1
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Coelho JFR, Mendes LDF, Di Dario F, Carvalho PH, Dias RM, Lima SMQ, Verba JT, Pereira RJ. Integration of genomic and ecological methods inform management of an undescribed, yet highly exploited, sardine species. Proc Biol Sci 2024; 291:20232746. [PMID: 38444338 PMCID: PMC10915539 DOI: 10.1098/rspb.2023.2746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 02/06/2024] [Indexed: 03/07/2024] Open
Abstract
Assessing genetic diversity within species is key for conservation strategies in the context of human-induced biotic changes. This is important in marine systems, where many species remain undescribed while being overfished, and conflicts between resource-users and conservation agencies are common. Combining niche modelling with population genomics can contribute to resolving those conflicts by identifying management units and understanding how past climatic cycles resulted in current patterns of genetic diversity. We addressed these issues on an undescribed but already overexploited species of sardine of the genus Harengula. We find that the species distribution is determined by salinity and depth, with a continuous distribution along the Brazilian mainland and two disconnected oceanic archipelagos. Genomic data indicate that such biogeographic barriers are associated with two divergent intraspecific lineages. Changes in habitat availability during the last glacial cycle led to different demographic histories among stocks. One coastal population experienced a 3.6-fold expansion, whereas an island-associated population contracted 3-fold, relative to the size of the ancestral population. Our results indicate that the island population should be managed separately from the coastal population, and that a Marine Protected Area covering part of the island population distribution can support the viability of this lineage.
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Affiliation(s)
- Jéssica Fernanda Ramos Coelho
- Departamento de Botânica e Zoologia, Universidade Federal do Rio Grande do Norte, Avenida Senador Salgado Filho S/N, Campus Universitário, 59078-970, Natal/RN, Brazil
| | - Liana de Figueiredo Mendes
- Departamento de Ecologia, Universidade Federal do Rio Grande do Norte, Avenida Senador Salgado Filho S/N, Campus Universitário, 59078-970, Natal/RN, Brazil
| | - Fabio Di Dario
- Instituto de Biodiversidade e Sustentabilidade - Universidade Federal do Rio de Janeiro, Avenida São José do Barreto, 764, 27965-045, Macaé/RJ, Brazil
| | - Pedro Hollanda Carvalho
- Instituto de Biodiversidade e Sustentabilidade - Universidade Federal do Rio de Janeiro, Avenida São José do Barreto, 764, 27965-045, Macaé/RJ, Brazil
| | - Ricardo Marques Dias
- Museu Nacional, Universidade Federal do Rio de Janeiro, Quinta da Boa Vista - São Cristóvão, 20940-040, Rio de Janeiro/RJ, Brazil
| | - Sergio Maia Queiroz Lima
- Departamento de Botânica e Zoologia, Universidade Federal do Rio Grande do Norte, Avenida Senador Salgado Filho S/N, Campus Universitário, 59078-970, Natal/RN, Brazil
| | - Julia Tovar Verba
- Evolutionary Biology, Ludwig Maximilian University of Munich, Grosshaderner Strasse 2, 82152, Planegg-Martinsried, Germany
| | - Ricardo J. Pereira
- Evolutionary Biology, Ludwig Maximilian University of Munich, Grosshaderner Strasse 2, 82152, Planegg-Martinsried, Germany
- Department of Zoology, State Museum of Natural History Stuttgart, Rosenstein 1–3, 70191, Stuttgart, Germany
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2
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Bernatchez L, Ferchaud AL, Berger CS, Venney CJ, Xuereb A. Genomics for monitoring and understanding species responses to global climate change. Nat Rev Genet 2024; 25:165-183. [PMID: 37863940 DOI: 10.1038/s41576-023-00657-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/29/2023] [Indexed: 10/22/2023]
Abstract
All life forms across the globe are experiencing drastic changes in environmental conditions as a result of global climate change. These environmental changes are happening rapidly, incur substantial socioeconomic costs, pose threats to biodiversity and diminish a species' potential to adapt to future environments. Understanding and monitoring how organisms respond to human-driven climate change is therefore a major priority for the conservation of biodiversity in a rapidly changing environment. Recent developments in genomic, transcriptomic and epigenomic technologies are enabling unprecedented insights into the evolutionary processes and molecular bases of adaptation. This Review summarizes methods that apply and integrate omics tools to experimentally investigate, monitor and predict how species and communities in the wild cope with global climate change, which is by genetically adapting to new environmental conditions, through range shifts or through phenotypic plasticity. We identify advantages and limitations of each method and discuss future research avenues that would improve our understanding of species' evolutionary responses to global climate change, highlighting the need for holistic, multi-omics approaches to ecosystem monitoring during global climate change.
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Affiliation(s)
- Louis Bernatchez
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Quebec City, Quebec, Canada
| | - Anne-Laure Ferchaud
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Quebec City, Quebec, Canada.
- Parks Canada, Office of the Chief Ecosystem Scientist, Protected Areas Establishment, Quebec City, Quebec, Canada.
| | - Chloé Suzanne Berger
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Quebec City, Quebec, Canada
| | - Clare J Venney
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Quebec City, Quebec, Canada
| | - Amanda Xuereb
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Quebec City, Quebec, Canada
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3
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Díaz-Arce N, Gagnaire PA, Richardson DE, Walter JF, Arnaud-Haond S, Fromentin JM, Brophy D, Lutcavage M, Addis P, Alemany F, Allman R, Deguara S, Fraile I, Goñi N, Hanke AR, Karakulak FS, Pacicco A, Quattro JM, Rooker JR, Arrizabalaga H, Rodríguez-Ezpeleta N. Unidirectional trans-Atlantic gene flow and a mixed spawning area shape the genetic connectivity of Atlantic bluefin tuna. Mol Ecol 2024; 33:e17188. [PMID: 37921120 DOI: 10.1111/mec.17188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 10/02/2023] [Accepted: 10/19/2023] [Indexed: 11/04/2023]
Abstract
The commercially important Atlantic bluefin tuna (Thunnus thynnus), a large migratory fish, has experienced notable recovery aided by accurate resource assessment and effective fisheries management efforts. Traditionally, this species has been perceived as consisting of eastern and western populations, spawning respectively in the Mediterranean Sea and the Gulf of Mexico, with mixing occurring throughout the Atlantic. However, recent studies have challenged this assumption by revealing weak genetic differentiation and identifying a previously unknown spawning ground in the Slope Sea used by Atlantic bluefin tuna of uncertain origin. To further understand the current and past population structure and connectivity of Atlantic bluefin tuna, we have assembled a unique dataset including thousands of genome-wide single-nucleotide polymorphisms (SNPs) from 500 larvae, young of the year and spawning adult samples covering the three spawning grounds and including individuals of other Thunnus species. Our analyses support two weakly differentiated but demographically connected ancestral populations that interbreed in the Slope Sea. Moreover, we also identified signatures of introgression from albacore (Thunnus alalunga) into the Atlantic bluefin tuna genome, exhibiting varied frequencies across spawning areas, indicating strong gene flow from the Mediterranean Sea towards the Slope Sea. We hypothesize that the observed genetic differentiation may be attributed to increased gene flow caused by a recent intensification of westward migration by the eastern population, which could have implications for the genetic diversity and conservation of western populations. Future conservation efforts should consider these findings to address potential genetic homogenization in the species.
