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Folkertsma R, Charbonnel N, Henttonen H, Heroldová M, Huitu O, Kotlík P, Manzo E, Paijmans JLA, Plantard O, Sándor AD, Hofreiter M, Eccard JA. Genomic signatures of climate adaptation in bank voles. Ecol Evol 2024; 14:e10886. [PMID: 38455148 PMCID: PMC10918726 DOI: 10.1002/ece3.10886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 11/17/2023] [Accepted: 12/18/2023] [Indexed: 03/09/2024] Open
Abstract
Evidence for divergent selection and adaptive variation across the landscape can provide insight into a species' ability to adapt to different environments. However, despite recent advances in genomics, it remains difficult to detect the footprints of climate-mediated selection in natural populations. Here, we analysed ddRAD sequencing data (21,892 SNPs) in conjunction with geographic climate variation to search for signatures of adaptive differentiation in twelve populations of the bank vole (Clethrionomys glareolus) distributed across Europe. To identify the loci subject to selection associated with climate variation, we applied multiple genotype-environment association methods, two univariate and one multivariate, and controlled for the effect of population structure. In total, we identified 213 candidate loci for adaptation, 74 of which were located within genes. In particular, we identified signatures of selection in candidate genes with functions related to lipid metabolism and the immune system. Using the results of redundancy analysis, we demonstrated that population history and climate have joint effects on the genetic variation in the pan-European metapopulation. Furthermore, by examining only candidate loci, we found that annual mean temperature is an important factor shaping adaptive genetic variation in the bank vole. By combining landscape genomic approaches, our study sheds light on genome-wide adaptive differentiation and the spatial distribution of variants underlying adaptive variation influenced by local climate in bank voles.
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Affiliation(s)
- Remco Folkertsma
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, Faculty of ScienceUniversity of PotsdamPotsdamGermany
- Comparative Cognition Unit, Messerli Research InstituteUniversity of Veterinary Medicine ViennaViennaAustria
| | | | | | - Marta Heroldová
- Department of Forest Ecology, FFWTMendel University in BrnoBrnoCzech Republic
| | - Otso Huitu
- Natural Resources Institute FinlandHelsinkiFinland
| | - Petr Kotlík
- Laboratory of Molecular Ecology, Institute of Animal Physiology and GeneticsCzech Academy of SciencesLiběchovCzech Republic
| | - Emiliano Manzo
- Fondazione Ethoikos, Convento dell'OsservanzaRadicondoliItaly
| | - Johanna L. A. Paijmans
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, Faculty of ScienceUniversity of PotsdamPotsdamGermany
- Present address:
Evolutionary Ecology Group, Department of ZoologyUniversity of CambridgeCambridgeUK
| | | | - Attila D. Sándor
- HUN‐RENClimate Change: New Blood‐Sucking Parasites and Vector‐Borne Pathogens Research GroupBudapestHungary
- Department of Parasitology and ZoologyUniversity of Veterinary MedicineBudapestHungary
- Department of Parasitology and Parasitic DiseasesUniversity of Agricultural Sciences and Veterinary MedicineCluj‐NapocaRomania
| | - Michael Hofreiter
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, Faculty of ScienceUniversity of PotsdamPotsdamGermany
| | - Jana A. Eccard
- Animal Ecology, Institute for Biochemistry and Biology, Faculty of ScienceBerlin‐Brandenburg Institute for Biodiversity ResearchUniversity of PotsdamPotsdamGermany
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2
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Chen Y, Ni P, Fu R, Murphy KJ, Wyeth RC, Bishop CD, Huang X, Li S, Zhan A. (Epi)genomic adaptation driven by fine geographical scale environmental heterogeneity after recent biological invasions. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2024; 34:e2772. [PMID: 36316814 DOI: 10.1002/eap.2772] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 09/07/2022] [Accepted: 09/13/2022] [Indexed: 06/16/2023]
Abstract
