1
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Leigh DM, Vandergast AG, Hunter ME, Crandall ED, Funk WC, Garroway CJ, Hoban S, Oyler-McCance SJ, Rellstab C, Segelbacher G, Schmidt C, Vázquez-Domínguez E, Paz-Vinas I. Best practices for genetic and genomic data archiving. Nat Ecol Evol 2024:10.1038/s41559-024-02423-7. [PMID: 38789640 DOI: 10.1038/s41559-024-02423-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 04/25/2024] [Indexed: 05/26/2024]
Abstract
Genetic and genomic data are collected for a vast array of scientific and applied purposes. Despite mandates for public archiving, data are typically used only by the generating authors. The reuse of genetic and genomic datasets remains uncommon because it is difficult, if not impossible, due to non-standard archiving practices and lack of contextual metadata. But as the new field of macrogenetics is demonstrating, if genetic data and their metadata were more accessible and FAIR (findable, accessible, interoperable and reusable) compliant, they could be reused for many additional purposes. We discuss the main challenges with existing genetic and genomic data archives, and suggest best practices for archiving genetic and genomic data. Recognizing that this is a longstanding issue due to little formal data management training within the fields of ecology and evolution, we highlight steps that research institutions and publishers could take to improve data archiving.
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Affiliation(s)
- Deborah M Leigh
- Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
| | - Amy G Vandergast
- US Geological Survey, Western Ecological Research Center, San Diego, CA, USA
| | - Margaret E Hunter
- US Geological Survey, Wetland & Aquatic Research Center, Gainesville, FL, USA
| | - Eric D Crandall
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - W Chris Funk
- Department of Biology, Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA
| | - Colin J Garroway
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Sean Hoban
- Center for Tree Science, The Morton Arboretum, Lisle, IL, USA
| | | | | | | | - Chloé Schmidt
- German Centre for Integrative Biodiversity Research Halle-Jena-Leipzig, Leipzig, Germany
| | - Ella Vázquez-Domínguez
- Departamento de Ecología de la Biodiversidad, Instituto de Ecología, Universidad Nacional Autónoma de México, Coyoacán, Ciudad de México, México
| | - Ivan Paz-Vinas
- Department of Biology, Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA
- Universite Claude Bernard Lyon 1, LEHNA UMR 5023, CNRS, ENTPE, Villeurbanne, France
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2
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Clark RD, Pinsky ML. Global patterns of nuclear and mitochondrial genetic diversity in marine fishes. Ecol Evol 2024; 14:e11365. [PMID: 38711488 PMCID: PMC11070773 DOI: 10.1002/ece3.11365] [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: 04/04/2024] [Accepted: 04/19/2024] [Indexed: 05/08/2024] Open
Abstract
Genetic diversity is a fundamental component of biodiversity. Examination of global patterns of genetic diversity can help highlight mechanisms underlying species diversity, though a recurring challenge has been that patterns may vary by molecular marker. Here, we compiled 6862 observations of genetic diversity from 492 species of marine fish and tested among hypotheses for diversity gradients: the founder effect hypothesis, the kinetic energy hypothesis, and the productivity-diversity hypothesis. We fit generalized linear mixed effect models (GLMMs) and explored the extent to which various macroecological drivers (latitude, longitude, temperature (SST), and chlorophyll-a concentration) explained variation in genetic diversity. We found that mitochondrial genetic diversity followed geographic gradients similar to those of species diversity, being highest near the Equator, particularly in the Coral Triangle, while nuclear genetic diversity did not follow clear geographic patterns. Despite these differences, all genetic diversity metrics were correlated with chlorophyll-a concentration, while mitochondrial diversity was also positively associated with SST. Our results provide support for the kinetic energy hypothesis, which predicts that elevated mutation rates at higher temperatures increase mitochondrial but not necessarily nuclear diversity, and the productivity-diversity hypothesis, which posits that resource-rich regions support larger populations with greater genetic diversity. Overall, these findings reveal how environmental variables can influence mutation rates and genetic drift in the ocean, caution against using mitochondrial macrogenetic patterns as proxies for whole-genome diversity, and aid in defining global gradients of genetic diversity.
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Affiliation(s)
- René D. Clark
- Department of BiologyDrexel UniversityPhiladelphiaPennsylvaniaUSA
| | - Malin L. Pinsky
- Department of Ecology and Evolutionary BiologyUniversity of California Santa CruzSanta CruzCaliforniaUSA
- Department of Ecology, Evolution, and Natural ResourcesRutgers UniversityNew BrunswickNew JerseyUSA
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3
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Yatsuyanagi T, Kanbe T, Fujii K, Inoue S, Araki H. Environmental DNA unveils deep phylogeographic structure of a freshwater fish. Mol Ecol 2024; 33:e17337. [PMID: 38558465 DOI: 10.1111/mec.17337] [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: 10/19/2023] [Revised: 03/14/2024] [Accepted: 03/21/2024] [Indexed: 04/04/2024]
Abstract
Phylogeography bears an important part in ecology and evolution. However, current phylogeographic studies are largely constrained by limited numbers of individual samples. Using an environmental DNA (eDNA) assay for phylogeographic analyses, this study provides detailed information regarding the history of Siberian stone loach Barbatula toni, a primary freshwater fish across the whole range of Hokkaido, Japan. Based on an eDNA metabarcoding on 293 river water samples, we detected eDNA from B. toni in 189 rivers. A total of 51 samples, representing the entire island, were then selected from the B. toni eDNA-positive sample set for the subsequent analyses. To elucidate the phylogeographic structure of B. toni, newly developed eDNA metabarcoding primers (Barba-cytb-F/R) were applied to these samples, specifically targeting their haplotypic variation in cytochrome b. After a bioinformatic processing to mitigate haplotypic false positives, a total of 50 eDNA haplotypes were identified. Two regionally restricted, genetically distinct lineages of the species were revealed as a result of phylogeographic analyses on the haplotypes and tissue-derived DNA from B. toni. According to a molecular clock analysis, they have been genetically isolated for at least 1.5 million years, suggesting their ancient origin and colonisation of Hokkaido, presumably in the glacial periods. These results demonstrate how freshwater fishes can alter their distributions over evolutionary timescales and how eDNA assay can deepen our understanding of phylogeography.
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Affiliation(s)
| | - Takashi Kanbe
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
| | - Kazuya Fujii
- Graduate School of Agriculture, Hokkaido University, Sapporo, Japan
- Fukuda Hydrologic Center, Sapporo, Japan
| | - Shouko Inoue
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
| | - Hitoshi Araki
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
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4
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Taylor RS, Manseau M, Keobouasone S, Liu P, Mastromonaco G, Solmundson K, Kelly A, Larter NC, Gamberg M, Schwantje H, Thacker C, Polfus J, Andrew L, Hervieux D, Simmons D, Wilson PJ. High genetic load without purging in caribou, a diverse species at risk. Curr Biol 2024; 34:1234-1246.e7. [PMID: 38417444 DOI: 10.1016/j.cub.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/17/2023] [Accepted: 02/01/2024] [Indexed: 03/01/2024]
Abstract
High intra-specific genetic diversity is associated with adaptive potential, which is key for resilience to global change. However, high variation may also support deleterious alleles through genetic load, thereby increasing the risk of inbreeding depression if population sizes decrease. Purging of deleterious variation has been demonstrated in some threatened species. However, less is known about the costs of declines and inbreeding in species with large population sizes and high genetic diversity even though this encompasses many species globally that are expected to undergo population declines. Caribou is a species of ecological and cultural significance in North America with a wide distribution supporting extensive phenotypic variation but with some populations undergoing significant declines resulting in their at-risk status in Canada. We assessed intra-specific genetic variation, adaptive divergence, inbreeding, and genetic load across populations with different demographic histories using an annotated chromosome-scale reference genome and 66 whole-genome sequences. We found high genetic diversity and nine phylogenomic lineages across the continent with adaptive diversification of genes, but also high genetic load among lineages. We found highly divergent levels of inbreeding across individuals, including the loss of alleles by drift but not increased purging in inbred individuals, which had more homozygous deleterious alleles. We also found comparable frequencies of homozygous deleterious alleles between lineages regardless of nucleotide diversity. Thus, further inbreeding may need to be mitigated through conservation efforts. Our results highlight the "double-edged sword" of genetic diversity that may be representative of other species atrisk affected by anthropogenic activities.
