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Yan W, Wang Z, Zhou B. Population evolution of seagrasses returning to the ocean. Heliyon 2023; 9:e20231. [PMID: 37809433 PMCID: PMC10559988 DOI: 10.1016/j.heliyon.2023.e20231] [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: 03/07/2023] [Revised: 08/05/2023] [Accepted: 09/14/2023] [Indexed: 10/10/2023] Open
Abstract
Seagrasses are higher flowering plants that live entirely in marine environments, with the greatest habitat variation occurring from land to sea. Genetic structure or population differentiation history is a hot topic in evolutionary biology, which is of great significance for understanding speciation. Genetic information is obtained from geographically distributed subpopulations, different subspecies, or strains of the same species using next-generation sequencing techniques. Genetic variation is identified by comparison with reference genomes. Genetic diversity is explored using population structure, principal component analysis (PCA), and phylogenetic relationships. Patterns of population genetic differentiation are elucidated by combining the isolation by distance (IBD) model, linkage disequilibrium levels, and genetic statistical analysis. Demographic history is simulated using effective population size, divergence time, and site frequency spectrum (SFS). Through various population genetic analyses, the genetic structure and historical population dynamics of seagrass can be clarified, and their evolutionary processes can be further explored at the molecular level to understand how evolutionary processes contributed to the formation of early ecological species and provide data support for seagrass conservation.
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Affiliation(s)
- Wenjie Yan
- Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, Qingdao, 266003, China
| | - Zhaohua Wang
- First Institute of Oceanography, MNR, Qingdao, 266061, China
| | - Bin Zhou
- College of Marine Life Science, Ocean University of China, Qingdao, 266003, China
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2
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Hernawan UE, van Dijk K, Kendrick GA, Feng M, Berry O, Kavazos C, McMahon K. Ocean connectivity and habitat characteristics predict population genetic structure of seagrass in an extreme tropical setting. Ecol Evol 2023; 13:e10257. [PMID: 37404702 PMCID: PMC10316484 DOI: 10.1002/ece3.10257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 06/15/2023] [Accepted: 06/19/2023] [Indexed: 07/06/2023] Open
Abstract
Understanding patterns of gene flow and processes driving genetic differentiation is important for a broad range of conservation practices. In marine organisms, genetic differentiation among populations is influenced by a range of spatial, oceanographic, and environmental factors that are attributed to the seascape. The relative influences of these factors may vary in different locations and can be measured using seascape genetic approaches. Here, we applied a seascape genetic approach to populations of the seagrass, Thalassia hemprichii, at a fine spatial scale (~80 km) in the Kimberley coast, western Australia, a complex seascape with strong, multidirectional currents greatly influenced by extreme tidal ranges (up to 11 m, the world's largest tropical tides). We incorporated genetic data from a panel of 16 microsatellite markers, overwater distance, oceanographic data derived from predicted passive dispersal on a 2 km-resolution hydrodynamic model, and habitat characteristics from each meadow sampled. We detected significant spatial genetic structure and asymmetric gene flow, in which meadows 12-14 km apart were less connected than ones 30-50 km apart. This pattern was explained by oceanographic connectivity and differences in habitat characteristics, suggesting a combined scenario of dispersal limitation and facilitation by ocean current with local adaptation. Our findings add to the growing evidence for the key role of seascape attributes in driving spatial patterns of gene flow. Despite the potential for long-distance dispersal, there was significant genetic structuring over small spatial scales implicating dispersal and recruitment bottlenecks and highlighting the importance of implementing local-scale conservation and management measures.
