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Snead AA, Tatarenkov A, Taylor DS, Marson K, Earley RL. Centrality to the metapopulation is more important for population genetic diversity than habitat area or fragmentation. Biol Lett 2024; 20:20240158. [PMID: 39044630 PMCID: PMC11267237 DOI: 10.1098/rsbl.2024.0158] [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: 03/24/2024] [Revised: 05/13/2024] [Accepted: 06/18/2024] [Indexed: 07/25/2024] Open
Abstract
Drift and gene flow affect genetic diversity. Given that the strength of genetic drift increases as population size decreases, management activities have focused on increasing population size through preserving habitats to preserve genetic diversity. Few studies have empirically evaluated the impacts of drift and gene flow on genetic diversity. Kryptolebias marmoratus, henceforth 'rivulus', is a small killifish restricted to fragmented New World mangrove forests with gene flow primarily associated with ocean currents. Rivulus form distinct populations across patches, making them a well-suited system to test the extent to which habitat area, fragmentation and connectivity are associated with genetic diversity. Using over 1000 individuals genotyped at 32 microsatellite loci, high-resolution landcover data and oceanographic simulations with graph theory, we demonstrate that centrality (connectivity) to the metapopulation is more strongly associated with genetic diversity than habitat area or fragmentation. By comparing models with and without centrality standardized by the source population's genetic diversity, our results suggest that metapopulation centrality is critical to genetic diversity regardless of the diversity of adjacent populations. While we find evidence that habitat area and fragmentation are related to genetic diversity, centrality is always a significant predictor with a larger effect than any measure of habitat configuration.
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Affiliation(s)
- Anthony A. Snead
- Department of Biological Sciences, University of Alabama, 300 Hackberry Lane, Tuscaloosa, AL35487, USA
- Department of Biology, New York University, New York, NY10003, USA
| | - Andrey Tatarenkov
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA92697, USA
| | - D. Scott Taylor
- The Environmentally Endangered Lands (EEL) Program, Brevard County, Melbourne, FL32904, USA
| | - Kristine Marson
- Department of Biological Sciences, University of Alabama, 300 Hackberry Lane, Tuscaloosa, AL35487, USA
| | - Ryan L. Earley
- Department of Biological Sciences, University of Alabama, 300 Hackberry Lane, Tuscaloosa, AL35487, USA
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2
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Roffler GH, Pilgrim KL, Williams BC. Patterns of Wolf Dispersal Respond to Harvest Density across an Island Complex. Animals (Basel) 2024; 14:622. [PMID: 38396590 PMCID: PMC10885989 DOI: 10.3390/ani14040622] [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: 12/27/2023] [Revised: 01/23/2024] [Accepted: 02/04/2024] [Indexed: 02/25/2024] Open
Abstract
Wolves are highly mobile predators and can disperse across a variety of habitats and over long distances. However, less is known about dispersal capabilities across water and among islands. The biogeography of island systems fosters spatially structured local populations, and their degree of connectivity may influence the dynamics and long-term viability of the regional population. We sought to quantify wolf dispersal rate, distance, and dispersal sex bias throughout Prince of Wales Island, a 6670 km2 island in southeast Alaska, and the surrounding islands that constitute the wildlife management unit (9025 km2). We also investigated patterns of dispersal in relation to hunting and trapping intensity and wolf population density. We used DNA data collected during 2012-2021 long-term monitoring efforts and genotyped 811 wolves, 144 of which (18%) were dispersers. Annual dispersal rates were 9-23% and had a weakly positive relationship with wolf density. Wolves dispersed 41.9 km on average (SD = 23.7 km), and males and females did not disperse at different rates. Of the dispersing wolves, 107 died, and the majority (n = 81) died before they were able to settle. The leading manner of death was trapping (97% of mortalities), and wolves tended to disperse from areas with low harvest density to areas where harvest density was relatively higher. Dispersal occurred both to and from small islands and the larger Prince of Wales Island, indicating bidirectional as opposed to asymmetrical movement, and the genetic overlap of wolf groups demonstrates connectivity throughout this naturally patchy system. Island ecosystems have different predator-prey dynamics and recolonization processes than large, intact systems due to their isolation and restricted sizes; thus, a better understanding of the degree of population connectivity including dispersal patterns among islands in the Prince of Wales archipelago could help inform the management and research strategies of these wolves.
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Affiliation(s)
- Gretchen H. Roffler
- Alaska Department of Fish and Game, Division of Wildlife Conservation, Douglas, AK 99824, USA
| | - Kristine L. Pilgrim
- National Genomics Center for Wildlife and Fish Conservation, Rocky Mountain Research Station, USDA Forest Service, Missoula, MT 59802, USA;
| | - Benjamin C. Williams
- Auke Bay Laboratories, Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Juneau, AK 99801, USA;
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Hrebianchuk AE, Tsybovsky IS. A universal panel of STR loci for the study of polymorphism of the species Canis lupus and forensic identification of dog and wolf. Vavilovskii Zhurnal Genet Selektsii 2024; 28:98-107. [PMID: 38465248 PMCID: PMC10917668 DOI: 10.18699/vjgb-24-12] [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: 01/24/2023] [Revised: 07/04/2023] [Accepted: 07/11/2023] [Indexed: 03/12/2024] Open
Abstract
Commercial panels of microsatellite (STR) loci are intended for DNA analysis of the domestic dog (Canis lupus familiaris) and, therefore, when genotyping the Grey wolf (Canis lupus lupus), most markers reveal significant deviations from the Hardy-Weinberg equilibrium and have a low informative value, which complicates their use in a forensic examination. The aim of this study was to select STR markers that equally effectively reflect population polymorphism in the wolf and the dog, and to create a universal panel for the identification of individuals in forensic science. Based on the study of polymorphisms of 34 STR loci, a CPlex panel of 15 autosomal loci and two sex loci was developed, which is equally suitable for identifying wolfs and dogs. Analysis of molecular variance (AMOVA) between samples revealed significant differentiation values (FST = 0.0828, p < 0.05), which allows the panel to be used for differentiating between wolf and dog samples. For the first time in the forensic examination of objects of animal origin in the Republic of Belarus, population subdivision coefficients (θ-values) were calculated for each of the 15 STR loci of the test system being reported. It was shown that the values of the genotype frequency, when averaged over all studied animals without and with considering the θ-value, differ by three orders of magnitude (3.39 · 10-17 and 4.71 · 10-14, respectively). The use of population subdivision coefficients will provide the researcher with the most relevant results of an expert identification study. The test system was validated in accordance with the protocol of the Scientific Working Group on DNA Analysis Methods. A computational tool was developed to automate the analysis of genetic data on the wolf and dog in the forensic examination; two guides were approved for practicing forensic experts. This methodology is being successfully used in expert practice in investigating cases of illegal hunting, animal abuse and other offenses in the Republic of Belarus.
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Affiliation(s)
- A E Hrebianchuk
- Forensic Examination Committee of the Republic of Belarus, Minsk, Belarus
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Shi Y, Li S, Li Y, Jiang L, Khan FU, Waiho K, Wang Y, Hu M. Saving the overlooked mangrove horseshoe crabs-A perspective from enhancing mangrove ecosystem conservation. MARINE ENVIRONMENTAL RESEARCH 2024; 193:106282. [PMID: 38042633 DOI: 10.1016/j.marenvres.2023.106282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 11/09/2023] [Accepted: 11/19/2023] [Indexed: 12/04/2023]
Abstract
Despite being widely distributed in Asia, Carcinoscorpius rotundicauda is often overlooked and, its population status remains unclear. Moreover, it is threatened by illegal harvesting and degradation of mangrove ecosystems. Protecting its habitat is essential for population and biodiversity conservation, as mangroves provide nursery grounds and food supply for C. rotundicauda. This review discusses the biological characteristics of C. rotundicauda, including ecology, nutrition, life history, toxicology, and immunology. It also presents information about its distribution and population status. The review emphasizes the challenges faced by C. rotundicauda and proposes a conservation framework that involves the participation of local residents to facilitate conservation efforts. Collaboration between local residents and communities is proposed to protect and monitor the mangrove ecosystem. Additionally, this framework can support field research, protect C. rotundicauda juveniles and other species, and ensure the livelihood of local residents through participation in carbon trading markets and eco-industries such as eco-farming and eco-tourism.
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Affiliation(s)
- Yuntian Shi
- International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture, Shanghai Ocean University, Shanghai, 201306, China.
| | - Shuhui Li
- International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture, Shanghai Ocean University, Shanghai, 201306, China
| | - Yaowu Li
- International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture, Shanghai Ocean University, Shanghai, 201306, China
| | - Lingfeng Jiang
- International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture, Shanghai Ocean University, Shanghai, 201306, China
| | - Fahim Ullah Khan
- International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture, Shanghai Ocean University, Shanghai, 201306, China
| | - Khor Waiho
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries, University Malaysia Terengganu, Kuala Nerus, 21030, Terengganu, Malaysia
| | - Youji Wang
- International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture, Shanghai Ocean University, Shanghai, 201306, China.
| | - Menghong Hu
- International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture, Shanghai Ocean University, Shanghai, 201306, China; Marine Biomedical Science and Technology Innovation Platform of Lin-gang Special Area, Shanghai, China.
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5
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Jan M, Stronen AV, Boljte B, Černe R, Huber Đ, Iosif R, Kljun F, Konec M, Kos I, Krofel M, Kusak J, Luštrik R, Majić Skrbinšek A, Promberger-Füerpass B, Potočnik H, Rigg R, Trontelj P, Skrbinšek T. Wolf genetic diversity compared across Europe using the yardstick method. Sci Rep 2023; 13:13727. [PMID: 37608038 PMCID: PMC10444868 DOI: 10.1038/s41598-023-40834-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: 01/19/2023] [Accepted: 08/17/2023] [Indexed: 08/24/2023] Open
Abstract
Integrating data across studies with traditional microsatellite genetic markers requires careful calibration and represents an obstacle for investigation of wide-ranging species where populations require transboundary management. We used the "yardstick" method to compare results published across Europe since 2002 and new wolf (Canis lupus) genetic profiles from the Carpathian Mountains in Central Europe and the Dinaric Mountains in Southeastern Europe, with the latter as our reference population. We compared each population with Dinaric wolves, considering only shared markers (range 4-17). For each population, we calculated standard genetic diversity indices plus calibrated heterozygosity (Hec) and allelic richness (Ac). Hec and Ac in Dinaric (0.704 and 9.394) and Carpathian wolves (0.695 and 7.023) were comparable to those observed in other large and mid-sized European populations, but smaller than those of northeastern Europe. Major discrepancies in marker choices among some studies made comparisons more difficult. However, the yardstick method, including the new measures of Hec and Ac, provided a direct comparison of genetic diversity values among wolf populations and an intuitive interpretation of the results. The yardstick method thus permitted the integration of diverse sources of publicly available microsatellite data for spatiotemporal genetic monitoring of evolutionary potential.
