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Laine AL, Tylianakis JM. The coevolutionary consequences of biodiversity change. Trends Ecol Evol 2024:S0169-5347(24)00084-3. [PMID: 38705768 DOI: 10.1016/j.tree.2024.04.002] [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: 10/19/2023] [Revised: 04/03/2024] [Accepted: 04/05/2024] [Indexed: 05/07/2024]
Abstract
Coevolutionary selection is a powerful process shaping species interactions and biodiversity. Anthropogenic global environmental change is reshaping planetary biodiversity, including by altering the structure and intensity of interspecific interactions. However, remarkably little is understood of how coevolutionary selection is changing in the process. Here, we outline three interrelated pathways - change in evolutionary potential, change in community composition, and shifts in interaction trait distributions - that are expected to redirect coevolutionary selection under biodiversity change. Assessing how both ecological and evolutionary rules governing species interactions are disrupted under anthropogenic global change is of paramount importance to understand the past, present, and future of Earth's biodiversity.
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Affiliation(s)
- Anna-Liisa Laine
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, Viikinkaari 1 (PO Box 65), University of Helsinki, FI-00014 Helsinki, Finland.
| | - Jason M Tylianakis
- Bioprotection Aotearoa, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
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2
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Bucholz JR, Hopper GW, González IS, Kelley TE, Jackson CR, Garrick RC, Atkinson CL, Lozier JD. Community-wide correlations between species richness, abundance and population genomic diversity in a freshwater biodiversity hotspot. Mol Ecol 2023; 32:5894-5912. [PMID: 37203688 DOI: 10.1111/mec.16991] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 02/16/2023] [Accepted: 05/04/2023] [Indexed: 05/20/2023]
Abstract
Understanding patterns of diversity across macro (e.g. species-level) and micro (e.g. molecular-level) scales can shed light on community function and stability by elucidating the abiotic and biotic drivers of diversity within ecological communities. We examined the relationships among taxonomic and genetic metrics of diversity in freshwater mussels (Bivalvia: Unionidae), an ecologically important and species-rich group in the southeastern United States. Using quantitative community surveys and reduced-representation genome sequencing across 22 sites in seven rivers and two river basins, we surveyed 68 mussel species and sequenced 23 of these species to characterize intrapopulation genetic variation. We tested for the presence of species diversity-abundance correlations (i.e. the more-individuals hypothesis, MIH), species-genetic diversity correlations (SGDCs) and abundance-genetic diversity correlations (AGDCs) across all sites to evaluate relationships between different metrics of diversity. Sites with greater cumulative multispecies density (a standardized metric of abundance) had a greater number of species, consistent with the MIH hypothesis. Intrapopulation genetic diversity was strongly associated with the density of most species, indicating the presence of AGDCs. However, there was no consistent evidence for SGDCs. Although sites with greater overall densities of mussels had greater species richness, sites with higher genetic diversity did not always exhibit positive correlations with species richness, suggesting that there are spatial and evolutionary scales at which the processes influencing community-level diversity and intraspecific diversity differ. Our work reveals the importance of local abundance as indicator (and possibly a driver) of intrapopulation genetic diversity.
