51
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Visser J, Robinson T, Jansen van Vuuren B. Spatial genetic structure in the rock hyrax (Procavia capensis) across the Namaqualand and western Fynbos areas of South Africa — a mitochondrial and microsatellite perspective. CAN J ZOOL 2020. [DOI: 10.1139/cjz-2019-0154] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The interplay between biotic and abiotic environments is increasingly recognized as a major determinant of spatial genetic patterns. Among spatial genetic studies, saxicolous or rock-dwelling species remain underrepresented in spite of their strict dependence on landscape structure. Here we investigated patterns and processes operating at different spatial (fine and regional scales) and time scales (using mitochondrial and microsatellite markers) in the rock hyrax (Procavia capensis (Pallas, 1766)). Our focus was on the western seaboard of South Africa and included two recognized biodiversity hotspots (Cape Floristic Region and Succulent Karoo). At fine spatial scale, significant genetic structure was present between four rocky outcrops in an isolated population, likely driven by the social system of this species. At a broader spatial scale, ecological dependence on rocky habitat and population-level processes, in conjunction with landscape structure, appeared to be the main drivers of genetic diversity and structure. Large areas devoid of suitable rocky habitat (e.g., the Knersvlakte, Sandveld, and Cape Flats, South Africa) represent barriers to gene flow in the species, although genetic clusters closely follow climatic, geological, and phytogeographic regions, possibly indicating ecological specialization or adaptation as contributing factors enforcing isolation. Taken together, our study highlights the need to consider both intrinsic and extrinsic factors when investigating spatial genetic structures within species.
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Affiliation(s)
- J.H. Visser
- Department of Botany and Zoology, University of Stellenbosch, Private Bag XI, Matieland 7602, South Africa
| | - T.J. Robinson
- Department of Botany and Zoology, University of Stellenbosch, Private Bag XI, Matieland 7602, South Africa
| | - B. Jansen van Vuuren
- Centre for Ecological Genomics and Wildlife Conservation, Department of Zoology, University of Johannesburg, P.O. Box 524, Auckland Park 2000, South Africa
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52
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Sherpa S, Renaud J, Guéguen M, Besnard G, Mouyon L, Rey D, Després L. Landscape does matter: Disentangling founder effects from natural and human-aided post-introduction dispersal during an ongoing biological invasion. J Anim Ecol 2020; 89:2027-2042. [PMID: 32597498 DOI: 10.1111/1365-2656.13284] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 05/19/2020] [Indexed: 11/28/2022]
Abstract
Environmental features impacting the spread of invasive species after introduction can be assessed using population genetic structure as a quantitative estimation of effective dispersal at the landscape scale. However, in the case of an ongoing biological invasion, deciphering whether genetic structure represents landscape connectivity or founder effects is particularly challenging. We examined the modes of dispersal (natural and human-aided) and the factors (landscape or founders history) shaping genetic structure in range edge invasive populations of the Asian tiger mosquito, Aedes albopictus, in the region of Grenoble (Southeast France). Based on detailed occupancy-detection data and environmental variables (climatic, topographic and land-cover), we modelled A. albopictus potential suitable area and its expansion history since first introduction. The relative role of dispersal modes was estimated using biological dispersal capabilities and landscape genetics approaches using genome-wide SNP dataset. We demonstrate that both natural and human-aided dispersal have promoted the expansion of populations. Populations in diffuse urban areas, representing highly suitable habitat for A. albopictus, tend to disperse less, while roads facilitate long-distance dispersal. Yet, demographic bottlenecks during introduction played a major role in shaping the genetic variability of these range edge populations. The present study is one of the few investigating the role of founder effects and ongoing expansion processes in shaping spatial patterns of genetic variation in an invasive species at the landscape scale. The combination of several dispersal modes and large proportions of continuous suitable habitats for A. albopictus promoted range filling of almost its entire potential distribution in the region of Grenoble only few years after introduction.
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Affiliation(s)
- Stéphanie Sherpa
- Laboratoire d'Ecologie Alpine (LECA), Université Grenoble Alpes, CNRS, Grenoble, France
| | - Julien Renaud
- Laboratoire d'Ecologie Alpine (LECA), Université Grenoble Alpes, CNRS, Grenoble, France
| | - Maya Guéguen
- Laboratoire d'Ecologie Alpine (LECA), Université Grenoble Alpes, CNRS, Grenoble, France
| | - Gilles Besnard
- Entente Interdépartementale Rhône Alpes pour la Démoustication (EID), Chindrieux, France
| | - Loic Mouyon
- Entente Interdépartementale Rhône Alpes pour la Démoustication (EID), Chindrieux, France
| | - Delphine Rey
- Entente Interdépartementale Rhône Alpes pour la Démoustication (EID), Chindrieux, France
| | - Laurence Després
- Laboratoire d'Ecologie Alpine (LECA), Université Grenoble Alpes, CNRS, Grenoble, France
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53
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Winiarski KJ, Peterman WE, McGarigal K. Evaluation of the R package ‘
resistancega
’: A promising approach towards the accurate optimization of landscape resistance surfaces. Mol Ecol Resour 2020; 20:1583-1596. [DOI: 10.1111/1755-0998.13217] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Revised: 06/01/2020] [Accepted: 06/15/2020] [Indexed: 11/30/2022]
Affiliation(s)
- Kristopher Jonathan Winiarski
- Department of Environmental Conservation University of Massachusetts Amherst MA USA
- Northeast Climate Adaptation Science Center University of Massachusetts Amherst MA USA
| | - William E. Peterman
- School of Environment and Natural Resources Ohio State University Columbus OH USA
| | - Kevin McGarigal
- Department of Environmental Conservation University of Massachusetts Amherst MA USA
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54
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Van Buskirk J, Jansen van Rensburg A. Relative importance of isolation‐by‐environment and other determinants of gene flow in an alpine amphibian. Evolution 2020; 74:962-978. [DOI: 10.1111/evo.13955] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 02/26/2020] [Accepted: 03/09/2020] [Indexed: 02/07/2023]
Affiliation(s)
- Josh Van Buskirk
- Department of Evolutionary Biology and Environmental StudiesUniversity of Zurich Zurich 8057 Switzerland
| | - Alexandra Jansen van Rensburg
- Department of Evolutionary Biology and Environmental StudiesUniversity of Zurich Zurich 8057 Switzerland
- School of Biological SciencesUniversity of Bristol Bristol BS8 1TQ United Kingdom
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55
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Peeters B, Le Moullec M, Raeymaekers JAM, Marquez JF, Røed KH, Pedersen ÅØ, Veiberg V, Loe LE, Hansen BB. Sea ice loss increases genetic isolation in a high Arctic ungulate metapopulation. GLOBAL CHANGE BIOLOGY 2020; 26:2028-2041. [PMID: 31849126 DOI: 10.1111/gcb.14965] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 10/15/2019] [Accepted: 11/21/2019] [Indexed: 06/10/2023]
Abstract
Sea ice loss may have dramatic consequences for population connectivity, extinction-colonization dynamics, and even the persistence of Arctic species subject to climate change. This is of particular concern in face of additional anthropogenic stressors, such as overexploitation. In this study, we assess the population-genetic implications of diminishing sea ice cover in the endemic, high Arctic Svalbard reindeer (Rangifer tarandus platyrhynchus) by analyzing the interactive effects of landscape barriers and reintroductions (following harvest-induced extirpations) on their metapopulation genetic structure. We genotyped 411 wild reindeer from 25 sampling sites throughout the entire subspecies' range at 19 microsatellite loci. Bayesian clustering analysis showed a genetic structure composed of eight populations, of which two were admixed. Overall population genetic differentiation was high (mean FST = 0.21). Genetic diversity was low (allelic richness [AR] = 2.07-2.58; observed heterozygosity = 0.23-0.43) and declined toward the outer distribution range, where populations showed significant levels of inbreeding. Coalescent estimates of effective population sizes and migration rates revealed strong evolutionary source-sink dynamics with the central population as the main source. The population genetic structure was best explained by a landscape genetics model combining strong isolation by glaciers and open water, and high connectivity by dispersal across winter sea ice. However, the observed patterns of natural isolation were strongly modified by the signature of past harvest-induced extirpations, subsequent reintroductions, and recent lack of sea ice. These results suggest that past and current anthropogenic drivers of metapopulation dynamics may have interactive effects on large-scale ecological and evolutionary processes. Continued loss of sea ice as a dispersal corridor within and between island systems is expected to increase the genetic isolation of populations, and thus threaten the evolutionary potential and persistence of Arctic wildlife.
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Affiliation(s)
- Bart Peeters
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Mathilde Le Moullec
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | | | - Jonatan F Marquez
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Knut H Røed
- Department of Basic Sciences and Aquatic Medicine, Norwegian University of Life Sciences, Oslo, Norway
| | | | | | - Leif Egil Loe
- Department of Ecology and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
| | - Brage B Hansen
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
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56
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Cortinovis G, Frascarelli G, Di Vittori V, Papa R. Current State and Perspectives in Population Genomics of the Common Bean. PLANTS (BASEL, SWITZERLAND) 2020; 9:E330. [PMID: 32150958 PMCID: PMC7154925 DOI: 10.3390/plants9030330] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 02/27/2020] [Accepted: 03/03/2020] [Indexed: 11/17/2022]
Abstract
* Correspondence: r [...].
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Affiliation(s)
| | | | | | - Roberto Papa
- Dipartimento di Scienze Agrarie, Alimentari ed Ambientali (D3A), Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy; (G.C.); (G.F.); (V.D.V.)