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Affiliation(s)
- Maja Jan
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000, Ljubljana, Slovenia.
| | - Astrid Vik Stronen
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000, Ljubljana, Slovenia
- DivjaLabs d.o.o., Aljaževa ulica 35a, 1000, Ljubljana, Slovenia
- Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220, Aalborg, Denmark
| | - Barbara Boljte
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000, Ljubljana, Slovenia
- DivjaLabs d.o.o., Aljaževa ulica 35a, 1000, Ljubljana, Slovenia
| | - Rok Černe
- Slovenia Forest Service, Večna pot 2, 1000, Ljubljana, Slovenia
| | - Đuro Huber
- Faculty of Veterinary Medicine, University of Zagreb, Vjekoslava Heinzelova 55, 10000, Zagreb, Croatia
| | - Ruben Iosif
- Foundation Conservation Carpathia, 27 Calea Feldioarei, 500471, Brașov, Romania
| | - Franc Kljun
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000, Ljubljana, Slovenia
| | - Marjeta Konec
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000, Ljubljana, Slovenia
- DivjaLabs d.o.o., Aljaževa ulica 35a, 1000, Ljubljana, Slovenia
| | - Ivan Kos
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000, Ljubljana, Slovenia
| | - Miha Krofel
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000, Ljubljana, Slovenia
| | - Josip Kusak
- Faculty of Veterinary Medicine, University of Zagreb, Vjekoslava Heinzelova 55, 10000, Zagreb, Croatia
| | - Roman Luštrik
- Genialis Inc, Vojkova cesta 63, 1000, Ljubljana, Slovenia
| | - Aleksandra Majić Skrbinšek
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000, Ljubljana, Slovenia
- DivjaLabs d.o.o., Aljaževa ulica 35a, 1000, Ljubljana, Slovenia
| | | | - Hubert Potočnik
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000, Ljubljana, Slovenia
| | - Robin Rigg
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000, Ljubljana, Slovenia
- Slovak Wildlife Society, Belanská 574/6, P.O. Box 72, Liptovský Hrádok, 033 01, Slovakia
| | - Peter Trontelj
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000, Ljubljana, Slovenia
| | - Tomaž Skrbinšek
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000, Ljubljana, Slovenia
- DivjaLabs d.o.o., Aljaževa ulica 35a, 1000, Ljubljana, Slovenia
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6
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Alvarez-Aleman A, Hunter ME, Frazer TK, Powell JA, Alfonso EG, Austin JD. The first assessment of the genetic diversity and structure of the endangered West Indian manatee in Cuba. Genetica 2022; 150:327-341. [PMID: 36271978 DOI: 10.1007/s10709-022-00172-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 10/04/2022] [Indexed: 11/04/2022]
Abstract
The coastal waters of Cuba are home to a small, endangered population of West Indian manatee, which would benefit from a comprehensive characterization of the population's genetic variation. We conducted the first genetic assessment of Cuban manatees to determine the extent of the population's genetic structure and characterize the neutral genetic diversity among regions within the archipelago. We genotyped 49 manatees at 18 microsatellite loci, a subset of 27 samples on 1703 single nucleotide polymorphisms (SNPs), and sequenced 59 manatees at the mitochondrial control region. The Cuba manatee population had low nuclear (microsatellites HE = 0.44, and SNP HE = 0.29) and mitochondrial genetic diversity (h = 0.068 and π = 0.00025), and displayed moderate departures from random mating (microsatellite FIS = 0.12, SNP FIS = 0.10). Our results suggest that the western portion of the archipelago undergoes periodic exchange of alleles based on the evidence of shared ancestry and low but significant differentiation. The southeast Guantanamo Bay region and the western portion of the archipelago were more differentiated than southwest and northwest manatees. The genetic distinctiveness observed in the southeast supports its recognition as a demographically independent unit for natural resource management regardless of whether it is due to historical isolation or isolation by distance. Estimates of the regional effective population sizes, with the microsatellite and SNP datasets, were small (all Ne < 60). Subsequent analyses using additional samples could better examine how the observed structure is masking simple isolation by distance patterns or whether ecological or biogeographic forces shape genetic patterns.
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Affiliation(s)
- Anmari Alvarez-Aleman
- School of Natural Resources and Environment, University of Florida, 2035 McCarty hall D, Gainesville, FL, 32611, USA. .,Centro de Investigaciones Marinas, Universidad de La Habana, Calle 16 # 114 Entre 1ra y 3ra Plaza, Havana, Cuba. .,Clearwater Marine Aquarium Research Institute, Clearwater Marine Aquarium, Clearwater, FL, USA.
| | - Margaret E Hunter
- U.S. Geological Survey, Wetland and Aquatic Research Center, 7920 NW 71st Street, Gainesville, FL, 32653, USA
| | - Thomas K Frazer
- School of Natural Resources and Environment, University of Florida, 2035 McCarty hall D, Gainesville, FL, 32611, USA.,College of Marine Science, University of South Florida, 140 Seventh Avenue South, KRC 3109, St. Petersburg, FL, 33701, USA
| | - James A Powell
- Clearwater Marine Aquarium Research Institute, Clearwater Marine Aquarium, Clearwater, FL, USA
| | - Eddy Garcia Alfonso
- Refugio de Fauna Lanzanillo-Pajonal-Fragoso, Empresa Provincial para la Protección de la Flora y la Fauna, Villa Clara, Cuba
| | - James D Austin
- School of Natural Resources and Environment, University of Florida, 2035 McCarty hall D, Gainesville, FL, 32611, USA.,Department of Wildlife Ecology and Conservation, University of Florida, 110 Newins-Ziegler Hall, Gainesville, FL, 32611, USA
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7
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Gilbert SL, Haynes T, Lindberg MS, Albert DM, Kissling M, Lynch L, Person D. Potential Futures for Coastal Wolves and Their Ecosystem Services in Alaska, With Implications for Management of a Social-Ecological System. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.809371] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Carnivores across much of the world are declining, leading to loss of biodiversity as well as the ecosystem services carnivores provide. In 2020, the Alexander Archipelago (AA) wolf was petitioned for protection under the U.S. Endangered Species Act (ESA) for the third time in 30 years. Concerns included habitat alteration from industrial timber harvest and subsequent declines in prey (deer), human-caused mortality, climate change, and genetic inbreeding. However, the underlying biogeography and ecology of these wolves continues to suggest resiliency across the subspecies’ range, even though local populations may go extinct. If local wolf populations go extinct, it will result in loss of their ecosystem services (e.g., interactions of wolves with their prey, which prevents over-browsing and protects carbon sequestration in soils and trees), which will likely have major consequences for the local social-ecological system. Here, we updated a model we constructed for the last ESA listing process (2015) to examine the dynamics of wolf and deer populations on Prince of Wales Island (the primary geographic focus of all three petitions) in response to future environmental and management scenarios developed with stakeholders. Further, we considered how changes in deer abundance impact predation services (prevention of over-browsing by deer). We found that wolf populations generally persisted over 30 years, but dropped below an effective population size of 50 wolves in 10–98% of years simulated. Low wolf abundance resulted in higher deer abundance, which increased hunting opportunity, but also browsing damages (e.g., 19% of areas would be over-browsed if wolf harvest caps are removed, and >30% of areas would be over-browsed if wolves go extinct). Human harvest of wildlife was a key regulator of abundance and ecosystem services within the coastal rainforest social-ecological system; wolf abundance was most affected by wolf harvest regulations; and deer harvest restrictions increased wolf and deer abundances, but also greatly increased browsing impacts (>70% of areas heavily browsed if hunting ceased). Our findings support an integrated approach to management of this social-ecological system, such that social and ecological sciences are both used to monitor important components of the system (e.g., measuring public sentiment and likelihood of poaching, alongside wolf and deer numbers). Integration and adaptive approaches are needed to ensure that the many ecosystem services humans depend on are valued, conserved, and restored, including the cryptic predation services wolves have historically provided to the timber industry via reduced browsing pressure by deer.
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8
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Ausband DE. Genetic diversity and mate selection in a reintroduced population of gray wolves. Sci Rep 2022; 12:535. [PMID: 35017596 PMCID: PMC8752858 DOI: 10.1038/s41598-021-04449-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 12/16/2021] [Indexed: 11/12/2022] Open
Abstract
The genetic composition of an individual can markedly affect its survival, reproduction, and ultimately fitness. As some wildlife populations become smaller, conserving genetic diversity will be a conservation challenge. Many imperiled species are already supported through population augmentation efforts and we often do not know if or how genetic diversity is maintained in translocated species. As a case study for understanding the maintenance of genetic diversity in augmented populations, I wanted to know if genetic diversity (i.e., observed heterozygosity) remained high in a population of gray wolves in the Rocky Mountains of the U.S. > 20 years after reintroduction. Additionally, I wanted to know if a potential mechanism for such diversity was individuals with below average genetic diversity choosing mates with above average diversity. I also asked whether there was a preference for mating with unrelated individuals. Finally, I hypothesized that mated pairs with above average heterozygosity would have increased survival of young. Ultimately, I found that females with below average heterozygosity did not choose mates with above average heterozygosity and wolves chose mates randomly with respect to genetic relatedness. Pup survival was not higher for mated pairs with above average heterozygosity in my models. The dominant variables predicting pup survival were harvest rate during their first year of life and years pairs were mated. Ultimately, genetic diversity was relatively unchanged > 20 years after reintroduction. The mechanism for maintaining such diversity does not appear related to individuals preferentially choosing more genetically diverse mates. Inbreeding avoidance, however, appears to be at least one mechanism maintaining genetic diversity in this population.
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Affiliation(s)
- David E Ausband
- U.S. Geological Survey, Idaho Cooperative Fish and Wildlife Research Unit, University of Idaho, 875 Perimeter Drive, MS 1141, Moscow, ID, 83844, USA.
