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Franco FF, Amaral DT, Bonatelli IAS, Meek JB, Moraes EM, Zappi DC, Taylor NP, Eaton DAR. A historical stepping-stone path for an island-colonizing cactus across a submerged "bridge" archipelago. Heredity (Edinb) 2024; 132:296-308. [PMID: 38637723 PMCID: PMC11166651 DOI: 10.1038/s41437-024-00683-4] [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: 07/29/2023] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/20/2024] Open
Abstract
Here we use population genomic data (ddRAD-Seq) and ecological niche modeling to test biogeographic hypotheses for the divergence of the island-endemic cactus species Cereus insularis Hemsl. (Cereeae; Cactaceae) from its sister species C. fernambucensis Lem. The Cereus insularis grows in the Fernando de Noronha Islands (FNI), a Neotropical archipelago located 350 km off the Brazilian Atlantic Forest (BAF) coast. Phylogeographic reconstructions support a northward expansion by the common ancestor of C. insularis and C. fernambucensis along the mainland BAF coast, with C. insularis diverging from the widespread mainland taxon C. fernambucensis after colonizing FNI in the late Pleistocene. The morphologically distinct C. insularis is monophyletic and nested within C. fernambucensis, as expected from a progenitor-derivative speciation model. We tested alternative biogeographic and demographic hypotheses for the colonization of the FNI using Approximate Bayesian Computation. We found the greatest support for a stepping-stone path that emerged during periods of decreased sea level (the "bridge" hypothesis), in congruence with historical ecological niche modeling that shows highly suitable habitats on stepping-stone islands during glacial periods. The outlier analyses reveal signatures of selection in C. insularis, suggesting a putative role of adaptation driving rapid anagenic differentiation of this species in FNI.
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Affiliation(s)
- Fernando Faria Franco
- Departamento de Biologia. Centro de Ciências Humanas e Biológicas, Universidade Federal de São Carlos (UFSCar), Sorocaba, Brazil.
| | - Danilo Trabuco Amaral
- Centro de Ciências Naturais e Humanas, Universidade Federal do ABC (UFABC), Santo André, São Paulo, Brazil
- Programa de Pós Graduação em Biologia Comparada. Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, Brazil
| | - Isabel A S Bonatelli
- Instituto de Ciências Ambientais, Químicas e Farmacêuticas. Departamento de Ecologia e Biologia Evolutiva, Universidade Federal de São Paulo, Diadema, SP, Brazil
| | - Jared B Meek
- Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY, 10027, USA
| | - Evandro Marsola Moraes
- Departamento de Biologia. Centro de Ciências Humanas e Biológicas, Universidade Federal de São Carlos (UFSCar), Sorocaba, Brazil
| | - Daniela Cristina Zappi
- Programa de Pós Graduação em Botânica, Instituto de Ciências Biológicas, Universidade de Brasília, PO Box 04457, Brasília, DF, 70910970, Brazil
| | - Nigel Paul Taylor
- Departamento de Biologia. Centro de Ciências Humanas e Biológicas, Universidade Federal de São Carlos (UFSCar), Sorocaba, Brazil
| | - Deren A R Eaton
- Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY, 10027, USA
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2
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Dai JX, Cao LJ, Chen JC, Yang F, Shen XJ, Ma LJ, Hoffmann AA, Chen M, Wei SJ. Testing for adaptive changes linked to range expansion following a single introduction of the fall webworm. Mol Ecol 2024; 33:e17038. [PMID: 37277936 DOI: 10.1111/mec.17038] [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: 12/30/2022] [Accepted: 05/24/2023] [Indexed: 06/07/2023]
Abstract
Adaptive evolution following colonization can affect the impact of invasive species. The fall webworm (FWW) invaded China 40 years ago through a single introduction event involving a severe bottleneck and subsequently diverged into two genetic groups. The well-recorded invasion history of FWW, coupled with a clear pattern of genetic divergence, provides an opportunity to investigate whether there is any sign of adaptive evolution following the invasion. Based on genome-wide SNPs, we identified genetically separated western and eastern groups of FWW and correlated spatial variation in SNPs with geographical and climatic factors. Geographical factors explained a similar proportion of the genetic variation across all populations compared with climatic factors. However, when the two population groups were analysed separately, environmental factors explained more variation than geographical factors. SNP outliers in populations of the western group had relatively stronger response to precipitation than temperature-related variables. Functional annotation of SNP outliers identified genes associated with insect cuticle protein potentially related to desiccation adaptation in the western group and genes associated with lipase biosynthesis potentially related to temperature adaptation in the eastern group. Our study suggests that invasive species may maintain the evolutionary potential to adapt to heterogeneous environments despite a single invasion event. The molecular data suggest that quantitative trait comparisons across environments would be worthwhile.
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Affiliation(s)
- Jin-Xu Dai
- Beijing Key Laboratory for Forest Pests Control, Beijing Forestry University, Beijing, China
- Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Li-Jun Cao
- Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Jin-Cui Chen
- Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Fangyuan Yang
- Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Xiu-Jing Shen
- Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Li-Jun Ma
- Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Ary Anthony Hoffmann
- School of BioSciences, Bio21 Institute, University of Melbourne, Parkville, Victoria, Australia
| | - Min Chen
- Beijing Key Laboratory for Forest Pests Control, Beijing Forestry University, Beijing, China
| | - Shu-Jun Wei
- Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
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3
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Carvalho-Madrigal S, Sanín MJ. The role of introgressive hybridization in shaping the geographically isolated gene pools of wax palm populations (genus Ceroxylon). Mol Phylogenet Evol 2024; 193:108013. [PMID: 38195012 DOI: 10.1016/j.ympev.2024.108013] [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: 09/18/2023] [Revised: 12/22/2023] [Accepted: 01/06/2024] [Indexed: 01/11/2024]
Abstract
The speciation continuum is the process by which genetic groups diverge until they reach reproductive isolation. It has become common in the literature to show that this process is gradual and flickering, with possibly many instances of secondary contact and introgression after divergence has started. The level of divergence might vary among genomic regions due to, among others, the different forces and roles of selection played by the shared regions. Through hybrid capture, we sequenced ca. 4,000 nuclear regions in populations of six species of wax palms, five of which form a monophyletic group (genus Ceroxylon, Arecaceae: Ceroxyloideae). We show that in this group, the different populations show varying degrees of introgressive hybridization, and two of them are backcrosses of the other three 'pure' species. This is particularly interesting because these three species are dioecious, have a shared main pollinator, and have slightly overlapping reproductive seasons but highly divergent morphologies. Our work supports shows wax palms diverge under positive and background selection in allopatry, and hybridize due to secondary contact and inefficient reproductive barriers, which sustain genetic diversity. Introgressed regions are generally not under positive selection. Peripheral populations are backcrosses of other species; thus, introgressive hybridization is likely modulated by demographic effects rather than selective pressures. In general, these species might function as an 'evolutionary syngameon' where expanding, peripheral, small, and isolated populations maintain diversity by crossing with available individuals of other wax palms. In the Andean context, species can benefit from gained variation from a second taxon or the enhancement of population sizes by recreating a common genetic pool.
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Affiliation(s)
| | - María José Sanín
- School of Mathematical and Natural Sciences, Arizona State University, West Valley Campus, Glendale, United States.
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4
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Selmoni O, Bay LK, Exposito-Alonso M, Cleves PA. Finding genes and pathways that underlie coral adaptation. Trends Genet 2024; 40:213-227. [PMID: 38320882 DOI: 10.1016/j.tig.2024.01.003] [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: 10/09/2023] [Revised: 01/08/2024] [Accepted: 01/10/2024] [Indexed: 02/08/2024]
Abstract
Mass coral bleaching is one of the clearest threats of climate change to the persistence of marine biodiversity. Despite the negative impacts of bleaching on coral health and survival, some corals may be able to rapidly adapt to warming ocean temperatures. Thus, a significant focus in coral research is identifying the genes and pathways underlying coral heat adaptation. Here, we review state-of-the-art methods that may enable the discovery of heat-adaptive loci in corals and identify four main knowledge gaps. To fill these gaps, we describe an experimental approach combining seascape genomics with CRISPR/Cas9 gene editing to discover and validate heat-adaptive loci. Finally, we discuss how information on adaptive genotypes could be used in coral reef conservation and management strategies.
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Affiliation(s)
- Oliver Selmoni
- Department of Embryology, Carnegie Institution for Science, Baltimore, MD 21218, USA; Department of Plant Biology, Carnegie Institution for Science, Stanford, CA 94305, USA.
| | - Line K Bay
- Reef Recovery, Adaptation, and Restoration, Australian Institute of Marine Science; Townsville, QLD 4810, Australia
| | - Moises Exposito-Alonso
- Department of Plant Biology, Carnegie Institution for Science, Stanford, CA 94305, USA; Department of Biology, Stanford University, Stanford, CA 94305, USA; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, USA.
| | - Phillip A Cleves
- Department of Embryology, Carnegie Institution for Science, Baltimore, MD 21218, USA; Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA.
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5
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Beer MA, Proft KM, Veillet A, Kozakiewicz CP, Hamilton DG, Hamede R, McCallum H, Hohenlohe PA, Burridge CP, Margres MJ, Jones ME, Storfer A. Disease-driven top predator decline affects mesopredator population genomic structure. Nat Ecol Evol 2024; 8:293-303. [PMID: 38191839 DOI: 10.1038/s41559-023-02265-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 11/02/2023] [Indexed: 01/10/2024]
Abstract
Top predator declines are pervasive and often have dramatic effects on ecological communities via changes in food web dynamics, but their evolutionary consequences are virtually unknown. Tasmania's top terrestrial predator, the Tasmanian devil, is declining due to a lethal transmissible cancer. Spotted-tailed quolls benefit via mesopredator release, and they alter their behaviour and resource use concomitant with devil declines and increased disease duration. Here, using a landscape community genomics framework to identify environmental drivers of population genomic structure and signatures of selection, we show that these biotic factors are consistently among the top variables explaining genomic structure of the quoll. Landscape resistance negatively correlates with devil density, suggesting that devil declines will increase quoll genetic subdivision over time, despite no change in quoll densities detected by camera trap studies. Devil density also contributes to signatures of selection in the quoll genome, including genes associated with muscle development and locomotion. Our results provide some of the first evidence of the evolutionary impacts of competition between a top predator and a mesopredator species in the context of a trophic cascade. As top predator declines are increasing globally, our framework can serve as a model for future studies of evolutionary impacts of altered ecological interactions.
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Affiliation(s)
- Marc A Beer
- School of Biological Sciences, Washington State University, Pullman, WA, USA
| | - Kirstin M Proft
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia
| | - Anne Veillet
- Hilo Core Genomics Facility, University of Hawaii at Hilo, Hilo, HI, USA
| | - Christopher P Kozakiewicz
- Department of Integrative Biology, Michigan State University, W.K. Kellogg Biological Station, Hickory Corners, MI, USA
| | - David G Hamilton
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia
| | - Rodrigo Hamede
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia
- CANECEV, Centre de Recherches Ecologiques et Evolutives sur le Cancer, Montpellier, France
| | - Hamish McCallum
- Environmental Futures Research Institute, Griffith University, Nathan, Queensland, Australia
| | - Paul A Hohenlohe
- Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID, USA
| | | | - Mark J Margres
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA
| | - Menna E Jones
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia
| | - Andrew Storfer
- School of Biological Sciences, Washington State University, Pullman, WA, USA.
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6
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Hipp AL, Lazic D. Ancient tree genomes for old questions. Mol Ecol 2024; 33:e17259. [PMID: 38179684 DOI: 10.1111/mec.17259] [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: 09/21/2023] [Revised: 11/19/2023] [Accepted: 12/19/2023] [Indexed: 01/06/2024]
Abstract
Most foundational work on the evolution and migration of plant species relies on genomic data from contemporary samples. Ancient plant samples can give us access to allele sequences and distributions on the landscape dating back to the mid Holocene or earlier (Gugerli et al., 2005). Nuclear DNA from ancient wood, however, has been mostly inaccessible until now. In a From the Cover article in this issue of Molecular Ecology, Wagner et al. (2023) present the first resequenced nuclear genomes from ancient oak wood, including two samples dated to the 15th century and one that dates to more than 3500 years ago. These ancient tree genomes open the possibility for investigating species adaptation, migration, divergence, and hybridisation in the deep past. They pave the way for what we hope will be a new era in the use of paleogenomics to study Holocene tree histories.
