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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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Keggin T, Waldock C, Skeels A, Hagen O, Albouy C, Manel S, Pellissier L. Diversity across organisational scale emerges through dispersal ability and speciation dynamics in tropical fish. BMC Biol 2023; 21:282. [PMID: 38053182 PMCID: PMC10696697 DOI: 10.1186/s12915-023-01771-3] [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: 11/08/2022] [Accepted: 11/20/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Biodiversity exists at different levels of organisation: e.g. genetic, individual, population, species, and community. These levels of organisation all exist within the same system, with diversity patterns emerging across organisational scales through several key processes. Despite this inherent interconnectivity, observational studies reveal that diversity patterns across levels are not consistent and the underlying mechanisms for variable continuity in diversity across levels remain elusive. To investigate these mechanisms, we apply a spatially explicit simulation model to simulate the global diversification of tropical reef fishes at both the population and species levels through emergent population-level processes. RESULTS We find significant relationships between the population and species levels of diversity which vary depending on both the measure of diversity and the spatial partitioning considered. In turn, these population-species relationships are driven by modelled biological trait parameters, especially the divergence threshold at which populations speciate. CONCLUSIONS To explain variation in multi-level diversity patterns, we propose a simple, yet novel, population-to-species diversity partitioning mechanism through speciation which disrupts continuous diversity patterns across organisational levels. We expect that in real-world systems this mechanism is driven by the molecular dynamics that determine genetic incompatibility, and therefore reproductive isolation between individuals. We put forward a framework in which the mechanisms underlying patterns of diversity across organisational levels are universal, and through this show how variable patterns of diversity can emerge through organisational scale.
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Affiliation(s)
- Thomas Keggin
- Ecosystems and Landscape Evolution, Institute of Terrestrial Ecosystems, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland.
- Unit of Land Change Science, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.
| | - Conor Waldock
- Division of Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
- Department of Fish Ecology and Evolution, Center for Ecology, Evolution and Biogeochemistry, Eawag - Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland
| | - Alexander Skeels
- Ecosystems and Landscape Evolution, Institute of Terrestrial Ecosystems, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland
- Unit of Land Change Science, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
- Division of Ecology & Evolution, Research School of Biology, Australian National University Canberra, Canberra, Australia
| | - Oskar Hagen
- Evolution and Adaptation, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Ecological Modelling, UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany
| | - Camille Albouy
- Ecosystems and Landscape Evolution, Institute of Terrestrial Ecosystems, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland
- Unit of Land Change Science, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
| | - Stéphanie Manel
- CEFE, Univ. Montpellier, CNRS, EPHE- PSL University, Montpellier, France
- Institut Universitaire de France, Paris, France
| | - Loïc Pellissier
- Ecosystems and Landscape Evolution, Institute of Terrestrial Ecosystems, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland
- Unit of Land Change Science, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
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Gemeinholzer B, Rupp O, Becker A, Strickert M, Müller CM. Genotyping by sequencing and a newly developed mRNA-GBS approach to link population genetic and transcriptome analyses reveal pattern differences between sites and treatments in red clover (Trifolium pratense L.). Front Ecol Evol 2023. [DOI: 10.3389/fevo.2022.1003057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
The important worldwide forage crop red clover (Trifolium pratense L.) is widely cultivated as cattle feed and for soil improvement. Wild populations and landraces have great natural diversity that could be used to improve cultivated red clover. However, to date, there is still insufficient knowledge about the natural genetic and phenotypic diversity of the species. Here, we developed a low-cost complexity reduced mRNA analysis (mRNA-GBS) and compared the results with population genetic (GBS) and previously published mRNA-Seq data, to assess whether analysis of intraspecific variation within and between populations and transcriptome responses is possible simultaneously. The mRNA-GBS approach was successful. SNP analyses from the mRNA-GBS approach revealed comparable patterns to the GBS results, but due to site-specific multifactorial influences of environmental responses as well as conceptual and methodological limitations of mRNA-GBS, it was not possible to link transcriptome analyses with reduced complexity and sequencing depth to previously published greenhouse and field expression studies. Nevertheless, the use of short sequences upstream of the poly(A) tail of mRNA to reduce complexity are promising approaches that combine population genetics and expression profiling to analyze many individuals with trait differences simultaneously and cost-effectively, even in non-model species. Nevertheless, our study design across different regions in Germany was also challenging. The use of reduced complexity differential expression analyses most likely overlays site-specific patterns due to highly complex plant responses under natural conditions.