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9
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Åkesson M, Flagstad Ø, Aspi J, Kojola I, Liberg O, Wabakken P, Sand H. Genetic signature of immigrants and their effect on genetic diversity in the recently established Scandinavian wolf population. CONSERV GENET 2021. [DOI: 10.1007/s10592-021-01423-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
AbstractTransboundary connectivity is a key component when conserving and managing animal species that require large areas to maintain viable population sizes. Wolves Canis lupus recolonized the Scandinavian Peninsula in the early 1980s. The population is geographically isolated and relies on immigration to not lose genetic diversity and to maintain long term viability. In this study we address (1) to what extent the genetic diversity among Scandinavian wolves has recovered during 30 years since its foundation in relation to the source populations in Finland and Russia, (2) if immigration has occurred from both Finland and Russia, two countries with very different wolf management and legislative obligations to ensure long term viability of wolves, and (3) if immigrants can be assumed to be unrelated. Using 26 microsatellite loci we found that although the genetic diversity increased among Scandinavian wolves (n = 143), it has not reached the same levels found in Finland (n = 25) or in Russia (n = 19). Low genetic differentiation between Finnish and Russian wolves, complicated our ability to determine the origin of immigrant wolves (n = 20) with respect to nationality. Nevertheless, based on differences in allelic richness and private allelic richness between the two countries, results supported the occurrence of immigration from both countries. A priori assumptions that immigrants are unrelated is non-advisable, since 5.8% of the pair-wise analyzed immigrants were closely related. To maintain long term viability of wolves in Northern Europe, this study highlights the potential and need for management actions that facilitate transboundary dispersal.
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10
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Zhang S, Li C, Li Y, Chen Q, Hu D, Cheng Z, Wang X, Shan Y, Bai J, Liu G. Genetic Differentiation of Reintroduced Père David's Deer ( Elaphurus davidianus) Based on Population Genomics Analysis. Front Genet 2021; 12:705337. [PMID: 34557217 PMCID: PMC8452920 DOI: 10.3389/fgene.2021.705337] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 08/10/2021] [Indexed: 11/13/2022] Open
Abstract
The reintroduction is an important conservation tool to restore a species in its historically distribution area, but the rate of reintroduction success varies across species or regions due to different reasons. Genetic evaluation is important to the conservation management of reintroduced species. Conservation concerns relate to genetic threats for species with a small population size or severely historically bottle-necked species, such as negative consequences associated with loss of genetic diversity and inbreeding. The last 40years have seen a rapid increasing of population size for Père David's deer (Elaphurus davidianus), which originated from a limited founder population. However, the genetic structure of reintroduced Père David's deer has not been investigated in terms of population genomics, and it is still not clear about the evolutionary history of Père David's deer and to what extent the inbreeding level is. Conservation genomics methods were used to reconstruct the demographic history of Père David's deer, evaluate genetic diversity, and characterize genetic structure among 18 individuals from the captive, free-ranging and wild populations. The results showed that 1,456,457 single nucleotide polymorphisms (SNPs) were obtained for Père David's deer, and low levels of genome-wide genetic diversity were observed in Père David's deer compared with Red deer (Cervus elaphus) and Sika deer (Cervus nippon). A moderate population genetic differentiation was detected among three populations of Père David's deer, especially between the captive population in Beijing Père David's deer park and the free-ranging population in Jiangsu Dafeng National Nature Reserve. The effective population size of Père David's deer started to decline ~25.8ka, and the similar levels of three populations' LD reflected the genetic impacts of long-term population bottlenecks in the Père David's deer. The findings of this study could highlight the necessity of individual exchange between different facilities, and genetic management should generally be integrated into conservation planning with other management considerations.
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Affiliation(s)
- Shumiao Zhang
- Beijing Milu Ecological Research Center, Beijing, China
| | - Chao Li
- Beijing Key Laboratory of Wetland Services and Restoration, Institute of Wetland Research, Chinese Academy of Forestry, Beijing, China
| | - Yiping Li
- Beijing Milu Ecological Research Center, Beijing, China
| | - Qi Chen
- Beijing Milu Ecological Research Center, Beijing, China
| | - Defu Hu
- College of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Zhibin Cheng
- Beijing Milu Ecological Research Center, Beijing, China
| | - Xiao Wang
- Beijing Milu Ecological Research Center, Beijing, China
| | - Yunfang Shan
- Beijing Milu Ecological Research Center, Beijing, China
| | - Jiade Bai
- Beijing Milu Ecological Research Center, Beijing, China
| | - Gang Liu
- Beijing Key Laboratory of Wetland Services and Restoration, Institute of Wetland Research, Chinese Academy of Forestry, Beijing, China
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11
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Harmoinen J, von Thaden A, Aspi J, Kvist L, Cocchiararo B, Jarausch A, Gazzola A, Sin T, Lohi H, Hytönen MK, Kojola I, Stronen AV, Caniglia R, Mattucci F, Galaverni M, Godinho R, Ruiz-González A, Randi E, Muñoz-Fuentes V, Nowak C. Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples. BMC Genomics 2021; 22:473. [PMID: 34171993 PMCID: PMC8235813 DOI: 10.1186/s12864-021-07761-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 06/01/2021] [Indexed: 12/25/2022] Open
Abstract
Background Understanding the processes that lead to hybridization of wolves and dogs is of scientific and management importance, particularly over large geographical scales, as wolves can disperse great distances. However, a method to efficiently detect hybrids in routine wolf monitoring is lacking. Microsatellites offer only limited resolution due to the low number of markers showing distinctive allele frequencies between wolves and dogs. Moreover, calibration across laboratories is time-consuming and costly. In this study, we selected a panel of 96 ancestry informative markers for wolves and dogs, derived from the Illumina CanineHD Whole-Genome BeadChip (174 K). We designed very short amplicons for genotyping on a microfluidic array, thus making the method suitable also for non-invasively collected samples. Results Genotypes based on 93 SNPs from wolves sampled throughout Europe, purebred and non-pedigree dogs, and suspected hybrids showed that the new panel accurately identifies parental individuals, first-generation hybrids and first-generation backcrosses to wolves, while second- and third-generation backcrosses to wolves were identified as advanced hybrids in almost all cases. Our results support the hybrid identity of suspect individuals and the non-hybrid status of individuals regarded as wolves. We also show the adequacy of these markers to assess hybridization at a European-wide scale and the importance of including samples from reference populations. Conclusions We showed that the proposed SNP panel is an efficient tool for detecting hybrids up to the third-generation backcrosses to wolves across Europe. Notably, the proposed genotyping method is suitable for a variety of samples, including non-invasive and museum samples, making this panel useful for wolf-dog hybrid assessments and wolf monitoring at both continental and different temporal scales. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07761-5.
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Affiliation(s)
- Jenni Harmoinen
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland.
| | - Alina von Thaden
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,Institute for Ecology, Evolution and Diversity, Johann Wolfgang Goethe-University, Biologicum, Frankfurt am Main, Germany
| | - Jouni Aspi
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | - Laura Kvist
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | - Berardino Cocchiararo
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Frankfurt am Main, Germany
| | - Anne Jarausch
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,Institute for Ecology, Evolution and Diversity, Johann Wolfgang Goethe-University, Biologicum, Frankfurt am Main, Germany
| | - Andrea Gazzola
- Association for the Conservation of Biological Diversity, Focşani, Romania
| | - Teodora Sin
- Association for the Conservation of Biological Diversity, Focşani, Romania.,Department of Systems Ecology and Sustainability, Faculty of Biology, University of Bucharest, Bucharest, Romania
| | - Hannes Lohi
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland.,Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland.,Folkhälsan Research Center, Helsinki, Finland
| | - Marjo K Hytönen
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland.,Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland.,Folkhälsan Research Center, Helsinki, Finland
| | - Ilpo Kojola
- Natural Resources Institute Finland (Luke), Eteläranta 55, FI-96300, Rovaniemi, Finland
| | - Astrid Vik Stronen
- Department of Biology, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia.,Department of Biotechnology and Life Sciences, Insubria University, Varese, Italy
| | - Romolo Caniglia
- Unit for Conservation Genetics (BIO-CGE), Department for the Monitoring and Protection of the Environment and for Biodiversity Conservation, Italian Institute for Environmental Protection and Research, Bologna, Italy
| | - Federica Mattucci
- Unit for Conservation Genetics (BIO-CGE), Department for the Monitoring and Protection of the Environment and for Biodiversity Conservation, Italian Institute for Environmental Protection and Research, Bologna, Italy
| | | | - Raquel Godinho
- CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus de Vairão, 4485-661, Vairão, Portugal.,Department of Biology, Faculty of Science, University of Porto, Porto, Portugal
| | - Aritz Ruiz-González
- Unit for Conservation Genetics (BIO-CGE), Department for the Monitoring and Protection of the Environment and for Biodiversity Conservation, Italian Institute for Environmental Protection and Research, Bologna, Italy.,Department of Zoology and Animal Cell Biology, Zoology Laboratory, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Ettore Randi
- Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy.,Department of Chemistry and Bioscience, Faculty of Engineering and Science, University of Aalborg, Aalborg, Denmark
| | - Violeta Muñoz-Fuentes
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Carsten Nowak
- Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.,LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Frankfurt am Main, Germany
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12
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Korablev MP, Korablev NP, Korablev PN. Genetic diversity and population structure of the grey wolf (Canis lupus Linnaeus, 1758) and evidence of wolf × dog hybridisation in the centre of European Russia. Mamm Biol 2020. [DOI: 10.1007/s42991-020-00074-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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13
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Epstein Y, Kantinkoski S. Non-governmental Enforcement of EU Environmental Law: A Stakeholder Action for Wolf Protection in Finland. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.00101] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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14
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Lansink GMJ, Esparza-Salas R, Joensuu M, Koskela A, Bujnáková D, Kleven O, Flagstad Ø, Ollila T, Kojola I, Aspi J, Kvist L. Population genetics of the wolverine in Finland: the road to recovery? CONSERV GENET 2020. [DOI: 10.1007/s10592-020-01264-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
AbstractAfter decades, even centuries of persecution, large carnivore populations are widely recovering in Europe. Considering the recent recovery of the wolverine (Gulo gulo) in Finland, our aim was to evaluate genetic variation using 14 microsatellites and mtDNA control region (579 bp) in order (1) to determine whether the species is represented by a single genetic population within Finland, (2) to quantify the genetic diversity, and (3) to estimate the effective population size. We found two major genetic clusters divided between eastern and northern Finland based on microsatellites (FST = 0.100) but also a significant pattern of isolation by distance. Wolverines in western Finland had a genetic signature similar to the northern cluster, which can be explained by former translocations of wolverines from northern to western Finland. For both main clusters, most estimates of the effective population size Ne were below 50. Nevertheless, the genetic diversity was higher in the eastern cluster (HE = 0.57, AR = 4.0, AP = 0.3) than in the northern cluster (HE = 0.49, AR = 3.7, AP = 0.1). Migration between the clusters was low. Two mtDNA haplotypes were found: one common and identical to Scandinavian wolverines; the other rare and not previously detected. The rare haplotype was more prominent in the eastern genetic cluster. Combining all available data, we infer that the genetic population structure within Finland is shaped by a recent bottleneck, isolation by distance, human-aided translocations and postglacial recolonization routes.