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Affiliation(s)
- Andrew L Hipp
- Herbarium and Center for Tree Science, The Morton Arboretum, Lisle, Illinois, USA
- Botany Department, The Field Museum, Chicago, Illinois, USA
| | - Desanka Lazic
- Department of Forest Genetics and Forest Tree Breeding, University of Göttingen, Göttingen, Germany
- Thünen Institute of Forest Genetics, Grosshansdorf, Germany
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7
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Willis S, Coykendall DK, Campbell MR, Narum S. Contrasting patterns of sequence variation in steelhead populations reflect distinct evolutionary processes. Evol Appl 2024; 17:e13623. [PMID: 38283605 PMCID: PMC10810252 DOI: 10.1111/eva.13623] [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: 09/16/2022] [Revised: 10/24/2023] [Accepted: 11/10/2023] [Indexed: 01/30/2024] Open
Abstract
Multiple evolutionary processes influence genome-wide allele frequencies and quantifying effects of genetic drift, and multiple forms of selection remain challenging in natural populations. Here, we investigate variation at major effect loci in contrast to patterns of neutral drift across a wide collection of steelhead (Oncorhynchus mykiss) populations that have declined in abundance due to anthropogenic impacts. Whole-genome resequencing of 74 populations of steelhead revealed genome-wide patterns (~8 million SNPs) consistent with expected neutral population structure. However, allelic variation at major effect loci associated with adult migration timing (chromosome 28: GREB1L/ROCK1) and age at maturity (chromosome 25: SIX6) reflected how selection has acted on phenotypic variation in contrast with neutral structure. Variation at major effect loci was influenced by evolutionary processes with differing signals between the strongly divergent Coastal and Inland lineages, while allele frequencies within and among populations within the Inland lineage have been driven by local natural selection as well as recent anthropogenic influences. Recent anthropogenic effects appeared to have influenced the frequency of major effect alleles including artificial selection for specific traits in hatchery stocks with subsequent gene flow into natural populations. Selection from environmental factors at various scales has also likely influenced variation for major effect alleles. These results reveal evolutionary mechanisms that influence allele frequencies at major effect loci that are critical for conservation of phenotypic traits and life history variation of this protected species.
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Affiliation(s)
- Stuart Willis
- Hagerman Genetics LabColumbia River Inter‐Tribal Fish CommissionHagermanIdahoUSA
| | | | | | - Shawn Narum
- Hagerman Genetics LabColumbia River Inter‐Tribal Fish CommissionHagermanIdahoUSA
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8
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Hoste A, Capblancq T, Broquet T, Denoyelle L, Perrier C, Buzan E, Šprem N, Corlatti L, Crestanello B, Hauffe HC, Pellissier L, Yannic G. Projection of current and future distribution of adaptive genetic units in an alpine ungulate. Heredity (Edinb) 2024; 132:54-66. [PMID: 38082151 PMCID: PMC10798982 DOI: 10.1038/s41437-023-00661-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 10/31/2023] [Accepted: 10/31/2023] [Indexed: 01/21/2024] Open
Abstract
Climate projections predict major changes in alpine environments by the end of the 21st century. To avoid climate-induced maladaptation and extinction, many animal populations will either need to move to more suitable habitats or adapt in situ to novel conditions. Since populations of a species exhibit genetic variation related to local adaptation, it is important to incorporate this variation into predictive models to help assess the ability of the species to survive climate change. Here, we evaluate how the adaptive genetic variation of a mountain ungulate-the Northern chamois (Rupicapra rupicapra)-could be impacted by future global warming. Based on genotype-environment association analyses of 429 chamois using a ddRAD sequencing approach, we identified genetic variation associated with climatic gradients across the European Alps. We then delineated adaptive genetic units and projected the optimal distribution of these adaptive groups in the future. Our results suggest the presence of local adaptation to climate in Northern chamois with similar genetic adaptive responses in geographically distant but climatically similar populations. Furthermore, our results predict that future climatic changes will modify the Northern chamois adaptive landscape considerably, with various degrees of maladaptation risk.
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Affiliation(s)
- Amélie Hoste
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, 38000, Grenoble, France
| | - Thibaut Capblancq
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, 38000, Grenoble, France
- Department of Plant Biology, University of Vermont, Burlington, VT, 05405, USA
| | - Thomas Broquet
- CNRS, Sorbonne Université, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680, Roscoff, France
| | - Laure Denoyelle
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, 38000, Grenoble, France
| | - Charles Perrier
- UMR CBGP, INRAE, CIRAD, IRD, Institut Agro, Université Montpellier, Montpellier, France
| | - Elena Buzan
- Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Glagoljaška 8, 6000, Koper, Slovenia
- Faculty of Environmental Protection, Trg mladosti 7, 3320, Velenje, Slovenia
| | - Nikica Šprem
- Department of Fisheries, Apiculture, Wildlife Management and Special Zoology, Faculty of Agriculture, University of Zagreb, Svetošimunska 25, 10000, Zagreb, Croatia
| | - Luca Corlatti
- Stelvio National Park - ERSAF Lombardia, Via De Simoni 42, 23032, Bormio, Italy
- Chair of Wildlife Ecology and Management, University of Freiburg, Tennenbacher Straße 4, 79106, Freiburg, Germany
| | - Barbara Crestanello
- Conservation Genomics Unit, Research and Innovation Centre, Fondazione E. Mach, Via E. Mach 1, 38098 S, Michele all'Adige, TN, Italy
| | - Heidi Christine Hauffe
- Conservation Genomics Unit, Research and Innovation Centre, Fondazione E. Mach, Via E. Mach 1, 38098 S, Michele all'Adige, TN, Italy
| | - Loïc Pellissier
- Landscape Ecology, Department of Environmental Systems Science, Institute of Terrestrial Ecosystems, ETH Zrich, Zurich, Switzerland
- Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland
| | - Glenn Yannic
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, 38000, Grenoble, France.
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9
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Delomas TA, Willis SC. Estimating microhaplotype allele frequencies from low-coverage or pooled sequencing data. BMC Bioinformatics 2023; 24:415. [PMID: 37923981 PMCID: PMC10623847 DOI: 10.1186/s12859-023-05554-z] [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: 07/25/2022] [Accepted: 10/30/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND Microhaplotypes have the potential to be more cost-effective than SNPs for applications that require genetic panels of highly variable loci. However, development of microhaplotype panels is hindered by a lack of methods for estimating microhaplotype allele frequency from low-coverage whole genome sequencing or pooled sequencing (pool-seq) data. RESULTS We developed new methods for estimating microhaplotype allele frequency from low-coverage whole genome sequence and pool-seq data. We validated these methods using datasets from three non-model organisms. These methods allowed estimation of allele frequency and expected heterozygosity at depths routinely achieved from pooled sequencing. CONCLUSIONS These new methods will allow microhaplotype panels to be designed using low-coverage WGS and pool-seq data to discover and evaluate candidate loci. The python script implementing the two methods and documentation are available at https://www.github.com/delomast/mhFromLowDepSeq .
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Affiliation(s)
- Thomas A Delomas
- Agricultural Research Service, United States Department of Agriculture, National Cold Water Marine Aquaculture Center, 483 CBLS, 120 Flagg Road, Kingston, RI, 02881, USA.
| | - Stuart C Willis
- Hagerman Genetics Laboratory, Columbia River Inter-Tribal Fish Commission, Hagerman, ID, USA
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10
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Sherpa S, Paris JR, Silva‐Rocha I, Di Canio V, Carretero MA, Ficetola GF, Salvi D. Genetic depletion does not prevent rapid evolution in island-introduced lizards. Ecol Evol 2023; 13:e10721. [PMID: 38034325 PMCID: PMC10682264 DOI: 10.1002/ece3.10721] [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: 07/14/2023] [Revised: 10/02/2023] [Accepted: 10/23/2023] [Indexed: 12/02/2023] Open
Abstract
Experimental introductions of species have provided some of the most tractable examples of rapid phenotypic changes, which may reflect plasticity, the impact of stochastic processes, or the action of natural selection. Yet to date, very few studies have investigated the neutral and potentially adaptive genetic impacts of experimental introductions. We dissect the role of these processes in shaping the population differentiation of wall lizards in three Croatian islands (Sušac, Pod Kopište, and Pod Mrčaru), including the islet of Pod Mrčaru, where experimentally introduced lizards underwent rapid (~30 generations) phenotypic changes associated with a shift from an insectivorous to a plant-based diet. Using a genomic approach (~82,000 ddRAD loci), we confirmed a founder effect during introduction and very low neutral genetic differentiation between the introduced population and its source. However, genetic depletion did not prevent rapid population growth, as the introduced lizards exhibited population genetic signals of expansion and are known to have reached a high density. Our genome-scan analysis identified just a handful of loci showing large allelic shifts between ecologically divergent populations. This low overall signal of selection suggests that the extreme phenotypic differences observed among populations are determined by a small number of large-effect loci and/or that phenotypic plasticity plays a major role in phenotypic changes. Nonetheless, functional annotation of the outlier loci revealed some candidate genes relevant to diet-induced adaptation, in agreement with the hypothesis of directional selection. Our study provides important insights on the evolutionary potential of bottlenecked populations in response to new selective pressures on short ecological timescales.
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Affiliation(s)
- Stéphanie Sherpa
- Dipartimento di Scienze e Politiche AmbientaliUniversità degli Studi di MilanoMilanoItaly
| | - Josephine R. Paris
- Dipartimento di Medicina Clinica, Sanità Pubblica, Scienze della Vita e dell'AmbienteUniversità degli Studi dell'AquilaL'Aquila‐CoppitoItaly
| | - Iolanda Silva‐Rocha
- Centro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO), InBIO Laboratório AssociadoUniversidade do PortoVairãoPortugal
- BIOPOLIS Program in Genomics, Biodiversity and Land PlanningCIBIOVairãoPortugal
| | - Viola Di Canio
- Dipartimento di Scienze e Politiche AmbientaliUniversità degli Studi di MilanoMilanoItaly
| | - Miguel Angel Carretero
- Centro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO), InBIO Laboratório AssociadoUniversidade do PortoVairãoPortugal
- BIOPOLIS Program in Genomics, Biodiversity and Land PlanningCIBIOVairãoPortugal
- Departamento de Biologia, Faculdade de CiênciasUniversidade do PortoPortoPortugal
| | | | - Daniele Salvi
- Dipartimento di Medicina Clinica, Sanità Pubblica, Scienze della Vita e dell'AmbienteUniversità degli Studi dell'AquilaL'Aquila‐CoppitoItaly
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11
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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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12
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Babik W, Dudek K, Marszałek M, Palomar G, Antunes B, Sniegula S. The genomic response to urbanization in the damselfly Ischnura elegans. Evol Appl 2023; 16:1805-1818. [PMID: 38029064 PMCID: PMC10681423 DOI: 10.1111/eva.13603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 09/19/2023] [Indexed: 12/01/2023] Open
Abstract
The complex and rapid environmental changes brought about by urbanization pose significant challenges to organisms. The multifaceted effects of urbanization often make it difficult to define and pinpoint the very nature of adaptive urban phenotypes. In such situations, scanning genomes for regions differentiated between urban and non-urban populations may be an attractive approach. Here, we investigated the genomic signatures of adaptation to urbanization in the damselfly Ischnura elegans sampled from 31 rural and urban localities in three geographic regions: southern and northern Poland, and southern Sweden. Genome-wide variation was assessed using more than 370,000 single nucleotide polymorphisms (SNPs) genotyped by ddRADseq. Associations between SNPs and the level of urbanization were tested using two genetic environment association methods: Latent Factors Mixed Models and BayPass. While we found numerous candidate SNPs and a highly significant overlap between candidates identified by the two methods within the geographic regions, there was a distinctive lack of repeatability between the geographic regions both at the level of individual SNPs and of genomic regions. However, we found "synapse organization" at the top of the functional categories enriched among the genes located in the proximity of the candidate urbanization SNPs. Interestingly, the overall significance of "synapse organization" was built up by the accretion of different genes associated with candidate SNPs in different geographic regions. This finding is consistent with the highly polygenic nature of adaptation, where the response may be achieved through a subtle adjustment of allele frequencies in different genes that contribute to adaptive phenotypes. Taken together, our results point to a polygenic adaptive response in the nervous system, specifically implicating genes involved in synapse organization, which mirrors the findings from several genomic and behavioral studies of adaptation to urbanization in other taxa.
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Affiliation(s)
- W. Babik
- Faculty of Biology, Institute of Environmental SciencesJagiellonian UniversityKrakówPoland
| | - K. Dudek
- Faculty of Biology, Institute of Environmental SciencesJagiellonian UniversityKrakówPoland
| | - M. Marszałek
- Faculty of Biology, Institute of Environmental SciencesJagiellonian UniversityKrakówPoland
| | - G. Palomar
- Faculty of Biology, Institute of Environmental SciencesJagiellonian UniversityKrakówPoland
- Department of Genetics, Physiology and Microbiology, Faculty of Biological SciencesComplutense University of MadridMadridSpain
| | - B. Antunes
- Faculty of Biology, Institute of Environmental SciencesJagiellonian UniversityKrakówPoland
| | - S. Sniegula
- Department of Ecosystem Conservation, Institute of Nature ConservationPolish Academy of SciencesKrakówPoland
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13
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Brown RP, Sun H, Jin Y, Meloro C. Habitat-associated Genomic Variation in a Wall Lizard from an Oceanic Island. Genome Biol Evol 2023; 15:evad193. [PMID: 37862140 PMCID: PMC10637050 DOI: 10.1093/gbe/evad193] [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: 06/08/2023] [Revised: 08/30/2023] [Accepted: 10/02/2023] [Indexed: 10/22/2023] Open
Abstract
The lizard Teira dugesii exhibits morphological divergence between beach and inland habitats in the face of gene flow, within the volcanic island of Madeira, Portugal. Here, we analyzed genomic data obtained by genotyping-by-sequencing, which provided 16,378 single nucleotide polymorphisms (SNPs) from 94 individuals sampled from 15 sites across Madeira. Ancient within-island divergence in allopatry appears to have mediated divergence in similar species within other Atlantic islands, but this hypothesis was not supported for T. dugesii. Across all samples, a total of 168 SNPs were classified as statistical outliers using pcadapt and OutFLANK. Redundancy analysis (RDA) revealed that 17 of these outliers were associated with beach/inland habitats. The SNPs were located within 16 sequence tags and 15 of these were homologous with sequences in a 31 Mb region on chromosome 3 of a reference wall lizard genome (the remaining tag could not be associated with any chromosome). We further investigated outliers through contingency analyses of allele frequencies at each of four pairs of adjacent beach-inland sites. The majority of the outliers detected by the RDA were confirmed at two pairs of these matched sites. These analyses also suggested some parallel divergence at different localities. Six other outliers were associated with site elevation, four of which were located on chromosome 5 of the reference genome. Our study lends support to a previous hypothesis that divergent selection between gray shingle beaches and inland regions overcomes gene flow and leads to the observed morphological divergence between populations in these adjacent habitats.
