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Zinenko O, Sovic M, Joger U, Gibbs HL. Hybrid origin of European Vipers (Vipera magnifica and Vipera orlovi) from the Caucasus determined using genomic scale DNA markers. BMC Evol Biol 2016; 16:76. [PMID: 27068498 PMCID: PMC4828770 DOI: 10.1186/s12862-016-0647-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Accepted: 03/31/2016] [Indexed: 12/29/2022] Open
Abstract
Background Studying patterns of introgression can illuminate the role of hybridization in speciation, and help guide decisions relevant to the conservation of rare taxa. Vipera magnifica and Vipera orlovi are small vipers that have high conservation status due to their rarity and restricted distributions in an area of the Caucasus region where two other related species are present – V. kaznakovi and V. renardi. Despite numerous observations of hybridization between different species of small vipers, and the potential of a hybrid origin for V. magnifica and V. orlovi based on their distribution with respect to V. kaznakovi and V. renardi, hypotheses of a hybrid origin have not been formally tested. Here we generate genomic-scale data by performing next generation sequencing of double digest restriction-site associated DNA libraries, and use these multilocus data to test whether these two species are of hybrid origin. Results We generated over nine hundred loci for 38 specimens of six taxa, and analysed the dataset using Bayesian clustering and multivariate methods, as well as Patterson D-statistics, which can distinguish between incomplete lineage sorting and introgression as explanations for shared polymorphism. The results demonstrate a pattern of historical admixture in the two purported hybrids that is consistent with past gene flow from V. renardi into V. kaznakovi. The average admixture proportion in individuals was low (6.39 %) in the case of V. magnifica, but was higher in V. orlovi (19.02 %). We also show that the specific individual samples used in D-statistic tests can have a significant impact on inferences regarding the magnitude of introgression, suggesting the importance of including multiple individuals in these analyses. Conclusions Our results support the conclusion that both V. orlovi and V. magnifica had formed through a hybridization event between V. kaznakovi and V. renardi. Given a low proportion of admixture and absence of clear ecological and morphological differences V. magnifica should be treated as a marginal population of V. kaznakovi. Further studies that include analyses of ecological segregation of V. orlovi from parental taxa and search for evolutionary consequences of hybridisation would clarify if V. orlovi is a distinct hybrid species. Until this we recommend preserving the current taxonomy and protection status of V. orlovi. Electronic supplementary material The online version of this article (doi:10.1186/s12862-016-0647-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Oleksandr Zinenko
- The Museum of Nature at V.N. Karazin Kharkiv National University, Trinkler str. 8, Kharkiv, 61058, Ukraine. .,Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Aronoff Laboratory, 318 W. 12th Avenue, Columbus, OH, 43210, USA.
| | - Michael Sovic
- Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Aronoff Laboratory, 318 W. 12th Avenue, Columbus, OH, 43210, USA.,The Ohio Biodiversity Conservation Partnership, The Ohio State University, Aronoff Laboratory, 318 W. 12th Avenue, Columbus, OH, 43210, USA
| | - Ulrich Joger
- Staatliches Naturhistorisches Museum Braunschweig, Gausstrasse 22, Braunschweig , D-38106, , Germany
| | - H Lisle Gibbs
- Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Aronoff Laboratory, 318 W. 12th Avenue, Columbus, OH, 43210, USA.,The Ohio Biodiversity Conservation Partnership, The Ohio State University, Aronoff Laboratory, 318 W. 12th Avenue, Columbus, OH, 43210, USA
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Zhu X, Dong L, Jiang L, Li H, Sun L, Zhang H, Yu W, Liu H, Dai W, Zeng Y, Wu R. Constructing a linkage-linkage disequilibrium map using dominant-segregating markers. DNA Res 2015; 23:1-10. [PMID: 26622063 PMCID: PMC4755522 DOI: 10.1093/dnares/dsv031] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Accepted: 10/19/2015] [Indexed: 01/28/2023] Open
Abstract
The relationship between linkage disequilibrium (LD) and recombination fraction can be used to infer the pattern of genetic variation and evolutionary process in humans and other systems. We described a computational framework to construct a linkage–LD map from commonly used biallelic, single-nucleotide polymorphism (SNP) markers for outcrossing plants by which the decline of LD is visualized with genetic distance. The framework was derived from an open-pollinated (OP) design composed of plants randomly sampled from a natural population and seeds from each sampled plant, enabling simultaneous estimation of the LD in the natural population and recombination fraction due to allelic co-segregation during meiosis. We modified the framework to infer evolutionary pasts of natural populations using those marker types that are segregating in a dominant manner, given their role in creating and maintaining population genetic diversity. A sophisticated two-level EM algorithm was implemented to estimate and retrieve the missing information of segregation characterized by dominant-segregating markers such as single methylation polymorphisms. The model was applied to study the relationship between linkage and LD for a non-model outcrossing species, a gymnosperm species, Torreya grandis, naturally distributed in mountains of the southeastern China. The linkage–LD map constructed from various types of molecular markers opens a powerful gateway for studying the history of plant evolution.
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Affiliation(s)
- Xuli Zhu
- Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Leiming Dong
- The Nurturing Station for the State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, Zhejiang 311300, China
| | - Libo Jiang
- Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Huan Li
- Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Lidan Sun
- National Engineering Research Center for Floriculture, Beijing Forestry University, Beijing 10083, China Center for Statistical Genetics, The Pennsylvania State University, Hershey, PA 17033, USA
| | - Hui Zhang
- The Nurturing Station for the State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, Zhejiang 311300, China
| | - Weiwu Yu
- The Nurturing Station for the State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, Zhejiang 311300, China
| | - Haokai Liu
- The Nurturing Station for the State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, Zhejiang 311300, China
| | - Wensheng Dai
- The Nurturing Station for the State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, Zhejiang 311300, China
| | - Yanru Zeng
- The Nurturing Station for the State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, Zhejiang 311300, China
| | - Rongling Wu
- Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China Center for Statistical Genetics, The Pennsylvania State University, Hershey, PA 17033, USA
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