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57
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Knowledge status and sampling strategies to maximize cost-benefit ratio of studies in landscape genomics of wild plants. Sci Rep 2020; 10:3706. [PMID: 32111897 PMCID: PMC7048820 DOI: 10.1038/s41598-020-60788-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 02/11/2020] [Indexed: 11/27/2022] Open
Abstract
To avoid local extinction due to the changes in their natural ecosystems, introduced by anthropogenic activities, species undergo local adaptation. Landscape genomics approach, through genome–environment association studies, has helped evaluate the local adaptation in natural populations. Landscape genomics, is still a developing discipline, requiring refinement of guidelines in sampling design, especially for studies conducted in the backdrop of stark socioeconomic realities of the rainforest ecologies, which are global biodiversity hotspots. In this study we aimed to devise strategies to improve the cost-benefit ratio of landscape genomics studies by surveying sampling designs and genome sequencing strategies used in existing studies. We conducted meta-analyses to evaluate the importance of sampling designs, in terms of (i) number of populations sampled, (ii) number of individuals sampled per population, (iii) total number of individuals sampled, and (iv) number of SNPs used in different studies, in discerning the molecular mechanisms underlying local adaptation of wild plant species. Using the linear mixed effects model, we demonstrated that the total number of individuals sampled and the number of SNPs used, significantly influenced the detection of loci underlying the local adaptation. Thus, based on our findings, in order to optimize the cost-benefit ratio of landscape genomics studies, we suggest focusing on increasing the total number of individuals sampled and using a targeted (e.g. sequencing capture) Pool-Seq approach and/or a random (e.g. RAD-Seq) Pool-Seq approach to detect SNPs and identify SNPs under selection for a given environmental cline. We also found that the existing molecular evidences are inadequate in predicting the local adaptations to climate change in tropical forest ecosystems.
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58
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Bergey CM, Lukindu M, Wiltshire RM, Fontaine MC, Kayondo JK, Besansky NJ. Assessing connectivity despite high diversity in island populations of a malaria mosquito. Evol Appl 2020; 13:417-431. [PMID: 31993086 PMCID: PMC6976967 DOI: 10.1111/eva.12878] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 08/28/2019] [Accepted: 09/27/2019] [Indexed: 12/14/2022] Open
Abstract
Documenting isolation is notoriously difficult for species with vast polymorphic populations. High proportions of shared variation impede estimation of connectivity, even despite leveraging information from many genetic markers. We overcome these impediments by combining classical analysis of neutral variation with assays of the structure of selected variation, demonstrated using populations of the principal African malaria vector Anopheles gambiae. Accurate estimation of mosquito migration is crucial for efforts to combat malaria. Modeling and cage experiments suggest that mosquito gene drive systems will enable malaria eradication, but establishing safety and efficacy requires identification of isolated populations in which to conduct field testing. We assess Lake Victoria islands as candidate sites, finding one island 30 km offshore is as differentiated from mainland samples as populations from across the continent. Collectively, our results suggest sufficient contemporary isolation of these islands to warrant consideration as field-testing locations and illustrate shared adaptive variation as a useful proxy for connectivity in highly polymorphic species.
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Affiliation(s)
- Christina M. Bergey
- Department of Biological SciencesUniversity of Notre DameNotre DameINUSA
- Eck Institute for Global HealthUniversity of Notre DameNotre DameINUSA
- Department of GeneticsRutgers UniversityPiscatawayNJUSA
- Departments of Anthropology and BiologyPennsylvania State UniversityUniversity ParkPAUSA
| | - Martin Lukindu
- Department of Biological SciencesUniversity of Notre DameNotre DameINUSA
- Eck Institute for Global HealthUniversity of Notre DameNotre DameINUSA
| | - Rachel M. Wiltshire
- Department of Biological SciencesUniversity of Notre DameNotre DameINUSA
- Eck Institute for Global HealthUniversity of Notre DameNotre DameINUSA
| | - Michael C. Fontaine
- Groningen Institute for Evolutionary Life Sciences (GELIFES)University of GroningenGroningenThe Netherlands
- MIVEGECIRDCNRSUniversity of MontpellierMontpellierFrance
| | | | - Nora J. Besansky
- Department of Biological SciencesUniversity of Notre DameNotre DameINUSA
- Eck Institute for Global HealthUniversity of Notre DameNotre DameINUSA
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59
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Tang Q, Fung T, Rheindt FE. ResDisMapper: An r package for fine-scale mapping of resistance to dispersal. Mol Ecol Resour 2019; 20. [PMID: 31845517 DOI: 10.1111/1755-0998.13127] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 12/04/2019] [Accepted: 12/06/2019] [Indexed: 01/16/2023]
Abstract
Management of biological invasions and conservation activity in the fight against habitat fragmentation both require information on how ongoing dispersal of organisms is affected by the environment. However, there are few landscape genetic computer programs that map resistance to dispersal at small spatiotemporal scales. To facilitate such analyses, we present an r package named ResDisMapper for the mapping of resistance to dispersal at small spatiotemporal scales, without the need for prior knowledge on environmental features or intensive computation. Based on the concept of isolation by distance (IBD), ResDisMapper calculates resistance using deviations of each pair of samples from the general IBD trend (IBD residuals). The IBD residuals are projected onto the studied area, which allows construction and visualization of a fine-scale map of resistance based on spatial accumulation of positive or negative IBD residuals. In this study, we tested ResDisMapper with both simulated and empirical data sets and compared its performance with two other popular landscape genetic programs. Overall, we found that ResDisMapper can map resistance with relatively high accuracy. The latest version of the package and associated documentation are available on Github (https://github.com/takfung/ResDisMapper).
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Affiliation(s)
- Qian Tang
- Department of Biological Sciences, National University of Singapore, Singapore City, Singapore
| | - Tak Fung
- Department of Biological Sciences, National University of Singapore, Singapore City, Singapore
| | - Frank E Rheindt
- Department of Biological Sciences, National University of Singapore, Singapore City, Singapore
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60
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Mattingsdal M, Jorde PE, Knutsen H, Jentoft S, Stenseth NC, Sodeland M, Robalo JI, Hansen MM, André C, Blanco Gonzalez E. Demographic history has shaped the strongly differentiated corkwing wrasse populations in Northern Europe. Mol Ecol 2019; 29:160-171. [DOI: 10.1111/mec.15310] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 11/06/2019] [Accepted: 11/13/2019] [Indexed: 12/11/2022]
Affiliation(s)
- Morten Mattingsdal
- Department of Natural Sciences Centre for Coastal Research University of Agder Kristiansand Norway
| | | | - Halvor Knutsen
- Department of Natural Sciences Centre for Coastal Research University of Agder Kristiansand Norway
- Institute of Marine Research Flødevigen Norway
| | - Sissel Jentoft
- Department of Biosciences Centre for Ecological and Evolutionary Synthesis University of Oslo Oslo Norway
| | - Nils Christian Stenseth
- Department of Natural Sciences Centre for Coastal Research University of Agder Kristiansand Norway
- Department of Biosciences Centre for Ecological and Evolutionary Synthesis University of Oslo Oslo Norway
| | - Marte Sodeland
- Department of Natural Sciences Centre for Coastal Research University of Agder Kristiansand Norway
| | - Joana I. Robalo
- Marine and Environmental Sciences Centre ISPA Instituto Universitário de Ciências Psicológicas, Sociais e da Vida Lisboa Portugal
| | | | - Carl André
- Department of Marine Sciences‐Tjärnö Göteborg University Strömstad Sweden
| | - Enrique Blanco Gonzalez
- Department of Natural Sciences Centre for Coastal Research University of Agder Kristiansand Norway
- Norwegian College of Fishery Science UiT The Arctic University of Norway Tromsø Norway
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61
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García-Girón J, García P, Fernández-Aláez M, Bécares E, Fernández-Aláez C. Bridging population genetics and the metacommunity perspective to unravel the biogeographic processes shaping genetic differentiation of Myriophyllum alterniflorum DC. Sci Rep 2019; 9:18097. [PMID: 31792324 PMCID: PMC6889409 DOI: 10.1038/s41598-019-54725-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 11/19/2019] [Indexed: 11/08/2022] Open
Abstract
The degree to which dispersal limitation interacts with environmental filtering has intrigued metacommunity ecologists and molecular biogeographers since the beginning of both research disciplines. Since genetic methods are superior to coarse proxies of dispersal, understanding how environmental and geographic factors influence population genetic structure is becoming a fundamental issue for population genetics and also one of the most challenging avenues for metacommunity ecology. In this study of the aquatic macrophyte Myriophyllum alterniflorum DC., we explored the spatial genetic variation of eleven populations from the Iberian Plateau by means of microsatellite loci, and examined if the results obtained through genetic methods match modern perspectives of metacommunity theory. To do this, we applied a combination of robust statistical routines including network analysis, causal modelling and multiple matrix regression with randomization. Our findings revealed that macrophyte populations clustered into genetic groups that mirrored their geographic distributions. Importantly, we found a significant correlation between genetic variation and geographic distance at the regional scale. By using effective (genetic) dispersal estimates, our results are broadly in line with recent findings from metacommunity theory and re-emphasize the need to go beyond the historically predominant paradigm of understanding environmental heterogeneity as the main force driving macrophyte diversity patterns.
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Affiliation(s)
- Jorge García-Girón
- Group for Limnology and Environmental Biotechnology, Area of Ecology, Universidad de León, Campus de Vegazana, León, Spain.
| | - Pedro García
- Department of Molecular Biology, Universidad de León, Campus de Vegazana, León, Spain
| | - Margarita Fernández-Aláez
- Group for Limnology and Environmental Biotechnology, Area of Ecology, Universidad de León, Campus de Vegazana, León, Spain
| | - Eloy Bécares
- Group for Limnology and Environmental Biotechnology, Area of Ecology, Universidad de León, Campus de Vegazana, León, Spain
| | - Camino Fernández-Aláez
- Group for Limnology and Environmental Biotechnology, Area of Ecology, Universidad de León, Campus de Vegazana, León, Spain
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62
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Carvalho CS, Lanes ÉCM, Silva AR, Caldeira CF, Carvalho-Filho N, Gastauer M, Imperatriz-Fonseca VL, Nascimento Júnior W, Oliveira G, Siqueira JO, Viana PL, Jaffé R. Habitat Loss Does Not Always Entail Negative Genetic Consequences. Front Genet 2019; 10:1011. [PMID: 31798621 PMCID: PMC6863885 DOI: 10.3389/fgene.2019.01101] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Accepted: 09/23/2019] [Indexed: 12/21/2022] Open
Abstract
Although habitat loss has large, consistently negative effects on biodiversity, its genetic consequences are not yet fully understood. This is because measuring the genetic consequences of habitat loss requires accounting for major methodological limitations like the confounding effect of habitat fragmentation, historical processes underpinning genetic differentiation, time-lags between the onset of disturbances and genetic outcomes, and the need for large numbers of samples, genetic markers, and replicated landscapes to ensure sufficient statistical power. In this paper we overcame all these challenges to assess the genetic consequences of extreme habitat loss driven by mining in two herbs endemic to Amazonian savannas. Relying on genotyping-by-sequencing of hundreds of individuals collected across two mining landscapes, we identified thousands of neutral and independent single-nucleotide polymorphisms (SNPs) in each species and used these to evaluate population structure, genetic diversity, and gene flow. Since open-pit mining in our study region rarely involves habitat fragmentation, we were able to assess the independent effect of habitat loss. We also accounted for the underlying population structure when assessing landscape effects on genetic diversity and gene flow, examined the sensitivity of our analyses to the resolution of spatial data, and used annual species and cross-year analyses to minimize and quantify possible time-lag effects. We found that both species are remarkably resilient, as genetic diversity and gene flow patterns were unaffected by habitat loss. Whereas historical habitat amount was found to influence inbreeding; heterozygosity and inbreeding were not affected by habitat loss in either species, and gene flow was mainly influenced by geographic distance, pre-mining land cover, and local climate. Our study demonstrates that it is not possible to generalize about the genetic consequences of habitat loss, and implies that future conservation efforts need to consider species-specific genetic information.