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Affiliation(s)
- Richard P Brown
- College of Life Sciences, China Jiliang University, Hangzhou, P.R. China
- School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, United Kingdom
| | - Hui Sun
- College of Life Sciences, China Jiliang University, Hangzhou, P.R. China
| | - Yuanting Jin
- College of Life Sciences, China Jiliang University, Hangzhou, P.R. China
| | - Carlo Meloro
- School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, United Kingdom
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14
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Pita-Aquino JN, Bock DG, Baeckens S, Losos JB, Kolbe JJ. Stronger evidence for genetic ancestry than environmental conditions in shaping the evolution of a complex signalling trait during biological invasion. Mol Ecol 2023; 32:5558-5574. [PMID: 37698063 DOI: 10.1111/mec.17123] [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: 07/25/2022] [Accepted: 08/17/2023] [Indexed: 09/13/2023]
Abstract
Introductions of invasive species to new environments often result in rapid rates of trait evolution. While in some cases these evolutionary transitions are adaptive and driven by natural selection, they can also result from patterns of genetic and phenotypic variation associated with the invasion history. Here, we examined the brown anole (Anolis sagrei), a widespread invasive lizard for which genetic data have helped trace the sources of non-native populations. We focused on the dewlap, a complex signalling trait known to be subject to multiple selective pressures. We measured dewlap reflectance, pattern and size in 30 non-native populations across the southeastern United States. As well, we quantified environmental variables known to influence dewlap signal effectiveness, such as canopy openness. Further, we used genome-wide data to estimate genetic ancestry, perform association mapping and test for signatures of selection. We found that among-population variation in dewlap characteristics was best explained by genetic ancestry. This result was supported by genome-wide association mapping, which identified several ancestry-specific loci associated with dewlap traits. Despite the strong imprint of this aspect of the invasion history on dewlap variation, we also detected significant relationships between dewlap traits and local environmental conditions. However, we found limited evidence that dewlap-associated genetic variants have been subject to selection. Our study emphasizes the importance of genetic ancestry and admixture in shaping phenotypes during biological invasion, while leaving the role of selection unresolved, likely due to the polygenic genetic architecture of dewlaps and selection acting on many genes of small effect.
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Affiliation(s)
- Jessica N Pita-Aquino
- Department of Biological Sciences, University of Rhode Island, Kingston, Rhode Island, USA
| | - Dan G Bock
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Simon Baeckens
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
| | - Jonathan B Losos
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Jason J Kolbe
- Department of Biological Sciences, University of Rhode Island, Kingston, Rhode Island, USA
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15
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Martchenko D, Shafer ABA. Contrasting whole-genome and reduced representation sequencing for population demographic and adaptive inference: an alpine mammal case study. Heredity (Edinb) 2023; 131:273-281. [PMID: 37532838 PMCID: PMC10539292 DOI: 10.1038/s41437-023-00643-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 07/22/2023] [Accepted: 07/22/2023] [Indexed: 08/04/2023] Open
Abstract
Genomes capture the adaptive and demographic history of a species, but the choice of sequencing strategy and sample size can impact such inferences. We compared whole genome and reduced representation sequencing approaches to study the population demographic and adaptive signals of the North American mountain goat (Oreamnos americanus). We applied the restriction site-associated DNA sequencing (RADseq) approach to 254 individuals and whole genome resequencing (WGS) approach to 35 individuals across the species range at mid-level coverage (9X) and to 5 individuals at high coverage (30X). We used ANGSD to estimate the genotype likelihoods and estimated the effective population size (Ne), population structure, and explicitly modelled the demographic history with δaδi and MSMC2. The data sets were overall concordant in supporting a glacial induced vicariance and extremely low Ne in mountain goats. We evaluated a set of climatic variables and geographic location as predictors of genetic diversity using redundancy analysis. A moderate proportion of total variance (36% for WGS and 21% for RADseq data sets) was explained by geography and climate variables; both data sets support a large impact of drift and some degree of local adaptation. The empirical similarities of WGS and RADseq presented herein reassuringly suggest that both approaches will recover large demographic and adaptive signals in a population; however, WGS offers several advantages over RADseq, such as inferring adaptive processes and calculating runs-of-homozygosity estimates. Considering the predicted climate-induced changes in alpine environments and the genetically depauperate mountain goat, the long-term adaptive capabilities of this enigmatic species are questionable.
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Affiliation(s)
- Daria Martchenko
- Environmental and Life Sciences Graduate Program, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada.
| | - Aaron B A Shafer
- Environmental and Life Sciences Graduate Program, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada
- Department of Forensics & Environmental and Life Sciences Graduate Program, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada
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16
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Montanari S, Deng C, Koot E, Bassil NV, Zurn JD, Morrison-Whittle P, Worthington ML, Aryal R, Ashrafi H, Pradelles J, Wellenreuther M, Chagné D. A multiplexed plant-animal SNP array for selective breeding and species conservation applications. G3 (BETHESDA, MD.) 2023; 13:jkad170. [PMID: 37565490 PMCID: PMC10542201 DOI: 10.1093/g3journal/jkad170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/15/2023] [Accepted: 06/30/2023] [Indexed: 08/12/2023]
Abstract
Reliable and high-throughput genotyping platforms are of immense importance for identifying and dissecting genomic regions controlling important phenotypes, supporting selection processes in breeding programs, and managing wild populations and germplasm collections. Amongst available genotyping tools, single nucleotide polymorphism arrays have been shown to be comparatively easy to use and generate highly accurate genotypic data. Single-species arrays are the most commonly used type so far; however, some multi-species arrays have been developed for closely related species that share single nucleotide polymorphism markers, exploiting inter-species cross-amplification. In this study, the suitability of a multiplexed plant-animal single nucleotide polymorphism array, including both closely and distantly related species, was explored. The performance of the single nucleotide polymorphism array across species for diverse applications, ranging from intra-species diversity assessments to parentage analysis, was assessed. Moreover, the value of genotyping pooled DNA of distantly related species on the single nucleotide polymorphism array as a technique to further reduce costs was evaluated. Single nucleotide polymorphism performance was generally high, and species-specific single nucleotide polymorphisms proved suitable for diverse applications. The multi-species single nucleotide polymorphism array approach reported here could be transferred to other species to achieve cost savings resulting from the increased throughput when several projects use the same array, and the pooling technique adds another highly promising advancement to additionally decrease genotyping costs by half.
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Affiliation(s)
- Sara Montanari
- The New Zealand Institute for Plant and Food Research Ltd, Motueka 7198, New Zealand
| | - Cecilia Deng
- The New Zealand Institute for Plant and Food Research Ltd, Auckland 1025, New Zealand
| | - Emily Koot
- The New Zealand Institute for Plant and Food Research Ltd, Palmerston North 4410, New Zealand
| | - Nahla V Bassil
- USDA-ARS National Clonal Germplasm Repository, Corvallis, OR 97333, USA
| | - Jason D Zurn
- Department of Plant Pathology, Kansas State University, Manhattan, KS 66506, USA
| | | | | | - Rishi Aryal
- Department of Horticultural Science, North Carolina State University, Raleigh, NC 27695, USA
| | - Hamid Ashrafi
- Department of Horticultural Science, North Carolina State University, Raleigh, NC 27695, USA
| | | | - Maren Wellenreuther
- The New Zealand Institute for Plant and Food Research Ltd, Nelson 7010, New Zealand
- School of Biological Sciences, University of Auckland, Auckland 1010, New Zealand
| | - David Chagné
- The New Zealand Institute for Plant and Food Research Ltd, Palmerston North 4410, New Zealand
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17
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Hirschfeld M, Barnett A, Sheaves M, Dudgeon C. What Darwin could not see: island formation and historical sea levels shape genetic divergence and island biogeography in a coastal marine species. Heredity (Edinb) 2023; 131:189-200. [PMID: 37400518 PMCID: PMC10462691 DOI: 10.1038/s41437-023-00635-4] [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: 08/28/2022] [Revised: 06/12/2023] [Accepted: 06/13/2023] [Indexed: 07/05/2023] Open
Abstract
Oceanic islands play a central role in the study of evolution and island biogeography. The Galapagos Islands are one of the most studied oceanic archipelagos but research has almost exclusively focused on terrestrial organisms compared to marine species. Here we used the Galapagos bullhead shark (Heterodontus quoyi) and single nucleotide polymorphisms (SNPs) to examine evolutionary processes and their consequences for genetic divergence and island biogeography in a shallow-water marine species without larval dispersal. The sequential separation of individual islands from a central island cluster gradually established different ocean depths between islands that pose barriers to dispersal in H. quoyi. Isolation by resistance analysis suggested that ocean bathymetry and historical sea level fluctuations modified genetic connectivity. These processes resulted in at least three genetic clusters that exhibit low genetic diversity and effective population sizes that scale with island size and the level of geographic isolation. Our results exemplify that island formation and climatic cycles shape genetic divergence and biogeography of coastal marine organisms with limited dispersal comparable to terrestrial taxa. Because similar scenarios exist in oceanic islands around the globe our research provides a new perspective on marine evolution and biogeography with implications for the conservation of island biodiversity.
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Affiliation(s)
- Maximilian Hirschfeld
- College of Science and Engineering, James Cook University, Townsville, Queensland, Australia.
- Galápagos Science Center, Universidad San Francisco de Quito, Isla San Cristóbal, Galápagos, Ecuador.
| | - Adam Barnett
- College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
- Marine Data Technology Hub, James Cook University, Townsville, Queensland, Australia
- Biopixel Oceans Foundation, Cairns, Queensland, Australia
| | - Marcus Sheaves
- College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
- Marine Data Technology Hub, James Cook University, Townsville, Queensland, Australia
| | - Christine Dudgeon
- Biopixel Oceans Foundation, Cairns, Queensland, Australia
- School of Biomedical Sciences, The University of Queensland, Saint Lucia, Queensland, Australia
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18
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Watowich MM, Chiou KL, Graves B, tague MJM, Brent LJ, Higham JP, Horvath JE, Lu A, Martinez MI, Platt ML, Schneider-Crease IA, Lea AJ, Snyder-Mackler N. Best practices for genotype imputation from low-coverage sequencing data in natural populations. Mol Ecol Resour 2023:10.1111/1755-0998.13854. [PMID: 37602981 PMCID: PMC10879460 DOI: 10.1111/1755-0998.13854] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 07/01/2023] [Accepted: 07/31/2023] [Indexed: 08/22/2023]
Abstract
Monitoring genetic diversity in wild populations is a central goal of ecological and evolutionary genetics and is critical for conservation biology. However, genetic studies of nonmodel organisms generally lack access to species-specific genotyping methods (e.g. array-based genotyping) and must instead use sequencing-based approaches. Although costs are decreasing, high-coverage whole-genome sequencing (WGS), which produces the highest confidence genotypes, remains expensive. More economical reduced representation sequencing approaches fail to capture much of the genome, which can hinder downstream inference. Low-coverage WGS combined with imputation using a high-confidence reference panel is a cost-effective alternative, but the accuracy of genotyping using low-coverage WGS and imputation in nonmodel populations is still largely uncharacterized. Here, we empirically tested the accuracy of low-coverage sequencing (0.1-10×) and imputation in two natural populations, one with a large (n = 741) reference panel, rhesus macaques (Macaca mulatta), and one with a smaller (n = 68) reference panel, gelada monkeys (Theropithecus gelada). Using samples sequenced to coverage as low as 0.5×, we could impute genotypes at >95% of the sites in the reference panel with high accuracy (median r2 ≥ 0.92). We show that low-coverage imputed genotypes can reliably calculate genetic relatedness and population structure. Based on these data, we also provide best practices and recommendations for researchers who wish to deploy this approach in other populations, with all code available on GitHub (https://github.com/mwatowich/LoCSI-for-non-model-species). Our results endorse accurate and effective genotype imputation from low-coverage sequencing, enabling the cost-effective generation of population-scale genetic datasets necessary for tackling many pressing challenges of wildlife conservation.
