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Stahlke AR, Bitume EV, Özsoy ZA, Bean DW, Veillet A, Clark MI, Clark EI, Moran P, Hufbauer RA, Hohenlohe PA. Hybridization and range expansion in tamarisk beetles ( Diorhabda spp.) introduced to North America for classical biological control. Evol Appl 2022; 15:60-77. [PMID: 35126648 PMCID: PMC8792477 DOI: 10.1111/eva.13325] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 11/05/2021] [Accepted: 11/08/2021] [Indexed: 01/31/2023] Open
Abstract
With the global rise of human-mediated translocations and invasions, it is critical to understand the genomic consequences of hybridization and mechanisms of range expansion. Conventional wisdom is that high genetic drift and loss of genetic diversity due to repeated founder effects will constrain introduced species. However, reduced genetic variation can be countered by behavioral aspects and admixture with other distinct populations. As planned invasions, classical biological control (biocontrol) agents present important opportunities to understand the mechanisms of establishment and spread in a novel environment. The ability of biocontrol agents to spread and adapt, and their effects on local ecosystems, depends on genomic variation and the consequences of admixture in novel environments. Here, we use a biocontrol system to examine the genome-wide outcomes of introduction, spread, and hybridization in four cryptic species of a biocontrol agent, the tamarisk beetle (Diorhabda carinata, D. carinulata, D. elongata, and D. sublineata), introduced from six localities across Eurasia to control the invasive shrub tamarisk (Tamarix spp.) in western North America. We assembled a de novo draft reference genome and applied RADseq to over 500 individuals across laboratory cultures, the native ranges, and the introduced range. Despite evidence of a substantial genetic bottleneck among D. carinulata in N. America, populations continue to establish and spread, possibly due to aggregation behavior. We found that D. carinata, D. elongata, and D. sublineata hybridize in the field to varying extents, with D. carinata × D. sublineata hybrids being the most abundant. Genetic diversity was greater at sites with hybrids, highlighting potential for increased ability to adapt and expand. Our results demonstrate the complex patterns of genomic variation that can result from introduction of multiple ecotypes or species for biocontrol, and the importance of understanding them to predict and manage the effects of biocontrol agents in novel ecosystems.
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Affiliation(s)
- Amanda R. Stahlke
- Initiative for Bioinformatics and Evolutionary StudiesDepartment of Biological SciencesUniversity of IdahoMoscowIdahoUSA
- U.S. Department of Agriculture, Agricultural Research Service (USDA‐ARS)Beltsville Agricultural Research Center, Bee Research LaboratoryBeltsvilleMarylandUSA
| | - Ellyn V. Bitume
- U.S. Department of Agriculture, Agricultural Research Service (USDA‐ARS), Invasive Species and Pollinator Health Research UnitAlbanyCaliforniaUSA
- U.S. Department of Agriculture, Forest Service (USDA‐FS), Pacific Southwest, Institute of Pacific Islands ForestryHiloHawaiiUSA
| | - Zeynep A. Özsoy
- Department of Biological SciencesColorado Mesa UniversityGrand JunctionColoradoUSA
| | - Dan W. Bean
- Colorado Department of AgriculturePalisadeColoradoUSA
| | - Anne Veillet
- Initiative for Bioinformatics and Evolutionary StudiesDepartment of Biological SciencesUniversity of IdahoMoscowIdahoUSA
| | - Meaghan I. Clark
- Department of Integrative BiologyMichigan State UniversityEast LansingMichiganUSA
| | - Eliza I. Clark
- Agricultural BiologyColorado State UniversityFort CollinsColoradoUSA
- Graduate Degree Program in EcologyColorado State UniversityFort CollinsColoradoUSA
| | - Patrick Moran
- U.S. Department of Agriculture, Agricultural Research Service (USDA‐ARS), Invasive Species and Pollinator Health Research UnitAlbanyCaliforniaUSA
| | - Ruth A. Hufbauer
- Agricultural BiologyColorado State UniversityFort CollinsColoradoUSA
- Graduate Degree Program in EcologyColorado State UniversityFort CollinsColoradoUSA
| | - Paul A. Hohenlohe
- Initiative for Bioinformatics and Evolutionary StudiesDepartment of Biological SciencesUniversity of IdahoMoscowIdahoUSA
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Schweizer RM, Saarman N, Ramstad KM, Forester BR, Kelley JL, Hand BK, Malison RL, Ackiss AS, Watsa M, Nelson TC, Beja-Pereira A, Waples RS, Funk WC, Luikart G. Big Data in Conservation Genomics: Boosting Skills, Hedging Bets, and Staying Current in the Field. J Hered 2021; 112:313-327. [PMID: 33860294 DOI: 10.1093/jhered/esab019] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 04/13/2021] [Indexed: 02/07/2023] Open
Abstract
A current challenge in the fields of evolutionary, ecological, and conservation genomics is balancing production of large-scale datasets with additional training often required to handle such datasets. Thus, there is an increasing need for conservation geneticists to continually learn and train to stay up-to-date through avenues such as symposia, meetings, and workshops. The ConGen meeting is a near-annual workshop that strives to guide participants in understanding population genetics principles, study design, data processing, analysis, interpretation, and applications to real-world conservation issues. Each year of ConGen gathers a diverse set of instructors, students, and resulting lectures, hands-on sessions, and discussions. Here, we summarize key lessons learned from the 2019 meeting and more recent updates to the field with a focus on big data in conservation genomics. First, we highlight classical and contemporary issues in study design that are especially relevant to working with big datasets, including the intricacies of data filtering. We next emphasize the importance of building analytical skills and simulating data, and how these skills have applications within and outside of conservation genetics careers. We also highlight recent technological advances and novel applications to conservation of wild populations. Finally, we provide data and recommendations to support ongoing efforts by ConGen organizers and instructors-and beyond-to increase participation of underrepresented minorities in conservation and eco-evolutionary sciences. The future success of conservation genetics requires both continual training in handling big data and a diverse group of people and approaches to tackle key issues, including the global biodiversity-loss crisis.
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Affiliation(s)
- Rena M Schweizer
- Division of Biological Sciences, University of Montana, Missoula, MT
| | - Norah Saarman
- Department of Biology, Utah State University, Logan, UT
| | - Kristina M Ramstad
- Department of Biology and Geology, University of South Carolina Aiken, Aiken, SC
| | | | - Joanna L Kelley
- School of Biological Sciences, Washington State University, Pullman, WA
| | - Brian K Hand
- Division of Biological Sciences, University of Montana, Missoula, MT.,Flathead Lake Biological Station, University of Montana, Polson, MT
| | - Rachel L Malison
- Flathead Lake Biological Station, University of Montana, Polson, MT
| | - Amanda S Ackiss
- Wisconsin Cooperative Fishery Research Unit, University of Wisconsin Stevens Point, Stevens Point, WI
| | | | | | - Albano Beja-Pereira
- Centro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO-UP), InBIO, Universidade do Porto, Vairão, Portugal.,DGAOT, Faculty of Sciences, University of Porto, Porto, Portugal.,Sustainable Agrifood Production Research Centre (GreenUPorto), Faculty of Sciences, University of Porto, Porto, Portugal
| | - Robin S Waples
- Northwest Fisheries Science Center, NOAA Fisheries, Seattle, WA
| | - W Chris Funk
- Department of Biology, Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO
| | - Gordon Luikart
- Division of Biological Sciences, University of Montana, Missoula, MT.,Flathead Lake Biological Station, University of Montana, Polson, MT
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