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Affiliation(s)
- Rebecca S Taylor
- Landscape Science and Technology, Environment and Climate Change Canada, Colonel By Drive, Ottawa, ON K1S 5B6, Canada.
| | - Micheline Manseau
- Landscape Science and Technology, Environment and Climate Change Canada, Colonel By Drive, Ottawa, ON K1S 5B6, Canada
| | - Sonesinh Keobouasone
- Landscape Science and Technology, Environment and Climate Change Canada, Colonel By Drive, Ottawa, ON K1S 5B6, Canada
| | - Peng Liu
- Landscape Science and Technology, Environment and Climate Change Canada, Colonel By Drive, Ottawa, ON K1S 5B6, Canada
| | | | - Kirsten Solmundson
- Environmental & Life Sciences Graduate Program, Trent University, Peterborough, ON K9L 1Z8, Canada
| | - Allicia Kelly
- Department of Environment and Natural Resources, Government of Northwest Territories, PO Box 900, Fort Smith, NT X0E 0P0, Canada
| | - Nicholas C Larter
- Department of Environment and Natural Resources, Government of Northwest Territories, PO Box 900, Fort Smith, NT X0E 0P0, Canada
| | - Mary Gamberg
- Gamberg Consulting, Jarvis Street, Whitehorse, YK Y1A 2J2, Canada
| | - Helen Schwantje
- British Columbia Ministry of Forest, Lands, Natural Resource Operations, and Rural Development, Labieux Road, Nanaimo, BC V9T 6E9, Canada
| | - Caeley Thacker
- British Columbia Ministry of Forest, Lands, Natural Resource Operations, and Rural Development, Labieux Road, Nanaimo, BC V9T 6E9, Canada
| | - Jean Polfus
- Canadian Wildlife Service - Pacific Region, Environment and Climate Change Canada, 1238 Discovery Avenue, Kelowna, BC V1V 1V9, Canada
| | - Leon Andrew
- Ɂehdzo Got'ı̨nę Gots'ę́ Nákedı (Sahtú Renewable Resources Board), P.O. Box 134, Tulít'a, NT X0E 0K0, Canada
| | - Dave Hervieux
- Alberta Ministry of Environment and Protected Areas, Government of Alberta, 10320-99 Street, Grande Prairie, AB T8V 6J4, Canada
| | - Deborah Simmons
- Ɂehdzo Got'ı̨nę Gots'ę́ Nákedı (Sahtú Renewable Resources Board), P.O. Box 134, Tulít'a, NT X0E 0K0, Canada
| | - Paul J Wilson
- Biology Department, Trent University, East Bank Drive, Peterborough, ON K9L 1Z8, Canada
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5
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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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6
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Hartig F, Abrego N, Bush A, Chase JM, Guillera-Arroita G, Leibold MA, Ovaskainen O, Pellissier L, Pichler M, Poggiato G, Pollock L, Si-Moussi S, Thuiller W, Viana DS, Warton DI, Zurell D, Yu DW. Novel community data in ecology-properties and prospects. Trends Ecol Evol 2024; 39:280-293. [PMID: 37949795 DOI: 10.1016/j.tree.2023.09.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 09/28/2023] [Accepted: 09/29/2023] [Indexed: 11/12/2023]
Abstract
New technologies for monitoring biodiversity such as environmental (e)DNA, passive acoustic monitoring, and optical sensors promise to generate automated spatiotemporal community observations at unprecedented scales and resolutions. Here, we introduce 'novel community data' as an umbrella term for these data. We review the emerging field around novel community data, focusing on new ecological questions that could be addressed; the analytical tools available or needed to make best use of these data; and the potential implications of these developments for policy and conservation. We conclude that novel community data offer many opportunities to advance our understanding of fundamental ecological processes, including community assembly, biotic interactions, micro- and macroevolution, and overall ecosystem functioning.
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Affiliation(s)
- Florian Hartig
- Theoretical Ecology, University of Regensburg, Regensburg, Germany.
| | - Nerea Abrego
- Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35 (Survontie 9C), FI-40014 Jyväskylä, Finland
| | - Alex Bush
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | - Jonathan M Chase
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | | | | | - Otso Ovaskainen
- Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35 (Survontie 9C), FI-40014 Jyväskylä, Finland; Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, P.O. Box 65, Helsinki 00014, Finland
| | - Loïc Pellissier
- Ecosystems and Landscape Evolution, Institute of Terrestrial Ecosystems, Department of Environmental Systems Science, ETH Zürich, 8092 Zurich, Switzerland; Unit of Land Change Science, Swiss Federal Research Institute for Forest, Snow and Landscape Research (WSL), 8903 Birmensdorf, Switzerland
| | | | - Giovanni Poggiato
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, F38000, Grenoble, France
| | - Laura Pollock
- Department of Biology, McGill University, Montreal, Quebec, Canada
| | - Sara Si-Moussi
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, F38000, Grenoble, France
| | - Wilfried Thuiller
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, F38000, Grenoble, France
| | | | | | | | - Douglas W Yu
- Kunming Institute of Zoology; Yunnan, China; University of East Anglia, Norfolk, UK
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7
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Schmidt C, Hoban S, Jetz W. Conservation macrogenetics: harnessing genetic data to meet conservation commitments. Trends Genet 2023; 39:816-829. [PMID: 37648576 DOI: 10.1016/j.tig.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 08/03/2023] [Accepted: 08/03/2023] [Indexed: 09/01/2023]
Abstract
Genetic biodiversity is rapidly gaining attention in global conservation policy. However, for almost all species, conservation relevant, population-level genetic data are lacking, limiting the extent to which genetic diversity can be used for conservation policy and decision-making. Macrogenetics is an emerging discipline that explores the patterns and processes underlying population genetic composition at broad taxonomic and spatial scales by aggregating and reanalyzing thousands of published genetic datasets. Here we argue that focusing macrogenetic tools on conservation needs, or conservation macrogenetics, will enhance decision-making for conservation practice and fill key data gaps for global policy. Conservation macrogenetics provides an empirical basis for better understanding the complexity and resilience of biological systems and, thus, how anthropogenic drivers and policy decisions affect biodiversity.
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Affiliation(s)
- Chloé Schmidt
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA; Center for Biodiversity and Global Change, Yale University, New Haven, CT, USA; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
| | - Sean Hoban
- The Center for Tree Science, The Morton Arboretum, Lisle, IL, USA
| | - Walter Jetz
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA; Center for Biodiversity and Global Change, Yale University, New Haven, CT, USA
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8
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Hrabina P, Pernerová L, Suchomel J, Robovský J. Utility of cytochrome c oxidase I for the deciphering of unstable phylogeny and taxonomy of gorals, genus Nemorhaedus Hamilton Smith, 1827 (Bovidae, Ovibovina). Zookeys 2023; 1181:81-110. [PMID: 38313159 PMCID: PMC10838175 DOI: 10.3897/zookeys.1181.108019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 09/04/2023] [Indexed: 02/06/2024] Open
Abstract
Gorals represent ungulate mammals of the Palearctic and Indo-Malayan realms that face habitat destruction and intense hunting pressure. Their classification has been the subject of various (mainly genetic) assessments in the last decade, but some results are conflicting, hampering some conservation-based decisions. Genetic sampling of gorals has increased considerably in recent years, at least for mitochondrial (mt) DNA. Results based on two mt genes (cytochrome b and the D-loop) are currently available. Still, the utility of cytochrome oxidase subunit I remains unanalysed, even though it belongs among the gene markers that enable a correct species identification in mammals. This study examines phylogenetic relationships and species delimitation in gorals using all currently available cytochrome oxidase subunit I sequences, including the not yet analysed goral population from Pakistan. Our results of various phylogenetic approaches, such as maximum parsimony, likelihood and Bayesian inference, and exploration of species boundaries via species delimitation support the validity of six species of goral, namely N.baileyi, N.caudatus, N.cranbrooki, N.evansi, N.goral, and N.griseus. This result accords well with results based on other mt genes, especially the cytochrome b from the highly exhaustive data sampling. Our study also summarises common sources of errors in the assessment of goral phylogeny and taxonomy and highlights future priorities in understanding goral diversification.