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Affiliation(s)
- Marina M. Watowich
- Department of Biology, University of Washington; Seattle, WA, 98195 USA
- Department of Biological Sciences, Vanderbilt University; Nashville, TN, 37235
| | - Kenneth L. Chiou
- Center for Evolution and Medicine, Arizona State University; Tempe, AZ, 85281 USA
- School of Life Sciences, Arizona State University; Tempe, AZ, 85281 USA
| | - Brian Graves
- Program in Ecology, Evolution, and Conservation Biology, University of Illinois at Urbana-Champaign; Urbana, IL 61801
| | - Michael J. Mon tague
- Department of Neuroscience, Perelman School of Medicine; University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Lauren J.N. Brent
- Centre for Research in Animal Behaviour, University of Exeter; Exeter EX4 4QG, UK
| | - James P. Higham
- Department of Anthropology, New York University; New York, NY 10003, USA
- New York Consortium in Evolutionary Primatology; New York, NY, 10016 USA
| | - Julie E. Horvath
- Department of Biological and Biomedical Sciences, North Carolina Central University; Durham, NC 27707, USA
- Research and Collections Section, North Carolina Museum of Natural Sciences; Raleigh, NC 27601, USA
- Department of Biological Sciences, North Carolina State University; Raleigh, NC 27695, USA
- Department of Evolutionary Anthropology, Duke University; Durham, NC 27708, USA
| | - Amy Lu
- Department of Anthropology, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Melween I. Martinez
- Caribbean Primate Research Center, Unit of Comparative Medicine, University of Puerto Rico; San Juan, PR 00936, USA
| | - Michael L. Platt
- Department of Neuroscience, Perelman School of Medicine; University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychology, School of Arts and Sciences; University of Pennsylvania, Philadelphia, PA 19104, USA
- Marketing Department, Wharton School of Business; University of Pennsylvania, Philadelphia, PA 19104, USA
| | - India A. Schneider-Crease
- Center for Evolution and Medicine, Arizona State University; Tempe, AZ, 85281 USA
- School of Life Sciences, Arizona State University; Tempe, AZ, 85281 USA
- School of Human Evolution and Social Change, Arizona State University; Tempe, AZ, 85281 USA
| | - Amanda J. Lea
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, 37235, USA
- Child and Brain Development, Canadian Institute for Advanced Research, Toronto, Canada
| | - Noah Snyder-Mackler
- Center for Evolution and Medicine, Arizona State University; Tempe, AZ, 85281 USA
- School of Life Sciences, Arizona State University; Tempe, AZ, 85281 USA
- School of Human Evolution and Social Change, Arizona State University; Tempe, AZ, 85281 USA
- Neurodegenerative Disease Research Center, Arizona State University; Tempe, AZ, 85281 USA
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19
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de Oliveira DA, da Silva PHM, Novaes E, Grattapaglia D. Genome-wide analysis highlights genetic admixture in exotic germplasm resources of Eucalyptus and unexpected ancestral genomic composition of interspecific hybrids. PLoS One 2023; 18:e0289536. [PMID: 37552668 PMCID: PMC10409294 DOI: 10.1371/journal.pone.0289536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 07/20/2023] [Indexed: 08/10/2023] Open
Abstract
Eucalyptus is an economically important genus comprising more than 890 species in different subgenera and sections. Approximately twenty species of subgenus Symphyomyrtus account for 95% of the world's planted eucalypts. Discrimination of closely related eucalypt taxa is challenging, consistent with their recent phylogenetic divergence and occasional hybridization in nature. Admixture, misclassification or mislabeling of Eucalyptus germplasm resources maintained as exotics have been suggested, although no reports are available. Moreover, hybrids with increased productivity and traits complementarity are planted worldwide, but little is known about their actual genomic ancestry. In this study we examined a set of 440 trees of 16 different Eucalyptus species and 44 interspecific hybrids of multi-species origin conserved in germplasm banks in Brazil. We used genome-wide SNP data to evaluate the agreement between the alleged phylogenetic classification of species and provenances as registered in their historical records, and their observed genetic clustering derived from SNP data. Genetic structure analyses correctly assigned each of the 16 species to a different cluster although the PCA positioning of E. longirostrata was inconsistent with its current taxonomy. Admixture was present for closely related species' materials derived from local germplasm banks, indicating unintended hybridization following germplasm introduction. Provenances could be discriminated for some species, indicating that SNP-based discrimination was directly proportional to geographical distance, consistent with an isolation-by-distance model. SNP-based genomic ancestry analysis showed that the majority of the hybrids displayed realized genomic composition deviating from the expected ones based on their pedigree records, consistent with admixture in their parents and pervasive genome-wide directional selection toward the fast-growing E. grandis genome. SNP data in support of tree breeding provide precise germplasm identity verification, and allow breeders to objectively recognize the actual ancestral origin of superior hybrids to more realistically guide the program toward the development of the desired genetic combinations.
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Affiliation(s)
| | | | - Evandro Novaes
- Departamento de Biologia, Universidade Federal de Lavras, Lavras, MG, Brazil
| | - Dario Grattapaglia
- Plant Genetics Laboratory, EMBRAPA Genetic Resources and Biotechnology, Brasilia, DF, Brazil
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20
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Lavretsky P, Mohl JE, Söderquist P, Kraus RHS, Schummer ML, Brown JI. The meaning of wild: Genetic and adaptive consequences from large-scale releases of domestic mallards. Commun Biol 2023; 6:819. [PMID: 37543640 PMCID: PMC10404241 DOI: 10.1038/s42003-023-05170-w] [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: 10/25/2022] [Accepted: 07/24/2023] [Indexed: 08/07/2023] Open
Abstract
The translocation of individuals around the world is leading to rising incidences of anthropogenic hybridization, particularly between domestic and wild congeners. We apply a landscape genomics approach for thousands of mallard (Anas platyrhynchos) samples across continental and island populations to determine the result of over a century of supplementation practices. We establish that a single domestic game-farm mallard breed is the source for contemporary release programs in Eurasia and North America, as well as for established feral populations in New Zealand and Hawaii. In particular, we identify central Europe and eastern North America as epicenters of ongoing anthropogenic hybridization, and conclude that the release of game-farm mallards continues to affect the genetic integrity of wild mallards. Conversely, self-sustaining feral populations in New Zealand and Hawaii not only show strong differentiation from their original stock, but also signatures of local adaptation occurring in less than a half-century since game-farm mallard releases have ceased. We conclude that 'wild' is not singular, and that even feral populations are capable of responding to natural processes. Although considered paradoxical to biological conservation, understanding the capacity for wildness among feral and feral admixed populations in human landscapes is critical as such interactions increase in the Anthropocene.
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Affiliation(s)
- Philip Lavretsky
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, 79668, USA.
| | - Jonathon E Mohl
- Department of Mathematical Sciences, University of Texas at El Paso, El Paso, TX, 79668, USA
| | - Pär Söderquist
- Faculty of Natural Sciences, Kristianstad University, SE- 291 88, Kristianstad, Sweden
| | - Robert H S Kraus
- Department of Migration, Max Planck Institute of Animal Behavior, 78315, Radolfzell, Germany
| | - Michael L Schummer
- Department of Environmental Biology, State University of New York College of Environmental Science and Forestry, Syracuse, NY, 13210, USA
| | - Joshua I Brown
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, 79668, USA
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21
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Conrady M, Lampei C, Bossdorf O, Hölzel N, Michalski S, Durka W, Bucharova A. Plants cultivated for ecosystem restoration can evolve toward a domestication syndrome. Proc Natl Acad Sci U S A 2023; 120:e2219664120. [PMID: 37155873 PMCID: PMC10193954 DOI: 10.1073/pnas.2219664120] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 04/05/2023] [Indexed: 05/10/2023] Open
Abstract
The UN Decade on Ecosystem Restoration calls for upscaling restoration efforts, but many terrestrial restoration projects are constrained by seed availability. To overcome these constraints, wild plants are increasingly propagated on farms to produce seeds for restoration projects. During on-farm propagation, the plants face non-natural conditions with different selection pressures, and they might evolve adaptations to cultivation that parallel those of agricultural crops, which could be detrimental to restoration success. To test this, we compared traits of 19 species grown from wild-collected seeds to those from their farm-propagated offspring of up to four cultivation generations, produced by two European seed growers, in a common garden experiment. We found that some plants rapidly evolved across cultivated generations towards increased size and reproduction, lower within-species variability, and more synchronized flowering. In one species, we found evolution towards less seed shattering. These trait changes are typical signs of the crop domestication syndrome, and our study demonstrates that it can also occur during cultivation of wild plants, within only few cultivated generations. However, there was large variability between cultivation lineages, and the observed effect sizes were generally rather moderate, which suggests that the detected evolutionary changes are unlikely to compromise farm-propagated seeds for ecosystem restoration. To mitigate the potential negative effects of unintended selection, we recommend to limit the maximum number of generations the plants can be cultivated without replenishing the seed stock from new wild collections.
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Affiliation(s)
- Malte Conrady
- Institute of Landscape Ecology, University of Münster, 48149Münster, Germany
- Department of Biology, Philipps-University Marburg, 35043Marburg, Germany
| | - Christian Lampei
- Institute of Landscape Ecology, University of Münster, 48149Münster, Germany
- Department of Biology, Philipps-University Marburg, 35043Marburg, Germany
| | - Oliver Bossdorf
- Plant Evolutionary Ecology, Institute of Evolution & Ecology, University of Tübingen, 72076Tübingen, Germany
| | - Norbert Hölzel
- Institute of Landscape Ecology, University of Münster, 48149Münster, Germany
| | - Stefan Michalski
- Department of Community Ecology, Helmholtz Centre for Environmental Research - UFZ, 06120Halle, Germany
| | - Walter Durka
- Department of Community Ecology, Helmholtz Centre for Environmental Research - UFZ, 06120Halle, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103Leipzig, Germany
| | - Anna Bucharova
- Institute of Landscape Ecology, University of Münster, 48149Münster, Germany
- Department of Biology, Philipps-University Marburg, 35043Marburg, Germany
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22
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Gupta S, Harkess A, Soble A, Van Etten M, Leebens-Mack J, Baucom RS. Interchromosomal linkage disequilibrium and linked fitness cost loci associated with selection for herbicide resistance. THE NEW PHYTOLOGIST 2023; 238:1263-1277. [PMID: 36721257 DOI: 10.1111/nph.18782] [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: 11/15/2022] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
The adaptation of weeds to herbicide is both a significant problem in agriculture and a model of rapid adaptation. However, significant gaps remain in our knowledge of resistance controlled by many loci and the evolutionary factors that influence the maintenance of resistance. Here, using herbicide-resistant populations of the common morning glory (Ipomoea purpurea), we perform a multilevel analysis of the genome and transcriptome to uncover putative loci involved in nontarget-site herbicide resistance (NTSR) and to examine evolutionary forces underlying the maintenance of resistance in natural populations. We found loci involved in herbicide detoxification and stress sensing to be under selection and confirmed that detoxification is responsible for glyphosate (RoundUp) resistance using a functional assay. We identified interchromosomal linkage disequilibrium (ILD) among loci under selection reflecting either historical processes or additive effects leading to the resistance phenotype. We further identified potential fitness cost loci that were strongly linked to resistance alleles, indicating the role of genetic hitchhiking in maintaining the cost. Overall, our work suggests that NTSR glyphosate resistance in I. purpurea is conferred by multiple genes which are potentially maintained through generations via ILD, and that the fitness cost associated with resistance in this species is likely a by-product of genetic hitchhiking.
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Affiliation(s)
- Sonal Gupta
- Ecology and Evolutionary Biology Department, University of Michigan, 4034 Biological Sciences Building, Ann Arbor, MI, 48109, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA
| | - Alex Harkess
- Department of Crop, Soil and Environmental Sciences, Auburn University, Auburn, AL, 36849, USA
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35806, USA
| | - Anah Soble
- Ecology and Evolutionary Biology Department, University of Michigan, 4034 Biological Sciences Building, Ann Arbor, MI, 48109, USA
| | - Megan Van Etten
- Biology Department, Pennsylvania State University, Dunmore, PA, 18512, USA
| | - James Leebens-Mack
- Department of Plant Biology, University of Georgia, Athens, GA, 30602, USA
| | - Regina S Baucom
- Ecology and Evolutionary Biology Department, University of Michigan, 4034 Biological Sciences Building, Ann Arbor, MI, 48109, USA
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23
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Buswell VG, Ellis JS, Huml JV, Wragg D, Barnett MW, Brown A, Knight ME. When One's Not Enough: Colony Pool-Seq Outperforms Individual-Based Methods for Assessing Introgression in Apis mellifera mellifera. INSECTS 2023; 14:insects14050421. [PMID: 37233049 DOI: 10.3390/insects14050421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 04/22/2023] [Accepted: 04/24/2023] [Indexed: 05/27/2023]
Abstract
The human management of honey bees (Apis mellifera) has resulted in the widespread introduction of subspecies outside of their native ranges. One well known example of this is Apis mellifera mellifera, native to Northern Europe, which has now been significantly introgressed by the introduction of C lineage honey bees. Introgression has consequences for species in terms of future adaptive potential and long-term viability. However, estimating introgression in colony-living haplodiploid species is challenging. Previous studies have estimated introgression using individual workers, individual drones, multiple drones, and pooled workers. Here, we compare introgression estimates via three genetic approaches: SNP array, individual RAD-seq, and pooled colony RAD-seq. We also compare two statistical approaches: a maximum likelihood cluster program (ADMIXTURE) and an incomplete lineage sorting model (ABBA BABA). Overall, individual approaches resulted in lower introgression estimates than pooled colonies when using ADMIXTURE. However, the pooled colony ABBA BABA approach resulted in generally lower introgression estimates than all three ADMIXTURE estimates. These results highlight that sometimes one individual is not enough to assess colony-level introgression, and future studies that do use colony pools should not be solely dependent on clustering programs for introgression estimates.
