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Buckley SJ, Brauer CJ, Unmack PJ, Hammer MP, Adams M, Beatty SJ, Morgan DL, Beheregaray LB. Long-term climatic stability drives accumulation and maintenance of divergent freshwater fish lineages in a temperate biodiversity hotspot. Heredity (Edinb) 2024:10.1038/s41437-024-00700-6. [PMID: 38918613 DOI: 10.1038/s41437-024-00700-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 06/17/2024] [Accepted: 06/17/2024] [Indexed: 06/27/2024] Open
Abstract
Anthropogenic climate change is forecast to drive regional climate disruption and instability across the globe. These impacts are likely to be exacerbated within biodiversity hotspots, both due to the greater potential for species loss but also to the possibility that endemic lineages might not have experienced significant climatic variation in the past, limiting their evolutionary potential to respond to rapid climate change. We assessed the role of climatic stability on the accumulation and persistence of lineages in an obligate freshwater fish group endemic to the southwest Western Australia (SWWA) biodiversity hotspot. Using 19,426 genomic (ddRAD-seq) markers and species distribution modelling, we explored the phylogeographic history of western (Nannoperca vittata) and little (Nannoperca pygmaea) pygmy perches, assessing population divergence and phylogenetic relationships, delimiting species and estimating changes in species distributions from the Pliocene to 2100. We identified two deep phylogroups comprising three divergent clusters, which showed no historical connectivity since the Pliocene. We conservatively suggest these represent three isolated species with additional intraspecific structure within one widespread species. All lineages showed long-term patterns of isolation and persistence owing to climatic stability but with significant range contractions likely under future climate change. Our results highlighted the role of climatic stability in allowing the persistence of isolated lineages in the SWWA. This biodiversity hotspot is under compounding threat from ongoing climate change and habitat modification, which may further threaten previously undetected cryptic diversity across the region.
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Affiliation(s)
- Sean James Buckley
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, 5001, Australia
- School of Biological Sciences, University of Western Australia, Perth, WA, 6000, Australia
- Molecular Ecology and Evolution Group, School of Science, Edith Cowan University, Joondalup, WA, 6027, Australia
| | - Chris J Brauer
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, 5001, Australia
| | - Peter J Unmack
- Centre for Applied Water Science, University of Canberra, Canberra, ACT 2601, Australia
- School of Biological Sciences, Monash University, Clayton, VIC, 3800, Australia
| | - Michael P Hammer
- Natural Sciences, Museum and Art Gallery of the Northern Territory, Darwin, NT, 0801, Australia
| | - Mark Adams
- Evolutionary Biology Unit, South Australian Museum, Adelaide, SA, 5000, Australia
- School of Biological Sciences, The University of Adelaide, Adelaide, SA, 5000, Australia
| | - Stephen J Beatty
- Centre for Sustainable Aquatic Ecosystems, Harry Butler Institute, Murdoch University, Murdoch, WA, 6150, Australia
| | - David L Morgan
- Centre for Sustainable Aquatic Ecosystems, Harry Butler Institute, Murdoch University, Murdoch, WA, 6150, Australia
| | - Luciano B Beheregaray
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, 5001, Australia.
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2
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Li R, Li X, Yang R, Farooq M, Tian Z, Xu Y, Shao N, Liu S, Xiao W. Bioassessment of Macroinvertebrate Communities Influenced by Gradients of Human Activities. INSECTS 2024; 15:131. [PMID: 38392550 PMCID: PMC10889158 DOI: 10.3390/insects15020131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 02/10/2024] [Accepted: 02/11/2024] [Indexed: 02/24/2024]
Abstract
This study explores the impact of anthropogenic land use changes on the macroinvertebrate community structure in the streams of the Cangshan Mountains. Through field collections of macroinvertebrates, measurement of water environments, and delineation of riparian zone land use in eight streams, we analyzed the relationship between land use types, stream water environments, and macroinvertebrate diversities. The results demonstrate urban land use type and water temperature are the key environmental factors driving the differences in macroinvertebrate communities up-, mid-, and downstream. The disturbed streams had lower aquatic biodiversity than those in their natural state, showing a decrease in disturbance-sensitive aquatic insect taxa and a more similar community structure. In the natural woodland area, species distributions may be constrained by watershed segmentation and present more complex community characteristics.
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Affiliation(s)
- Rui Li
- Institute of Eastern-Himalaya Biodiversity Research, Dali University, Dali 671003, China
- Collaborative Innovation Center for Biodiversity and Conservation in the Three Parallel Rivers Region of China, Dali 671003, China
- The Provincial Innovation Team of Biodiversity Conservation and Utility of the Three Parallel Rivers Region, Dali University, Dali 671003, China
| | - Xianfu Li
- Institute of Eastern-Himalaya Biodiversity Research, Dali University, Dali 671003, China
- Collaborative Innovation Center for Biodiversity and Conservation in the Three Parallel Rivers Region of China, Dali 671003, China
- The Provincial Innovation Team of Biodiversity Conservation and Utility of the Three Parallel Rivers Region, Dali University, Dali 671003, China
| | - Ronglong Yang
- Institute of Eastern-Himalaya Biodiversity Research, Dali University, Dali 671003, China
- Collaborative Innovation Center for Biodiversity and Conservation in the Three Parallel Rivers Region of China, Dali 671003, China
- The Provincial Innovation Team of Biodiversity Conservation and Utility of the Three Parallel Rivers Region, Dali University, Dali 671003, China
| | - Muhammad Farooq
- Institute of Eastern-Himalaya Biodiversity Research, Dali University, Dali 671003, China
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Zhen Tian
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Yaning Xu
- Institute of Eastern-Himalaya Biodiversity Research, Dali University, Dali 671003, China
- Collaborative Innovation Center for Biodiversity and Conservation in the Three Parallel Rivers Region of China, Dali 671003, China
- The Provincial Innovation Team of Biodiversity Conservation and Utility of the Three Parallel Rivers Region, Dali University, Dali 671003, China
| | - Nan Shao
- Institute of Eastern-Himalaya Biodiversity Research, Dali University, Dali 671003, China
- Collaborative Innovation Center for Biodiversity and Conservation in the Three Parallel Rivers Region of China, Dali 671003, China
- The Provincial Innovation Team of Biodiversity Conservation and Utility of the Three Parallel Rivers Region, Dali University, Dali 671003, China
| | - Shuoran Liu
- Institute of Eastern-Himalaya Biodiversity Research, Dali University, Dali 671003, China
- Collaborative Innovation Center for Biodiversity and Conservation in the Three Parallel Rivers Region of China, Dali 671003, China
- The Provincial Innovation Team of Biodiversity Conservation and Utility of the Three Parallel Rivers Region, Dali University, Dali 671003, China
| | - Wen Xiao
- Institute of Eastern-Himalaya Biodiversity Research, Dali University, Dali 671003, China
- Collaborative Innovation Center for Biodiversity and Conservation in the Three Parallel Rivers Region of China, Dali 671003, China
- The Provincial Innovation Team of Biodiversity Conservation and Utility of the Three Parallel Rivers Region, Dali University, Dali 671003, China
- Yunling Black-and-White Snub-Nosed Monkey Observation and Research Station of Yunnan Province, Dali 671003, China
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3
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Friis G, Smith EG, Lovelock CE, Ortega A, Marshell A, Duarte CM, Burt JA. Rapid diversification of grey mangroves (Avicennia marina) driven by geographic isolation and extreme environmental conditions in the Arabian Peninsula. Mol Ecol 2024; 33:e17260. [PMID: 38197286 DOI: 10.1111/mec.17260] [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: 12/07/2022] [Revised: 11/13/2023] [Accepted: 12/11/2023] [Indexed: 01/11/2024]
Abstract
Biological systems occurring in ecologically heterogeneous and spatially discontinuous habitats provide an ideal opportunity to investigate the relative roles of neutral and selective factors in driving lineage diversification. The grey mangroves (Avicennia marina) of Arabia occur at the northern edge of the species' range and are subject to variable, often extreme, environmental conditions, as well as historic large fluctuations in habitat availability and connectivity resulting from Quaternary glacial cycles. Here, we analyse fully sequenced genomes sampled from 19 locations across the Red Sea, the Arabian Sea and the Persian/Arabian Gulf (PAG) to reconstruct the evolutionary history of the species in the region and to identify adaptive mechanisms of lineage diversification. Population structure and phylogenetic analyses revealed marked genetic structure correlating with geographic distance and highly supported clades among and within the seas surrounding the Arabian Peninsula. Demographic modelling showed times of divergence consistent with recent periods of geographic isolation and low marine connectivity during glaciations, suggesting the presence of (cryptic) glacial refugia in the Red Sea and the PAG. Significant migration was detected within the Red Sea and the PAG, and across the Strait of Hormuz to the Arabian Sea, suggesting gene flow upon secondary contact among populations. Genetic-environment association analyses revealed high levels of adaptive divergence and detected signs of multi-loci local adaptation driven by temperature extremes and hypersalinity. These results support a process of rapid diversification resulting from the combined effects of historical factors and ecological selection and reveal mangrove peripheral environments as relevant drivers of lineage diversity.
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Affiliation(s)
- Guillermo Friis
- Center for Genomics and Systems Biology (CGSB) and Mubadala ACCESS Center, New York University - Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Edward G Smith
- Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Catherine E Lovelock
- School of Environment, The University of Queensland, St Lucia, Queensland, Australia
| | - Alejandra Ortega
- Red Sea Research Center (RSRC) and Computational Bioscience Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Alyssa Marshell
- Department of Marine Science and Fisheries, College of Agricultural and Marine Sciences, Sultan Qaboos University, Muscat, Oman
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
| | - Carlos M Duarte
- Red Sea Research Center (RSRC) and Computational Bioscience Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - John A Burt
- Center for Genomics and Systems Biology (CGSB) and Mubadala ACCESS Center, New York University - Abu Dhabi, Abu Dhabi, United Arab Emirates
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Pratt EAL, Beheregaray LB, Fruet P, Tezanos-Pinto G, Bilgmann K, Zanardo N, Diaz-Aguirre F, Secchi ER, Freitas TRO, Möller LM. Genomic Divergence and the Evolution of Ecotypes in Bottlenose Dolphins (Genus Tursiops). Genome Biol Evol 2023; 15:evad199. [PMID: 37935115 PMCID: PMC10655200 DOI: 10.1093/gbe/evad199] [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: 10/27/2023] [Revised: 10/03/2023] [Accepted: 10/14/2023] [Indexed: 11/09/2023] Open
Abstract
Climatic changes have caused major environmental restructuring throughout the world's oceans. Marine organisms have responded to novel conditions through various biological systems, including genomic adaptation. Growing accessibility of next-generation DNA sequencing methods to study nonmodel species has recently allowed genomic changes underlying environmental adaptations to be investigated. This study used double-digest restriction-site associated DNA (ddRAD) sequence data to investigate the genomic basis of ecotype formation across currently recognized species and subspecies of bottlenose dolphins (genus Tursiops) in the Southern Hemisphere. Subspecies-level genomic divergence was confirmed between the offshore common bottlenose dolphin (T. truncatus truncatus) and the inshore Lahille's bottlenose dolphin (T. t. gephyreus) from the southwestern Atlantic Ocean (SWAO). Similarly, subspecies-level divergence is suggested between inshore (eastern Australia) Indo-Pacific bottlenose dolphin (T. aduncus) and the proposed Burrunan dolphin (T. australis) from southern Australia. Inshore bottlenose dolphin lineages generally had lower genomic diversity than offshore lineages, a pattern particularly evident for T. t. gephyreus, which showed exceptionally low diversity. Genomic regions associated with cardiovascular, musculoskeletal, and energy production systems appear to have undergone repeated adaptive evolution in inshore lineages across the Southern Hemisphere. We hypothesize that comparable selective pressures in the inshore environment drove similar adaptive responses in each lineage, supporting parallel evolution of inshore bottlenose dolphins. With climate change altering marine ecosystems worldwide, it is crucial to gain an understanding of the adaptive capacity of local species and populations. Our study provides insights into key adaptive pathways that may be important for the long-term survival of cetaceans and other organisms in a changing marine environment.
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Affiliation(s)
- Eleanor A L Pratt
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
- Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Luciano B Beheregaray
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Pedro Fruet
- Laboratório de Ecologia e Conservação da Megafauna Marinha (ECOMEGA), Universidade Federal do Rio Grande-FURG, Rio Grande, Brazil
- Museu Oceanográfico Prof. Eliézer de C. Rios, Universidade Federal do Rio Grande-FURG, Rio Grande, Brazil
- Kaosa, Rio Grande, Brazil
| | | | - Kerstin Bilgmann
- Department of Biological Sciences, Macquarie University, North Ryde, New South Wales, Australia
| | - Nikki Zanardo
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
- Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
- Department of Environment and Water, Adelaide, South Australia, Australia
| | - Fernando Diaz-Aguirre
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
- Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
| | - Eduardo R Secchi
- Laboratório de Ecologia e Conservação da Megafauna Marinha (ECOMEGA), Universidade Federal do Rio Grande-FURG, Rio Grande, Brazil
- Museu Oceanográfico Prof. Eliézer de C. Rios, Universidade Federal do Rio Grande-FURG, Rio Grande, Brazil
| | - Thales R O Freitas
- Laboratório de Citogenética e Evolução, Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Luciana M Möller
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
- Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia
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Chowdhury LM, Chaturvedi S, Mandal S, Kumar R, Singh RK, Lal KK, Mohindra V. Development of novel microsatellite markers for population differentiation and detection of natural selection in wild populations of butter catfish, Ompok bimaculatus (Bloch, 1794). Mol Biol Rep 2023; 50:2435-2444. [PMID: 36595121 DOI: 10.1007/s11033-022-08105-6] [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: 10/02/2022] [Accepted: 11/08/2022] [Indexed: 01/04/2023]
Abstract
BACKGROUND Butter catfish (Ompok bimaculatus) is a preferred species in South East Asia, with huge aquaculture potential. However, there is limited information about genetic stock composition due to insufficient markers. The goal of this study was to develop de novo microsatellite markers. METHODS AND RESULTS For sequencing, genomic SMRT bell libraries (1.5 Kbp size) were prepared for O. bimaculatus. A total of 114 SSR containing sequences were used for primer designing. Polymorphic loci were validated by genotyping 83 individuals from four distant riverine populations, viz., Brahmaputra, Bichiya, Gomti and Kaveri. A total of 30 microsatellite loci were polymorphic, of which five were found to be associated with functional genes and eight (four positive and four negative) loci were found to be under selection pressure. A total of 115 alleles were detected in all loci and PIC ranged from 0.539 to 0.927 and pair-wise FST values from 0.1267 to 0.26002 (p < 0.001), with an overall FST value of 0.17047, indicating the presence of population sub-structure. Cross-species transferability of 29 loci (96.67%) was successful in congener species, Ompok pabda. CONCLUSION The novel SSR markers developed in this study would facilitate stock characterization of natural populations, to be used in future selection breeding programs and planning conservation strategies in these species. Identified non-neutral markers will give insights into the effect of local adaptation on genetic differentiation in the natural population of this species.