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Affiliation(s)
- Petr Hrabina
- Department of Zoology, Fisheries, Hydrobiology and Apiculture, Mendel University in Brno, Zemědělská 1, Brno, 61300, Czech Republic Mendel University in Brno Brno Czech Republic
| | - Ludmila Pernerová
- Department of Zoology, Faculty of Science, University of South Bohemia, Branišovská 1760, České Budějovice, 37005, Czech Republic University of South Bohemia České Budějovice Czech Republic
| | - Josef Suchomel
- Department of Zoology, Fisheries, Hydrobiology and Apiculture, Mendel University in Brno, Zemědělská 1, Brno, 61300, Czech Republic Mendel University in Brno Brno Czech Republic
| | - Jan Robovský
- Department of Zoology, Faculty of Science, University of South Bohemia, Branišovská 1760, České Budějovice, 37005, Czech Republic University of South Bohemia České Budějovice Czech Republic
- Liberec Zoo, Lidové sady 425/1, Liberec, 46001, Czech Republic Liberec Zoo Liberec Czech Republic
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9
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Fonseca EM, Pelletier TA, Decker SK, Parsons DJ, Carstens BC. Pleistocene glaciations caused the latitudinal gradient of within-species genetic diversity. Evol Lett 2023; 7:331-338. [PMID: 37829497 PMCID: PMC10565891 DOI: 10.1093/evlett/qrad030] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 06/26/2023] [Accepted: 07/10/2023] [Indexed: 10/14/2023] Open
Abstract
Intraspecific genetic diversity is a key aspect of biodiversity. Quaternary climatic change and glaciation influenced intraspecific genetic diversity by promoting range shifts and population size change. However, the extent to which glaciation affected genetic diversity on a global scale is not well established. Here we quantify nucleotide diversity, a common metric of intraspecific genetic diversity, in more than 38,000 plant and animal species using georeferenced DNA sequences from millions of samples. Results demonstrate that tropical species contain significantly more intraspecific genetic diversity than nontropical species. To explore potential evolutionary processes that may have contributed to this pattern, we calculated summary statistics that measure population demographic change and detected significant correlations between these statistics and latitude. We find that nontropical species are more likely to deviate from neutral expectations, indicating that they have historically experienced dramatic fluctuations in population size likely associated with Pleistocene glacial cycles. By analyzing the most comprehensive data set to date, our results imply that Quaternary climate perturbations may be more important as a process driving the latitudinal gradient in species richness than previously appreciated.
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Affiliation(s)
- Emanuel M Fonseca
- Department of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, OH, United States
| | - Tara A Pelletier
- Department of Biology, Radford University, Radford, VA, United States
| | - Sydney K Decker
- Department of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, OH, United States
| | - Danielle J Parsons
- Department of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, OH, United States
| | - Bryan C Carstens
- Department of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, OH, United States
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10
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Richardson K, Steffen W, Lucht W, Bendtsen J, Cornell SE, Donges JF, Drüke M, Fetzer I, Bala G, von Bloh W, Feulner G, Fiedler S, Gerten D, Gleeson T, Hofmann M, Huiskamp W, Kummu M, Mohan C, Nogués-Bravo D, Petri S, Porkka M, Rahmstorf S, Schaphoff S, Thonicke K, Tobian A, Virkki V, Wang-Erlandsson L, Weber L, Rockström J. Earth beyond six of nine planetary boundaries. SCIENCE ADVANCES 2023; 9:eadh2458. [PMID: 37703365 PMCID: PMC10499318 DOI: 10.1126/sciadv.adh2458] [Citation(s) in RCA: 73] [Impact Index Per Article: 73.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 07/12/2023] [Indexed: 09/15/2023]
Abstract
This planetary boundaries framework update finds that six of the nine boundaries are transgressed, suggesting that Earth is now well outside of the safe operating space for humanity. Ocean acidification is close to being breached, while aerosol loading regionally exceeds the boundary. Stratospheric ozone levels have slightly recovered. The transgression level has increased for all boundaries earlier identified as overstepped. As primary production drives Earth system biosphere functions, human appropriation of net primary production is proposed as a control variable for functional biosphere integrity. This boundary is also transgressed. Earth system modeling of different levels of the transgression of the climate and land system change boundaries illustrates that these anthropogenic impacts on Earth system must be considered in a systemic context.
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Affiliation(s)
- Katherine Richardson
- Globe Institute, Faculty of Health, University of Copenhagen, Copenhagen, Denmark
| | - Will Steffen
- Australian National University, Canberra, Australia
| | - Wolfgang Lucht
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
- Department of Geography, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Jørgen Bendtsen
- Globe Institute, Faculty of Health, University of Copenhagen, Copenhagen, Denmark
| | - Sarah E. Cornell
- Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
| | - Jonathan F. Donges
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
- Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
| | - Markus Drüke
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
| | - Ingo Fetzer
- Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
- Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
| | - Govindasamy Bala
- Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bangalore, Karnataka – 560012, India
| | - Werner von Bloh
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
| | - Georg Feulner
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
| | - Stephanie Fiedler
- GEOMAR Helmholtz Centre for Ocean Research Kiel and Faculty for Mathematics and Natural Sciences, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Dieter Gerten
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
- Department of Geography, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Tom Gleeson
- Department of Civil Engineering, University of Victoria, Victoria, British Columbia, Canada
- School of Earth and Ocean Sciences, University of Victoria, Victoria, British Columbia, Canada
| | - Matthias Hofmann
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
| | - Willem Huiskamp
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
| | - Matti Kummu
- Water and Development Research Group, Aalto University, Espoo, Finland
| | - Chinchu Mohan
- GEOMAR Helmholtz Centre for Ocean Research Kiel and Faculty for Mathematics and Natural Sciences, Christian-Albrechts-University Kiel, Kiel, Germany
- Global Institute for Water Security, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
- Waterplan (YC S21), San Francisco, CA, USA
| | - David Nogués-Bravo
- Globe Institute, Faculty of Health, University of Copenhagen, Copenhagen, Denmark
| | - Stefan Petri
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
| | - Miina Porkka
- Water and Development Research Group, Aalto University, Espoo, Finland
| | - Stefan Rahmstorf
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
- Institute of Physics and Astronomy, University of Potsdam, Potsdam, Germany
| | - Sibyll Schaphoff
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
| | - Kirsten Thonicke
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
| | - Arne Tobian
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
- Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
| | - Vili Virkki
- Water and Development Research Group, Aalto University, Espoo, Finland
| | - Lan Wang-Erlandsson
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
- Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
- Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
| | - Lisa Weber
- GEOMAR Helmholtz Centre for Ocean Research Kiel and Faculty for Mathematics and Natural Sciences, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Johan Rockström
- Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
- Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
- Institute for Environmental Science and Geography, University of Potsdam, Potsdam, Germany
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11
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Lehnert SJ, Bradbury IR, Wringe BF, Van Wyngaarden M, Bentzen P. Multifaceted framework for defining conservation units: An example from Atlantic salmon ( Salmo salar) in Canada. Evol Appl 2023; 16:1568-1585. [PMID: 37752960 PMCID: PMC10519414 DOI: 10.1111/eva.13587] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 07/12/2023] [Accepted: 07/26/2023] [Indexed: 09/28/2023] Open
Abstract
Conservation units represent important components of intraspecific diversity that can aid in prioritizing and protecting at-risk populations, while also safeguarding unique diversity that can contribute to species resilience. In Canada, identification and assessments of conservation units is done by the Committee on the Status of Endangered Wildlife in Canada (COSEWIC). COSEWIC can recognize conservation units below the species level (termed "designatable units"; DUs) if the unit has attributes that make it both discrete and evolutionarily significant. There are various ways in which a DU can meet criteria of discreteness and significance, and increasing access to "big data" is providing unprecedented information that can directly inform both criteria. Specifically, the incorporation of genomic data for an increasing number of non-model species is informing more COSEWIC assessments; thus, a repeatable, robust framework is needed for integrating these data into DU characterization. Here, we develop a framework that uses a multifaceted, weight of evidence approach to incorporate multiple data types, including genetic and genomic data, to inform COSEWIC DUs. We apply this framework to delineate DUs of Atlantic salmon (Salmo salar, L.), an economically, culturally, and ecologically significant species, that is also characterized by complex hierarchical population structure. Specifically, we focus on an in-depth example of how our approach was applied to a previously data limited region of northern Canada that was defined by a single large DU. Application of our framework with newly available genetic and genomic data led to subdividing this DU into three new DUs. Although our approach was developed to meet criteria of COSEWIC, it is widely applicable given similarities in the definitions of a conservation unit.
