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Luo M, Hu J. Alternative splicing in parallel evolution and the evolutionary potential in sticklebacks. J Anim Ecol 2024; 93:1392-1405. [PMID: 39056271 DOI: 10.1111/1365-2656.14157] [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: 10/25/2023] [Accepted: 06/28/2024] [Indexed: 07/28/2024]
Abstract
Repeatability of adaptation to similar environments provides opportunity to evaluate the predictability of natural selection. While many studies have investigated gene expression differences between populations adapted to contrasting environments, the role of post-transcriptional processes such as alternative splicing has rarely been evaluated in the context of parallel adaptation. To address the aforementioned knowledge gap, we reanalysed transcriptomic data from three pairs of threespine stickleback (Gasterosteus aculeatus) ecotypes adapted to marine or freshwater environment. First, we identified genes with repeated expression or splicing divergence across ecotype pairs, and compared the genetic architecture and biological processes between parallelly expressed and parallelly spliced loci. Second, we analysed the extent to which parallel adaptation was reflected at gene expression and alternative splicing levels. Finally, we tested how the two axes of transcriptional variation differed in their potential for evolutionary change. Although both repeated differential splicing and differential expression across ecotype pairs showed tendency for parallel divergence, the degree of parallelism was lower for splicing than expression. Furthermore, parallel divergences in splicing and expression were likely to be associated with distinct cis-regulatory genetic variants and functionally unique set of genes. Finally, we found that parallelly spliced genes showed higher nucleotide diversity than parallelly expressed genes, indicating splicing is less susceptible to genetic variation erosion during parallel adaptation. Our results provide novel insight into the role of splicing in parallel adaptation, and underscore the contribution of splicing to the evolutionary potential of wild populations under environmental change.
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Affiliation(s)
- Man Luo
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai, China
| | - Juntao Hu
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai, China
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2
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Hu J, Barrett RDH. The role of plastic and evolved DNA methylation in parallel adaptation of threespine stickleback (Gasterosteus aculeatus). Mol Ecol 2022; 32:1581-1591. [PMID: 36560898 DOI: 10.1111/mec.16832] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 12/17/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022]
Abstract
Repeated phenotypic patterns among populations undergoing parallel evolution in similar environments provide support for the deterministic role of natural selection. Epigenetic modifications can mediate plastic and evolved phenotypic responses to environmental change and might make important contributions to parallel adaptation. While many studies have explored the genetic basis of repeated phenotypic divergence, the role of epigenetic processes during parallel adaptation remains unclear. The parallel evolution of freshwater ecotypes of threespine stickleback fish (Gasterosteus aculeatus) following colonization of thousands of lakes and streams from the ocean is a classic example of parallel phenotypic and genotypic adaptation. To investigate epigenetic modifications during parallel adaptation of threespine stickleback, we reanalysed three independent data sets that investigated DNA methylation variation between marine and freshwater ecotypes. Although we found widespread methylation differentiation between ecotypes, there was no significant tendency for CpG sites associated with repeated methylation differentiation across studies to be parallel versus nonparallel. To next investigate the role of plastic versus evolved changes in methylation during freshwater adaptation, we explored if CpG sites exhibiting methylation plasticity during salinity change were more likely to also show evolutionary divergence in methylation between ecotypes. The directions of divergence between ecotypes were generally in the opposite direction to those observed for plasticity when ecotypes were challenged with non-native salinity conditions, suggesting that most plastic responses are likely to be maladaptive during colonization of new environments. Finally, we found a greater number of CpG sites showing evolved changes when ancestral marine ecotypes are acclimated to freshwater environments, whereas plastic changes predominate when derived freshwater ecotypes transition back to their ancestral marine environments. These findings provide evidence for an epigenetic contribution to parallel adaptation and demonstrate the contrasting roles of plastic and evolved methylation differences during adaptation to new environments.
