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Jarausch A, von Thaden A, Sin T, Corradini A, Pop MI, Chiriac S, Gazzola A, Nowak C. Assessment of genetic diversity, population structure and wolf-dog hybridisation in the Eastern Romanian Carpathian wolf population. Sci Rep 2023; 13:22574. [PMID: 38114536 PMCID: PMC10730609 DOI: 10.1038/s41598-023-48741-x] [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: 05/23/2023] [Accepted: 11/29/2023] [Indexed: 12/21/2023] Open
Abstract
The Carpathian Mountains have been constantly inhabited by grey wolves and present one of the largest distribution areas in Europe, comprising between 2300 and 2700 individuals in Romania. To date, however, relatively little is known about the Romanian wolf population. We aimed to provide a first assessment of genetic diversity, population structure and wolf-dog hybridisation based on 444 mostly non-invasively collected samples in the Eastern Romanian Carpathians. Pack reconstruction and analysis of population genetic parameters were performed with mitochondrial DNA control-region sequencing and microsatellite genotyping. We found relatively high levels of genetic diversity, which is similar to values found in previous studies on Carpathian wolves from Poland and Slovakia, as well as to the long-lasting Dinaric-Balkan wolf population. We found no significant population structure in our study region, suggesting effective dispersal and admixture. Analysis of wolf-dog hybridisation using a Single Nucleotide Polymorphism panel optimised for hybrid detection revealed low rates of admixture between wolves and domestic dogs. Our results provide evidence for the existence of a genetically viable wolf population in the Romanian Carpathians. The genetic data obtained in this study may serve as valuable baseline information for the elaboration of monitoring standards and management plans for wolves in Romania.
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Affiliation(s)
- Anne Jarausch
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Clamecystraße 12, 63571, Gelnhausen, Germany.
- Department of Biological Sciences, Johann Wolfgang Goethe-University, Biologicum, Max-von-Laue-Straße 9, 60438, Frankfurt am Main, Germany.
| | - Alina von Thaden
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Clamecystraße 12, 63571, Gelnhausen, Germany
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Senckenberganlage 25, 60325, Frankfurt am Main, Germany
| | - Teodora Sin
- Department of Systems Ecology and Sustainability, Faculty of Biology, University of Bucharest, Splaiul Independentei 91-95, 050095, Bucharest, Romania
- Association for the Conservation of Biological Diversity, Ion Creanga 12, 620083, Focsani, Romania
| | - Andrea Corradini
- Association for the Conservation of Biological Diversity, Ion Creanga 12, 620083, Focsani, Romania
- Animal Ecology Unit, Research and Innovation Centre, Fondazione Edmund Mach, Via Edmund Mach 1, 38098, San Michele all'Adige, TN, Italy
- NBFC, National Biodiversity Future Center, 90133, Palermo, PA, Italy
| | - Mihai I Pop
- Association for the Conservation of Biological Diversity, Ion Creanga 12, 620083, Focsani, Romania
| | - Silviu Chiriac
- Environmental Protection Agency, Vrancea County, Dinicu Golescu 2, 620106, Focsani, Romania
| | - Andrea Gazzola
- Association for the Conservation of Biological Diversity, Ion Creanga 12, 620083, Focsani, Romania
| | - Carsten Nowak
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Clamecystraße 12, 63571, Gelnhausen, Germany
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Senckenberganlage 25, 60325, Frankfurt am Main, Germany
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Cairns KM, Crowther MS, Parker HG, Ostrander EA, Letnic M. Genome-wide variant analyses reveal new patterns of admixture and population structure in Australian dingoes. Mol Ecol 2023; 32:4133-4150. [PMID: 37246949 PMCID: PMC10524503 DOI: 10.1111/mec.16998] [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: 10/10/2022] [Revised: 04/29/2023] [Accepted: 05/05/2023] [Indexed: 05/30/2023]
Abstract
Admixture between species is a cause for concern in wildlife management. Canids are particularly vulnerable to interspecific hybridisation, and genetic admixture has shaped their evolutionary history. Microsatellite DNA testing, relying on a small number of genetic markers and geographically restricted reference populations, has identified extensive domestic dog admixture in Australian dingoes and driven conservation management policy. But there exists a concern that geographic variation in dingo genotypes could confound ancestry analyses that use a small number of genetic markers. Here, we apply genome-wide single-nucleotide polymorphism (SNP) genotyping to a set of 402 wild and captive dingoes collected from across Australia and then carry out comparisons to domestic dogs. We then perform ancestry modelling and biogeographic analyses to characterise population structure in dingoes and investigate the extent of admixture between dingoes and dogs in different regions of the continent. We show that there are at least five distinct dingo populations across Australia. We observed limited evidence of dog admixture in wild dingoes. Our work challenges previous reports regarding the occurrence and extent of dog admixture in dingoes, as our ancestry analyses show that previous assessments severely overestimate the degree of domestic dog admixture in dingo populations, particularly in south-eastern Australia. These findings strongly support the use of genome-wide SNP genotyping as a refined method for wildlife managers and policymakers to assess and inform dingo management policy and legislation moving forwards.