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Affiliation(s)
- Sarah J. Lehnert
- Northwest Atlantic Fisheries CentreFisheries and Oceans CanadaSt. John'sNewfoundland and LabradorCanada
| | - Ian R. Bradbury
- Northwest Atlantic Fisheries CentreFisheries and Oceans CanadaSt. John'sNewfoundland and LabradorCanada
| | - Brendan F. Wringe
- Bedford Institute of OceanographyFisheries and Oceans CanadaDartmouthNova ScotiaCanada
| | | | - Paul Bentzen
- Biology DepartmentDalhousie UniversityHalifaxNova ScotiaCanada
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12
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Bharti DK, Pawar PY, Edgecombe GD, Joshi J. Genetic diversity varies with species traits and latitude in predatory soil arthropods (Myriapoda: Chilopoda). GLOBAL ECOLOGY AND BIOGEOGRAPHY : A JOURNAL OF MACROECOLOGY 2023; 32:1508-1521. [PMID: 38708411 PMCID: PMC7615927 DOI: 10.1111/geb.13709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 05/13/2023] [Indexed: 05/07/2024]
Abstract
Aim To investigate the drivers of intra-specific genetic diversity in centipedes, a group of ancient predatory soil arthropods. Location Asia, Australasia and Europe. Time Period Present. Major Taxa Studied Centipedes (Class: Chilopoda). Methods We assembled a database of 1245 mitochondrial cytochrome c oxidase subunit I sequences representing 128 centipede species from all five orders of Chilopoda. This sequence dataset was used to estimate genetic diversity for centipede species and compare its distribution with estimates from other arthropod groups. We studied the variation in centipede genetic diversity with species traits and biogeography using a beta regression framework, controlling for the effect of shared evolutionary history within a family. Results A wide variation in genetic diversity across centipede species (0-0.1713) falls towards the higher end of values among arthropods. Overall, 27.57% of the variation in mitochondrial COI genetic diversity in centipedes was explained by a combination of predictors related to life history and biogeography. Genetic diversity decreased with body size and latitudinal position of sampled localities, was greater in species showing maternal care and increased with geographic distance among conspecifics. Main Conclusions Centipedes fall towards the higher end of genetic diversity among arthropods, which may be related to their long evolutionary history and low dispersal ability. In centipedes, the negative association of body size with genetic diversity may be mediated by its influence on local abundance or the influence of ecological strategy on long-term population history. Species with maternal care had higher genetic diversity, which goes against expectations and needs further scrutiny. Hemispheric differences in genetic diversity can be due to historic climatic stability and lower seasonality in the southern hemisphere. Overall, we find that despite the differences in mean genetic diversity among animals, similar processes related to life-history strategy and biogeography are associated with the variation within them.
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Affiliation(s)
- D. K. Bharti
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
| | | | | | - Jahnavi Joshi
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
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13
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French CM, Bertola LD, Carnaval AC, Economo EP, Kass JM, Lohman DJ, Marske KA, Meier R, Overcast I, Rominger AJ, Staniczenko PPA, Hickerson MJ. Global determinants of insect mitochondrial genetic diversity. Nat Commun 2023; 14:5276. [PMID: 37644003 PMCID: PMC10465557 DOI: 10.1038/s41467-023-40936-0] [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: 01/20/2022] [Accepted: 08/15/2023] [Indexed: 08/31/2023] Open
Abstract
Understanding global patterns of genetic diversity is essential for describing, monitoring, and preserving life on Earth. To date, efforts to map macrogenetic patterns have been restricted to vertebrates, which comprise only a small fraction of Earth's biodiversity. Here, we construct a global map of predicted insect mitochondrial genetic diversity from cytochrome c oxidase subunit 1 sequences, derived from open data. We calculate the mitochondrial genetic diversity mean and genetic diversity evenness of insect assemblages across the globe, identify their environmental correlates, and make predictions of mitochondrial genetic diversity levels in unsampled areas based on environmental data. Using a large single-locus genetic dataset of over 2 million globally distributed and georeferenced mtDNA sequences, we find that mitochondrial genetic diversity evenness follows a quadratic latitudinal gradient peaking in the subtropics. Both mitochondrial genetic diversity mean and evenness positively correlate with seasonally hot temperatures, as well as climate stability since the last glacial maximum. Our models explain 27.9% and 24.0% of the observed variation in mitochondrial genetic diversity mean and evenness in insects, respectively, making an important step towards understanding global biodiversity patterns in the most diverse animal taxon.
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Affiliation(s)
- Connor M French
- Biology Department, City College of New York, New York, NY, USA.
- Biology Ph.D. Program, Graduate Center, City University of New York, New York, NY, USA.
| | - Laura D Bertola
- Biology Department, City College of New York, New York, NY, USA
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, N 2200, Denmark
| | - Ana C Carnaval
- Biology Department, City College of New York, New York, NY, USA
- Biology Ph.D. Program, Graduate Center, City University of New York, New York, NY, USA
| | - Evan P Economo
- Biodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa, Japan
| | - Jamie M Kass
- Biodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa, Japan
- Macroecology Laboratory, Graduate School of Life Sciences, Tohoku University, Sendai, Miyagi, Japan
| | - David J Lohman
- Biology Department, City College of New York, New York, NY, USA
- Biology Ph.D. Program, Graduate Center, City University of New York, New York, NY, USA
- Entomology Section, National Museum of Natural History, Manila, Philippines
| | | | - Rudolf Meier
- Institut für Biologie, Humboldt-Universität zu Berlin, Berlin, Germany
- Center for Integrative Biodiversity Discovery, Leibniz Institute for Evolution and Biodiversity Science, Museum für Naturkunde Berlin, Berlin, Germany
| | - Isaac Overcast
- Biology Ph.D. Program, Graduate Center, City University of New York, New York, NY, USA
- Institut de Biologie de l'Ecole Normale Superieure, Paris, France
- Department of Vertebrate Zoology, American Museum of Natural History, New York, NY, USA
| | - Andrew J Rominger
- School of Biology and Ecology, University of Maine, Orono, ME, USA
- Maine Center for Genetics in the Environment, University of Maine, Orono, ME, USA
| | | | - Michael J Hickerson
- Biology Department, City College of New York, New York, NY, USA
- Biology Ph.D. Program, Graduate Center, City University of New York, New York, NY, USA
- Division of Invertebrate Zoology, American Museum of Natural History, New York, NY, USA
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14
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Dornelas M, Chase JM, Gotelli NJ, Magurran AE, McGill BJ, Antão LH, Blowes SA, Daskalova GN, Leung B, Martins IS, Moyes F, Myers-Smith IH, Thomas CD, Vellend M. Looking back on biodiversity change: lessons for the road ahead. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220199. [PMID: 37246380 DOI: 10.1098/rstb.2022.0199] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 03/24/2023] [Indexed: 05/30/2023] Open
Abstract
Estimating biodiversity change across the planet in the context of widespread human modification is a critical challenge. Here, we review how biodiversity has changed in recent decades across scales and taxonomic groups, focusing on four diversity metrics: species richness, temporal turnover, spatial beta-diversity and abundance. At local scales, change across all metrics includes many examples of both increases and declines and tends to be centred around zero, but with higher prevalence of declining trends in beta-diversity (increasing similarity in composition across space or biotic homogenization) and abundance. The exception to this pattern is temporal turnover, with changes in species composition through time observed in most local assemblages. Less is known about change at regional scales, although several studies suggest that increases in richness are more prevalent than declines. Change at the global scale is the hardest to estimate accurately, but most studies suggest extinction rates are probably outpacing speciation rates, although both are elevated. Recognizing this variability is essential to accurately portray how biodiversity change is unfolding, and highlights how much remains unknown about the magnitude and direction of multiple biodiversity metrics at different scales. Reducing these blind spots is essential to allow appropriate management actions to be deployed. This article is part of the theme issue 'Detecting and attributing the causes of biodiversity change: needs, gaps and solutions'.
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Affiliation(s)
- Maria Dornelas
- Centre for Biological Diversity, University of St Andrews, St Andrews KY16 9TH, UK
- Guia Marine Laboratory, MARE, Faculdade de Ciencias da Universidade de Lisboa, Cascais 2750-374, Portugal
- Leverhulme Centre for Anthropocene Biodiversity, Department of Biology, University of York, Wentworth Way, York YO10 5DD, UK
| | - Jonathan M Chase
- German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig 04103, Germany
- Department of Computer Sciences, Martin Luther University, Halle-Wittenberg 06099, Germany
| | | | - Anne E Magurran
- Centre for Biological Diversity, University of St Andrews, St Andrews KY16 9TH, UK
| | - Brian J McGill
- School of Biology and Ecology and Mitchell Center for Sustainability Solutions, University of Maine, Orono, ME, USA
| | - Laura H Antão
- Research Centre for Ecological Change, Faculty of Biological and Environmental Sciences, University of Helsinki, 00014 Helsinki, Finland
| | - Shane A Blowes
- German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig 04103, Germany
- Department of Computer Sciences, Martin Luther University, Halle-Wittenberg 06099, Germany
| | - Gergana N Daskalova
- International Institute for Applied Systems Analysis (IIASA), Laxenburg 2361, Austria
| | - Brian Leung
- Department of Biology, McGill University, Montreal, Canada H3A 1B1
| | - Inês S Martins
- Centre for Biological Diversity, University of St Andrews, St Andrews KY16 9TH, UK
- Leverhulme Centre for Anthropocene Biodiversity, Department of Biology, University of York, Wentworth Way, York YO10 5DD, UK
| | - Faye Moyes
- Centre for Biological Diversity, University of St Andrews, St Andrews KY16 9TH, UK
| | | | - Chris D Thomas
- Leverhulme Centre for Anthropocene Biodiversity, Department of Biology, University of York, Wentworth Way, York YO10 5DD, UK
| | - Mark Vellend
- Leverhulme Centre for Anthropocene Biodiversity, Department of Biology, University of York, Wentworth Way, York YO10 5DD, UK
- Département de biologie, Université de Sherbrooke, Québec, Canada J1K 2R1
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15
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Sosa CC, Arenas C, García-Merchán VH. Human Population Density Influences Genetic Diversity of Two Rattus Species Worldwide: A Macrogenetic Approach. Genes (Basel) 2023; 14:1442. [PMID: 37510346 PMCID: PMC10379283 DOI: 10.3390/genes14071442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/18/2023] [Accepted: 06/21/2023] [Indexed: 07/30/2023] Open
Abstract
On a planet experiencing constant human population growth, it is necessary to explore the anthropogenic effects on the genetic diversity of species, and specifically invasive species. Using an analysis that integrates comparative phylogeography, urban landscape genetics, macrogenetics and a systematic review, we explore the worldwide genetic diversity of the human commensal and anthropogenic species Rattus rattus and Rattus norvegicus. Based on metadata obtained considering 35 selected studies related to observed heterozygosity, measured by nuclear molecular markers (microsatellites, Single Nucleotide Polymorphisms-SNPs-, restrictition site-associated DNA sequencing -RAD-Seq-), socioeconomic and mobility anthropogenic factors were used as predictors of genetic diversity of R. rattus and R. norvegicus, using the Gini index, principal component analysis and Random Forest Regression as analysis methodology. Population density was on average the best predictor of genetic diversity in the Rattus species analyzed, indicating that the species respond in a particular way to the characteristics present in urban environments because of a combination of life history characteristics and human-mediated migration and colonization processes. To create better management and control strategies for these rodents and their associated diseases, it is necessary to fill the existing information gap in urban landscape genetics studies with more metadata repositories, with emphasis on tropical and subtropical regions of the world.
