Marucco
- Centro Gestione e Conservazione Grandi Carnivori, Piazza Regina Elena 30, Valdieri 12010, Italy
| | - Dime Melovski
- Macedonian Ecological Society, Arhimedova 5, Skopje 1000, FYR Macedonia. Department of Wildlife Sciences, Georg-August University, Büsgenweg 3, 37077 Göttingen, Germany
| | - Kujtim Mersini
- National Veterinary Epidemiology Unit, Food Safety and Veterinary Institute, Rruga Aleksandër Moisiu 10 Tirana, Albania
| | - Yorgos Mertzanis
- Callisto Wildlife and Nature Conservation Society, Mitropoleos 123, 54621 Thessaloniki, Greece
| | - Robert W Mysłajek
- Institute of Genetics and Biotechnology, Faculty of Biology, University of Warsaw, Pawińskiego 5a, 02-106 Warszawa, Poland
| | - Sabina Nowak
- Association for Nature "Wolf," Twardorzeczka 229, 34-324 Lipowa, Poland
| | - John Odden
- Norwegian Institute for Nature Research, Post Office Box 5685 Sluppen, 7485 Trondheim, Norway
| | - Janis Ozolins
- Latvian State Forest Research Institute "Silava," Rīgas Iela 111, Salaspils, 2169 Latvia
| | | | - Milan Paunović
- Natural History Museum, Njegoseva 51, 11000 Belgrade, Serbia
| | - Jens Persson
- Grimsö Wildlife Research Station, Department of Ecology, Swedish University of Agricultural Sciences, 73091 Riddarhyttan, Sweden
| | - Hubert Potočnik
- University of Ljubljana, Biotechnical Faculty, Jamnikarjeva 101, 1000 Ljubljana, Slovenia
| | - Pierre-Yves Quenette
- ONCFS-CNERA PAD, Equipe Ours, Chef de Projet, Impasse de la Chapelle, 31800 Villeneuve de Rivière, France
| | - Georg Rauer
- Research Institute of Wildlife Ecology, University of Veterinary Medicine, Vienna, Savoyenstrasse 1, 1160 Vienna, Austria
| | - Ilka Reinhardt
- LUPUS - German Institute for Wolf Mnitoring and Research, Dorfstrasse 20, 02979 Spreewitz, Germany
| | - Robin Rigg
- Slovak Wildlife Society, Post Office Box 72, 03301 Liptovsky Hradok, Slovakia
| | - Andreas Ryser
- KORA, Thunstrasse 31, 3074 Muri bei Bern, Switzerland
| | - Valeria Salvatori
- Istituto di Ecologia Applicata, Via B. Eustachio 10, 00161 Rome, Italy
| | - Tomaž Skrbinšek
- University of Ljubljana, Biotechnical Faculty, Jamnikarjeva 101, 1000 Ljubljana, Slovenia
| | | | - Jon E Swenson
- Norwegian Institute for Nature Research, Post Office Box 5685 Sluppen, 7485 Trondheim, Norway. Department of Ecology and Natural Resource Management, Norwegian University of Life Sciences, Postbox 5003, 1432 Ås, Norway
| | - László Szemethy
- St. István Unversity Institute for Wildlife Conservation, Páter Károly 1, 2103 Gödöllő, Hungary
| | - Aleksandër Trajçe
- Protection and Preservation of Natural Environment in Albania, Rruga Vangjush Furxhi 16/1/10, Tirana, Albania
| | | | - Martin Váňa
- Friends of the Earth Czech Republic, Olomouc Branch, Dolní Náměstí 38, 77900 Olomouc, Czech Republic
| | - Rauno Veeroja
- Estonian Environment Agency, Rõõmu tee 2, 51013 Tartu, Estonia
| | | | - Manfred Wölfl
- Bavarian Agency of Environment, Hans-Högn-Strasse 12, 95030 Hof/Saale, Germany
| | - Sybille Wölfl
- Lynx Project Bavaria, Trailling 1a, 93462 Lam, Germany
| | | | - Diana Zlatanova
- Department of Zoology and Anthropology, Faculty of Biology/Sofia University "St. Kliment Ohridski," Boulevard Dragan Tzankov 8, 1164 Sofia, Bulgaria
| | - Luigi Boitani
- Department of Biology and Biotechnologies, University of Rome "La Sapienza," Viale dell'Università 32, 00185 Roma, Italy
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O’Mahony DT, Turner P, O’Reilly C. Pine marten (Martes martes) abundance in an insular mountainous region using non-invasive techniques. EUR J WILDLIFE RES 2014. [DOI: 10.1007/s10344-014-0878-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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19