Elucidating processes and mechanisms involved in rapid local adaptation to varied environments is a poorly understood but crucial component in management of invasive species. Recent studies have proposed that genetic and epigenetic variation could both contribute to ecological adaptation, yet it remains unclear on the interplay between these two components underpinning rapid adaptation in wild animal populations. To assess their respective contributions to local adaptation, we explored epigenomic and genomic responses to environmental heterogeneity in eight recently colonized ascidian (Ciona intestinalis) populations at a relatively fine geographical scale. Based on MethylRADseq data, we detected strong patterns of local environment-driven DNA methylation divergence among populations, significant epigenetic isolation by environment (IBE), and a large number of local environment-associated epigenetic loci. Meanwhile, multiple genetic analyses based on single nucleotide polymorphisms (SNPs) showed genomic footprints of divergent selection. In addition, for five genetically similar populations, we detected significant methylation divergence and local environment-driven methylation patterns, indicating the strong effects of local environments on epigenetic variation. From a functional perspective, a majority of functional genes, Gene Ontology (GO) terms, and biological pathways were largely specific to one of these two types of variation, suggesting partial independence between epigenetic and genetic adaptation. The methylation quantitative trait loci (mQTL) analysis showed that the genetic variation explained only 18.67% of methylation variation, further confirming the autonomous relationship between these two types of variation. Altogether, we highlight the complementary interplay of genetic and epigenetic variation involved in local adaptation, which may jointly promote populations' rapid adaptive capacity and successful invasions in different environments. The findings here provide valuable insights into interactions between invaders and local environments to allow invasive species to rapidly spread, thus contributing to better prediction of invasion success and development of management strategies.
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Affiliation(s)
- Yiyong Chen
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - Ping Ni
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - Ruiying Fu
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - Kieran J Murphy
- Department of Biology, St. Francis Xavier University, Antigonish, Nova Scotia, Canada
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia
| | - Russell C Wyeth
- Department of Biology, St. Francis Xavier University, Antigonish, Nova Scotia, Canada
| | - Cory D Bishop
- Department of Biology, St. Francis Xavier University, Antigonish, Nova Scotia, Canada
| | - Xuena Huang
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
| | - Shiguo Li
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - Aibin Zhan
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
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3
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Nguyen HM, Ruocco M, Dattolo E, Cassetti FP, Calvo S, Tomasello A, Marín-Guirao L, Pernice M, Procaccini G. Signs of local adaptation by genetic selection and isolation promoted by extreme temperature and salinity in the Mediterranean seagrass Posidonia oceanica. Mol Ecol 2023; 32:4313-4328. [PMID: 37271924 DOI: 10.1111/mec.17032] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 05/10/2023] [Accepted: 05/17/2023] [Indexed: 06/06/2023]
Abstract
Adaptation to local conditions is known to occur in seagrasses; however, knowledge of the genetic basis underlying this phenomenon remains scarce. Here, we analysed Posidonia oceanica from six sites within and around the Stagnone di Marsala, a semi-enclosed coastal lagoon where salinity and temperature exceed the generally described tolerance thresholds of the species. Sea surface temperatures (SSTs) were measured and plant samples were collected for the assessment of morphology, flowering rate and for screening genome-wide polymorphisms using double digest restriction-site-associated DNA sequencing. Results demonstrated more extreme SSTs and salinity levels inside the lagoon than the outer lagoon regions. Morphological results showed significantly fewer and shorter leaves and reduced rhizome growth of P. oceanica from the inner lagoon and past flowering events were recorded only for a meadow farthest away from the lagoon. Using an array of 51,329 single nucleotide polymorphisms, we revealed a clear genetic structure among the study sites and confirmed the genetic isolation and high clonality of the innermost site. In all, 14 outlier loci were identified and annotated with several proteins including those relate to plant stress response, protein transport and regulators of plant-specific developmental events. Especially, five outlier loci showed maximum allele frequency at the innermost site, likely reflecting adaptation to the extreme temperature and salinity regimes, possibly due to the selection of more resistant genotypes and the progressive restriction of gene flow. Overall, this study helps us to disentangle the genetic basis of seagrass adaptation to local environmental conditions and may support future works on assisted evolution in seagrasses.