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15
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Bhatt S, Biswas S, Karanth K, Pandav B, Mondol S. Genetic analyses reveal population structure and recent decline in leopards ( Panthera pardus fusca) across the Indian subcontinent. PeerJ 2020; 8:e8482. [PMID: 32117616 PMCID: PMC7006512 DOI: 10.7717/peerj.8482] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 12/29/2019] [Indexed: 11/21/2022] Open
Abstract
Background Large carnivores maintain the stability and functioning of ecosystems. Currently, many carnivore species face declining population sizes due to natural and anthropogenic pressures. The leopard, Panthera pardus, is probably the most widely distributed and highly adaptable large felid globally, still persisting in most of its historic range. However, we lack subspecies-level data on country or regional scale on population trends, as ecological monitoring approaches are difficult to apply on such wide-ranging species. We used genetic data from leopards sampled across the Indian subcontinent to investigate population structure and patterns of demographic decline. Methods We collected faecal samples from the Terai-Arc landscape of northern India and identified 56 unique individuals using a panel of 13 microsatellite markers. We merged this data with already available 143 leopard individuals and assessed genetic structure at country scale. Subsequently, we investigated the demographic history of each identified subpopulations and compared genetic decline analyses with countrywide local extinction probabilities. Results Our genetic analyses revealed four distinct subpopulations corresponding to Western Ghats, Deccan Plateau-Semi Arid, Shivalik and Terai region of the north Indian landscape, each with high genetic variation. Coalescent simulations with microsatellite loci revealed a possibly human-induced 75–90% population decline between ∼120–200 years ago across India. Population-specific estimates of genetic decline are in concordance with ecological estimates of local extinction probabilities in these subpopulations obtained from occupancy modeling of the historic and current distribution of leopards in India. Conclusions Our results confirm the population decline of a widely distributed, adaptable large carnivore. We re-iterate the relevance of indirect genetic methods for such species in conjunction with occupancy assessment and recommend that detailed, landscape-level ecological studies on leopard populations are critical to future conservation efforts. Our approaches and inference are relevant to other widely distributed, seemingly unaffected carnivores such as the leopard.
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Affiliation(s)
- Supriya Bhatt
- Animal Ecology and Conservation Biology, Wildlife Institute of India, Dehradun, India
| | - Suvankar Biswas
- Animal Ecology and Conservation Biology, Wildlife Institute of India, Dehradun, India
| | - Krithi Karanth
- Centre for Wildlife Studies, Bengaluru, India.,Nicholas School of Environment, Duke University, Durham, United States of America
| | - Bivash Pandav
- Endangered Species Management, Wildlife Institute of India, Dehradun, India
| | - Samrat Mondol
- Animal Ecology and Conservation Biology, Wildlife Institute of India, Dehradun, India
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16
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Talala MS, Bondarev AY, Zakharov ES, Politov DV. Genetic Differentiation of the Wolf Canis lupus L. Populations from Siberia at Microsatellite Loci. RUSS J GENET+ 2020. [DOI: 10.1134/s1022795420010123] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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17
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Rocha RG, Magalhães V, López-Bao JV, van der Loo W, Llaneza L, Alvares F, Esteves PJ, Godinho R. Alternated selection mechanisms maintain adaptive diversity in different demographic scenarios of a large carnivore. BMC Evol Biol 2019; 19:90. [PMID: 30975084 PMCID: PMC6460805 DOI: 10.1186/s12862-019-1420-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 04/04/2019] [Indexed: 01/26/2023] Open
Abstract
Background Different population trajectories are expected to impact the signature of neutral and adaptive processes at multiple levels, challenging the assessment of the relative roles of different microevolutionary forces. Here, we integrate adaptive and neutral variability patterns to disentangle how adaptive diversity is driven under different demographic scenarios within the Iberian wolf (Canis lupus) range. We studied the persistent, the expanding and a small, isolated group within the Iberian wolf population, using 3 MHC class II genes (DRB1, DQA1, and DQB1), which diversity was compared with 39 microsatellite loci. Results Both the persistent and the expanding groups show evidence of balancing selection, revealed by a significant departure from neutrality at MHC loci, significant higher observed and expected heterozygosity and lower differentiation at MHC than at neutral loci, and signs of positive selection. However, despite exhibiting a significantly higher genetic diversity than the isolated group, the persistent group did not show significant excess of MHC heterozygotes. The expanding group, while showing a similar level of genetic diversity than the persistent group, displays by contrast a significant excess of MHC heterozygotes, which is compatible with the heterozygote advantage mechanism. Results are not clear regarding the role of drift and selection in the isolated group due to the small size of this population. Although diversity indices of MHC loci correspond to neutral expectations in the isolated group, accelerated MHC divergence, revealed by a higher differentiation at MHC than neutral loci, may indicate diversifying selection. Conclusion Different selective pressures were observed in the three different demographic scenarios, which are possibly driven by different selection mechanisms to maintain adaptive diversity. Electronic supplementary material The online version of this article (10.1186/s12862-019-1420-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Rita G Rocha
- CIBIO/InBio - Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus de Vairão, 4485-661, Vairão, Portugal
| | - Vanessa Magalhães
- CIBIO/InBio - Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus de Vairão, 4485-661, Vairão, Portugal
| | - José V López-Bao
- Research Unit of Biodiversity (UO/CSIC/PA), University of Oviedo, 33600, Mieres, Spain
| | - Wessel van der Loo
- CIBIO/InBio - Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus de Vairão, 4485-661, Vairão, Portugal
| | - Luis Llaneza
- A.RE.NA, S.L. Asesores en Recursos Naturales S.L., 27003, Lugo, Spain
| | - Francisco Alvares
- CIBIO/InBio - Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus de Vairão, 4485-661, Vairão, Portugal
| | - Pedro J Esteves
- CIBIO/InBio - Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus de Vairão, 4485-661, Vairão, Portugal.,Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4169-007, Porto, Portugal
| | - Raquel Godinho
- CIBIO/InBio - Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus de Vairão, 4485-661, Vairão, Portugal. .,Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4169-007, Porto, Portugal.
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18
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Smeds L, Kojola I, Ellegren H. The evolutionary history of grey wolf Y chromosomes. Mol Ecol 2019; 28:2173-2191. [PMID: 30788868 PMCID: PMC6850511 DOI: 10.1111/mec.15054] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2018] [Revised: 02/11/2019] [Accepted: 02/13/2019] [Indexed: 12/30/2022]
Abstract
Analyses of Y chromosome haplotypes uniquely provide a paternal picture of evolutionary histories and offer a very useful contrast to studies based on maternally inherited mitochondrial DNA (mtDNA). Here we used a bioinformatic approach based on comparison of male and female sequence coverage to identify 4.7 Mb from the grey wolf (Canis lupis) Y chromosome, probably representing most of the male-specific, nonampliconic sequence from the euchromatic part of the chromosome. We characterized this sequence and then identified ≈1,500 Y-linked single nucleotide polymorphisms in a sample of 145 resequenced male wolves, including 75 Finnish wolf genomes newly sequenced in this study, and in 24 dogs and eight other canids. We found 53 Y chromosome haplotypes, of which 26 were seen in grey wolves, that clustered in four major haplogroups. All four haplogroups were represented in samples of Finnish wolves, showing that haplogroup lineages were not partitioned on a continental scale. However, regional population structure was indicated because individual haplotypes were never shared between geographically distant areas, and genetically similar haplotypes were only found within the same geographical region. The deepest split between grey wolf haplogroups was estimated to have occurred 125,000 years ago, which is considerably older than recent estimates of the time of divergence of wolf populations. The distribution of dogs in a phylogenetic tree of Y chromosome haplotypes supports multiple domestication events, or wolf paternal introgression, starting 29,000 years ago. We also addressed the disputed origin of a recently founded population of Scandinavian wolves and observed that founding as well as most recent immigrant haplotypes were present in the neighbouring Finnish population, but not in sequenced wolves from elsewhere in the world, or in dogs.
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Affiliation(s)
- Linnéa Smeds
- Department of Evolutionary Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Ilpo Kojola
- Natural Resources Institute Finland (Luke), Rovaniemi, Finland
| | - Hans Ellegren
- Department of Evolutionary Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
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19
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Cryptic population structure reveals low dispersal in Iberian wolves. Sci Rep 2018; 8:14108. [PMID: 30237419 PMCID: PMC6147861 DOI: 10.1038/s41598-018-32369-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Accepted: 09/04/2018] [Indexed: 01/07/2023] Open
Abstract
Highly mobile mammalian carnivores are expected to have the capability to maintain high levels of gene flow across large geographic scales. Nonetheless, surprising levels of genetic structure have been found in many such populations. We combined genetic and spatial behavioural information from wolves (Canis lupus) in the Iberian Peninsula (Western Europe) during the last two decades to present a particular case of low dispersal levels in a large carnivore population persisting in human-dominated landscapes. We found an exceptionally reticulated pattern of cryptic population structure emerging at two hierarchical levels, in which four or eleven meaningful genetic clusters can be recognized, respectively. These clusters were characterized by moderate-high levels of differentiation (average pairwise FST = 0.09–0.19), low levels of admixture and varying degrees of genetic diversity. The number of dispersers identified among the 11 clusters was very low (<4% out of 218 wolves). Spatial information of tracked wolves further confirmed the geographical genetic patterns (only 2 out of 85 collared wolves overlapped with more than one genetic cluster). The high levels of genetic structure in this population may be determined by the recent demographic history of this population, among other factors. The identification of meaningful genetic clusters has implications for the delineation of conservation units and, consequently, on the conservation and management actions for Iberian wolves.
