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Chen Z, Grossfurthner L, Loxterman JL, Masingale J, Richardson BA, Seaborn T, Smith B, Waits LP, Narum SR. Applying genomics in assisted migration under climate change: Framework, empirical applications, and case studies. Evol Appl 2022; 15:3-21. [PMID: 35126645 PMCID: PMC8792483 DOI: 10.1111/eva.13335] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 11/18/2021] [Accepted: 12/01/2021] [Indexed: 12/01/2022] Open
Abstract
The rate of global climate change is projected to outpace the ability of many natural populations and species to adapt. Assisted migration (AM), which is defined as the managed movement of climate-adapted individuals within or outside the species ranges, is a conservation option to improve species' adaptive capacity and facilitate persistence. Although conservation biologists have long been using genetic tools to increase or maintain diversity of natural populations, genomic techniques could add extra benefit in AM that include selectively neutral and adaptive regions of the genome. In this review, we first propose a framework along with detailed procedures to aid collaboration among scientists, agencies, and local and regional managers during the decision-making process of genomics-guided AM. We then summarize the genomic approaches for applying AM, followed by a literature search of existing incorporation of genomics in AM across taxa. Our literature search initially identified 729 publications, but after filtering returned only 50 empirical studies that were either directly applied or considered genomics in AM related to climate change across taxa of plants, terrestrial animals, and aquatic animals; 42 studies were in plants. This demonstrated limited application of genomic methods in AM in organisms other than plants, so we provide further case studies as two examples to demonstrate the negative impact of climate change on non-model species and how genomics could be applied in AM. With the rapidly developing sequencing technology and accumulating genomic data, we expect to see more successful applications of genomics in AM, and more broadly, in the conservation of biodiversity.
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Affiliation(s)
- Zhongqi Chen
- Aquaculture Research InstituteUniversity of IdahoHagermanIdahoUSA
| | - Lukas Grossfurthner
- Bioinformatics and Computational Biology Graduate ProgramUniversity of IdahoHagermanIdahoUSA
| | - Janet L. Loxterman
- Department of Biological SciencesIdaho State UniversityPocatelloIdahoUSA
| | | | | | - Travis Seaborn
- Department of Fish and Wildlife ResourcesUniversity of IdahoMoscowIdahoUSA
| | - Brandy Smith
- Department of Biological SciencesIdaho State UniversityPocatelloIdahoUSA
| | - Lisette P. Waits
- Department of Fish and Wildlife ResourcesUniversity of IdahoMoscowIdahoUSA
| | - Shawn R. Narum
- Columbia River Inter‐Tribal Fish CommissionHagermanIdahoUSA
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Genetic Diversity and Divergence among Bighorn Sheep from Reintroduced Herds in Washington and Idaho. J Wildl Manage 2021. [DOI: 10.1002/jwmg.22065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Spaan RS, Epps CW, Crowhurst R, Whittaker D, Cox M, Duarte A. Impact of Mycoplasma ovipneumoniae on juvenile bighorn sheep ( Ovis canadensis) survival in the northern Basin and Range ecosystem. PeerJ 2021; 9:e10710. [PMID: 33552728 PMCID: PMC7821761 DOI: 10.7717/peerj.10710] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 12/15/2020] [Indexed: 11/20/2022] Open
Abstract
Determining the demographic impacts of wildlife disease is complex because extrinsic and intrinsic drivers of survival, reproduction, body condition, and other factors that may interact with disease vary widely. Mycoplasma ovipneumoniae infection has been linked to persistent mortality in juvenile bighorn sheep (Ovis canadensis), although mortality appears to vary widely across subspecies, populations, and outbreaks. Hypotheses for that variation range from interactions with nutrition, population density, genetic variation in the pathogen, genetic variation in the host, and other factors. We investigated factors related to survival of juvenile bighorn sheep in reestablished populations in the northern Basin and Range ecosystem, managed as the formerly-recognized California subspecies (hereafter, "California lineage"). We investigated whether survival probability of 4-month juveniles would vary by (1) presence of M. ovipneumoniae-infected or exposed individuals in populations, (2) population genetic diversity, and (3) an index of forage suitability. We monitored 121 juveniles across a 3-year period in 13 populations in southeastern Oregon and northern Nevada. We observed each juvenile and GPS-collared mother semi-monthly and established 4-month capture histories for the juvenile to estimate survival. All collared adult females were PCR-tested at least once for M. ovipneumoniae infection. The presence of M. ovipneumoniae-infected juveniles was determined by observing juvenile behavior and PCR-testing dead juveniles. We used a known-fate model with different time effects to determine if the probability of survival to 4 months varied temporally or was influenced by disease or other factors. We detected dead juveniles infected with M. ovipneumoniae in only two populations. Derived juvenile survival probability at four months in populations where infected juveniles were not detected was more than 20 times higher. Detection of infected adults or adults with antibody levels suggesting prior exposure was less predictive of juvenile survival. Survival varied temporally but was not strongly influenced by population genetic diversity or nutrition, although genetic diversity within most study area populations was very low. We conclude that the presence of M. ovipneumoniae can cause extremely low juvenile survival probability in translocated bighorn populations of the California lineage, but found little influence that genetic diversity or nutrition affect juvenile survival. Yet, after the PCR+ adult female in one population died, subsequent observations found 11 of 14 ( 79%) collared adult females had surviving juveniles at 4-months, suggesting that targeted removals of infected adults should be evaluated as a management strategy.