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Affiliation(s)
- Jamie R Bucholz
- Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama, USA
| | - Garrett W Hopper
- Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama, USA
| | | | - Taylor E Kelley
- Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama, USA
| | - Colin R Jackson
- Department of Biology, University of Mississippi, Mississippi, Mississippi, USA
| | - Ryan C Garrick
- Department of Biology, University of Mississippi, Mississippi, Mississippi, USA
| | - Carla L Atkinson
- Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama, USA
| | - Jeffrey D Lozier
- Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama, USA
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3
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Daniel A, Savary P, Foltête JC, Khimoun A, Faivre B, Ollivier A, Éraud C, Moal H, Vuidel G, Garnier S. Validating graph-based connectivity models with independent presence-absence and genetic data sets. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2023; 37:e14047. [PMID: 36661070 DOI: 10.1111/cobi.14047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 11/11/2022] [Accepted: 11/22/2022] [Indexed: 05/11/2023]
Abstract
Habitat connectivity is a key objective of current conservation policies and is commonly modeled by landscape graphs (i.e., sets of habitat patches [nodes] connected by potential dispersal paths [links]). These graphs are often built based on expert opinion or species distribution models (SDMs) and therefore lack empirical validation from data more closely reflecting functional connectivity. Accordingly, we tested whether landscape graphs reflect how habitat connectivity influences gene flow, which is one of the main ecoevolutionary processes. To that purpose, we modeled the habitat network of a forest bird (plumbeous warbler [Setophaga plumbea]) on Guadeloupe with graphs based on expert opinion, Jacobs' specialization indices, and an SDM. We used genetic data (712 birds from 27 populations) to compute local genetic indices and pairwise genetic distances. Finally, we assessed the relationships between genetic distances or indices and cost distances or connectivity metrics with maximum-likelihood population-effects distance models and Spearman correlations between metrics. Overall, the landscape graphs reliably reflected the influence of connectivity on population genetic structure; validation R2 was up to 0.30 and correlation coefficients were up to 0.71. Yet, the relationship among graph ecological relevance, data requirements, and construction and analysis methods was not straightforward because the graph based on the most complex construction method (species distribution modeling) sometimes had less ecological relevance than the others. Cross-validation methods and sensitivity analyzes allowed us to make the advantages and limitations of each construction method spatially explicit. We confirmed the relevance of landscape graphs for conservation modeling but recommend a case-specific consideration of the cost-effectiveness of their construction methods. We hope the replication of independent validation approaches across species and landscapes will strengthen the ecological relevance of connectivity models.
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Affiliation(s)
- Alexandrine Daniel
- Biogéosciences, UMR 6282 CNRS, Université Bourgogne-Franche-Comté, Dijon, France
| | - Paul Savary
- Biogéosciences, UMR 6282 CNRS, Université Bourgogne-Franche-Comté, Dijon, France
- ThéMA, UMR 6049 CNRS, Université de Franche-Comté, Besançon, France
- ARP-Astrance, Paris, France
| | | | - Aurélie Khimoun
- Biogéosciences, UMR 6282 CNRS, Université Bourgogne-Franche-Comté, Dijon, France
| | - Bruno Faivre
- Biogéosciences, UMR 6282 CNRS, Université Bourgogne-Franche-Comté, Dijon, France
| | - Anthony Ollivier
- Biogéosciences, UMR 6282 CNRS, Université Bourgogne-Franche-Comté, Dijon, France
| | - Cyril Éraud
- Office Français de la Biodiversité, Chizé, France
| | | | - Gilles Vuidel
- ThéMA, UMR 6049 CNRS, Université de Franche-Comté, Besançon, France
| | - Stéphane Garnier
- Biogéosciences, UMR 6282 CNRS, Université Bourgogne-Franche-Comté, Dijon, France
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Petersen HC, Hansen BW, Knott KE, Banta GT. Species and genetic diversity relationships in benthic macroinvertebrate communities along a salinity gradient. BMC Ecol Evol 2022; 22:125. [PMID: 36324063 PMCID: PMC9632067 DOI: 10.1186/s12862-022-02087-6] [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: 09/24/2021] [Accepted: 10/26/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Species- and genetic diversity can change in parallel, resulting in a species-genetic diversity correlation (SGDC) and raising the question if the same drivers influence both biological levels of diversity. The SGDC can be either positive or negative, depending on whether the species diversity and the genetic diversity of the measured species respond in the same or opposite way to drivers. Using a traditional species diversity approach together with ultra-conserved elements and high throughput sequencing, we evaluated the SGDCs in benthic macrofauna communities in the Baltic Sea, a geologically young brackish water sea characterised by its steep salinity gradient and low species richness. Assessing SGDCs from six focal marine invertebrate species from different taxonomic groups and with differing life histories and ecological functions on both a spatial and temporal scale gives a more comprehensive insight into the community dynamics of this young ecosystem and the extrinsic factors that might drive the SGDCs. RESULTS No significant correlations between species diversity and genetic diversity were found for any of the focal species. However, both negative and positive trends of SGDCs for the individual focal species were observed. When examining the environmental drivers, no common trends between the species were found, even when restricting the analysis to specific taxonomic classes. Additionally, there were no common environmental factors driving the diversity relationships for species sharing the same SGDC trend (positive or negative). Local population dynamics, together with the invasion history of the individual species and their unique adaptation to the distinctive environment of the Baltic Sea, are expected to be of major influence on the outcome of the SGDCs. CONCLUSIONS The present results highlight the importance of assessing SGDCs using multiple species, not just a single indicator species. This emphasises a need to pay attention to the ecology and life history of the focal species. This study also provides insight into the large differences in both patterns and drivers of genetic diversity, which is important when including genetic biodiversity in conservation plans. We conclude that the effects of environmental and biological factors and processes that affects diversity patterns at both the community and genetic levels are likely species dependent, even in an environment such as the Baltic Sea with strong environmental gradients.