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Affiliation(s)
- Natalia Díaz-Arce
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Sukarrieta, Spain
| | | | - David E Richardson
- Northeast Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration (NOAA), Narragansett, Rhode Island, USA
| | - John F Walter
- Southeast Fisheries Sciences Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration (NOAA), Miami, Florida, USA
| | | | | | - Deirdre Brophy
- Marine and Freshwater Research Center, Atlantic Technological University (ATU), Galway City, Ireland
| | - Molly Lutcavage
- Large Pelagics Research Center, School for the Environment, University of Massachusetts Boston, Gloucester, Massachusetts, USA
| | - Piero Addis
- Department of Environmental and Life Science, University of Cagliari, Cagliari, Italy
| | - Francisco Alemany
- International Commission for the Conservation of Atlantic Tunas, GBYP, Madrid, Spain
| | - Robert Allman
- National Marine Fisheries Service, Southeast Fisheries Science Center, Panama City Laboratory, Panama City, Florida, USA
| | | | - Igaratza Fraile
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Spain
| | - Nicolas Goñi
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Spain
| | - Alex R Hanke
- St Andrews Biological Station, Fisheries and Oceans Canada, St. Andrews, New Brunswick, Canada
| | | | - Ashley Pacicco
- Cooperative Institute for Marine and Atmospheric Studies Rosenstiel School of Marine, Atmospheric and Earth Science, University of Miami, Miami, Florida, USA
| | - Joseph M Quattro
- Department of Biological Sciences, University of South Carolina, Columbia, South Carolina, USA
| | - Jay R Rooker
- Department of Marine Biology, Texas A&M University at Galveston, Galveston, Texas, USA
| | - Haritz Arrizabalaga
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Spain
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4
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Zbinden ZD, Douglas MR, Chafin TK, Douglas ME. Riverscape community genomics: A comparative analytical approach to identify common drivers of spatial structure. Mol Ecol 2023; 32:6743-6765. [PMID: 36461662 DOI: 10.1111/mec.16806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/29/2022] [Accepted: 12/01/2022] [Indexed: 12/04/2022]
Abstract
Genetic differentiation among local groups of individuals, that is, genetic β-diversity, is a key component of population persistence related to connectivity and isolation. However, most genetic investigations of natural populations focus on a single species, overlooking opportunities for multispecies conservation plans to benefit entire communities in an ecosystem. We present an approach to evaluate genetic β-diversity within and among many species and demonstrate how this riverscape community genomics approach can be applied to identify common drivers of genetic structure. Our study evaluated genetic β-diversity in 31 co-distributed native stream fishes sampled from 75 sites across the White River Basin (Ozarks, USA) using SNP genotyping (ddRAD). Despite variance among species in the degree of genetic divergence, general spatial patterns were identified corresponding to river network architecture. Most species (N = 24) were partitioned into discrete subpopulations (K = 2-7). We used partial redundancy analysis to compare species-specific genetic β-diversity across four models of genetic structure: Isolation by distance (IBD), isolation by barrier (IBB), isolation by stream hierarchy (IBH), and isolation by environment (IBE). A significant proportion of intraspecific genetic variation was explained by IBH (x̄ = 62%), with the remaining models generally redundant. We found evidence for consistent spatial modularity in that gene flow is higher within rather than between hierarchical units (i.e., catchments, watersheds, basins), supporting the generalization of the stream hierarchy model. We discuss our conclusions regarding conservation and management and identify the 8-digit hydrologic unit (HUC) as the most relevant spatial scale for managing genetic diversity across riverine networks.
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Affiliation(s)
- Zachery D Zbinden
- Department of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA
| | - Marlis R Douglas
- Department of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA
| | - Tyler K Chafin
- Department of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA
- Biomathematics and Statistics Scotland, Edinburgh, UK
| | - Michael E Douglas
- Department of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA
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5
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Turbek SP, Funk WC, Ruegg KC. Where to draw the line? Expanding the delineation of conservation units to highly mobile taxa. J Hered 2023; 114:300-311. [PMID: 36815497 DOI: 10.1093/jhered/esad011] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 02/21/2023] [Indexed: 02/24/2023] Open
Abstract
Conservation units (CUs) are an essential tool for maximizing evolutionary potential and prioritizing areas across a species' range for protection when implementing conservation and management measures. However, current workflows for identifying CUs on the basis of neutral and adaptive genomic variation largely ignore information contained in patterns of isolation by distance (IBD), frequently the primary signal of population structure in highly mobile taxa, such as birds, bats, and marine organisms with pelagic larval stages. While individuals located on either end of a species' distribution may exhibit clear genetic, phenotypic, and ecological differences, IBD produces subtle changes in allele frequencies across space, making it difficult to draw clear boundaries for conservation purposes in the absence of discrete population structure. Here, we highlight potential pitfalls that arise when applying common methods for delineating CUs to continuously distributed organisms and review existing methods for detecting subtle breakpoints in patterns of IBD that can indicate barriers to gene flow in highly mobile taxa. In addition, we propose a new framework for identifying CUs in all organisms, including those characterized by continuous genomic differentiation, and suggest several possible ways to harness the information contained in patterns of IBD to guide conservation and management decisions.