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Affiliation(s)
- Udhi E. Hernawan
- School of Science and Centre for Marine Ecosystems ResearchEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Research Centre for Oceanography (PRO), National Research and Innovation Agency (BRIN)JakartaIndonesia
| | - Kor‐jent van Dijk
- School of Biological SciencesThe University of AdelaideAdelaideSouth AustraliaAustralia
| | - Gary A. Kendrick
- School of Biological Sciences and The Ocean InstituteThe University of Western AustraliaCrawleyWestern AustraliaAustralia
- Western Australian Marine Science InstitutionPerthWestern AustraliaAustralia
| | - Ming Feng
- Western Australian Marine Science InstitutionPerthWestern AustraliaAustralia
- CSIRO Environment, Indian Ocean Marine Research CentreCrawleyWestern AustraliaAustralia
| | - Oliver Berry
- Western Australian Marine Science InstitutionPerthWestern AustraliaAustralia
- CSIRO Environment, Indian Ocean Marine Research CentreCrawleyWestern AustraliaAustralia
| | - Christopher Kavazos
- School of Science and Centre for Marine Ecosystems ResearchEdith Cowan UniversityJoondalupWestern AustraliaAustralia
| | - Kathryn McMahon
- School of Science and Centre for Marine Ecosystems ResearchEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Western Australian Marine Science InstitutionPerthWestern AustraliaAustralia
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3
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Madeira AG, Tsuda Y, Nagano Y, Iwasaki T, Zucchi MI, Kajita T, Mori GM. The role of oceanic currents in the dispersal and connectivity of the mangrove Rhizophora mangle on the Southwest Atlantic region. Mol Ecol Resour 2023. [PMID: 37173824 DOI: 10.1111/1755-0998.13807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 04/07/2023] [Accepted: 04/17/2023] [Indexed: 05/15/2023]
Abstract
Dispersal is a crucial mechanism to living beings, allowing them to reach new resources such that populations and species can occupy new environments. However, directly observing the dispersal mechanisms of widespread species can be costly or even impractical, which is the case for mangrove trees. The influence of ocean currents on mangrove dispersal is increasingly evident; however, few studies mechanistically relate the patterns of population distribution with the dispersal by oceanic currents under an integrated framework. Here, we evaluate the role of oceanic currents on connectivity of Rhizophora mangle along the Southwest Atlantic. We inferred population genetic structure and migration rates, simulated the displacement of propagules and tested our hypotheses with Mantel tests and redundancy analysis. We observed populations structured in two major groups, north and south, which is corroborated by other studies with Rhizophora and other coastal plants. Inferred recent migration rates do not indicate ongoing gene flow between sites. Conversely, long-term migration rates were low across groups and contrasting dispersal patterns within each one, which is consistent with long-distance dispersal events. Our hypothesis tests suggest that both isolation by distance and isolation by oceanography (derived from the oceanic currents) can explain the neutral genetic variation of R. mangle in the region. Our findings expand current knowledge of mangrove connectivity and highlight how the association of molecular methods with oceanographic simulations improve the interpretation of the dispersal process. This integrative approach is a cost- and time-efficient strategy to include dispersal and connectivity data into marine protected areas planning and management.
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Affiliation(s)
| | - Yoshiaki Tsuda
- Sugadaira Research Station, Mountain Science Center, University of Tsukuba, Nagano, Japan
| | - Yukio Nagano
- Analytical Research Center for Experimental Sciences, Saga University, Saga, Japan
- The United Graduate School of Agricultural Sciences, Kagoshima University, Kagoshima, Japan
| | | | | | - Tadashi Kajita
- The United Graduate School of Agricultural Sciences, Kagoshima University, Kagoshima, Japan
- Iriomote Station, Tropical Biosphere Research Center, University of the Ryukyus, Nishihara, Okinawa, Japan
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4
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Johannesson K, Leder EH, André C, Dupont S, Eriksson SP, Harding K, Havenhand JN, Jahnke M, Jonsson PR, Kvarnemo C, Pavia H, Rafajlović M, Rödström EM, Thorndyke M, Blomberg A. Ten years of marine evolutionary biology-Challenges and achievements of a multidisciplinary research initiative. Evol Appl 2023; 16:530-541. [PMID: 36793681 PMCID: PMC9923476 DOI: 10.1111/eva.13389] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 03/08/2022] [Accepted: 04/21/2022] [Indexed: 11/26/2022] Open
Abstract
The Centre for Marine Evolutionary Biology (CeMEB) at the University of Gothenburg, Sweden, was established in 2008 through a 10-year research grant of 8.7 m€ to a team of senior researchers. Today, CeMEB members have contributed >500 scientific publications, 30 PhD theses and have organised 75 meetings and courses, including 18 three-day meetings and four conferences. What are the footprints of CeMEB, and how will the centre continue to play a national and international role as an important node of marine evolutionary research? In this perspective article, we first look back over the 10 years of CeMEB activities and briefly survey some of the many achievements of CeMEB. We furthermore compare the initial goals, as formulated in the grant application, with what has been achieved, and discuss challenges and milestones along the way. Finally, we bring forward some general lessons that can be learnt from a research funding of this type, and we also look ahead, discussing how CeMEB's achievements and lessons can be used as a springboard to the future of marine evolutionary biology.