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Affiliation(s)
- Robert S. Spaan
- Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America
| | - Clinton W. Epps
- Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America
| | - Rachel Crowhurst
- Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America
| | - Donald Whittaker
- Oregon Department of Fish and Wildlife, Salem, OR, United States of America
| | - Mike Cox
- Nevada Department of Wildlife, Reno, NV, United States of America
| | - Adam Duarte
- Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America
- Pacific Northwest Research Station, USDA Forest Service, Olympia, WA, United States of America
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Flesch EP, Graves TA, Thomson JM, Proffitt KM, White PJ, Stephenson TR, Garrott RA. Evaluating wildlife translocations using genomics: A bighorn sheep case study. Ecol Evol 2020; 10:13687-13704. [PMID: 33391673 PMCID: PMC7771163 DOI: 10.1002/ece3.6942] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 08/12/2020] [Accepted: 09/25/2020] [Indexed: 01/10/2023] Open
Abstract
Wildlife restoration often involves translocation efforts to reintroduce species and supplement small, fragmented populations. We examined the genomic consequences of bighorn sheep (Ovis canadensis) translocations and population isolation to enhance understanding of evolutionary processes that affect population genetics and inform future restoration strategies. We conducted a population genomic analysis of 511 bighorn sheep from 17 areas, including native and reintroduced populations that received 0-10 translocations. Using the Illumina High Density Ovine array, we generated datasets of 6,155 to 33,289 single nucleotide polymorphisms and completed clustering, population tree, and kinship analyses. Our analyses determined that natural gene flow did not occur between most populations, including two pairs of native herds that had past connectivity. We synthesized genomic evidence across analyses to evaluate 24 different translocation events and detected eight successful reintroductions (i.e., lack of signal for recolonization from nearby populations) and five successful augmentations (i.e., reproductive success of translocated individuals) based on genetic similarity with the source populations. A single native population founded six of the reintroduced herds, suggesting that environmental conditions did not need to match for populations to persist following reintroduction. Augmentations consisting of 18-57 animals including males and females succeeded, whereas augmentations of two males did not result in a detectable genetic signature. Our results provide insight on genomic distinctiveness of native and reintroduced herds, information on the relative success of reintroduction and augmentation efforts and their associated attributes, and guidance to enhance genetic contribution of augmentations and reintroductions to aid in bighorn sheep restoration.
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Affiliation(s)
- Elizabeth P. Flesch
- Fish and Wildlife Ecology and Management ProgramEcology DepartmentMontana State UniversityBozemanMTUSA
| | - Tabitha A. Graves
- Northern Rocky Mountain Science CenterU.S. Geological SurveyWest GlacierMTUSA
| | | | | | - P. J. White
- Yellowstone Center for ResourcesNational Park ServiceMammothWYUSA
| | - Thomas R. Stephenson
- Sierra Nevada Bighorn Sheep Recovery ProgramCalifornia Department of Fish and WildlifeBishopCAUSA
| | - Robert A. Garrott
- Fish and Wildlife Ecology and Management ProgramEcology DepartmentMontana State UniversityBozemanMTUSA
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Creech TG, Epps CW, Wehausen JD, Crowhurst RS, Jaeger JR, Longshore K, Holton B, Sloan WB, Monello RJ. Genetic and Environmental Indicators of Climate Change Vulnerability for Desert Bighorn Sheep. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.00279] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Love Stowell SM, Gagne RB, McWhirter D, Edwards W, Ernest HB. Bighorn Sheep Genetic Structure in Wyoming Reflects Geography and Management. J Wildl Manage 2020. [DOI: 10.1002/jwmg.21882] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Sierra M. Love Stowell
- Wildlife Genomics & Disease Ecology Lab, Department of Veterinary SciencesUniversity of Wyoming 1174 Snowy Range Rd Laramie WY 82070 USA
| | - Roderick B. Gagne
- Wildlife Genomics & Disease Ecology Lab, Department of Veterinary SciencesUniversity of Wyoming 1174 Snowy Range Rd Laramie WY 82070 USA
| | - Doug McWhirter
- Wyoming Game and Fish DepartmentJackson Regional Office 420 N Cache St Jackson WY 830001 USA
| | - William Edwards
- Wyoming Game and Fish DepartmentWildlife Health Laboratory 1174 Snowy Range Rd Laramie WY 82070 USA
| | - Holly B. Ernest
- Wildlife Genomics & Disease Ecology Lab, Department of Veterinary SciencesUniversity of Wyoming 1174 Snowy Range Rd Laramie WY 82070 USA