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Affiliation(s)
| | | | | | | | - Sebastiano Calvo
- Dipartimento di Scienze della Terra e del Mare, Università di Palermo, Palermo, Italy
| | - Agostino Tomasello
- Dipartimento di Scienze della Terra e del Mare, Università di Palermo, Palermo, Italy
| | - Lázaro Marín-Guirao
- Stazione Zoologica Anton Dohrn, Napoli, Italy
- Oceanographic Center of Murcia, Seagrass Ecology Group, Spanish Institute of Oceanography (IEO-CSIC), Murcia, Spain
| | - Mathieu Pernice
- Faculty of Science, Climate Change Cluster (C3), University of Technology Sydney, Ultimo, New South Wales, Australia
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4
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Yu X, Wei P, Zhao S, Chen Z, Li X, Zhang W, Liu C, Yang Y, Li X, Liu X. Population transcriptomics uncover the relative roles of positive selection and differential expression in Batrachium bungei adaptation to the Qinghai-Tibetan plateau. PLANT CELL REPORTS 2023; 42:879-893. [PMID: 36973418 DOI: 10.1007/s00299-023-03005-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 03/14/2023] [Indexed: 05/06/2023]
Abstract
KEY MESSAGE Positive selection genes are related to metabolism, while differentially expressed genes are related to photosynthesis, suggesting that genetic adaptation and expression regulation may play independent roles in different gene classes. Genome-wide investigation of the molecular mechanisms for high-altitude adaptation is an intriguing topic in evolutionary biology. The Qinghai-Tibet Plateau (QTP) with its extremely variable environments is an ideal site for studying high-altitude adaptation. Here, we used transcriptome data of 100 individuals from 20 populations collected from various altitudes on the QTP to investigate the adaptive mechanisms of the aquatic plant Batrachium bungei at both the genetic and transcriptional level. To explore genes and biological pathways that may contribute to QTP adaptation, we employed a two-step approach, in which we identified positively selected genes and differentially expressed genes using the landscape genomic and differential expression approaches. The positive selection analysis showed that genes involved in metabolic regulation played a crucial role in B. bungei adaptation to the extreme environments of the QTP, especially intense ultraviolet radiation. Altitude-based differential expression analysis suggested that B. bungei could increase the rate of energy dissipation or reduce the efficiency of light energy absorption by down regulating the expression of photosynthesis-related genes to adapt to the strong ultraviolet radiation. Weighted gene co-expression network analysis identified ribosomal genes as hubs of altitude adaptation in B. bungei. Only a small part of genes (about 10%) overlapped between positively selected genes and differentially expressed genes in B. bungei, suggesting that genetic adaptation and gene expression regulation might play relatively independent roles in different categories of functional genes. Taken together, this study enriches our understanding of the high-altitude adaptation mechanism of B. bungei on the QTP.
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Affiliation(s)
- Xiaolei Yu
- State Key Laboratory of Hybrid Rice, Laboratory of Plant Systematics and Evolutionary Biology, College of Life Sciences, Wuhan University, Wuhan, 430072, Hubei, China
| | - Pei Wei
- State Key Laboratory of Hybrid Rice, Laboratory of Plant Systematics and Evolutionary Biology, College of Life Sciences, Wuhan University, Wuhan, 430072, Hubei, China
| | - Shuqi Zhao
- State Key Laboratory of Hybrid Rice, Laboratory of Plant Systematics and Evolutionary Biology, College of Life Sciences, Wuhan University, Wuhan, 430072, Hubei, China
| | - Zhuyifu Chen
- State Key Laboratory of Hybrid Rice, Laboratory of Plant Systematics and Evolutionary Biology, College of Life Sciences, Wuhan University, Wuhan, 430072, Hubei, China
| | - Xinzhong Li
- Laboratory of Extreme Environmental Biological Resources and Adaptive Evolution, Research Center for Ecology, School of Sciences, Tibet University, Lhasa, 850000, Tibet, China
| | - Wencai Zhang
- Laboratory of Extreme Environmental Biological Resources and Adaptive Evolution, Research Center for Ecology, School of Sciences, Tibet University, Lhasa, 850000, Tibet, China
| | - Chenlai Liu
- State Key Laboratory of Hybrid Rice, Laboratory of Plant Systematics and Evolutionary Biology, College of Life Sciences, Wuhan University, Wuhan, 430072, Hubei, China
| | - Yujiao Yang
- State Key Laboratory of Hybrid Rice, Laboratory of Plant Systematics and Evolutionary Biology, College of Life Sciences, Wuhan University, Wuhan, 430072, Hubei, China
| | - Xiaoyan Li
- Biology Experimental Teaching Center, School of Life Science, Wuhan University, Wuhan, 430072, Hubei, China.
| | - Xing Liu
- State Key Laboratory of Hybrid Rice, Laboratory of Plant Systematics and Evolutionary Biology, College of Life Sciences, Wuhan University, Wuhan, 430072, Hubei, China.