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Affiliation(s)
- Kylie M. Cairns
- Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, Australia
- Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Mathew S. Crowther
- School of Life and Environmental Sciences, University of Sydney, New South Wales 2006, Australia
| | - Heidi G. Parker
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Elaine A. Ostrander
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Mike Letnic
- Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, Australia
- Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, Australia
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Tyagi A, Godbole M, Vanak AT, Ramakrishnan U. Citizen science facilitates first ever genetic detection of wolf-dog hybridization in Indian savannahs. Ecol Evol 2023; 13:e10100. [PMID: 37214618 PMCID: PMC10191802 DOI: 10.1002/ece3.10100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 05/03/2023] [Accepted: 05/04/2023] [Indexed: 05/24/2023] Open
Abstract
Human demographic expansion has confined wildlife to fragmented habitats, often in proximity to human-modified landscapes. Such interfaces facilitate increased interactions between feral or domesticated animals and wildlife, posing a high risk to wild species. This is especially relevant for free-ranging dogs (Canis lupus familiaris) and wild canids like gray wolves (Canis lupus) and golden jackals (Canis aureus). Wolf-dog hybridization may lead to a significant reduction of specific adaptations in wolves that could result in the decline of wolf populations. Detection and genetic discrimination of hybrids between dogs and wolves are challenging because of their complex demographic history and close ancestry. Citizen scientists identified two phenotypically different-looking individuals and subsequently collected non-invasive samples that were used by geneticists to test wolf-dog hybridization. Genomic data from shed hair samples of suspected hybrid individuals using double-digest restriction-site-associated DNA (ddRAD) sequencing resulted in 698 single nucleotide polymorphism (SNP) markers. We investigated the genetic origin of these two individuals analyzed with genetically known dogs, wolves, and other canid species including jackals and dholes (Cuon alpinus). Our results provide the first genetic evidence of one F2 hybrid and the other individual could be a complex hybrid between dogs and wolves. Our results re-iterate the power of next-generation sequencing (NGS) for non-invasive samples as an efficient tool for detecting hybrids. Our results suggest the need for more robust monitoring of wolf populations and highlight the tremendous potential for collaborative approaches between citizens and conservation scientists to detect and monitor threats to biodiversity.
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Affiliation(s)
- Abhinav Tyagi
- National Centre for Biological SciencesTata Institute of Fundamental ResearchBengaluruKarnatakaIndia
- SASTRA Deemed to be UniversityThanjavurTamilnaduIndia
| | | | - Abi Tamim Vanak
- Ashoka Trust for Research in Ecology and the EnvironmentBengaluruKarnatakaIndia
- School of Life SciencesUniversity of KwaZulu‐NatalDurbanSouth Africa
| | - Uma Ramakrishnan
- National Centre for Biological SciencesTata Institute of Fundamental ResearchBengaluruKarnatakaIndia
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Dissegna A, Rota M, Basile S, Fusco G, Mencucci M, Cappai N, Galaverni M, Fabbri E, Velli E, Caniglia R. How to Choose? Comparing Different Methods to Count Wolf Packs in a Protected Area of the Northern Apennines. Genes (Basel) 2023; 14:genes14040932. [PMID: 37107690 PMCID: PMC10137897 DOI: 10.3390/genes14040932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 04/14/2023] [Accepted: 04/15/2023] [Indexed: 04/29/2023] Open
Abstract
Despite a natural rewilding process that caused wolf populations in Europe to increase and expand in the last years, human-wolf conflicts still persist, threatening the long-term wolf presence in both anthropic and natural areas. Conservation management strategies should be carefully designed on updated population data and planned on a wide scale. Unfortunately, reliable ecological data are difficult and expensive to obtain and often hardly comparable through time or among different areas, especially because of different sampling designs. In order to assess the performance of different methods to estimate wolf (Canis lupus L.) abundance and distribution in southern Europe, we simultaneously applied three techniques: wolf howling, camera trapping and non-invasive genetic sampling in a protected area of the northern Apennines. We aimed at counting the minimum number of packs during a single wolf biological year and evaluating the pros and cons for each technique, comparing results obtained from different combinations of these three methods and testing how sampling effort may affect results. We found that packs' identifications could be hardly comparable if methods were separately used with a low sampling effort: wolf howling identified nine, camera trapping 12 and non-invasive genetic sampling eight packs. However, increased sampling efforts produced more consistent and comparable results across all used methods, although results from different sampling designs should be carefully compared. The integration of the three techniques yielded the highest number of detected packs, 13, although with the highest effort and cost. A common standardised sampling strategy should be a priority approach to studying elusive large carnivores, such as the wolf, allowing for the comparison of key population parameters and developing shared and effective conservation management plans.