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Affiliation(s)
- Sheela P Turbek
- Department of Biology, Colorado State University, Fort Collins, CO, United States
| | - W Chris Funk
- Department of Biology, Colorado State University, Fort Collins, CO, United States
| | - Kristen C Ruegg
- Department of Biology, Colorado State University, Fort Collins, CO, United States
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6
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Molecular ecology meets systematic conservation planning. Trends Ecol Evol 2023; 38:143-155. [PMID: 36210287 DOI: 10.1016/j.tree.2022.09.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 08/29/2022] [Accepted: 09/12/2022] [Indexed: 01/06/2023]
Abstract
Integrative and proactive conservation approaches are critical to the long-term persistence of biodiversity. Molecular data can provide important information on evolutionary processes necessary for conserving multiple levels of biodiversity (genes, populations, species, and ecosystems). However, molecular data are rarely used to guide spatial conservation decision-making. Here, we bridge the fields of molecular ecology (ME) and systematic conservation planning (SCP) (the 'why') to build a foundation for the inclusion of molecular data into spatial conservation planning tools (the 'how'), and provide a practical guide for implementing this integrative approach for both conservation planners and molecular ecologists. The proposed framework enhances interdisciplinary capacity, which is crucial to achieving the ambitious global conservation goals envisioned for the next decade.
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7
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Lowell N, Suhrbier A, Tarpey C, May S, Carson H, Hauser L. Population structure and adaptive differentiation in the sea cucumber Apostichopus californicus and implications for spatial resource management. PLoS One 2023; 18:e0280500. [PMID: 36928497 PMCID: PMC10019739 DOI: 10.1371/journal.pone.0280500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 01/03/2023] [Indexed: 03/18/2023] Open
Abstract
A growing body of evidence suggests that spatial population structure can develop in marine species despite large population sizes and high gene flow. Characterizing population structure is important for the effective management of exploited species, as it can be used to identify appropriate scales of management in fishery and aquaculture contexts. The California sea cucumber, Apostichopus californicus, is one such exploited species whose management could benefit from further characterization of population structure. Using restriction site-associated DNA (RAD) sequencing, we developed 2075 single nucleotide polymorphisms (SNPs) to quantify genetic structure over a broad section of the species' range along the North American west coast and within the Salish Sea, a region supporting the Washington State A. californicus fishery and developing aquaculture production of the species. We found evidence for population structure (global fixation index (FST) = 0.0068) with limited dispersal driving two patterns of differentiation: isolation-by-distance and a latitudinal gradient of differentiation. Notably, we found detectable population differences among collection sites within the Salish Sea (pairwise FST = 0.001-0.006). Using FST outlier detection and gene-environment association, we identified 10.2% of total SNPs as putatively adaptive. Environmental variables (e.g., temperature, salinity) from the sea surface were more correlated with genetic variation than those same variables measured near the benthos, suggesting that selection on pelagic larvae may drive adaptive differentiation to a greater degree than selection on adults. Our results were consistent with previous estimates of and patterns in population structure for this species in other extents of the range. Additionally, we found that patterns of neutral and adaptive differentiation co-varied, suggesting that adaptive barriers may limit dispersal. Our study provides guidance to decision-makers regarding the designation of management units for A. californicus and adds to the growing body of literature identifying genetic population differentiation in marine species despite large, nominally connected populations.
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Affiliation(s)
- Natalie Lowell
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, United States of America
- * E-mail:
| | - Andy Suhrbier
- Pacific Shellfish Institute, Olympia, Washington, United States of America
| | - Carolyn Tarpey
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, United States of America
| | - Samuel May
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, United States of America
| | - Henry Carson
- Washington Department of Fish and Wildlife, Olympia, Washington, United States of America
| | - Lorenz Hauser
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, United States of America
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8
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Seascape genomics of common dolphins (Delphinus delphis) reveals adaptive diversity linked to regional and local oceanography. BMC Ecol Evol 2022; 22:88. [PMID: 35818031 PMCID: PMC9275043 DOI: 10.1186/s12862-022-02038-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 06/14/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
High levels of standing genomic variation in wide-ranging marine species may enhance prospects for their long-term persistence. Patterns of connectivity and adaptation in such species are often thought to be influenced by spatial factors, environmental heterogeneity, and oceanographic and geomorphological features. Population-level studies that analytically integrate genome-wide data with environmental information (i.e., seascape genomics) have the potential to inform the spatial distribution of adaptive diversity in wide-ranging marine species, such as many marine mammals. We assessed genotype-environment associations (GEAs) in 214 common dolphins (Delphinus delphis) along > 3000 km of the southern coast of Australia.
Results
We identified 747 candidate adaptive SNPs out of a filtered panel of 17,327 SNPs, and five putatively locally-adapted populations with high levels of standing genomic variation were disclosed along environmentally heterogeneous coasts. Current velocity, sea surface temperature, salinity, and primary productivity were the key environmental variables associated with genomic variation. These environmental variables are in turn related to three main oceanographic phenomena that are likely affecting the dispersal of common dolphins: (1) regional oceanographic circulation, (2) localised and seasonal upwellings, and (3) seasonal on-shelf circulation in protected coastal habitats. Signals of selection at exonic gene regions suggest that adaptive divergence is related to important metabolic traits.
Conclusion
To the best of our knowledge, this represents the first seascape genomics study for common dolphins (genus Delphinus). Information from the associations between populations and their environment can assist population management in forecasting the adaptive capacity of common dolphins to climate change and other anthropogenic impacts.