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Affiliation(s)
- Kerstin Johannesson
- Tjärnö Marine Laboratory, Department of Marine SciencesUniversity of GothenburgStrömstadSweden
| | - Erica H. Leder
- Tjärnö Marine Laboratory, Department of Marine SciencesUniversity of GothenburgStrömstadSweden
- Natural History MuseumUniversity of OsloOsloNorway
| | - Carl André
- Tjärnö Marine Laboratory, Department of Marine SciencesUniversity of GothenburgStrömstadSweden
| | - Sam Dupont
- Department of Biology and Environmental ScienceUniversity of Gothenburg, Kristineberg Marine Research StationFiskebäckskilSweden
- International Atomic Energy AgencyPrincipality of MonacoMonaco
| | - Susanne P. Eriksson
- Department of Biology and Environmental ScienceUniversity of Gothenburg, Kristineberg Marine Research StationFiskebäckskilSweden
| | - Karin Harding
- Department of Biology and Environmental ScienceUniversity of GothenburgGothenburgSweden
| | - Jonathan N. Havenhand
- Tjärnö Marine Laboratory, Department of Marine SciencesUniversity of GothenburgStrömstadSweden
| | - Marlene Jahnke
- Tjärnö Marine Laboratory, Department of Marine SciencesUniversity of GothenburgStrömstadSweden
| | - Per R. Jonsson
- Tjärnö Marine Laboratory, Department of Marine SciencesUniversity of GothenburgStrömstadSweden
| | - Charlotta Kvarnemo
- Department of Biology and Environmental ScienceUniversity of GothenburgGothenburgSweden
| | - Henrik Pavia
- Tjärnö Marine Laboratory, Department of Marine SciencesUniversity of GothenburgStrömstadSweden
| | - Marina Rafajlović
- Department of Marine SciencesUniversity of GothenburgGothenburgSweden
| | - Eva Marie Rödström
- Tjärnö Marine Laboratory, Department of Marine SciencesUniversity of GothenburgStrömstadSweden
| | - Michael Thorndyke
- Department of Biology and Environmental ScienceUniversity of Gothenburg, Kristineberg Marine Research StationFiskebäckskilSweden
- Department of Genomics Research in Ecology & Evolution in Nature (GREEN)Groningen Institute for Evolutionary Life Sciences (GELIFES)De Rijksuniversiteit GroningenGroningenThe Netherlands
| | - Anders Blomberg
- Department of Chemistry and Molecular BiologyUniversity of GothenburgGothenburgSweden
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5
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Alotaibi NM, Kenyon EJ, Bertelli CM, Al-Qthanin RN, Mead J, Parry M, Bull JC. Environment predicts seagrass genotype, phenotype, and associated biodiversity in a temperate ecosystem. FRONTIERS IN PLANT SCIENCE 2022; 13:887474. [PMID: 35991459 PMCID: PMC9386313 DOI: 10.3389/fpls.2022.887474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 07/11/2022] [Indexed: 06/15/2023]
Abstract
Coastal vegetative ecosystems are among the most threatened in the world, facing multiple anthropogenic stressors. A good example of this is seagrass, which supports carbon capture, coastal stabilization, and biodiversity, but is declining globally at an alarming rate. To understand the causes and consequences of changes to these ecosystems, we need to determine the linkages between different biotic and abiotic components. We used data on the seagrass, Zostera marina, collected by citizen scientists across 300 km of the south coast of the United Kingdom as a case study. We assembled data on seagrass genotype, phenotype, infauna, and associated bathymetry, light, sea surface temperature, and wave and current energy to test hypotheses on the distribution and diversity of this temperate sub-tidal ecosystem. We found spatial structure in population genetics, evident through local assortment of genotypes and isolation by distance across a broader geographic scale. By integrating our molecular data with information on seagrass phenotype and infauna, we demonstrate that these ecosystem components are primarily linked indirectly through the effects of shared environmental factors. It is unusual to examine genotypic, phenotypic, and environmental data in a single study, but this approach can inform both conservation and restoration of seagrass, as well as giving new insights into a widespread and important ecosystem.