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Affiliation(s)
| | | | - Amanda R. Silva
- Instituto Tecnológico Vale, Belém, Brazil
- Departamento de Botânica, Museu Paraense Emílio Goeldi, Belém, Brazil
| | | | | | | | | | | | | | | | - Pedro L. Viana
- Departamento de Botânica, Museu Paraense Emílio Goeldi, Belém, Brazil
| | - Rodolfo Jaffé
- Instituto Tecnológico Vale, Belém, Brazil
- Departamento de Ecologia, Universidade de São Paulo, São Paulo, Brazil
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63
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Baden AL, Mancini AN, Federman S, Holmes SM, Johnson SE, Kamilar J, Louis EE, Bradley BJ. Anthropogenic pressures drive population genetic structuring across a Critically Endangered lemur species range. Sci Rep 2019; 9:16276. [PMID: 31700150 PMCID: PMC6838192 DOI: 10.1038/s41598-019-52689-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 10/22/2019] [Indexed: 11/09/2022] Open
Abstract
In recent decades Madagascar has experienced significant habitat loss and modification, with minimal understanding of how human land use practices have impacted the evolution of its flora and fauna. In light of ongoing and intensifying anthropogenic pressures, we seek new insight into mechanisms driving genetic variability on this island, using a Critically Endangered lemur species, the black-and-white ruffed lemur (Varecia variegata), as a test case. Here, we examine the relative influence of natural and anthropogenic landscape features that we predict will impose barriers to dispersal and promote genetic structuring across the species range. Using circuit theory, we model functional connectivity among 18 sampling localities using population-based genetic distance (FST). We optimized resistance surfaces using genetic algorithms and assessed their performance using maximum-likelihood population-effects mixed models. The best supported resistance model was a composite surface that included two anthropogenic features, habitat cover and distance to villages, suggesting that rapid land cover modification by humans has driven change in the genetic structure of wild lemurs. Primary conservation priority should be placed on mitigating further forest loss and connecting regions identified as having low dispersal potential to prevent further loss of genetic diversity and promote the survival of other moist forest specialists.
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Affiliation(s)
- Andrea L Baden
- Department of Anthropology, Hunter College of the City University of New York, 695 Park Avenue, New York, NY, 10065, USA.
- Department of Anthropology, The Graduate Center of the City University of New York, New York, NY, 10016, USA.
- The New York Consortium in Evolutionary Primatology (NYCEP), New York, USA.
| | - Amanda N Mancini
- Department of Anthropology, The Graduate Center of the City University of New York, New York, NY, 10016, USA
- The New York Consortium in Evolutionary Primatology (NYCEP), New York, USA
| | - Sarah Federman
- Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT, 06511, USA
| | - Sheila M Holmes
- Department of Anthropology and Archaeology, University of Calgary, Calgary, Canada
| | - Steig E Johnson
- Department of Anthropology and Archaeology, University of Calgary, Calgary, Canada
| | - Jason Kamilar
- Department of Anthropology, University of Massachusetts, Amherst, Massachusetts, 01003, USA
| | - Edward E Louis
- Omaha's Henry Doorly Zoo and Aquarium, 3701S 10th St, Omaha, NE68107, USA
| | - Brenda J Bradley
- Center for the Advanced Study of Human Paleobiology, Department of Anthropology, The George Washington University, Washington, DC, 20052, USA
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64
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Torres-Morales L, Guillén A, Ruiz-Sanchez E. Distinct Patterns of Genetic Connectivity Found for Two Frugivorous Bat Species in Mesoamerica. ACTA CHIROPTEROLOGICA 2019. [DOI: 10.3161/15081109acc2019.21.1.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Laura Torres-Morales
- División de Posgrado, Instituto de Ecología, A.C., Carretera Antigua a Coatepec 351, El Haya, Xalapa, Veracruz 91070, Mexico
| | - Antonio Guillén
- Instituto de Ecología A.C., Carretera Antigua a Coatepec 351, El Haya, Xalapa, Veracruz 91070, Mexico
| | - Eduardo Ruiz-Sanchez
- Departamento de Botánica y Zoología, Centro Universitario de Ciencias Biológicas y Agropecuarias, Universidad de Guadalajara, Camino Ing. Ramón Padilla Sánchez 2100, Nextipac, Zapopán, Jalisco 45200, Mexico
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65
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Miles LS, Rivkin LR, Johnson MTJ, Munshi‐South J, Verrelli BC. Gene flow and genetic drift in urban environments. Mol Ecol 2019; 28:4138-4151. [DOI: 10.1111/mec.15221] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 08/02/2019] [Accepted: 08/13/2019] [Indexed: 01/02/2023]
Affiliation(s)
- Lindsay S. Miles
- Integrative Life Sciences Doctoral Program Virginia Commonwealth University Richmond VA USA
- Department of Biology University of Toronto Mississauga Mississauga ON Canada
| | - L. Ruth Rivkin
- Department of Biology University of Toronto Mississauga Mississauga ON Canada
- Centre for Urban Environments University of Toronto Mississauga Mississauga ON Canada
- Department of Ecology and Evolutionary Biology University of Toronto Toronto ON Canada
| | - Marc T. J. Johnson
- Department of Biology University of Toronto Mississauga Mississauga ON Canada
- Centre for Urban Environments University of Toronto Mississauga Mississauga ON Canada
| | - Jason Munshi‐South
- Louis Calder Center—Biological Field Station Fordham University Armonk NY USA
| | - Brian C. Verrelli
- Center for Life Sciences Education Virginia Commonwealth University Richmond VA USA
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66
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Miles LS, Breitbart ST, Wagner HH, Johnson MTJ. Urbanization Shapes the Ecology and Evolution of Plant-Arthropod Herbivore Interactions. Front Ecol Evol 2019. [DOI: 10.3389/fevo.2019.00310] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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67
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Edwards CE, Jackson PW. The Development of Plant Conservation in Botanic Gardens and the Current and Future Role of Conservation Genetics for Enhancing Those Conservation Efforts. MOLECULAR FRONTIERS JOURNAL 2019. [DOI: 10.1142/s2529732519400078] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Botanic gardens play major roles in plant conservation globally. Since the 1980s, the number of botanic gardens worldwide and their involvement in integrating ex situ and in situ plant conservation has increased significantly, with a growing focus on understanding, documenting, and capturing genetic diversity in their living collections. This article outlines why genetic diversity is important for conservation, and explores how botanic gardens can establish and expand the use of molecular techniques to support their plant conservation efforts.
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68
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Okamiya H, Kusano T. Effects of landscape features on gene flow among urban frog populations. Ecol Res 2019. [DOI: 10.1111/1440-1703.12011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Hisanori Okamiya
- Department of Biological Sciences, Graduate School of Sciences Tokyo Metropolitan University Hachioji‐shi Tokyo Japan
| | - Tamotsu Kusano
- Department of Biological Sciences, Graduate School of Sciences Tokyo Metropolitan University Hachioji‐shi Tokyo Japan
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69
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Tarroso P, Carvalho SB, Velo‐Antón G. Phylin 2.0: Extending the phylogeographical interpolation method to include uncertainty and user‐defined distance metrics. Mol Ecol Resour 2019; 19:1081-1094. [DOI: 10.1111/1755-0998.13010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 02/18/2019] [Accepted: 03/01/2019] [Indexed: 12/01/2022]
Affiliation(s)
- Pedro Tarroso
- CIBIO/InBIO Centro de Investigação em Biodiversidade e Recursos Genéticos da Universidade do Porto Vairão Portugal
- Institute of Evolutionary Biology (CSIC‐Universitat Pompeu Fabra) Barcelona Spain
| | - Sílvia B. Carvalho
- CIBIO/InBIO Centro de Investigação em Biodiversidade e Recursos Genéticos da Universidade do Porto Vairão Portugal
| | - Guillermo Velo‐Antón
- CIBIO/InBIO Centro de Investigação em Biodiversidade e Recursos Genéticos da Universidade do Porto Vairão Portugal
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70
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Emel SL, Olson DH, Knowles LL, Storfer A. Comparative landscape genetics of two endemic torrent salamander species, Rhyacotriton kezeri and R. variegatus: implications for forest management and species conservation. CONSERV GENET 2019. [DOI: 10.1007/s10592-019-01172-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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71
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Krishnan S, Ofori-Boateng C, Fujita MK, Leaché AD. Geographic variation in West African Agama picticauda: insights from genetics, morphology and ecology. AFR J HERPETOL 2019. [DOI: 10.1080/21564574.2018.1509139] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- Sneha Krishnan
- Colorado State University, College of Veterinary Medicine and Biomedical Sciences 1350 Center Ave, Fort Collins, CO 80521, Fort Collins, CO, USA 80526, 4257858934
| | - Caleb Ofori-Boateng
- Kwame Nkrumah University of Science and Technology, Wildlife and Range Management Department, Kumasi, Ghana
| | - Matthew K Fujita
- University of Texas at Arlington, Biology, Arlington, TX, USA 76019
| | - Adam D Leaché
- University of Washington Department of Biology, Seattle, WA, USA 98195-1800
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72
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Lima-Rezende CA, de Souza RO, Caparroz R. The spatial genetic structure of the White-banded Tanager (Aves, Passeriformes) in fragmented Neotropical savannas suggests two evolutionarily significant units. Biotropica 2019. [DOI: 10.1111/btp.12623] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Cássia Alves Lima-Rezende
- Laboratório de Genética e Biodiversidade; Departamento de Genética e Morfologia; Universidade de Brasília; Distrito Federal, Brasília Brasil
| | - Renata Oliveira de Souza
- Laboratório de Genética e Biodiversidade; Departamento de Genética e Morfologia; Universidade de Brasília; Distrito Federal, Brasília Brasil
| | - Renato Caparroz
- Laboratório de Genética e Biodiversidade; Departamento de Genética e Morfologia; Universidade de Brasília; Distrito Federal, Brasília Brasil
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73
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Monteiro WP, Veiga JC, Silva AR, Carvalho CDS, Lanes ÉCM, Rico Y, Jaffé R. Everything you always wanted to know about gene flow in tropical landscapes (but were afraid to ask). PeerJ 2019; 7:e6446. [PMID: 30783576 PMCID: PMC6377592 DOI: 10.7717/peerj.6446] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 01/15/2019] [Indexed: 11/30/2022] Open
Abstract
The bulk of the world’s biodiversity is found in tropical regions, which are increasingly threatened by the human-led degradation of natural habitats. Yet, little is known about tropical biodiversity responses to habitat loss and fragmentation. Here we review all available literature assessing landscape effects on gene flow in tropical species, aiming to help unravel the factors underpinning functional connectivity in the tropics. We map and classify studies by focus species, the molecular markers employed, statistical approaches to assess landscape effects on gene flow, and the evaluated landscape and environmental variables. We then compare qualitatively and quantitatively landscape effects on gene flow across species and units of analysis. We found 69 articles assessing landscape effects on gene flow in tropical organisms, most of which were published in the last five years, were concentrated in the Americas, and focused on amphibians or mammals. Most studies employed population-level approaches, microsatellites were the preferred type of markers, and Mantel and partial Mantel tests the most common statistical approaches used. While elevation, land cover and forest cover were the most common gene flow predictors assessed, habitat suitability was found to be a common predictor of gene flow. A third of all surveyed studies explicitly assessed the effect of habitat degradation, but only 14 of these detected a reduced gene flow with increasing habitat loss. Elevation was responsible for most significant microsatellite-based isolation by resistance effects and a single study reported significant isolation by non-forested areas in an ant. Our study reveals important knowledge gaps on the study of landscape effects on gene flow in tropical organisms, and provides useful guidelines on how to fill them.