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Affiliation(s)
- Victoria G Buswell
- School of Biological and Marine Sciences, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK
- Information and Computational Sciences, The James Hutton Institute, Dundee DD2 5DA, UK
| | - Jonathan S Ellis
- School of Biological and Marine Sciences, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK
| | - J Vanessa Huml
- School of Biological and Marine Sciences, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK
| | - David Wragg
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Roslin EH25 9RG, UK
- Beebytes Analytics CIC, Roslin Innovation Centre, Easter Bush Campus, Roslin EH25 9RG, UK
| | - Mark W Barnett
- Beebytes Analytics CIC, Roslin Innovation Centre, Easter Bush Campus, Roslin EH25 9RG, UK
| | - Andrew Brown
- B4, Newton Farm Metherell, Cornwall, Callington PL17 8DQ, UK
| | - Mairi E Knight
- School of Biological and Marine Sciences, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK
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24
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Jansson E, Faust E, Bekkevold D, Quintela M, Durif C, Halvorsen KT, Dahle G, Pampoulie C, Kennedy J, Whittaker B, Unneland L, Post S, André C, Glover KA. Global, regional, and cryptic population structure in a high gene-flow transatlantic fish. PLoS One 2023; 18:e0283351. [PMID: 36940210 PMCID: PMC10027230 DOI: 10.1371/journal.pone.0283351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 03/07/2023] [Indexed: 03/21/2023] Open
Abstract
Lumpfish (Cyclopterus lumpus) is a transatlantic marine fish displaying large population sizes and a high potential for dispersal and gene-flow. These features are expected to result in weak population structure. Here, we investigated population genetic structure of lumpfish throughout its natural distribution in the North Atlantic using two approaches: I) 4,393 genome wide SNPs and 95 individuals from 10 locations, and II) 139 discriminatory SNPs and 1,669 individuals from 40 locations. Both approaches identified extensive population genetic structuring with a major split between the East and West Atlantic and a distinct Baltic Sea population, as well as further differentiation of lumpfish from the English Channel, Iceland, and Greenland. The discriminatory loci displayed ~2-5 times higher divergence than the genome wide approach, revealing further evidence of local population substructures. Lumpfish from Isfjorden in Svalbard were highly distinct but resembled most fish from Greenland. The Kattegat area in the Baltic transition zone, formed a previously undescribed distinct genetic group. Also, further subdivision was detected within North America, Iceland, West Greenland, Barents Sea, and Norway. Although lumpfish have considerable potential for dispersal and gene-flow, the observed high levels of population structuring throughout the Atlantic suggests that this species may have a natal homing behavior and local populations with adaptive differences. This fine-scale population structure calls for consideration when defining management units for exploitation of lumpfish stocks and in decisions related to sourcing and moving lumpfish for cleaner fish use in salmonid aquaculture.
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Affiliation(s)
- Eeva Jansson
- Institute of Marine Research, Nordnes, Bergen, Norway
| | - Ellika Faust
- Department of Marine Sciences - Tjärnö Marine Laboratory, University of Gothenburg, Strömstad, Sweden
| | - Dorte Bekkevold
- DTU-Aqua National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark
| | | | - Caroline Durif
- Institute of Marine Research, Austevoll Research Station, Storebø, Norway
| | | | - Geir Dahle
- Institute of Marine Research, Nordnes, Bergen, Norway
| | | | - James Kennedy
- Marine and Freshwater Research Institute, Hafnarfjörður, Iceland
| | - Benjamin Whittaker
- Department of Biosciences, Centre for Sustainable Aquatic Research, Swansea University, Swansea, United Kingdom
| | | | - Søren Post
- Greenland Institute of Natural Resources, Nuuk, Greenland
| | - Carl André
- Department of Marine Sciences - Tjärnö Marine Laboratory, University of Gothenburg, Strömstad, Sweden
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25
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Stubbs RL, Theodoridis S, Mora‐Carrera E, Keller B, Yousefi N, Potente G, Léveillé‐Bourret É, Celep F, Kochjarová J, Tedoradze G, Eaton DAR, Conti E. Whole-genome analyses disentangle reticulate evolution of primroses in a biodiversity hotspot. THE NEW PHYTOLOGIST 2023; 237:656-671. [PMID: 36210520 PMCID: PMC10099377 DOI: 10.1111/nph.18525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 09/26/2022] [Indexed: 06/16/2023]
Abstract
Biodiversity hotspots, such as the Caucasus mountains, provide unprecedented opportunities for understanding the evolutionary processes that shape species diversity and richness. Therefore, we investigated the evolution of Primula sect. Primula, a clade with a high degree of endemism in the Caucasus. We performed phylogenetic and network analyses of whole-genome resequencing data from the entire nuclear genome, the entire chloroplast genome, and the entire heterostyly supergene. The different characteristics of the genomic partitions and the resulting phylogenetic incongruences enabled us to disentangle evolutionary histories resulting from tokogenetic vs cladogenetic processes. We provide the first phylogeny inferred from the heterostyly supergene that includes all species of Primula sect. Primula. Our results identified recurrent admixture at deep nodes between lineages in the Caucasus as the cause of non-monophyly in Primula. Biogeographic analyses support the 'out-of-the-Caucasus' hypothesis, emphasizing the importance of this hotspot as a cradle for biodiversity. Our findings provide novel insights into causal processes of phylogenetic discordance, demonstrating that genome-wide analyses from partitions with contrasting genetic characteristics and broad geographic sampling are crucial for disentangling the diversification of species-rich clades in biodiversity hotspots.
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Affiliation(s)
- Rebecca L. Stubbs
- Department of Systematic and Evolutionary BotanyUniversity of ZurichZollikerstrasse 107Zurich8008Switzerland
| | - Spyros Theodoridis
- Senckenberg Biodiversity and Climate Research Centre (SBiK‐F)Frankfurt am Main60325Germany
| | - Emiliano Mora‐Carrera
- Department of Systematic and Evolutionary BotanyUniversity of ZurichZollikerstrasse 107Zurich8008Switzerland
| | - Barbara Keller
- Department of Systematic and Evolutionary BotanyUniversity of ZurichZollikerstrasse 107Zurich8008Switzerland
| | - Narjes Yousefi
- Department of Systematic and Evolutionary BotanyUniversity of ZurichZollikerstrasse 107Zurich8008Switzerland
| | - Giacomo Potente
- Department of Systematic and Evolutionary BotanyUniversity of ZurichZollikerstrasse 107Zurich8008Switzerland
| | - Étienne Léveillé‐Bourret
- Département de Sciences Biologiques, Institut de Recherche en Biologie Végétale (IRBV)Université de MontréalQuébecH1X 2B2Canada
| | - Ferhat Celep
- Department of Biology, Faculty of Arts and SciencesKırıkkale UniversityKırıkkale71450Turkey
| | - Judita Kochjarová
- Department of Phytology, Faculty of ForestryTechnical University in ZvolenZvolen96001Slovak Republic
| | - Giorgi Tedoradze
- Department of Plant Systematics and Geography, Institute of BotanyIlia State UniversityTbilisi0105Georgia
| | - Deren A. R. Eaton
- Department of Ecology, Evolution and Environmental BiologyColumbia UniversityNew YorkNY10027USA
| | - Elena Conti
- Department of Systematic and Evolutionary BotanyUniversity of ZurichZollikerstrasse 107Zurich8008Switzerland
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26
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Abstract
We organized this special issue to highlight new work and review recent advances at the cutting edge of 'wild quantitative genomics'. In this editorial, we will present some history of wild quantitative genetic and genomic studies, before discussing the main themes in the papers published in this special issue and highlighting the future outlook of this dynamic field.
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Affiliation(s)
- Susan E Johnston
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, Edinburgh EH9 3FL, UK
| | - Nancy Chen
- Department of Biology, University of Rochester, Rochester, 14627, NY, USA
| | - Emily B Josephs
- Department of Plant Biology and Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, 48824, MI, USA
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27
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Hartley R, Clemann N, Atkins Z, Scheele BC, Lindenmayer DB, Amor MD. Isolated on sky islands: genetic diversity and population structure of an endangered mountain lizard. CONSERV GENET 2022. [DOI: 10.1007/s10592-022-01495-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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28
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Alexander A, Robbins MB, Holmes J, Moyle RG, Peterson AT. Limited movement of an avian hybrid zone in relation to regional variation in magnitude of climate change. Mol Ecol 2022; 31:6634-6648. [PMID: 36210655 PMCID: PMC9729445 DOI: 10.1111/mec.16727] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 09/26/2022] [Accepted: 09/28/2022] [Indexed: 01/13/2023]
Abstract
Studies of natural hybrid zones can provide documentation of range shifts in response to climate change and identify loci important to reproductive isolation. Using a temporal (36-38 years) comparison of the black-capped (Poecile atricapillus) and Carolina (P. carolinensis) chickadee hybrid zone, we investigated movement of the western portion of the zone (western Missouri) and assessed whether loci and pathways underpinning reproductive isolation were similar to those in the eastern portion of the hybrid zone. Using 92 birds sampled along the hybrid zone transect in 2016 and 68 birds sampled between 1978 and 1980, we generated 11,669 SNPs via ddRADseq. These SNPs were used to assess movement of the hybrid zone through time and to evaluate variation in introgression among loci. We demonstrate that the interface has moved ~5 km to the northwest over the last 36-38 years, that is, at only one-fifth the rate at which the eastern portion (e.g., Pennsylvania, Ohio) of the hybrid zone has moved. Temperature trends over the last 38 years reveal that eastern areas have warmed 50% more than western areas in terms of annual mean temperature, possibly providing an explanation for the slower movement of the hybrid zone in Missouri. Our results suggest hybrid zone movement in broadly distributed species, such as chickadees, will vary between areas in response to local differences in the impacts of climate change.
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Affiliation(s)
- Alana Alexander
- Biodiversity Institute, University of Kansas, Lawrence, Kansas 66045, USA.,Department of Anatomy, University of Otago, Dunedin 9016, New Zealand.,Corresponding author.
| | - Mark B. Robbins
- Biodiversity Institute, University of Kansas, Lawrence, Kansas 66045, USA
| | - Jesse Holmes
- Biodiversity Institute, University of Kansas, Lawrence, Kansas 66045, USA.,Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas 66045, USA
| | - Robert G. Moyle
- Biodiversity Institute, University of Kansas, Lawrence, Kansas 66045, USA.,Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas 66045, USA
| | - A. Townsend Peterson
- Biodiversity Institute, University of Kansas, Lawrence, Kansas 66045, USA.,Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas 66045, USA
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29
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Meuser AV, Pyne CB, Mandeville EG. Limited evidence of a genetic basis for sex determination in the common creek chub, Semotilus atromaculatus. J Evol Biol 2022; 35:1635-1645. [PMID: 35411987 DOI: 10.1111/jeb.14006] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 03/15/2022] [Indexed: 12/16/2022]
Abstract
Sexual reproduction is almost universal in vertebrates; therefore, each animal species which uses it must have a mechanism for designating sex as male or female. Fish, especially, have a wide range of sex determining systems. In the present study, we aimed to identify a genetic basis for sex determination in the common creek chub (Semotilus atromaculatus) using genotyping-by-sequencing data. No sex-associated markers were found by RADSex or a GWAS using GEMMA; however, Weir and Cockerham locus-specific FST analysis and discriminant analysis of principal components revealed genetic differentiation between the sexes at several loci. While no explicit sex determination mechanism has been yet discovered in creek chub, these loci are potential candidates for future studies. Incompatible systems are thought to increase reproductive isolation but interspecific hybridization is common among groups such as cyprinid minnows; thus, studies such as ours can provide insight into hybridization and evolutionary diversification of this clade. We also highlight technical challenges involved in studying sex determination in evolutionary groups with extremely variable mechanisms and without heteromorphic sex chromosomes.