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Affiliation(s)
- Labrechai Mog Chowdhury
- Fish Conservation Division, ICAR-National Bureau of Fish Genetic Resources, Canal Ring Road, PO-Dilkusha, 226002, Lucknow, Uttar Pradesh, India
| | - Shradha Chaturvedi
- Fish Conservation Division, ICAR-National Bureau of Fish Genetic Resources, Canal Ring Road, PO-Dilkusha, 226002, Lucknow, Uttar Pradesh, India
| | - Sangeeta Mandal
- ICAR- National Bureau of Fish Genetic Resources (NBFGR), Canal Ring Road, PO-Dilkusha, 226002, Lucknow, Uttar Pradesh, India. .,Fish Conservation Division, ICAR-National Bureau of Fish Genetic Resources, Canal Ring Road, PO-Dilkusha, 226002, Lucknow, Uttar Pradesh, India.
| | - Rajesh Kumar
- Fish Conservation Division, ICAR-National Bureau of Fish Genetic Resources, Canal Ring Road, PO-Dilkusha, 226002, Lucknow, Uttar Pradesh, India
| | - Rajeev K Singh
- Fish Conservation Division, ICAR-National Bureau of Fish Genetic Resources, Canal Ring Road, PO-Dilkusha, 226002, Lucknow, Uttar Pradesh, India
| | - Kuldeep K Lal
- ICAR- National Bureau of Fish Genetic Resources (NBFGR), Canal Ring Road, PO-Dilkusha, 226002, Lucknow, Uttar Pradesh, India
| | - Vindhya Mohindra
- Fish Conservation Division, ICAR-National Bureau of Fish Genetic Resources, Canal Ring Road, PO-Dilkusha, 226002, Lucknow, Uttar Pradesh, India
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Valette T, Leitwein M, Lascaux JM, Desmarais E, Berrebi P, Guinand B. Redundancy analysis, genome-wide association studies and the pigmentation of brown trout (Salmo trutta L.). JOURNAL OF FISH BIOLOGY 2023; 102:96-118. [PMID: 36218076 DOI: 10.1111/jfb.15243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Accepted: 10/04/2022] [Indexed: 06/16/2023]
Abstract
The association of molecular variants with phenotypic variation is a main issue in biology, often tackled with genome-wide association studies (GWAS). GWAS are challenging, with increasing, but still limited, use in evolutionary biology. We used redundancy analysis (RDA) as a complimentary ordination approach to single- and multitrait GWAS to explore the molecular basis of pigmentation variation in brown trout (Salmo trutta) belonging to wild populations impacted by hatchery fish. Based on 75,684 single nucleotide polymorphic (SNP) markers, RDA, single- and multitrait GWAS allowed the extraction of 337 independent colour patterning loci (CPLs) associated with trout pigmentation traits, such as the number of red and black spots on flanks. Collectively, these CPLs (i) mapped onto 35 out of 40 brown trout linkage groups indicating a polygenic genomic architecture of pigmentation, (ii) were found to be associated with 218 candidate genes, including 197 genes formerly mentioned in the literature associated to skin pigmentation, skin patterning, differentiation or structure notably in a close relative, the rainbow trout (Onchorhynchus mykiss), and (iii) related to functions relevant to pigmentation variation (e.g., calcium- and ion-binding, cell adhesion). Annotated CPLs include genes with well-known pigmentation effects (e.g., PMEL, SLC45A2, SOX10), but also markers associated with genes formerly found expressed in rainbow or brown trout skins. RDA was also shown to be useful to investigate management issues, especially the dynamics of trout pigmentation submitted to several generations of hatchery introgression.
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Snead AA, Alda F. Time-Series Sequences for Evolutionary Inferences. Integr Comp Biol 2022; 62:1771-1783. [PMID: 36104153 DOI: 10.1093/icb/icac146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/28/2022] [Accepted: 07/29/2022] [Indexed: 01/05/2023] Open
Affiliation(s)
- Anthony A Snead
- Department of Biological Sciences, University of Alabama, 300 Hackberry Lane, Tuscaloosa, AL 35487, USA
| | - Fernando Alda
- Department of Biology, Geology and Environmental Science, University of Tennessee at Chattanooga, 615 McCallie Ave, Chattanooga, TN 37403, USA
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Marshall IR, Brauer CJ, Wedderburn SD, Whiterod NS, Hammer MP, Barnes TC, Attard CRM, Möller LM, Beheregaray LB. Longitudinal monitoring of neutral and adaptive genomic diversity in a reintroduction. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2022; 36:e13889. [PMID: 35023224 DOI: 10.1111/cobi.13889] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 12/16/2021] [Accepted: 12/28/2021] [Indexed: 06/14/2023]
Abstract
Restoration programs in the form of ex-situ breeding combined with reintroductions are becoming critical to counteract demographic declines and species losses. Such programs are increasingly using genetic management to improve conservation outcomes. However, the lack of long-term monitoring of genetic indicators following reintroduction prevents assessments of the trajectory and persistence of reintroduced populations. We carried out an extensive monitoring program in the wild for a threatened small-bodied fish (southern pygmy perch, Nannoperca australis) to assess the long-term genomic effects of its captive breeding and reintroduction. The species was rescued prior to its extirpation from the terminal lakes of Australia's Murray-Darling Basin, and then used for genetically informed captive breeding and reintroductions. Subsequent annual or biannual monitoring of abundance, fitness, and occupancy over a period of 11 years, combined with postreintroduction genetic sampling, revealed survival and recruitment of reintroduced fish. Genomic analyses based on data from the original wild rescued, captive born, and reintroduced cohorts revealed low inbreeding and strong maintenance of neutral and candidate adaptive genomic diversity across multiple generations. An increasing trend in the effective population size of the reintroduced population was consistent with field monitoring data in demonstrating successful re-establishment of the species. This provides a rare empirical example that the adaptive potential of a locally extinct population can be maintained during genetically informed ex-situ conservation breeding and reintroduction into the wild. Strategies to improve biodiversity restoration via ex-situ conservation should include genetic-based captive breeding and longitudinal monitoring of standing genomic variation in reintroduced populations.
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Affiliation(s)
- Imogen R Marshall
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia
| | - Chris J Brauer
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia
| | - Scotte D Wedderburn
- School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Nick S Whiterod
- Aquasave-Nature Glenelg Trust, Victor Harbor, South Australia, Australia
| | - Michael P Hammer
- Natural Sciences, Museum and Art Gallery of the Northern Territory, Darwin, Northern Territory, Australia
| | - Thomas C Barnes
- New South Wales Department of Primary Industries, Port Stephens Fisheries Institute, Nelson Bay, New South Wales, Australia
- Institute of Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
| | - Catherine R M Attard
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia
| | - Luciana M Möller
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia
| | - Luciano B Beheregaray
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia
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9
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Bertram A, Fairclough D, Sandoval‐Castillo J, Brauer C, Fowler A, Wellenreuther M, Beheregaray LB. Fisheries genomics of snapper (
Chrysophrys auratus
) along the west Australian coast. Evol Appl 2022; 15:1099-1114. [PMID: 35899251 PMCID: PMC9309437 DOI: 10.1111/eva.13439] [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: 01/18/2022] [Revised: 06/15/2022] [Accepted: 06/16/2022] [Indexed: 11/28/2022] Open
Abstract
The efficacy of fisheries management strategies depends on stock assessment and management actions being carried out at appropriate spatial scales. This requires understanding of spatial and temporal population structure and connectivity, which is challenging in weakly structured and highly connected marine populations. We carried out a population genomics study of the heavily exploited snapper (Chrysophrys auratus) along ~2600 km of the Australian coastline, with a focus on Western Australia (WA). We used 10,903 filtered SNPs in 341 individuals from eight sampling locations to characterize population structure and connectivity in snapper across WA and to assess if current spatial scales of stock assessment and management agree with evidence from population genomics. Our dataset also enabled us to investigate temporal stability in population structure as well as connectivity between WA and its nearest, eastern jurisdictional neighbour. As expected for a species influenced by the extensive ocean boundary current in the region, low genetic differentiation and high connectivity were uncovered across WA. However, we did detect strong isolation by distance and genetic discontinuities in the mid‐west and south‐east. The discontinuities correlate with boundaries between biogeographic regions, influenced by on‐shelf oceanography, and the sites of important spawning aggregations. We also detected temporal instability in genetic structure at one of our sites, possibly due to interannual variability in recruitment in adjacent regions. Our results partly contrast with the current spatial management of snapper in WA, indicating the likely benefits of a review. This study supports the value of population genomic surveys in informing the management of weakly structured and wide‐ranging marine fishery resources.
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Affiliation(s)
- Andrea Bertram
- Molecular Ecology Laboratory, College of Science and Engineering Flinders University Bedford Park SA Australia
| | - David Fairclough
- Aquatic Sciences and Assessment, Department of Primary Industries and Regional Development, Hillarys WA Australia
| | - Jonathan Sandoval‐Castillo
- Molecular Ecology Laboratory, College of Science and Engineering Flinders University Bedford Park SA Australia
| | - Chris Brauer
- Molecular Ecology Laboratory, College of Science and Engineering Flinders University Bedford Park SA Australia
| | - Anthony Fowler
- Aquatic Sciences South Australian Research and Development Institute SA Australia
| | - Maren Wellenreuther
- The New Zealand Institute for Plant and Food Research Limited Nelson New Zealand
- The School of Biological Sciences University of Auckland Auckland New Zealand
| | - Luciano B. Beheregaray
- Molecular Ecology Laboratory, College of Science and Engineering Flinders University Bedford Park SA Australia
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10
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Buckley SJ, Brauer CJ, Unmack PJ, Hammer MP, Beheregaray LB. Variation in intraspecific demography drives localised concordance but species-wide discordance in response to past climatic change. BMC Ecol Evol 2022; 22:35. [PMID: 35317750 PMCID: PMC8941757 DOI: 10.1186/s12862-022-01990-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 03/11/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Understanding how species biology may facilitate resilience to climate change remains a critical factor in detecting and protecting species at risk of extinction. Many studies have focused on the role of particular ecological traits in driving species responses, but less so on demographic history and levels of standing genetic variation. Additionally, spatial variation in the interaction of demographic and adaptive factors may further complicate prediction of species responses to environmental change. We used environmental and genomic datasets to reconstruct the phylogeographic histories of two ecologically similar and largely co-distributed freshwater fishes, the southern (Nannoperca australis) and Yarra (N. obscura) pygmy perches, to assess the degree of concordance in their responses to Plio-Pleistocene climatic changes. We described contemporary genetic diversity, phylogenetic histories, demographic histories, and historical species distributions across both species, and statistically evaluated the degree of concordance in co-occurring populations. RESULTS Marked differences in contemporary genetic diversity, historical distribution changes and historical migration were observed across the species, with a distinct lack of genetic diversity and historical range expansion suggested for N. obscura. Although several co-occurring populations within a shared climatic refugium demonstrated concordant demographic histories, idiosyncratic population size changes were found at the range edges of the more spatially restricted species. Discordant responses between species were associated with low standing genetic variation in peripheral populations. This might have hindered adaptive potential, as documented in recent demographic declines and population extinctions for the two species. CONCLUSION Our results highlight both the role of spatial scale in the degree of concordance in species responses to climate change, and the importance of standing genetic variation in facilitating range shifts. Even when ecological traits are similar between species, long-term genetic diversity and historical population demography may lead to discordant responses to ongoing and future climate change.
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Affiliation(s)
- Sean James Buckley
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, 5001, Australia
| | - Chris J Brauer
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, 5001, Australia
| | - Peter J Unmack
- Centre for Applied Water Science, Institute for Applied Ecology, University of Canberra, Canberra, ACT, 2601, Australia
| | - Michael P Hammer
- Natural Sciences, Museum and Art Gallery of the Northern Territory, Darwin, NT, 0801, Australia
| | - Luciano B Beheregaray
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, 5001, Australia.
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11
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Hay AC, Sandoval-Castillo J, Cooke GM, Chao NL, Beheregaray LB. Riverscape Genomics Clarifies Neutral and Adaptive Evolution in an Amazonian Characin Fish (Triportheus albus). Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.825406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Understanding the role of natural selection in the evolution of wild populations is challenging due to the spatial complexity of natural systems. The richest diversity of freshwater fishes in the world is found in the Amazon Basin, a system where marked hydrochemical differences exist at the interface of major rivers with distinct “water colors” (i.e., black, white, and clear water). We hypothesize that divergent natural selection associated with these “aquatic ecotones” influences population-level adaptive divergence in the non-migratory Amazonian fish fauna. This hypothesis was tested using a landscape genomics framework to compare the relative contribution of environmental and spatial factors to the evolutionary divergence of the Amazonian characin fish Triportheus albus. The framework was based on spatial data, in situ hydrochemical measurements, and 15,251 filtered SNPs (single nucleotide polymorphisms) for T. albus sampled from three major Amazonian rivers. Gradient Forest, redundancy analysis (RDA) and BayPass analyses were used to test for signals of natural selection, and model-based and model-free approaches were used to evaluate neutral population differentiation. After controlling for a signal of neutral hierarchical structure which was consistent with the expectations for a dendritic system, variation in turbidity and pH were key factors contributing to adaptive divergence. Variation in genes involved in acid-sensitive ion transport pathways and light-sensitive photoreceptor pathways was strongly associated with pH and turbidity variability. This study improves our understanding of how natural selection and neutral evolution impact on the distribution of aquatic biodiversity from the understudied and ecologically complex Amazonia.