- Laboratory of Extreme Environmental Biological Resources and Adaptive Evolution, Research Center for Ecology, School of Sciences, Tibet University, Lhasa, 850000, Tibet, China.
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5
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Lundregan SL, Mäkinen H, Buer A, Holand H, Jensen H, Husby A. Infection by a helminth parasite is associated with changes in
DNA
methylation in the house sparrow. Ecol Evol 2022; 12:e9539. [PMCID: PMC9702581 DOI: 10.1002/ece3.9539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 10/24/2022] [Accepted: 11/03/2022] [Indexed: 11/29/2022] Open
Affiliation(s)
- Sarah L. Lundregan
- Department of Biology, Centre for Biodiversity Dynamics Norwegian University of Science and Technology Trondheim Norway
| | - Hannu Mäkinen
- Department of Biology, Centre for Biodiversity Dynamics Norwegian University of Science and Technology Trondheim Norway
- Evolutionary Biology, Department of Ecology and Genetics Uppsala University Uppsala Sweden
| | - Amberly Buer
- Department of Biology, Centre for Biodiversity Dynamics Norwegian University of Science and Technology Trondheim Norway
| | - Håkon Holand
- Department of Biology, Centre for Biodiversity Dynamics Norwegian University of Science and Technology Trondheim Norway
| | - Henrik Jensen
- Department of Biology, Centre for Biodiversity Dynamics Norwegian University of Science and Technology Trondheim Norway
| | - Arild Husby
- Department of Biology, Centre for Biodiversity Dynamics Norwegian University of Science and Technology Trondheim Norway
- Evolutionary Biology, Department of Ecology and Genetics Uppsala University Uppsala Sweden
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6
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Gamboa MP, Ghalambor CK, Scott Sillett T, Morrison SA, Chris Funk W. Adaptive divergence in bill morphology and other thermoregulatory traits is facilitated by restricted gene flow in song sparrows on the California Channel Islands. Mol Ecol 2021; 31:603-619. [PMID: 34704295 DOI: 10.1111/mec.16253] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 09/20/2021] [Accepted: 09/27/2021] [Indexed: 02/06/2023]
Abstract
Disentangling the effects of neutral and adaptive processes in maintaining phenotypic variation across environmental gradients is challenging in natural populations. Song sparrows (Melospiza melodia) on the California Channel Islands occupy a pronounced east-west climate gradient within a small spatial scale, providing a unique opportunity to examine the interaction of genetic isolation (reduced gene flow) and the environment (selection) in driving variation. We used reduced representation genomic libraries to infer the role of neutral processes (drift and restricted gene flow) and divergent selection in driving variation in thermoregulatory traits with an emphasis on the mechanisms that maintain bill divergence among islands. Analyses of 22,029 neutral SNPs confirm distinct population structure by island with restricted gene flow and relatively large effective population sizes, suggesting bill differences are probably not a product of genetic drift. Instead, we found strong support for local adaptation using 3294 SNPs in differentiation-based and environmental association analyses coupled with genome-wide association tests. Specifically, we identified several putatively adaptive and candidate loci in or near genes involved in bill development pathways (e.g., BMP, CaM, Wnt), confirming the highly complex and polygenic architecture underlying bill morphology. Furthermore, we found divergence in genes associated with other thermoregulatory traits (i.e., feather structure, plumage colour, and physiology). Collectively, these results suggest strong divergent selection across an island archipelago results in genomic changes in a suite of traits associated with climate adaptation over small spatial scales. Future research should move beyond studying univariate traits to better understand multidimensional responses to complex environmental conditions.