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Affiliation(s)
- Chrystian C Sosa
- Evolution, Ecology and Conservation Research Group-EECO, Biology Program, Faculty of Basic Sciences and Technologies, Universidad del Quindío, Armenia 630004, Colombia
- Department of Natural Sciences and Mathematics, Pontificia Universidad Javeriana, Cali 7 #40-62, Bogotá 110311, Colombia
| | - Catalina Arenas
- Evolution, Ecology and Conservation Research Group-EECO, Biology Program, Faculty of Basic Sciences and Technologies, Universidad del Quindío, Armenia 630004, Colombia
| | - Víctor Hugo García-Merchán
- Evolution, Ecology and Conservation Research Group-EECO, Biology Program, Faculty of Basic Sciences and Technologies, Universidad del Quindío, Armenia 630004, Colombia
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16
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Atmore LM, Buss DL. Historical land use patterns provide insight into contemporary insect diversity loss. Mol Ecol 2023. [PMID: 37303067 DOI: 10.1111/mec.17044] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/12/2023] [Accepted: 05/30/2023] [Indexed: 06/13/2023]
Abstract
Healthy insect populations are vital for maintaining natural ecosystems and essential to global food security. The ongoing dramatic loss of insect species and biomass is thus a global cause for concern, with much focus on this topic in the media. Yet, determining the mechanism behind these declines remains difficult, particularly when attempting to differentiate between anthropogenic drivers of biodiversity loss and long-term natural fluctuations. In a From the Cover manuscript in this issue of Molecular Ecology, Crossley et al. (2022) examined the long-term impact of land use change on freshwater insects by estimating levels of genetic diversity with publicly available data for the cytochrome c oxidase subunit 1 (CO1) mitochondrial locus from >700 aquatic insect species across the United States. Contemporary genetic diversity measures reflect both current and past demography and therefore are related to both past and present habitat change. Crossley et al. found that environments with greater cropland extent over the last 200 years were associated with lower genetic diversity in contemporary aquatic insect populations. This indicates that historical land use is an important factor in contemporary population dynamics. Most critically, in regions of historical cropland cover that have been converted towards other uses (such as urban environments) more recently, aquatic insect populations exhibited higher levels of genetic diversity, indicating a possible rebound in insect populations after cessation of agricultural activity. This study highlights the power of using publicly available data to answer crucial questions regarding the current biospheric emergency.
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Affiliation(s)
- Lane M Atmore
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo, Norway
| | - Danielle L Buss
- Department of Archaeology and Cultural History, NTNU University Museum, Trondheim, Norway
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17
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Delord C, Petit EJ, Blanchet S, Longin G, Rinaldo R, Vigouroux R, Roussel JM, Le Bail PY, Launey S. Contrasts in riverscape patterns of intraspecific genetic variation in a diverse Neotropical fish community of high conservation value. Heredity (Edinb) 2023:10.1038/s41437-023-00616-7. [PMID: 37185615 DOI: 10.1038/s41437-023-00616-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 04/03/2023] [Accepted: 04/03/2023] [Indexed: 05/17/2023] Open
Abstract
Spatial patterns of genetic variation compared across species provide information about the predictability of genetic diversity in natural populations, and areas requiring conservation measures. Due to their remarkable fish diversity, rivers in Neotropical regions are ideal systems to confront theory with observations and would benefit greatly from such approaches given their increasing vulnerability to anthropogenic pressures. We used SNP data from 18 fish species with contrasting life-history traits, co-sampled across 12 sites in the Maroni- a major river system from the Guiana Shield -, to compare patterns of intraspecific genetic variation and identify their underlying drivers. Analyses of covariance revealed a decrease in genetic diversity as distance from the river outlet increased for 5 of the 18 species, illustrating a pattern commonly observed in riverscapes for species with low-to-medium dispersal abilities. However, the mean within-site genetic diversity was lowest in the two easternmost tributaries of the Upper Maroni and around an urbanized location downstream, indicating the need to address the potential influence of local pressures in these areas, such as gold mining or fishing. Finally, the relative influence of isolation by stream distance, isolation by discontinuous river flow, and isolation by spatial heterogeneity in effective size on pairwise genetic differentiation varied across species. Species with similar dispersal and reproductive guilds did not necessarily display shared patterns of population structure. Increasing the knowledge of specific life history traits and ecological requirements of fish species in these remote areas should help further understand factors that influence their current patterns of genetic variation.
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Affiliation(s)
- Chrystelle Delord
- DECOD (Ecosystem Dynamics and Sustainability), INRAE, Institut Agro, IFREMER, 35042, Rennes, France.
- HYDRECO Guyane SARL, Laboratoire-Environnement de Petit Saut, 97310, Kourou, France.
- UMR MARBEC, Univ. Montpellier, IRD, Ifremer, CNRS, Sète, France.
| | - Eric J Petit
- DECOD (Ecosystem Dynamics and Sustainability), INRAE, Institut Agro, IFREMER, 35042, Rennes, France
| | - Simon Blanchet
- CNRS, Station d'Ecologie Théorique et Expérimentale, UAR, 2029, Moulis, France
| | | | | | - Régis Vigouroux
- HYDRECO Guyane SARL, Laboratoire-Environnement de Petit Saut, 97310, Kourou, France
| | - Jean-Marc Roussel
- DECOD (Ecosystem Dynamics and Sustainability), INRAE, Institut Agro, IFREMER, 35042, Rennes, France
| | | | - Sophie Launey
- DECOD (Ecosystem Dynamics and Sustainability), INRAE, Institut Agro, IFREMER, 35042, Rennes, France
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18
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Thompson LR, Thielen P. Decoding dissolved information: environmental DNA sequencing at global scale to monitor a changing ocean. Curr Opin Biotechnol 2023; 81:102936. [PMID: 37060640 DOI: 10.1016/j.copbio.2023.102936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/03/2023] [Accepted: 03/13/2023] [Indexed: 04/17/2023]
Abstract
The use of environmental DNA (eDNA) technology for environmental monitoring is rapidly expanding, with applications for fisheries, coral reefs, harmful algal blooms, invasive and endangered species, and biodiversity monitoring. By enabling detection of species over space and time, eDNA fulfills a fundamental need of environmental surveys. Traditional surveys are expensive, require significant capital expenditure, and can be destructive; eDNA offers promise for cheaper, less invasive, and higher-resolution (i.e. genetic) assessments of environments and stocks. However, challenges in quantification, detection limits, biobanking capacity, reference databases, and data management and integration remain significant hurdles to efficient eDNA monitoring at global and decadal scale. Here, we consider the current state of eDNA technology and its suitability for the problems for which it is being used. We explore the current best practices, the logistical and social challenges that prevent eDNA from widespread adoption and benefit, and the emerging technologies that may address those challenges.