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Affiliation(s)
- Nahaa M Alotaibi
- Department of Biosciences, Swansea University, Swansea, United Kingdom
- Department of Biology, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Emma J Kenyon
- Department of Biosciences, Swansea University, Swansea, United Kingdom
| | - Chiara M Bertelli
- Department of Biosciences, Swansea University, Swansea, United Kingdom
| | | | - Jessica Mead
- Ocean Conservation Trust, National Marine Aquarium, Plymouth, United Kingdom
| | - Mark Parry
- Ocean Conservation Trust, National Marine Aquarium, Plymouth, United Kingdom
| | - James C Bull
- Department of Biosciences, Swansea University, Swansea, United Kingdom
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6
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Leiva C, Riesgo A, Combosch D, Arias MB, Giribet G, Downey R, Kenny NJ, Taboada S. Guiding marine protected area network design with comparative phylogeography and population genomics: An exemplary case from the Southern Ocean. DIVERS DISTRIB 2022. [DOI: 10.1111/ddi.13590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Affiliation(s)
- Carlos Leiva
- Marine Laboratory University of Guam Mangilao Guam USA
- Life Sciences Department The Natural History Museum London UK
| | - Ana Riesgo
- Life Sciences Department The Natural History Museum London UK
- Department of Biodiversity and Evolutionary Biology National Museum of Natural Sciences (CSIC) Madrid Spain
| | - David Combosch
- Marine Laboratory University of Guam Mangilao Guam USA
- Museum of Comparative Zoology and Department of Organismic and Evolutionary Biology Harvard University Cambridge Massachusetts USA
| | - María Belén Arias
- Life Sciences Department The Natural History Museum London UK
- School of Life Sciences University of Essex Colchester Campus UK
| | - Gonzalo Giribet
- Museum of Comparative Zoology and Department of Organismic and Evolutionary Biology Harvard University Cambridge Massachusetts USA
| | - Rachel Downey
- Fenner School of Environment and Society Australian National University Acton Australian Capital Territory Australia
| | - Nathan James Kenny
- Life Sciences Department The Natural History Museum London UK
- Department of Biochemistry University of Otago Dunedin New Zealand
| | - Sergi Taboada
- Life Sciences Department The Natural History Museum London UK
- Departamento de Biodiversidad, Ecología y Evolución Universidad Complutense de Madrid Madrid Spain
- Departamento de Ciencias de la Vida, Apdo. 20 Universidad de Alcalá Alcalá de Henares Spain
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7
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Berkström C, Wennerström L, Bergström U. Ecological connectivity of the marine protected area network in the Baltic Sea, Kattegat and Skagerrak: Current knowledge and management needs. AMBIO 2022; 51:1485-1503. [PMID: 34964951 PMCID: PMC9005595 DOI: 10.1007/s13280-021-01684-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 11/08/2021] [Accepted: 11/29/2021] [Indexed: 05/31/2023]
Abstract
Marine protected areas (MPAs) have become a key component of conservation and fisheries management to alleviate anthropogenic pressures. For MPA networks to efficiently promote persistence and recovery of populations, ecological connectivity, i.e. dispersal and movement of organisms and material across ecosystems, needs to be taken into account. To improve the ecological coherence of MPA networks, there is hence a need to evaluate the connectivity of species spreading through active migration and passive dispersal. We reviewed knowledge on ecological connectivity in the Baltic Sea, Kattegat and Skagerrak in the northeast Atlantic and present available information on species-specific dispersal and migration distances. Studies on genetic connectivity are summarised and discussed in relation to dispersal-based analyses. Threats to ecological connectivity, limiting dispersal of populations and lowering the resilience to environmental change, were examined. Additionally, a review of studies evaluating the ecological coherence of MPA networks in the Baltic Sea, Kattegat and Skagerrak was performed, and suggestions for future evaluations to meet management needs are presented.