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Xuereb A, Rougemont Q, Dallaire X, Moore J, Normandeau E, Bougas B, Perreault‐Payette A, Koop BF, Withler R, Beacham T, Bernatchez L. Re‐evaluating Coho salmon (
Oncorhynchus kisutch
) conservation units in Canada using genomic data. Evol Appl 2022; 15:1925-1944. [DOI: 10.1111/eva.13489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 11/28/2022] Open
Affiliation(s)
- Amanda Xuereb
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
| | - Quentin Rougemont
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
- CEFE, Centre d'Ecologie Fonctionnelle et Evolutive, UMR 5175, CNRS, Univ Montpellier, CNRS, EPHE, IRD Univ Paul Valéry Montpellier Montpellier France
| | - Xavier Dallaire
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
| | - Jean‐Sébastien Moore
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
| | - Eric Normandeau
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
| | - Bérénice Bougas
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
| | - Alysse Perreault‐Payette
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
| | - Ben F. Koop
- Department of Biology University of Victoria Victoria British Columbia Canada
| | - Ruth Withler
- Department of Fisheries and Ocean Pacific Biological Station Nanaimo British Columbia Canada
| | - Terry Beacham
- Department of Fisheries and Ocean Pacific Biological Station Nanaimo British Columbia Canada
| | - Louis Bernatchez
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
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Canales‐Aguirre CB, Larson WA, McKinney GJ, Claure CE, Rocha JD, Ceballos SG, Cádiz MI, Yáñez JM, Gomez‐Uchida D. Neutral and adaptive loci reveal fine‐scale population structure in Eleginops maclovinus from north Patagonia. Ecol Evol 2022; 12:e9343. [PMID: 36225825 PMCID: PMC9530513 DOI: 10.1002/ece3.9343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/05/2022] [Accepted: 09/06/2022] [Indexed: 11/10/2022] Open
Abstract
Patagonia is an understudied area, especially when it comes to population genomic studies with relevance to fishery management. However, the dynamic and heterogeneous landscape in this area can harbor an important but cryptic genetic population structure. Once such information is revealed, it can be integrated into the management of infrequently investigated species. Eleginops maclovinus is a protandrous hermaphrodite species with economic importance for local communities that are currently managed as a single genetic unit. In this study, we sampled five locations distributed across a salinity cline from Northern Patagonia to investigate the genetic population structure of E. maclovinus. We used restriction site‐associated DNA (RAD) sequencing and outlier tests to obtain neutral and adaptive loci, using FST and GEA approaches. We identified a spatial pattern of structuration with gene flow and spatial selection by environmental association. Neutral and adaptive loci showed two and three genetic groups, respectively. The effective population sizes estimated ranged from 572 (Chepu) to 14,454 (Chaitén) and were influenced more by locality than by salinity cline. We found loci putatively associated with salinity suggesting that salinity may act as a selective driver in E. maclovinus populations. These results suggest a complex interaction between genetic drift, gene flow, and natural selection in this area. Our findings also suggest several evolutionary significant units in this area, and the information should be integrated into the management of this species. We discussed the significance of these results for fishery management and suggest future directions to improve our understanding of how E. maclovinus has adapted to the dynamic waters of Northern Patagonia.
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Affiliation(s)
| | - Wesley A. Larson
- National Oceanographic and Atmospheric Administration, National Marine Fisheries Service, Alaska Fisheries Science CenterAuke Bay LaboratoriesJuneauAlaskaUSA
| | | | - C. Eliza Claure
- Centro i~mar, Universidad de Los LagosPuerto MonttChile,Núcleo Milenio INVASALConcepciónChile
| | - J. Dellis Rocha
- Centro i~mar, Universidad de Los LagosPuerto MonttChile,Núcleo Milenio INVASALConcepciónChile
| | - Santiago G. Ceballos
- Centro Austral de Investigaciones Científicas (CADIC‐CONICET)UshuaiaTierra del FuegoArgentina,Universidad Nacional de Tierra del Fuego (ICPA‐UNTDF)UshuaiaArgentina
| | - María I. Cádiz
- Núcleo Milenio INVASALConcepciónChile,Department of BiologyAarhus UniversityAarhus CDenmark
| | - José M. Yáñez
- Núcleo Milenio INVASALConcepciónChile,Facultad de Ciencias Veterinarias y PecuariasUniversidad de ChileLa PintanaSantiagoChile
| | - Daniel Gomez‐Uchida
- Núcleo Milenio INVASALConcepciónChile,Genomics in Ecology, Evolution & Conservation Lab (GEECLAB), Departamento de Zoología. Facultad de Ciencias Naturales y OceanográficasUniversidad de ConcepciónConcepciónChile
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11
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Dorant Y, Laporte M, Rougemont Q, Cayuela H, Rochette R, Bernatchez L. Landscape genomics of the American lobster (Homarus americanus). Mol Ecol 2022; 31:5182-5200. [PMID: 35960266 DOI: 10.1111/mec.16653] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 08/03/2022] [Accepted: 08/08/2022] [Indexed: 01/07/2023]
Abstract
In marine species experiencing intense fishing pressures, knowledge of genetic structure and local adaptation represent a critical information to assist sustainable management. In this study, we performed a landscape genomics analysis in the American lobster to investigate the issues pertaining to the consequences of making use of putative adaptive loci to reliably infer population structure and thus more rigorously delineating biological management units in marine exploited species. Toward this end, we genotyped 14,893 single nucleotide polymorphism (SNPs) in 4190 lobsters sampled across 96 sampling sites distributed along 1000 km in the northwest Atlantic in both Canada and the USA. As typical for most marine species, we observed a weak, albeit highly significant genetic structure. We also found that adaptive genetic variation allows detecting fine-scale population structure not resolved by neutral genetic variation alone. Using the recent genome assembly of the American lobster, we were able to map and annotate several SNPs located in functional genes potentially implicated in adaptive processes such as thermal stress response, salinity tolerance and growth metabolism pathways. Taken together, our study indicates that weak population structure in high gene flow systems can be resolved at various spatial scales, and that putatively adaptive genetic variation can substantially enhance the delineation of biological management units of marine exploited species.
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Affiliation(s)
- Yann Dorant
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Québec, Canada.,IHPE, CNRS, Ifremer, Université de Montpellier, Université de Perpignan Via Domitia, Montpellier, France
| | - Martin Laporte
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Québec, Canada.,Ministère des Forêts de la Faune et des Parcs du Québec, Québec, Québec, Canada
| | - Quentin Rougemont
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Québec, Canada.,CEFE, CNRS, EPHE, IRD, Université de Montpellier, Montpellier, France
| | - Hugo Cayuela
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Québec, Canada.,Laboratoire de Biométrie et Biologie Évolutive, CNRS, Université Lyon 1, Villeurbanne, France
| | - Rémy Rochette
- Department of Biology, University of New Brunswick, Saint John, New Brunswick, Canada
| | - Louis Bernatchez
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Québec, Canada
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12
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Jeffery NW, Lehnert SJ, Kess T, Layton KKS, Wringe BF, Stanley RR. Application of Omics Tools in Designing and Monitoring Marine Protected Areas For a Sustainable Blue Economy. Front Genet 2022; 13:886494. [PMID: 35812740 PMCID: PMC9257101 DOI: 10.3389/fgene.2022.886494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 05/16/2022] [Indexed: 11/15/2022] Open
Abstract
A key component of the global blue economy strategy is the sustainable extraction of marine resources and conservation of marine environments through networks of marine protected areas (MPAs). Connectivity and representativity are essential factors that underlie successful implementation of MPA networks, which can safeguard biological diversity and ecosystem function, and ultimately support the blue economy strategy by balancing ocean use with conservation. New “big data” omics approaches, including genomics and transcriptomics, are becoming essential tools for the development and maintenance of MPA networks. Current molecular omics techniques, including population-scale genome sequencing, have direct applications for assessing population connectivity and for evaluating how genetic variation is represented within and among MPAs. Effective baseline characterization and long-term, scalable, and comprehensive monitoring are essential for successful MPA management, and omics approaches hold great promise to characterize the full range of marine life, spanning the microbiome to megafauna across a range of environmental conditions (shallow sea to the deep ocean). Omics tools, such as eDNA metabarcoding can provide a cost-effective basis for biodiversity monitoring in large and remote conservation areas. Here we provide an overview of current omics applications for conservation planning and monitoring, with a focus on metabarcoding, metagenomics, and population genomics. Emerging approaches, including whole-genome sequencing, characterization of genomic architecture, epigenomics, and genomic vulnerability to climate change are also reviewed. We demonstrate that the operationalization of omics tools can enhance the design, monitoring, and management of MPAs and thus will play an important role in a modern and comprehensive blue economy strategy.