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Affiliation(s)
- Maybellene P Gamboa
- Department of Organismal Biology and Ecology, Colorado College, Colorado Springs, Colorado, USA
| | - Cameron K Ghalambor
- Department of Biology, Graduate Degree Program in Ecology, Colorado State University, Fort Collins, Colorado, USA.,Department of Biology, Centre for Biodiversity Dynamics (CBD), Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - T Scott Sillett
- Migratory Bird Center, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, District of Columbia, USA
| | | | - W Chris Funk
- Department of Biology, Graduate Degree Program in Ecology, Colorado State University, Fort Collins, Colorado, USA
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7
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DeRaad DA, Cobos ME, Alkishe A, Ashraf U, Ahadji-Dabla KM, Nuñez-Penichet C, Peterson AT. Genome-environment association methods comparison supports omnigenic adaptation to ecological niche in malaria vector mosquitoes. Mol Ecol 2021; 30:6468-6485. [PMID: 34309095 DOI: 10.1111/mec.16094] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 07/02/2021] [Accepted: 07/19/2021] [Indexed: 11/29/2022]
Abstract
The concept of a fundamental ecological niche is central to questions of geographic distribution, population demography, species conservation, and evolutionary potential. However, robust inference of genomic regions associated with evolutionary adaptation to particular environmental conditions remains difficult due to the myriad of potential confounding processes that can generate heterogeneous patterns of variation across the genome. Here, we interrogate the potential role of genome environment association (GEA) testing as an initial step in building an understanding of the genetic basis of ecological niche. We leverage publicly available genomic data from the Anopheles gambiae 1000 Genomes (Ag1000g) Consortium to test the ability of multiple analytically unique GEA methods to handle confounding patterns of genetic variation, control false positive rates, and discern associations with broadly relevant climate variables from random allele frequency patterns throughout the genome. We found evidence supporting the ability of commonly implemented GEA methods to account for confounding patterns of spatial and genetic variation, and control false positive rates. However, we fail to find evidence supporting the ability of GEA tests to reject signals of adaptation to randomly simulated environmental variables, indicating that discerning between true signals of genome environment adaptation and genome environment correlations resulting from alternative evolutionary processes, remains challenging. Because signals of environmental adaptation are so diffuse and confounded throughout the genome, we argue that genomic adaptation to ecological niche is likely best understood under an omnigenic model wherein highly interconnected, genome-wide gene regulatory networks shape genomic adaptation to key environmental conditions.
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Affiliation(s)
- Devon A DeRaad
- Department of Ecology & Evolutionary Biology and Biodiversity Institute, University of Kansas, Lawrence, Kansas, USA
| | - Marlon E Cobos
- Department of Ecology & Evolutionary Biology and Biodiversity Institute, University of Kansas, Lawrence, Kansas, USA
| | - Abdelghafar Alkishe
- Department of Ecology & Evolutionary Biology and Biodiversity Institute, University of Kansas, Lawrence, Kansas, USA
| | - Uzma Ashraf
- Department of Environmental Sciences and Policy, Lahore School of Economics, Lahore, Pakistan
| | | | - Claudia Nuñez-Penichet
- Department of Ecology & Evolutionary Biology and Biodiversity Institute, University of Kansas, Lawrence, Kansas, USA
| | - A Townsend Peterson
- Department of Ecology & Evolutionary Biology and Biodiversity Institute, University of Kansas, Lawrence, Kansas, USA
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8
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de Jong MJ, Lovatt F, Hoelzel AR. Detecting genetic signals of selection in heavily bottlenecked reindeer populations by comparing parallel founder events. Mol Ecol 2021; 30:1642-1658. [PMID: 33565631 DOI: 10.1111/mec.15837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 01/11/2021] [Accepted: 01/28/2021] [Indexed: 11/28/2022]
Abstract
Founder populations are of special interest to both evolutionary and conservation biologists, but the detection of genetic signals of selection in these populations is challenging due to their demographic history. Geographically separated founder populations likely to have been subjected to similar selection pressures provide an ideal but rare opportunity to overcome these challenges. Here we take advantage of such a situation generated when small, isolated founder populations of reindeer were established on the island of South Georgia, and using this system we look for empirical evidence of selection overcoming strong genetic drift. We generated a 70 k ddRADseq single nucleotide polymorphism database for the two parallel reindeer founder populations and screened for signatures of soft sweeps. We find evidence for a genomic region under selection shared among the two populations, and support our findings with Wright-Fisher model simulations to assess the power and specificity of interpopulation selection scans-namely Bayescan, OutFLANK, PCadapt and a newly developed scan called Genome Wide Differentiation Scan (GWDS)-in the context of pairwise source-founder comparisons. Our simulations indicate that loci under selection in small founder populations are most probably detected by GWDS, and strengthen the hypothesis that the outlier region represents a true locus under selection. We explore possible, relevant functional roles for genes in linkage with the detected outlier loci.