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Affiliation(s)
- Charlotte Berkström
- Department of Aquatic Resources, Swedish University of Agricultural Sciences, Institute of Coastal Research, Skolgatan 6, 742 42 Öregrund, Sweden
| | - Lovisa Wennerström
- Department of Aquatic Resources, Swedish University of Agricultural Sciences, Institute of Coastal Research, Skolgatan 6, 742 42 Öregrund, Sweden
| | - Ulf Bergström
- Department of Aquatic Resources, Swedish University of Agricultural Sciences, Institute of Coastal Research, Skolgatan 6, 742 42 Öregrund, Sweden
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8
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Jahnke M, Jonsson PR. Biophysical models of dispersal contribute to seascape genetic analyses. Philos Trans R Soc Lond B Biol Sci 2022; 377:20210024. [PMID: 35067094 PMCID: PMC8784932 DOI: 10.1098/rstb.2021.0024] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 10/23/2021] [Indexed: 12/20/2022] Open
Abstract
Dispersal is generally difficult to directly observe. Instead, dispersal is often inferred from genetic markers and biophysical modelling where a correspondence indicates that dispersal routes and barriers explain a significant part of population genetic differentiation. Biophysical models are used for wind-driven dispersal in terrestrial environments and for propagules drifting with ocean currents in the sea. In the ocean, such seascape genetic or seascape genomic studies provide promising tools in applied sciences, as actions within management and conservation rely on an understanding of population structure, genetic diversity and presence of local adaptations, all dependent on dispersal within the metapopulation. Here, we surveyed 87 studies that combine population genetics and biophysical models of dispersal. Our aim was to understand if biophysical dispersal models can generally explain genetic differentiation. Our analysis shows that genetic differentiation and lack of genetic differentiation can often be explained by dispersal, but the realism of the biophysical model, as well as local geomorphology and species biology also play a role. The review supports the use of a combination of both methods, and we discuss our findings in terms of recommendations for future studies and pinpoint areas where further development is necessary, particularly on how to compare both approaches. This article is part of the theme issue 'Species' ranges in the face of changing environments (part I)'.
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Affiliation(s)
- Marlene Jahnke
- Department of Marine Sciences, Tjärnö Marine Laboratory, University of Gothenburg, Strömstad 45296, Sweden
| | - Per R. Jonsson
- Department of Marine Sciences, Tjärnö Marine Laboratory, University of Gothenburg, Strömstad 45296, Sweden
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9
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Knutsen H, Catarino D, Rogers L, Sodeland M, Mattingsdal M, Jahnke M, Hutchings JA, Mellerud I, Espeland SH, Johanneson K, Roth O, Hansen MM, Jentoft S, André C, Jorde PE. Combining population genomics with demographic analyses highlights habitat patchiness and larval dispersal as determinants of connectivity in coastal fish species. Mol Ecol 2022; 31:2562-2577. [PMID: 35229385 PMCID: PMC9311693 DOI: 10.1111/mec.16415] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 02/11/2022] [Accepted: 02/17/2022] [Indexed: 11/30/2022]
Abstract
Gene flow shapes spatial genetic structure and the potential for local adaptation. Among marine animals with nonmigratory adults, the presence or absence of a pelagic larval stage is thought to be a key determinant in shaping gene flow and the genetic structure of populations. In addition, the spatial distribution of suitable habitats is expected to influence the distribution of biological populations and their connectivity patterns. We used whole genome sequencing to study demographic history and reduced representation (double‐digest restriction associated DNA) sequencing data to analyse spatial genetic structure in broadnosed pipefish (Syngnathus typhle). Its main habitat is eelgrass beds, which are patchily distributed along the study area in southern Norway. Demographic connectivity among populations was inferred from long‐term (~30‐year) population counts that uncovered a rapid decline in spatial correlations in abundance with distance as short as ~2 km. These findings were contrasted with data for two other fish species that have a pelagic larval stage (corkwing wrasse, Symphodus melops; black goby, Gobius niger). For these latter species, we found wider spatial scales of connectivity and weaker genetic isolation‐by‐distance patterns, except where both species experienced a strong barrier to gene flow, seemingly due to lack of suitable habitat. Our findings verify expectations that a fragmented habitat and absence of a pelagic larval stage promote genetic structure, while presence of a pelagic larvae stage increases demographic connectivity and gene flow, except perhaps over extensive habitat gaps.