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Kraus RHS, vonHoldt B, Cocchiararo B, Harms V, Bayerl H, Kühn R, Förster DW, Fickel J, Roos C, Nowak C. A single-nucleotide polymorphism-based approach for rapid and cost-effective genetic wolf monitoring in Europe based on noninvasively collected samples. Mol Ecol Resour 2014; 15:295-305. [DOI: 10.1111/1755-0998.12307] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2014] [Revised: 07/11/2014] [Accepted: 07/16/2014] [Indexed: 11/30/2022]
Affiliation(s)
- Robert H. S. Kraus
- Conservation Genetics Group; Senckenberg Research Institute and Natural History Museum Frankfurt; D-63571 Gelnhausen Germany
| | - Bridgett vonHoldt
- Department of Ecology and Evolutionary Biology; Princeton University; Princeton NJ 08544 USA
| | - Berardino Cocchiararo
- Conservation Genetics Group; Senckenberg Research Institute and Natural History Museum Frankfurt; D-63571 Gelnhausen Germany
| | - Verena Harms
- Conservation Genetics Group; Senckenberg Research Institute and Natural History Museum Frankfurt; D-63571 Gelnhausen Germany
- Senckenberg Museum of Natural History Görlitz; PF 300154 02806 Görlitz Germany
| | - Helmut Bayerl
- Molecular Zoology Unit; Research Department Animal Sciences; Technische Universität München; Hans-Carl-von-Carlowitz-Platz 2 D-85354 Freising Germany
| | - Ralph Kühn
- Molecular Zoology Unit; Research Department Animal Sciences; Technische Universität München; Hans-Carl-von-Carlowitz-Platz 2 D-85354 Freising Germany
- Wildlife and Conservation Ecology and Molecular Biology Program; Department of Fish; New Mexico State University; Box 30003 MSC 4901 Las Cruces NM 88003-8003 USA
| | - Daniel W. Förster
- Department of Evolutionary Genetics; Leibniz-Institute for Zoo and Wildlife Research; Alfred-Kowalke-Str. 17 D-10315 Berlin Germany
| | - Jörns Fickel
- Department of Evolutionary Genetics; Leibniz-Institute for Zoo and Wildlife Research; Alfred-Kowalke-Str. 17 D-10315 Berlin Germany
| | - Christian Roos
- Gene Bank of Primates and Primate Genetics Laboratory; German Primate Center; Leibniz Institute for Primate Research; Kellnerweg 4 D-37077 Göttingen Germany
| | - Carsten Nowak
- Conservation Genetics Group; Senckenberg Research Institute and Natural History Museum Frankfurt; D-63571 Gelnhausen Germany
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Kopatz A, Eiken HG, Aspi J, Kojola I, Tobiassen C, Tirronen KF, Danilov PI, Hagen SB. Admixture and gene flow from Russia in the recovering Northern European brown bear (Ursus arctos). PLoS One 2014; 9:e97558. [PMID: 24839968 PMCID: PMC4026324 DOI: 10.1371/journal.pone.0097558] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2013] [Accepted: 04/21/2014] [Indexed: 11/18/2022] Open
Abstract
Large carnivores were persecuted to near extinction during the last centuries, but have now recovered in some countries. It has been proposed earlier that the recovery of the Northern European brown bear is supported by migration from Russia. We tested this hypothesis by obtaining for the first time continuous sampling of the whole Finnish bear population, which is located centrally between the Russian and Scandinavian bear populations. The Finnish population is assumed to experience high gene flow from Russian Karelia. If so, no or a low degree of genetic differentiation between Finnish and Russian bears could be expected. We have genotyped bears extensively from all over Finland using 12 validated microsatellite markers and compared their genetic composition to bears from Russian Karelia, Sweden, and Norway. Our fine masked investigation identified two overlapping genetic clusters structured by isolation-by-distance in Finland (pairwise FST = 0.025). One cluster included Russian bears, and migration analyses showed a high number of migrants from Russia into Finland, providing evidence of eastern gene flow as an important driver during recovery. In comparison, both clusters excluded bears from Sweden and Norway, and we found no migrants from Finland in either country, indicating that eastern gene flow was probably not important for the population recovery in Scandinavia. Our analyses on different spatial scales suggest a continuous bear population in Finland and Russian Karelia, separated from Scandinavia.