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Affiliation(s)
- Arianna Dissegna
- Department of Biology, University of Padova, Via Ugo Bassi 58b, 35121 Padova, Italy
| | - Martino Rota
- Department of Biology, University of Padova, Via Ugo Bassi 58b, 35121 Padova, Italy
| | - Simone Basile
- Department of Biology, University of Padova, Via Ugo Bassi 58b, 35121 Padova, Italy
| | - Giuseppe Fusco
- Department of Biology, University of Padova, Via Ugo Bassi 58b, 35121 Padova, Italy
- National Biodiversity Future Center (NBFC), Piazza Marina 61, 90133 Palermo, Italy
| | - Marco Mencucci
- Reparto Carabinieri Parco Nazionale Foreste Casentinesi, Via G. Brocchi 7, 52015 Pratovecchio-Stia, Italy
| | - Nadia Cappai
- Foreste Casentinesi National Park, Via G. Brocchi 7, 52015 Pratovecchio-Stia, Italy
| | | | - Elena Fabbri
- Unit for Conservation Genetics (BIO-CGE), Italian Institute for Environmental Protection and Research (ISPRA), Via Cà Fornacetta 9, 40064 Ozzano dell'Emilia, Italy
| | - Edoardo Velli
- Unit for Conservation Genetics (BIO-CGE), Italian Institute for Environmental Protection and Research (ISPRA), Via Cà Fornacetta 9, 40064 Ozzano dell'Emilia, Italy
| | - Romolo Caniglia
- Unit for Conservation Genetics (BIO-CGE), Italian Institute for Environmental Protection and Research (ISPRA), Via Cà Fornacetta 9, 40064 Ozzano dell'Emilia, Italy
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5
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Kojola I, Hallikainen V, Nivala V, Heikkinen S, Tikkunen M, Huhta E, Ruha L, Pusenius J. Wolf attacks on hunting dogs are negatively related to prey abundance in Finland: an analysis at the wolf territory level. EUR J WILDLIFE RES 2023. [DOI: 10.1007/s10344-023-01652-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
Abstract
Attacks by wolves (Canis lupus) on dogs (C. familiaris) presumably are motivated both by preying and elimination of potential competitors. Regardless of these alternative motivations in wolves, the risk of attacks might be higher when the density of primary prey is low. We examined how many dogs do territorial wolves in Finland kill in relation to the population density of the most abundant ungulates, moose (Alces alces), white-tailed deer (Odocoileus virginianus), and roe deer (Capreolus capreolus). Most attacks by wolves on dogs take place in hunting with dogs. The number of wolf-killed dogs was in highly significant negative relationship to the population density of white-tailed deer and to total ungulate biomass per unit area which is largely determined by the density of white-tailed deer. Our results indicate that abundant wild prey would decrease the risk at which wolves attack dogs. On the other side of the coin prevail two hard facts which wildlife managers had to take a notice. White-tailed deer, although a potential mitigator of wolf–human conflict, is an alien species and a partner in > 6000 traffic collisions annually in Finland. One factor that seemed to increase the risk of wolf attacks on dogs is the low ungulate density in regions where moose is the only remarkable ungulate prey. Higher moose densities could decrease the risk of attacks, but on the other hand, higher densities could increase the risk of serious traffic collisions and browsing damages in forests.