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Affiliation(s)
- Halvor Knutsen
- Institute of Marine Research, Nye Flødevigveien 20, 4817, His, Norway.,Centre for Coastal Research, Department of Natural Sciences, University of Agder, 4630, Kristiansand, Norway
| | - Diana Catarino
- Centre for Coastal Research, Department of Natural Sciences, University of Agder, 4630, Kristiansand, Norway
| | - Lauren Rogers
- Alaska Fisheries Science Center, National Oceanic and Atmospheric Administration, 7600 Sand Point Way NE, Seattle, WA, 98115, USA
| | - Marte Sodeland
- Centre for Coastal Research, Department of Natural Sciences, University of Agder, 4630, Kristiansand, Norway
| | - Morten Mattingsdal
- Centre for Coastal Research, Department of Natural Sciences, University of Agder, 4630, Kristiansand, Norway
| | - Marlene Jahnke
- Department of Marine Sciences - Tjärnö, University of Gothenburg, 45296, Strömstad, Sweden
| | - Jeffrey A Hutchings
- Institute of Marine Research, Nye Flødevigveien 20, 4817, His, Norway.,Centre for Coastal Research, Department of Natural Sciences, University of Agder, 4630, Kristiansand, Norway.,Department of Biology, Dalhousie University, Halifax, NS, Canada
| | - Ida Mellerud
- Institute of Marine Research, Nye Flødevigveien 20, 4817, His, Norway
| | - Sigurd H Espeland
- Institute of Marine Research, Nye Flødevigveien 20, 4817, His, Norway.,Centre for Coastal Research, Department of Natural Sciences, University of Agder, 4630, Kristiansand, Norway
| | - Kerstin Johanneson
- Department of Marine Sciences - Tjärnö, University of Gothenburg, 45296, Strömstad, Sweden
| | - Olivia Roth
- Marine Evolutionary Biology, Zoological Institute, Kiel University, Germany
| | - Michael M Hansen
- Department of Biology, Aarhus University, 8000, Aarhus C, Denmark
| | - Sissel Jentoft
- University of Oslo, Department of Biology, 0316, Oslo, Norway
| | - Carl André
- Department of Marine Sciences - Tjärnö, University of Gothenburg, 45296, Strömstad, Sweden
| | - Per Erik Jorde
- Institute of Marine Research, Nye Flødevigveien 20, 4817, His, Norway
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10
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Moksnes P, Röhr ME, Holmer M, Eklöf JS, Eriander L, Infantes E, Boström C. Major impacts and societal costs of seagrass loss on sediment carbon and nitrogen stocks. Ecosphere 2021. [DOI: 10.1002/ecs2.3658] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Per‐Olav Moksnes
- Department of Marine Sciences University of Gothenburg Gothenburg S‐40530 Sweden
| | - Maria Emilia Röhr
- Environmental and Marine Biology Åbo Akademi University Tykistökatu 6 Turku 20520 Finland
| | - Marianne Holmer
- Department of Biology University of Southern Denmark Campusvej 55 Odense M DK 5230 Denmark
| | - Johan S. Eklöf
- Department of Ecology Environment and Plant Sciences Stockholm University Svante Arrhenius väg 20A, S‐106 91 Stockholm Sweden
| | - Louise Eriander
- Department of Marine Sciences University of Gothenburg Gothenburg S‐40530 Sweden
| | - Eduardo Infantes
- Department of Marine Sciences University of Gothenburg Kristineberg S‐45178 Sweden
| | - Christoffer Boström
- Environmental and Marine Biology Åbo Akademi University Tykistökatu 6 Turku 20520 Finland
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11
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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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