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Affiliation(s)
| | - Jamille Costa Veiga
- Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Pará, Brazil
| | - Amanda Reis Silva
- Departamento de Botânica, Museu Paraense Emílio Goeldi, Belém, Pará, Brazil
| | | | | | - Yessica Rico
- CONACYT, Red de Diversidad Biológica del Occidente Mexicano, Instituto de Ecología, A.C., Michoacán, Mexico
| | - Rodolfo Jaffé
- Instituto Tecnológico Vale, Belém, PA, Brazil.,Departamento de Ecologia, Universidade de São Paulo, São Paulo, Brazil
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74
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Escoda L, Fernández‐González Á, Castresana J. Quantitative analysis of connectivity in populations of a semi‐aquatic mammal using kinship categories and network assortativity. Mol Ecol Resour 2019; 19:310-326. [DOI: 10.1111/1755-0998.12967] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Revised: 05/10/2018] [Accepted: 05/15/2018] [Indexed: 11/30/2022]
Affiliation(s)
- Lídia Escoda
- Institute of Evolutionary Biology CSIC‐Universitat Pompeu Fabra Barcelona Spain
| | | | - Jose Castresana
- Institute of Evolutionary Biology CSIC‐Universitat Pompeu Fabra Barcelona Spain
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75
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Landscape genetic analyses of Cervus elaphus and Sus scrofa: comparative study and analytical developments. Heredity (Edinb) 2019; 123:228-241. [PMID: 30710096 DOI: 10.1038/s41437-019-0183-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Revised: 12/03/2018] [Accepted: 12/18/2018] [Indexed: 11/08/2022] Open
Abstract
Red deer and wild boar are two major game species whose populations are managed and live in areas impacted by human activities. Measuring and understanding the impact of landscape features on individual movements and spatial patterns of genetic variability in these species is thus of importance for managers. A large number of individuals sampled across Wallonia (Belgium) for both species have been genotyped using microsatellite markers (respectively > 1700 and > 1200 genotyped individuals) and some individuals have also been followed using a capture-mark-recapture (CMR) protocol. The combined data set represents an unprecedented opportunity to study and compare the environmental factors impacting the interconnectivity of these large mammals. The present study describes and uses a landscape genetic workflow to compare spatial patterns of genetic variability and the impact of environmental factors on genetic differentiation. For the latter analyses, we investigate the correlation between genetic and environmental distances (pairwise approach) and also between local genetic dissimilarity and environmental conditions (point approach). Preliminary analyses of CMR data confirm that motorways act as significant barriers to dispersal. However, analyses performed with the pairwise approach do not highlight any evidence of an impact of motorways on genetic differentiation, which is presumably due to their recent establishment. Complementary analyses performed with the point approach reveal that low altitude tends to be associated with higher genetic dissimilarity. From a methodological point of view, the present workflow illustrates the complementary application of both pairwise and point approaches, as well as univariate and multivariate analyses.
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76
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Oliveira JDA, Farias IP, Costa GC, Werneck FP. Model-based riverscape genetics: disentangling the roles of local and connectivity factors in shaping spatial genetic patterns of two Amazonian turtles with different dispersal abilities. Evol Ecol 2019. [DOI: 10.1007/s10682-019-09973-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
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77
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Crabot J, Clappe S, Dray S, Datry T. Testing the Mantel statistic with a spatially‐constrained permutation procedure. Methods Ecol Evol 2019. [DOI: 10.1111/2041-210x.13141] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Julie Crabot
- IRSTEAUR‐MALYCentre de Lyon‐Villeurbanne Villeurbanne Cedex France
| | - Sylvie Clappe
- Université Lyon 1CNRSUMR5558Laboratoire de Biométrie et Biologie Evolutive Villeurbanne France
| | - Stéphane Dray
- Université Lyon 1CNRSUMR5558Laboratoire de Biométrie et Biologie Evolutive Villeurbanne France
| | - Thibault Datry
- IRSTEAUR‐MALYCentre de Lyon‐Villeurbanne Villeurbanne Cedex France
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78
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Flores‐Manzanero A, Luna‐Bárcenas MA, Dyer RJ, Vázquez‐Domínguez E. Functional connectivity and home range inferred at a microgeographic landscape genetics scale in a desert-dwelling rodent. Ecol Evol 2019; 9:437-453. [PMID: 30680126 PMCID: PMC6342108 DOI: 10.1002/ece3.4762] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Revised: 11/08/2018] [Accepted: 11/12/2018] [Indexed: 11/24/2022] Open
Abstract
Gene flow in animals is limited or facilitated by different features within the landscape matrix they inhabit. The landscape representation in landscape genetics (LG) is traditionally modeled as resistance surfaces (RS), where novel optimization approaches are needed for assigning resistance values that adequately avoid subjectivity. Also, desert ecosystems and mammals are scarcely represented in LG studies. We addressed these issues by evaluating, at a microgeographic scale, the effect of landscape features on functional connectivity of the desert-dwelling Dipodomys merriami. We characterized genetic diversity and structure with microsatellites loci, estimated home ranges and movement of individuals using telemetry-one of the first with rodents, generated a set of individual and composite environmental surfaces based on hypotheses of variables influencing movement, and assessed how these variables relate to individual-based gene flow. Genetic diversity and structure results evidenced a family-induced pattern driven by first-order-related individuals, notably determining landscape genetic inferences. The vegetation cover and soil resistance optimized surface (NDVI) were the best-supported model and a significant predictor of individual genetic distance, followed by humidity and NDVI+humidity. Based on an accurate definition of thematic resolution, we also showed that vegetation is better represented as continuously (vs. categorically) distributed. Hence, with a nonsubjective optimization framework for RS and telemetry, we were able to describe that vegetation cover, soil texture, and climatic variables influence D. merriami's functional connectivity at a microgeographic scale, patterns we could further explain based on the home range, habitat use, and activity observed between sexes. We describe the relationship between environmental features and some aspects of D. merriami's behavior and physiology.
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Affiliation(s)
- Alejandro Flores‐Manzanero
- Departamento de Ecología de la Biodiversidad, Instituto de EcologíaUniversidad Nacional Autónoma de MéxicoCiudad de MéxicoMéxico
- Posgrado en Ciencias BiológicasUniversidad Nacional Autónoma de MéxicoCiudad de MéxicoMéxico
| | - Madisson A. Luna‐Bárcenas
- Departamento de Ecología de la Biodiversidad, Instituto de EcologíaUniversidad Nacional Autónoma de MéxicoCiudad de MéxicoMéxico
| | - Rodney J. Dyer
- Department of Biology and Center for Environmental StudiesVirginia Commonwealth UniversityRichmondVirginia
| | - Ella Vázquez‐Domínguez
- Departamento de Ecología de la Biodiversidad, Instituto de EcologíaUniversidad Nacional Autónoma de MéxicoCiudad de MéxicoMéxico
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79
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Priadka P, Manseau M, Trottier T, Hervieux D, Galpern P, McLoughlin PD, Wilson PJ. Partitioning drivers of spatial genetic variation for a continuously distributed population of boreal caribou: Implications for management unit delineation. Ecol Evol 2019; 9:141-153. [PMID: 30680102 PMCID: PMC6342118 DOI: 10.1002/ece3.4682] [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: 08/02/2018] [Revised: 09/25/2018] [Accepted: 10/14/2018] [Indexed: 12/31/2022] Open
Abstract
Isolation by distance (IBD) is a natural pattern not readily incorporated into theoretical models nor traditional metrics for differentiating populations, although clinal genetic differentiation can be characteristic of many wildlife species. Landscape features can also drive population structure additive to baseline IBD resulting in differentiation through isolation-by-resistance (IBR). We assessed the population genetic structure of boreal caribou across western Canada using nonspatial (STRUCTURE) and spatial (MEMGENE) clustering methods and investigated the relative contribution of IBD and IBR on genetic variation of 1,221 boreal caribou multilocus genotypes across western Canada. We further introduced a novel approach to compare the partitioning of individuals into management units (MU) and assessed levels of genetic connectivity under different MU scenarios. STRUCTURE delineated five genetic clusters while MEMGENE identified finer-scale differentiation across the study area. IBD was significant and did not differ for males and females both across and among detected genetic clusters. MEMGENE landscape analysis further quantified the proportion of genetic variation contributed by IBD and IBR patterns, allowing for the relative importance of spatial drivers, including roads, water bodies, and wildfires, to be assessed and incorporated into the characterization of population structure for the delineation of MUs. Local population units, as currently delineated in the boreal caribou recovery strategy, do not capture the genetic variation and connectivity of the ecotype across the study area. Here, we provide the tools to assess fine-scale spatial patterns of genetic variation, partition drivers of genetic variation, and evaluate the best management options for maintaining genetic connectivity. Our approach is highly relevant to vagile wildlife species that are of management and conservation concern and demonstrate varying degrees of IBD and IBR with clinal spatial genetic structure that challenges the delineation of discrete population boundaries.