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Affiliation(s)
- H. Cecilie Petersen
- grid.11702.350000 0001 0672 1325Department of Science and Environment, Roskilde University, Universitetsvej 1, 4000 Roskilde, Denmark ,grid.9681.60000 0001 1013 7965Department of Biological and Environmental Science, University of Jyväskylä, 40014 Jyväskylä, Finland
| | - Benni W. Hansen
- grid.11702.350000 0001 0672 1325Department of Science and Environment, Roskilde University, Universitetsvej 1, 4000 Roskilde, Denmark
| | - K. Emily Knott
- grid.9681.60000 0001 1013 7965Department of Biological and Environmental Science, University of Jyväskylä, 40014 Jyväskylä, Finland
| | - Gary T. Banta
- grid.10825.3e0000 0001 0728 0170Department of Biology, University of Southern Denmark, 5238 Odense M, Denmark
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Spatial autocorrelation signatures of ecological determinants on plant community characteristics in high Andean wetlands. Sci Rep 2022; 12:13770. [PMID: 35962032 PMCID: PMC9374769 DOI: 10.1038/s41598-022-18132-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 08/05/2022] [Indexed: 11/22/2022] Open
Abstract
Understanding how biological communities are shaped is a central tenet of community ecology. Recent evidence highlights the potential of decoupling diversity spatial autocorrelation into its positive and negative components to reveal community assembly processes that would otherwise remain undetected, as well as to improve understanding of their impacts on different facets of diversity. Yet, such approaches have only been implemented to investigate the effects of a few assembly drivers on a small number of diversity components. Here, we used high Andean wetland plant communities over a strong latitudinal gradient to investigate the effects of various ecological factors on spatial autocorrelation patterns of nine community metrics with different informative values, including measures of richness, dominance, evenness and beta-diversity. By combining Moran’s Eigenvector Maps, partial least squares structural equation modeling, and regression analyses, we revealed two groups of community parameters presenting contrasting spatial patterns due to specific sensitivities to ecological factors. While environmental variation and wetland connectivity increased positive spatial autocorrelation in richness and dominance-related parameters, species co-occurrence promoted negative spatial autocorrelation in evenness-related parameters. These results offer new insights regarding both how ecological processes affect species assembly, as well as the information captured by classical taxonomic parameters.
