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Abe H, Gan L, Murata M, Nara K. Habitat fragmentation strongly restricts gene flow in endangered ectomycorrhizal fungal populations: Evidence from Rhizopogon togasawarius, specific to Pseudotsuga japonica, across the entire distribution range. Mol Ecol 2024; 33:e17533. [PMID: 39262289 DOI: 10.1111/mec.17533] [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: 04/03/2024] [Revised: 08/28/2024] [Accepted: 09/03/2024] [Indexed: 09/13/2024]
Abstract
Habitat fragmentation reduces gene flow, causing genetic differentiation and diversity loss in endangered species through genetic drift and inbreeding. However, the impact of habitat fragmentation on ectomycorrhizal (ECM) fungi remains unexplored, despite their critical roles in forest ecosystems. Here, we investigated the population genetic structure and the demographic history of Rhizopogon togasawarius, the ECM fungus specifically colonizing the host tree Pseudotsuga japonica, across its entire distribution range (>200 km). These two species are designated as endangered species on the IUCN Red List since they are found only in small, fragmented forests in Japan. We analysed 236 R. togasawarius individuals from five remaining populations across the Kii Peninsula and the Shikoku Island, separated by a sea channel. Simple sequence repeat analyses using 20 loci revealed strong genetic differentiation among populations (FST = 0.255), even significant in the nearest population pair separated by a distance of only 8 km (FST = 0.075), indicating extremely limited gene flow between populations. DIYABC-RF analyses implied that population divergence occurred approximately 6000 generations ago between the two regions, and nearly 1500 generations ago between the nearest populations within Shikoku Island, related to past climate events. Because of prolonged genetic isolation, significant inbreeding was confirmed in four of five populations, where effective population sizes became very small (Ne = 9.0-58.0). Although evaluation of extinction risks for microorganisms is challenging, our conservation genetic results indicated that habitat fragmentation increases extinction risk through population genetic mechanisms, and therefore should not be overlooked in biodiversity conservation efforts.
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Affiliation(s)
- Hiroshi Abe
- Evaluation of Natural Environment Laboratory, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
| | - Lu Gan
- Evaluation of Natural Environment Laboratory, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
| | - Masao Murata
- Akita Forestry Research and Training Center, Akita, Japan
| | - Kazuhide Nara
- Evaluation of Natural Environment Laboratory, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
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2
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Kouakou JL, Gonedelé-Bi S. Population genetic structure and historical demography of the population of forest elephants in Côte d'Ivoire. PLoS One 2024; 19:e0300468. [PMID: 39186735 PMCID: PMC11346955 DOI: 10.1371/journal.pone.0300468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 02/27/2024] [Indexed: 08/28/2024] Open
Abstract
The population of forest elephant (Loxodonta cyclotis) has continuously declined in Côte d'Ivoire and, the remaining population largely consists of subpopulations that are fragmented and isolated. No data actually exist on the level of genetic diversity and population genetic structure of current forest elephant populations in Côte d'Ivoire. In this sense, determining genetic diversity and the underlying mechanisms of population differentiation is crucial for the initiation of effective conservation management. A total of 158 dung samples of forest elephants were collected at stage 1 of decompositions (dung pile intact, very fresh) in three Classified Forests (CF) (Bossématié, Dassioko and Port-Gauthier) in Côte d'Ivoire. A total of 101 sequences of the mitochondrial DNA control region measuring 600 base pair and 26 haplotypes were obtained. A haplotypic diversity ranging from 0.655 ± 0.050 at Bossématié and 0.859 ± 0.088 at Port Gauthier was obtained. Fifteen (15) out of 26 haplotypes observed were singletons and only the Dassioko and Port Gauthier CFs shared the same haplotypes. The strong genetic connectivity between forest elephant populations of the Dassioko and Port Gauthier CFs is supported by the grouping of these populations into a single cluster by Bayesian analysis. Although populations of L. cyclotis exhibit relatively high genetic diversity, habitat fragmentation could affect the genetic variability of current populations. Urgent measures including the reinforcement/establishment of genetic corridors and the strengthening of protection measures need to be undertaken to save the remaining populations of forest elephants in Côte d'Ivoire.