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Affiliation(s)
- Pauline Priadka
- Natural Resources InstituteUniversity of ManitobaWinnipegManitobaCanada
| | - Micheline Manseau
- Natural Resources InstituteUniversity of ManitobaWinnipegManitobaCanada
- Landscape Science and Technology DivisionEnvironment and Climate Change CanadaOttawaOntarioCanada
- Biology DepartmentTrent UniversityPeterboroughOntarioCanada
| | - Tim Trottier
- Ministry of EnvironmentSaskatchewan GovernmentLa RongeSaskatchewanCanada
| | - Dave Hervieux
- Department of Environment and ParksAlberta GovernmentGrande Prairie, AlbertaCanada
| | - Paul Galpern
- Faculty of Environmental Design and Department of Biological SciencesUniversity of CalgaryCalgaryAlbertaCanada
| | | | - Paul J. Wilson
- Natural Resources InstituteUniversity of ManitobaWinnipegManitobaCanada
- Biology DepartmentTrent UniversityPeterboroughOntarioCanada
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80
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Kozakiewicz CP, Burridge CP, Funk WC, VandeWoude S, Craft ME, Crooks KR, Ernest HB, Fountain‐Jones NM, Carver S. Pathogens in space: Advancing understanding of pathogen dynamics and disease ecology through landscape genetics. Evol Appl 2018; 11:1763-1778. [PMID: 30459828 PMCID: PMC6231466 DOI: 10.1111/eva.12678] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 06/24/2018] [Accepted: 06/28/2018] [Indexed: 12/30/2022] Open
Abstract
Landscape genetics has provided many insights into how heterogeneous landscape features drive processes influencing spatial genetic variation in free-living organisms. This rapidly developing field has focused heavily on vertebrates, and expansion of this scope to the study of infectious diseases holds great potential for landscape geneticists and disease ecologists alike. The potential application of landscape genetics to infectious agents has garnered attention at formative stages in the development of landscape genetics, but systematic examination is lacking. We comprehensively review how landscape genetics is being used to better understand pathogen dynamics. We characterize the field and evaluate the types of questions addressed, approaches used and systems studied. We also review the now established landscape genetic methods and their realized and potential applications to disease ecology. Lastly, we identify emerging frontiers in the landscape genetic study of infectious agents, including recent phylogeographic approaches and frameworks for studying complex multihost and host-vector systems. Our review emphasizes the expanding utility of landscape genetic methods available for elucidating key pathogen dynamics (particularly transmission and spread) and also how landscape genetic studies of pathogens can provide insight into host population dynamics. Through this review, we convey how increasing awareness of the complementarity of landscape genetics and disease ecology among practitioners of each field promises to drive important cross-disciplinary advances.
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Affiliation(s)
| | | | - W. Chris Funk
- Department of BiologyGraduate Degree Program in EcologyColorado State UniversityFort CollinsColorado
| | - Sue VandeWoude
- Department of Microbiology, Immunology, and PathologyColorado State UniversityFort CollinsColorado
| | - Meggan E. Craft
- Department of Veterinary Population MedicineUniversity of MinnesotaSt. PaulMinnesota
| | - Kevin R. Crooks
- Department of Fish, Wildlife, and Conservation BiologyColorado State UniversityFort CollinsColorado
| | - Holly B. Ernest
- Wildlife Genomics and Disease Ecology LaboratoryDepartment of Veterinary SciencesUniversity of WyomingLaramieWyoming
| | | | - Scott Carver
- School of Natural SciencesUniversity of TasmaniaHobartTasmaniaAustralia
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81
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Milanesi P, Caniglia R, Fabbri E, Puopolo F, Galaverni M, Holderegger R. Combining Bayesian genetic clustering and ecological niche modeling: Insights into wolf intraspecific genetic structure. Ecol Evol 2018; 8:11224-11234. [PMID: 30519439 PMCID: PMC6262746 DOI: 10.1002/ece3.4594] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 07/10/2018] [Accepted: 09/12/2018] [Indexed: 12/30/2022] Open
Abstract
The distribution of intraspecific genetic variation and how it relates to environmental factors is of increasing interest to researchers in macroecology and biogeography. Recent studies investigated the relationships between the environment and patterns of intraspecific genetic variation across species ranges but only few rigorously tested the relation between genetic groups and their ecological niches. We quantified the relationship of genetic differentiation (F ST) and the overlap of ecological niches (as measured by n-dimensional hypervolumes) among genetic groups resulting from spatial Bayesian genetic clustering in the wolf (Canis lupus) in the Italian peninsula. Within the Italian wolf population, four genetic clusters were detected, and these clusters showed different ecological niches. Moreover, different wolf clusters were significantly related to differences in land cover and human disturbance features. Such differences in the ecological niches of genetic clusters should be interpreted in light of neutral processes that hinder movement, dispersal, and gene flow among the genetic clusters, in order to not prematurely assume any selective or adaptive processes. In the present study, we found that both the plasticity of wolves-a habitat generalist-to cope with different environmental conditions and the occurrence of barriers that limit gene flow lead to the formation of genetic intraspecific genetic clusters and their distinct ecological niches.
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Affiliation(s)
- Pietro Milanesi
- Swiss Ornithological InstituteSempachSwitzerland
- Area per la Genetica della ConservazioneIstituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA)BolognaItaly
| | - Romolo Caniglia
- Area per la Genetica della ConservazioneIstituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA)BolognaItaly
| | - Elena Fabbri
- Area per la Genetica della ConservazioneIstituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA)BolognaItaly
| | | | | | - Rolf Holderegger
- WSL Swiss Federal Research InstituteBirmensdorfSwitzerland
- Department of Environmental Systems SciencesETH ZürichZürichSwitzerland
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82
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Gene flow simulations demonstrate resistance of long-lived species to genetic erosion from habitat fragmentation. CONSERV GENET 2018. [DOI: 10.1007/s10592-018-1112-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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83
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Bertl J, Ringbauer H, Blum MG. Can secondary contact following range expansion be distinguished from barriers to gene flow? PeerJ 2018; 6:e5325. [PMID: 30294507 PMCID: PMC6171497 DOI: 10.7717/peerj.5325] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Accepted: 07/01/2018] [Indexed: 11/20/2022] Open
Abstract
Secondary contact is the reestablishment of gene flow between sister populations that have diverged. For instance, at the end of the Quaternary glaciations in Europe, secondary contact occurred during the northward expansion of the populations which had found refugia in the southern peninsulas. With the advent of multi-locus markers, secondary contact can be investigated using various molecular signatures including gradients of allele frequency, admixture clines, and local increase of genetic differentiation. We use coalescent simulations to investigate if molecular data provide enough information to distinguish between secondary contact following range expansion and an alternative evolutionary scenario consisting of a barrier to gene flow in an isolation-by-distance model. We find that an excess of linkage disequilibrium and of genetic diversity at the suture zone is a unique signature of secondary contact. We also find that the directionality index ψ, which was proposed to study range expansion, is informative to distinguish between the two hypotheses. However, although evidence for secondary contact is usually conveyed by statistics related to admixture coefficients, we find that they can be confounded by isolation-by-distance. We recommend to account for the spatial repartition of individuals when investigating secondary contact in order to better reflect the complex spatio-temporal evolution of populations and species.
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Affiliation(s)
- Johanna Bertl
- Department of Molecular Medicine, Aarhus University, Aarhus, Denmark
- Vienna Graduate School of Population Genetics, Vetmeduni Vienna, Vienna, Austria
| | - Harald Ringbauer
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
- Institute of Science and Technology Austria, Klosterneuburg, Austria
| | - Michael G.B. Blum
- Laboratoire TIMC-IMAG, UMR 5525, Université Grenoble Alpes, CNRS, Grenoble, France
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84
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Draheim HM, Moore JA, Fortin M, Scribner KT. Beyond the snapshot: Landscape genetic analysis of time series data reveal responses of American black bears to landscape change. Evol Appl 2018; 11:1219-1230. [PMID: 30151035 PMCID: PMC6100183 DOI: 10.1111/eva.12617] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Accepted: 02/08/2018] [Indexed: 01/18/2023] Open
Abstract
Landscape genetic studies typically focus on the evolutionary processes that give rise to spatial patterns that are quantified at a single point in time. Although landscape change is widely recognized as a strong driver of microevolutionary processes, few landscape genetic studies have directly evaluated the change in spatial genetic structure (SGS) over time with concurrent changes in landscape pattern. We introduce a novel approach to analyze landscape genetic data through time. We demonstrate this approach using genotyped samples (n = 569) from a large black bear (Ursus americanus) population in Michigan (USA) that were harvested during 3 years (2002, 2006, and 2010). We identified areas that were consistently occupied over this 9-year period and quantified temporal variation in SGS. Then, we evaluated alternative hypotheses about effects of changes in landscape features (e.g., deforestation or crop conversion) on fine-scale SGS among years using spatial autoregressive modeling and model selection. Relative measures of landscape change such as magnitude of landscape change (i.e., number of patches changing from suitable to unsuitable states or vice versa), and during later periods, measures of fragmentation (i.e., patch aggregation and cohesion) were associated with change in SGS. Our results stress the importance of conducting time series studies for the conservation and management of wildlife inhabiting rapidly changing landscapes.