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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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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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Xie L, Yang Y, Li Y, Chen S, Feng Y, Wang N, Lv T, Ding H, Wang L, Fang Y. A Meta-Analysis Indicates Positive Correlation between Genetic Diversity and Species Diversity. BIOLOGY 2021; 10:biology10111089. [PMID: 34827082 PMCID: PMC8615265 DOI: 10.3390/biology10111089] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 10/19/2021] [Accepted: 10/22/2021] [Indexed: 01/21/2023]
Abstract
Simple Summary Understanding species and genetic correlations (SGDCs) is essential to establish community composition. In this study, 295 observations from 39 studies explored the SGDCs and the underlying drivers through conducting a global meta-analysis. A positive correlation was found, suggesting that parallel processes (environmental heterogeneity, area, and connectivity etc.) have effects on two diversities. As current biodiversity hotspots have mainly been identified based on high species diversity and high endemism of taxon, the understanding of SGDC will substantially help us to determine whether and how genetic diversity can be used in identifying biodiversity hotspots, as well as in developing conservation practices and policies for biodiversity. Abstract Species diversity (SD) and genetic diversity (GD) are the two basic levels of biodiversity. In general, according to the consensus view, the parallel effects of environmental heterogeneity, area, and connectivity on two levels, can drive a positive correlation between GD and SD. Conversely, a negative correlation or no correlation would be expected if these effects are not parallel. Our understanding of the relationships between SD and GD among different ecosystems, sampling methods, species, and under climate change remains incomplete. In the present study, we conducted a hierarchical meta-analysis based on 295 observations from 39 studies and found a positive correlation between genetic diversity and species diversity (95% confidence interval, 7.6–22.64%). However, significant relationships were not found in some ecosystems when we conducted species–genetic diversity correlation analysis based on a single ecosystem. Moreover, the magnitudes of the correlations generally decreased with the number of sampling units and the annual average the temperature of sampling units. Our results highlight the positive correlation between GD and SD, thereby indicating that protecting SD involves protecting GD in conservation practice. Furthermore, our results also suggest that global increases in temperature during the 21st century will have significant impacts on global biodiversity.
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Affiliation(s)
- Lei Xie
- Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China; (L.X.); (Y.Y.); (Y.L.); (Y.F.); (N.W.); (T.L.); (L.W.)
| | - Yuan Yang
- Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China; (L.X.); (Y.Y.); (Y.L.); (Y.F.); (N.W.); (T.L.); (L.W.)
| | - Yao Li
- Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China; (L.X.); (Y.Y.); (Y.L.); (Y.F.); (N.W.); (T.L.); (L.W.)
| | - Shuifei Chen
- Research Center for Nature Conservation and Biodiversity, State Environmental Protection Scientific Observation and Research Station for Ecology and Environment of Wuyi Mountains, State Environmental Protection Key Laboratory on Biosafety, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China; (S.C.); (H.D.)
| | - Yueyao Feng
- Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China; (L.X.); (Y.Y.); (Y.L.); (Y.F.); (N.W.); (T.L.); (L.W.)
| | - Ningjie Wang
- Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China; (L.X.); (Y.Y.); (Y.L.); (Y.F.); (N.W.); (T.L.); (L.W.)
| | - Ting Lv
- Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China; (L.X.); (Y.Y.); (Y.L.); (Y.F.); (N.W.); (T.L.); (L.W.)
| | - Hui Ding
- Research Center for Nature Conservation and Biodiversity, State Environmental Protection Scientific Observation and Research Station for Ecology and Environment of Wuyi Mountains, State Environmental Protection Key Laboratory on Biosafety, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China; (S.C.); (H.D.)
| | - Lu Wang
- Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China; (L.X.); (Y.Y.); (Y.L.); (Y.F.); (N.W.); (T.L.); (L.W.)
| | - Yanming Fang
- Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China; (L.X.); (Y.Y.); (Y.L.); (Y.F.); (N.W.); (T.L.); (L.W.)