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Affiliation(s)
- Jean-Louis Kouakou
- Laboratoire de Génomique Fonctionnelle et Amélioration Génétique, Université Nangui Abrogoua, Abidjan, Côte d’Ivoire
| | - Sery Gonedelé-Bi
- Laboratoire de Biotechnologie, Agriculture et Valorisation des Ressources Biologiques, Université Félix Houphouët Boigny, Abidjan-Cocody, Côte d’Ivoire
- Centre Suisse de Recherches Scientifiques en Côte d’Ivoire, Adiopodoumé, Côte d’Ivoire
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3
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Genetic structure and diversity of amphidromous sculpin in Shiretoko, a mountainous peninsula in Japan. CONSERV GENET 2022. [DOI: 10.1007/s10592-022-01472-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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4
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Perbolianachis P, Ferla D, Arce R, Ferreiro I, Costábile A, Paz M, Simón D, Moreno P, Cristina J. Phylogenetic analysis of SARS-CoV-2 viruses circulating in the South American region: genetic relations and vaccine strain match. Virus Res 2022; 311:198688. [PMID: 35074431 PMCID: PMC8779862 DOI: 10.1016/j.virusres.2022.198688] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 01/19/2022] [Accepted: 01/20/2022] [Indexed: 01/10/2023]
Abstract
The pandemic of coronavirus disease 2019 (COVID-19) is caused by a novel member of the family Coronaviridae, now known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Recent studies revealed the emergence of virus variants with substitutions in the spike and/or nucleocapsid and RNA-dependent RNA polymerase proteins that are partly responsible for enhanced transmission and reduced or escaped anti-SARS-CoV-2 antibodies that may reduce the efficacy of antibodies and vaccines against the first identified SARS-CoV-2 strains. In order to gain insight into the emergence and evolution of SARS-CoV-2 variants circulating in the South American region, a comprehensive phylogenetic study of SARS-CoV-2 variants circulating in this region was performed. The results of these studies revealed sharp increase in virus effective population size from March to April of 2020. At least 62 different genotypes were found to circulate in this region. Variants of concern (VOCs) Alpha, Beta, Gamma and Delta co-circulate in the region, together with variants of interest (VOIs) Lambda, Mu and Zeta. Most of SARS-CoV-2 variants circulating in the South American region belongs to B.1 genotypes and have substitutions in the spike and/or nucleocapsid and polymerase proteins that confer high transmissibility and/or immune resistance. 148 amino acid positions of the spike protein and 70 positions of the nucleocapsid were found to have substitutions in different variants isolated in the region by comparison with reference strain Wuhan-Hu-1. Significant differences in codon usage among spike genes of SARS-CoV-2 strains circulating in South America was found, which can be linked to SARS-CoV-2 genotypes.
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Affiliation(s)
- Paula Perbolianachis
- Laboratorio de Virología Molecular, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay
| | - Diego Ferla
- Laboratorio de Virología Molecular, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay
| | - Rodrigo Arce
- Laboratorio de Virología Molecular, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay
| | - Irene Ferreiro
- Laboratorio de Virología Molecular, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay
| | - Alicia Costábile
- Laboratorio de Virología Molecular, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay
| | - Mercedes Paz
- Laboratorio de Virología Molecular, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay
| | - Diego Simón
- Laboratorio de Virología Molecular, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay
| | - Pilar Moreno
- Laboratorio de Virología Molecular, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay
| | - Juan Cristina
- Laboratorio de Virología Molecular, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay.
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Maduna SN, Aars J, Fløystad I, Klütsch CFC, Zeyl Fiskebeck EML, Wiig Ø, Ehrich D, Andersen M, Bachmann L, Derocher AE, Nyman T, Eiken HG, Hagen SB. Sea ice reduction drives genetic differentiation among Barents Sea polar bears. Proc Biol Sci 2021; 288:20211741. [PMID: 34493082 PMCID: PMC8424353 DOI: 10.1098/rspb.2021.1741] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 08/12/2021] [Indexed: 12/24/2022] Open
Abstract
Loss of Arctic sea ice owing to climate change is predicted to reduce both genetic diversity and gene flow in ice-dependent species, with potentially negative consequences for their long-term viability. Here, we tested for the population-genetic impacts of reduced sea ice cover on the polar bear (Ursus maritimus) sampled across two decades (1995-2016) from the Svalbard Archipelago, Norway, an area that is affected by rapid sea ice loss in the Arctic Barents Sea. We analysed genetic variation at 22 microsatellite loci for 626 polar bears from four sampling areas within the archipelago. Our results revealed a 3-10% loss of genetic diversity across the study period, accompanied by a near 200% increase in genetic differentiation across regions. These effects may best be explained by a decrease in gene flow caused by habitat fragmentation owing to the loss of sea ice coverage, resulting in increased inbreeding of local polar bears within the focal sampling areas in the Svalbard Archipelago. This study illustrates the importance of genetic monitoring for developing adaptive management strategies for polar bears and other ice-dependent species.