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Affiliation(s)
- Nicholas W. Jeffery
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, NS, Canada
- *Correspondence: Nicholas W. Jeffery,
| | - Sarah J. Lehnert
- Northwest Atlantic Fisheries Centre, Fisheries and Oceans Canada, St. John’s, NL, Canada
| | - Tony Kess
- Northwest Atlantic Fisheries Centre, Fisheries and Oceans Canada, St. John’s, NL, Canada
| | - Kara K. S. Layton
- School of Biological Sciences, University of Aberdeen, Aberdeen, United Kingdom
| | - Brendan F. Wringe
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, NS, Canada
| | - Ryan R.E. Stanley
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, NS, Canada
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13
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Andrello M, D'Aloia C, Dalongeville A, Escalante MA, Guerrero J, Perrier C, Torres-Florez JP, Xuereb A, Manel S. Evolving spatial conservation prioritization with intraspecific genetic data. Trends Ecol Evol 2022; 37:553-564. [PMID: 35450706 DOI: 10.1016/j.tree.2022.03.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 03/09/2022] [Accepted: 03/11/2022] [Indexed: 12/15/2022]
Abstract
Spatial conservation prioritization (SCP) is a planning framework used to identify new conservation areas on the basis of the spatial distribution of species, ecosystems, and their services to human societies. The ongoing accumulation of intraspecific genetic data on a variety of species offers a way to gain knowledge of intraspecific genetic diversity and to estimate several population characteristics useful in conservation, such as dispersal and population size. Here, we review how intraspecific genetic data have been integrated into SCP and highlight their potential for identifying conservation area networks that represent intraspecific genetic diversity comprehensively and that ensure the long-term persistence of biodiversity in the face of global change.
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Affiliation(s)
- Marco Andrello
- Institute for the study of Anthropic impacts and Sustainability in the marine environment, National Research Council, CNR-IAS, Rome, Italy.
| | - Cassidy D'Aloia
- Department of Biology, University of Toronto Mississauga, Mississauga, ON, Canada
| | | | - Marco A Escalante
- Laboratory of Molecular Ecology, Institute of Animal Physiology and Genetics of the Czech Academy of Sciences, Liběchov, Czech Republic
| | - Jimena Guerrero
- Sociedad Científica de Investigación Transdisciplinaria y Especialización (SCITE), Calimaya, México
| | - Charles Perrier
- CBGP, INRAe, CIRAD, IRD, Montpellier SupAgro, University of Montpellier, Montpellier, France
| | - Juan Pablo Torres-Florez
- Instituto Chico Mendes de Conservação da Biodiversidade, Centro Nacional de Pesquisa e Conservação de Mamíferos Aquáticos, Santos, Brazil
| | - Amanda Xuereb
- Département de Biologie, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
| | - Stéphanie Manel
- CEFE, Univ Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France
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14
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Waples RS, Ford MJ, Nichols K, Kardos M, Myers J, Thompson TQ, Anderson EC, Koch IJ, McKinney G, Miller MR, Naish K, Narum SR, O'Malley KG, Pearse DE, Pess GR, Quinn TP, Seamons TR, Spidle A, Warheit KI, Willis SC. Implications of Large-Effect Loci for Conservation: A Review and Case Study with Pacific Salmon. J Hered 2022; 113:121-144. [PMID: 35575083 DOI: 10.1093/jhered/esab069] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 11/07/2021] [Indexed: 11/13/2022] Open
Abstract
The increasing feasibility of assembling large genomic datasets for non-model species presents both opportunities and challenges for applied conservation and management. A popular theme in recent studies is the search for large-effect loci that explain substantial portions of phenotypic variance for a key trait(s). If such loci can be linked to adaptations, 2 important questions arise: 1) Should information from these loci be used to reconfigure conservation units (CUs), even if this conflicts with overall patterns of genetic differentiation? 2) How should this information be used in viability assessments of populations and larger CUs? In this review, we address these questions in the context of recent studies of Chinook salmon and steelhead (anadromous form of rainbow trout) that show strong associations between adult migration timing and specific alleles in one small genomic region. Based on the polygenic paradigm (most traits are controlled by many genes of small effect) and genetic data available at the time showing that early-migrating populations are most closely related to nearby late-migrating populations, adult migration differences in Pacific salmon and steelhead were considered to reflect diversity within CUs rather than separate CUs. Recent data, however, suggest that specific alleles are required for early migration, and that these alleles are lost in populations where conditions do not support early-migrating phenotypes. Contrasting determinations under the US Endangered Species Act and the State of California's equivalent legislation illustrate the complexities of incorporating genomics data into CU configuration decisions. Regardless how CUs are defined, viability assessments should consider that 1) early-migrating phenotypes experience disproportionate risks across large geographic areas, so it becomes important to identify early-migrating populations that can serve as reliable sources for these valuable genetic resources; and 2) genetic architecture, especially the existence of large-effect loci, can affect evolutionary potential and adaptability.