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Assessing the influence of the amount of reachable habitat on genetic structure using landscape and genetic graphs. Heredity (Edinb) 2022; 128:120-131. [PMID: 34963701 PMCID: PMC8814055 DOI: 10.1038/s41437-021-00495-w] [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: 07/05/2021] [Revised: 12/16/2021] [Accepted: 12/17/2021] [Indexed: 02/03/2023] Open
Abstract
Genetic structure, i.e. intra-population genetic diversity and inter-population genetic differentiation, is influenced by the amount and spatial configuration of habitat. Measuring the amount of reachable habitat (ARH) makes it possible to describe habitat patterns by considering intra-patch and inter-patch connectivity, dispersal capacities and matrix resistance. Complementary ARH metrics computed under various resistance scenarios are expected to reflect both drift and gene flow influence on genetic structure. Using an empirical genetic dataset concerning the large marsh grasshopper (Stethophyma grossum), we tested whether ARH metrics are good predictors of genetic structure. We further investigated (i) how the components of the ARH influence genetic structure and (ii) which resistance scenario best explains these relationships. We computed local genetic diversity and genetic differentiation indices in genetic graphs, and ARH metrics in the unified and flexible framework offered by landscape graphs, and we tested the relationships between these variables. ARH metrics were relevant predictors of the two components of genetic structure, providing an advantage over commonly used habitat metrics. Although allelic richness was significantly explained by three complementary ARH metrics in the best PLS regression model, private allelic richness and MIW indices were essentially related with the ARH measured outside the focal patch. Considering several matrix resistance scenarios was also key for explaining the different genetic responses. We thus call for further use of ARH metrics in landscape genetics to explain the influence of habitat patterns on the different components of genetic structure.
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Xie L, Chen S, Feng Y, Li Y, Wang L, He L, Huang L, Wu J, Guo K, Ding H, Fang Y. Mismatch Between Specific and Genetic Diversity in an Evergreen Broadleaf Forest in Southeast China: A Study Case of 10.24 ha Forest Dynamics Plot of Huangshan. FRONTIERS IN PLANT SCIENCE 2022; 12:706006. [PMID: 35173745 PMCID: PMC8841795 DOI: 10.3389/fpls.2021.706006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 12/16/2021] [Indexed: 06/14/2023]
Abstract
For a long time, forestry management has often focused on the protection of species diversity, and mistakenly believed that protecting species diversity protects genetic diversity. Therefore, research that integrates community ecology and population genetics has become important because it can help elucidate whether the targets for protecting specific and genetic diversity are congruent. In this study, we have emphasized the impact of the community on the population because no previous studies have considered the community composition of a place a priori. Based on the Huangshan 10.24 ha dynamics forest plot, we a priori considered the community composition in the plot to test species-genetic diversity among the tree layers. Firstly, a redundancy analysis (RDA) found that Castanopsis eyrei and Pinus massoniana were the dominant species. Secondly, specific and genetic diversity are not congruent in Huang Shan. Finally, the structural equation model (SEM) showed that the different degrees of response by community composition and population structure to environmental heterogeneity are the main reasons for the mismatch between species diversity and genetic diversity. The results suggest that we must focus on genetic diversity, as well as on protecting species diversity.
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Affiliation(s)
- Lei Xie
- Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing, China
| | - ShuiFei Chen
- State Environmental Protection Key Laboratory on Biosafety, State Environmental Protection Scientific Observation and Research Station for Ecological Environment of Wuyi Mountains, Biodiversity Comprehensive Observation Station for Wuyi Mountains, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Research Center for Nature Conservation and Biodiversity, Nanjing, China
| | - YueYao Feng
- Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing, China
| | - Yao Li
- Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing, China
| | - Lu Wang
- Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing, China
| | - LiHeng He
- School of Civil Engineering, Nanjing Forestry University, Nanjing, China
| | - LiQun Huang
- Bureau of Parks and Woods of Huangshan Management Committee, Huangshan, China
| | - Jun Wu
- Bureau of Parks and Woods of Huangshan Management Committee, Huangshan, China
| | - Ke Guo
- Bureau of Parks and Woods of Huangshan Management Committee, Huangshan, China
| | - Hui Ding
- State Environmental Protection Key Laboratory on Biosafety, State Environmental Protection Scientific Observation and Research Station for Ecological Environment of Wuyi Mountains, Biodiversity Comprehensive Observation Station for Wuyi Mountains, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Research Center for Nature Conservation and Biodiversity, Nanjing, China
| | - YanMing Fang
- Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing, China
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Abstract
The rapidly emerging field of macrogenetics focuses on analysing publicly accessible genetic datasets from thousands of species to explore large-scale patterns and predictors of intraspecific genetic variation. Facilitated by advances in evolutionary biology, technology, data infrastructure, statistics and open science, macrogenetics addresses core evolutionary hypotheses (such as disentangling environmental and life-history effects on genetic variation) with a global focus. Yet, there are important, often overlooked, limitations to this approach and best practices need to be considered and adopted if macrogenetics is to continue its exciting trajectory and reach its full potential in fields such as biodiversity monitoring and conservation. Here, we review the history of this rapidly growing field, highlight knowledge gaps and future directions, and provide guidelines for further research.