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20
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Gómez-Sánchez D, Olalde I, Sastre N, Enseñat C, Carrasco R, Marques-Bonet T, Lalueza-Fox C, Leonard JA, Vilà C, Ramírez O. On the path to extinction: Inbreeding and admixture in a declining grey wolf population. Mol Ecol 2018; 27:3599-3612. [DOI: 10.1111/mec.14824] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Revised: 07/13/2018] [Accepted: 07/16/2018] [Indexed: 01/06/2023]
Affiliation(s)
- Daniel Gómez-Sánchez
- Ciencies Experimetals i de la Salut; Institut de Biologia Evolutiva (Universitat Pompeu Fabra - CSIC); Barcelona Spain
| | - Iñigo Olalde
- Ciencies Experimetals i de la Salut; Institut de Biologia Evolutiva (Universitat Pompeu Fabra - CSIC); Barcelona Spain
| | - Natalia Sastre
- Departament de Ciència Animal i dels Aliments; Facultat de Veterinària, Servei Veterinari de Genètica Molecular; Universitat Autònoma de Barcelona; Bellaterra Spain
- Department of Ecology and Evolutionary Biology; UCLA; Los Angeles California
| | | | - Rafael Carrasco
- Departamento de Biologia Animal, Biologia Vegetal y Ecología; Universidad de Jaén (UJA); Jaen Spain
| | - Tomas Marques-Bonet
- Ciencies Experimetals i de la Salut; Institut de Biologia Evolutiva (Universitat Pompeu Fabra - CSIC); Barcelona Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA); Barcelona Spain
- Centro Nacional de Análisis Genómico (CNAG); Barcelona Spain
| | - Carles Lalueza-Fox
- Ciencies Experimetals i de la Salut; Institut de Biologia Evolutiva (Universitat Pompeu Fabra - CSIC); Barcelona Spain
| | - Jennifer A. Leonard
- Conservation and Evolutionary Genetics Group; Estación Biológica de Doñana (EBD-CSIC); Seville Spain
| | - Carles Vilà
- Conservation and Evolutionary Genetics Group; Estación Biológica de Doñana (EBD-CSIC); Seville Spain
| | - Oscar Ramírez
- Ciencies Experimetals i de la Salut; Institut de Biologia Evolutiva (Universitat Pompeu Fabra - CSIC); Barcelona Spain
- Vetgenomics S.L.; Bellaterra Spain
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21
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Steinbach P, Heddergott M, Weigand H, Weigand AM, Wilwert E, Stubbe M, Helm B, Campbell RE, Stubbe A, Frantz AC. Rare migrants suffice to maintain high genetic diversity in an introduced island population of roe deer (Capreolus capreolus): Evidence from molecular data and simulations. Mamm Biol 2018. [DOI: 10.1016/j.mambio.2017.11.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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22
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Mikle N, Graves TA, Kovach R, Kendall KC, Macleod AC. Demographic mechanisms underpinning genetic assimilation of remnant groups of a large carnivore. Proc Biol Sci 2017; 283:rspb.2016.1467. [PMID: 27655768 DOI: 10.1098/rspb.2016.1467] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Accepted: 08/19/2016] [Indexed: 11/12/2022] Open
Abstract
Current range expansions of large terrestrial carnivores are occurring following human-induced range contraction. Contractions are often incomplete, leaving small remnant groups in refugia throughout the former range. Little is known about the underlying ecological and evolutionary processes that influence how remnant groups are affected during range expansion. We used data from a spatially explicit, long-term genetic sampling effort of grizzly bears (Ursus arctos) in the Northern Continental Divide Ecosystem (NCDE), USA, to identify the demographic processes underlying spatial and temporal patterns of genetic diversity. We conducted parentage analysis to evaluate how reproductive success and dispersal contribute to spatio-temporal patterns of genetic diversity in remnant groups of grizzly bears existing in the southwestern (SW), southeastern (SE) and east-central (EC) regions of the NCDE. A few reproductively dominant individuals and local inbreeding caused low genetic diversity in peripheral regions that may have persisted for multiple generations before eroding rapidly (approx. one generation) during population expansion. Our results highlight that individual-level genetic and reproductive dynamics play critical roles during genetic assimilation, and show that spatial patterns of genetic diversity on the leading edge of an expansion may result from historical demographic patterns that are highly ephemeral.
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Affiliation(s)
- Nate Mikle
- Northern Rocky Mountain Science Center, US Geological Survey, 38 Mather Drive, PO Box 169, West Glacier, MT 59936, USA
| | - Tabitha A Graves
- Northern Rocky Mountain Science Center, US Geological Survey, 38 Mather Drive, PO Box 169, West Glacier, MT 59936, USA
| | - Ryan Kovach
- Northern Rocky Mountain Science Center, US Geological Survey, 38 Mather Drive, PO Box 169, West Glacier, MT 59936, USA
| | - Katherine C Kendall
- Northern Rocky Mountain Science Center, US Geological Survey, 38 Mather Drive, PO Box 169, West Glacier, MT 59936, USA
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23
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Frantz AC, Zachos FE, Bertouille S, Eloy MC, Colyn M, Flamand MC. Using genetic tools to estimate the prevalence of non-native red deer ( Cervus elaphus) in a Western European population. Ecol Evol 2017; 7:7650-7660. [PMID: 29043022 PMCID: PMC5632609 DOI: 10.1002/ece3.3282] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 05/30/2017] [Accepted: 06/28/2017] [Indexed: 01/17/2023] Open
Abstract
Game species like the red deer have been subjected to anthropogenic impacts for centuries. Translocations are often carried out—sometimes illegally—not only for sporting purposes, but also to increase trophy quality, reduce inbreeding, or mitigate bottlenecks after excessive persecution. Apart from the blurring of large‐scale genetic structure, translocations without adequate quarantine measure risk introducing pathogens into potentially immunologically naïve populations. It is therefore important to understand the frequency of clandestine translocations. Identification of non‐autochthonous animals and their potential origin is often difficult and, in red deer, has been hampered by the lack of large‐scale genotypic datasets for comparison. In the present study, we make use of a recently published European‐wide microsatellite dataset to detect and quantify the presence of non‐autochthonous red deer in a large population sample (n = 1,780) from Central Europe (Belgium). Using factorial correspondence analysis, assignment tests and Bayesian clustering algorithms we arrive at an estimate of 3.7% non‐autochthonous animals (or their descendants). Some of these animals were assigned to a nearby French population and may have immigrated into Belgium naturally, but the large majority must have been introduced by humans. Our analysis pointed to the British Isles and Germany/Poland as the potential origin of many introduced deer, regions known to have been source populations for translocations in Europe and beyond. We found evidence for recreational hunters using carcasses from farmed deer to fulfill mandatory hunting quotas. Our study is the first to quantify the extent of human‐mediated introductions in a European game species at such a large scale with large and representative sample sizes.
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Affiliation(s)
- Alain C Frantz
- Musée National d'Histoire Naturelle Luxembourg Luxembourg.,Fondation faune-flore Luxembourg Luxembourg
| | | | - Sabine Bertouille
- Département de l'Etude du Milieu naturel et agricole Service Public de Wallonie Gembloux Belgium
| | - Marie-Christine Eloy
- Institut des Sciences de la Vie Université catholique de Louvain Louvain-la-Neuve Belgium
| | - Marc Colyn
- CNRS-UMR 6553 Université de Rennes 1 Paimpont France
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24
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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: 10.4] [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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Kojola I, Holmala K, Huhta E, Oksanen A, Kokko S. Prevalence of
Trichinella
infection in three sympatric large carnivores: effects of the host's sex and age. J Zool (1987) 2016. [DOI: 10.1111/jzo.12394] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- I. Kojola
- Natural Resources Institute Finland (Luke) Rovaniemi Finland
| | - K. Holmala
- Natural Resources Institute Finland (Luke) Vantaa Finland
| | - E. Huhta
- Natural Resources Institute Finland (Luke) Rovaniemi Finland
| | - A. Oksanen
- Finnish Food Safe Authority Evira (FINPAR) Oulu Finland
| | - S. Kokko
- Natural Resources Institute Finland (Luke) University of Oulu Oulu Finland
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26
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Stansbury CR, Ausband DE, Zager P, Mack CM, Waits LP. Identifying gray wolf packs and dispersers using noninvasive genetic samples. J Wildl Manage 2016. [DOI: 10.1002/jwmg.21136] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Carisa R. Stansbury
- University of Idaho; Department of Fish and Wildlife Sciences; P.O. Box 441136 Moscow ID 83844 USA
| | - David E. Ausband
- Montana Cooperative Wildlife Research Unit; University of Montana; 205 Natural Sciences Building Missoula MT 59812 USA
| | - Peter Zager
- Idaho Department of Fish and Game; 3316 16th St. Lewiston ID 83501 USA
| | - Curt M. Mack
- Nez Perce Tribe; Gray Wolf Recovery Project; P.O. Box 1922 McCall ID 83638 USA
| | - Lisette P. Waits
- University of Idaho; Department of Fish and Wildlife Sciences; P.O. Box 441136 Moscow ID 83844 USA
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27
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Barros T, Ferreira E, Rocha RG, Gaubert P, Bandeira V, Souto L, Mira A, Fonseca C. Genetic signature of the northward expansion of the Egyptian mongoose Herpestes ichneumon(Herpestidae) in the Iberian Peninsula. Biol J Linn Soc Lond 2016. [DOI: 10.1111/bij.12743] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Tânia Barros
- Departamento de Biologia & Centros de Estudos do Ambiente e do Mar (CESAM); Universidade de Aveiro; 3810-193 Aveiro Portugal
| | - Eduardo Ferreira
- Departamento de Biologia & Centros de Estudos do Ambiente e do Mar (CESAM); Universidade de Aveiro; 3810-193 Aveiro Portugal
| | - Rita Gomes Rocha
- Departamento de Biologia & Centros de Estudos do Ambiente e do Mar (CESAM); Universidade de Aveiro; 3810-193 Aveiro Portugal
- Departamento de Ciências Biológicas; Centro de Ciências Humanas e Naturais; Universidade Federal do Espírito Santo; Av. Fernando Ferrari 514, Goiabeiras 29075-910 Vitória ES Brazil
| | - Philippe Gaubert
- Institut des Sciences de l'Evolution de Montpellier (ISEM), UM-CNRS-IRD-CIRAD-EPHE; Université de Montpellier; Place Eugène Bataillon - CC 64; 34095 Montpellier, Cedex 05 France
| | - Victor Bandeira
- Departamento de Biologia & Centros de Estudos do Ambiente e do Mar (CESAM); Universidade de Aveiro; 3810-193 Aveiro Portugal
| | - Luis Souto
- Departamento de Biologia & Centros de Estudos do Ambiente e do Mar (CESAM); Universidade de Aveiro; 3810-193 Aveiro Portugal
| | - António Mira
- Unidade de Biologia da Conservação; Universidade de Évora; 7002-554 Évora Portugal
| | - Carlos Fonseca
- Departamento de Biologia & Centros de Estudos do Ambiente e do Mar (CESAM); Universidade de Aveiro; 3810-193 Aveiro Portugal
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28
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Mykrä S, Pohja-Mykrä M. Back-Calculation of Large Carnivore Populations in Finland in 1865–1915. ANN ZOOL FENN 2015. [DOI: 10.5735/086.052.0504] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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29