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Affiliation(s)
- Robin S Waples
- Northwest Fisheries Science Center, National Marine Fisheries Service, 2725 Montlake Blvd. East, Seattle, WA, USA
| | - Michael J Ford
- Northwest Fisheries Science Center, National Marine Fisheries Service, 2725 Montlake Blvd. East, Seattle, WA, USA
| | - Krista Nichols
- Northwest Fisheries Science Center, National Marine Fisheries Service, 2725 Montlake Blvd. East, Seattle, WA, USA
| | | | - Jim Myers
- Northwest Fisheries Science Center, National Marine Fisheries Service, 2725 Montlake Blvd. East, Seattle, WA, USA
| | | | - Eric C Anderson
- Southwest Fisheries Science Center, National Marine Fisheries Service, Santa Cruz, CA, USA
| | - Ilana J Koch
- Columbia River Inter-Tribal Fish Commission, Hagerman, ID, USA
| | - Garrett McKinney
- Northwest Fisheries Science Center, National Marine Fisheries Service, 2725 Montlake Blvd. East, Seattle, WA, USA
- Washington Department of Fish and Wildlife, Olympia, WA, USA
| | | | - Kerry Naish
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WAUSA
| | - Shawn R Narum
- Columbia River Inter-Tribal Fish Commission, Hagerman, ID, USA
| | | | - Devon E Pearse
- Southwest Fisheries Science Center, National Marine Fisheries Service, Santa Cruz, CA, USA
| | - George R Pess
- Northwest Fisheries Science Center, National Marine Fisheries Service, 2725 Montlake Blvd. East, Seattle, WA, USA
| | - Thomas P Quinn
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WAUSA
| | - Todd R Seamons
- Washington Department of Fish and Wildlife, Olympia, WA, USA
| | - Adrian Spidle
- Northwest Indian Fisheries Commission, Olympia, WA, USA
| | | | - Stuart C Willis
- Columbia River Inter-Tribal Fish Commission, Hagerman, ID, USA
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15
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Láruson ÁJ, Fitzpatrick MC, Keller SR, Haller BC, Lotterhos KE. Seeing the Forest for the trees: Assessing genetic offset predictions from Gradient Forest. Evol Appl 2022; 15:403-416. [PMID: 35386401 PMCID: PMC8965365 DOI: 10.1111/eva.13354] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 01/22/2022] [Accepted: 01/30/2022] [Indexed: 12/02/2022] Open
Abstract
Gradient Forest (GF) is a machine learning algorithm designed to analyze spatial patterns of biodiversity as a function of environmental gradients. An offset measure between the GF‐predicted environmental association of adapted alleles and a new environment (GF Offset) is increasingly being used to predict the loss of environmentally adapted alleles under rapid environmental change, but remains mostly untested for this purpose. Here, we explore the robustness of GF Offset to assumption violations, and its relationship to measures of fitness, using SLiM simulations with explicit genome architecture and a spatial metapopulation. We evaluate measures of GF Offset in: (1) a neutral model with no environmental adaptation; (2) a monogenic “population genetic” model with a single environmentally adapted locus; and (3) a polygenic “quantitative genetic” model with two adaptive traits, each adapting to a different environment. We found GF Offset to be broadly correlated with fitness offsets under both single locus and polygenic architectures. However, neutral demography, genomic architecture, and the nature of the adaptive environment can all confound relationships between GF Offset and fitness. GF Offset is a promising tool, but it is important to understand its limitations and underlying assumptions, especially when used in the context of predicting maladaptation.
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Affiliation(s)
- Áki Jarl Láruson
- Department of Natural Resources Cornell University Ithaca NY 14853 USA
| | - Matthew C. Fitzpatrick
- Appalachian Laboratory University of Maryland Center for Environmental Science Frostburg Maryland 21532 USA
| | - Stephen R. Keller
- Department of Plant Biology University of Vermont Burlington Vermont 05405 USA
| | - Benjamin C. Haller
- Department of Computational Biology Cornell University Ithaca NY 14853 USA
| | - Katie E. Lotterhos
- Department of Marine and Environmental Sciences Northeastern University Marine Science Center Nahant MA 01908 USA
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16
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Graham CF, Boreham DR, Manzon RG, Wilson JY, Somers CM. Population structure of lake whitefish ( Coregonus clupeaformis) from the Mississippian lineage in North America. Facets (Ott) 2022. [DOI: 10.1139/facets-2021-0191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
The lake whitefish ( Coregonus clupeaformis) is a commercially valuable freshwater species with a broad distribution in North America. Some phylogeographic work has been done on this species, but little is known about genetic population subdivision among populations of the widely dispersed Mississippian lineage. We used 3,173 single nucleotide polymorphisms in 508 lake whitefish from 22 different lakes to examine population structure across central Canada and the United States. Bayesian clustering, ordination, and fixation indices identified population subdivision that largely reflected geographic distance and hydrological connectivity, with greater differentiation between lakes that are farther apart. Population subdivision was hierarchical, with greater differentiation between Canadian provinces and less differentiation based on river basins within provincial boundaries. Interestingly, isolation by distance alone was not sufficient to account for all of the observed genetic differentiation among populations. We conclude that important components of lake whitefish genetic diversity are present at different spatial scales, and that populations within the Mississippian lineage have differentiated widely across their range.
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Affiliation(s)
- Carly F. Graham
- Department of Biology, University of Regina, Regina, SK, Canada
| | - Douglas R. Boreham
- Medical Sciences, Northern Ontario School of Medicine, Greater Sudbury, ON, Canada
| | | | - Joanna Y. Wilson
- Department of Biology, McMaster University, Hamilton, ON, Canada
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17
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Byer NW, Fountain ED, Reid BN, Miller K, Kulzer PJ, Peery MZ. Land use and life history constrain adaptive genetic variation and reduce the capacity for climate change adaptation in turtles. BMC Genomics 2021; 22:837. [PMID: 34794393 PMCID: PMC8603537 DOI: 10.1186/s12864-021-08151-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 11/01/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Rapid anthropogenic climate change will require species to adapt to shifting environmental conditions, with successful adaptation dependent upon current patterns of genetic variation. While landscape genomic approaches allow for exploration of local adaptation in non-model systems, most landscape genomics studies of adaptive capacity are limited to exploratory identification of potentially important functional genes, often without a priori expectations as to the gene functions that may be most important for climate change responses. In this study, we integrated targeted sequencing of genes of known function and genotyping of single-nucleotide polymorphisms to examine spatial, environmental, and species-specific patterns of potential local adaptation in two co-occuring turtle species: the Blanding's turtle (Emydoidea blandingii) and the snapping turtle (Chelydra serpentina). RESULTS We documented divergent patterns of spatial clustering between neutral and putatively adaptive genetic variation in both species. Environmental associations varied among gene regions and between species, with stronger environmental associations detected for genes involved in stress response and for the more specialized Blanding's turtle. Land cover appeared to be more important than climate in shaping spatial variation in functional genes, indicating that human landscape alterations may affect adaptive capacity important for climate change responses. CONCLUSIONS Our study provides evidence that responses to climate change will be contingent on species-specific adaptive capacity and past history of exposure to human land cover change.