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Affiliation(s)
| | - Fiona Lovatt
- Department of Biosciences, Durham University, Durham, UK
| | - A Rus Hoelzel
- Department of Biosciences, Durham University, Durham, UK
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9
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Vu NTT, Zenger KR, Guppy JL, Sellars MJ, Silva CNS, Kjeldsen SR, Jerry DR. Fine-scale population structure and evidence for local adaptation in Australian giant black tiger shrimp (Penaeus monodon) using SNP analysis. BMC Genomics 2020; 21:669. [PMID: 32993495 PMCID: PMC7526253 DOI: 10.1186/s12864-020-07084-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 09/18/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Restrictions to gene flow, genetic drift, and divergent selection associated with different environments are significant drivers of genetic differentiation. The black tiger shrimp (Penaeus monodon), is widely distributed throughout the Indian and Pacific Oceans including along the western, northern and eastern coastline of Australia, where it is an important aquaculture and fishery species. Understanding the genetic structure and the influence of environmental factors leading to adaptive differences among populations of this species is important for farm genetic improvement programs and sustainable fisheries management. RESULTS Based on 278 individuals obtained from seven geographically disparate Australian locations, 10,624 high-quality SNP loci were used to characterize genetic diversity, population structure, genetic connectivity, and adaptive divergence. Significant population structure and differentiation were revealed among wild populations (average FST = 0.001-0.107; p < 0.05). Eighty-nine putatively outlier SNPs were identified to be potentially associated with environmental variables by using both population differentiation (BayeScan and PCAdapt) and environmental association (redundancy analysis and latent factor mixed model) analysis methods. Clear population structure with similar spatial patterns were observed in both neutral and outlier markers with three genetically distinct groups identified (north Queensland, Northern Territory, and Western Australia). Redundancy, partial redundancy, and multiple regression on distance matrices analyses revealed that both geographical distance and environmental factors interact to generate the structure observed across Australian P. monodon populations. CONCLUSION This study provides new insights on genetic population structure of Australian P. monodon in the face of environmental changes, which can be used to advance sustainable fisheries management and aquaculture breeding programs.
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Affiliation(s)
- Nga T T Vu
- Australian Research Council Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD, 4811, Australia. .,Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, QLD, 4811, Australia.
| | - Kyall R Zenger
- Australian Research Council Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD, 4811, Australia.,Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, QLD, 4811, Australia
| | - Jarrod L Guppy
- Australian Research Council Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD, 4811, Australia.,Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, QLD, 4811, Australia
| | - Melony J Sellars
- Australian Research Council Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD, 4811, Australia.,CSIRO Agriculture & Food, Integrated Sustainable Aquaculture Production Program, Queensland Bioscience Precinct, St Lucia, 4067, Australia.,Present address: Genics Pty Ltd, Level 5, Gehrmann Building. 60 Research Road, St Lucia, QLD, 4067, Australia
| | - Catarina N S Silva
- Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, QLD, 4811, Australia
| | - Shannon R Kjeldsen
- Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, QLD, 4811, Australia
| | - Dean R Jerry
- Australian Research Council Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD, 4811, Australia.,Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, QLD, 4811, Australia.,Tropical Futures Institute, James Cook University, Singapore, Singapore
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10
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Walters SJ, Robinson TP, Byrne M, Wardell-Johnson GW, Nevill P. Contrasting patterns of local adaptation along climatic gradients between a sympatric parasitic and autotrophic tree species. Mol Ecol 2020; 29:3022-3037. [PMID: 32621768 DOI: 10.1111/mec.15537] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 06/28/2020] [Accepted: 06/29/2020] [Indexed: 12/16/2022]
Abstract