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12
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Rayne A, Blair S, Dale M, Flack B, Hollows J, Moraga R, Parata RN, Rupene M, Tamati‐Elliffe P, Wehi PM, Wylie MJ, Steeves TE. Weaving place‐based knowledge for culturally significant species in the age of genomics: Looking to the past to navigate the future. Evol Appl 2022; 15:751-772. [PMID: 35603033 PMCID: PMC9108313 DOI: 10.1111/eva.13367] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 02/16/2022] [Accepted: 02/24/2022] [Indexed: 11/28/2022] Open
Abstract
Relationships with place provide critical context for characterizing biocultural diversity. Yet, genetic and genomic studies are rarely informed by Indigenous or local knowledge, processes, and practices, including the movement of culturally significant species. Here, we show how place‐based knowledge can better reveal the biocultural complexities of genetic or genomic data derived from culturally significant species. As a case study, we focus on culturally significant southern freshwater kōura (crayfish) in Aotearoa me Te Waipounamu (New Zealand, herein Aotearoa NZ). Our results, based on genotyping‐by‐sequencing markers, reveal strong population genetic structure along with signatures of population admixture in 19 genetically depauperate populations across the east coast of Te Waipounamu. Environment association and differentiation analyses for local adaptation also indicate a role for hydroclimatic variables—including temperature, precipitation, and water flow regimes—in shaping local adaptation in kōura. Through trusted partnerships between community and researchers, weaving genomic markers with place‐based knowledge has both provided invaluable context for the interpretation of data and created opportunities to reconnect people and place. We envisage such trusted partnerships guiding future genomic research for culturally significant species in Aotearoa NZ and beyond.
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Affiliation(s)
- Aisling Rayne
- University of Canterbury School of Biological Sciences Christchurch New Zealand
| | | | - Matthew Dale
- Waterscape Connections Ltd Dunedin New Zealand
- Te Rūnanga o Ngāi Tahu Dunedin New Zealand
| | - Brendan Flack
- Kāti Huirapa Rūnaka ki Puketeraki Karitane New Zealand
| | | | - Roger Moraga
- Tea Break Bioinformatics Ltd Palmerston North New Zealand
| | | | - Makarini Rupene
- University of Canterbury Ngāi Tahu Research Centre Christchurch New Zealand
- Environment Canterbury Christchurch New Zealand
| | | | - Priscilla M Wehi
- University of Otago, Centre for Sustainability Dunedin New Zealand
| | - Matthew J Wylie
- Kāti Huirapa Rūnaka ki Puketeraki Karitane New Zealand
- The New Zealand Institute for Plant and Food Research Limited Nelson New Zealand
| | - Tammy E Steeves
- University of Canterbury School of Biological Sciences Christchurch New Zealand
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13
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Pratt EAL, Beheregaray LB, Bilgmann K, Zanardo N, Diaz-Aguirre F, Brauer C, Sandoval-Castillo J, Möller LM. Seascape genomics of coastal bottlenose dolphins along strong gradients of temperature and salinity. Mol Ecol 2022; 31:2223-2241. [PMID: 35146819 DOI: 10.1111/mec.16389] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 02/01/2022] [Accepted: 02/03/2022] [Indexed: 11/30/2022]
Abstract
Heterogeneous seascapes and strong environmental gradients in coastal waters are expected to influence adaptive divergence, particularly in species with large population sizes where selection is expected to be highly efficient. However, these influences might also extend to species characterized by strong social structure, natal philopatry and small home ranges. We implemented a seascape genomic study to test this hypothesis in Indo-Pacific bottlenose dolphins (Tursiops aduncus) distributed along the environmentally heterogeneous coast of southern Australia. The datasets included oceanographic and environmental variables thought to be good predictors of local adaptation in dolphins and 8,081 filtered single nucleotide polymorphisms (SNPs) genotyped for individuals sampled from seven different bioregions. From a neutral perspective, population structure and connectivity of the dolphins were generally influenced by habitat type and social structuring. Genotype-environment association analysis identified 241 candidate adaptive loci and revealed that sea surface temperature and salinity gradients influenced adaptive divergence in these animals at both large- (1,000s km) and fine-scales (<100 km). Enrichment analysis and annotation of candidate genes revealed functions related to sodium-activated ion transport, kidney development, adipogenesis and thermogenesis. The findings of spatial adaptive divergence and inferences of putative physiological adaptations challenge previous suggestions that marine megafauna is most likely to be affected by environmental and climatic changes via indirect, trophic effects. Our work contributes to conservation management of coastal bottlenose dolphins subjected to anthropogenic disturbance and to efforts of clarifying how seascape heterogeneity influences adaptive diversity and evolution in small cetaceans.
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Affiliation(s)
- Eleanor A L Pratt
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia.,Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia
| | - Luciano B Beheregaray
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia
| | - Kerstin Bilgmann
- Department of Biological Sciences, Macquarie University, 2109, New South Wales, Australia
| | - Nikki Zanardo
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia.,Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia.,Department of Environment and Water, Adelaide, 5000, South Australia, Australia
| | - Fernando Diaz-Aguirre
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia.,Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia
| | - Chris Brauer
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia
| | - Jonathan Sandoval-Castillo
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia
| | - Luciana M Möller
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia.,Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, 5042, South Australia, Australia
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14
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Shi Y, Bouska KL, McKinney GJ, Dokai W, Bartels A, McPhee MV, Larson WA. Gene flow influences the genomic architecture of local adaptation in six riverine fish species. Mol Ecol 2021; 32:1549-1566. [PMID: 34878685 DOI: 10.1111/mec.16317] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 11/15/2021] [Accepted: 12/01/2021] [Indexed: 11/30/2022]
Abstract
Understanding how gene flow influences adaptive divergence is important for predicting adaptive responses. Theoretical studies suggest that when gene flow is high, clustering of adaptive genes in fewer genomic regions would protect adaptive alleles from recombination and thus be selected for, but few studies have tested it with empirical data. Here, we used restriction site-associated sequencing to generate genomic data for six fish species with contrasting life histories from six reaches of the Upper Mississippi River System, USA. We used four differentiation-based outlier tests and three genotype-environment association analyses to define neutral single nucleotide polymorphisms (SNPs) and outlier SNPs that were putatively under selection. We then examined the distribution of outlier SNPs along the genome and investigated whether these SNPs were found in genomic islands of differentiation and inversions. We found that gene flow varied among species, and outlier SNPs were clustered more tightly in species with higher gene flow. The two species with the highest overall FST (0.0303-0.0720) and therefore lowest gene flow showed little evidence of clusters of outlier SNPs, with outlier SNPs in these species spreading uniformly across the genome. In contrast, nearly all outlier SNPs in the species with the lowest FST (0.0003) were found in a single large putative inversion. Two other species with intermediate gene flow (FST ~ 0.0025-0.0050) also showed clustered genomic architectures, with most islands of differentiation clustered on a few chromosomes. Our results provide important empirical evidence to support the hypothesis that increasingly clustered architecture of local adaptation is associated with high gene flow.
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Affiliation(s)
- Yue Shi
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Juneau, Alaska, USA.,Wisconsin Cooperative Fishery Research Unit, College of Natural Resources, University of Wisconsin-Stevens Point, Stevens Point, Wisconsin, USA
| | - Kristen L Bouska
- U.S. Geological Survey, Upper Midwest Environmental Sciences Center, La Crosse, Wisconsin, USA
| | - Garrett J McKinney
- NRC Research Associateship Program, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
| | - William Dokai
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Juneau, Alaska, USA.,Wisconsin Cooperative Fishery Research Unit, College of Natural Resources, University of Wisconsin-Stevens Point, Stevens Point, Wisconsin, USA
| | - Andrew Bartels
- Long Term Resource Monitoring Program, Wisconsin Department of Natural Resources, La Crosse, Wisconsin, USA
| | - Megan V McPhee
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Juneau, Alaska, USA
| | - Wesley A Larson
- National Oceanographic and Atmospheric Administration, Auke Bay Laboratories, National Marine Fisheries Service, Alaska Fisheries Science Center, Juneau, Alaska, USA.,U.S. Geological Survey, Wisconsin Cooperative Fishery Research Unit, College of Natural Resources, University of Wisconsin-Stevens Point, Stevens Point, Wisconsin, USA
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15
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Faske TM, Agneray AC, Jahner JP, Sheta LM, Leger EA, Parchman TL. Genomic and common garden approaches yield complementary results for quantifying environmental drivers of local adaptation in rubber rabbitbrush, a foundational Great Basin shrub. Evol Appl 2021; 14:2881-2900. [PMID: 34950235 PMCID: PMC8674890 DOI: 10.1111/eva.13323] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 09/17/2021] [Accepted: 11/03/2021] [Indexed: 01/21/2023] Open
Abstract
The spatial structure of genomic and phenotypic variation across populations reflects historical and demographic processes as well as evolution via natural selection. Characterizing such variation can provide an important perspective for understanding the evolutionary consequences of changing climate and for guiding ecological restoration. While evidence for local adaptation has been traditionally evaluated using phenotypic data, modern methods for generating and analyzing landscape genomic data can directly quantify local adaptation by associating allelic variation with environmental variation. Here, we analyze both genomic and phenotypic variation of rubber rabbitbrush (Ericameria nauseosa), a foundational shrub species of western North America. To quantify landscape genomic structure and provide perspective on patterns of local adaptation, we generated reduced representation sequencing data for 17 wild populations (222 individuals; 38,615 loci) spanning a range of environmental conditions. Population genetic analyses illustrated pronounced landscape genomic structure jointly shaped by geography and environment. Genetic-environment association (GEA) analyses using both redundancy analysis (RDA) and a machine-learning approach (Gradient Forest) indicated environmental variables (precipitation seasonality, slope, aspect, elevation, and annual precipitation) influenced spatial genomic structure and were correlated with allele frequency shifts indicative of local adaptation at a consistent set of genomic regions. We compared our GEA-based inference of local adaptation with phenotypic data collected by growing seeds from each population in a greenhouse common garden. Population differentiation in seed weight, emergence, and seedling traits was associated with environmental variables (e.g., precipitation seasonality) that were also implicated in GEA analyses, suggesting complementary conclusions about the drivers of local adaptation across different methods and data sources. Our results provide a baseline understanding of spatial genomic structure for E. nauseosa across the western Great Basin and illustrate the utility of GEA analyses for detecting the environmental causes and genetic signatures of local adaptation in a widely distributed plant species of restoration significance.
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Affiliation(s)
- Trevor M. Faske
- Department of BiologyUniversity of NevadaRenoNevadaUSA
- Ecology, Evolution, and Conservation Biology ProgramUniversity of NevadaRenoNevadaUSA
| | - Alison C. Agneray
- Department of BiologyUniversity of NevadaRenoNevadaUSA
- Ecology, Evolution, and Conservation Biology ProgramUniversity of NevadaRenoNevadaUSA
| | | | - Lana M. Sheta
- Department of BiologyUniversity of NevadaRenoNevadaUSA
| | - Elizabeth A. Leger
- Department of BiologyUniversity of NevadaRenoNevadaUSA
- Ecology, Evolution, and Conservation Biology ProgramUniversity of NevadaRenoNevadaUSA
| | - Thomas L. Parchman
- Department of BiologyUniversity of NevadaRenoNevadaUSA
- Ecology, Evolution, and Conservation Biology ProgramUniversity of NevadaRenoNevadaUSA
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16
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Won H, Jeon HB, Kim DY, Suk HY. Differential patterns of diversity at neutral and adaptive loci in endangered Rhodeus pseudosericeus populations. Sci Rep 2021; 11:15953. [PMID: 34354168 PMCID: PMC8342555 DOI: 10.1038/s41598-021-95385-w] [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: 10/17/2020] [Accepted: 07/20/2021] [Indexed: 02/07/2023] Open
Abstract
Given the fact that threatened species are often composed of isolated small populations, spatial continuity or demography of the populations may be major factors that have shaped the species' genetic diversity. Thus, neutral loci have been the most commonly-used markers in conservation genetics. However, the populations under the influence of different environmental factors may have evolved in response to different selective pressures, which cannot be fully reflected in neutral genetic variation. Rhodeus pseudosericeus, a bitterling species (Acheilognathidae; Cypriniformes) endemic to the Korean Peninsula, are only found in some limited areas of three rivers, Daecheon, Han and Muhan, that flow into the west coast. Here, we genotyped 24 microsatellite loci and two loci (DAB1 and DAB3) of MHC class II peptide-binding β1 domain for 222 individuals collected from seven populations. Our microsatellite analysis revealed distinctive differentiation between the populations of Daecheon and Muhan Rivers and the Han River populations, and populations were structured into two subgroups within the Han River. Apparent positive selection signatures were found in the peptide-binding residues (PBRs) of the MHC loci. The allelic distribution of MHC showed a degree of differentiation between the populations of Daecheon and Muhan Rivers and the Han River populations, partially similar to the results obtained for microsatellites, however showed rather complex patterns among populations in the Han River. Considering the apparent differences in the distribution of supertypes obtained based on the physicochemical differences induced by the polymorphisms of these PBRs, the differentiation in DAB1 between the two regional groups may result in the differences in immune function. No differentiation between these two regions was observed in the supertyping of DAB3, probably indicating that only DAB1 was associated with the response to locally specialized antigenic peptides.