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Affiliation(s)
| | | | - Brendan N Reid
- W.K. Kellogg Biological Station, Michigan State University, MI, 49060, Hickory Corners, USA
| | - Kristen Miller
- University of Wisconsin-Madison, 53706, Madison, WI, USA
| | - Paige J Kulzer
- University of Wisconsin-Madison, 53706, Madison, WI, USA
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18
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Boulanger E, Benestan L, Guerin PE, Dalongeville A, Mouillot D, Manel S. Climate differently influences the genomic patterns of two sympatric marine fish species. J Anim Ecol 2021; 91:1180-1195. [PMID: 34716929 DOI: 10.1111/1365-2656.13623] [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: 04/05/2021] [Accepted: 10/21/2021] [Indexed: 12/19/2022]
Abstract
Climate influences population genetic variation in marine species. Capturing these impacts remains challenging for marine fishes which disperse over large geographical scales spanning steep environmental gradients. It requires the extensive spatial sampling of individuals or populations, representative of seascape heterogeneity, combined with a set of highly informative molecular markers capable of revealing climatic-associated genetic variations. We explored how space, dispersal and environment shape the genomic patterns of two sympatric fish species in the Mediterranean Sea, which ranks among the oceanic basins most affected by climate change and human pressure. We hypothesized that the population structure and climate-associated genomic signatures of selection would be stronger in the less mobile species, as restricted gene flow tends to facilitate the fixation of locally adapted alleles. To test our hypothesis, we genotyped two species with contrasting dispersal abilities: the white seabream Diplodus sargus and the striped red mullet Mullus surmuletus. We collected 823 individuals and used genotyping by sequencing (GBS) to detect 8,206 single nucleotide polymorphisms (SNPs) for the seabream and 2,794 for the mullet. For each species, we identified highly differentiated genomic regions (i.e. outliers) and disentangled the relative contribution of space, dispersal and environmental variables (climate, marine primary productivity) on the outliers' genetic structure to test the prevalence of gene flow and local adaptation. We observed contrasting patterns of gene flow and adaptive genetic variation between the two species. The seabream showed a distinct Alboran sea population and panmixia across the Mediterranean Sea. The mullet revealed additional differentiation within the Mediterranean Sea that was significantly correlated to summer and winter temperatures, as well as marine primary productivity. Functional annotation of the climate-associated outlier SNPs then identified candidate genes involved in heat tolerance that could be examined to further predict species' responses to climate change. Our results illustrate the key steps of a comparative seascape genomics study aiming to unravel the evolutionary processes at play in marine species, to better anticipate their response to climate change. Defining population adaptation capacities and environmental niches can then serve to incorporate evolutionary processes into species conservation planning.
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Affiliation(s)
- Emilie Boulanger
- CEFE, University of Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France.,MARBEC, University of Montpellier, CNRS, Ifremer, IRD, Montpellier, France
| | - Laura Benestan
- CEFE, University of Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France
| | - Pierre-Edouard Guerin
- CEFE, University of Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France
| | | | - David Mouillot
- MARBEC, University of Montpellier, CNRS, Ifremer, IRD, Montpellier, France.,Institut Universitaire de France, Paris, France
| | - Stéphanie Manel
- CEFE, University of Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France
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19
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Abstract
The rapidly emerging field of macrogenetics focuses on analysing publicly accessible genetic datasets from thousands of species to explore large-scale patterns and predictors of intraspecific genetic variation. Facilitated by advances in evolutionary biology, technology, data infrastructure, statistics and open science, macrogenetics addresses core evolutionary hypotheses (such as disentangling environmental and life-history effects on genetic variation) with a global focus. Yet, there are important, often overlooked, limitations to this approach and best practices need to be considered and adopted if macrogenetics is to continue its exciting trajectory and reach its full potential in fields such as biodiversity monitoring and conservation. Here, we review the history of this rapidly growing field, highlight knowledge gaps and future directions, and provide guidelines for further research.
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20
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Nielsen ES, Henriques R, Beger M, von der Heyden S. Distinct interspecific and intraspecific vulnerability of coastal species to global change. GLOBAL CHANGE BIOLOGY 2021; 27:3415-3431. [PMID: 33904200 DOI: 10.1111/gcb.15651] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 04/12/2021] [Indexed: 06/12/2023]
Abstract
Characterising and predicting species responses to anthropogenic global change is one of the key challenges in contemporary ecology and conservation. The sensitivity of marine species to climate change is increasingly being described with forecasted species distributions, yet these rarely account for population level processes such as genomic variation and local adaptation. This study compares inter- and intraspecific patterns of biological composition to determine how vulnerability to climate change, and its environmental drivers, vary across species and populations. We compare species trajectories for three ecologically important southern African marine invertebrates at two time points in the future, both at the species level, with correlative species distribution models, and at the population level, with gradient forest models. Reported range shifts are species-specific and include both predicted range gains and losses. Forecasted species responses to climate change are strongly influenced by changes in a suite of environmental variables, from sea surface salinity and sea surface temperature, to minimum air temperature. Our results further suggest a mismatch between future habitat suitability (where species can remain in their ecological niche) and genomic vulnerability (where populations retain their genomic composition), highlighting the inter- and intraspecific variability in species' sensitivity to global change. Overall, this study demonstrates the importance of considering species and population level climatic vulnerability when proactively managing coastal marine ecosystems in the Anthropocene.