Sympatric tree species are subject to similar climatic drivers, posing a question as to whether they display comparable adaptive responses. However, no study has explicitly examined local adaptation of co-occurring parasitic and autotrophic plant species to the abiotic environment. Here we test the hypotheses that a generalist parasitic tree would display a weaker signal of selection and that genomic variation would associate with fewer climatic variables (particularly precipitation) but have similar spatial patterns to a sympatric autotrophic tree species. To test these hypotheses, we collected samples from 17 sites across the range of two tree species, the hemiparasite Nuytsia floribunda (n = 264) and sympatric autotroph Melaleuca rhaphiophylla (n = 272). We obtained 5,531 high-quality genome-wide single nucleotide polymorphisms (SNPs) for M. rhaphiophylla and 6,727 SNPs for N. floribunda using DArTseq genome scan technology. Population differentiation and environmental association approaches were used to identify signals of selection. Generalized dissimilarly modelling was used to detect climatic and spatial patterns of local adaptation across climatic gradients. Overall, 322 SNPs were identified as putatively adaptive for the autotroph, while only 57 SNPs were identified for the parasitic species. We found genomic variation to associate with different sets of bioclimatic variables for each species, with precipitation relatively less important for the parasite. Spatial patterns of predicted adaptive variability were different and indicate that co-occurring species with disparate life history traits may not respond equally to selective pressures (i.e., temperature and precipitation). Together, these findings provide insight into local adaptation of sympatric parasitic and autotrophic tree species to abiotic environments.
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Affiliation(s)
- Sheree J Walters
- ARC Centre for Mine Site Restoration, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia
| | - Todd P Robinson
- School of Earth and Planetary Science, Curtin University, Perth, Western Australia, Australia
| | - Margaret Byrne
- Biodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Perth, Western Australia, Australia.,School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia
| | - Grant W Wardell-Johnson
- ARC Centre for Mine Site Restoration, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia
| | - Paul Nevill
- ARC Centre for Mine Site Restoration, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia.,Trace and Environmental DNA Laboratory, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia
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11
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Lundregan SL, Niskanen AK, Muff S, Holand H, Kvalnes T, Ringsby T, Husby A, Jensen H. Resistance to gapeworm parasite has both additive and dominant genetic components in house sparrows, with evolutionary consequences for ability to respond to parasite challenge. Mol Ecol 2020; 29:3812-3829. [DOI: 10.1111/mec.15491] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 05/12/2020] [Accepted: 05/21/2020] [Indexed: 12/18/2022]
Affiliation(s)
- Sarah L. Lundregan
- Centre for Biodiversity Dynamics Department of Biology Norwegian University of Science and Technology Trondheim Norway
| | - Alina K. Niskanen
- Centre for Biodiversity Dynamics Department of Biology Norwegian University of Science and Technology Trondheim Norway
- Ecology and Genetics Research Unit University of Oulu Oulu Finland
| | - Stefanie Muff
- Centre for Biodiversity Dynamics Department of Mathematical Sciences Norwegian University of Science and Technology Trondheim Norway
| | - Håkon Holand
- Centre for Biodiversity Dynamics Department of Biology Norwegian University of Science and Technology Trondheim Norway
| | - Thomas Kvalnes
- Centre for Biodiversity Dynamics Department of Biology Norwegian University of Science and Technology Trondheim Norway
| | - Thor‐Harald Ringsby
- Centre for Biodiversity Dynamics Department of Biology Norwegian University of Science and Technology Trondheim Norway
| | - Arild Husby
- Centre for Biodiversity Dynamics Department of Biology Norwegian University of Science and Technology Trondheim Norway
- Evolutionary Biology Department of Ecology and Genetics Uppsala University Uppsala Sweden
| | - Henrik Jensen
- Centre for Biodiversity Dynamics Department of Biology Norwegian University of Science and Technology Trondheim Norway
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12
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Hanson HE, Mathews NS, Hauber ME, Martin LB. The house sparrow in the service of basic and applied biology. eLife 2020; 9:e52803. [PMID: 32343224 PMCID: PMC7189751 DOI: 10.7554/elife.52803] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 04/06/2020] [Indexed: 12/13/2022] Open
Abstract
From the northernmost tip of Scandinavia to the southernmost corner of Patagonia, and across six continents, house sparrows (Passer domesticus) inhabit most human-modified habitats of the globe. With over 7,000 articles published, the species has become a workhorse for not only the study of self-urbanized wildlife, but also for understanding life history and body size evolution, sexual selection and many other biological phenomena. Traditionally, house sparrows were studied for their adaptations to local biotic and climatic conditions, but more recently, the species has come to serve as a focus for studies seeking to reveal the genomic, epigenetic and physiological underpinnings of success among invasive vertebrate species. Here, we review the natural history of house sparrows, highlight what the study of these birds has meant to bioscience generally, and describe the many resources available for future work on this species.