- Correspondence:
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Sun XS, Chen YH, Zhuo N, Cui Y, Luo FL, Zhang MX. Effects of salinity and concomitant species on growth of Phragmites australis populations at different levels of genetic diversity. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 780:146516. [PMID: 33765469 DOI: 10.1016/j.scitotenv.2021.146516] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 02/22/2021] [Accepted: 03/11/2021] [Indexed: 06/12/2023]
Abstract
In plant communities, genetic diversity among dominant species can not only affect the fitness of the population, but also interactions with concomitant species. Soil salinity is a common factor that influences plant growth in estuarine wetlands. However, few studies have tested whether their high genetic diversity will be beneficial for the resistance of plant populations to salinity and the presence of concomitant plants. Four different genotypes of Phragmites australis, a dominant species of the Yellow River Delta in China, were selected to construct populations with three different genotypic levels. These populations were planted either with or without concomitant species and were subjected to control or salinity treatments. At the end of treatments, growth variables of P. australis populations were measured. In response to soil salinity, the total biomass of 1-, 2-, and 4-genotype populations decreased by 35%, 24%, and 13%, respectively, indicating higher resistance of P. australis populations with high genetic diversity. Correspondingly, 2-, and 4-genotype populations showed higher biomass allocation to roots, which can maintain adequate water uptake for plants. The biomass accumulation of 1-genotype populations with concomitant plants was significantly lower compared with populations without concomitant plants; however, no significant difference was found for 4-genotype populations between both control and salinity treatments, suggesting their higher capacities when coexisting with concomitant species. However, the genotypic level of populations did not significantly affect their biomass accumulation. High genetic diversity is greatly beneficial for the resistance of P. australis populations to salinity and coexistence with other plants. This information should be considered in the construction or restoration of this species in estuarine wetlands.
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Affiliation(s)
- Xin-Sheng Sun
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
| | - Yu-Han Chen
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
| | - Na Zhuo
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
| | - Yuan Cui
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
| | - Fang-Li Luo
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China.
| | - Ming-Xiang Zhang
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China.
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Lozada-Gobilard S, Schwarzer C, Dyer R, Tiedemann R, Joshi J. Genetic Diversity and Connectivity in Plant Species Differing in Clonality and Dispersal Mechanisms in Wetland Island Habitats. J Hered 2021; 112:108-121. [PMID: 33555304 DOI: 10.1093/jhered/esaa059] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Accepted: 12/15/2020] [Indexed: 11/14/2022] Open
Abstract
In plants, long-distance dispersal is both attenuated and directed by specific movement vectors, including animals, wind, and/or water. Hence, movement vectors partly shape metapopulation genetic patterns that are, however, also influenced by other life-history traits such as clonal growth. We studied the relationship between area, isolation, plant-species richness, reproduction, and dispersal mechanisms with genetic diversity and divergence in 4 widespread wetland plant-species in a total of 20 island-like kettle-hole habitats surrounded by an intensive agricultural landscape. Our results showed that genetic parameters reflect the reproduction strategies with the highest genetic diversity being observed in the non-clonal, outcrossing Oenanthe aquatica compared to the clonal Lycopus europaeus, Typha latifolia, and Phragmites australis. Lycopus showed a positive relationship between genetic diversity and kettle-hole area, but a negative relationship with the number of neighboring kettle holes (less isolation). Genetic diversity increased with plant-species richness in the clonal species Phragmites and Lycopus; while it decreased in the non-clonal Oenanthe. Finally, genetic divergence and, therefore, connectivity differed between alternative dispersal strategies, where wind-dispersed Typha and Phragmites had a higher gene flow between the analyzed kettle holes compared with the insect-pollinated, hydrochorous Lycopus and Oenanthe. Our study provides information on genetic patterns related to reproduction and dispersal mechanisms of 4 common wetland species contributing to the understanding of the functioning of plant metacommunities occurring in kettle holes embedded in agricultural landscapes.
