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Kotsakiozi P, Antoniou A, Psonis N, Sagonas Κ, Karameta E, Ilgaz Ç, Kumlutaş Y, Avcı A, Jablonski D, Darriba D, Stamatakis A, Lymberakis P, Poulakakis N. Cryptic diversity and phylogeographic patterns of Mediodactylus species in the Eastern Mediterranean region. Mol Phylogenet Evol 2024; 197:108091. [PMID: 38719080 DOI: 10.1016/j.ympev.2024.108091] [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: 09/08/2023] [Revised: 04/18/2024] [Accepted: 05/04/2024] [Indexed: 05/20/2024]
Abstract
Cryptic diversity poses a great obstacle in our attempts to assess the current biodiversity crisis and may hamper conservation efforts. The gekkonid genus Mediodactylus, a well-known case of hidden species and genetic diversity, has been taxonomically reclassified several times during the last decade. Focusing on the Mediterranean populations, a recent study within the M. kotschyi species complex using classic mtDNA/nuDNA markers suggested the existence of five distinct species, some being endemic and some possibly threatened, yet their relationships have not been fully resolved. Here, we generated genome-wide SNPs (using ddRADseq) and applied molecular species delimitation approaches and population genomic analyses to further disentangle these relationships. Τhe most extensive nuclear dataset, so far, encompassing 2,360 loci and ∼ 699,000 bp from across the genome of Mediodactylus gecko, enabled us to resolve previously obscure phylogenetic relationships among the five, recently elevated, Mediodactylus species and to support the hypothesis that the taxon includes several new, undescribed species. Population genomic analyses within each of the proposed species showed strong genetic structure and high levels of genetic differentiation among populations.
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Affiliation(s)
- Panayiota Kotsakiozi
- Natural History Museum of Crete, School of Sciences and Engineering, University of Crete, Knossos Avenue, Heraklion 71409, Greece; Department of Biology, School of Sciences and Engineering, University of Crete, Vassilika Vouton, Heraklion 70013, Greece.
| | - Aglaia Antoniou
- Hellenic Centre for Marine Research, Institute of Marine Biology, Biotechnology and Aquaculture, Heraklion 71003, P.O. Box 2214, Crete, Greece
| | - Nikolaos Psonis
- Natural History Museum of Crete, School of Sciences and Engineering, University of Crete, Knossos Avenue, Heraklion 71409, Greece; Department of Biology, School of Sciences and Engineering, University of Crete, Vassilika Vouton, Heraklion 70013, Greece
| | - Κostas Sagonas
- Natural History Museum of Crete, School of Sciences and Engineering, University of Crete, Knossos Avenue, Heraklion 71409, Greece; Department of Biology, School of Sciences and Engineering, University of Crete, Vassilika Vouton, Heraklion 70013, Greece
| | - Emmanouela Karameta
- Natural History Museum of Crete, School of Sciences and Engineering, University of Crete, Knossos Avenue, Heraklion 71409, Greece; Department of Biology, School of Sciences and Engineering, University of Crete, Vassilika Vouton, Heraklion 70013, Greece
| | - Çetin Ilgaz
- Department of Biology, Faculty of Science, Dokuz Eylül University, Buca/İzmir 35160, Türkiye
| | - Yusuf Kumlutaş
- Department of Biology, Faculty of Science, Dokuz Eylül University, Buca/İzmir 35160, Türkiye
| | - Aziz Avcı
- Department of Biology, Faculty of Science, Aydın Adnan Menderes University, Aydın 09010, Türkiye
| | - Daniel Jablonski
- Department of Zoology, Comenius University in Bratislava, Mlynská dolina, Ilkovičova 6, 84215 Bratislava, Slovakia
| | - Diego Darriba
- Computer Architecture Group, Centro de investigación CITIC, University of A Coruña, A Coruña, Spain
| | - Alexandros Stamatakis
- Institute of Computer Science, Foundation for Research and Technology-Hellas, Greece; Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, 69118 Heidelberg, Germany; Department of Informatics, Institute of Theoretical Informatics, Karlsruhe Institute of Technology, Karlsruhe 76128, Germany
| | - Petros Lymberakis
- Natural History Museum of Crete, School of Sciences and Engineering, University of Crete, Knossos Avenue, Heraklion 71409, Greece
| | - Nikos Poulakakis
- Natural History Museum of Crete, School of Sciences and Engineering, University of Crete, Knossos Avenue, Heraklion 71409, Greece; Department of Biology, School of Sciences and Engineering, University of Crete, Vassilika Vouton, Heraklion 70013, Greece
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2
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Żabicka J, Kirschey T, Migdałek G, Słomka A, Kuta E. Genetic Variation versus Morphological Variability in European Peatland Violets (Viola epipsila—V. palustris Group). BIOLOGY 2023; 12:biology12030362. [PMID: 36979054 PMCID: PMC10045548 DOI: 10.3390/biology12030362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 03/03/2023]