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Affiliation(s)
- Haley E Hanson
- Global and Planetary Health, University of South FloridaTampaUnited States
| | - Noreen S Mathews
- Global and Planetary Health, University of South FloridaTampaUnited States
| | - Mark E Hauber
- Department of Evolution, Ecology, and BehaviorUniversity of Illinois at Urbana-ChampaignUrbanaUnited States
| | - Lynn B Martin
- Global and Planetary Health, University of South FloridaTampaUnited States
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13
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Ma L, Cao L, Hoffmann AA, Gong Y, Chen J, Chen H, Wang X, Zeng A, Wei S, Zhou Z. Rapid and strong population genetic differentiation and genomic signatures of climatic adaptation in an invasive mealybug. DIVERS DISTRIB 2020. [DOI: 10.1111/ddi.13053] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Affiliation(s)
- Ling Ma
- State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant Protection Chinese Academy of Agricultural Sciences Beijing China
- Institute of Plant and Environmental Protection Beijing Academy of Agriculture and Forestry Sciences Beijing China
- Institute of Insect Science Hunan Agriculture University Changsha China
| | - Li‐Jun Cao
- Institute of Plant and Environmental Protection Beijing Academy of Agriculture and Forestry Sciences Beijing China
| | - Ary A. Hoffmann
- School of BioSciences Bio21 Institute The University of Melbourne Melbourne Victoria Australia
| | - Ya‐Jun Gong
- Institute of Plant and Environmental Protection Beijing Academy of Agriculture and Forestry Sciences Beijing China
| | - Jin‐Cui Chen
- Institute of Plant and Environmental Protection Beijing Academy of Agriculture and Forestry Sciences Beijing China
| | - Hong‐Song Chen
- Guangxi Key Laboratory for Biology of Crop Diseases and Insect Pests Institute of Plant Protection Guangxi Academy of Agricultural Sciences Nanning China
| | - Xu‐Bo Wang
- Yunnan Academy of Biodiversity, Southwest Forestry University Kunming China
| | - Ai‐Ping Zeng
- Institute of Insect Science Hunan Agriculture University Changsha China
| | - Shu‐Jun Wei
- Institute of Plant and Environmental Protection Beijing Academy of Agriculture and Forestry Sciences Beijing China
| | - Zhong‐Shi Zhou
- State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant Protection Chinese Academy of Agricultural Sciences Beijing China
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14
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DeSaix MG, Bulluck LP, Eckert AJ, Viverette CB, Boves TJ, Reese JA, Tonra CM, Dyer RJ. Population assignment reveals low migratory connectivity in a weakly structured songbird. Mol Ecol 2019; 28:2122-2135. [DOI: 10.1111/mec.15083] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 03/14/2019] [Indexed: 12/12/2022]
Affiliation(s)
- Matthew G. DeSaix
- Center for Environmental Studies Virginia Commonwealth University Richmond Virginia
| | - Lesley P. Bulluck
- Center for Environmental Studies Virginia Commonwealth University Richmond Virginia
- Department of Biology Virginia Commonwealth University Richmond Virginia
| | - Andrew J. Eckert
- Department of Biology Virginia Commonwealth University Richmond Virginia
| | | | - Than J. Boves
- Arkansas Department of Biological Sciences Arkansas State University Jonesboro Arkansas
| | - Jessica A. Reese
- Department of Biology Virginia Commonwealth University Richmond Virginia
| | - Christopher M. Tonra
- School of Environmental and Natural Resources The Ohio State University Columbus Ohio
| | - Rodney J. Dyer
- Center for Environmental Studies Virginia Commonwealth University Richmond Virginia
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