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Balog K, Mizeranschi AE, Wanjala G, Sipos B, Kusza S, Bagi Z. Application potential of chicken DNA chip in domestic pigeon species - Preliminary results. Saudi J Biol Sci 2023; 30:103594. [PMID: 36874200 PMCID: PMC9975693 DOI: 10.1016/j.sjbs.2023.103594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 01/12/2023] [Accepted: 02/06/2023] [Indexed: 02/12/2023] Open
Abstract
Introducing the SNP technology to pigeon breeding will enhance the competitiveness of a sector that produces one of the healthiest and best quality meats. The present study aimed to test the applicability of the Illumina Chicken_50K_CobbCons array on 24 domestic pigeon individuals from the Mirthys hybrids and Racing pigeon breeds. A total of 53,313 SNPs were genotyped. Principal component analysis shows a significant overlap between the two groups. The chip performed poorly in this data set, with a call rate per sample of 0.474 (49%). The low call rate was likely due to an increase in the evolutionary distance. A total of 356 SNPs were retained after a relatively strict quality control. We have demonstrated that it is technically feasible to use a chicken microarray chip on pigeon samples. Presumably, with a larger sample size and by assigning phenotypic data, efficiency would be improved, allowing more thorough analyses, such as genome-wide association studies.
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Affiliation(s)
- Katalin Balog
- University of Debrecen, Doctoral School of Animal Science, Böszörményi út 138, 4032, Debrecen, Hungary.,Centre for Agricultural Genomics and Biotechnology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4002 Debrecen, Hungary
| | | | - George Wanjala
- University of Debrecen, Doctoral School of Animal Science, Böszörményi út 138, 4032, Debrecen, Hungary.,Centre for Agricultural Genomics and Biotechnology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4002 Debrecen, Hungary
| | - Bíborka Sipos
- University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Böszörményi út 138, 4032, Debrecen, Hungary
| | - Szilvia Kusza
- Centre for Agricultural Genomics and Biotechnology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4002 Debrecen, Hungary
| | - Zoltán Bagi
- Centre for Agricultural Genomics and Biotechnology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4002 Debrecen, Hungary
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Theissinger K, Fernandes C, Formenti G, Bista I, Berg PR, Bleidorn C, Bombarely A, Crottini A, Gallo GR, Godoy JA, Jentoft S, Malukiewicz J, Mouton A, Oomen RA, Paez S, Palsbøll PJ, Pampoulie C, Ruiz-López MJ, Secomandi S, Svardal H, Theofanopoulou C, de Vries J, Waldvogel AM, Zhang G, Jarvis ED, Bálint M, Ciofi C, Waterhouse RM, Mazzoni CJ, Höglund J. How genomics can help biodiversity conservation. Trends Genet 2023:S0168-9525(23)00020-3. [PMID: 36801111 DOI: 10.1016/j.tig.2023.01.005] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 11/08/2022] [Accepted: 01/19/2023] [Indexed: 02/18/2023]
Abstract
The availability of public genomic resources can greatly assist biodiversity assessment, conservation, and restoration efforts by providing evidence for scientifically informed management decisions. Here we survey the main approaches and applications in biodiversity and conservation genomics, considering practical factors, such as cost, time, prerequisite skills, and current shortcomings of applications. Most approaches perform best in combination with reference genomes from the target species or closely related species. We review case studies to illustrate how reference genomes can facilitate biodiversity research and conservation across the tree of life. We conclude that the time is ripe to view reference genomes as fundamental resources and to integrate their use as a best practice in conservation genomics.