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Affiliation(s)
- Sissi Lozada-Gobilard
- Unit of Evolutionary Biology/Systematic Zoology, University of Potsdam, Karl-Liebknecht-Str. 24-25, Potsdam, Germany.,The Botanical Garden, School of Plant Sciences and Food Security, G.S. Wise Faculty of Life Science, Tel Aviv University, Israel
| | - Christian Schwarzer
- Plant Systematics and Biodiversity, Humboldt University of Berlin, Späth-Arboretum, Späthstr. 80/81, Berlin, Germany
| | - Rodney Dyer
- Center of Environmental Studies, Virginia Commonwealth University, Richmond, VA
| | - Ralph Tiedemann
- Unit of Evolutionary Biology/Systematic Zoology, University of Potsdam, Karl-Liebknecht-Str. 24-25, Potsdam, Germany
| | - Jasmin Joshi
- Institute for Landscape and Open Space, Eastern Switzerland University of Applied Sciences, Seestrasse 10, Rapperswil, Switzerland.,Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Altensteinstr. 6, Berlin, Germany
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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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10
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Gouin N, Bertin A, Espinosa MI, Snow DD, Ali JM, Kolok AS. Pesticide contamination drives adaptive genetic variation in the endemic mayfly Andesiops torrens within a semi-arid agricultural watershed of Chile. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 255:113099. [PMID: 31600702 DOI: 10.1016/j.envpol.2019.113099] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 08/01/2019] [Accepted: 08/21/2019] [Indexed: 06/10/2023]
Abstract
Agrichemical contamination can provoke evolutionary responses in freshwater populations. It is a particularly relevant issue in semi-arid regions due to the sensitivity of endemic species to pollutants and to interactions with temperature stress. This paper investigates the presence of pesticides in rivers within a semi-arid agricultural watershed of Chile, testing for their effects on population genetic characteristics of the endemic mayfly Andesiops torrens (Insecta, Ephemeroptera). Pesticides were detected in sediment samples in ten out of the 30 sites analyzed throughout the upper part of the Limarí watershed. To study the evolutionary impact of such contamination on A. torrens, we used a genome-wide approach and analyzed 2056 single nucleotide polymorphisms (SNPs) loci in 551 individuals from all sites. Genetic differentiation was weak between populations, suggesting high gene flow across the study area. While we did not find evidence of pesticide effects on genetic diversity nor on population differentiation, the allele frequency of three outlier SNP loci correlated significantly with pesticide occurrence. Interrogation of genomic resources indicates that two of these SNPs are located within functional genes that encode for the low-density lipoprotein receptor-related protein 2 and Dumpy, both potentially involved in insect cuticle resistance processes. Such genomic signatures of local adaptation are indicative of past adverse effects of pesticide exposure on the locally adapted populations. Our results reveal that A. torrens is sensitive to pesticide exposure, but that a high gene flow may confer resilience to contamination. This research supports the contention that A. torrens is an ideal model organism to study evolutionary responses induced by pesticides on non-target, endemic species.
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Affiliation(s)
- Nicolas Gouin
- Departamento de Biología, Universidad de La Serena, Raúl Bitrán, 1305, La Serena, Chile; Instituto de Investigación Multidisciplinar en Ciencia y Tecnología, Universidad de La Serena, La Serena, Chile; Centro de Estudios Avanzados Zonas en Áridas, Raúl Bitrán, 1305, La Serena, Chile.
| | - Angéline Bertin
- Departamento de Biología, Universidad de La Serena, Raúl Bitrán, 1305, La Serena, Chile.
| | - Mara I Espinosa
- Departamento de Biología, Universidad de La Serena, Raúl Bitrán, 1305, La Serena, Chile.
| | - Daniel D Snow
- Nebraska Water Center, University of Nebraska-Lincoln, Lincoln, NE, 68583-0844, United States.
| | - Jonathan M Ali
- Department of Environmental, Agricultural and Occupational Health, University of Nebraska Medical Center, Omaha, NE, USA.
| | - Alan S Kolok
- Idaho Water Resources Research Institute, University of Idaho, Moscow, ID, 83844-3002, United States.
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