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Affiliation(s)
- Hari Won
- grid.413028.c0000 0001 0674 4447Department of Life Sciences, Yeungnam University, Gyeongsan, Gyeongsangbuk-do South Korea ,grid.410319.e0000 0004 1936 8630Department of Biology, Concordia University, 7141 Sherbrooke W., Montreal, QC H4B 1R6 Canada
| | - Hyung-Bae Jeon
- grid.410319.e0000 0004 1936 8630Department of Biology, Concordia University, 7141 Sherbrooke W., Montreal, QC H4B 1R6 Canada
| | - Dong-Young Kim
- grid.413028.c0000 0001 0674 4447Department of Life Sciences, Yeungnam University, Gyeongsan, Gyeongsangbuk-do South Korea
| | - Ho Young Suk
- grid.413028.c0000 0001 0674 4447Department of Life Sciences, Yeungnam University, Gyeongsan, Gyeongsangbuk-do South Korea
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17
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Mamo LT, Wood G, Wheeler D, Kelaher BP, Coleman MA. Conservation genomics of a critically endangered brown seaweed. JOURNAL OF PHYCOLOGY 2021; 57:1345-1355. [PMID: 33908033 DOI: 10.1111/jpy.13177] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 02/27/2021] [Accepted: 04/09/2021] [Indexed: 06/12/2023]
Abstract
Seaweeds provide valuable ecosystem services, but many are undergoing global decline due to climate and anthropogenic stressors. The brown macroalga, Nereia lophocladia (hereafter called Nereia), is among only a handful of seaweeds globally to be listed as critically endangered and is only described from two known locations, but there exists little knowledge about this species. Here, we combine field surveys to verify the distribution of Nereia, with cutting-edge genomics to determine genetic diversity and population structure, and inform ongoing conservation actions. We expand Nereia's known distribution from one to seven locations along a 70-km long coastal stretch in New South Wales but reveal small population sizes at some sites (as few as 8 individuals despite extensive searching). A total of 1,261 genome-wide SNPs were retained from 70 individuals after filtering, and 304 outlier loci under putative selection were detected by one of three methods. Populations showed low genetic diversity (mean expected heterozygosity HE = 0.055 ± 0.014) and high levels of inbreeding within populations (mean FIS = 0.721 ± 0.085), along with high genetic differentiation among sites (mean FST = 0.276), which may increase susceptibility to future environmental change and decrease the species' ability to recover after loss. Given these findings, we recommend the consideration of both in situ and ex situ conservation measures for Nereia, as well as further research into the species' ecology and biology. Nereia remains of conservation concern and its listing as critically endangered is justified until further investigation elucidates the full distribution and adaptive capacity of the species.
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Affiliation(s)
- Lea T Mamo
- National Marine Science Centre, Southern Cross University, Coffs Harbour, New South Wales, 2450, Australia
| | - Georgina Wood
- School of Life and Environmental Sciences, Coastal and Marine Ecosystems, University of Sydney, Sydney, New South Wales, 2006, Australia
| | - David Wheeler
- NSW Department of Primary Industries, Orange, New South Wales, 2800, Australia
| | - Brendan P Kelaher
- National Marine Science Centre, Southern Cross University, Coffs Harbour, New South Wales, 2450, Australia
| | - Melinda A Coleman
- National Marine Science Centre, Southern Cross University, Coffs Harbour, New South Wales, 2450, Australia
- Department of Primary Industries, NSW Fisheries, Coffs Harbour, New South Wales, 2450, Australia
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18
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Buckley SJ, Brauer C, Unmack PJ, Hammer MP, Beheregaray LB. The roles of aridification and sea level changes in the diversification and persistence of freshwater fish lineages. Mol Ecol 2021; 30:4866-4883. [PMID: 34265125 DOI: 10.1111/mec.16082] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 07/05/2021] [Accepted: 07/06/2021] [Indexed: 11/29/2022]
Abstract
While the influence of Pleistocene climatic changes on divergence and speciation has been well-documented across the globe, complex spatial interactions between hydrology and eustatics over longer timeframes may also determine species evolutionary trajectories. Within the Australian continent, glacial cycles were not associated with changes in ice cover and instead largely resulted in fluctuations from moist to arid conditions across the landscape. We investigated the role of hydrological and coastal topographic changes brought about by Plio-Pleistocene climatic changes on the biogeographic history of a small Australian freshwater fish, the southern pygmy perch Nannoperca australis. Using 7958 ddRAD-seq (double digest restriction-site associated DNA) loci and 45,104 filtered SNPs, we combined phylogenetic, coalescent and species distribution analyses to assess the various roles of aridification, sea level and tectonics and associated biogeographic changes across southeast Australia. Sea-level changes since the Pliocene and reduction or disappearance of large waterbodies throughout the Pleistocene were determining factors in strong divergence across the clade, including the initial formation and maintenance of a cryptic species, N. 'flindersi'. Isolated climatic refugia and fragmentation due to lack of connected waterways maintained the identity and divergence of inter- and intraspecific lineages. Our historical findings suggest that predicted increases in aridification and sea level due to anthropogenic climate change might result in markedly different demographic impacts, both spatially and across different landscape types.
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Affiliation(s)
- Sean James Buckley
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, Australia
| | - Chris Brauer
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, Australia
| | - Peter J Unmack
- Centre for Applied Water Science, Institute for Applied Ecology, University of Canberra, ACT, Australia
| | - Michael P Hammer
- Natural Sciences, Museum and Art Gallery of the Northern Territory, Darwin, NT, Australia
| | - Luciano B Beheregaray
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, Australia
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19
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Batley KC, Sandoval-Castillo J, Kemper CM, Zanardo N, Tomo I, Beheregaray LB, Möller LM. Whole genomes reveal multiple candidate genes and pathways involved in the immune response of dolphins to a highly infectious virus. Mol Ecol 2021; 30:6434-6448. [PMID: 33675577 DOI: 10.1111/mec.15873] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 02/11/2021] [Accepted: 02/22/2021] [Indexed: 01/02/2023]
Abstract
Wildlife species are challenged by various infectious diseases that act as important demographic drivers of populations and have become a great conservation concern particularly under growing environmental changes. The new era of whole genome sequencing provides new opportunities and avenues to explore the role of genetic variants in the plasticity of immune responses, particularly in non-model systems. Cetacean morbillivirus (CeMV) has emerged as a major viral threat to cetacean populations worldwide, contributing to the death of thousands of individuals of multiple dolphin and whale species. To understand the genomic basis of immune responses to CeMV, we generated and analysed whole genomes of 53 Indo-Pacific bottlenose dolphins (Tursiops aduncus) exposed to Australia's largest known CeMV-related mortality event that killed at least 50 dolphins from three different species. The genomic data set consisted of 10,168,981 SNPs anchored onto 23 chromosome-length scaffolds and 77 short scaffolds. Whole genome analysis indicated that levels of inbreeding in the dolphin population did not influence the outcome of an individual. Allele frequency estimates between survivors and nonsurvivors of the outbreak revealed 15,769 candidate SNPs, of which 689 were annotated to 295 protein coding genes. These included 50 genes with functions related to innate and adaptive immune responses, and cytokine signalling pathways and genes thought to be involved in immune responses to other morbilliviruses. Our study characterised genomic regions and pathways that may contribute to CeMV immune responses in dolphins. This represents a stride towards clarifying the complex interactions of the cetacean immune system and emphasises the value of whole genome data sets in understanding genetic elements that are essential for species conservation, including disease susceptibility and adaptation.
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Affiliation(s)
- Kimberley C Batley
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia.,Cetacean Ecology, Behaviour, and Evolution Laboratory, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia
| | - Jonathan Sandoval-Castillo
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia
| | | | - Nikki Zanardo
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia.,Cetacean Ecology, Behaviour, and Evolution Laboratory, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia
| | - Ikuko Tomo
- South Australian Museum, Adelaide, South Australia, Australia
| | - Luciano B Beheregaray
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia
| | - Luciana M Möller
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia.,Cetacean Ecology, Behaviour, and Evolution Laboratory, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia
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20
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Rougemont Q, Dolo V, Oger A, Besnard AL, Huteau D, Coutellec MA, Perrier C, Launey S, Evanno G. Riverscape genetics in brook lamprey: genetic diversity is less influenced by river fragmentation than by gene flow with the anadromous ecotype. Heredity (Edinb) 2021; 126:235-250. [PMID: 32989279 PMCID: PMC8027852 DOI: 10.1038/s41437-020-00367-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 08/28/2020] [Accepted: 09/01/2020] [Indexed: 01/05/2023] Open
Abstract
Understanding the effect of human-induced landscape fragmentation on gene flow and evolutionary potential of wild populations has become a major concern. Here, we investigated the effect of riverscape fragmentation on patterns of genetic diversity in the freshwater resident European brook lamprey (Lampetra planeri) that has a low ability to pass obstacles to migration. We tested the hypotheses of (i) asymmetric gene flow following water current and (ii) an effect of gene flow with the closely related anadromous river lamprey (L. fluviatilis) ecotype on L. planeri genetic diversity. We genotyped 2472 individuals, including 225 L. fluviatilis, sampled from 81 sites upstream and downstream barriers to migration, in 29 western European rivers. Linear modelling revealed a strong positive relationship between genetic diversity and the distance from the river source, consistent with expected patterns of decreased gene flow into upstream populations. However, the presence of anthropogenic barriers had a moderate effect on spatial genetic structure. Accordingly, we found evidence for downstream-directed gene flow, supporting the hypothesis that barriers do not limit dispersal mediated by water flow. Downstream L. planeri populations in sympatry with L. fluviatilis displayed consistently higher genetic diversity. We conclude that genetic drift and slight downstream gene flow drive the genetic make-up of upstream L. planeri populations whereas gene flow between ecotypes maintains higher levels of genetic diversity in L. planeri populations sympatric with L. fluviatilis. We discuss the implications of these results for the design of conservation strategies of lamprey, and other freshwater organisms with several ecotypes, in fragmented dendritic river networks.
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Affiliation(s)
- Quentin Rougemont
- ESE, Ecology and Ecosystem Health, INRAE, Agrocampus Ouest, 35042, Rennes, France.
- Département de biologie, Institut de Biologie Intégrative etsu des Systèmes (IBIS), Université Laval, Québec, G1V 0A6, Canada.
| | - Victoria Dolo
- ESE, Ecology and Ecosystem Health, INRAE, Agrocampus Ouest, 35042, Rennes, France
| | - Adrien Oger
- ESE, Ecology and Ecosystem Health, INRAE, Agrocampus Ouest, 35042, Rennes, France
| | - Anne-Laure Besnard
- ESE, Ecology and Ecosystem Health, INRAE, Agrocampus Ouest, 35042, Rennes, France
| | - Dominique Huteau
- ESE, Ecology and Ecosystem Health, INRAE, Agrocampus Ouest, 35042, Rennes, France
| | | | - Charles Perrier
- Centre de Biologie pour la Gestion des Populations UMR CBGP, INRA, CIRAD, IRD, Montpellier SupAgro, Univ Montpellier, Montpellier, France
| | - Sophie Launey
- ESE, Ecology and Ecosystem Health, INRAE, Agrocampus Ouest, 35042, Rennes, France
| | - Guillaume Evanno
- ESE, Ecology and Ecosystem Health, INRAE, Agrocampus Ouest, 35042, Rennes, France
- OFB, INRAE, Agrocampus Ouest, University Pau Pays Adour, Management of Diadromous Fish in their Environment, Rennes, France
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21
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Zimmerman SJ, Aldridge CL, Langin KM, Wann GT, Scott Cornman R, Oyler-McCance SJ. Environmental gradients of selection for an alpine-obligate bird, the white-tailed ptarmigan (Lagopus leucura). Heredity (Edinb) 2021; 126:117-131. [PMID: 32807852 PMCID: PMC7852610 DOI: 10.1038/s41437-020-0352-6] [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: 04/28/2020] [Revised: 07/27/2020] [Accepted: 07/28/2020] [Indexed: 11/08/2022] Open
Abstract
The warming climate will expose alpine species adapted to a highly seasonal, harsh environment to novel environmental conditions. A species can shift their distribution, acclimate, or adapt in response to a new climate. Alpine species have little suitable habitat to shift their distribution, and the limits of acclimation will likely be tested by climate change in the long-term. Adaptive genetic variation may provide the raw material for species to adapt to this changing environment. Here, we use a genomic approach to describe adaptive divergence in an alpine-obligate species, the white-tailed ptarmigan (Lagopus leucura), a species distributed from Alaska to New Mexico, across an environmentally variable geographic range. Previous work has identified genetic structure and morphological, behavioral, and physiological differences across the species' range; however, those studies were unable to determine the degree to which adaptive divergence is correlated with local variation in environmental conditions. We used a genome-wide dataset generated from 95 white-tailed ptarmigan distributed throughout the species' range and genotype-environment association analyses to identify the genetic signature and environmental drivers of local adaptation. We detected associations between multiple environmental gradients and candidate adaptive loci, suggesting ptarmigan populations may be locally adapted to the plant community composition, elevation, local climate, and to the seasonality of the environment. Overall, our results suggest there may be groups within the species' range with genetic variation that could be essential for adapting to a changing climate and helpful in guiding conservation action.