Abstract
In Europe, the V. epipsila—V. palustris group comprises V. epipsila Ledeb., V. palustris L., V. pubifolia (Kuta) G. H. Loos (=V. palustris subsp. pubifolia Kuta), interspecific hybrids, and putative introgressants. The genetic affinity of V. pubifolia to V. palustris, and their shared origin via hybridization followed by polyploidization, were confirmed using inter simple sequence repeat (ISSR) markers, restriction site-associated DNA sequencing (RAD-Seq), and a low-copy nuclear gene, GPI, which encodes glucose-6-phosphate isomerase. The other taxa of subsect. Stolonosae were not identified as putative parents of V. pubifolia by GPI. Our analyses indicated that V. pubifolia can be included in the morphological and genetic variation of V. palustris. The ISSR, RAD-Seq, and genome size value separated well V. palustris from V. epipsila and hybrids. The results also reopen the discussion on intraspecific variation in the context of taxa ranks and species concepts. The reduced tolerance of V. epipsila in Europe to changing environmental conditions might result from low genetic differentiation and heterozygosity, as well as the increased number of interspecific hybrids (V. epipsila × V. palustris), and eventually can possibly lead to its extinction. The disappearance of populations/individuals of this species may indicate anthropogenic changes occurring in peatlands.
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Affiliation(s)
- Justyna Żabicka
- Department of Plant Cytology and Embryology, Institute of Botany, Faculty of Biology, Jagiellonian University in Kraków, 9 Gronostajowa St., 30-387 Cracow, Poland
- Correspondence:
| | - Tom Kirschey
- International Peatland and Southeast Asia Programme, International Department, The Nature and Biodiversity Conservation Union (NABU), 3 Charitéstrasse, 10117 Berlin, Germany
| | - Grzegorz Migdałek
- Institute of Biology and Earth Sciences, Pedagogical University of Cracow, 2 Podchorążych St., 30-084 Cracow, Poland
| | - Aneta Słomka
- Department of Plant Cytology and Embryology, Institute of Botany, Faculty of Biology, Jagiellonian University in Kraków, 9 Gronostajowa St., 30-387 Cracow, Poland
| | - Elżbieta Kuta
- Department of Plant Cytology and Embryology, Institute of Botany, Faculty of Biology, Jagiellonian University in Kraków, 9 Gronostajowa St., 30-387 Cracow, Poland
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3
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Kriangwanich W, Buddhachat K, Poommouang A, Chomdej S, Thitaram C, Kaewmong P, Kittiwattanawong K, Nganvongpanit K. Feasibility of melting fingerprint obtained from ISSR-HRM curves for marine mammal species identification. PeerJ 2021; 9:e11689. [PMID: 34239781 PMCID: PMC8237827 DOI: 10.7717/peerj.11689] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 06/07/2021] [Indexed: 12/19/2022] Open
Abstract
Currently, species identification of stranded marine mammals mostly relies on morphological features, which has inherent challenges. The use of genetic information for marine mammal species identification remains limited, therefore, new approaches that can contribute to a better monitoring of stranded species are needed. In that context, the ISSR-HRM method we have proposed offers a new approach for marine mammal species identification. Consequently, new approaches need to be developed to identify individuals at the species level. Eight primers of the ISSR markers were chosen for HRM analysis resulting in ranges of accuracy of 56.78–75.50% and 52.14–75.93% in terms of precision, while a degree of sensitivity of more than 80% was recorded when each single primer was used. The ISSR-HRM primer combinations revealed a success rate of 100% in terms of discrimination for all marine mammals included in this study. Furthermore, ISSR-HRM analysis was successfully employed in determining marine mammal discrimination among varying marine mammal species. Thus, ISSR-HRM analysis could serve as an effective alternative tool in the species identification process. This option would offer researchers a heightened level of convenience in terms of its performance and success rate. It would also offer field practice to veterinarians, biologists and other field-related people a greater degree of ease with which they could interpret results when effectively classifying stranded marine mammals. However, further studies with more samples and with a broader geographical scope will be required involving distinct populations to account for the high degree of intraspecific variability in cetaceans and to demonstrate the range of applications of this approach.