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Affiliation(s)
- Kathrin Theissinger
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325 Frankfurt/Main, Germany
| | - Carlos Fernandes
- CE3C - Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal; Faculdade de Psicologia, Universidade de Lisboa, Alameda da Universidade, 1649-013 Lisboa, Portugal
| | - Giulio Formenti
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Iliana Bista
- Naturalis Biodiversity Center, Darwinweg 2, 2333, CR, Leiden, The Netherlands; Wellcome Sanger Institute, Tree of Life, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Paul R Berg
- NIVA - Norwegian Institute for Water Research, Økernveien, 94, 0579 Oslo, Norway; Centre for Coastal Research, University of Agder, Gimlemoen 25j, 4630 Kristiansand, Norway; Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO BOX 1066 Blinderm, 0316 Oslo, Norway
| | - Christoph Bleidorn
- University of Göttingen, Department of Animal Evolution and Biodiversity, Untere Karspüle, 2, 37073, Göttingen, Germany
| | | | - Angelica Crottini
- CIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Rua Padre Armando Quintas, 7, 4485-661, Portugal; Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
| | - Guido R Gallo
- Department of Biosciences, University of Milan, Milan, Italy
| | - José A Godoy
- Estación Biológica de Doñana, CSIC, Calle Americo Vespucio 26, 41092, Sevillle, Spain
| | - Sissel Jentoft
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO BOX 1066 Blinderm, 0316 Oslo, Norway
| | - Joanna Malukiewicz
- Primate Genetics Laborator, German Primate Center, Kellnerweg 4, 37077, Göttingen, Germany
| | - Alice Mouton
- InBios - Conservation Genetics Lab, University of Liege, Chemin de la Vallée 4, 4000, Liege, Belgium
| | - Rebekah A Oomen
- Centre for Coastal Research, University of Agder, Gimlemoen 25j, 4630 Kristiansand, Norway; Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO BOX 1066 Blinderm, 0316 Oslo, Norway
| | - Sadye Paez
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Per J Palsbøll
- Groningen Institute of Evolutionary Life Sciences, University of Groningen, Nijenborgh, 9747, AG, Groningen, The Netherlands; Center for Coastal Studies, 5 Holway Avenue, Provincetown, MA 02657, USA
| | - Christophe Pampoulie
- Marine and Freshwater Research Institute, Fornubúðir, 5,220, Hanafjörður, Iceland
| | - María J Ruiz-López
- Estación Biológica de Doñana, CSIC, Calle Americo Vespucio 26, 41092, Sevillle, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Hannes Svardal
- Department of Biology, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Antwerp, Belgium
| | - Constantina Theofanopoulou
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA; Hunter College, City University of New York, NY, USA
| | - Jan de Vries
- University of Goettingen, Institute for Microbiology and Genetics, Department of Applied Bioinformatics, Goettingen Center for Molecular Biosciences (GZMB), Campus Institute Data Science (CIDAS), Goldschmidtstr. 1, 37077, Goettingen, Germany
| | - Ann-Marie Waldvogel
- Institute of Zoology, University of Cologne, Zülpicherstrasse 47b, D-50674, Cologne, Germany
| | - Guojie Zhang
- Evolutionary & Organismal Biology Research Center, Zhejiang University School of Medicine, Hangzhou, 310058, China; Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Denmark; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Erich D Jarvis
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Miklós Bálint
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325 Frankfurt/Main, Germany
| | - Claudio Ciofi
- University of Florence, Department of Biology, Via Madonna del Piano 6, Sesto Fiorentino, (FI) 50019, Italy
| | - Robert M Waterhouse
- University of Lausanne, Department of Ecology and Evolution, Le Biophore, UNIL-Sorge, 1015 Lausanne, Switzerland; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Camila J Mazzoni
- Leibniz Institute for Zoo and Wildlife Research (IZW), Alfred-Kowalke-Str 17, 10315 Berlin, Germany; Berlin Center for Genomics in Biodiversity Research (BeGenDiv), Koenigin-Luise-Str 6-8, 14195 Berlin, Germany
| | - Jacob Höglund
- Department of Ecology and Genetics, Uppsala University, Norbyvägen 18D, 75246, Uppsala, Sweden.