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Genome-wide genetic diversity yields insights into genomic responses of candidate climate-selected loci in an Andean wetland plant. Sci Rep 2020; 10:16851. [PMID: 33033367 PMCID: PMC7546723 DOI: 10.1038/s41598-020-73976-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 08/13/2020] [Indexed: 11/28/2022] Open
Abstract
Assessing population evolutionary potential has become a central tenet of conservation biology. Since adaptive responses require allelic variation at functional genes, consensus has grown that genetic variation at genes under selection is a better surrogate for adaptive evolutionary potential than neutral genetic diversity. Although consistent with prevailing theory, this argument lacks empirical support and ignores recent theoretical advances questioning the very concept of neutral genetic diversity. In this study, we quantified genome-wide responses of single nucleotide polymorphism loci linked to climatic factors over a strong latitudinal gradient in natural populations of the high Andean wetland plant, Carex gayana, and then assessed whether genetic variation of candidate climate-selected loci better predicted their genome-wide responses than genetic variation of non-candidate loci. Contrary to this expectation, genomic responses of climate-linked loci only related significantly to environmental variables and genetic diversity of non-candidate loci. The effects of genome-wide genetic diversity detected in this study may be a result of either the combined influence of small effect variants or neutral and demographic factors altering the adaptive evolutionary potential of C. gayana populations. Regardless of the processes involved, our results redeem genome-wide genetic diversity as a potentially useful indicator of population adaptive evolutionary potential.
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Manel S, Guerin PE, Mouillot D, Blanchet S, Velez L, Albouy C, Pellissier L. Global determinants of freshwater and marine fish genetic diversity. Nat Commun 2020; 11:692. [PMID: 32041961 PMCID: PMC7010757 DOI: 10.1038/s41467-020-14409-7] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 01/06/2020] [Indexed: 01/18/2023] Open
Abstract
Genetic diversity is estimated to be declining faster than species diversity under escalating threats, but its spatial distribution remains poorly documented at the global scale. Theory predicts that similar processes should foster congruent spatial patterns of genetic and species diversity, but empirical studies are scarce. Using a mined database of 50,588 georeferenced mitochondrial DNA barcode sequences (COI) for 3,815 marine and 1,611 freshwater fish species respectively, we examined the correlation between genetic diversity and species diversity and their global distributions in relation to climate and geography. Genetic diversity showed a clear spatial organisation, but a weak association with species diversity for both marine and freshwater species. We found a predominantly positive relationship between genetic diversity and sea surface temperature for marine species. Genetic diversity of freshwater species varied primarily across the regional basins and was negatively correlated with average river slope. The detection of genetic diversity patterns suggests that conservation measures should consider mismatching spatial signals across multiple facets of biodiversity. Biogeographic patterns of genetic diversity are poorly documented, especially for fish species. Here the authors show that (mitochondrial) genetic diversity has global spatial organization patterns with different environmental drivers for marine and freshwater fishes, where genetic diversity is only partly congruent with species richness.
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Affiliation(s)
- Stéphanie Manel
- CEFE, Univ. Montpellier, CNRS, EPHE-PSL University, IRD, Univ Paul Valéry Montpellier 3, Montpellier, France.