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Affiliation(s)
- Simo Njabulo Maduna
- Norwegian Institute of Bioeconomy Research, Division of Environment and Natural Resources, Svanhovd, N-9925 Svanvik, Norway
| | - Jon Aars
- Norwegian Polar Institute, N-9296 Tromsø, Norway
| | - Ida Fløystad
- Norwegian Institute of Bioeconomy Research, Division of Environment and Natural Resources, Svanhovd, N-9925 Svanvik, Norway
| | - Cornelya F. C. Klütsch
- Norwegian Institute of Bioeconomy Research, Division of Environment and Natural Resources, Svanhovd, N-9925 Svanvik, Norway
| | | | - Øystein Wiig
- Natural History Museum, University of Oslo, N-0318 Oslo, Norway
| | - Dorothee Ehrich
- Department of Arctic and Marine Biology, UiT Arctic University of Tromsø, N-9037 Tromsø, Norway
| | | | - Lutz Bachmann
- Natural History Museum, University of Oslo, N-0318 Oslo, Norway
| | - Andrew E. Derocher
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2E9
| | - Tommi Nyman
- Norwegian Institute of Bioeconomy Research, Division of Environment and Natural Resources, Svanhovd, N-9925 Svanvik, Norway
| | - Hans Geir Eiken
- Norwegian Institute of Bioeconomy Research, Division of Environment and Natural Resources, Svanhovd, N-9925 Svanvik, Norway
| | - Snorre B. Hagen
- Norwegian Institute of Bioeconomy Research, Division of Environment and Natural Resources, Svanhovd, N-9925 Svanvik, Norway
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Cao Y, Zhang DY, Zeng YF, Bai WN. Recent demographic histories of temperate deciduous trees inferred from microsatellite markers. BMC Ecol Evol 2021; 21:88. [PMID: 34006219 PMCID: PMC8130339 DOI: 10.1186/s12862-021-01805-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 04/23/2021] [Indexed: 11/17/2022] Open
Abstract
Background Accurate inference of demographic histories for temperate tree species can aid our understanding of current climate change as a driver of evolution. Microsatellites are more suitable for inferring recent historical events due to their high mutation rates. However, most programs analyzing microsatellite data assume a strict stepwise mutation model (SMM), which could cause false detection of population shrinkage when microsatellite mutation does not follow SMM. Results This study aims to reconstruct the recent demographic histories of five cool-temperate tree species in Eastern Asia, Quercus mongolica, Q. liaotungensis, Juglans cathayensis, J. mandshurica and J. ailantifolia, by using 19 microsatellite markers with two methods considering generalized stepwise mutation model (GSM) (MIGRAINE and VarEff). Both programs revealed that all the five species experienced expansions after the Last Glacial Maximum (LGM). Within butternuts, J. cathayensis experienced a more serious bottleneck than the other species, and within oaks, Q. mongolica showed a moderate increase in population size and remained stable after the expansion. In addition, the point estimates of the multistep mutation proportion in the GSM model (pGSM) for all five species were between 0.50 and 0.65, indicating that when inferring population demographic history of the cool-temperate forest species using microsatellite markers, it is better to assume a GSM rather than a SMM. Conclusions This study provides the first direct evidence that five cool-temperate tree species in East Asia have experienced expansions after the LGM with microsatellite data. Considering the mutation model of microsatellite has a vital influence on demographic inference, combining multiple programs such as MIGRAINE and VarEff can effectively reduce errors caused by inappropriate model selection and prior setting. Supplementary Information The online version contains supplementary material available at 10.1186/s12862-021-01805-w.