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Affiliation(s)
- Amanda V Meuser
- Department of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.,Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada
| | - Cassandre B Pyne
- Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada
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30
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Fernandes Santos CA, Rodrigues da Costa S, Silva Boiteux L, Grattapaglia D, Silva-Junior OB. Genetic associations with resistance to Meloidogyne enterolobii in guava (Psidium sp.) using cross-genera SNPs and comparative genomics to Eucalyptus highlight evolutionary conservation across the Myrtaceae. PLoS One 2022; 17:e0273959. [PMID: 36322533 PMCID: PMC9629644 DOI: 10.1371/journal.pone.0273959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 10/14/2022] [Indexed: 11/07/2022] Open
Abstract
Tropical fruit tree species constitute a yet untapped supply of outstanding diversity of taste and nutritional value, barely developed from the genetics standpoint, with scarce or no genomic resources to tackle the challenges arising in modern breeding practice. We generated a de novo genome assembly of the Psidium guajava, the super fruit “apple of the tropics”, and successfully transferred 14,268 SNP probesets from Eucalyptus to Psidium at the nucleotide level, to detect genomic loci linked to resistance to the root knot nematode (RKN) Meloidogyne enterolobii derived from the wild relative P. guineense. Significantly associated loci with resistance across alternative analytical frameworks, were detected at two SNPs on chromosome 3 in a pseudo-assembly of Psidium guajava genome built using a syntenic path approach with the Eucalyptus grandis genome to determine the order and orientation of the contigs. The P. guineense-derived resistance response to RKN and disease onset is conceivably triggered by mineral nutrients and phytohormone homeostasis or signaling with the involvement of the miRNA pathway. Hotspots of mapped resistance quantitative trait loci and functional annotation in the same genomic region of Eucalyptus provide further indirect support to our results, highlighting the evolutionary conservation of genomes across genera of Myrtaceae in the adaptation to pathogens. Marker assisted introgression of the resistance loci mapped should accelerate the development of improved guava cultivars and hybrid rootstocks.
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Affiliation(s)
| | - Soniane Rodrigues da Costa
- Graduate program in Genetic Resources, Universidade Estadual de Feira de Santana, Feira de Santana, Bahia, Brazil
| | | | - Dario Grattapaglia
- Embrapa Genetic Resources and Biotechnology (CENARGEN), Brasília, Distrito Federal, Brazil
- * E-mail:
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31
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Baccichet I, Chiozzotto R, Scaglione D, Bassi D, Rossini L, Cirilli M. Genetic dissection of fruit maturity date in apricot (P. armeniaca L.) through a Single Primer Enrichment Technology (SPET) approach. BMC Genomics 2022; 23:712. [PMID: 36258163 PMCID: PMC9580121 DOI: 10.1186/s12864-022-08901-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 09/08/2022] [Indexed: 11/10/2022] Open
Abstract
Background Single primer enrichment technology (SPET) is an emerging and increasingly popular solution for high-throughput targeted genotyping in plants. Although SPET requires a priori identification of polymorphisms for probe design, this technology has potentially higher reproducibility and transferability compared to other reduced representation sequencing (RRS) approaches, also enabling the discovery of closely linked polymorphisms surrounding the target one. Results The potential for SPET application in fruit trees was evaluated by developing a 25K target SNPs assay to genotype a panel of apricot accessions and progenies. A total of 32,492 polymorphic sites were genotyped in 128 accessions (including 8,188 accessory non-target SNPs) with extremely low levels of missing data and a significant correlation of allelic frequencies compared to whole-genome sequencing data used for array design. Assay performance was further validated by estimating genotyping errors in two biparental progenies, resulting in an overall 1.8% rate. SPET genotyping data were used to infer population structure and to dissect the architecture of fruit maturity date (MD), a quantitative reproductive phenological trait of great agronomical interest in apricot species. Depending on the year, GWAS revealed loci associated to MD on several chromosomes. The QTLs on chromosomes 1 and 4 (the latter explaining most of the phenotypic variability in the panel) were the most consistent over years and were further confirmed by linkage mapping in two segregating progenies. Conclusions Besides the utility for marker assisted selection and for paving the way to in-depth studies to clarify the molecular bases of MD trait variation in apricot, the results provide an overview of the performance and reliability of SPET for fruit tree genetics. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08901-1.
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Affiliation(s)
| | | | | | - Daniele Bassi
- Università degli Studi di Milan - DiSAA, Milano, Italy
| | - Laura Rossini
- Università degli Studi di Milan - DiSAA, Milano, Italy.
| | - Marco Cirilli
- Università degli Studi di Milan - DiSAA, Milano, Italy.
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32
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Xuereb A, Rougemont Q, Dallaire X, Moore J, Normandeau E, Bougas B, Perreault‐Payette A, Koop BF, Withler R, Beacham T, Bernatchez L. Re‐evaluating Coho salmon (
Oncorhynchus kisutch
) conservation units in Canada using genomic data. Evol Appl 2022; 15:1925-1944. [DOI: 10.1111/eva.13489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 11/28/2022] Open
Affiliation(s)
- Amanda Xuereb
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
| | - Quentin Rougemont
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
- CEFE, Centre d'Ecologie Fonctionnelle et Evolutive, UMR 5175, CNRS, Univ Montpellier, CNRS, EPHE, IRD Univ Paul Valéry Montpellier Montpellier France
| | - Xavier Dallaire
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
| | - Jean‐Sébastien Moore
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
| | - Eric Normandeau
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
| | - Bérénice Bougas
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
| | - Alysse Perreault‐Payette
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
| | - Ben F. Koop
- Department of Biology University of Victoria Victoria British Columbia Canada
| | - Ruth Withler
- Department of Fisheries and Ocean Pacific Biological Station Nanaimo British Columbia Canada
| | - Terry Beacham
- Department of Fisheries and Ocean Pacific Biological Station Nanaimo British Columbia Canada
| | - Louis Bernatchez
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
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33
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Dagilis AJ, Peede D, Coughlan JM, Jofre GI, D'Agostino ERR, Mavengere H, Tate AD, Matute DR. A need for standardized reporting of introgression: Insights from studies across eukaryotes. Evol Lett 2022; 6:344-357. [PMID: 36254258 PMCID: PMC9554761 DOI: 10.1002/evl3.294] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/04/2022] [Accepted: 06/12/2022] [Indexed: 01/04/2023] Open
Abstract
With the rise of affordable next-generation sequencing technology, introgression-or the exchange of genetic materials between taxa-has become widely perceived to be a ubiquitous phenomenon in nature. Although this claim is supported by several keystone studies, no thorough assessment of the frequency of introgression across eukaryotes in nature has been performed to date. In this manuscript, we aim to address this knowledge gap by examining patterns of introgression across eukaryotes. We collated a single statistic, Patterson's D, which can be used as a test for introgression across 123 studies to further assess how taxonomic group, divergence time, and sequencing technology influence reports of introgression. Overall, introgression has mostly been measured in plants and vertebrates, with less attention given to the rest of the Eukaryotes. We find that the most frequently used metrics to detect introgression are difficult to compare across studies and even more so across biological systems due to differences in study effort, reporting standards, and methodology. Nonetheless, our analyses reveal several intriguing patterns, including the observation that differences in sequencing technologies may bias values of Patterson's D and that introgression may differ throughout the course of the speciation process. Together, these results suggest the need for a unified approach to quantifying introgression in natural communities and highlight important areas of future research that can be better assessed once this unified approach is met.
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Affiliation(s)
| | - David Peede
- Biology DepartmentUniversity of North CarolinaChapel HillNCUSA
- Department of Ecology, Evolution, and Organismal BiologyBrown UniversityProvidenceRIUSA
- Center for Computational Molecular BiologyBrown UniversityProvidenceRIUSA
| | - Jenn M. Coughlan
- Biology DepartmentUniversity of North CarolinaChapel HillNCUSA
- Department of Ecology and Evolutionary BiologyYale UniversityNew HavenCTUSA
| | - Gaston I. Jofre
- Biology DepartmentUniversity of North CarolinaChapel HillNCUSA
| | - Emmanuel R. R. D'Agostino
- Biology DepartmentUniversity of North CarolinaChapel HillNCUSA
- Department of Ecology and Evolutionary BiologyPrinceton UniversityPrincetonNJUSA
| | - Heidi Mavengere
- Biology DepartmentUniversity of North CarolinaChapel HillNCUSA
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34
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Zhou X, Liu N, Jiang X, Qin Z, Farooq TH, Cao F, Li H. A chromosome-scale genome assembly of Quercus gilva: Insights into the evolution of Quercus section Cyclobalanopsis (Fagaceae). FRONTIERS IN PLANT SCIENCE 2022; 13:1012277. [PMID: 36212339 PMCID: PMC9539764 DOI: 10.3389/fpls.2022.1012277] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/13/2022] [Indexed: 05/30/2023]
Abstract
Quercus gilva is an ecologically and economically important species of Quercus section Cyclobalanopsis and is a dominant species in evergreen broad-leaved forests in subtropical regions of East Asia. In the present study, we reported a high-quality chromosome-scale genome assembly of Q. gilva, the first reference genome for section Cyclobalanopsis, using the combination of Illumina and PacBio sequencing with Hi-C technologies. The assembled genome size of Q. gilva was 889.71 Mb, with a contig number of 773 and a contig N50 of 28.32 Mb. Hi-C scaffolding anchored 859.07 Mb contigs (96.54% of the assembled genome) onto 12 pseudochromosomes, with a scaffold N50 of 70.35 Mb. A combination of de novo, homology-based, and transcript-based predictions predicted a final set of 36,442 protein-coding genes distributed on 12 pseudochromosomes, and 97.73% of them were functionally annotated. A total of 535.64 Mb (60.20%) of repetitive sequences were identified. Genome evolution analysis revealed that Q. gilva was most closely related to Q. suber and they diverged at 40.35 Ma, and Q. gilva did not experience species-specific whole-genome duplication in addition to the ancient gamma (γ) whole-genome triplication event shared by core eudicot plants. Q. gilva underwent considerable gene family expansion and contraction, with 598 expanded and 6,509 contracted gene families detected. The first chromosome-scale genome of Q. gilva will promote its germplasm conservation and genetic improvement and provide essential resources for better studying the evolution of Quercus section Cyclobalanopsis.
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Affiliation(s)
- Xia Zhou
- College of Forestry, Central South University of Forestry and Technology, Changsha, China
| | - Na Liu
- College of Forestry, Central South University of Forestry and Technology, Changsha, China
| | - Xiaolong Jiang
- College of Forestry, Central South University of Forestry and Technology, Changsha, China
| | - Zhikuang Qin
- College of Forestry, Central South University of Forestry and Technology, Changsha, China
| | - Taimoor Hassan Farooq
- Bangor College China, A Joint Unit of Bangor University and Central South University of Forestry and Technology, Changsha, China
| | - Fuliang Cao
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
| | - He Li
- College of Forestry, Central South University of Forestry and Technology, Changsha, China
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Piñeros VJ, Del R Pedraza-Marrón C, Betancourt-Resendes I, Calderón-Cortés N, Betancur-R R, Domínguez-Domínguez O. Genome-wide species delimitation analyses of a silverside fish species complex in central Mexico indicate taxonomic over-splitting. BMC Ecol Evol 2022; 22:108. [PMID: 36104671 PMCID: PMC9472351 DOI: 10.1186/s12862-022-02063-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 09/06/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Delimiting species across a speciation continuum is a complex task, as the process of species origin is not generally instantaneous. The use of genome-wide data provides unprecedented resolution to address convoluted species delimitation cases, often unraveling cryptic diversity. However, because genome-wide approaches based on the multispecies coalescent model are known to confound population structure with species boundaries, often resulting in taxonomic over-splitting, it has become increasingly evident that species delimitation research must consider multiple lines of evidence. In this study, we used phylogenomic, population genomic, and coalescent-based species delimitation approaches, and examined those in light of morphological and ecological information, to investigate species numbers and boundaries comprising the Chirostoma "humboltianum group" (family Atherinidae). The humboltianum group is a taxonomically controversial species complex where previous morphological and mitochondrial studies produced conflicting species delimitation outcomes. We generated ddRADseq data for 77 individuals representing the nine nominal species in the group, spanning their distribution range in the central Mexican plateau. RESULTS Our results conflict with the morphospecies and ecological delimitation hypotheses, identifying four independently evolving lineages organized in three geographically cohesive clades: (i) chapalae and sphyraena groups in Lake Chapala, (ii) estor group in Lakes Pátzcuaro and Zirahuén, and (iii) humboltianum sensu stricto group in Lake Zacapu and Lerma river system. CONCLUSIONS Overall, our study provides an atypical example where genome-wide analyses delineate fewer species than previously recognized on the basis of morphology. It also highlights the influence of the geological history of the Chapala-Lerma hydrological system in driving allopatric speciation in the humboltianum group.
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Affiliation(s)
- Victor Julio Piñeros
- Laboratorio de Ecología Molecular, Escuela Nacional de Estudios Superiores Unidad Morelia, Universidad Nacional Autónoma de México, Antigua Carretera a Pátzcuaro 8701, Ex-Hacienda de San José de La Huerta, 58190, Morelia, Michoacán, Mexico
| | | | - Isaí Betancourt-Resendes
- Facultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Avenida de Las Ciencias S/N Juriquilla, Delegación Santa Rosa Jáuregui, 76230, Querétaro, Mexico
| | - Nancy Calderón-Cortés
- Laboratorio de Ecología Molecular, Escuela Nacional de Estudios Superiores Unidad Morelia, Universidad Nacional Autónoma de México, Antigua Carretera a Pátzcuaro 8701, Ex-Hacienda de San José de La Huerta, 58190, Morelia, Michoacán, Mexico.
| | - Ricardo Betancur-R
- Department of Biology, The University of Oklahoma, 730 Van Vleet Oval, Norman, OK, 73019, USA
| | - Omar Domínguez-Domínguez
- Laboratorio de Biología Acuática, Facultad de Biología, Universidad Michoacana de San Nicolás de Hidalgo, Edificio "R" Planta Baja, Ciudad Universitaria, 58030, Morelia, Michoacán, Mexico.