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Affiliation(s)
- Luke R Thompson
- Northern Gulf Institute, Mississippi State University, 2 Research Blvd, Starkville, MS 39759, USA; Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, 4301 Rickenbacker Cswy, Miami, FL 33149, USA.
| | - Peter Thielen
- Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723-6099, USA
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19
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Hancock ZB, Toczydlowski RH, Bradburd GS. A spatial approach to jointly estimate Wright's neighborhood size and long-term effective population size. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.10.532094. [PMID: 36945591 PMCID: PMC10029013 DOI: 10.1101/2023.03.10.532094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
Abstract
Spatially continuous patterns of genetic differentiation, which are common in nature, are often poorly described by existing population genetic theory or methods that assume panmixia or discrete, clearly definable populations. There is therefore a need for statistical approaches in population genetics that can accommodate continuous geographic structure, and that ideally use georeferenced individuals as the unit of analysis, rather than populations or subpopulations. In addition, researchers are often interested describing the diversity of a population distributed continuously in space, and this diversity is intimately linked to the dispersal potential of the organism. A statistical model that leverages information from patterns of isolation-by-distance to jointly infer parameters that control local demography (such as Wright's neighborhood size), and the long-term effective size (Ne) of a population would be useful. Here, we introduce such a model that uses individual-level pairwise genetic and geographic distances to infer Wright's neighborhood size and long-term Ne. We demonstrate the utility of our model by applying it to complex, forward-time demographic simulations as well as an empirical dataset of the Red Sea clownfish (Amphiprion bicinctus). The model performed well on simulated data relative to alternative approaches and produced reasonable empirical results given the natural history of clownfish. The resulting inferences provide important insights into the population genetic dynamics of spatially structure populations.
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Affiliation(s)
- Zachary B. Hancock
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 481103, USA
| | | | - Gideon S. Bradburd
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 481103, USA
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20
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Exposito-Alonso M. Understanding local plant extinctions before it is too late: bridging evolutionary genomics with global ecology. THE NEW PHYTOLOGIST 2023; 237:2005-2011. [PMID: 36604850 DOI: 10.1111/nph.18718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 12/04/2022] [Indexed: 06/17/2023]
Abstract
Understanding evolutionary genomic and population processes within a species range is key to anticipating the extinction of plant species before it is too late. However, most models of biodiversity risk under global change do not account for the genetic variation and local adaptation of different populations. Population diversity is critical to understanding extinction because different populations may be more or less susceptible to global change and, if lost, would reduce the total diversity within a species. Two new modeling frameworks advance our understanding of extinction from a population and evolutionary angle: Rapid climate change-driven disruptions in population adaptation are predicted from associations between genomes and local climates. Furthermore, losses of population diversity from global land-use transformations are estimated by scaling relationships of species' genomic diversity with habitat area. Overall, these global eco-evolutionary methods advance the predictability - and possibly the preventability - of the ongoing extinction of plant species.
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Affiliation(s)
- Moi Exposito-Alonso
- Department of Plant Biology, Carnegie Institution for Science, Stanford, CA, 94305, USA
- Department of Biology, Stanford University, Stanford, CA, 94305, USA
- Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, 94305, USA
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21
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Schmidt C, Hoban S, Hunter M, Paz-Vinas I, Garroway CJ. Genetic diversity and IUCN Red List status. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2023:e14064. [PMID: 36751982 DOI: 10.1111/cobi.14064] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 01/11/2023] [Accepted: 01/18/2023] [Indexed: 06/18/2023]
Abstract
The International Union for Conservation of Nature (IUCN) Red List is an important and widely used tool for conservation assessment. The IUCN uses information about a species' range, population size, habitat quality and fragmentation levels, and trends in abundance to assess extinction risk. Genetic diversity is not considered, although it affects extinction risk. Declining populations are more strongly affected by genetic drift and higher rates of inbreeding, which can reduce the efficiency of selection, lead to fitness declines, and hinder species' capacities to adapt to environmental change. Given the importance of conserving genetic diversity, attempts have been made to find relationships between red-list status and genetic diversity. Yet, there is still no consensus on whether genetic diversity is captured by the current IUCN Red List categories in a way that is informative for conservation. To assess the predictive power of correlations between genetic diversity and IUCN Red List status in vertebrates, we synthesized previous work and reanalyzed data sets based on 3 types of genetic data: mitochondrial DNA, microsatellites, and whole genomes. Consistent with previous work, species with higher extinction risk status tended to have lower genetic diversity for all marker types, but these relationships were weak and varied across taxa. Regardless of marker type, genetic diversity did not accurately identify threatened species for any taxonomic group. Our results indicate that red-list status is not a useful metric for informing species-specific decisions about the protection of genetic diversity and that genetic data cannot be used to identify threat status in the absence of demographic data. Thus, there is a need to develop and assess metrics specifically designed to assess genetic diversity and inform conservation policy, including policies recently adopted by the UN's Convention on Biological Diversity Kunming-Montreal Global Biodiversity Framework.
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Affiliation(s)
- Chloé Schmidt
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, USA
- Center for Biodiversity and Global Change, Yale University, New Haven, Connecticut, USA
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Sean Hoban
- The Center for Tree Science, The Morton Arboretum, Lisle, Illinois, USA
| | - Margaret Hunter
- Wetland and Aquatic Research Center, U.S. Geological Survey, Gainesville, Florida, USA
| | - Ivan Paz-Vinas
- Laboratoire Evolution et Diversité Biologique (EDB), UMR5174, Université Toulouse 3 Paul Sabatier, CNRS, IRD, Toulouse, France
| | - Colin J Garroway
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
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22
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Chown SL. Macrophysiology for decision‐making. J Zool (1987) 2022. [DOI: 10.1111/jzo.13029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- S. L. Chown
- Securing Antarctica's Environmental Future, School of Biological Sciences Monash University Melbourne Victoria Australia
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23
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Liggins L, Arranz V, Braid HE, Carmelet-Rescan D, Elleouet J, Egorova E, Gemmell MR, Hills SFK, Holland LP, Koot EM, Lischka A, Maxwell KH, McCartney LJ, Nguyen HTT, Noble C, Olmedo Rojas P, Parvizi E, Pearman WS, Sweatman JAN, Kaihoro TR, Walton K, Aguirre JD, Stewart LC. The future of molecular ecology in Aotearoa New Zealand: an early career perspective. J R Soc N Z 2022. [DOI: 10.1080/03036758.2022.2097709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Libby Liggins
- School of Natural Sciences, Massey University, Auckland, New Zealand
| | - Vanessa Arranz
- School of Natural Sciences, Massey University, Auckland, New Zealand
| | - Heather E. Braid
- AUT Lab for Cephalopod Ecology and Systematics, School of Science, Auckland University of Technology, Auckland, New Zealand
| | | | | | - Ekaterina Egorova
- Massey Geoinformatics Collaboratory, School of Mathematical and Computational Sciences, Auckland, New Zealand
| | - Michael R. Gemmell
- Plant Health and Environment Lab, Ministry for Primary Industries, Auckland, New Zealand
| | - Simon F. K. Hills
- Ngāti Porou
- School of Natural Sciences, Massey University, Palmerston North, New Zealand
| | | | - Emily M. Koot
- The New Zealand Institute for Plant and Food Research Ltd, Palmerston North, New Zealand
| | - Alexandra Lischka
- AUT Lab for Cephalopod Ecology and Systematics, School of Science, Auckland University of Technology, Auckland, New Zealand
| | - Kimberley H. Maxwell
- Ngāti Porou
- Te Whakatōhea, Te Whānau-a-Apanui, Ngāitai, Ngāti Tūwharetoa
- Te Kōtahi Research Institute, Faculty of Māori and Indigenous Studies, University of Waikato, Hamilton, New Zealand
| | | | - Hang T. T. Nguyen
- Faculty of Fisheries, University of Agriculture and Forestry, Hue University, Vietnam
| | - Cory Noble
- School of Natural Sciences, Massey University, Auckland, New Zealand
| | | | - Elahe Parvizi
- School of Science, University of Waikato, Hamilton, New Zealand
| | | | | | | | - Kerry Walton
- Department of Zoology, University of Otago, Dunedin, New Zealand
| | - J. David Aguirre
- School of Natural Sciences, Massey University, Auckland, New Zealand
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24
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Yang X, Ni X, Fu C. Phylogeographical Analysis of the Freshwater Gudgeon Huigobio chenhsienensis (Cypriniformes: Gobionidae) in Southern China. Life (Basel) 2022; 12:1024. [PMID: 35888112 PMCID: PMC9318155 DOI: 10.3390/life12071024] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 06/17/2022] [Accepted: 07/06/2022] [Indexed: 06/15/2023] Open
Abstract
The freshwater gudgeon Huigobio chenhsienensis (Cypriniformes: Gobionidae) is a small fish endemic to southern China. In this study, we used mitochondrial cytochrome b gene (Cytb), from wide-ranging samplings of H. chenhsienensis from the Ou River (the central of southern China) to the Yangtze River Basin (the northernmost part of southern China) to explore genetic variations and the evolutionary history of H. chenhsienensis in southern China. In total, 66 haplotypes were identified from Cytb sequences of 142 H. chenhsienensis individuals, which could be divided into lineages A, B, and C with divergence times of ~4.24 Ma and ~3.03 Ma. Lineage A was distributed in the lower reaches of the Yangtze River, the Oujiang River, and the Jiao River, lineage B was distributed in the Qiantang River and the Cao'e River, whereas lineage C was restricted to the Poyang Lake drainage from the middle reaches of the Yangtze River. Lineage A could be subdivided into sub-lineages A-I, A-II, A-III, and A-IV, with divergence times of 1.30, 0.97, and 0.44 Ma. Lineage C could be subdivided into sub-lineages C-I and C-II, with a divergence time of 0.85 Ma. Our findings indicate that climate change during the Pliocene and Pleistocene eras, as well as the limited dispersal ability of H. chenhsienensis, have been major drivers for shaping the phylogeographical patterns of H. chenhsienensis.