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Affiliation(s)
- Juntao Hu
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, Center of Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai, P. R. China
| | - Rowan D H Barrett
- Redpath Museum and Department of Biology, McGill University, Montreal, Quebec, Canada
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3
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Sui J, Luan S, Cao J, Dai P, Meng X, Luo K, Chen B, Tan J, Fu Q, Kong J. Genomic signatures of artificial selection in fecundity of Pacific white shrimp, Penaeus vannamei. Front Genet 2022; 13:929889. [PMID: 36105098 PMCID: PMC9465174 DOI: 10.3389/fgene.2022.929889] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 07/14/2022] [Indexed: 12/04/2022] Open
Abstract
Penaeusvannamei is the most important economic shrimp in the world. Many selective breeding programs are carried out to improve its production and performance traits. Although significant differences in the reproductive ability of female P. vannamei under artificial breeding conditions have been reported, the genome-wide adaption of the reproductive ability of domesticated female P. vannamei is less investigated. In this study, whole-genome analysis was performed along with pooled DNA sequencing on two fecundity separated bulks, high fecundity bulk (HB), and low fecundity bulk (LB). Each bulk contained 30 individuals from 3 commercial populations. A sequencing depth of >30× was achieved for each bulk, leading to the identification of 625,181 and 629,748 single nucleotide polymorphisms (SNPs) in HB and LB, respectively. Fixation index (Fst) combined with p ratio allowed for the identification of 145 selective sweep regions, with a sequence length of 14.5 Mb, accounting for 0.59% of the genome. Among the 145 selective sweep regions, a total of 64,046 SNPs were identified, and further verification was performed by genotyping 50 candidate SNPs on 60 samples from the offspring of the three populations. Furthermore, 121 genes were screened from the sweep regions. GO annotation and KEGG enrichment analyses showed that partial genes were essential for fecundity regulation. This study provides important information for in-depth investigation of genomic characteristics for long-term selective breeding on the fecundity of female P. vannamei and will also be important for genome-assisted breeding of P. vannamei in the future.
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Affiliation(s)
- Juan Sui
- Key Laboratory for Sustainable Utilization of Marine Fisheries Resources, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Sheng Luan
- Key Laboratory for Sustainable Utilization of Marine Fisheries Resources, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Jiawang Cao
- Key Laboratory for Sustainable Utilization of Marine Fisheries Resources, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Ping Dai
- Key Laboratory for Sustainable Utilization of Marine Fisheries Resources, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Xianhong Meng
- Key Laboratory for Sustainable Utilization of Marine Fisheries Resources, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Kun Luo
- Key Laboratory for Sustainable Utilization of Marine Fisheries Resources, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Baolong Chen
- Key Laboratory for Sustainable Utilization of Marine Fisheries Resources, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Jian Tan
- Key Laboratory for Sustainable Utilization of Marine Fisheries Resources, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Qiang Fu
- Key Laboratory for Sustainable Utilization of Marine Fisheries Resources, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
| | - Jie Kong
- Key Laboratory for Sustainable Utilization of Marine Fisheries Resources, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- *Correspondence: Jie Kong,
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López ME, Cádiz MI, Rondeau EB, Koop BF, Yáñez JM. Detection of selection signatures in farmed coho salmon (Oncorhynchus kisutch) using dense genome-wide information. Sci Rep 2021; 11:9685. [PMID: 33958603 PMCID: PMC8102513 DOI: 10.1038/s41598-021-86154-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 02/08/2021] [Indexed: 01/01/2023] Open
Abstract
Animal domestication and artificial selection give rise to gradual changes at the genomic level in populations. Subsequent footprints of selection, known as selection signatures or selective sweeps, have been traced in the genomes of many animal livestock species by exploiting variation in linkage disequilibrium patterns and/or reduction of genetic diversity. Domestication of most aquatic species is recent in comparison with land animals, and salmonids are one of the most important fish species in aquaculture. Coho salmon (Oncorhynchus kisutch), cultivated primarily in Chile, has been subjected to breeding programs to improve growth, disease resistance traits, and flesh color. This study aimed to identify selection signatures that may be involved in adaptation to culture conditions and traits of productive interest. To do so, individuals of two domestic populations cultured in Chile were genotyped with 200 thousand SNPs, and analyses were conducted using iHS, XP-EHH and CLR. Several signatures of selection on different chromosomal regions were detected across both populations. Some of the identified regions under selection contained genes such anapc2, alad, chp2 and myn, which have been previously associated with body weight in Atlantic salmon, or sec24d and robo1, which have been associated with resistance to Piscirickettsia salmonis in coho salmon. Findings in our study can contribute to an integrated genome-wide map of selection signatures, to help identify the genetic mechanisms of phenotypic diversity in coho salmon.