| | - Pierre-Edouard Guerin
- CEFE, Univ. Montpellier, CNRS, EPHE-PSL University, IRD, Univ Paul Valéry Montpellier 3, Montpellier, France
| | - David Mouillot
- MARBEC, Univ Montpellier, CNRS, IFREMER, IRD, Montpellier, France.,Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD, 4811, Australia
| | - Simon Blanchet
- Centre National de la Recherche Scientifique (CNRS), Université Paul Sabatier (UPS); Station d'Ecologie Théorique et Expérimentale, UMR 5321, F-09200, Moulis, France
| | - Laure Velez
- MARBEC, Univ Montpellier, CNRS, IFREMER, IRD, Montpellier, France
| | - Camille Albouy
- IFREMER, unité Ecologie et Modèle pour l'Halieutique, Nantes, France
| | - Loïc Pellissier
- Swiss Federal Research Institute WSL, CH-8903, Birmensdorf, Switzerland.,Landscape Ecology, Institute of Terrestrial Ecosystems, Department of Environmental System Science, ETH Zürich, CH-8092, Zürich, Switzerland
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Pfeiffer VW, Ford BM, Housset J, McCombs A, Blanco‐Pastor JL, Gouin N, Manel S, Bertin A. Partitioning genetic and species diversity refines our understanding of species-genetic diversity relationships. Ecol Evol 2018; 8:12351-12364. [PMID: 30619550 PMCID: PMC6308885 DOI: 10.1002/ece3.4530] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Revised: 07/27/2018] [Accepted: 08/03/2018] [Indexed: 12/24/2022] Open
Abstract
Disentangling the origin of species-genetic diversity correlations (SGDCs) is a challenging task that provides insight into the way that neutral and adaptive processes influence diversity at multiple levels. Genetic and species diversity are comprised by components that respond differently to the same ecological processes. Thus, it can be useful to partition species and genetic diversity into their different components to infer the mechanisms behind SGDCs. In this study, we applied such an approach using a high-elevation Andean wetland system, where previous evidence identified neutral processes as major determinants of the strong and positive covariation between plant species richness and AFLP genetic diversity of the common sedge Carex gayana. To tease apart putative neutral and non-neutral genetic variation of C. gayana, we identified loci putatively under selection from a dataset of 1,709 SNPs produced using restriction site-associated DNA sequencing (RAD-seq). Significant and positive relationships between local estimates of genetic and species diversities (α-SGDCs) were only found with the putatively neutral loci datasets and with species richness, confirming that neutral processes were primarily driving the correlations and that the involved processes differentially influenced local species diversity components (i.e., richness and evenness). In contrast, SGDCs based on genetic and community dissimilarities (β-SGDCs) were only significant with the putative non-neutral datasets. This suggests that selective processes influencing C. gayana genetic diversity were involved in the detected correlations. Together, our results demonstrate that analyzing distinct components of genetic and species diversity simultaneously is useful to determine the mechanisms behind species-genetic diversity relationships.
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Affiliation(s)
- Vera Wilder Pfeiffer
- Nelson Institute for Environmental ScienceUniversity of Wisconsin – MadisonMadisonWisconsin
| | - Brett Michael Ford
- Department of BiologyUniversity of British ColumbiaKelownaBritish ColumbiaCanada
| | - Johann Housset
- Alcina ForetsMontpellierFrance
- Centre d’étude de la forêtUniversité du Québec à MontréalMontréalQuebecCanada
| | - Audrey McCombs
- Department of Statistics, Ecology and Evolutionary Biology ProgramIowa State UniversityAmesIowa
| | | | - Nicolas Gouin
- Departamento de BiologíaFacultad de CienciasUniversidad de La SerenaLa SerenaChile
- Centro de Estudios Avanzados en Zonas ÁridasLa SerenaChile
- Instituto de Investigación Multidisciplinar en Ciencia y TecnologíaUniversidad de La SerenaLa SerenaChile
| | - Stéphanie Manel
- EPHEPSL Research UniversityCNRSUM, SupAgro, IRDINRAUMR 5175 CEFEMontpellierFrance
| | - Angéline Bertin
- Departamento de BiologíaFacultad de CienciasUniversidad de La SerenaLa SerenaChile
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12
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Troncoso AJ, Bertin A, Osorio R, Arancio G, Gouin N. Comparative population genetics of two dominant plant species of high Andean wetlands reveals complex evolutionary histories and conservation perspectives in Chile’s Norte Chico. CONSERV GENET 2017. [DOI: 10.1007/s10592-017-0957-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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