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Affiliation(s)
- Shawna J Zimmerman
- U.S. Geological Survey, Fort Collins Science Center, 2150 Centre Avenue, Bldg. C, Fort Collins, CO, 80526, USA.
| | - Cameron L Aldridge
- U.S. Geological Survey, Fort Collins Science Center, 2150 Centre Avenue, Bldg. C, Fort Collins, CO, 80526, USA
| | - Kathryn M Langin
- U.S. Geological Survey, Fort Collins Science Center, 2150 Centre Avenue, Bldg. C, Fort Collins, CO, 80526, USA
| | - Gregory T Wann
- U.S. Geological Survey, Fort Collins Science Center, 2150 Centre Avenue, Bldg. C, Fort Collins, CO, 80526, USA
| | - R Scott Cornman
- U.S. Geological Survey, Fort Collins Science Center, 2150 Centre Avenue, Bldg. C, Fort Collins, CO, 80526, USA
| | - Sara J Oyler-McCance
- U.S. Geological Survey, Fort Collins Science Center, 2150 Centre Avenue, Bldg. C, Fort Collins, CO, 80526, USA
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22
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Brauer CJ, Beheregaray LB. Recent and rapid anthropogenic habitat fragmentation increases extinction risk for freshwater biodiversity. Evol Appl 2020; 13:2857-2869. [PMID: 33294027 PMCID: PMC7691462 DOI: 10.1111/eva.13128] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 08/31/2020] [Accepted: 09/01/2020] [Indexed: 12/16/2022] Open
Abstract
Anthropogenic habitat fragmentation is often implicated as driving the current global extinction crisis, particularly in freshwater ecosystems. The genetic signal of recent population isolation can be confounded by the complex spatial arrangement of dendritic river systems. Consequently, many populations may presently be managed separately based on an incorrect assumption that they have evolved in isolation. Integrating landscape genomics data with models of connectivity that account for landscape structure, we show that the cumulative effects of multiple in-stream barriers have contributed to the recent decline of a freshwater fish from the Murray-Darling Basin, Australia. In addition, individual-based eco-evolutionary simulations further demonstrate that contemporary inferences about population isolation are consistent with the 160-year time frame since construction of in-stream barriers began in the region. Our findings suggest that the impact of very recent fragmentation may be often underestimated for freshwater biodiversity. We argue that proactive conservation measures to reconnect many riverine populations are urgently needed.
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Affiliation(s)
- Chris J. Brauer
- Molecular Ecology Laboratory, College of Science and EngineeringFlinders UniversityAdelaideSAAustralia
| | - Luciano B. Beheregaray
- Molecular Ecology Laboratory, College of Science and EngineeringFlinders UniversityAdelaideSAAustralia
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23
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Smith S, Brauer CJ, Sasaki M, Unmack PJ, Guillot G, Laporte M, Bernatchez L, Beheregaray LB. Latitudinal variation in climate-associated genes imperils range edge populations. Mol Ecol 2020; 29:4337-4349. [PMID: 32930432 DOI: 10.1111/mec.15637] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 08/18/2020] [Accepted: 08/24/2020] [Indexed: 11/28/2022]
Abstract
The ecological impacts of increasing global temperatures are evident in most ecosystems on Earth, but our understanding of how climatic variation influences natural selection and adaptive resilience across latitudes remains largely unknown. Latitudinal gradients allow testing general ecosystem-level theories relevant to climatic adaptation. We assessed differences in adaptive diversity of populations along a latitudinal region spanning highly variable temperate to subtropical climates. We generated and integrated information from environmental mapping, phenotypic variation and genome-wide data from across the geographical range of the rainbowfish Melanotaenia duboulayi, an emerging aquatic system for studies of climate change. We detected, after controlling for spatial population structure, strong interactions between genotypes and environment associated with variation in stream flow and temperature. Some of these hydroclimate-associated genes were found to interact within functional protein networks that contain genes of adaptive significance for projected future climates in rainbowfish. Hydroclimatic selection was also associated with variation in phenotypic traits, including traits known to affect fitness of rainbowfish exposed to different flow environments. Consistent with predictions from the "climatic variability hypothesis," populations exposed to extremes of important environmental variables showed stronger adaptive divergence and less variation in climate-associated genes compared to populations at the centre of the environmental gradient. Our findings suggest that populations that evolved at environmental range margins and at geographical range edges may be more vulnerable to changing climates, a finding with implications for predicting adaptive resilience and managing biodiversity under climate change.
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Affiliation(s)
- Steve Smith
- Molecular Ecology Lab, Flinders University, Bedford Park, SA, Australia.,Konrad Lorenz Institute of Ethology, University of Veterinary Medicine, Vienna, Austria
| | - Chris J Brauer
- Molecular Ecology Lab, Flinders University, Bedford Park, SA, Australia
| | - Minami Sasaki
- Molecular Ecology Lab, Flinders University, Bedford Park, SA, Australia
| | - Peter J Unmack
- Centre for Applied Water Science, University of Canberra, Bruce, ACT, Australia
| | - Gilles Guillot
- International Prevention Research Institute, Dardilly, France
| | - Martin Laporte
- Institut de Biologie Intégrative et des Systèmes, Université Laval Québec, Quebec City, QC, Canada
| | - Louis Bernatchez
- Institut de Biologie Intégrative et des Systèmes, Université Laval Québec, Quebec City, QC, Canada
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24
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Genotyping-by-sequencing reveals the effects of riverscape, climate and interspecific introgression on the genetic diversity and local adaptation of the endangered Mexican golden trout (Oncorhynchus chrysogaster). CONSERV GENET 2020. [DOI: 10.1007/s10592-020-01297-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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25
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González‐Serna MJ, Cordero PJ, Ortego J. Insights into the neutral and adaptive processes shaping the spatial distribution of genomic variation in the economically important Moroccan locust ( Dociostaurus maroccanus). Ecol Evol 2020; 10:3991-4008. [PMID: 32489626 PMCID: PMC7244894 DOI: 10.1002/ece3.6165] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 02/12/2020] [Accepted: 02/18/2020] [Indexed: 11/11/2022] Open
Abstract
Understanding the processes that shape neutral and adaptive genomic variation is a fundamental step to determine the demographic and evolutionary dynamics of pest species. Here, we use genomic data obtained via restriction site-associated DNA sequencing to investigate the genetic structure of Moroccan locust (Dociostaurus maroccanus) populations from the westernmost portion of the species distribution (Iberian Peninsula and Canary Islands), infer demographic trends, and determine the role of neutral versus selective processes in shaping spatial patterns of genomic variation in this pest species of great economic importance. Our analyses showed that Iberian populations are characterized by high gene flow, whereas the highly isolated Canarian populations have experienced strong genetic drift and loss of genetic diversity. Historical demographic reconstructions revealed that all populations have passed through a substantial genetic bottleneck around the last glacial maximum (~21 ka BP) followed by a sharp demographic expansion at the onset of the Holocene, indicating increased effective population sizes during warm periods as expected from the thermophilic nature of the species. Genome scans and environmental association analyses identified several loci putatively under selection, suggesting that local adaptation processes in certain populations might not be impeded by widespread gene flow. Finally, all analyses showed few differences between outbreak and nonoutbreak populations. Integrated pest management practices should consider high population connectivity and the potential importance of local adaptation processes on population persistence.
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Affiliation(s)
- María José González‐Serna
- Grupo de Investigación de la Biodiversidad Genética y CulturalInstituto de Investigación en Recursos Cinegéticos – IREC – (CSIC, UCLM, JCCM)Ciudad RealSpain
| | - Pedro J. Cordero
- Grupo de Investigación de la Biodiversidad Genética y CulturalInstituto de Investigación en Recursos Cinegéticos – IREC – (CSIC, UCLM, JCCM)Ciudad RealSpain
- Departamento de Ciencia y Tecnología Agroforestal y GenéticaEscuela Técnica Superior de Ingenieros Agrónomos (ETSIA)Universidad de Castilla‐La Mancha (UCLM)Ciudad RealSpain
| | - Joaquín Ortego
- Department of Integrative EcologyEstación Biológica de Doñana – EBD – (CSIC)SevilleSpain
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26
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Zimmerman SJ, Aldridge CL, Oh KP, Cornman RS, Oyler‐McCance SJ. Signatures of adaptive divergence among populations of an avian species of conservation concern. Evol Appl 2019; 12:1661-1677. [PMID: 31462921 PMCID: PMC6708427 DOI: 10.1111/eva.12825] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Revised: 05/23/2019] [Accepted: 05/24/2019] [Indexed: 12/16/2022] Open
Abstract
Understanding the genetic underpinning of adaptive divergence among populations is a key goal of evolutionary biology and conservation. Gunnison sage-grouse (Centrocercus minimus) is a sagebrush obligate species with a constricted range consisting of seven discrete populations, each with distinctly different habitat and climatic conditions. Though geographically close, populations have low levels of natural gene flow resulting in relatively high levels of differentiation. Here, we use 15,033 SNP loci in genomic outlier analyses, genotype-environment association analyses, and gene ontology enrichment tests to examine patterns of putatively adaptive genetic differentiation in an avian species of conservation concern. We found 411 loci within 5 kbp of 289 putative genes associated with biological functions or pathways that were overrepresented in the assemblage of outlier SNPs. The identified gene set was enriched for cytochrome P450 gene family members (CYP4V2, CYP2R1, CYP2C23B, CYP4B1) and could impact metabolism of plant secondary metabolites, a critical challenge for sagebrush obligates. Additionally, the gene set was also enriched with members potentially involved in antiviral response (DEAD box helicase gene family and SETX). Our results provide a first look at local adaption for isolated populations of a single species and suggest adaptive divergence in multiple metabolic and biochemical pathways may be occurring. This information can be useful in managing this species of conservation concern, for example, to identify unique populations to conserve, avoid translocation or release of individuals that may swamp locally adapted genetic diversity, or guide habitat restoration efforts.
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Affiliation(s)
- Shawna J. Zimmerman
- Department of Ecosystem Science and Sustainability and Natural Resource Ecology Laboratory, Colorado State University in Cooperation with U.S. Geological SurveyFort Collins Science CenterFort CollinsColorado
| | - Cameron L. Aldridge
- Department of Ecosystem Science and Sustainability and Natural Resource Ecology Laboratory, Colorado State University in Cooperation with U.S. Geological SurveyFort Collins Science CenterFort CollinsColorado
| | - Kevin P. Oh
- U.S. Geological SurveyFort Collins Science CenterFort CollinsColorado
| | - Robert S. Cornman
- U.S. Geological SurveyFort Collins Science CenterFort CollinsColorado
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27
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Li YL, Xue DX, Zhang BD, Liu JX. Population Genomic Signatures of Genetic Structure and Environmental Selection in the Catadromous Roughskin Sculpin Trachidermus fasciatus. Genome Biol Evol 2019; 11:1751-1764. [PMID: 31173074 PMCID: PMC6601870 DOI: 10.1093/gbe/evz118] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/31/2019] [Indexed: 12/24/2022] Open
Abstract
Understanding the patterns of genetic diversity and adaptation across species' range is crucial to assess its long-term persistence and determine appropriate conservation measures. The impacts of human activities on the genetic diversity and genetic adaptation to heterogeneous environments remain poorly understood in the marine realm. The roughskin sculpin (Trachidermus fasciatus) is a small catadromous fish, and has been listed as a second-class state protected aquatic animal since 1988 in China. To elucidate the underlying mechanism of population genetic structuring and genetic adaptations to local environments, RAD tags were sequenced for 202 individuals in nine populations across the range of T. fasciatus in China. The pairwise FST values over 9,271 filtered SNPs were significant except that between Dongying and Weifang. All the genetic clustering analysis revealed significant population structure with high support for eight distinct genetic clusters. Both the minor allele frequency spectra and Ne estimations suggested extremely small Ne in some populations (e.g., Qinhuangdao, Rongcheng, Wendeng, and Qingdao), which might result from recent population bottleneck. The strong genetic structure can be partly attributed to genetic drift and habitat fragmentation, likely due to the anthropogenic activities. Annotations of candidate adaptive loci suggested that genes involved in metabolism, development, and osmoregulation were critical for adaptation to spatially heterogenous environment of local populations. In the context of anthropogenic activities and environmental change, results of the present population genomic work provided important contributions to the understanding of genetic differentiation and adaptation to changing environments.
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Affiliation(s)
- Yu-Long Li
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Dong-Xiu Xue
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Bai-Dong Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Jin-Xian Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
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28
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Grummer JA, Beheregaray LB, Bernatchez L, Hand BK, Luikart G, Narum SR, Taylor EB. Aquatic Landscape Genomics and Environmental Effects on Genetic Variation. Trends Ecol Evol 2019; 34:641-654. [DOI: 10.1016/j.tree.2019.02.013] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 02/15/2019] [Accepted: 02/22/2019] [Indexed: 01/17/2023]
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29
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Gallego‐García N, Forero‐Medina G, Vargas‐Ramírez M, Caballero S, Shaffer HB. Landscape genomic signatures indicate reduced gene flow and forest‐associated adaptive divergence in an endangered neotropical turtle. Mol Ecol 2019; 28:2757-2771. [DOI: 10.1111/mec.15112] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 03/20/2019] [Accepted: 04/15/2019] [Indexed: 11/30/2022]
Affiliation(s)
- Natalia Gallego‐García
- Laboratorio de Ecología Molecular de Vertebrados Acuáticos LEMVA, Departamento de Ciencias Biológicas Universidad de los Andes Bogotá Colombia
- Department of Ecology and Evolutionary Biology, California Conservation Science, Institute of the Environment and Sustainability University of California Los Angeles California USA
- Wildlife Conservation Society Turtle Survival Alliance Cali Colombia
| | | | - Mario Vargas‐Ramírez
- Biodiversidad y Conservación Genética, Instituto de Genética Universidad Nacional de Colombia Bogotá Colombia
| | - Susana Caballero
- Laboratorio de Ecología Molecular de Vertebrados Acuáticos LEMVA, Departamento de Ciencias Biológicas Universidad de los Andes Bogotá Colombia
| | - Howard Bradley Shaffer
- Department of Ecology and Evolutionary Biology, California Conservation Science, Institute of the Environment and Sustainability University of California Los Angeles California USA
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30
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Bae HG, Nightingale C, Jeoung DH, Cha S, Jeon HB, Lim H, Suk HY. Genetic diversity and population structure of Kichulchoia multifasciata in South Korea. CONSERV GENET 2019. [DOI: 10.1007/s10592-019-01147-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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31
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Batley KC, Sandoval‐Castillo J, Kemper CM, Attard CRM, Zanardo N, Tomo I, Beheregaray LB, Möller LM. Genome-wide association study of an unusual dolphin mortality event reveals candidate genes for susceptibility and resistance to cetacean morbillivirus. Evol Appl 2019; 12:718-732. [PMID: 30976305 PMCID: PMC6439501 DOI: 10.1111/eva.12747] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2018] [Revised: 11/25/2018] [Accepted: 11/27/2018] [Indexed: 12/28/2022] Open
Abstract
Infectious diseases are significant demographic and evolutionary drivers of populations, but studies about the genetic basis of disease resistance and susceptibility are scarce in wildlife populations. Cetacean morbillivirus (CeMV) is a highly contagious disease that is increasing in both geographic distribution and incidence, causing unusual mortality events (UME) and killing tens of thousands of individuals across multiple cetacean species worldwide since the late 1980s. The largest CeMV outbreak in the Southern Hemisphere reported to date occurred in Australia in 2013, where it was a major factor in a UME, killing mainly young Indo-Pacific bottlenose dolphins (Tursiops aduncus). Using cases (nonsurvivors) and controls (putative survivors) from the most affected population, we carried out a genome-wide association study to identify candidate genes for resistance and susceptibility to CeMV. The genomic data set consisted of 278,147,988 sequence reads and 35,493 high-quality SNPs genotyped across 38 individuals. Association analyses found highly significant differences in allele and genotype frequencies among cases and controls at 65 SNPs, and Random Forests conservatively identified eight as candidates. Annotation of these SNPs identified five candidate genes (MAPK8, FBXW11, INADL, ANK3 and ACOX3) with functions associated with stress, pain and immune responses. Our findings provide the first insights into the genetic basis of host defence to this highly contagious disease, enabling the development of an applied evolutionary framework to monitor CeMV resistance across cetacean species. Biomarkers could now be established to assess potential risk factors associated with these genes in other CeMV-affected cetacean populations and species. These results could also possibly aid in the advancement of vaccines against morbilliviruses.