- Laboratorio Nacional de Análisis y Síntesis Ecológica Para la Conservación de Recursos Genéticos de México, Escuela Nacional de Estudios Superiores, Unidad Morelia, Universidad Nacional Autónoma de México, Apartado Postal 27-3 (Xangari), 58089, Michoacán, Morelia, Mexico.
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Genomic signatures of selection associated with benzimidazole drug treatments in Haemonchus contortus field populations. Int J Parasitol 2022; 52:677-689. [PMID: 36113620 DOI: 10.1016/j.ijpara.2022.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 07/19/2022] [Accepted: 07/19/2022] [Indexed: 11/22/2022]
Abstract
Genome-wide methods offer a powerful approach to detect signatures of drug selection. However, limited availability of suitable reference genomes and the difficulty of obtaining field populations with well-defined, distinct drug treatment histories mean there is little information on the signatures of selection in parasitic nematodes and on how best to detect them. This study addresses these knowledge gaps by using field populations of Haemonchus contortus with well-defined benzimidazole treatment histories, leveraging a recently completed chromosomal-scale reference genome assembly. We generated a panel of 49,393 genomic markers to genotype 20 individual adult worms from each of four H. contortus populations: two from closed sheep flocks with an approximate 20 year history of frequent benzimidazole treatment, and two populations with a history of little or no treatment. Sampling occurred in the same geographical region to limit genetic differentiation and maximise the detection sensitivity. A clear signature of selection was detected on chromosome I, centred on the isotype-1 β-tubulin gene. Two additional, but weaker, signatures of selection were detected; one near the middle of chromosome I spanning 3.75 Mbp and 259 annotated genes, and one on chromosome II spanning a region of 3.3 Mbp and 206 annotated genes, including the isotype-2 β-tubulin locus. We also assessed how sensitivity was impacted by sequencing depth, worm number, and pooled versus individual worm sequence data. This study provides the first known direct genome-wide evidence for any parasitic nematode, that the isotype-1 β-tubulin gene is quantitatively the single most important benzimidazole resistance locus. It also identified two additional genomic regions that likely contain benzimidazole resistance loci of secondary importance. This study provides an experimental framework to maximise the power of genome-wide approaches to detect signatures of selection driven by anthelmintic drug treatments in field populations of parasitic nematodes.
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MacDonald ZG, Snape KL, Roe AD, Sperling FAH. Host association, environment, and geography underlie genomic differentiation in a major forest pest. Evol Appl 2022; 15:1749-1765. [PMID: 36426133 PMCID: PMC9679251 DOI: 10.1111/eva.13466] [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: 03/07/2022] [Accepted: 07/29/2022] [Indexed: 11/30/2022] Open
Abstract
Diverse geographic, environmental, and ecological factors affect gene flow and adaptive genomic variation within species. With recent advances in landscape ecological modelling and high‐throughput DNA sequencing, it is now possible to effectively quantify and partition their relative contributions. Here, we use landscape genomics to identify determinants of genomic differentiation in the forest tent caterpillar, Malacosoma disstria, a widespread and irruptive pest of numerous deciduous tree species in North America. We collected larvae from multiple populations across Eastern Canada, where the species experiences a diversity of environmental gradients and feeds on a number of different host tree species, including trembling aspen (Populus tremuloides), sugar maple (Acer saccharum), red oak (Quercus rubra), and white birch (Betula papyrifera). Using a combination of reciprocal causal modelling (RCM) and distance‐based redundancy analyses (dbRDA), we show that differentiation of thousands of genome‐wide single nucleotide polymorphisms (SNPs) among individuals is best explained by a combination of isolation by distance, isolation by environment (spatial variation in summer temperatures and length of the growing season), and differences in host association. Configuration of suitable habitat inferred from ecological niche models was not significantly related to genomic differentiation, suggesting that M. disstria dispersal is agnostic with respect to habitat quality. Although population structure was not discretely related to host association, our modelling framework provides the first molecular evidence of host‐associated differentiation in M. disstria, congruent with previous documentation of reduced growth and survival of larvae moved between natal host species. We conclude that ecologically mediated selection is contributing to variation within M. disstria, and that divergent adaptation related to both environmental conditions and host association should be considered in ongoing research and management of this important forest pest.
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Affiliation(s)
- Zachary G. MacDonald
- Department of Biological Sciences University of Alberta Edmonton Alberta Canada
- UCLA La Kretz Center for California Conservation Science University of California Los Angeles Los Angeles CA USA
- Institute of the Environmental and Sustainability University of California Los Angeles Los Angeles CA USA
| | - Kyle L. Snape
- Department of Biological Sciences University of Alberta Edmonton Alberta Canada
| | - Amanda D. Roe
- Great Lakes Forestry Centre, Canadian Forest Service, Natural Resources Canada Sault Ste. Marie ON Canada
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Sandercock AM, Westbrook JW, Zhang Q, Johnson HA, Saielli TM, Scrivani JA, Fitzsimmons SF, Collins K, Perkins MT, Craddock JH, Schmutz J, Grimwood J, Holliday JA. Frozen in time: rangewide genomic diversity, structure, and demographic history of relict American chestnut populations. Mol Ecol 2022; 31:4640-4655. [PMID: 35880415 DOI: 10.1111/mec.16629] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 07/15/2022] [Accepted: 07/18/2022] [Indexed: 11/30/2022]
Abstract
American chestnut (Castanea dentata) was once the most economically and ecologically important hardwood species in the eastern United States. In the first half of the 20th century, an exotic fungal pathogen - Cryphonectria parasitica - decimated the species, killing billions of chestnut trees. Two approaches to developing blight resistant American chestnut populations show promise, but both will require introduction of adaptive genomic diversity from wild germplasm to produce diverse, locally adapted restoration populations. Here we characterize population structure, demographic history, and genomic diversity in a range-wide sample of 384 wild American chestnuts to inform conservation and breeding with blight resistant varieties. Population structure analyses suggest that the chestnut range can be roughly divided into northeast, central, and southwest populations. Within-population genomic diversity estimates revealed a clinal pattern with the highest diversity in the southwest, which likely reflects bottleneck events associated with Quaternary glaciation. Finally, we identified genomic regions under positive selection within each population, which suggests that defense against fungal pathogens is a common target of selection across all populations. Taken together, these results show that American chestnut underwent a postglacial expansion from the southern portion of its range leading to three extant genetic populations. These populations will serve as management units for breeding adaptive genetic variation into the blight-resistant tree populations for targeted reintroduction efforts.
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Affiliation(s)
| | | | - Qian Zhang
- Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA, USA
| | - Hayley A Johnson
- Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA, USA
| | | | | | | | | | - M Taylor Perkins
- Department of Biology, Geology, and Environmental Science, The University of Tennessee at Chattanooga, Chattanooga, TN, USA
| | - J Hill Craddock
- Department of Biology, Geology, and Environmental Science, The University of Tennessee at Chattanooga, Chattanooga, TN, USA
| | - Jeremy Schmutz
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Jane Grimwood
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Jason A Holliday
- Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA, USA
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Speciation with gene flow in a narrow endemic West Virginia cave salamander (Gyrinophilus subterraneus). CONSERV GENET 2022. [DOI: 10.1007/s10592-022-01445-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Malison RL, Hand BK, Winter E, Giersch JJ, Amish SJ, Whited D, Stanford JA, Luikart G. Landscape connectivity and genetic structure in a mainstem and a tributary stonefly (Plecoptera) species using a novel reference genome. J Hered 2022; 113:453-471. [DOI: 10.1093/jhered/esac025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 05/12/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
Understanding how environmental variation influences population genetic structure can help predict how environmental change influences population connectivity, genetic diversity, and evolutionary potential. We used riverscape genomics modelling to investigate how climatic and habitat variables relate to patterns of genetic variation in two stonefly species, one from mainstem river habitats (Sweltsa coloradensis) and one from tributaries (Sweltsa fidelis) in 40 sites in northwest Montana, USA. We produced a draft genome assembly for S. coloradensis (N50 = 0.251 Mbp, BUSCO > 95% using “insecta_ob9” reference genes). We genotyped 1930 SNPs in 372 individuals for S. coloradensis and 520 SNPs in 153 individuals for S. fidelis. We found higher genetic diversity for S. coloradensis compared to S. fidelis, but nearly identical genetic differentiation among sites within each species (both had global loci median FST = 0.000), despite differences in stream network location. For landscape genomics and testing for selection, we produced a less stringently filtered data set (3454 and 1070 SNPs for S. coloradensis and S. fidelis, respectively). Environmental variables (mean summer precipitation, slope, aspect, mean June stream temperature, land cover type) were correlated with 19 putative adaptive loci for S. coloradensis. but there was only one putative adaptive locus for S. fidelis (correlated with aspect). Interestingly, we also detected potential hybridization between multiple Sweltsa species which has never been previously detected. Studies like ours, that test for adaptive variation in multiple related species are needed to help assess landscape connectivity and the vulnerability of populations and communities to environmental change.
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Affiliation(s)
- Rachel L Malison
- The University of Montana, Flathead Lake Biological Station, 32125 Bio Station Lane, Polson, MT
| | - Brian K Hand
- The University of Montana, Flathead Lake Biological Station, 32125 Bio Station Lane, Polson, MT
| | - Emily Winter
- The University of Montana, Flathead Lake Biological Station, 32125 Bio Station Lane, Polson, MT
| | - J Joseph Giersch
- US Geological Survey, Northern Rocky Mountain Science Center, Glacier National Park, West Glacier, Montana
| | - Stephen J Amish
- The University of Montana, Flathead Lake Biological Station, 32125 Bio Station Lane, Polson, MT
- Conservation Genomics Group, Division of Biological Sciences, University of Montana, Missoula, Montana
| | - Diane Whited
- The University of Montana, Flathead Lake Biological Station, 32125 Bio Station Lane, Polson, MT
| | - Jack A Stanford
- The University of Montana, Flathead Lake Biological Station, 32125 Bio Station Lane, Polson, MT
| | - Gordon Luikart
- The University of Montana, Flathead Lake Biological Station, 32125 Bio Station Lane, Polson, MT
- Conservation Genomics Group, Division of Biological Sciences, University of Montana, Missoula, Montana
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41
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Walters SJ, Robinson TP, Byrne M, Nevill P. Seed sourcing in the genomics era: Multispecies provenance delineation for current and future climates. Restor Ecol 2022. [DOI: 10.1111/rec.13718] [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]
Affiliation(s)
- Sheree J. Walters
- ARC Centre for Mine Site Restoration, School of Molecular and Life Sciences Curtin University Bentley WA 6102 Australia
| | - Todd P. Robinson
- School of Earth and Planetary Sciences Curtin University Bentley WA 6102 Australia
| | - Margaret Byrne
- Biodiversity and Conservation Science, Department of Biodiversity Conservation and Attractions, Locked Bag 104, Bentley Delivery Centre WA 6983 Australia
- School of Molecular and Life Sciences Curtin University Bentley WA 6102 Australia
| | - Paul Nevill
- ARC Centre for Mine Site Restoration, School of Molecular and Life Sciences Curtin University Bentley WA 6102 Australia
- Trace and Environmental DNA Laboratory, School of Molecular and Life Sciences Curtin University Bentley WA 6102 Australia
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42
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Kolis KM, Berg CS, Nelson TC, Fishman L. Population genomic consequences of life-history and mating system adaptation to a geothermal soil mosaic in yellow monkeyflowers. Evolution 2022; 76:765-781. [PMID: 35266558 DOI: 10.1111/evo.14469] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 01/13/2022] [Accepted: 01/26/2022] [Indexed: 01/21/2023]
Abstract
Local selection can promote phenotypic divergence despite gene flow across habitat mosaics, but adaptation itself may generate substantial barriers to genetic exchange. In plants, life-history, phenology, and mating system divergence have been proposed to promote genetic differentiation in sympatry. In this study, we investigate phenotypic and genetic variation in Mimulus guttatus (yellow monkeyflowers) across a geothermal soil mosaic in Yellowstone National Park (YNP). Plants from thermal annual and nonthermal perennial habitats were heritably differentiated for life-history and mating system traits, consistent with local adaptation to the ephemeral thermal-soil growing season. However, genome-wide genetic variation primarily clustered plants by geographic region, with little variation sorting by habitat. The one exception was an extreme thermal population also isolated by a 200 m geographical gap of no intermediate habitat. Individual inbreeding coefficients (FIS ) were higher (and predicted by trait variation) in annual plants and annual pairs showed greater isolation by distance at local (<1 km) scales. Finally, YNP adaptation does not reuse a widespread inversion that underlies M. guttatus life-history ecotypes range-wide, suggesting a novel genetic mechanism. Overall, this work suggests that life-history and mating system adaptation strong enough to shape individual mating patterns does not necessarily generate incipient speciation without geographical barriers.