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de Groot GA, Nowak C, Skrbinšek T, Andersen LW, Aspi J, Fumagalli L, Godinho R, Harms V, Jansman HA, Liberg O, Marucco F, Mysłajek RW, Nowak S, Pilot M, Randi E, Reinhardt I, Śmietana W, Szewczyk M, Taberlet P, Vilà C, Muñoz-Fuentes V. Decades of population genetic research reveal the need for harmonization of molecular markers: the grey wolf C
anis lupus
as a case study. Mamm Rev 2015. [DOI: 10.1111/mam.12052] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- G. Arjen de Groot
- Animal Ecology; Alterra, Wageningen UR; P.O. Box 47 6700 AA Wageningen The Netherlands
| | - Carsten Nowak
- Conservation Genetics Group; Senckenberg Research Institute and Natural History Museum Frankfurt; Clamecystrasse 12 63571 Gelnhausen Germany
| | - Tomaž Skrbinšek
- Department of Biology; Biotechnical Faculty; University of Ljubljana; Večna pot 111 Ljubljana 1000 Slovenia
| | | | - Jouni Aspi
- Department of Biology, Genetics and Physiology; University of Oulu; P.O. Box 3000 90014 Oulu Finland
| | - Luca Fumagalli
- Department of Ecology and Evolution; Laboratory for Conservation Biology; Biophore Building; University of Lausanne; 1015 Lausanne Switzerland
| | - Raquel Godinho
- Research Center in Biodiversity and Genetic Resources; CIBIO/InBio; Campus Agrário de Vairão 4485-661 Vairão Portugal
- Department of Biology; Faculty of Sciences; University of Porto; Rua do Campo Alegre s/n 4169-007 Porto Portugal
- Department of Zoology; Faculty of Sciences; University of Johannesburg; Auckland Park 2006 Johannesburg South Africa
| | - Verena Harms
- Conservation Genetics Group; Senckenberg Research Institute and Natural History Museum Frankfurt; Clamecystrasse 12 63571 Gelnhausen Germany
| | - Hugh A.H. Jansman
- Animal Ecology; Alterra, Wageningen UR; P.O. Box 47 6700 AA Wageningen The Netherlands
| | - Olof Liberg
- Swedish University of Agricultural Sciences (SLU); Grimsö Wildlife Research Station SE-730 91 Riddarhyttan Sweden
| | - Francesca Marucco
- Parco Naturale Alpi Marittime; Centro Gestione e Conservazione Grandi Carnivori; Piazza Regina Elena 30 12010 Valdieri Italy
| | - 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
| | - Małgorzata Pilot
- School of Life Sciences; University of Lincoln; Green Lane Lincoln LN6 7DL UK
| | - Ettore Randi
- Laboratorio di Genetica; Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA); Via Cà Fornacetta 9 40064 Ozzano dell'Emilia (BO) Italy
- Aalborg University; Department 18/Section of Environmental Engineering; Sohngårdsholmsvej 57 9000 Aalborg Denmark
| | - Ilka Reinhardt
- LUPUS - German Institute for Wolf Monitoring and Research; Dorfstraße 20 02979 Spreewitz Germany
| | - Wojciech Śmietana
- Polish Academy of Sciences; Institute of Nature Conservation; Mickiewicza 33 31-120 Kraków Poland
| | - Maciej Szewczyk
- Institute of Genetics and Biotechnology; Faculty of Biology; University of Warsaw; Pawińskiego 5a 02-106 Warszawa Poland
| | - Pierre Taberlet
- Centre National de la Recherche Scientifique; Laboratoire d'Ecologie Alpine (LECA); F-38000 Grenoble France
- Université Grenoble Alpes; Laboratoire d'Ecologie Alpine (LECA); F-38000 Grenoble France
| | - Carles Vilà
- Doñana Biological Station (EBD-CSIC); Avenida Americo Vespucio s/n 41092 Sevilla Spain
| | - Violeta Muñoz-Fuentes
- Conservation Genetics Group; Senckenberg Research Institute and Natural History Museum Frankfurt; Clamecystrasse 12 63571 Gelnhausen Germany
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30
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Guerrero J, Gallo-Reynoso JP, Biek R. Mitochondrial DNA diversity, genetic structure, and demographic history of the Neotropical otter (Lontra longicaudis) in Mexico. J Mammal 2015. [DOI: 10.1093/jmammal/gyv124] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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31
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Shirk AJ, Cushman SA. Spatially-explicit estimation of Wright's neighborhood size in continuous populations. Front Ecol Evol 2014. [DOI: 10.3389/fevo.2014.00062] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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32
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Kojola I, Helle P, Heikkinen S, Lindén H, Paasivaara A, Wikman M. Tracks in snow and population size estimation: the wolfCanis lupusin Finland. WILDLIFE BIOLOGY 2014. [DOI: 10.2981/wlb.00042] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
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33
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Xue HL, Xu JH, Chen L, Xu LX. Genetic variation of the striped hamster (Cricetulus barabensis) and the impact of population density and environmental factors. Zool Stud 2014. [DOI: 10.1186/s40555-014-0063-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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34
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Influence of ecological and geological features on rangewide patterns of genetic structure in a widespread passerine. Heredity (Edinb) 2014; 114:143-54. [PMID: 25074576 DOI: 10.1038/hdy.2014.64] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2013] [Revised: 05/29/2014] [Accepted: 06/03/2014] [Indexed: 01/22/2023] Open
Abstract
Geological and ecological features restrict dispersal and gene flow, leading to isolated populations. Dispersal barriers can be obvious physical structures in the landscape; however microgeographic differences can also lead to genetic isolation. Our study examined dispersal barriers at both macro- and micro-geographical scales in the black-capped chickadee, a resident North American songbird. Although birds have high dispersal potential, evidence suggests dispersal is restricted by barriers. The chickadee's range encompasses a number of physiological features which may impede movement and lead to divergence. Analyses of 913 individuals from 34 sampling sites across the entire range using 11 microsatellite loci revealed as many as 13 genetic clusters. Populations in the east were largely panmictic whereas populations in the western portion of the range showed significant genetic structure, which often coincided with large mountain ranges, such as the Cascade and Rocky Mountains, as well as areas of unsuitable habitat. Unlike populations in the central and southern Rockies, populations on either side of the northern Rockies were not genetically distinct. Furthermore, Northeast Oregon represents a forested island within the Great Basin; genetically isolated from all other populations. Substructuring at the microgeographical scale was also evident within the Fraser Plateau of central British Columbia, and in the southeast Rockies where no obvious physical barriers are present, suggesting additional factors may be impeding dispersal and gene flow. Dispersal barriers are therefore not restricted to large physical structures, although mountain ranges and large water bodies do play a large role in structuring populations in this study.
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35
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Alam M, Han KI, Lee DH, Ha JH, Kim JJ. Estimation of Effective Population Size in the Sapsaree: A Korean Native Dog (Canis familiaris). ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2014; 25:1063-72. [PMID: 25049664 PMCID: PMC4093000 DOI: 10.5713/ajas.2012.12048] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2012] [Revised: 04/16/2012] [Accepted: 04/09/2012] [Indexed: 11/27/2022]
Abstract
Effective population size (Ne) is an important measure to understand population structure and genetic variability in animal species. The objective of this study was to estimate Ne in Sapsaree dogs using the information of rate of inbreeding and genomic data that were obtained from pedigree and the Illumina CanineSNP20 (20K) and CanineHD (170K) beadchips, respectively. Three SNP panels, i.e. Sap134 (20K), Sap60 (170K), and Sap183 (the combined panel from the 20K and 170K), were used to genotype 134, 60, and 183 animal samples, respectively. The Ne estimates based on inbreeding rate ranged from 16 to 51 about five to 13 generations ago. With the use of SNP genotypes, two methods were applied for Ne estimation, i.e. pair-wise r2 values using a simple expectation of distance and r2 values under a non-linear regression with respective distances assuming a finite population size. The average pair-wise Ne estimates across generations using the pairs of SNPs that were located within 5 Mb in the Sap134, Sap60, and Sap183 panels, were 1,486, 1,025 and 1,293, respectively. Under the non-linear regression method, the average Ne estimates were 1,601, 528, and 1,129 for the respective panels. Also, the point estimates of past Ne at 5, 20, and 50 generations ago ranged between 64 to 75, 245 to 286, and 573 to 646, respectively, indicating a significant Ne reduction in the last several generations. These results suggest a strong necessity for minimizing inbreeding through the application of genomic selection or other breeding strategies to increase Ne, so as to maintain genetic variation and to avoid future bottlenecks in the Sapsaree population.
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Affiliation(s)
- M Alam
- Sapsaree Breeding Research Institute, Hayang, Gyeongsan, Gyeongbuk, Korea
| | - K I Han
- Sapsaree Breeding Research Institute, Hayang, Gyeongsan, Gyeongbuk, Korea
| | - D H Lee
- The Korean Sapsaree Foundation, Kyungpook National University, Taegu, Korea
| | - J H Ha
- Department of Biotechnology, Kyungpook National University, Taegu, Korea
| | - J J Kim
- Sapsaree Breeding Research Institute, Hayang, Gyeongsan, Gyeongbuk, Korea
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36
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Valtonen M, Palo JU, Aspi J, Ruokonen M, Kunnasranta M, Nyman T. Causes and consequences of fine-scale population structure in a critically endangered freshwater seal. BMC Ecol 2014; 14:22. [PMID: 25005257 PMCID: PMC4106222 DOI: 10.1186/1472-6785-14-22] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Accepted: 07/03/2014] [Indexed: 11/10/2022] Open
Abstract
Background Small, genetically uniform populations may face an elevated risk of extinction due to reduced environmental adaptability and individual fitness. Fragmentation can intensify these genetic adversities and, therefore, dispersal and gene flow among subpopulations within an isolated population is often essential for maintaining its viability. Using microsatellite and mtDNA data, we examined genetic diversity, spatial differentiation, interregional gene flow, and effective population sizes in the critically endangered Saimaa ringed seal (Phoca hispida saimensis), which is endemic to the large but highly fragmented Lake Saimaa in southeastern Finland. Results Microsatellite diversity within the subspecies (HE = 0.36) ranks among the lowest thus far recorded within the order Pinnipedia, with signs of ongoing loss of individual heterozygosity, reflecting very low effective subpopulation sizes. Bayesian assignment analyses of the microsatellite data revealed clear genetic differentiation among the main breeding areas, but interregional structuring was substantially weaker in biparentally inherited microsatellites (FST = 0.107) than in maternally inherited mtDNA (FST = 0.444), indicating a sevenfold difference in the gene flow mediated by males versus females. Conclusions Genetic structuring in the population appears to arise from the joint effects of multiple factors, including small effective subpopulation sizes, a fragmented lacustrine habitat, and behavioural dispersal limitation. The fine-scale differentiation found in the landlocked Saimaa ringed seal is especially surprising when contrasted with marine ringed seals, which often exhibit near-panmixia among subpopulations separated by hundreds or even thousands of kilometres. Our results demonstrate that population structures of endangered animals cannot be predicted based on data on even closely related species or subspecies.