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Affiliation(s)
- Kimberley C. Batley
- Molecular Ecology Laboratory, College of Science and EngineeringFlinders UniversityAdelaideSouth AustraliaAustralia
- Cetacean Ecology, Behaviour, and Evolution Laboratory, College of Science and EngineeringFlinders UniversityAdelaideSouth AustraliaAustralia
| | - Jonathan Sandoval‐Castillo
- Molecular Ecology Laboratory, College of Science and EngineeringFlinders UniversityAdelaideSouth AustraliaAustralia
| | | | - Catherine R. M. Attard
- Molecular Ecology Laboratory, College of Science and EngineeringFlinders UniversityAdelaideSouth AustraliaAustralia
- Cetacean Ecology, Behaviour, and Evolution Laboratory, College of Science and EngineeringFlinders UniversityAdelaideSouth AustraliaAustralia
| | - Nikki Zanardo
- Molecular Ecology Laboratory, College of Science and EngineeringFlinders UniversityAdelaideSouth AustraliaAustralia
- Cetacean Ecology, Behaviour, and Evolution Laboratory, College of Science and EngineeringFlinders UniversityAdelaideSouth AustraliaAustralia
| | - Ikuko Tomo
- South Australian MuseumAdelaideSouth AustraliaAustralia
| | - Luciano B. Beheregaray
- Molecular Ecology Laboratory, College of Science and EngineeringFlinders UniversityAdelaideSouth AustraliaAustralia
| | - Luciana M. Möller
- Molecular Ecology Laboratory, College of Science and EngineeringFlinders UniversityAdelaideSouth AustraliaAustralia
- Cetacean Ecology, Behaviour, and Evolution Laboratory, College of Science and EngineeringFlinders UniversityAdelaideSouth AustraliaAustralia
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32
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Hendricks S, Anderson EC, Antao T, Bernatchez L, Forester BR, Garner B, Hand BK, Hohenlohe PA, Kardos M, Koop B, Sethuraman A, Waples RS, Luikart G. Recent advances in conservation and population genomics data analysis. Evol Appl 2018. [PMCID: PMC6099823 DOI: 10.1111/eva.12659] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
New computational methods and next‐generation sequencing (NGS) approaches have enabled the use of thousands or hundreds of thousands of genetic markers to address previously intractable questions. The methods and massive marker sets present both new data analysis challenges and opportunities to visualize, understand, and apply population and conservation genomic data in novel ways. The large scale and complexity of NGS data also increases the expertise and effort required to thoroughly and thoughtfully analyze and interpret data. To aid in this endeavor, a recent workshop entitled “Population Genomic Data Analysis,” also known as “ConGen 2017,” was held at the University of Montana. The ConGen workshop brought 15 instructors together with knowledge in a wide range of topics including NGS data filtering, genome assembly, genomic monitoring of effective population size, migration modeling, detecting adaptive genomic variation, genomewide association analysis, inbreeding depression, and landscape genomics. Here, we summarize the major themes of the workshop and the important take‐home points that were offered to students throughout. We emphasize increasing participation by women in population and conservation genomics as a vital step for the advancement of science. Some important themes that emerged during the workshop included the need for data visualization and its importance in finding problematic data, the effects of data filtering choices on downstream population genomic analyses, the increasing availability of whole‐genome sequencing, and the new challenges it presents. Our goal here is to help motivate and educate a worldwide audience to improve population genomic data analysis and interpretation, and thereby advance the contribution of genomics to molecular ecology, evolutionary biology, and especially to the conservation of biodiversity.
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Affiliation(s)
- Sarah Hendricks
- Institute for Bioinformatics and Evolutionary Studies University of Idaho Moscow Idaho
| | - Eric C. Anderson
- Fisheries Ecology Division Southwest Fisheries Science Center National Marine Fisheries Service National Oceanic and Atmospheric Administration Santa Cruz California
- University of California Santa Cruz California
| | - Tiago Antao
- Division of Biological Sciences University of Montana Missoula Montana
| | - Louis Bernatchez
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
| | | | - Brittany Garner
- Flathead Lake Biological Station Montana Conservation Genomics Laboratory Division of Biological Science University of Montana Missoula Montana
- Wildlife Program Fish and Wildlife Genomics Group College of Forestry and Conservation University of Montana Missoula Montana
| | - Brian K. Hand
- Flathead Lake Biological Station Montana Conservation Genomics Laboratory Division of Biological Science University of Montana Missoula Montana
| | - Paul A. Hohenlohe
- Institute for Bioinformatics and Evolutionary Studies University of Idaho Moscow Idaho
| | - Martin Kardos
- Flathead Lake Biological Station Montana Conservation Genomics Laboratory Division of Biological Science University of Montana Missoula Montana
| | - Ben Koop
- Department of Biology Centre for Biomedical Research University of Victoria Victoria British Columbia Canada
| | - Arun Sethuraman
- Department of Biological Sciences California State University San Marcos San Marcos California
| | - Robin S. Waples
- NOAA Fisheries Northwest Fisheries Science Center Seattle Washington
| | - Gordon Luikart
- Flathead Lake Biological Station Montana Conservation Genomics Laboratory Division of Biological Science University of Montana Missoula Montana
- Wildlife Program Fish and Wildlife Genomics Group College of Forestry and Conservation University of Montana Missoula Montana
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33
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Brauer CJ, Unmack PJ, Smith S, Bernatchez L, Beheregaray LB. On the roles of landscape heterogeneity and environmental variation in determining population genomic structure in a dendritic system. Mol Ecol 2018; 27:3484-3497. [DOI: 10.1111/mec.14808] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2018] [Revised: 06/29/2018] [Accepted: 07/03/2018] [Indexed: 12/25/2022]
Affiliation(s)
- Chris J. Brauer
- Molecular Ecology Laboratory College of Science and Engineering Flinders University Adelaide South Australia Australia
| | - Peter J. Unmack
- Institute for Applied Ecology University of Canberra Canberra Australian Capital Territory Australia
| | - Steve Smith
- Molecular Ecology Laboratory College of Science and Engineering Flinders University Adelaide South Australia Australia
- Department of Integrative Biology and Evolution University of Veterinary Medicine Vienna Austria
| | - Louis Bernatchez
- Institut de Biologie Intégrative et des Systèmes Université Laval Québec Québec Quebec Canada
| | - Luciano B. Beheregaray
- Molecular Ecology Laboratory College of Science and Engineering Flinders University Adelaide South Australia Australia
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34
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Gaughran SJ, Quinzin MC, Miller JM, Garrick RC, Edwards DL, Russello MA, Poulakakis N, Ciofi C, Beheregaray LB, Caccone A. Theory, practice, and conservation in the age of genomics: The Galápagos giant tortoise as a case study. Evol Appl 2018; 11:1084-1093. [PMID: 30026799 PMCID: PMC6050186 DOI: 10.1111/eva.12551] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 08/31/2017] [Indexed: 12/25/2022] Open
Abstract
High-throughput DNA sequencing allows efficient discovery of thousands of single nucleotide polymorphisms (SNPs) in nonmodel species. Population genetic theory predicts that this large number of independent markers should provide detailed insights into population structure, even when only a few individuals are sampled. Still, sampling design can have a strong impact on such inferences. Here, we use simulations and empirical SNP data to investigate the impacts of sampling design on estimating genetic differentiation among populations that represent three species of Galápagos giant tortoises (Chelonoidis spp.). Though microsatellite and mitochondrial DNA analyses have supported the distinctiveness of these species, a recent study called into question how well these markers matched with data from genomic SNPs, thereby questioning decades of studies in nonmodel organisms. Using >20,000 genomewide SNPs from 30 individuals from three Galápagos giant tortoise species, we find distinct structure that matches the relationships described by the traditional genetic markers. Furthermore, we confirm that accurate estimates of genetic differentiation in highly structured natural populations can be obtained using thousands of SNPs and 2-5 individuals, or hundreds of SNPs and 10 individuals, but only if the units of analysis are delineated in a way that is consistent with evolutionary history. We show that the lack of structure in the recent SNP-based study was likely due to unnatural grouping of individuals and erroneous genotype filtering. Our study demonstrates that genomic data enable patterns of genetic differentiation among populations to be elucidated even with few samples per population, and underscores the importance of sampling design. These results have specific implications for studies of population structure in endangered species and subsequent management decisions.
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Affiliation(s)
| | - Maud C. Quinzin
- Department of Ecology and Evolutionary BiologyYale UniversityNew HavenCTUSA
| | - Joshua M. Miller
- Department of Ecology and Evolutionary BiologyYale UniversityNew HavenCTUSA
| | | | | | - Michael A. Russello
- Department of BiologyUniversity of British Columbia, Okanagan CampusKelownaBCCanada
| | - Nikos Poulakakis
- Department of BiologySchool of Sciences and EngineeringUniversity of CreteHeraklion, CreteGreece
- Natural History Museum of CreteSchool of Sciences and EngineeringUniversity of CreteHeraklion, CreteGreece
| | - Claudio Ciofi
- Department of BiologyUniversity of FlorenceSesto Fiorentino (FI)Italy
| | - Luciano B. Beheregaray
- Molecular Ecology LabSchool of Biological SciencesFlinders UniversityAdelaideSAAustralia
| | - Adalgisa Caccone
- Department of Ecology and Evolutionary BiologyYale UniversityNew HavenCTUSA
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35
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Flanagan SP, Forester BR, Latch EK, Aitken SN, Hoban S. Guidelines for planning genomic assessment and monitoring of locally adaptive variation to inform species conservation. Evol Appl 2018; 11:1035-1052. [PMID: 30026796 PMCID: PMC6050180 DOI: 10.1111/eva.12569] [Citation(s) in RCA: 112] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Accepted: 10/20/2017] [Indexed: 12/14/2022] Open
Abstract
Identifying and monitoring locally adaptive genetic variation can have direct utility for conserving species at risk, especially when management may include actions such as translocations for restoration, genetic rescue, or assisted gene flow. However, genomic studies of local adaptation require careful planning to be successful, and in some cases may not be a worthwhile use of resources. Here, we offer an adaptive management framework to help conservation biologists and managers decide when genomics is likely to be effective in detecting local adaptation, and how to plan assessment and monitoring of adaptive variation to address conservation objectives. Studies of adaptive variation using genomic tools will inform conservation actions in many cases, including applications such as assisted gene flow and identifying conservation units. In others, assessing genetic diversity, inbreeding, and demographics using selectively neutral genetic markers may be most useful. And in some cases, local adaptation may be assessed more efficiently using alternative approaches such as common garden experiments. Here, we identify key considerations of genomics studies of locally adaptive variation, provide a road map for successful collaborations with genomics experts including key issues for study design and data analysis, and offer guidelines for interpreting and using results from genomic assessments to inform monitoring programs and conservation actions.
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Affiliation(s)
- Sarah P. Flanagan
- National Institute for Mathematical and Biological SynthesisUniversity of TennesseeKnoxvilleTNUSA
| | - Brenna R. Forester
- Duke University, Nicholas School of the EnvironmentDurhamNCUSA
- Present address:
Department of BiologyColorado State UniversityFort CollinsCOUSA
| | - Emily K. Latch
- Department of Biological SciencesUniversity of Wisconsin‐MilwaukeeMilwaukeeWIUSA
| | - Sally N. Aitken
- Faculty of ForestryUniversity of British ColumbiaVancouverBCCanada
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36
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Buckley SJ, Domingos FMCB, Attard CRM, Brauer CJ, Sandoval-Castillo J, Lodge R, Unmack PJ, Beheregaray LB. Phylogenomic history of enigmatic pygmy perches: implications for biogeography, taxonomy and conservation. ROYAL SOCIETY OPEN SCIENCE 2018; 5:172125. [PMID: 30110415 PMCID: PMC6030323 DOI: 10.1098/rsos.172125] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Accepted: 04/30/2018] [Indexed: 06/08/2023]
Abstract
Pygmy perches (Percichthyidae) are a group of poorly dispersing freshwater fishes that have a puzzling biogeographic disjunction across southern Australia. Current understanding of pygmy perch phylogenetic relationships suggests past east-west migrations across a vast expanse of now arid habitat in central southern Australia, a region lacking contemporary rivers. Pygmy perches also represent a threatened group with confusing taxonomy and potentially cryptic species diversity. Here, we present the first study of the evolutionary history of pygmy perches based on genome-wide information. Data from 13 991 ddRAD loci and a concatenated sequence of 1 075 734 bp were generated for all currently described and potentially cryptic species. Phylogenetic relationships, biogeographic history and cryptic diversification were inferred using a framework that combines phylogenomics, species delimitation and estimation of divergence times. The genome-wide phylogeny clarified the biogeographic history of pygmy perches, demonstrating multiple east-west events of divergence within the group across the Australian continent. These results also resolved discordance between nuclear and mitochondrial data from a previous study. In addition, we propose three cryptic species within a southwestern species complex. The finding of potentially new species demonstrates that pygmy perches may be even more susceptible to ecological and demographic threats than previously thought. Our results have substantial implications for improving conservation legislation of pygmy perch lineages, especially in southwestern Western Australia.