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Affiliation(s)
- Alexander Kopatz
- Bioforsk - Norwegian Institute for Agricultural and Environmental Research, Svanvik, Norway
- * E-mail: (AK); (SBH)
| | - Hans Geir Eiken
- Bioforsk - Norwegian Institute for Agricultural and Environmental Research, Svanvik, Norway
| | - Jouni Aspi
- Department of Biology, University of Oulu, Oulu, Finland
| | - Ilpo Kojola
- Finnish Game and Fisheries Research Institute, Oulu, Finland
| | - Camilla Tobiassen
- Bioforsk - Norwegian Institute for Agricultural and Environmental Research, Svanvik, Norway
| | - Konstantin F. Tirronen
- Institute of Biology, Karelian Research Centre of the Russian Academy of Science, Petrozavodsk, Russia
| | - Pjotr I. Danilov
- Institute of Biology, Karelian Research Centre of the Russian Academy of Science, Petrozavodsk, Russia
| | - Snorre B. Hagen
- Bioforsk - Norwegian Institute for Agricultural and Environmental Research, Svanvik, Norway
- * E-mail: (AK); (SBH)
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Roellig M, Dorresteijn I, von Wehrden H, Hartel T, Fischer J. Brown bear activity in traditional wood-pastures in Southern Transylvania, Romania. URSUS 2014. [DOI: 10.2192/ursus-d-13-00007.1] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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22
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Bidon T, Janke A, Fain SR, Eiken HG, Hagen SB, Saarma U, Hallström BM, Lecomte N, Hailer F. Brown and polar bear Y chromosomes reveal extensive male-biased gene flow within brother lineages. Mol Biol Evol 2014; 31:1353-63. [PMID: 24667925 DOI: 10.1093/molbev/msu109] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Brown and polar bears have become prominent examples in phylogeography, but previous phylogeographic studies relied largely on maternally inherited mitochondrial DNA (mtDNA) or were geographically restricted. The male-specific Y chromosome, a natural counterpart to mtDNA, has remained underexplored. Although this paternally inherited chromosome is indispensable for comprehensive analyses of phylogeographic patterns, technical difficulties and low variability have hampered its application in most mammals. We developed 13 novel Y-chromosomal sequence and microsatellite markers from the polar bear genome and screened these in a broad geographic sample of 130 brown and polar bears. We also analyzed a 390-kb-long Y-chromosomal scaffold using sequencing data from published male ursine genomes. Y chromosome evidence support the emerging understanding that brown and polar bears started to diverge no later than the Middle Pleistocene. Contrary to mtDNA patterns, we found 1) brown and polar bears to be reciprocally monophyletic sister (or rather brother) lineages, without signals of introgression, 2) male-biased gene flow across continents and on phylogeographic time scales, and 3) male dispersal that links the Alaskan ABC islands population to mainland brown bears. Due to female philopatry, mtDNA provides a highly structured estimate of population differentiation, while male-biased gene flow is a homogenizing force for nuclear genetic variation. Our findings highlight the importance of analyzing both maternally and paternally inherited loci for a comprehensive view of phylogeographic history, and that mtDNA-based phylogeographic studies of many mammals should be reevaluated. Recent advances in sequencing technology render the analysis of Y-chromosomal variation feasible, even in nonmodel organisms.