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Jahner JP, Matocq MD, Malaney JL, Cox M, Wolff P, Gritts MA, Parchman TL. The genetic legacy of 50 years of desert bighorn sheep translocations. Evol Appl 2019; 12:198-213. [PMID: 30697334 PMCID: PMC6346675 DOI: 10.1111/eva.12708] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 08/16/2018] [Accepted: 08/18/2018] [Indexed: 12/20/2022] Open
Abstract
Conservation biologists have increasingly used translocations to mitigate population declines and restore locally extirpated populations. Genetic data can guide the selection of source populations for translocations and help evaluate restoration success. Bighorn sheep (Ovis canadensis) are a managed big game species that suffered widespread population extirpations across western North America throughout the early 1900s. Subsequent translocation programs have successfully re-established many formally extirpated bighorn herds, but most of these programs pre-date genetically informed management practices. The state of Nevada presents a particularly well-documented case of decline followed by restoration of extirpated herds. Desert bighorn sheep (O. c. nelsoni) populations declined to less than 3,000 individuals restricted to remnant herds in the Mojave Desert and a few locations in the Great Basin Desert. Beginning in 1968, the Nevada Department of Wildlife translocated ~2,000 individuals from remnant populations to restore previously extirpated areas, possibly establishing herds with mixed ancestries. Here, we examined genetic diversity and structure among remnant herds and the genetic consequences of translocation from these herds using a genotyping-by-sequencing approach to genotype 17,095 loci in 303 desert bighorn sheep. We found a signal of population genetic structure among remnant Mojave Desert populations, even across geographically proximate mountain ranges. Further, we found evidence of a genetically distinct, potential relict herd from a previously hypothesized Great Basin lineage of desert bighorn sheep. The genetic structure of source herds was clearly reflected in translocated populations. In most cases, herds retained genetic evidence of multiple translocation events and subsequent admixture when founded from multiple remnant source herds. Our results add to a growing literature on how population genomic data can be used to guide and monitor restoration programs.
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Affiliation(s)
| | - Marjorie D. Matocq
- Department of Natural Resources and Environmental Science, and Program in Ecology, Evolution, and Conservation BiologyUniversity of NevadaRenoNevada
| | - Jason L. Malaney
- Department of BiologyAustin Peay State UniversityClarksvilleTennessee
| | - Mike Cox
- Nevada Department of Wildlife, and Wild Sheep Working GroupWestern Association of Fish and Wildlife AgenciesRenoNevada
| | | | | | - Thomas L. Parchman
- Department of Biology, and Program in Ecology, Evolution, and Conservation BiologyUniversity of NevadaRenoNevada
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Identification of a contact zone and hybridization for two subspecies of the American pika (Ochotona princeps) within a single protected area. PLoS One 2018; 13:e0199032. [PMID: 29995897 PMCID: PMC6040701 DOI: 10.1371/journal.pone.0199032] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Accepted: 05/30/2018] [Indexed: 12/15/2022] Open
Abstract
Genetic variation is the basis upon which natural selection acts to yield evolutionary change. In a rapidly changing environment, increasing genetic variation should increase evolutionary potential, particularly for small, isolated populations. However, the introduction of new alleles, either through natural or human-mediated processes, may have unpredictable consequences such as outbreeding depression. In this study, we identified a contact zone and limited gene flow between historically separated genetic lineages of American pikas (Ochotona princeps), representing the northern and southern Rocky Mountain subspecies, within Rocky Mountain National Park. The limited spatial extent of gene flow observed may be the result of geographic barriers to dispersal, selection against hybrid individuals, or both. Our fine-scale population genetic analysis suggests gene flow is limited but not completely obstructed by extreme topography such as glacial valleys, as well as streams including the Colorado River. The discovery of two subspecies within this single protected area has implications for monitoring and management, particularly in the light of recent analyses suggesting that the pikas in this park are vulnerable to fragmentation and local extinction under future projected climates. Future research should focus on the fitness consequences of introgression among distinct genetic lineages in this location and elsewhere, as well as within the context of genetic rescue as a conservation and management strategy for a climate sensitive species.
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