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Affiliation(s)
- Hope M. Draheim
- Department of ZoologyMichigan State UniversityEast LansingMIUSA
| | | | - Marie‐Josée Fortin
- Department of Ecology & Evolutionary BiologyUniversity of TorontoTorontoONCanada
| | - Kim T. Scribner
- Department of Fisheries and WildlifeMichigan State UniversityEast LansingMIUSA
- Department of Integrative BiologyMichigan State UniversityEast LansingMIUSA
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85
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Ma T, Hu Y, Russo IRM, Nie Y, Yang T, Xiong L, Ma S, Meng T, Han H, Zhang X, Bruford MW, Wei F. Walking in a heterogeneous landscape: Dispersal, gene flow and conservation implications for the giant panda in the Qinling Mountains. Evol Appl 2018; 11:1859-1872. [PMID: 30459834 PMCID: PMC6231463 DOI: 10.1111/eva.12686] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 07/14/2018] [Accepted: 07/16/2018] [Indexed: 01/04/2023] Open
Abstract
Understanding the interaction between life history, demography and population genetics in threatened species is critical for the conservations of viable populations. In the context of habitat loss and fragmentation, identifying the factors that underpin the structuring of genetic variation within populations can allow conservationists to evaluate habitat quality and connectivity and help to design dispersal corridors effectively. In this study, we carried out a detailed, fine‐scale landscape genetic investigation of a giant panda population from the Qinling Mountains for the first time. With a large microsatellite data set and complementary analysis methods, we examined the role of isolation‐by‐barriers (IBB), isolation‐by‐distance (IBD) and isolation‐by‐resistance (IBR) in shaping the pattern of genetic variation in this giant panda population. We found that the Qinling population comprises one continuous genetic cluster, and among the landscape hypotheses tested, gene flow was found to be correlated with resistance gradients for two topographic factors, slope aspect and topographic complexity, rather than geographical distance or barriers. Gene flow was inferred to be facilitated by easterly slope aspect and to be constrained by topographically complex landscapes. These factors are related to benign microclimatic conditions for both the pandas and the food resources they rely on and more accessible topographic conditions for movement, respectively. We identified optimal corridors based on these results, aiming to promote gene flow between human‐induced habitat fragments. These findings provide insight into the permeability and affinities of giant panda habitats and offer important reference for the conservation of the giant panda and its habitat.
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Affiliation(s)
- Tianxiao Ma
- Key Laboratory of Animal Ecology and Conservation Biology Institute of Zoology Chinese Academy of Sciences Beijing China.,University of Chinese Academy of Sciences Beijing China
| | - Yibo Hu
- Key Laboratory of Animal Ecology and Conservation Biology Institute of Zoology Chinese Academy of Sciences Beijing China.,Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences Kunming China
| | | | - Yonggang Nie
- Key Laboratory of Animal Ecology and Conservation Biology Institute of Zoology Chinese Academy of Sciences Beijing China.,Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences Kunming China
| | - Tianyou Yang
- School of Life Sciences Guizhou Normal University Guiyang Guizhou China
| | - Lijuan Xiong
- School of Life Sciences Guizhou Normal University Guiyang Guizhou China
| | - Shuai Ma
- Key Laboratory of Animal Ecology and Conservation Biology Institute of Zoology Chinese Academy of Sciences Beijing China.,University of Chinese Academy of Sciences Beijing China
| | - Tao Meng
- Guangxi Forest Inventory & Planning Institute Nanning Guangxi China
| | - Han Han
- Key Laboratory of Animal Ecology and Conservation Biology Institute of Zoology Chinese Academy of Sciences Beijing China
| | | | - Michael W Bruford
- Cardiff School of Biosciences Cardiff University Cardiff UK.,Sustainable Places Research Institute Cardiff University Cardiff UK
| | - Fuwen Wei
- Key Laboratory of Animal Ecology and Conservation Biology Institute of Zoology Chinese Academy of Sciences Beijing China.,University of Chinese Academy of Sciences Beijing China.,Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences Kunming China
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86
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Sun Z, Wang H, Zhou W, Shi W, Zhu W, Zhang B. How rivers and historical climate oscillations impact on genetic structure in Chinese Muntjac ( Muntiacus reevesi)? DIVERS DISTRIB 2018. [DOI: 10.1111/ddi.12833] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Affiliation(s)
- Zhonglou Sun
- School of Life Sciences; Anhui Key Laboratory of Eco-engineering and Bio-technique; Anhui University; Hefei Anhui China
- Department of Medicine; University of Utah; Salt Lake City Utah USA
| | - Hui Wang
- School of Life Sciences; Anhui Key Laboratory of Eco-engineering and Bio-technique; Anhui University; Hefei Anhui China
| | - Wenliang Zhou
- School of Life Sciences; Anhui Key Laboratory of Eco-engineering and Bio-technique; Anhui University; Hefei Anhui China
| | - Wenbo Shi
- School of Life Sciences; Anhui Key Laboratory of Eco-engineering and Bio-technique; Anhui University; Hefei Anhui China
| | - Weiquan Zhu
- Department of Medicine; University of Utah; Salt Lake City Utah USA
| | - Baowei Zhang
- School of Life Sciences; Anhui Key Laboratory of Eco-engineering and Bio-technique; Anhui University; Hefei Anhui China
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87
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Miles LS, Dyer RJ, Verrelli BC. Urban hubs of connectivity: contrasting patterns of gene flow within and among cities in the western black widow spider. Proc Biol Sci 2018; 285:rspb.2018.1224. [PMID: 30068686 DOI: 10.1098/rspb.2018.1224] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Accepted: 07/10/2018] [Indexed: 12/20/2022] Open
Abstract
As urbanization drastically alters the natural landscape and generates novel habitats within cities, the potential for changes to gene flow for urban-dwelling species increases. The western black widow spider (Latrodectus hesperus) is a medically relevant urban adapter pest species, for which we have previously identified population genetic signatures consistent with urbanization facilitating gene flow, likely due to human-mediated transport. Here, in an analysis of 1.9 million genome-wide SNPs, we contrast broad-scale geographical analyses of 10 urban and 11 non-urban locales with fine-scale within-city analyses including 30 urban locales across the western USA. These hierarchical datasets enable us to test hypotheses of how urbanization impacts multiple urban cities and their genetic connectivity at different spatial scales. Coupled fine-scale and broad-scale analyses reveal contrasting patterns of high and low genetic differentiation among locales within cities as a result of low and high genetic connectivity, respectively, of these cities to the overall population network. We discuss these results as they challenge the use of cities as replicates of urban eco-evolution, and have implications for conservation and human health in a rapidly growing urban habitat.
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Affiliation(s)
- Lindsay S Miles
- Center for Life Sciences Education, Virginia Commonwealth University, Richmond, VA, USA.,Integrative Life Sciences Doctoral Program, Virginia Commonwealth University, Richmond, VA, USA
| | - Rodney J Dyer
- Center for Environmental Studies, Virginia Commonwealth University, Richmond, VA, USA
| | - Brian C Verrelli
- Center for Life Sciences Education, Virginia Commonwealth University, Richmond, VA, USA .,Department of Biology, Virginia Commonwealth University, Richmond, VA, USA
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88
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Milligan BG, Archer FI, Ferchaud A, Hand BK, Kierepka EM, Waples RS. Disentangling genetic structure for genetic monitoring of complex populations. Evol Appl 2018; 11:1149-1161. [PMID: 30026803 PMCID: PMC6050185 DOI: 10.1111/eva.12622] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 02/14/2018] [Indexed: 12/25/2022] Open
Abstract
Genetic monitoring estimates temporal changes in population parameters from molecular marker information. Most populations are complex in structure and change through time by expanding or contracting their geographic range, becoming fragmented or coalescing, or increasing or decreasing density. Traditional approaches to genetic monitoring rely on quantifying temporal shifts of specific population metrics-heterozygosity, numbers of alleles, effective population size-or measures of geographic differentiation such as FST. However, the accuracy and precision of the results can be heavily influenced by the type of genetic marker used and how closely they adhere to analytical assumptions. Care must be taken to ensure that inferences reflect actual population processes rather than changing molecular techniques or incorrect assumptions of an underlying model of population structure. In many species of conservation concern, true population structure is unknown, or structure might shift over time. In these cases, metrics based on inappropriate assumptions of population structure may not provide quality information regarding the monitored population. Thus, we need an inference model that decouples the complex elements that define population structure from estimation of population parameters of interest and reveals, rather than assumes, fine details of population structure. Encompassing a broad range of possible population structures would enable comparable inferences across biological systems, even in the face of range expansion or contraction, fragmentation, or changes in density. Currently, the best candidate is the spatial Λ-Fleming-Viot (SLFV) model, a spatially explicit individually based coalescent model that allows independent inference of two of the most important elements of population structure: local population density and local dispersal. We support increased use of the SLFV model for genetic monitoring by highlighting its benefits over traditional approaches. We also discuss necessary future directions for model development to support large genomic datasets informing real-world management and conservation issues.
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Affiliation(s)
| | | | - Anne‐Laure Ferchaud
- Institut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébecQCCanada
| | - Brian K. Hand
- Flathead Lake Biological StationUniversity of MontanaPolsonMTUSA
| | | | - Robin S. Waples
- NOAA FisheriesNorthwest Fisheries Science CenterSeattleWAUSA
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89
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Importance of landscape features and fire refuges on genetic diversity of Thuya occidentalis L., in boreal fire dominated landscapes. CONSERV GENET 2018. [DOI: 10.1007/s10592-018-1091-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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90
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van Rees CB, Reed JM, Wilson RE, Underwood JG, Sonsthagen SA. Landscape genetics identifies streams and drainage infrastructure as dispersal corridors for an endangered wetland bird. Ecol Evol 2018; 8:8328-8343. [PMID: 30250706 PMCID: PMC6145004 DOI: 10.1002/ece3.4296] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Revised: 05/03/2018] [Accepted: 05/14/2018] [Indexed: 12/28/2022] Open
Abstract
Anthropogenic alterations to landscape structure and composition can have significant impacts on biodiversity, potentially leading to species extinctions. Population‐level impacts of landscape change are mediated by animal behaviors, in particular dispersal behavior. Little is known about the dispersal habits of rails (Rallidae) due to their cryptic behavior and tendency to occupy densely vegetated habitats. The effects of landscape structure on the movement behavior of waterbirds in general are poorly studied due to their reputation for having high dispersal abilities. We used a landscape genetic approach to test hypotheses of landscape effects on dispersal behavior of the Hawaiian gallinule (Gallinula galeata sandvicensis), an endangered subspecies endemic to the Hawaiian Islands. We created a suite of alternative resistance surfaces representing biologically plausible a priori hypotheses of how gallinules might navigate the landscape matrix and ranked these surfaces by their ability to explain observed patterns in genetic distance among 12 populations on the island of O`ahu. We modeled effective distance among wetland locations on all surfaces using both cumulative least‐cost‐path and resistance‐distance approaches and evaluated relative model performance using Mantel tests, a causal modeling approach, and the mixed‐model maximum‐likelihood population‐effects framework. Across all genetic markers, simulation methods, and model comparison metrics, surfaces that treated linear water features like streams, ditches, and canals as corridors for gallinule movement outperformed all other models. This is the first landscape genetic study on the movement behavior of any waterbird species to our knowledge. Our results indicate that lotic water features, including drainage infrastructure previously thought to be of minimal habitat value, contribute to habitat connectivity in this listed subspecies.