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Affiliation(s)
- Tobias Bidon
- Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany
| | - Axel Janke
- Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, GermanyGoethe University Frankfurt, Institute for Ecology, Evolution & Diversity, Frankfurt am Main, Germany
| | - Steven R Fain
- National Fish and Wildlife Forensic Laboratory, Ashland, OR
| | - Hans Geir Eiken
- Bioforsk, Norwegian Institute for Agricultural and Environmental Research, Svanvik, Norway
| | - Snorre B Hagen
- Bioforsk, Norwegian Institute for Agricultural and Environmental Research, Svanvik, Norway
| | - Urmas Saarma
- Department of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - Björn M Hallström
- Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, GermanyScience for Life Laboratory, School of Biotechnology, KTH, Stockholm, Sweden
| | - Nicolas Lecomte
- Canada Research Chair in Polar and Boreal Ecology, Department of Biology, University of Moncton, Moncton, Canada
| | - Frank Hailer
- Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany
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23
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Kopatz A, Hagen SB, Smith ME, Ollila LE, Aspholm PE, Eiken HG. A Modification of the Hair-Trapping Method for Surveillance of Problematic Bear Activity Close to a Farm — a Case Study from the Pasvik Valley in Norway. ANN ZOOL FENN 2013. [DOI: 10.5735/086.050.0605] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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24
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Bidon T, Frosch C, Eiken HG, Kutschera VE, Hagen SB, Aarnes SG, Fain SR, Janke A, Hailer F. A sensitive and specific multiplex PCR approach for sex identification of ursine and tremarctine bears suitable for non-invasive samples. Mol Ecol Resour 2013; 13:362-8. [PMID: 23347586 DOI: 10.1111/1755-0998.12072] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2012] [Revised: 12/14/2012] [Accepted: 12/22/2012] [Indexed: 11/26/2022]
Abstract
We report a new approach for molecular sex identification of extant Ursinae and Tremarctinae bears. Two Y-specific fragments (SMCY and 318.2) and one X-specific fragment (ZFX) are amplified in a multiplex PCR, yielding a double test for male-specific amplification and an internal positive control. The primers were designed and tested to be bear-specific, thereby minimizing the risk of cross-amplification in other species including humans. The high sensitivity and small amplicon sizes (100, 124, 160 base pairs) facilitate analysis of non-invasively obtained DNA material. DNA from tissue and blood as well as from 30 non-invasively collected hair and faeces yielded clear and easily interpretable results. The fragments were detected both by standard gel electrophoresis and automated capillary electrophoresis.
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Affiliation(s)
- Tobias Bidon
- LOEWE Biodiversity and Climate Research Centre (BiK-F), Senckenberg Gesellschaft für Naturforschung, Senckenberganlage 25, 60325, Frankfurt am Main, Germany.