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Affiliation(s)
- Mia Valtonen
- Department of Biology, University of Eastern Finland, Joensuu, Finland.
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37
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Jansson E, Harmoinen J, Ruokonen M, Aspi J. Living on the edge: reconstructing the genetic history of the Finnish wolf population. BMC Evol Biol 2014; 14:64. [PMID: 24678616 PMCID: PMC4033686 DOI: 10.1186/1471-2148-14-64] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2014] [Accepted: 03/05/2014] [Indexed: 11/19/2022] Open
Abstract
Background Many western European carnivore populations became almost or completely eradicated during the last ~200 years, but are now recovering. Extirpation of wolves started in Finland in the 19th century, and for more than 150 years the population size of wolves has remained small. To investigate historical patterns of genetic variation, we extracted DNA from 114 wolf samples collected in zoological museums over the last ~150 years. Fifteen microsatellite loci were used to look at genotypic variation in this historical sample. Additionally, we amplified a 430 bp sequence of mtDNA control region from the same samples. Contemporary wolf samples (N = 298) obtained after the population recovery in the mid-1990s, were used as a reference. Results Our analyses of mtDNA revealed reduced variation in the mtDNA control region through the loss of historical haplotypes observed prior to wolf declines. Heterozygosity at autosomal microsatellite loci did not decrease significantly. However, almost 20% of microsatellite alleles were unique to wolves collected before the 1960s. The genetic composition of the population changed gradually with the largest changes occurring prior to 1920. Half of the oldest historical samples formed a distinguishable genetic cluster not detected in the modern-day Finnish or Russian samples, and might therefore represent northern genetic variation lost from today’s gene pool. Point estimates of Ne were small (13.2 and 20.5) suggesting population fragmentation. Evidence of a genetic population bottleneck was also detected. Conclusions Our genetic analyses confirm changes in the genetic composition of the Finnish wolf population through time, despite the geographic interconnectivity to a much larger population in Russia. Our results emphasize the need for restoration of the historical connectivity between the present wolf populations to secure long-term viability. This might be challenging, however, because the management policies between Western and Eastern Europe often differ greatly. Additionally, wolf conservation is still a rather controversial issue, and anthropogenic pressure towards wolves remains strong.
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Affiliation(s)
| | | | | | - Jouni Aspi
- Department of Biology, University of Oulu, P,O, Box 3000, FIN-90014 Oulu, Finland.
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38
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Niskanen AK, Kennedy LJ, Ruokonen M, Kojola I, Lohi H, Isomursu M, Jansson E, Pyhäjärvi T, Aspi J. Balancing selection and heterozygote advantage in major histocompatibility complex loci of the bottlenecked Finnish wolf population. Mol Ecol 2014; 23:875-89. [DOI: 10.1111/mec.12647] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2013] [Revised: 12/19/2013] [Accepted: 12/20/2013] [Indexed: 02/03/2023]
Affiliation(s)
- A. K. Niskanen
- Department of Biology; University of Oulu; PO Box 3000 FI-90014 Oulu Finland
| | - L. J. Kennedy
- Centre for Integrated Genomic Medical Research; University of Manchester; Stopford Building Oxford Road Manchester M13 9PT UK
| | - M. Ruokonen
- Department of Biology; University of Oulu; PO Box 3000 FI-90014 Oulu Finland
| | - I. Kojola
- Finnish Game and Fisheries Research Institute; Paavo Havaksen tie 3 PO Box 413 FI-90014 Oulu Finland
| | - H. Lohi
- Department of Veterinary Biosciences; Research Programs Unit; Molecular Neurology; Folkhälsan Institute of Genetics; Biomedicum Helsinki; University of Helsinki; PO Box 63 FI-00014 Helsinki Finland
| | - M. Isomursu
- Fish and Wildlife Health Research Unit; Finnish Food Safety Authority Evira; PO Box 517 FI-90101 Oulu Finland
| | - E. Jansson
- Department of Biology; University of Oulu; PO Box 3000 FI-90014 Oulu Finland
| | - T. Pyhäjärvi
- Department of Biology; University of Oulu; PO Box 3000 FI-90014 Oulu Finland
| | - J. Aspi
- Department of Biology; University of Oulu; PO Box 3000 FI-90014 Oulu Finland
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39
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Randi E, Hulva P, Fabbri E, Galaverni M, Galov A, Kusak J, Bigi D, Bolfíková BČ, Smetanová M, Caniglia R. Multilocus detection of wolf x dog hybridization in italy, and guidelines for marker selection. PLoS One 2014; 9:e86409. [PMID: 24466077 PMCID: PMC3899229 DOI: 10.1371/journal.pone.0086409] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2013] [Accepted: 12/13/2013] [Indexed: 12/31/2022] Open
Abstract
Hybridization and introgression can impact the evolution of natural populations. Several wild canid species hybridize in nature, sometimes originating new taxa. However, hybridization with free-ranging dogs is threatening the genetic integrity of grey wolf populations (Canis lupus), or even the survival of endangered species (e.g., the Ethiopian wolf C. simensis). Efficient molecular tools to assess hybridization rates are essential in wolf conservation strategies. We evaluated the power of biparental and uniparental markers (39 autosomal and 4 Y-linked microsatellites, a melanistic deletion at the β-defensin CBD103 gene, the hypervariable domain of the mtDNA control-region) to identify the multilocus admixture patterns in wolf x dog hybrids. We used empirical data from 2 hybrid groups with different histories: 30 presumptive natural hybrids from Italy and 73 Czechoslovakian wolfdogs of known hybrid origin, as well as simulated data. We assessed the efficiency of various marker combinations and reference samples in admixture analyses using 69 dogs of different breeds and 99 wolves from Italy, Balkans and Carpathian Mountains. Results confirmed the occurrence of hybrids in Italy, some of them showing anomalous phenotypic traits and exogenous mtDNA or Y-chromosome introgression. Hybridization was mostly attributable to village dogs and not strictly patrilineal. The melanistic β-defensin deletion was found only in Italian dogs and in putative hybrids. The 24 most divergent microsatellites (largest wolf-dog FST values) were equally or more informative than the entire panel of 39 loci. A smaller panel of 12 microsatellites increased risks to identify false admixed individuals. The frequency of F1 and F2 was lower than backcrosses or introgressed individuals, suggesting hybridization already occurred some generations in the past, during early phases of wolf expansion from their historical core areas. Empirical and simulated data indicated the identification of the past generation backcrosses is always uncertain, and a larger number of ancestry-informative markers is needed.
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Affiliation(s)
- Ettore Randi
- Laboratorio di Genetica, Istituto Superiore per la Protezione e Ricerca Ambientale, Ozzano Emilia, Bologna, Italy
- Department 18/Section of Environmental Engineering, Aalborg University, Aalborg, Denmark
| | - Pavel Hulva
- Department of Zoology, Charles University in Prague, Prague, Czech Republic
- Life Science Research Centre, University of Ostrava, Ostrava, Czech Republic
| | - Elena Fabbri
- Laboratorio di Genetica, Istituto Superiore per la Protezione e Ricerca Ambientale, Ozzano Emilia, Bologna, Italy
| | - Marco Galaverni
- Laboratorio di Genetica, Istituto Superiore per la Protezione e Ricerca Ambientale, Ozzano Emilia, Bologna, Italy
| | - Ana Galov
- Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Josip Kusak
- Department of Biology, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia
| | - Daniele Bigi
- Department of Agricultural and Food Science and Technology, University of Bologna, Bologna, Italy
| | | | - Milena Smetanová
- Faculty of Tropical AgriSciences, Czech University of Life Sciences, Prague, Czech Republic
| | - Romolo Caniglia
- Laboratorio di Genetica, Istituto Superiore per la Protezione e Ricerca Ambientale, Ozzano Emilia, Bologna, Italy
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Griesser M, Halvarsson P, Sahlman T, Ekman J. What are the strengths and limitations of direct and indirect assessment of dispersal? Insights from a long-term field study in a group-living bird species. Behav Ecol Sociobiol 2013. [DOI: 10.1007/s00265-013-1663-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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41
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Unregulated hunting and genetic recovery from a severe population decline: the cautionary case of Bulgarian wolves. CONSERV GENET 2013. [DOI: 10.1007/s10592-013-0547-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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42
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Hindrikson M, Remm J, Männil P, Ozolins J, Tammeleht E, Saarma U. Spatial genetic analyses reveal cryptic population structure and migration patterns in a continuously harvested grey wolf (Canis lupus) population in north-eastern Europe. PLoS One 2013; 8:e75765. [PMID: 24069446 PMCID: PMC3777892 DOI: 10.1371/journal.pone.0075765] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2013] [Accepted: 08/18/2013] [Indexed: 01/09/2023] Open
Abstract
Spatial genetics is a relatively new field in wildlife and conservation biology that is becoming an essential tool for unravelling the complexities of animal population processes, and for designing effective strategies for conservation and management. Conceptual and methodological developments in this field are therefore critical. Here we present two novel methodological approaches that further the analytical possibilities of STRUCTURE and DResD. Using these approaches we analyse structure and migrations in a grey wolf (Canislupus) population in north-eastern Europe. We genotyped 16 microsatellite loci in 166 individuals sampled from the wolf population in Estonia and Latvia that has been under strong and continuous hunting pressure for decades. Our analysis demonstrated that this relatively small wolf population is represented by four genetic groups. We also used a novel methodological approach that uses linear interpolation to statistically test the spatial separation of genetic groups. The new method, which is capable of using program STRUCTURE output, can be applied widely in population genetics to reveal both core areas and areas of low significance for genetic groups. We also used a recently developed spatially explicit individual-based method DResD, and applied it for the first time to microsatellite data, revealing a migration corridor and barriers, and several contact zones.