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Affiliation(s)
- Yu Cao
- State Key Laboratory of Earth Surface Process and Resource Ecology and Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, 100875, China
| | - Da-Yong Zhang
- State Key Laboratory of Earth Surface Process and Resource Ecology and Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, 100875, China
| | - Yan-Fei Zeng
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, 100091, China
| | - Wei-Ning Bai
- State Key Laboratory of Earth Surface Process and Resource Ecology and Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, 100875, China.
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Sanchez T, Cury J, Charpiat G, Jay F. Deep learning for population size history inference: Design, comparison and combination with approximate Bayesian computation. Mol Ecol Resour 2020; 21:2645-2660. [DOI: 10.1111/1755-0998.13224] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 06/19/2020] [Accepted: 07/02/2020] [Indexed: 12/28/2022]
Affiliation(s)
- Théophile Sanchez
- Laboratoire de Recherche en Informatique CNRS UMR 8623 Université Paris‐Saclay Orsay France
| | - Jean Cury
- Laboratoire de Recherche en Informatique CNRS UMR 8623 Université Paris‐Saclay Orsay France
| | - Guillaume Charpiat
- Laboratoire de Recherche en Informatique CNRS UMR 8623 Université Paris‐Saclay Orsay France
| | - Flora Jay
- Laboratoire de Recherche en Informatique CNRS UMR 8623 Université Paris‐Saclay Orsay France
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Wang ZF, Liu HL, Dai SP, Cao HL, Wang RJ, Wang ZM. Endangered but genetically stable- Erythrophleum fordii within Feng Shui woodlands in suburbanized villages. Ecol Evol 2019; 9:10950-10963. [PMID: 32523682 PMCID: PMC7277784 DOI: 10.1002/ece3.5513] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 07/06/2019] [Accepted: 07/12/2019] [Indexed: 11/21/2022] Open
Abstract
Feng Shui woodlands are naturally or artificially formed green areas in southern China. They are precious for maintaining ecosystem balance in modern semiurban environments. However, they are generally small and geographically isolated from each other, and the status of genetic diversity of the plant species within them has been almost neglected. Therefore, we studied the genetic diversity of the endangered Erythrophleum fordii in eight Feng Shui woodlands (a total of 1,061 individuals) in Guangzhou, a large city in southern China, using microsatellites. For comparison, one population with 33 individuals sampled in a nature reserve was also studied. Although our results indicate that significant demographic declines occurred historically in E. fordii, such declines have not resulted in consistent reductions in genetic variation over generations in Feng Shui populations in the recent past, and the levels of genetic variation in these populations were higher than or comparable to the genetic variation of the population in the nature reserve. In addition, our parentage and paternity analyses indicated widespread and potential long‐distance pollen flow within one Feng Shui woodland, indicating the presence of an unbroken pollination network, which would at least partially alleviate the genetic erosion due to habitat fragmentation and the unequal gene contributions of E. fordii parents to their progenies when favorable recruitment habitats are absent under most of the parent trees. Overall, our results suggest that E. fordii in Feng Shui woodlands may not be driven to extinction in the near future. Nevertheless, uncontrolled fast urban development with a lack of awareness of Feng Shui woodlands will cause the local extinction of E. fordii, which has already happened in some Feng Shui woodlands.
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Affiliation(s)
- Zheng-Feng Wang
- Center of Plant Ecology, Core Botanical Gardens Chinese Academy of Sciences Guangzhou China.,Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden Chinese Academy of Sciences Guangzhou China
| | - Hai-Lin Liu
- Environmental Horticulture Research Institute Guangdong Academy of Agricultural Sciences Guangzhou China.,Key Lab of Ornamental Plant Germplasm Innovation and Utilization Guangzhou China.,University of Chinese Academy of Sciences Beijing China
| | - Se-Ping Dai
- Guangzhou Institute of Forestry and Landscape Architecture Guangzhou China
| | - Hong-Lin Cao
- Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden Chinese Academy of Sciences Guangzhou China
| | - Rui-Jiang Wang
- Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden Chinese Academy of Sciences Guangzhou China
| | - Zhang-Ming Wang
- Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden Chinese Academy of Sciences Guangzhou China
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Warne DJ, Baker RE, Simpson MJ. Multilevel rejection sampling for approximate Bayesian computation. Comput Stat Data Anal 2018. [DOI: 10.1016/j.csda.2018.02.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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