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Affiliation(s)
| | - J Michael Reed
- Department of Biology Tufts University Medford Massachusetts
| | - Robert E Wilson
- U. S. Geological Survey Alaska Science Center Anchorage Alaska
| | - Jared G Underwood
- Pacific Reefs National Wildlife Refuge Complex U.S. Fish and Wildlife Service Honolulu Hawaii.,Present address: Don Edwards San Francisco Bay National Wildlife Refuge Fremont California
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91
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Robertson JM, Murphy MA, Pearl CA, Adams MJ, Páez-Vacas MI, Haig SM, Pilliod DS, Storfer A, Funk WC. Regional variation in drivers of connectivity for two frog species (Rana pretiosa and R. luteiventris) from the U.S. Pacific Northwest. Mol Ecol 2018; 27:3242-3256. [PMID: 30010212 DOI: 10.1111/mec.14798] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Revised: 06/29/2018] [Accepted: 07/05/2018] [Indexed: 01/17/2023]
Abstract
Comparative landscape genetics has uncovered high levels of variability in which landscape factors affect connectivity among species and regions. However, the relative importance of species traits versus environmental variation for predicting landscape patterns of connectivity is unresolved. We provide evidence from a landscape genetics study of two sister taxa of frogs, the Oregon spotted frog (Rana pretiosa) and the Columbia spotted frog (Rana luteiventris) in Oregon and Idaho, USA. Rana pretiosa is relatively more dependent on moisture for dispersal than R. luteiventris, so if species traits influence connectivity, we predicted that connectivity among R. pretiosa populations would be more positively associated with moisture than R. luteiventris. However, if environmental differences are important drivers of gene flow, we predicted that connectivity would be more positively related to moisture in arid regions. We tested these predictions using eight microsatellite loci and gravity models in two R. pretiosa regions and four R. luteiventris regions (n = 1,168 frogs). In R. pretiosa, but not R. luteiventris, connectivity was positively related to mean annual precipitation, supporting our first prediction. In contrast, connectivity was not more positively related to moisture in more arid regions. Various temperature metrics were important predictors for both species and in all regions, but the directionality of their effects varied. Therefore, the pattern of variation in drivers of connectivity was consistent with predictions based on species traits rather than on environmental variation.
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Affiliation(s)
| | - Melanie A Murphy
- Department of Ecosystem Science and Management, Program in Ecology, University of Wyoming, Laramie, WY, USA
| | - Christopher A Pearl
- U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, Corvallis, OR, USA
| | - Michael J Adams
- U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, Corvallis, OR, USA
| | - Mónica I Páez-Vacas
- Centro de Investigación de la Biodiversidad y Cambio Climático, Universidad Tecnológica Indoamérica, Quito, Ecuador
- Department of Biology, Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA
| | - Susan M Haig
- U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, Corvallis, OR, USA
| | - David S Pilliod
- U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, Boise, ID, USA
| | - Andrew Storfer
- School of Biological Sciences, Washington State University, Pullman, WA, USA
| | - W Chris Funk
- Department of Biology, Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA
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92
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Miles LS, Johnson JC, Dyer RJ, Verrelli BC. Urbanization as a facilitator of gene flow in a human health pest. Mol Ecol 2018; 27:3219-3230. [PMID: 29972610 DOI: 10.1111/mec.14783] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 03/16/2018] [Accepted: 04/11/2018] [Indexed: 01/04/2023]
Abstract
Urban fragmentation can reduce gene flow that isolates populations, reduces genetic diversity and increases population differentiation, all of which have negative conservation implications. Alternatively, gene flow may actually be increased among urban areas consistent with an urban facilitation model. In fact, urban adapter pests are able to thrive in the urban environment and may be experiencing human-mediated transport. Here, we used social network theory with a population genetic approach to investigate the impact of urbanization on genetic connectivity in the Western black widow spider, as an urban pest model of human health concern. We collected genomewide single nucleotide polymorphism variation from mitochondrial and nuclear double-digest RAD (ddRAD) sequence data sets from 210 individuals sampled from 11 urban and 10 nonurban locales across its distribution of the Western United States. From urban and nonurban contrasts of population, phylogenetic, and network analyses, urban locales have higher within-population genetic diversity, lower between-population genetic differentiation and higher estimates of genetic connectivity. Social network analyses show that urban locales not only have more connections, but can act as hubs that drive connectivity among nonurban locales, which show signatures of historical isolation. These results are consistent with an urban facilitation model of gene flow and demonstrate the importance of sampling multiple cities and markers to identify the role that urbanization has had on larger spatial scales. As the urban landscape continues to grow, this approach will help determine what factors influence the spread and adaptation of pests, like the venomous black widow spider, in building policies for human and biodiversity health.
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Affiliation(s)
- Lindsay S Miles
- Center for Life Sciences Education, Virginia Commonwealth University, Richmond, Virginia
- Integrative Life Sciences Doctoral Program, Virginia Commonwealth University, Richmond, Virginia
| | - J Chadwick Johnson
- Division of Mathematical and Natural Sciences, Arizona State University at the West Campus, Glendale, Arizona
| | - Rodney J Dyer
- Center for Environmental Studies, Virginia Commonwealth University, Richmond, Virginia
| | - Brian C Verrelli
- Center for Life Sciences Education, Virginia Commonwealth University, Richmond, Virginia
- Department of Biology, Virginia Commonwealth University, Richmond, Virginia
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93
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Analysis of genetic diversity in a peatland specialist butterfly suggests an important role for habitat quality and small habitat patches. CONSERV GENET 2018. [DOI: 10.1007/s10592-018-1082-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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94
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Barrantes-Infante BL, Schroeder BK, Subbotin SA, Murray TD. Afrina sporoboliae sp. n. (Nematoda: Anguinidae) Associated with Sporobolus cryptandrus from Idaho, United States: Phylogenetic Relationships and Population Structure. PHYTOPATHOLOGY 2018; 108:768-779. [PMID: 29327647 DOI: 10.1094/phyto-12-17-0395-r] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The dropseed gall-forming nematode, Afrina sporoboliae sp. n., is described from seed galls of Sporobolus cryptandrus (Poaceae: Chloridoideae: Sporobolinae) collected in Idaho, USA. This is the third report of an Afrina species in North America and the first report of this genus in a natural plant population on this continent. Morphological, morphometric, and molecular analyses placed this nematode in genus Afrina and demonstrated that it differs from Afrina hyparrheniae and Afrina spermophaga by having longer body and stylet lengths for females and males, and from Afrina wevelli by the absence of tip irregularities on the tails of female and presence of lips noticeably protruding beyond the body contour. The new species has several characters that overlap with Afrina tumefaciens, but differs from this species by inducing seed galls, whereas Afrina tumefaciens induces ovoid galls on stems, leaves, and in flower heads. Evolutionary relationships of Afrina sporoboliae sp. n. with other representatives of the family Anguinidae are presented based on analysis of the internal transcribed spacer (ITS)1-5.8S-ITS2 rRNA and the D2-D3 regions of the rRNA genes. Analysis of 270 sequences of the cox1 gene from 25 populations of Afrina sporoboliae sp. n. revealed seven haplotypes with sequence divergence up to 5%. This study did not demonstrate a significant positive relationship between genetic difference and geographic distance. Seed gall nematodes are important quarantine pests in many countries. The association of this and other seed gall nematodes with Rathayibacter species and their ability to serve as vectors, especially of R. toxicus, is of concern for U.S. agriculture.
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Affiliation(s)
- Bianca L Barrantes-Infante
- First and fourth authors: Department of Plant Pathology, Washington State University, Pullman 99164-6430; second author: Department of Entomology, Plant Pathology and Nematology, University of Idaho, Moscow 83844-2329; and third author: California Department of Food and Agriculture, Plant Pest Diagnostic Center, 3294 Meadowview Road, Sacramento 95832, and Center of Parasitology of A.N. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences, Leninskii Prospect 33, Moscow, 117071, Russia
| | - Brenda K Schroeder
- First and fourth authors: Department of Plant Pathology, Washington State University, Pullman 99164-6430; second author: Department of Entomology, Plant Pathology and Nematology, University of Idaho, Moscow 83844-2329; and third author: California Department of Food and Agriculture, Plant Pest Diagnostic Center, 3294 Meadowview Road, Sacramento 95832, and Center of Parasitology of A.N. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences, Leninskii Prospect 33, Moscow, 117071, Russia
| | - Sergei A Subbotin
- First and fourth authors: Department of Plant Pathology, Washington State University, Pullman 99164-6430; second author: Department of Entomology, Plant Pathology and Nematology, University of Idaho, Moscow 83844-2329; and third author: California Department of Food and Agriculture, Plant Pest Diagnostic Center, 3294 Meadowview Road, Sacramento 95832, and Center of Parasitology of A.N. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences, Leninskii Prospect 33, Moscow, 117071, Russia
| | - Timothy D Murray
- First and fourth authors: Department of Plant Pathology, Washington State University, Pullman 99164-6430; second author: Department of Entomology, Plant Pathology and Nematology, University of Idaho, Moscow 83844-2329; and third author: California Department of Food and Agriculture, Plant Pest Diagnostic Center, 3294 Meadowview Road, Sacramento 95832, and Center of Parasitology of A.N. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences, Leninskii Prospect 33, Moscow, 117071, Russia
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95
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Berkman LK, Nielsen CK, Roy CL, Heist EJ. A landscape genetic analysis of swamp rabbits (Sylvilagus aquaticus) suggests forest canopy cover enhances gene flow in an agricultural matrix. CAN J ZOOL 2018. [DOI: 10.1139/cjz-2017-0116] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Habitat loss and fragmentation pose a continued and immediate threat to wildlife and create a persistent need for ecological information at the landscape scale to guide conservation efforts. Landscape features influence population connectivity for many species and genetic analyses can be employed to determine which of these features are most important. Because population connectivity through dispersal is important to the persistence of swamp rabbits (Sylvilagus aquaticus (Bachman, 1837)) at the northern edge of their range, we used a landscape genetic approach to relate gene flow to landscape features that may impact dispersal success. We tested resistance values for attributes of land cover, watercourse corridors, canopy cover, and roads and used causal modeling and redundancy analysis to relate these representations of landscapes to genetic distance for swamp rabbits in southern Illinois, USA. Models that included canopy cover had the strongest correlations with genetic distance and were supported by our methods whereas other models were not. We concluded that high tree canopy cover enhances gene flow and landscape connectivity for swamp rabbits in southern Illinois. Our study provides important empirical evidence that landscape variables may impact the habitat connectivity of swamp rabbits. Preserving dispersal routes for swamp rabbits should focus on improving canopy cover, in both bottomland and upland, to connect suitable habitat.