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Affiliation(s)
- Erica S Nielsen
- Evolutionary Genomics Group, Department of Botany and Zoology, University of Stellenbosch, Matieland, South Africa
| | - Romina Henriques
- Evolutionary Genomics Group, Department of Botany and Zoology, University of Stellenbosch, Matieland, South Africa
- Section for Marine Living Resources, Technical University of Denmark, National Institute of Aquatic Resources, Silkeborg, Denmark
| | - Maria Beger
- School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK
| | - Sophie von der Heyden
- Evolutionary Genomics Group, Department of Botany and Zoology, University of Stellenbosch, Matieland, South Africa
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21
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Thomson AI, Archer FI, Coleman MA, Gajardo G, Goodall‐Copestake WP, Hoban S, Laikre L, Miller AD, O’Brien D, Pérez‐Espona S, Segelbacher G, Serrão EA, Sjøtun K, Stanley MS. Charting a course for genetic diversity in the UN Decade of Ocean Science. Evol Appl 2021; 14:1497-1518. [PMID: 34178100 PMCID: PMC8210796 DOI: 10.1111/eva.13224] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 03/04/2021] [Accepted: 03/04/2021] [Indexed: 02/06/2023] Open
Abstract
The health of the world's oceans is intrinsically linked to the biodiversity of the ecosystems they sustain. The importance of protecting and maintaining ocean biodiversity has been affirmed through the setting of the UN Sustainable Development Goal 14 to conserve and sustainably use the ocean for society's continuing needs. The decade beginning 2021-2030 has additionally been declared as the UN Decade of Ocean Science for Sustainable Development. This program aims to maximize the benefits of ocean science to the management, conservation, and sustainable development of the marine environment by facilitating communication and cooperation at the science-policy interface. A central principle of the program is the conservation of species and ecosystem components of biodiversity. However, a significant omission from the draft version of the Decade of Ocean Science Implementation Plan is the acknowledgment of the importance of monitoring and maintaining genetic biodiversity within species. In this paper, we emphasize the importance of genetic diversity to adaptive capacity, evolutionary potential, community function, and resilience within populations, as well as highlighting some of the major threats to genetic diversity in the marine environment from direct human impacts and the effects of global climate change. We then highlight the significance of ocean genetic diversity to a diverse range of socioeconomic factors in the marine environment, including marine industries, welfare and leisure pursuits, coastal communities, and wider society. Genetic biodiversity in the ocean, and its monitoring and maintenance, is then discussed with respect to its integral role in the successful realization of the 2030 vision for the Decade of Ocean Science. Finally, we suggest how ocean genetic diversity might be better integrated into biodiversity management practices through the continued interaction between environmental managers and scientists, as well as through key leverage points in industry requirements for Blue Capital financing and social responsibility.
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Affiliation(s)
| | | | - Melinda A. Coleman
- New South Wales FisheriesNational Marine Science CentreCoffs HarbourNSWAustralia
- National Marine Science CentreSouthern Cross UniversityCoffs HarbourNSWAustralia
- Oceans Institute and School of Biological SciencesUniversity of Western AustraliaCrawleyWAAustralia
| | - Gonzalo Gajardo
- Laboratory of Genetics, Aquaculture & BiodiversityUniversidad de Los LagosOsornoChile
| | | | - Sean Hoban
- Centre for Tree ScienceThe Morton ArboretumLisleILUSA
| | - Linda Laikre
- Centre for Tree ScienceThe Morton ArboretumLisleILUSA
- The Wildlife Analysis UnitThe Swedish Environmental Protection AgencyStockholmSweden
| | - Adam D. Miller
- School of Life and Environmental SciencesCentre for Integrative EcologyDeakin UniversityGeelongVicAustralia
- Deakin Genomics CentreDeakin UniversityGeelongVic.Australia
| | | | - Sílvia Pérez‐Espona
- The Royal (Dick) School of Veterinary Studies and The Roslin InstituteMidlothianUK
| | - Gernot Segelbacher
- Chair of Wildlife Ecology and ManagementUniversity FreiburgFreiburgGermany
| | - Ester A. Serrão
- CCMARCentre of Marine SciencesFaculty of Sciences and TechnologyUniversity of AlgarveFaroPortugal
| | - Kjersti Sjøtun
- Department of Biological SciencesUniversity of BergenBergenNorway
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22
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Andrews KR, Epstein B, Leslie MS, Fiedler P, Morin PA, Hoelzel AR. Genomic signatures of divergent selection are associated with social behaviour for spinner dolphin ecotypes. Mol Ecol 2021; 30:1993-2008. [PMID: 33645853 DOI: 10.1111/mec.15865] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 01/16/2021] [Accepted: 02/22/2021] [Indexed: 12/17/2022]
Abstract
Understanding the genomic basis of adaptation is critical for understanding evolutionary processes and predicting how species will respond to environmental change. Spinner dolphins in the eastern tropical Pacific (ETP) present a unique system for studying adaptation. Within this large geographical region are four spinner dolphin ecotypes with weak neutral genetic divergence and no obvious barriers to gene flow, but strong spatial variation in morphology, behaviour and habitat. These ecotypes have large population sizes, which could reduce the effects of drift and facilitate selection. To identify genomic regions putatively under divergent selective pressures between ecotypes, we used genome scans with 8994 RADseq single nucleotide polymorphisms (SNPs) to identify population differentiation outliers and genotype-environment association outliers. Gene ontology enrichment analyses indicated that outlier SNPs from both types of analyses were associated with multiple genes involved in social behaviour and hippocampus development, including 15 genes associated with the human social disorder autism. Evidence for divergent selection on social behaviour is supported by previous evidence that these spinner dolphin ecotypes differ in mating systems and associated social behaviours. In particular, three of the ETP ecotypes probably have a polygynous mating system characterized by strong premating competition among males, whereas the fourth ecotype probably has a polygynandrous mating system characterized by strong postmating competition such as sperm competition. Our results provide evidence that selection for social behaviour may be an evolutionary force driving diversification of spinner dolphins in the ETP, potentially as a result of divergent sexual selection associated with different mating systems. Future studies should further investigate the potential adaptive role of the candidate genes identified here, and could probably find further signatures of selection using whole genome sequence data.
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Affiliation(s)
- Kimberly R Andrews
- School of Biosciences, Durham University, Durham, UK.,Institute for Bioinformatics and Evolutionary Studies (IBEST), University of Idaho, Moscow, ID, USA
| | - Brendan Epstein
- Department of Plant & Microbial Biology, University of Minnesota, St. Paul, MN, USA
| | | | - Paul Fiedler
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, USA
| | - Phillip A Morin
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, USA
| | - A Rus Hoelzel
- School of Biosciences, Durham University, Durham, UK
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