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Affiliation(s)
- Sean J. Buckley
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
| | - Fabricius M. C. B. Domingos
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
- Instituto de Ciências Biológicas e da Saúde, Universidade Federal de Mato Grosso, Pontal do Araguaia, MT 78698-000, Brazil
| | - Catherine R. M. Attard
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
| | - Chris J. Brauer
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
| | - Jonathan Sandoval-Castillo
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
| | - Ryan Lodge
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
| | - Peter J. Unmack
- Institute for Applied Ecology, University of Canberra, Canberra, Australian Capital Territory 2601, Australia
| | - Luciano B. Beheregaray
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
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37
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Teske PR, Golla TR, Sandoval-Castillo J, Emami-Khoyi A, van der Lingen CD, von der Heyden S, Chiazzari B, Jansen van Vuuren B, Beheregaray LB. Mitochondrial DNA is unsuitable to test for isolation by distance. Sci Rep 2018; 8:8448. [PMID: 29855482 PMCID: PMC5981212 DOI: 10.1038/s41598-018-25138-9] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Accepted: 04/16/2018] [Indexed: 12/04/2022] Open
Abstract
Tests for isolation by distance (IBD) are the most commonly used method of assessing spatial genetic structure. Many studies have exclusively used mitochondrial DNA (mtDNA) sequences to test for IBD, but this marker is often in conflict with multilocus markers. Here, we report a review of the literature on IBD, with the aims of determining (a) whether significant IBD is primarily a result of lumping spatially discrete populations, and (b) whether microsatellite datasets are more likely to detect IBD when mtDNA does not. We also provide empirical data from four species in which mtDNA failed to detect IBD by comparing these with microsatellite and SNP data. Our results confirm that IBD is mostly found when distinct regional populations are pooled, and this trend disappears when each is analysed separately. Discrepancies between markers were found in almost half of the studies reviewed, and microsatellites were more likely to detect IBD when mtDNA did not. Our empirical data rejected the lack of IBD in the four species studied, and support for IBD was particularly strong for the SNP data. We conclude that mtDNA sequence data are often not suitable to test for IBD, and can be misleading about species' true dispersal potential. The observed failure of mtDNA to reliably detect IBD, in addition to being a single-locus marker, is likely a result of a selection-driven reduction in genetic diversity obscuring spatial genetic differentiation.
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Affiliation(s)
- Peter R Teske
- Centre for Ecological Genomics and Wildlife Conservation, Department of Zoology, University of Johannesburg, Auckland Park, 2006, South Africa.
| | - Tirupathi Rao Golla
- Centre for Ecological Genomics and Wildlife Conservation, Department of Zoology, University of Johannesburg, Auckland Park, 2006, South Africa
| | - Jonathan Sandoval-Castillo
- Molecular Ecology Lab, College of Science and Engineering, Flinders University, Adelaide, SA, 5001, Australia
| | - Arsalan Emami-Khoyi
- Centre for Ecological Genomics and Wildlife Conservation, Department of Zoology, University of Johannesburg, Auckland Park, 2006, South Africa
| | - Carl D van der Lingen
- Branch: Fisheries Management, Department of Agriculture, Forestry and Fisheries, Private Bag X2, Vlaeberg, 8012, South Africa
- Department of Biological Sciences and Marine Research Institute, University of Cape Town, Private Bag X3, Rondebosch, 7700, South Africa
| | - Sophie von der Heyden
- Evolutionary Genomics Group, Department of Botany and Zoology, University of Stellenbosch, Private Bag X1, 7602, Matieland, South Africa
| | - Brent Chiazzari
- School of Life Sciences, University of KwaZulu-Natal, Westville, Durban, 4001, South Africa
| | - Bettine Jansen van Vuuren
- Centre for Ecological Genomics and Wildlife Conservation, Department of Zoology, University of Johannesburg, Auckland Park, 2006, South Africa
| | - Luciano B Beheregaray
- Molecular Ecology Lab, College of Science and Engineering, Flinders University, Adelaide, SA, 5001, Australia
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38
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Forester BR, Lasky JR, Wagner HH, Urban DL. Comparing methods for detecting multilocus adaptation with multivariate genotype-environment associations. Mol Ecol 2018; 27:2215-2233. [DOI: 10.1111/mec.14584] [Citation(s) in RCA: 267] [Impact Index Per Article: 44.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2017] [Revised: 03/16/2018] [Accepted: 03/19/2018] [Indexed: 12/18/2022]
Affiliation(s)
- Brenna R. Forester
- Nicholas School of the Environment; Duke University; Durham North Carolina
| | - Jesse R. Lasky
- Department of Biology; Pennsylvania State University; University Park Pennsylvania
| | - Helene H. Wagner
- Department of Biology; University of Toronto Mississauga; Mississauga ON Canada
| | - Dean L. Urban
- Nicholas School of the Environment; Duke University; Durham North Carolina
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39
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Pélissié B, Crossley MS, Cohen ZP, Schoville SD. Rapid evolution in insect pests: the importance of space and time in population genomics studies. CURRENT OPINION IN INSECT SCIENCE 2018; 26:8-16. [PMID: 29764665 DOI: 10.1016/j.cois.2017.12.008] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 12/28/2017] [Accepted: 12/31/2017] [Indexed: 06/08/2023]
Abstract
Pest species in agroecosystems often exhibit patterns of rapid evolution to environmental and human-imposed selection pressures. Although the role of adaptive processes is well accepted, few insect pests have been studied in detail and most research has focused on selection at insecticide resistance candidate genes. Emerging genomic datasets provide opportunities to detect and quantify selection in insect pest populations, and address long-standing questions about mechanisms underlying rapid evolutionary change. We examine the strengths of recent studies that stratify population samples both in space (along environmental gradients and comparing ancestral vs. derived populations) and in time (using chronological sampling, museum specimens and comparative phylogenomics), resulting in critical insights on evolutionary processes, and providing new directions for studying pests in agroecosystems.
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Affiliation(s)
- Benjamin Pélissié
- University of Wisconsin-Madison, Department of Entomology, 1630 Linden Drive, 637-643 Russell Labs, Madison, WI 53706, USA.
| | - Michael S Crossley
- University of Wisconsin-Madison, Department of Entomology, 1630 Linden Drive, 637-643 Russell Labs, Madison, WI 53706, USA
| | - Zachary Paul Cohen
- University of Wisconsin-Madison, Department of Entomology, 1630 Linden Drive, 637-643 Russell Labs, Madison, WI 53706, USA
| | - Sean D Schoville
- University of Wisconsin-Madison, Department of Entomology, 1630 Linden Drive, 637-643 Russell Labs, Madison, WI 53706, USA
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40
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Ortego J, Gugger PF, Sork VL. Genomic data reveal cryptic lineage diversification and introgression in Californian golden cup oaks (section Protobalanus). THE NEW PHYTOLOGIST 2018; 218:804-818. [PMID: 29274282 DOI: 10.1111/nph.14951] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Accepted: 11/14/2017] [Indexed: 05/15/2023]
Abstract
Here we study hybridization, introgression and lineage diversification in the widely distributed canyon live oak (Quercus chrysolepis) and the relict island oak (Q. tomentella), two Californian golden cup oaks with an intriguing biogeographical history. We employed restriction-site-associated DNA sequencing and integrated phylogenomic and population genomic analyses to study hybridization and reconstruct the evolutionary past of these taxa. Our analyses revealed the presence of two cryptic lineages within Q. chrysolepis. One of these lineages shares its most recent common ancestor with Q. tomentella, supporting the paraphyly of Q. chrysolepis. The split of these lineages was estimated to take place during the late Pliocene or the early Pleistocene, a time corresponding well with the common presence of Q. tomentella in the fossil records of continental California. Analyses also revealed historical hybridization among lineages, high introgression from Q. tomentella into Q. chrysolepis in their current area of sympatry, and widespread admixture between the two lineages of Q. chrysolepis in contact zones. Our results support that the two lineages of Q. chrysolepis behave as a single functional species phenotypically and ecologically well differentiated from Q. tomentella, a situation that can be only accommodated considering hybridization and speciation as a continuum with diffuse limits.
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Affiliation(s)
- Joaquín Ortego
- Department of Integrative Ecology, Estación Biológica de Doñana, EBD-CSIC, Avda. Américo Vespucio 26, Seville, E-41092, Spain
| | - Paul F Gugger
- Appalachian Laboratory, University of Maryland Center for Environmental Science, 301 Braddock Road, Frostburg, MD, 21532, USA
| | - Victoria L Sork
- Department of Ecology and Evolutionary Biology, University of California, Box 957239, Los Angeles, CA, 90095, USA
- Institute of the Environment and Sustainability, University of California, Box 951496, Los Angeles, CA, 90095-1496, USA
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41
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Sandoval‐Castillo J, Robinson NA, Hart AM, Strain LWS, Beheregaray LB. Seascape genomics reveals adaptive divergence in a connected and commercially important mollusc, the greenlip abalone (
Haliotis laevigata
), along a longitudinal environmental gradient. Mol Ecol 2018; 27:1603-1620. [DOI: 10.1111/mec.14526] [Citation(s) in RCA: 83] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2017] [Revised: 12/05/2017] [Accepted: 12/15/2017] [Indexed: 12/12/2022]
Affiliation(s)
- Jonathan Sandoval‐Castillo
- Molecular Ecology Laboratory College of Science and Engineering Flinders University Adelaide SA Australia
| | - Nick A. Robinson
- Nofima Ås Norway
- Sustainable Aquaculture Laboratory School of BioSciences University of Melbourne Parkville Vic Australia
| | - Anthony M. Hart
- Western Australian Fisheries and Marine Research Laboratories Department of Fisheries Western Australia Hillarys WA Australia
| | - Lachlan W. S. Strain
- Western Australian Fisheries and Marine Research Laboratories Department of Fisheries Western Australia Hillarys WA Australia
| | - Luciano B. Beheregaray
- Molecular Ecology Laboratory College of Science and Engineering Flinders University Adelaide SA Australia
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42
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Jorge PH, Mastrochirico-Filho VA, Hata ME, Mendes NJ, Ariede RB, de Freitas MV, Vera M, Porto-Foresti F, Hashimoto DT. Genetic Characterization of the Fish Piaractus brachypomus by Microsatellites Derived from Transcriptome Sequencing. Front Genet 2018. [PMID: 29520294 PMCID: PMC5827183 DOI: 10.3389/fgene.2018.00046] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
The pirapitinga, Piaractus brachypomus (Characiformes, Serrasalmidae), is a fish from the Amazon basin and is considered to be one of the main native species used in aquaculture production in South America. The objectives of this study were: (1) to perform liver transcriptome sequencing of pirapitinga through NGS and then validate a set of microsatellite markers for this species; and (2) to use polymorphic microsatellites for analysis of genetic variability in farmed stocks. The transcriptome sequencing was carried out through the Roche/454 technology, which resulted in 3,696 non-redundant contigs. Of this total, 2,568 contigs had similarity in the non-redundant (nr) protein database (Genbank) and 2,075 sequences were characterized in the categories of Gene Ontology (GO). After the validation process of 30 microsatellite loci, eight markers showed polymorphism. The analysis of these polymorphic markers in farmed stocks revealed that fish farms from North Brazil had a higher genetic diversity than fish farms from Southeast Brazil. AMOVA demonstrated that the highest proportion of variation was presented within the populations. However, when comparing different groups (1: Wild; 2: North fish farms; 3: Southeast fish farms), a considerable variation between the groups was observed. The FST values showed the occurrence of genetic structure among the broodstocks from different regions of Brazil. The transcriptome sequencing in pirapitinga provided important genetic resources for biological studies in this non-model species, and microsatellite data can be used as the framework for the genetic management of breeding stocks in Brazil, which might provide a basis for a genetic pre-breeding programme.