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Affiliation(s)
- M E López
- Department of Aquatic Resources, Swedish University of Agricultural Sciences, Drottningholm, Sweden
| | - M I Cádiz
- Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago, Chile
| | - E B Rondeau
- Department of Biology, University of Victoria, Victoria, British Columbia, Canada
| | - B F Koop
- Department of Biology, University of Victoria, Victoria, British Columbia, Canada
| | - J M Yáñez
- Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago, Chile. .,Núcleo Milenio INVASAL, Concepción, Chile.
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5
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Fish TNF and TNF receptors. SCIENCE CHINA-LIFE SCIENCES 2020; 64:196-220. [DOI: 10.1007/s11427-020-1712-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 05/12/2020] [Indexed: 12/29/2022]
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6
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On the causes of geographically heterogeneous parallel evolution in sticklebacks. Nat Ecol Evol 2020; 4:1105-1115. [DOI: 10.1038/s41559-020-1222-6] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 05/14/2020] [Indexed: 12/22/2022]
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7
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Smith C, Zięba G, Spence R, Klepaker T, Przybylski M. Three‐spined stickleback armour predicted by body size, minimum winter temperature and pH. J Zool (1987) 2020. [DOI: 10.1111/jzo.12766] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- C. Smith
- Department of Ecology & Vertebrate Zoology University of Łódź Łódź Poland
- School of Animal Rural & Environmental Sciences Nottingham Trent University Southwell UK
- Institute of Vertebrate Biology Academy of Sciences of the Czech Republic Brno Czech Republic
| | - G. Zięba
- Department of Ecology & Vertebrate Zoology University of Łódź Łódź Poland
| | - R. Spence
- School of Animal Rural & Environmental Sciences Nottingham Trent University Southwell UK
- Institute of Vertebrate Biology Academy of Sciences of the Czech Republic Brno Czech Republic
| | - T. Klepaker
- Department of Biology University of Bergen Bergen Norway
| | - M. Przybylski
- Department of Ecology & Vertebrate Zoology University of Łódź Łódź Poland
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López ME, Benestan L, Moore J, Perrier C, Gilbey J, Di Genova A, Maass A, Diaz D, Lhorente J, Correa K, Neira R, Bernatchez L, Yáñez JM. Comparing genomic signatures of domestication in two Atlantic salmon ( Salmo salar L.) populations with different geographical origins. Evol Appl 2019; 12:137-156. [PMID: 30622641 PMCID: PMC6304691 DOI: 10.1111/eva.12689] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Revised: 06/29/2018] [Accepted: 07/17/2018] [Indexed: 12/16/2022] Open
Abstract
Selective breeding and genetic improvement have left detectable signatures on the genomes of domestic species. The elucidation of such signatures is fundamental for detecting genomic regions of biological relevance to domestication and improving management practices. In aquaculture, domestication was carried out independently in different locations worldwide, which provides opportunities to study the parallel effects of domestication on the genome of individuals that have been selected for similar traits. In this study, we aimed to detect potential genomic signatures of domestication in two independent pairs of wild/domesticated Atlantic salmon populations of Canadian and Scottish origins, respectively. Putative genomic regions under divergent selection were investigated using a 200K SNP array by combining three different statistical methods based either on allele frequencies (LFMM, Bayescan) or haplotype differentiation (Rsb). We identified 337 and 270 SNPs potentially under divergent selection in wild and hatchery populations of Canadian and Scottish origins, respectively. We observed little overlap between results obtained from different statistical methods, highlighting the need to test complementary approaches for detecting a broad range of genomic footprints of selection. The vast majority of the outliers detected were population-specific but we found four candidate genes that were shared between the populations. We propose that these candidate genes may play a role in the parallel process of domestication. Overall, our results suggest that genetic drift may have override the effect of artificial selection and/or point toward a different genetic basis underlying the expression of similar traits in different domesticated strains. Finally, it is likely that domestication may predominantly target polygenic traits (e.g., growth) such that its genomic impact might be more difficult to detect with methods assuming selective sweeps.