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Affiliation(s)
- Wannapimol Kriangwanich
- Department of Veterinary Biosciences and Public Health, Faculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Kittisak Buddhachat
- Excellence Center in Veterinary Bioscience, Chiang Mai University, Chiang Mai, Thailand.,Department of Biology, Faculty of Science, Naresuan University, Phitsanulok, Thailand
| | - Anocha Poommouang
- Department of Veterinary Biosciences and Public Health, Faculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Siriwadee Chomdej
- Excellence Center in Veterinary Bioscience, Chiang Mai University, Chiang Mai, Thailand.,Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
| | - Chatchote Thitaram
- Center of Elephant and Wildlife Health, Faculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand
| | | | | | - Korakot Nganvongpanit
- Department of Veterinary Biosciences and Public Health, Faculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand
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4
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Zhang P, Zhao Y, Li C, Lin M, Dong L, Zhang R, Liu M, Li K, Zhang H, Liu X, Zhang Y, Yuan Y, Liu H, Seim I, Sun S, Du X, Chang Y, Li F, Liu S, Lee SMY, Wang K, Wang D, Wang X, McGowen MR, Jefferson TA, Olsen MT, Stiller J, Zhang G, Xu X, Yang H, Fan G, Liu X, Li S. An Indo-Pacific Humpback Dolphin Genome Reveals Insights into Chromosome Evolution and the Demography of a Vulnerable Species. iScience 2020; 23:101640. [PMID: 33103078 PMCID: PMC7569330 DOI: 10.1016/j.isci.2020.101640] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 08/25/2020] [Accepted: 09/30/2020] [Indexed: 01/12/2023] Open
Abstract
The Indo-Pacific humpback dolphin (Sousa chinensis) is a small inshore species of odontocete cetacean listed as Vulnerable on the IUCN Red List. Here, we report on the evolution of S. chinensis chromosomes from its cetruminant ancestor and elucidate the evolutionary history and population genetics of two neighboring S. chinensis populations. We found that breakpoints in ancestral chromosomes leading to S. chinensis could have affected the function of genes related to kidney filtration, body development, and immunity. Resequencing of individuals from two neighboring populations in the northwestern South China Sea, Leizhou Bay and Sanniang Bay, revealed genetic differentiation, low diversity, and small contemporary effective population sizes. Demographic analyses showed a marked decrease in the population size of the two investigated populations over the last ~4,000 years, possibly related to climatic oscillations. This study implies a high risk of extinction and strong conservation requirement for the Indo-Pacific humpback dolphin. Deducing chromosome evolution from ancestral Cetruminantia and ancestral Odontoceti Reconstructing the demographic history of Sousa chinensis Implying high risk of extinction and strong conservation requirement for S. chinensis
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Affiliation(s)
- Peijun Zhang
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, Hainan 572000, China
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark
| | - Yong Zhao
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
| | - Chang Li
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, Guangdong 518083, China
| | - Mingli Lin
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, Hainan 572000, China
| | - Lijun Dong
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, Hainan 572000, China
| | - Rui Zhang
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
| | - Mingzhong Liu
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, Hainan 572000, China
| | - Kuan Li
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, Hainan 572000, China
| | - He Zhang
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
- Department of Biology, Hong Kong Baptist University, Hong Kong, China
| | - Xiaochuan Liu
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
| | - Yaolei Zhang
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby 2800, Denmark
| | - Yuan Yuan
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, Hainan 572000, China
- Center for Ecological and Environmental Sciences, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China
| | - Huan Liu
- BGI-Shenzhen, Shenzhen, Guangdong 518083, China
| | - Inge Seim
- Integrative Biology Laboratory, College of Life Sciences, Nanjing Normal University, Nanjing, Jiangsu 210023, China