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Affiliation(s)
- Paulo H Jorge
- Aquaculture Center of Universidade Estadual Paulista Júlio de Mesquita Filho, São Paulo State University, Jaboticabal, Brazil
| | - Vito A Mastrochirico-Filho
- Aquaculture Center of Universidade Estadual Paulista Júlio de Mesquita Filho, São Paulo State University, Jaboticabal, Brazil
| | - Milene E Hata
- Aquaculture Center of Universidade Estadual Paulista Júlio de Mesquita Filho, São Paulo State University, Jaboticabal, Brazil
| | - Natália J Mendes
- Aquaculture Center of Universidade Estadual Paulista Júlio de Mesquita Filho, São Paulo State University, Jaboticabal, Brazil
| | - Raquel B Ariede
- Aquaculture Center of Universidade Estadual Paulista Júlio de Mesquita Filho, São Paulo State University, Jaboticabal, Brazil
| | - Milena Vieira de Freitas
- Aquaculture Center of Universidade Estadual Paulista Júlio de Mesquita Filho, São Paulo State University, Jaboticabal, Brazil
| | - Manuel Vera
- Veterinary Faculty, University of Santiago de Compostela, Lugo, Spain
| | | | - Diogo T Hashimoto
- Aquaculture Center of Universidade Estadual Paulista Júlio de Mesquita Filho, São Paulo State University, Jaboticabal, Brazil
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43
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Attard CRM, Beheregaray LB, Möller LM. Genotyping‐by‐sequencing for estimating relatedness in nonmodel organisms: Avoiding the trap of precise bias. Mol Ecol Resour 2018; 18:381-390. [DOI: 10.1111/1755-0998.12739] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 11/02/2017] [Accepted: 11/02/2017] [Indexed: 12/29/2022]
Affiliation(s)
- Catherine R. M. Attard
- Molecular Ecology Lab College of Science and Engineering Flinders University Adelaide SA Australia
| | - Luciano B. Beheregaray
- Molecular Ecology Lab College of Science and Engineering Flinders University Adelaide SA Australia
| | - Luciana M. Möller
- Molecular Ecology Lab College of Science and Engineering Flinders University Adelaide SA Australia
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44
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Gruber B, Unmack PJ, Berry OF, Georges A. dartr
: An r
package to facilitate analysis of SNP data generated from reduced representation genome sequencing. Mol Ecol Resour 2018; 18:691-699. [DOI: 10.1111/1755-0998.12745] [Citation(s) in RCA: 279] [Impact Index Per Article: 46.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Revised: 12/05/2017] [Accepted: 12/11/2017] [Indexed: 12/01/2022]
Affiliation(s)
- Bernd Gruber
- Institute for Applied Ecology; University of Canberra; Canberra ACT Australia
| | - Peter J. Unmack
- Institute for Applied Ecology; University of Canberra; Canberra ACT Australia
| | - Oliver F. Berry
- CSIRO Environomics Future Science Platform; Indian Ocean Marine Research Centre; The University of Western Australia (M097); Crawley WA Australia
| | - Arthur Georges
- Institute for Applied Ecology; University of Canberra; Canberra ACT Australia
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45
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Attard CRM, Beheregaray LB, Sandoval-Castillo J, Jenner KCS, Gill PC, Jenner MNM, Morrice MG, Möller LM. From conservation genetics to conservation genomics: a genome-wide assessment of blue whales ( Balaenoptera musculus) in Australian feeding aggregations. ROYAL SOCIETY OPEN SCIENCE 2018; 5:170925. [PMID: 29410806 PMCID: PMC5792883 DOI: 10.1098/rsos.170925] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 01/02/2018] [Indexed: 06/08/2023]
Abstract
Genetic datasets of tens of markers have been superseded through next-generation sequencing technology with genome-wide datasets of thousands of markers. Genomic datasets improve our power to detect low population structure and identify adaptive divergence. The increased population-level knowledge can inform the conservation management of endangered species, such as the blue whale (Balaenoptera musculus). In Australia, there are two known feeding aggregations of the pygmy blue whale (B. m. brevicauda) which have shown no evidence of genetic structure based on a small dataset of 10 microsatellites and mtDNA. Here, we develop and implement a high-resolution dataset of 8294 genome-wide filtered single nucleotide polymorphisms, the first of its kind for blue whales. We use these data to assess whether the Australian feeding aggregations constitute one population and to test for the first time whether there is adaptive divergence between the feeding aggregations. We found no evidence of neutral population structure and negligible evidence of adaptive divergence. We propose that individuals likely travel widely between feeding areas and to breeding areas, which would require them to be adapted to a wide range of environmental conditions. This has important implications for their conservation as this blue whale population is likely vulnerable to a range of anthropogenic threats both off Australia and elsewhere.
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Affiliation(s)
- Catherine R. M. Attard
- Molecular Ecology Lab, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
- Cetacean Ecology, Behaviour and Evolution Lab, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
| | - Luciano B. Beheregaray
- Molecular Ecology Lab, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
| | - Jonathan Sandoval-Castillo
- Molecular Ecology Lab, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
| | - K. Curt S. Jenner
- Centre for Whale Research, PO Box 1622, Fremantle, Western Australia 6959, Australia
| | - Peter C. Gill
- Blue Whale Study, C/- Post Office, Narrawong, Victoria 3285, Australia
- School of Life and Environmental Sciences, Deakin University, PO Box 423, Warrnambool, Victoria 3280, Australia
| | | | - Margaret G. Morrice
- School of Life and Environmental Sciences, Deakin University, PO Box 423, Warrnambool, Victoria 3280, Australia
| | - Luciana M. Möller
- Molecular Ecology Lab, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
- Cetacean Ecology, Behaviour and Evolution Lab, College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, South Australia 5001, Australia
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46
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Attard CRM, Brauer CJ, Sandoval-Castillo J, Faulks LK, Unmack PJ, Gilligan DM, Beheregaray LB. Ecological disturbance influences adaptive divergence despite high gene flow in golden perch (Macquaria ambigua): Implications for management and resilience to climate change. Mol Ecol 2017; 27:196-215. [PMID: 29165848 DOI: 10.1111/mec.14438] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Revised: 10/31/2017] [Accepted: 11/04/2017] [Indexed: 01/01/2023]
Abstract
Populations that are adaptively divergent but maintain high gene flow may have greater resilience to environmental change as gene flow allows the spread of alleles that have already been tested elsewhere. In addition, populations naturally subjected to ecological disturbance may already hold resilience to future environmental change. Confirming this necessitates ecological genomic studies of high dispersal, generalist species. Here we perform one such study on golden perch (Macquaria ambigua) in the Murray-Darling Basin (MDB), Australia, using a genome-wide SNP data set. The MDB spans across arid to wet and temperate to subtropical environments, with low to high ecological disturbance in the form of low to high hydrological variability. We found high gene flow across the basin and three populations with low neutral differentiation. Genotype-environment association analyses detected adaptive divergence predominantly linked to an arid region with highly variable riverine flow, and candidate loci included functions related to fat storage, stress and molecular or tissue repair. The high connectivity of golden perch in the MDB will likely allow locally adaptive traits in its most arid and hydrologically variable environment to spread and be selected in localities that are predicted to become arid and hydrologically variable in future climates. High connectivity in golden perch is likely due to their generalist life history and efforts of fisheries management. Our study adds to growing evidence of adaptation in the face of gene flow and highlights the importance of considering ecological disturbance and adaptive divergence in biodiversity management.
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Affiliation(s)
- Catherine R M Attard
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, Australia
| | - Chris J Brauer
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, Australia
| | - Jonathan Sandoval-Castillo
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, Australia
| | - Leanne K Faulks
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, Australia.,Sugadaira Research Station, Mountain Science Center, University of Tsukuba, Nagano, Japan
| | - Peter J Unmack
- Institute for Applied Ecology, University of Canberra, Canberra, ACT, Australia
| | - Dean M Gilligan
- New South Wales Department of Primary Industries, Batemans Bay Fisheries Centre, Batemans Bay, NSW, Australia
| | - Luciano B Beheregaray
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, Australia
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47
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Li Y, Zhang XX, Mao RL, Yang J, Miao CY, Li Z, Qiu YX. Ten Years of Landscape Genomics: Challenges and Opportunities. FRONTIERS IN PLANT SCIENCE 2017; 8:2136. [PMID: 29312391 PMCID: PMC5733015 DOI: 10.3389/fpls.2017.02136] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Accepted: 12/01/2017] [Indexed: 05/06/2023]
Abstract
Landscape genomics is a relatively new discipline that aims to reveal the relationship between adaptive genetic imprints in genomes and environmental heterogeneity among natural populations. Although the interest in landscape genomics has increased since this term was coined, studies on this topic remain scarce. Landscape genomics has become a powerful method to scan and determine the genes responsible for the complex adaptive evolution of species at population (mostly) and individual (more rarely) level. This review outlines the sampling strategies, molecular marker types and research categories in 37 articles published during the first 10 years of this field (i.e., 2007-2016). We also address major challenges and future directions for landscape genomics. This review aims to promote interest in conducting additional studies in landscape genomics.
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Affiliation(s)
- Yong Li
- College of Forestry, Henan Agricultural University, Zhengzhou, China
| | - Xue-Xia Zhang
- College of Forestry, Henan Agricultural University, Zhengzhou, China
| | - Run-Li Mao
- College of Forestry, Henan Agricultural University, Zhengzhou, China
| | - Jie Yang
- College of Forestry, Henan Agricultural University, Zhengzhou, China
| | - Cai-Yun Miao
- College of Forestry, Henan Agricultural University, Zhengzhou, China
| | - Zhuo Li
- College of Forestry, Henan Agricultural University, Zhengzhou, China
| | - Ying-Xiong Qiu
- Key Laboratory of Conservation Biology for Endangered Wildlife of the Ministry of Education and Laboratory of Systematic and Evolutionary Botany and Biodiversity, College of Life Sciences, Zhejiang University, Hangzhou, China
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48
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Brauer CJ, Unmack PJ, Beheregaray LB. Comparative ecological transcriptomics and the contribution of gene expression to the evolutionary potential of a threatened fish. Mol Ecol 2017; 26:6841-6856. [DOI: 10.1111/mec.14432] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Revised: 08/23/2017] [Accepted: 10/25/2017] [Indexed: 01/06/2023]
Affiliation(s)
- Chris J. Brauer
- Molecular Ecology Laboratory College of Science and Engineering Flinders University Adelaide SA Australia
| | - Peter J. Unmack
- Institute for Applied Ecology University of Canberra Canberra ACT Australia
| | - Luciano B. Beheregaray
- Molecular Ecology Laboratory College of Science and Engineering Flinders University Adelaide SA Australia
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49
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Harrisson KA, Amish SJ, Pavlova A, Narum SR, Telonis‐Scott M, Rourke ML, Lyon J, Tonkin Z, Gilligan DM, Ingram BA, Lintermans M, Gan HM, Austin CM, Luikart G, Sunnucks P. Signatures of polygenic adaptation associated with climate across the range of a threatened fish species with high genetic connectivity. Mol Ecol 2017; 26:6253-6269. [DOI: 10.1111/mec.14368] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Revised: 09/22/2017] [Accepted: 09/25/2017] [Indexed: 12/25/2022]
Affiliation(s)
- Katherine A. Harrisson
- School of Biological Sciences Monash University Clayton Vic. Australia
- Department of Ecology Environment and Evolution School of Life Sciences La Trobe University Bundoora Vic. Australia
- Arthur Rylah Institute for Environmental Research Heidelberg Vic. Australia
| | - Stephen J. Amish
- Conservation Genomics Group Division of Biological Sciences University of Montana Missoula MT USA
- Flathead Lake Biological Station University of Montana Polson MT USA
| | - Alexandra Pavlova
- School of Biological Sciences Monash University Clayton Vic. Australia
| | - Shawn R. Narum
- Columbia River Inter‐Tribal Fish Commission Hagerman Fish Culture Experiment Station Hagerman IDUSA
| | | | - Meaghan L. Rourke
- Department of Primary Industries DPI Fisheries Narrandera NSW Australia
| | - Jarod Lyon
- Arthur Rylah Institute for Environmental Research Heidelberg Vic. Australia
| | - Zeb Tonkin
- Arthur Rylah Institute for Environmental Research Heidelberg Vic. Australia
| | - Dean M. Gilligan
- Department of Primary Industries DPI Fisheries, Batemans Bay Fisheries Office Batemans Bay NSW Australia
| | | | - Mark Lintermans
- Institute for Applied Ecology University of Canberra Canberra ACT Australia
| | - Han Ming Gan
- Centre for Integrative Ecology School of Life and Environmental Sciences Deakin University Geelong Vic. Australia
- School of Science Monash University Malaysia Petaling Jaya Selangor Malaysia
- Genomics Facility, Tropical Medicine and Biology Platform Monash University Malaysia Petaling Jaya Selangor Malaysia
| | - Christopher M. Austin
- Centre for Integrative Ecology School of Life and Environmental Sciences Deakin University Geelong Vic. Australia
- School of Science Monash University Malaysia Petaling Jaya Selangor Malaysia
- Genomics Facility, Tropical Medicine and Biology Platform Monash University Malaysia Petaling Jaya Selangor Malaysia
| | - Gordon Luikart
- Conservation Genomics Group Division of Biological Sciences University of Montana Missoula MT USA
- Flathead Lake Biological Station University of Montana Polson MT USA
| | - Paul Sunnucks
- School of Biological Sciences Monash University Clayton Vic. Australia
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50
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Perrier C, Ferchaud AL, Sirois P, Thibault I, Bernatchez L. Do genetic drift and accumulation of deleterious mutations preclude adaptation? Empirical investigation using RADseq in a northern lacustrine fish. Mol Ecol 2017; 26:6317-6335. [PMID: 29024140 DOI: 10.1111/mec.14361] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Revised: 09/05/2017] [Accepted: 09/08/2017] [Indexed: 01/01/2023]
Abstract
Understanding genomic signatures of divergent selection underlying long-term adaptation in populations located in heterogeneous environments is a key goal in evolutionary biology. In this study, we investigated neutral, adaptive and deleterious genetic variation using 7,192 SNPs in 31 Lake Trout (Salvelinus namaycush) populations (n = 673) from Québec, Canada. Average genetic diversity was low, weakly shared among lakes, and positively correlated with lake size, indicating a major role for genetic drift subsequent to lake isolation. Putatively deleterious mutations were on average at lower frequencies than the other SNPs, and their abundance relative to the entire polymorphism in each population was positively correlated with inbreeding, suggesting that the effectiveness of purifying selection was negatively correlated with inbreeding, as predicted from theory. Despite evidence for pronounced genetic drift and inbreeding, several outlier loci were associated with temperature and found in or close to genes with biologically relevant functions notably related to heat stress and immune responses. Outcomes of gene-temperature associations were influenced by the inclusion of the most inbred populations, in which allele frequencies deviated the most from model predictions. This result illustrates challenge in identifying gene-environment associations in cases of high genetic drift and restricted gene flow and suggests limited adaptation in populations experiencing higher inbreeding. We discuss the relevance of these findings for the conservation and management, notably regarding stocking and genetic rescue, of Lake Trout populations and other species inhabiting highly fragmented habitats.
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Affiliation(s)
- Charles Perrier
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada.,Centre d'Ecologie Fonctionnelle et Evolutive, UMR 5175 Campus CNRS, Université de Montpellier, Montpellier Cedex 5, France
| | - Anne-Laure Ferchaud
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
| | - Pascal Sirois
- Chaire de Recherche sur les Espèces Aquatiques Exploitées, Laboratoire des Sciences Aquatiques, Département des Sciences Fondamentales, Université du Québec à Chicoutimi, Chicoutimi, QC, Canada
| | - Isabel Thibault
- Direction de l'expertise sur la Faune Aquatique, Ministère des Forêts de la Faune et des Parcs du Québec, Québec, QC, Canada
| | - Louis Bernatchez
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
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