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Affiliation(s)
- Maria E. López
- Facultad de Ciencias Veterinarias y PecuariasUniversidad de ChileSantiagoChile
- Facultad de Ciencias AgronómicasUniversidad de ChileSantiagoChile
| | - Laura Benestan
- IBISInstitut de Biologie Intégrative et des SystèmesUniversité LavalQuébec CityQuébecCanada
| | - Jean‐Sebastien Moore
- IBISInstitut de Biologie Intégrative et des SystèmesUniversité LavalQuébec CityQuébecCanada
| | - Charles Perrier
- Centre d’Écologie Fonctionnelle et ÉvolutiveUnité Mixte de Recherche CNRS 5175MontpellierFrance
| | - John Gilbey
- Marine Scotland ScienceFreshwater Fisheries LaboratoryFaskallyPitlochryUK
| | - Alex Di Genova
- Laboratory of Bioinformatics and Mathematics of the GenomeCenter for Mathematical Modeling (UMI 2807 CNRS) and Center for Genome Regulation (Fondap 15090007)Universidad de ChileSantiagoChile
| | - Alejandro Maass
- Laboratory of Bioinformatics and Mathematics of the GenomeCenter for Mathematical Modeling (UMI 2807 CNRS) and Center for Genome Regulation (Fondap 15090007)Universidad de ChileSantiagoChile
| | - Diego Diaz
- Laboratory of Bioinformatics and Mathematics of the GenomeCenter for Mathematical Modeling (UMI 2807 CNRS) and Center for Genome Regulation (Fondap 15090007)Universidad de ChileSantiagoChile
| | | | | | - Roberto Neira
- Facultad de Ciencias AgronómicasUniversidad de ChileSantiagoChile
| | - Louis Bernatchez
- IBISInstitut de Biologie Intégrative et des SystèmesUniversité LavalQuébec CityQuébecCanada
| | - José M. Yáñez
- Facultad de Ciencias Veterinarias y PecuariasUniversidad de ChileSantiagoChile
- AquainnovoPuerto MonttChile
- Núcleo Milenio INVASALConcepciónChile
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9
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Hohenlohe PA, Magalhaes IS. The Population Genomics of Parallel Adaptation: Lessons from Threespine Stickleback. POPULATION GENOMICS 2019. [DOI: 10.1007/13836_2019_67] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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10
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Bolnick DI, Barrett RD, Oke KB, Rennison DJ, Stuart YE. (Non)Parallel Evolution. ANNUAL REVIEW OF ECOLOGY EVOLUTION AND SYSTEMATICS 2018. [DOI: 10.1146/annurev-ecolsys-110617-062240] [Citation(s) in RCA: 155] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Parallel evolution across replicate populations has provided evolutionary biologists with iconic examples of adaptation. When multiple populations colonize seemingly similar habitats, they may evolve similar genes, traits, or functions. Yet, replicated evolution in nature or in the laboratory often yields inconsistent outcomes: Some replicate populations evolve along highly similar trajectories, whereas other replicate populations evolve to different extents or in distinct directions. To understand these heterogeneous outcomes, biologists are increasingly treating parallel evolution not as a binary phenomenon but rather as a quantitative continuum ranging from parallel to nonparallel. By measuring replicate populations’ positions along this (non)parallel continuum, we can test hypotheses about evolutionary and ecological factors that influence the extent of repeatable evolution. We review evidence regarding the manifestation of (non)parallel evolution in the laboratory, in natural populations, and in applied contexts such as cancer. We enumerate the many genetic, ecological, and evolutionary processes that contribute to variation in the extent of parallel evolution.
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Affiliation(s)
- Daniel I. Bolnick
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas 78712, USA
- Current affiliation: Department of Ecology and Evolution, University of Connecticut, Storrs, Connecticut 06268, USA
| | | | - Krista B. Oke
- Redpath Museum, McGill University, Montreal, Quebec H3A 2K6, Canada
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, California 95060, USA
| | - Diana J. Rennison
- Institute of Ecology and Evolution, University of Bern, 3012 Bern, Switzerland
| | - Yoel E. Stuart
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas 78712, USA
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Dammark KB, Ferchaud AL, Hansen MM, Sørensen JG. Heat tolerance and gene expression responses to heat stress in threespine sticklebacks from ecologically divergent environments. J Therm Biol 2018; 75:88-96. [DOI: 10.1016/j.jtherbio.2018.06.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 04/25/2018] [Accepted: 06/03/2018] [Indexed: 01/23/2023]
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12
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Weigand H, Leese F. Detecting signatures of positive selection in non-model species using genomic data. Zool J Linn Soc 2018. [DOI: 10.1093/zoolinnean/zly007] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Hannah Weigand
- Aquatic Ecosystem Research, University of Duisburg-Essen, Universitätsstraße, Essen, Germany
| | - Florian Leese
- Aquatic Ecosystem Research, University of Duisburg-Essen, Universitätsstraße, Essen, Germany
- Centre for Water and Environmental Research (ZWU), University of Duisburg-Essen, Universitätsstraße, Essen, Germany
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