- Comparative and Endocrine Biology Laboratory, Translational Research Institute-Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Brisbane 4102, Australia
| | - Shuai Sun
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
| | - Xiao Du
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
| | - Yue Chang
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
| | - Feida Li
- BGI-Shenzhen, Shenzhen, Guangdong 518083, China
| | - Shanshan Liu
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
| | - Simon Ming-Yuen Lee
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao 999078, China
| | - Kun Wang
- Center for Ecological and Environmental Sciences, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China
| | - Ding Wang
- Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072, China
| | - Xianyan Wang
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, Fujian 361005, China
| | - Michael R. McGowen
- Department of Vertebrate Zoology, Smithsonian National Museum of Natural History, Washington DC 20560, USA
| | | | - Morten Tange Olsen
- Evolutionary Genomics Section, Globe Institute, University of Copenhagen, Øster Farimagsgade 5, Copenhagen 1353, Denmark
| | - Josefin Stiller
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark
| | - Guojie Zhang
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark
- China National GeneBank, BGI-Shenzhen, Shenzhen, Guangdong 518120, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Xun Xu
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
- BGI-Shenzhen, Shenzhen, Guangdong 518083, China
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen, Guangdong 518083, China
- China National GeneBank, BGI-Shenzhen, Shenzhen, Guangdong 518120, China
| | - Guangyi Fan
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao 999078, China
- Corresponding author
| | - Xin Liu
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266555, China
- BGI-Shenzhen, Shenzhen, Guangdong 518083, China
- BGI-Fuyang, BGI-Shenzhen, Fuyang, Anhui 236009, China
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, Guandong 518083, China
- Corresponding author
| | - Songhai Li
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, Hainan 572000, China
- Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong 266237, China
- Tropical Marine Science Institute, National University of Singapore, Singapore 119227, Singapore
- Corresponding author
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5
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Erickson KL, Pentico A, Quattrini AM, McFadden CS. New approaches to species delimitation and population structure of anthozoans: Two case studies of octocorals using ultraconserved elements and exons. Mol Ecol Resour 2020; 21:78-92. [PMID: 32786110 DOI: 10.1111/1755-0998.13241] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 08/04/2020] [Indexed: 01/06/2023]
Abstract
As coral populations decline worldwide in the face of ongoing environmental change, documenting their distribution, diversity and conservation status is now more imperative than ever. Accurate delimitation and identification of species is a critical first step. This task, however, is not trivial as morphological variation and slowly evolving molecular markers confound species identification. New approaches to species delimitation in corals are needed to overcome these challenges. Here, we test whether target enrichment of ultraconserved elements (UCEs) and exons can be used for delimiting species boundaries and population structure within species of corals by focusing on two octocoral genera, Alcyonium and Sinularia, as exemplary case studies. We designed an updated bait set (29,181 baits) to target-capture 3,023 UCE and exon loci, recovering a mean of 1,910 ± 168 SD per sample with a mean length of 1,055 ± 208 bp. Similar numbers of loci were recovered from Sinularia (1,946 ± 227 SD) and Alcyonium (1,863 ± 177 SD). Species-level phylogenies were highly supported for both genera. Clustering methods based on filtered single nucleotide polymorphisms delimited species and populations that are congruent with previous allozyme, DNA barcoding, reproductive and ecological data for Alcyonium, and offered further evidence of hybridization among species. For Sinularia, results were congruent with those obtained from a previous study using restriction site associated DNA sequencing. Both case studies demonstrate the utility of target-enrichment of UCEs and exons to address a wide range of evolutionary and taxonomic questions across deep to shallow timescales in corals.