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Affiliation(s)
- Leah K. Berkman
- Cooperative Wildlife Research Laboratory, Department of Zoology, Southern Illinois University, Carbondale, IL 62901-6504, USA
| | - Clayton K. Nielsen
- Cooperative Wildlife Research Laboratory, Department of Forestry, Southern Illinois University, Carbondale, IL 62901-6504, USA
| | - Charlotte L. Roy
- Forest Wildlife Populations and Research Group, Minnesota Department of Natural Resources, Grand Rapids, MN 55744, USA
| | - Edward J. Heist
- Department of Zoology, Southern Illinois University, Carbondale, IL 62901-6501, USA
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96
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Ahrens CW, Rymer PD, Stow A, Bragg J, Dillon S, Umbers KDL, Dudaniec RY. The search for loci under selection: trends, biases and progress. Mol Ecol 2018. [PMID: 29524276 DOI: 10.1111/mec.14549] [Citation(s) in RCA: 134] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Detecting genetic variants under selection using FST outlier analysis (OA) and environmental association analyses (EAAs) are popular approaches that provide insight into the genetic basis of local adaptation. Despite the frequent use of OA and EAA approaches and their increasing attractiveness for detecting signatures of selection, their application to field-based empirical data have not been synthesized. Here, we review 66 empirical studies that use Single Nucleotide Polymorphisms (SNPs) in OA and EAA. We report trends and biases across biological systems, sequencing methods, approaches, parameters, environmental variables and their influence on detecting signatures of selection. We found striking variability in both the use and reporting of environmental data and statistical parameters. For example, linkage disequilibrium among SNPs and numbers of unique SNP associations identified with EAA were rarely reported. The proportion of putatively adaptive SNPs detected varied widely among studies, and decreased with the number of SNPs analysed. We found that genomic sampling effort had a greater impact than biological sampling effort on the proportion of identified SNPs under selection. OA identified a higher proportion of outliers when more individuals were sampled, but this was not the case for EAA. To facilitate repeatability, interpretation and synthesis of studies detecting selection, we recommend that future studies consistently report geographical coordinates, environmental data, model parameters, linkage disequilibrium, and measures of genetic structure. Identifying standards for how OA and EAA studies are designed and reported will aid future transparency and comparability of SNP-based selection studies and help to progress landscape and evolutionary genomics.
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Affiliation(s)
- Collin W Ahrens
- Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, Australia
| | - Paul D Rymer
- Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, Australia
| | - Adam Stow
- Department of Biological Sciences, Macquarie University, Sydney, NSW, Australia
| | - Jason Bragg
- National Herbarium of New South Wales, The Royal Botanic Gardens and Domain Trust, Sydney, NSW, Australia
| | - Shannon Dillon
- Diversity and Adaptation, CSIRO Agriculture and Food, Canberra, ACT, Australia
| | - Kate D L Umbers
- Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, Australia.,School of Science and Health, Western Sydney University, Richmond, NSW, Australia
| | - Rachael Y Dudaniec
- Department of Biological Sciences, Macquarie University, Sydney, NSW, Australia
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97
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Storfer A, Patton A, Fraik AK. Navigating the Interface Between Landscape Genetics and Landscape Genomics. Front Genet 2018; 9:68. [PMID: 29593776 PMCID: PMC5859105 DOI: 10.3389/fgene.2018.00068] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Accepted: 02/15/2018] [Indexed: 11/13/2022] Open
Abstract
As next-generation sequencing data become increasingly available for non-model organisms, a shift has occurred in the focus of studies of the geographic distribution of genetic variation. Whereas landscape genetics studies primarily focus on testing the effects of landscape variables on gene flow and genetic population structure, landscape genomics studies focus on detecting candidate genes under selection that indicate possible local adaptation. Navigating the transition between landscape genomics and landscape genetics can be challenging. The number of molecular markers analyzed has shifted from what used to be a few dozen loci to thousands of loci and even full genomes. Although genome scale data can be separated into sets of neutral loci for analyses of gene flow and population structure and putative loci under selection for inference of local adaptation, there are inherent differences in the questions that are addressed in the two study frameworks. We discuss these differences and their implications for study design, marker choice and downstream analysis methods. Similar to the rapid proliferation of analysis methods in the early development of landscape genetics, new analytical methods for detection of selection in landscape genomics studies are burgeoning. We focus on genome scan methods for detection of selection, and in particular, outlier differentiation methods and genetic-environment association tests because they are the most widely used. Use of genome scan methods requires an understanding of the potential mismatches between the biology of a species and assumptions inherent in analytical methods used, which can lead to high false positive rates of detected loci under selection. Key to choosing appropriate genome scan methods is an understanding of the underlying demographic structure of study populations, and such data can be obtained using neutral loci from the generated genome-wide data or prior knowledge of a species' phylogeographic history. To this end, we summarize recent simulation studies that test the power and accuracy of genome scan methods under a variety of demographic scenarios and sampling designs. We conclude with a discussion of additional considerations for future method development, and a summary of methods that show promise for landscape genomics studies but are not yet widely used.
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Affiliation(s)
- Andrew Storfer
- School of Biological Sciences, Washington State University, Pullman, WA, United States
| | - Austin Patton
- School of Biological Sciences, Washington State University, Pullman, WA, United States
| | - Alexandra K Fraik
- School of Biological Sciences, Washington State University, Pullman, WA, United States
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98
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Hemming-Schroeder E, Lo E, Salazar C, Puente S, Yan G. Landscape Genetics: A Toolbox for Studying Vector-Borne Diseases. Front Ecol Evol 2018. [DOI: 10.3389/fevo.2018.00021] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
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99
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Balbi M, Ernoult A, Poli P, Madec L, Guiller A, Martin MC, Nabucet J, Beaujouan V, Petit EJ. Functional connectivity in replicated urban landscapes in the land snail (Cornu aspersum). Mol Ecol 2018; 27:1357-1370. [PMID: 29412498 DOI: 10.1111/mec.14521] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 01/16/2018] [Accepted: 01/29/2018] [Indexed: 12/11/2022]
Abstract
Urban areas are highly fragmented and thereby exert strong constraints on individual dispersal. Despite this, some species manage to persist in urban areas, such as the garden snail, Cornu aspersum, which is common in cityscapes despite its low mobility. Using landscape genetic approaches, we combined study area replication and multiscale analysis to determine how landscape composition, configuration and connectivity influence snail dispersal across urban areas. At the overall landscape scale, areas with a high percentage of roads decreased genetic differentiation between populations. At the population scale, genetic differentiation was positively linked with building surface, the proportion of borders where wooded patches and roads appeared side by side and the proportion of borders combining wooded patches and other impervious areas. Analyses based on pairwise genetic distances validated the isolation-by-distance and isolation-by-resistance models for this land snail, with an equal fit to least-cost paths and circuit-theory-based models. Each of the 12 landscapes analysed separately yielded specific relations to environmental features, whereas analyses integrating all replicates highlighted general common effects. Our results suggest that urban transport infrastructures facilitate passive snail dispersal. At a local scale, corresponding to active dispersal, unfavourable habitats (wooded and impervious areas) isolate populations. This work upholds the use of replicated landscapes to increase the generalizability of landscape genetics results and shows how multiscale analyses provide insight into scale-dependent processes.
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Affiliation(s)
- Manon Balbi
- UMR 6553 Ecosystems, Biodiversity, Evolution (Ecobio), CNRS, Université Rennes 1, Rennes, France
| | - Aude Ernoult
- UMR 6553 Ecosystems, Biodiversity, Evolution (Ecobio), CNRS, Université Rennes 1, Rennes, France
| | - Pedro Poli
- UMR 6553 Ecosystems, Biodiversity, Evolution (Ecobio), CNRS, Université Rennes 1, Rennes, France
| | - Luc Madec
- UMR 6553 Ecosystems, Biodiversity, Evolution (Ecobio), CNRS, Université Rennes 1, Rennes, France
| | - Annie Guiller
- Edysan FRE 3498, CNRS, Université de Picardie Jules Vernes, Amiens, France
| | - Marie-Claire Martin
- UMR 6553 Ecosystems, Biodiversity, Evolution (Ecobio), CNRS, Université Rennes 1, Rennes, France
| | - Jean Nabucet
- UMR LETG, CNRS, Université de Rennes 2, Rennes Cedex, France
| | | | - Eric J Petit
- ESE, Ecology and Ecosystem Health, INRA, Rennes, France
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Peterman WE. ResistanceGA: An R package for the optimization of resistance surfaces using genetic algorithms. Methods Ecol Evol 2018. [DOI: 10.1111/2041-210x.12984] [Citation(s) in RCA: 144] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- William E. Peterman
- School of Environment and Natural ResourcesThe Ohio State University Columbus OH USA
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