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25
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The teenage years of yeast population genomics trace history, admixing and getting wilder. Curr Opin Genet Dev 2022; 75:101942. [PMID: 35753210 DOI: 10.1016/j.gde.2022.101942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/17/2022] [Accepted: 05/18/2022] [Indexed: 11/22/2022]
Abstract
Population genomics studies the evolutionary processes that shape intraspecies genetic variations. In this review, I explore the insights into yeast-population genomics that have emerged from recent advances in sequencing. Genomes of the model Saccharomyces cerevisiae and many new yeast species from around the world are being used to address various aspects of population biology, including geographical origin, the level of introgression, domestication signatures, and outcrossing frequency. New long-read sequencing has enabled a greater capacity to quantify these variations at a finer resolution from complete de novo genomes at the population scale to phasing subgenomes of different origins. These resources provide a platform to dissect the relationship between phenotypes across environmental niches.
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26
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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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27
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Hoban S, Archer FI, Bertola LD, Bragg JG, Breed MF, Bruford MW, Coleman MA, Ekblom R, Funk WC, Grueber CE, Hand BK, Jaffé R, Jensen E, Johnson JS, Kershaw F, Liggins L, MacDonald AJ, Mergeay J, Miller JM, Muller-Karger F, O'Brien D, Paz-Vinas I, Potter KM, Razgour O, Vernesi C, Hunter ME. Global genetic diversity status and trends: towards a suite of Essential Biodiversity Variables (EBVs) for genetic composition. Biol Rev Camb Philos Soc 2022; 97:1511-1538. [PMID: 35415952 PMCID: PMC9545166 DOI: 10.1111/brv.12852] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 02/25/2022] [Accepted: 03/02/2022] [Indexed: 12/14/2022]
Abstract
Biodiversity underlies ecosystem resilience, ecosystem function, sustainable economies, and human well‐being. Understanding how biodiversity sustains ecosystems under anthropogenic stressors and global environmental change will require new ways of deriving and applying biodiversity data. A major challenge is that biodiversity data and knowledge are scattered, biased, collected with numerous methods, and stored in inconsistent ways. The Group on Earth Observations Biodiversity Observation Network (GEO BON) has developed the Essential Biodiversity Variables (EBVs) as fundamental metrics to help aggregate, harmonize, and interpret biodiversity observation data from diverse sources. Mapping and analyzing EBVs can help to evaluate how aspects of biodiversity are distributed geographically and how they change over time. EBVs are also intended to serve as inputs and validation to forecast the status and trends of biodiversity, and to support policy and decision making. Here, we assess the feasibility of implementing Genetic Composition EBVs (Genetic EBVs), which are metrics of within‐species genetic variation. We review and bring together numerous areas of the field of genetics and evaluate how each contributes to global and regional genetic biodiversity monitoring with respect to theory, sampling logistics, metadata, archiving, data aggregation, modeling, and technological advances. We propose four Genetic EBVs: (i) Genetic Diversity; (ii) Genetic Differentiation; (iii) Inbreeding; and (iv) Effective Population Size (Ne). We rank Genetic EBVs according to their relevance, sensitivity to change, generalizability, scalability, feasibility and data availability. We outline the workflow for generating genetic data underlying the Genetic EBVs, and review advances and needs in archiving genetic composition data and metadata. We discuss how Genetic EBVs can be operationalized by visualizing EBVs in space and time across species and by forecasting Genetic EBVs beyond current observations using various modeling approaches. Our review then explores challenges of aggregation, standardization, and costs of operationalizing the Genetic EBVs, as well as future directions and opportunities to maximize their uptake globally in research and policy. The collection, annotation, and availability of genetic data has made major advances in the past decade, each of which contributes to the practical and standardized framework for large‐scale genetic observation reporting. Rapid advances in DNA sequencing technology present new opportunities, but also challenges for operationalizing Genetic EBVs for biodiversity monitoring regionally and globally. With these advances, genetic composition monitoring is starting to be integrated into global conservation policy, which can help support the foundation of all biodiversity and species' long‐term persistence in the face of environmental change. We conclude with a summary of concrete steps for researchers and policy makers for advancing operationalization of Genetic EBVs. The technical and analytical foundations of Genetic EBVs are well developed, and conservation practitioners should anticipate their increasing application as efforts emerge to scale up genetic biodiversity monitoring regionally and globally.
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Affiliation(s)
- Sean Hoban
- Center for Tree Science, The Morton Arboretum, 4100 Illinois Rt 53, Lisle, IL, 60532, USA
| | - Frederick I Archer
- Southwest Fisheries Science Center, NOAA/NMFS, 8901 La Jolla Shores Drive, La Jolla, CA, 92037, USA
| | - Laura D Bertola
- City College of New York, 160 Convent Avenue, New York, NY, 10031, USA
| | - Jason G Bragg
- Research Centre for Ecosystem Resilience, Australian Institute of Botanical Science, The Royal Botanic Garden Sydney, Mrs Macquaries Rd, Sydney, NSW, 2000, Australia
| | - Martin F Breed
- College of Science and Engineering, Flinders University, University Drive, Bedford Park, SA, 5042, Australia
| | - Michael W Bruford
- School of Biosciences, Cardiff University, Cathays Park, Cardiff, CF10 3AX, Wales, UK
| | - Melinda A Coleman
- Department of Primary Industries, New South Wales Fisheries, National Marine Science Centre, 2 Bay Drive, Coffs Harbour, NSW, 2450, Australia
| | - Robert Ekblom
- Wildlife Analysis Unit, Swedish Environmental Protection Agency, Blekholmsterrassen 36, Stockholm, SE-106 48, Sweden
| | - W Chris Funk
- Department of Biology, Graduate Degree in Ecology, Colorado State University, 1878 Campus Delivery, Fort Collins, CO, 80523-1878, USA
| | - Catherine E Grueber
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Carslaw Building, Sydney, NSW, 2006, Australia
| | - Brian K Hand
- Flathead Lake Biological Station, 32125 Bio Station Ln, Polson, MT, 59860, USA
| | - Rodolfo Jaffé
- Exponent, 15375 SE 30th Place, Suite 250, Bellevue, WA, 98007, USA
| | - Evelyn Jensen
- School of Natural and Environmental Sciences, Newcastle University, Agriculture Building, Newcastle Upon Tyne, NE1 7RU, UK
| | - Jeremy S Johnson
- Department of Environmental Studies, Prescott College, 220 Grove Avenue, Prescott, AZ, 86303, USA
| | - Francine Kershaw
- Natural Resources Defense Council, 40 West 20th Street, New York, NY, 10011, USA
| | - Libby Liggins
- School of Natural Sciences, Massey University, Ōtehā Rohe campus, Gate 4 Albany Highway, Auckland, Aotearoa, 0745, New Zealand
| | - Anna J MacDonald
- Research School of Biology, The Australian National University, Acton, ACT, 2601, Australia
| | - Joachim Mergeay
- Research Institute for Nature and Forest, Gaverstraat 4, 9500, Geraardsbergen, Belgium.,Aquatic Ecology, Evolution and Conservation, KULeuven, Charles Deberiotstraat 32, box 2439, 3000, Leuven, Belgium
| | - Joshua M Miller
- Department of Biological Sciences, MacEwan University, 10700 104 Avenue, Edmonton, AB, T5J 4S2, Canada
| | - Frank Muller-Karger
- College of Marine Science, University of South Florida, 140 7th Avenue South, Saint Petersburg, Florida, 33701, USA
| | - David O'Brien
- NatureScot, Great Glen House, Leachkin Road, Inverness, IV3 8NW, UK
| | - Ivan Paz-Vinas
- Laboratoire Evolution et Diversité Biologique, Université de Toulouse, CNRS, IRD, UPS, UMR-5174 EDB, 118 route de Narbonne, Toulouse, 31062, France
| | - Kevin M Potter
- Department of Forestry and Environmental Resources, North Carolina State University, 3041 Cornwallis Road, Research Triangle Park, NC, 27709, USA
| | - Orly Razgour
- Biosciences, University of Exeter, Streatham Campus, Hatherly Laboratories, Prince of Wales Road, Exeter, EX4 4PS, UK
| | - Cristiano Vernesi