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Affiliation(s)
- Kory M Kolis
- Division of Biological Sciences, University of Montana, Missoula, Montana, 59812.,Current Address: O'Connor Center for the Rocky Mountain West, University of Montana, Missoula, MT, 59812
| | - Colette S Berg
- Division of Biological Sciences, University of Montana, Missoula, Montana, 59812
| | - Thomas C Nelson
- Division of Biological Sciences, University of Montana, Missoula, Montana, 59812.,Current Address: Embark Veterinary, Inc., Boston, Massachusetts, 02210
| | - Lila Fishman
- Division of Biological Sciences, University of Montana, Missoula, Montana, 59812
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Stunz E, Fetcher N, Lavretsky P, Mohl JE, Tang J, Moody ML. Landscape Genomics Provides Evidence of Ecotypic Adaptation and a Barrier to Gene Flow at Treeline for the Arctic Foundation Species Eriophorum vaginatum. FRONTIERS IN PLANT SCIENCE 2022; 13:860439. [PMID: 35401613 PMCID: PMC8987161 DOI: 10.3389/fpls.2022.860439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 02/14/2022] [Indexed: 06/14/2023]
Abstract
Global climate change has resulted in geographic range shifts of flora and fauna at a global scale. Extreme environments, like the Arctic, are seeing some of the most pronounced changes. This region covers 14% of the Earth's land area, and while many arctic species are widespread, understanding ecotypic variation at the genomic level will be important for elucidating how range shifts will affect ecological processes. Tussock cottongrass (Eriophorum vaginatum L.) is a foundation species of the moist acidic tundra, whose potential decline due to competition from shrubs may affect ecosystem stability in the Arctic. We used double-digest Restriction Site-Associated DNA sequencing to identify genomic variation in 273 individuals of E. vaginatum from 17 sites along a latitudinal gradient in north central Alaska. These sites have been part of 30 + years of ecological research and are inclusive of a region that was part of the Beringian refugium. The data analyses included genomic population structure, demographic models, and genotype by environment association. Genome-wide SNP investigation revealed environmentally associated variation and population structure across the sampled range of E. vaginatum, including a genetic break between populations north and south of treeline. This structure is likely the result of subrefugial isolation, contemporary isolation by resistance, and adaptation. Forty-five candidate loci were identified with genotype-environment association (GEA) analyses, with most identified genes related to abiotic stress. Our results support a hypothesis of limited gene flow based on spatial and environmental factors for E. vaginatum, which in combination with life history traits could limit range expansion of southern ecotypes northward as the tundra warms. This has implications for lower competitive attributes of northern plants of this foundation species likely resulting in changes in ecosystem productivity.
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Affiliation(s)
- Elizabeth Stunz
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, United States
| | - Ned Fetcher
- Institute for Environmental Science and Sustainability, Wilkes University, Wilkes-Barre, PA, United States
| | - Philip Lavretsky
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, United States
| | - Jonathon E. Mohl
- Department of Mathematical Sciences, Border Biomedical Research Center, University of Texas at El Paso, El Paso, TX, United States
| | - Jianwu Tang
- Marine Biological Laboratory, The Ecosystems Center, Woods Hole, MA, United States
| | - Michael L. Moody
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, United States
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Conrady M, Lampei C, Bossdorf O, Durka W, Bucharova A. Evolution during seed production for ecological restoration? A molecular analysis of 19 species finds only minor genomic changes. J Appl Ecol 2022. [DOI: 10.1111/1365-2664.14155] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Malte Conrady
- Institute of Landscape Ecology University of Münster Münster Germany
- Department of Biology, Philipps‐University Marburg Marburg Germany
| | - Christian Lampei
- Institute of Landscape Ecology University of Münster Münster Germany
| | - Oliver Bossdorf
- Plant Evolutionary Ecology Institute of Evolution & Ecology; University of Tübingen; Tübingen; Germany
| | - Walter Durka
- Department of Community Ecology, Helmholtz Centre for Environmental Research ‐ UFZ; Halle; Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig Germany
| | - Anna Bucharova
- Institute of Landscape Ecology University of Münster Münster Germany
- Department of Biology, Philipps‐University Marburg Marburg Germany
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Marques AJD, Hanson JO, Camacho-Sanchez M, Martínez-Solano I, Moritz C, Tarroso P, Velo-Antón G, Veríssimo A, Carvalho SB. Range-wide genomic scans and tests for selection identify non-neutral spatial patterns of genetic variation in a non-model amphibian species (Pelobates cultripes). CONSERV GENET 2022. [DOI: 10.1007/s10592-021-01425-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Yeaman S. Evolution of polygenic traits under global vs local adaptation. Genetics 2022; 220:6497714. [PMID: 35134196 PMCID: PMC8733419 DOI: 10.1093/genetics/iyab134] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 08/05/2021] [Indexed: 12/14/2022] Open
Abstract
Observations about the number, frequency, effect size, and genomic distribution of alleles associated with complex traits must be interpreted in light of evolutionary process. These characteristics, which constitute a trait’s genetic architecture, can dramatically affect evolutionary outcomes in applications from agriculture to medicine, and can provide a window into how evolution works. Here, I review theoretical predictions about the evolution of genetic architecture under spatially homogeneous, global adaptation as compared with spatially heterogeneous, local adaptation. Due to the tension between divergent selection and migration, local adaptation can favor “concentrated” genetic architectures that are enriched for alleles of larger effect, clustered in a smaller number of genomic regions, relative to expectations under global adaptation. However, the evolution of such architectures may be limited by many factors, including the genotypic redundancy of the trait, mutation rate, and temporal variability of environment. I review the circumstances in which predictions differ for global vs local adaptation and discuss where progress can be made in testing hypotheses using data from natural populations and lab experiments. As the field of comparative population genomics expands in scope, differences in architecture among traits and species will provide insights into how evolution works, and such differences must be interpreted in light of which kind of selection has been operating.
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Affiliation(s)
- Sam Yeaman
- Department of Biological Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada
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Feng L, Du FK. Landscape Genomics in Tree Conservation Under a Changing Environment. FRONTIERS IN PLANT SCIENCE 2022; 13:822217. [PMID: 35283901 PMCID: PMC8908315 DOI: 10.3389/fpls.2022.822217] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 01/10/2022] [Indexed: 05/11/2023]
Abstract
Understanding the genetic basis of how species respond to changing environments is essential to the conservation of species. However, the molecular mechanisms of adaptation remain largely unknown for long-lived tree species which always have large population sizes, long generation time, and extensive gene flow. Recent advances in landscape genomics can reveal the signals of adaptive selection linking genetic variations and landscape characteristics and therefore have created novel insights into tree conservation strategies. In this review article, we first summarized the methods of landscape genomics used in tree conservation and elucidated the advantages and disadvantages of these methods. We then highlighted the newly developed method "Risk of Non-adaptedness," which can predict the genetic offset or genomic vulnerability of species via allele frequency change under multiple scenarios of climate change. Finally, we provided prospects concerning how our introduced approaches of landscape genomics can assist policymaking and improve the existing conservation strategies for tree species under the ongoing global changes.
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Affiliation(s)
- Li Feng
- School of Pharmacy, Xi’an Jiaotong University, Xi’an, China
| | - Fang K. Du
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
- *Correspondence: Fang K. Du,
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Chen Z, Grossfurthner L, Loxterman JL, Masingale J, Richardson BA, Seaborn T, Smith B, Waits LP, Narum SR. Applying genomics in assisted migration under climate change: Framework, empirical applications, and case studies. Evol Appl 2022; 15:3-21. [PMID: 35126645 PMCID: PMC8792483 DOI: 10.1111/eva.13335] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 11/18/2021] [Accepted: 12/01/2021] [Indexed: 12/01/2022] Open
Abstract
The rate of global climate change is projected to outpace the ability of many natural populations and species to adapt. Assisted migration (AM), which is defined as the managed movement of climate-adapted individuals within or outside the species ranges, is a conservation option to improve species' adaptive capacity and facilitate persistence. Although conservation biologists have long been using genetic tools to increase or maintain diversity of natural populations, genomic techniques could add extra benefit in AM that include selectively neutral and adaptive regions of the genome. In this review, we first propose a framework along with detailed procedures to aid collaboration among scientists, agencies, and local and regional managers during the decision-making process of genomics-guided AM. We then summarize the genomic approaches for applying AM, followed by a literature search of existing incorporation of genomics in AM across taxa. Our literature search initially identified 729 publications, but after filtering returned only 50 empirical studies that were either directly applied or considered genomics in AM related to climate change across taxa of plants, terrestrial animals, and aquatic animals; 42 studies were in plants. This demonstrated limited application of genomic methods in AM in organisms other than plants, so we provide further case studies as two examples to demonstrate the negative impact of climate change on non-model species and how genomics could be applied in AM. With the rapidly developing sequencing technology and accumulating genomic data, we expect to see more successful applications of genomics in AM, and more broadly, in the conservation of biodiversity.
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Affiliation(s)
- Zhongqi Chen
- Aquaculture Research InstituteUniversity of IdahoHagermanIdahoUSA
| | - Lukas Grossfurthner
- Bioinformatics and Computational Biology Graduate ProgramUniversity of IdahoHagermanIdahoUSA
| | - Janet L. Loxterman
- Department of Biological SciencesIdaho State UniversityPocatelloIdahoUSA
| | | | | | - Travis Seaborn
- Department of Fish and Wildlife ResourcesUniversity of IdahoMoscowIdahoUSA
| | - Brandy Smith
- Department of Biological SciencesIdaho State UniversityPocatelloIdahoUSA
| | - Lisette P. Waits
- Department of Fish and Wildlife ResourcesUniversity of IdahoMoscowIdahoUSA
| | - Shawn R. Narum
- Columbia River Inter‐Tribal Fish CommissionHagermanIdahoUSA
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Lund AJ, Wade KJ, Nikolakis ZL, Ivey KN, Perry BW, Pike HNC, Paull SH, Liu Y, Castoe TA, Pollock DD, Carlton EJ. Integrating genomic and epidemiologic data to accelerate progress toward schistosomiasis elimination. eLife 2022; 11:79320. [PMID: 36040013 PMCID: PMC9427098 DOI: 10.7554/elife.79320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 08/11/2022] [Indexed: 11/13/2022] Open
Abstract
The global community has adopted ambitious goals to eliminate schistosomiasis as a public health problem, and new tools are needed to achieve them. Mass drug administration programs, for example, have reduced the burden of schistosomiasis, but the identification of hotspots of persistent and reemergent transmission threaten progress toward elimination and underscore the need to couple treatment with interventions that reduce transmission. Recent advances in DNA sequencing technologies make whole-genome sequencing a valuable and increasingly feasible option for population-based studies of complex parasites such as schistosomes. Here, we focus on leveraging genomic data to tailor interventions to distinct social and ecological circumstances. We consider two priority questions that can be addressed by integrating epidemiological, ecological, and genomic information: (1) how often do non-human host species contribute to human schistosome infection? and (2) what is the importance of locally acquired versus imported infections in driving transmission at different stages of elimination? These questions address processes that can undermine control programs, especially those that rely heavily on treatment with praziquantel. Until recently, these questions were difficult to answer with sufficient precision to inform public health decision-making. We review the literature related to these questions and discuss how whole-genome approaches can identify the geographic and taxonomic sources of infection, and how such information can inform context-specific efforts that advance schistosomiasis control efforts and minimize the risk of reemergence.
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Affiliation(s)
- Andrea J Lund
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado AnschutzAuroraUnited States
| | - Kristen J Wade
- Department of Biochemistry & Molecular Genetics, University of Colorado School of MedicineAuroraUnited States
| | - Zachary L Nikolakis
- Department of Biology, University of Texas at ArlingtonArlingtonUnited States
| | - Kathleen N Ivey
- Department of Biology, University of Texas at ArlingtonArlingtonUnited States
| | - Blair W Perry
- Department of Biology, University of Texas at ArlingtonArlingtonUnited States
| | - Hamish NC Pike
- Department of Biochemistry & Molecular Genetics, University of Colorado School of MedicineAuroraUnited States
| | - Sara H Paull
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado AnschutzAuroraUnited States
| | - Yang Liu
- Sichuan Centers for Disease Control and PreventionChengduChina
| | - Todd A Castoe
- Department of Biology, University of Texas at ArlingtonArlingtonUnited States
| | - David D Pollock
- Department of Biochemistry & Molecular Genetics, University of Colorado School of MedicineAuroraUnited States
| | - Elizabeth J Carlton
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado AnschutzAuroraUnited States
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50
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Dong X, Yi W, Zheng C, Zhu X, Wang S, Xue H, Ye Z, Bu W. Species delimitation of rice seed bugs complex: Insights from mitochondrial genomes and ddRAD‐seq data. ZOOL SCR 2021. [DOI: 10.1111/zsc.12523] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Xue Dong
- Institute of Entomology College of Life Sciences Nankai University Tianjin China
| | - Wenbo Yi
- Department of Biology Xinzhou Teachers University Xinzhou China
| | - Chenguang Zheng
- Institute of Entomology College of Life Sciences Nankai University Tianjin China
| | - Xiuxiu Zhu
- Institute of Entomology College of Life Sciences Nankai University Tianjin China
| | - Shujing Wang
- Institute of Entomology College of Life Sciences Nankai University Tianjin China
| | - Huaijun Xue
- Institute of Entomology College of Life Sciences Nankai University Tianjin China
| | - Zhen Ye
- Institute of Entomology College of Life Sciences Nankai University Tianjin China
| | - Wenjun Bu
- Institute of Entomology College of Life Sciences Nankai University Tianjin China
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