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25
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Schoebel CN, Brodbeck S, Buehler D, Cornejo C, Gajurel J, Hartikainen H, Keller D, Leys M, Ríčanová S, Segelbacher G, Werth S, Csencsics D. Lessons learned from microsatellite development for nonmodel organisms using 454 pyrosequencing. J Evol Biol 2013; 26:600-11. [PMID: 23331991 DOI: 10.1111/jeb.12077] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2012] [Accepted: 11/19/2012] [Indexed: 11/28/2022]
Abstract
Microsatellites, also known as simple sequence repeats (SSRs), are among the most commonly used marker types in evolutionary and ecological studies. Next Generation Sequencing techniques such as 454 pyrosequencing allow the rapid development of microsatellite markers in nonmodel organisms. 454 pyrosequencing is a straightforward approach to develop a high number of microsatellite markers. Therefore, developing microsatellites using 454 pyrosequencing has become the method of choice for marker development. Here, we describe a user friendly way of microsatellite development from 454 pyrosequencing data and analyse data sets of 17 nonmodel species (plants, fungi, invertebrates, birds and a mammal) for microsatellite repeats and flanking regions suitable for primer development. We then compare the numbers of successfully lab-tested microsatellite markers for the various species and furthermore describe diverse challenges that might arise in different study species, for example, large genome size or nonpure extraction of genomic DNA. Successful primer identification was feasible for all species. We found that in species for which large repeat numbers are uncommon, such as fungi, polymorphic markers can nevertheless be developed from 454 pyrosequencing reads containing small repeat numbers (five to six repeats). Furthermore, the development of microsatellite markers for species with large genomes was also with Next Generation Sequencing techniques more cost and time-consuming than for species with smaller genomes. In this study, we showed that depending on the species, a different amount of 454 pyrosequencing data might be required for successful identification of a sufficient number of microsatellite markers for ecological genetic studies.
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Affiliation(s)
- C N Schoebel
- Biodiversity & Conservation Biology, WSL Swiss Federal Research Institute, Birmensdorf, Switzerland.
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26
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Schregel J, Kopatz A, Hagen SB, Brøseth H, Smith ME, Wikan S, Wartiainen I, Aspholm PE, Aspi J, Swenson JE, Makarova O, Polikarpova N, Schneider M, Knappskog PM, Ruokonen M, Kojola I, Tirronen KF, Danilov PI, Eiken HG. Limited gene flow among brown bear populations in far Northern Europe? Genetic analysis of the east-west border population in the Pasvik Valley. Mol Ecol 2012; 21:3474-88. [PMID: 22680614 DOI: 10.1111/j.1365-294x.2012.05631.x] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Noninvasively collected genetic data can be used to analyse large-scale connectivity patterns among populations of large predators without disturbing them, which may contribute to unravel the species' roles in natural ecosystems and their requirements for long-term survival. The demographic history of brown bears (Ursus arctos) in Northern Europe indicates several extinction and recolonization events, but little is known about present gene flow between populations of the east and west. We used 12 validated microsatellite markers to analyse 1580 hair and faecal samples collected during six consecutive years (2005-2010) in the Pasvik Valley at 70°N on the border of Norway, Finland and Russia. Our results showed an overall high correlation between the annual estimates of population size (N(c) ), density (D), effective size (N(e) ) and N(e) /N(c) ratio. Furthermore, we observed a genetic heterogeneity of ∼0.8 and high N(e) /N(c) ratios of ∼0.6, which suggests gene flow from the east. Thus, we expanded the population genetic study to include Karelia (Russia, Finland), Västerbotten (Sweden) and Troms (Norway) (477 individuals in total) and detected four distinct genetic clusters with low migration rates among the regions. More specifically, we found that differentiation was relatively low from the Pasvik Valley towards the south and east, whereas, in contrast, moderately high pairwise F(ST) values (0.91-0.12) were detected between the east and the west. Our results indicate ongoing limits to gene flow towards the west, and the existence of barriers to migration between eastern and western brown bear populations in Northern Europe.
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Affiliation(s)
- Julia Schregel
- Bioforsk Soil and Environment, Svanhovd, Norwegian Institute for Agricultural and Environmental Research, NO-9925 Svanvik, Norway.
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27
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Identification and evaluation of novel di- and tetranucleotide microsatellite markers from the brown bear (Ursus arctos). CONSERV GENET RESOUR 2012. [DOI: 10.1007/s12686-012-9634-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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