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“Guess Who’s Coming to Dinner”: Molecular Tools to Reconstruct multilocus Genetic Profiles from Wild Canid Consumption Remains. Animals (Basel) 2022; 12:ani12182428. [PMID: 36139288 PMCID: PMC9495216 DOI: 10.3390/ani12182428] [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: 08/08/2022] [Revised: 09/05/2022] [Accepted: 09/13/2022] [Indexed: 11/17/2022] Open
Abstract
Non-invasive genetic sampling is a practical tool to monitor pivotal ecological parameters and population dynamic patterns of endangered species. It can be particularly suitable when applied to elusive carnivores such as the Apennine wolf (Canis lupus italicus) and the European wildcat (Felis silvestris silvestris), which can live in overlapping ecological contexts and sometimes share their habitats with their domestic free-ranging relatives, increasing the risk of anthropogenic hybridisation. In this case study, we exploited all the ecological and genetic information contained in a single biological canid faecal sample, collected in a forested area of central Italy, to detect any sign of trophic interactions between wolves and European wildcats or their domestic counterparts. Firstly, the faecal finding was morphologically examined, showing the presence of felid hair and claw fragment remains. Subsequently, total genomic DNA contained in the hair and claw samples was extracted and genotyped, through a multiple-tube approach, at canid and felid diagnostic panels of microsatellite loci. Finally, the obtained individual multilocus genotypes were analysed with reference wild and domestic canid and felid populations to assess their correct taxonomic status using Bayesian clustering procedures. Assignment analyses classified the genotype obtained from the endothelial cells present on the hair sample as a wolf with slight signals of dog ancestry, showing a qi = 0.954 (C.I. 0.780–1.000) to the wolf cluster, and the genotype obtained from the claw as a domestic cat, showing a qi = 0.996 (95% C.I. = 0.982–1.000) to the domestic cat cluster. Our results clearly show how a non-invasive multidisciplinary approach allows the cost-effective identification of both prey and predator genetic profiles and their taxonomic status, contributing to the improvement of our knowledge about feeding habits, predatory dynamics, and anthropogenic hybridisation risk in threatened species.
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A reduced SNP panel to trace gene flow across southern European wolf populations and detect hybridization with other Canis taxa. Sci Rep 2022; 12:4195. [PMID: 35264717 PMCID: PMC8907317 DOI: 10.1038/s41598-022-08132-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 03/01/2022] [Indexed: 12/18/2022] Open
Abstract
Intra- and inter-specific gene flow are natural evolutionary processes. However, human-induced hybridization is a global conservation concern across taxa, and the development of discriminant genetic markers to differentiate among gene flow processes is essential. Wolves (Canis lupus) are affected by hybridization, particularly in southern Europe, where ongoing recolonization of historic ranges is augmenting gene flow among divergent populations. Our aim was to provide diagnostic canid markers focused on the long-divergent Iberian, Italian and Dinaric wolf populations, based on existing genomic resources. We used 158 canid samples to select a panel of highly informative single nucleotide polymorphisms (SNPs) to (i) distinguish wolves in the three regions from domestic dogs (C. l. familiaris) and golden jackals (C. aureus), and (ii) identify their first two hybrid generations. The resulting 192 SNPs correctly identified the five canid groups, all simulated first-generation (F1) hybrids (0.482 ≤ Qi ≤ 0.512 between their respective parental groups) and all first backcross (BC1) individuals (0.723 ≤ Qi ≤ 0.827 to parental groups). An assay design and test with invasive and non-invasive canid samples performed successfully for 178 SNPs. By separating natural population admixture from inter-specific hybridization, our reduced panel can help advance evolutionary research, monitoring, and timely conservation management.
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How the west was won: genetic reconstruction of rapid wolf recolonization into Germany's anthropogenic landscapes. Heredity (Edinb) 2021; 127:92-106. [PMID: 33846578 PMCID: PMC8249462 DOI: 10.1038/s41437-021-00429-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 03/14/2021] [Accepted: 03/16/2021] [Indexed: 02/02/2023] Open
Abstract
Following massive persecution and eradication, strict legal protection facilitated a successful reestablishment of wolf packs in Germany, which has been ongoing since 2000. Here, we describe this recolonization process by mitochondrial DNA control-region sequencing, microsatellite genotyping and sex identification based on 1341 mostly non-invasively collected samples. We reconstructed the genealogy of German wolf packs between 2005 and 2015 to provide information on trends in genetic diversity, dispersal patterns and pack dynamics during the early expansion process. Our results indicate signs of a founder effect at the start of the recolonization. Genetic diversity in German wolves is moderate compared to other European wolf populations. Although dispersal among packs is male-biased in the sense that females are more philopatric, dispersal distances are similar between males and females once only dispersers are accounted for. Breeding with close relatives is regular and none of the six male wolves originating from the Italian/Alpine population reproduced. However, moderate genetic diversity and inbreeding levels of the recolonizing population are preserved by high sociality, dispersal among packs and several immigration events. Our results demonstrate an ongoing, rapid and natural wolf population expansion in an intensively used cultural landscape in Central Europe.
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