- Forest Ecology Unit, Research and Innovation Centre- Fondazione Edmund Mach, Via E. Mach, 1, San Michele all'Adige, 38010, (TN), Italy
| | - Margaret E Hunter
- U.S. Geological Survey, Wetland and Aquatic Research Center, 7920 NW 71st Street, Gainesville, FL, 32653, USA
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28
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Kershaw F, Bruford MW, Funk WC, Grueber CE, Hoban S, Hunter ME, Laikre L, MacDonald AJ, Meek MH, Mittan C, O´Brien D, Ogden R, Shaw RE, Vernesi C, Segelbacher G. The Coalition for Conservation Genetics: Working across organizations to build capacity and achieve change in policy and practice. CONSERVATION SCIENCE AND PRACTICE 2022. [DOI: 10.1111/csp2.12635] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Affiliation(s)
| | | | - W. Chris Funk
- Department of Biology, Graduate Degree Program in Ecology Colorado State University Fort Collins Colorado USA
| | - Catherine E. Grueber
- School of Life and Environmental Sciences, The University of Sydney New South Wales Australia
| | - Sean Hoban
- The Morton Arboretum, Center for Tree Science Lisle Illinois USA
| | - Margaret E. Hunter
- U.S. Geological Survey, Wetland and Aquatic Research Center Gainesville Florida USA
| | - Linda Laikre
- Department of Zoology, Division of Population Genetics Stockholm University Stockholm Sweden
| | - Anna J. MacDonald
- Research School of Biology The Australian National University Canberra Acton Australia
| | - Mariah H. Meek
- Department of Integrative Biology, AgBio Research, and Ecology, Evolution, and Behavior Program Michigan State University East Lansing Michigan USA
| | - Cinnamon Mittan
- Department of Ecology and Evolutionary Biology Cornell University Ithaca New York USA
| | | | - Rob Ogden
- Royal (Dick) School of Veterinary Studies and the Roslin Institute, University of Edinburgh Edinburgh UK
| | - Robyn E. Shaw
- Environmental and Conservation Sciences Murdoch University Perth Australia
| | - Cristiano Vernesi
- Forest Ecology Unit, Research and Innovation Centre‐Fondazione Edmund Mach San Michele all’Adige Trentino Italy
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29
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Schmidt C, Dray S, Garroway CJ. Genetic and species-level biodiversity patterns are linked by demography and ecological opportunity. Evolution 2021; 76:86-100. [PMID: 34806781 DOI: 10.1111/evo.14407] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 10/22/2021] [Accepted: 10/29/2021] [Indexed: 12/20/2022]
Abstract
The processes that give rise to species richness gradients are not well understood, but may be linked to resource-based limits on the number of species a region can support. Ecological limits placed on regional species richness should also affect population demography, suggesting that these processes could also generate genetic diversity gradients. If true, we might better understand how broad-scale biodiversity patterns are formed by identifying the common causes of genetic diversity and species richness. We develop a hypothetical framework based on the consequences of regional variation in ecological limits set by resource availability and heterogeneity to simultaneously explain spatial patterns of species richness and neutral genetic diversity. Repurposing raw genotypic data spanning 38 mammal species sampled across 801 sites in North America, we show that estimates of genome-wide genetic diversity and species richness share spatial structure. Notably, species richness hotspots tend to harbor lower levels of within-species genetic variation. A structural equation model encompassing eco-evolutionary processes related to resource availability, habitat heterogeneity, and contemporary human disturbance supports the spatial patterns we detect. These results suggest broad-scale patterns of species richness and genetic diversity could both partly be caused by intraspecific demographic and evolutionary processes acting simultaneously across species.
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Affiliation(s)
- Chloé Schmidt
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - Stéphane Dray
- Laboratoire de Biométrie et Biologie Evolutive, Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Villeurbanne, F-69100, France
| | - Colin J Garroway
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
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30
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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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31
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Donati GFA, Zemp N, Manel S, Poirier M, Claverie T, Ferraton F, Gaboriau T, Govinden R, Hagen O, Ibrahim S, Mouillot D, Leblond J, Julius P, Velez L, Zareer I, Ziyad A, Leprieur F, Albouy C, Pellissier L. Species ecology explains the spatial components of genetic diversity in tropical reef fishes. Proc Biol Sci 2021; 288:20211574. [PMID: 34583586 PMCID: PMC8479362 DOI: 10.1098/rspb.2021.1574] [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: 07/14/2021] [Accepted: 09/03/2021] [Indexed: 11/12/2022] Open
Abstract
Generating genomic data for 19 tropical reef fish species of the Western Indian Ocean, we investigate how species ecology influences genetic diversity patterns from local to regional scales. We distinguish between the α, β and γ components of genetic diversity, which we subsequently link to six ecological traits. We find that the α and γ components of genetic diversity are strongly correlated so that species with a high total regional genetic diversity display systematically high local diversity. The α and γ diversity components are negatively associated with species abundance recorded using underwater visual surveys and positively associated with body size. Pelagic larval duration is found to be negatively related to genetic β diversity supporting its role as a dispersal trait in marine fishes. Deviation from the neutral theory of molecular evolution motivates further effort to understand the processes shaping genetic diversity and ultimately the diversification of the exceptional diversity of tropical reef fishes.
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Affiliation(s)
- Giulia Francesca Azzurra Donati
- Landscape Ecology, Institute of Terrestrial Ecosystems, ETH Zürich, CH8092 Zürich, Switzerland
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL, CH8903 Birmensdorf, Switzerland
| | - Niklaus Zemp
- Genetic Diversity Centre (GDC), ETH Zürich, CH8092 Zürich, Switzerland
| | - Stéphanie Manel
- CEFE, Univ Montpellier, CNRS EPHE-PSL University, IRD, Montpellier, France
| | - Maude Poirier
- Landscape Ecology, Institute of Terrestrial Ecosystems, ETH Zürich, CH8092 Zürich, Switzerland
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL, CH8903 Birmensdorf, Switzerland
| | - Thomas Claverie
- MARBEC, Univ Montpellier, CNRS, IFREMER, IRD, Montpellier 34095, France
- Centre Universitaire de formation et de recherche de Mayotte, Dembeni 97660, France
| | - Franck Ferraton
- Centre National de la Recherche Scientifique (CNRS), UMR 248 MARBEC, Montpellier, France
| | - Théo Gaboriau
- Department of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Quartier Sorge, 1015 Lausanne, Switzerland
| | | | - Oskar Hagen
- Landscape Ecology, Institute of Terrestrial Ecosystems, ETH Zürich, CH8092 Zürich, Switzerland
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL, CH8903 Birmensdorf, Switzerland
| | - Shameel Ibrahim
- Maldives Whale Shark Research Programme, Popeshead Court Offices, Peter Lane, York, Yorkshire Y01 8SU, UK
| | - David Mouillot
- CEFE, Univ Montpellier, CNRS EPHE-PSL University, IRD, Montpellier, France
- Institut Universitaire de France, Paris, France
| | - Julien Leblond
- Wildlife Conservation Society, Madagascar Program, Antananarivo, Madagascar
| | | | - Laure Velez
- MARBEC, Univ Montpellier, CNRS, IFREMER, IRD, Montpellier 34095, France
| | - Irthisham Zareer
- Maldives Whale Shark Research Programme, Popeshead Court Offices, Peter Lane, York, Yorkshire Y01 8SU, UK
| | - Adam Ziyad
- Ministry of Fisheries and Agriculture, Malé, Republic of Maldives
| | - Fabien Leprieur
- MARBEC, Univ Montpellier, CNRS, IFREMER, IRD, Montpellier 34095, France
- Institut Universitaire de France, Paris, France
| | - Camille Albouy
- IFREMER, Unité Écologie et Modèles pour l'Halieutique, rue de l'Ile d'Yeu, BP21105, 44311 Nantes cedex 3, France
| | - Loïc Pellissier
- Landscape Ecology, Institute of Terrestrial Ecosystems, ETH Zürich, CH8092 Zürich, Switzerland
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL, CH8903 Birmensdorf, Switzerland
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