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Affiliation(s)
- Maris Hindrikson
- Department of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - Jaanus Remm
- Department of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - Peep Männil
- Estonian Environment Information Centre, Tartu, Estonia
| | - Janis Ozolins
- State Forest Research Institute “Silava,” Salaspils, Latvia
| | - Egle Tammeleht
- Department of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - Urmas Saarma
- Department of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
- * E-mail:
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Mondol S, Bruford MW, Ramakrishnan U. Demographic loss, genetic structure and the conservation implications for Indian tigers. Proc Biol Sci 2013; 280:20130496. [PMID: 23677341 PMCID: PMC3673047 DOI: 10.1098/rspb.2013.0496] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2013] [Accepted: 04/23/2013] [Indexed: 11/12/2022] Open
Abstract
India is home to approximately 60 per cent of the world's remaining wild tigers, a species that has declined in the last few centuries to occupy less than 7 per cent of its former geographical range. While Indian tiger numbers have somewhat stabilized in recent years, they remain low and populations are highly fragmented. Therefore, the application of evidence-based demographic and genetic management to enhance the remaining populations is a priority. In this context, and using genetic data from historical and modern tigers, we investigated anthropogenic impacts on genetic variation in Indian tigers using mitochondrial and nuclear genetic markers. We found a very high number of historical mitochondrial DNA variants, 93 per cent of which are not detected in modern populations. Population differentiation was higher in modern tigers. Simulations incorporating historical data support population decline, and suggest high population structure in extant populations. Decreased connectivity and habitat loss as a result of ongoing fragmentation in the Indian subcontinent has therefore resulted in a loss of genetic variants and increased genetic differentiation among tiger populations. These results highlight that anthropogenic fragmentation and species-specific demographic processes can interact to alter the partitioning of genetic variation over very short time scales. We conclude that ongoing strategies to maximize the size of some tiger populations, at the expense of losing others, is an inadequate conservation strategy, as it could result in a loss of genetic diversity that may be of adaptive significance for this emblematic species.
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Affiliation(s)
- Samrat Mondol
- National Centre for Biological Sciences, TIFR, GKVK Campus, Bellary Road, Bangalore 560065, India
| | | | - Uma Ramakrishnan
- National Centre for Biological Sciences, TIFR, GKVK Campus, Bellary Road, Bangalore 560065, India
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Quaglietta L, Fonseca VC, Hájková P, Mira A, Boitani L. Fine-scale population genetic structure and short-range sex-biased dispersal in a solitary carnivore,Lutra lutra. J Mammal 2013. [DOI: 10.1644/12-mamm-a-171.1] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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45
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Xu L, Xue H, Song M, Zhao Q, Dong J, Liu J, Guo Y, Xu T, Cao X, Wang F, Wang S, Hao S, Yang H, Zhang Z. Variation of genetic diversity in a rapidly expanding population of the greater long-tailed hamster (Tscherskia triton) as revealed by microsatellites. PLoS One 2013; 8:e54171. [PMID: 23349815 PMCID: PMC3547878 DOI: 10.1371/journal.pone.0054171] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2012] [Accepted: 12/07/2012] [Indexed: 11/19/2022] Open
Abstract
Genetic diversity is essential for persistence of animal populations over both the short- and long-term. Previous studies suggest that genetic diversity may decrease with population decline due to genetic drift or inbreeding of small populations. For oscillating populations, there are some studies on the relationship between population density and genetic diversity, but these studies were based on short-term observation or in low-density phases. Evidence from rapidly expanding populations is lacking. In this study, genetic diversity of a rapidly expanding population of the Greater long-tailed hamsters during 1984–1990, in the Raoyang County of the North China Plain was studied using DNA microsatellite markers. Results show that genetic diversity was positively correlated with population density (as measured by % trap success), and the increase in population density was correlated with a decrease of genetic differentiation between the sub-population A and B. The genetic diversity tended to be higher in spring than in autumn. Variation in population density and genetic diversity are consistent between sub-population A and B. Such results suggest that dispersal is density- and season-dependent in a rapidly expanding population of the Greater long-tailed hamster. For typically solitary species, increasing population density can increase intra-specific attack, which is a driving force for dispersal. This situation is counterbalanced by decreasing population density caused by genetic drift or inbreeding as the result of small population size. Season is a major factor influencing population density and genetic diversity. Meanwhile, roads, used to be considered as geographical isolation, have less effect on genetic differentiation in a rapidly expanding population. Evidences suggest that gene flow (Nm) is positively correlated with population density, and it is significant higher in spring than that in autumn.
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Affiliation(s)
- Laixiang Xu
- College of Life Sciences, Qufu Normal University, Qufu, Shandong, People's Republic of China.
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Cohen TM, Narkiss T, Dolev A, Ben-Ari Y, Kronfeld-Schor N, Guter A, Saltz D, Bar-Gal GK. Genetic diversity of the Eurasian Otter (Lutra lutra) population in Israel. J Hered 2012; 104:192-201. [PMID: 23225879 DOI: 10.1093/jhered/ess094] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The Israeli population of Eurasian otter (Lutra lutra) marks the Palearctic southern boundary of the species' distribution in the Levant. During the 20th century, the otter population in Israel experienced a dramatic decline due to anthropogenic habitat alterations. Currently, the otter population in Israel is estimated at about 100 individuals and defined as "Critically Endangered". The aim of this research was to characterize the Israeli otter population in order to determine its genetic diversity and fragmentation state for conservation purposes. Monitoring spraint sites during 2000-2011 along active and historic otter distribution regions indicate both stable and unstable otter subpopulations, mainly along the Jordan River. Four otter subpopulations, representing 57 individuals, were characterized by 12 microsatellites, previously used to characterize the European otter populations. The genetic results indicated three subpopulations correlating with three geographical regions: the Hula Valley, Sea of Galilee, and the Harod Valley. A moderate genetic diversity (F (st) = 0.087-0.123) was found among the subpopulations, suggesting sporadic interactions between individuals from distinct geographical locations along the Jordan Rift Valley. The Israeli otter population was found to be very small, demographically remote and genetically distinct, harboring unique alleles absent from the studied European populations. Therefore, immediate conservation actions are recommended to prevent the deterioration of the isolated, unique, and critically endangered otter population in Israel.
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Affiliation(s)
- Tali Magory Cohen
- Koret School of Veterinary Medicine, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 76100, Israel
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Hoehn M, Gruber B, Sarre SD, Lange R, Henle K. Can genetic estimators provide robust estimates of the effective number of breeders in small populations? PLoS One 2012; 7:e48464. [PMID: 23139784 PMCID: PMC3491051 DOI: 10.1371/journal.pone.0048464] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2012] [Accepted: 09/26/2012] [Indexed: 11/18/2022] Open
Abstract
The effective population size (N(e)) is proportional to the loss of genetic diversity and the rate of inbreeding, and its accurate estimation is crucial for the monitoring of small populations. Here, we integrate temporal studies of the gecko Oedura reticulata, to compare genetic and demographic estimators of N(e). Because geckos have overlapping generations, our goal was to demographically estimate N(bI), the inbreeding effective number of breeders and to calculate the N(bI)/N(a) ratio (N(a) =number of adults) for four populations. Demographically estimated N(bI) ranged from 1 to 65 individuals. The mean reduction in the effective number of breeders relative to census size (N(bI)/N(a)) was 0.1 to 1.1. We identified the variance in reproductive success as the most important variable contributing to reduction of this ratio. We used four methods to estimate the genetic based inbreeding effective number of breeders N(bI(gen)) and the variance effective populations size N(eV(gen)) estimates from the genotype data. Two of these methods - a temporal moment-based (MBT) and a likelihood-based approach (TM3) require at least two samples in time, while the other two were single-sample estimators - the linkage disequilibrium method with bias correction LDNe and the program ONeSAMP. The genetic based estimates were fairly similar across methods and also similar to the demographic estimates excluding those estimates, in which upper confidence interval boundaries were uninformative. For example, LDNe and ONeSAMP estimates ranged from 14-55 and 24-48 individuals, respectively. However, temporal methods suffered from a large variation in confidence intervals and concerns about the prior information. We conclude that the single-sample estimators are an acceptable short-cut to estimate N(bI) for species such as geckos and will be of great importance for the monitoring of species in fragmented landscapes.
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Affiliation(s)
- Marion Hoehn
- UFZ - Helmholtz Centre for Environmental Research, Department of Conservation Biology, Leipzig, Germany.
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MHC variability supports dog domestication from a large number of wolves: high diversity in Asia. Heredity (Edinb) 2012; 110:80-5. [PMID: 23073392 DOI: 10.1038/hdy.2012.67] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
The process of dog domestication is still somewhat unresolved. Earlier studies indicate that domestic dogs from all over the world have a common origin in Asia. So far, major histocompatibility complex (MHC) diversity has not been studied in detail in Asian dogs, although high levels of genetic diversity are expected at the domestication locality. We sequenced the second exon of the canine MHC gene DLA-DRB1 from 128 Asian dogs and compared our data with a previously published large data set of MHC alleles, mostly from European dogs. Our results show that Asian dogs have a higher MHC diversity than European dogs. We also estimated that there is only a small probability that new alleles have arisen by mutation since domestication. Based on the assumption that all of the currently known 102 DLA-DRB1 alleles come from the founding wolf population, we simulated the number of founding wolf individuals. Our simulations indicate an effective population size of at least 500 founding wolves, suggesting that the founding wolf population was large or that backcrossing has taken place.
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49
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Jansson E, Ruokonen M, Kojola I, Aspi J. Rise and fall of a wolf population: genetic diversity and structure during recovery, rapid expansion and drastic decline. Mol Ecol 2012; 21:5178-93. [DOI: 10.1111/mec.12010] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2011] [Revised: 08/02/2012] [Accepted: 08/03/2012] [Indexed: 11/29/2022]
Affiliation(s)
- E. Jansson
- Department of Biology; University of Oulu; PO Box 3000; Oulu; FIN-90014; Finland
| | - M. Ruokonen
- Department of Biology; University of Oulu; PO Box 3000; Oulu; FIN-90014; Finland
| | - I. Kojola
- Finnish Game and Fisheries Research Institute; Rakentajantie 3; PO Box 413; Oulu; FIN-90014; Finland
| | - J. Aspi
- Department of Biology; University of Oulu; PO Box 3000; Oulu; FIN-90014; Finland
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50
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Connectivity and population subdivision at the fringe of a large brown bear (Ursus arctos) population in North Western Europe. CONSERV GENET 2012. [DOI: 10.1007/s10592-012-0317-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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