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Affiliation(s)
| | - Alicia Pentico
- Department of Biology, Harvey Mudd College, Claremont, CA, USA
| | - Andrea M Quattrini
- Department of Biology, Harvey Mudd College, Claremont, CA, USA.,Department of Invertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
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Rancilhac L, Goudarzi F, Gehara M, Hemami MR, Elmer KR, Vences M, Steinfarz S. Phylogeny and species delimitation of near Eastern Neurergus newts (Salamandridae) based on genome-wide RADseq data analysis. Mol Phylogenet Evol 2019; 133:189-197. [PMID: 30659915 DOI: 10.1016/j.ympev.2019.01.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 01/01/2019] [Accepted: 01/01/2019] [Indexed: 10/27/2022]
Abstract
We reconstruct the molecular phylogeny of Near Eastern mountain brook newts of the genus Neurergus (family Salamandridae) based on newly determined RADseq data, and compare the outcomes of concatenation-based phylogenetic reconstruction with species-tree inference. Furthermore, we test the current taxonomy of Neurergus (with four species: Neurergus strauchii, N. crocatus, N. kaiseri, and N. derjugini) against coalescent-based species-delimitation approaches of our genome-wide genetic data set. While the position of N. strauchii as sister species to all other Neurergus species was consistent in all of our analyses, the phylogenetic relationships between the three remaining species changed depending on the applied method. The concatenation approach, as well as quartet-based species-tree inference, supported a topology with N. kaiseri as the closest relative to N. derjugini, while full-coalescent species-tree inference approaches supported N. crocatus as sister species of N. derjugini. Investigating the individual signal of gene trees highlighted an extensive variation among gene histories, most likely resulting from incomplete lineage sorting. Coalescent-based species-delimitation models suggest that the current taxonomy might underestimate the species richness within Neurergus and supports seven species. Based on the current sampling, our analysis suggests that N. strauchii, N. derjugini and N. kaiseri might each be subdivided into further species. However, as amphibian species are known to be composed of deep conspecific lineages that do not always warrant species status, these results need to be cautiously interpreted in an integrative taxonomic framework. We hypothesize that the rather shallow divergences detected within N. kaiseri and N. derjugini likely reflect an ongoing speciation process and thus require further investigation. On the contrary, the much deeper genetic divergence found between the two morphologically and geographically differentiated subspecies of N. strauchii leads us to propose that N. s. barani should be considered a distinct species, Neurergus barani Öz, 1994.
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Affiliation(s)
- Loïs Rancilhac
- Zoological Institute, Technische Universität Braunschweig, Mendelssohnstrasse 4, 38106 Braunschweig, Germany.
| | - Forough Goudarzi
- Zoological Institute, Technische Universität Braunschweig, Mendelssohnstrasse 4, 38106 Braunschweig, Germany; Department of Natural Resources, Isfahan University of Technology, Isfahan, Iran
| | - Marcelo Gehara
- American Museum of Natural History, Department of Herpetology, Central Park West at 79th St, New York, NY 10024, USA
| | - Mahmoud-Reza Hemami
- Department of Natural Resources, Isfahan University of Technology, Isfahan, Iran
| | - Kathryn R Elmer
- Institute of Biodiversity, Animal Health & Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Miguel Vences
- Zoological Institute, Technische Universität Braunschweig, Mendelssohnstrasse 4, 38106 Braunschweig, Germany
| | - Sebastian Steinfarz
- Zoological Institute, Technische Universität Braunschweig, Mendelssohnstrasse 4, 38106 Braunschweig, Germany
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7
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Gramlich S, Wagner ND, Hörandl E. RAD-seq reveals genetic structure of the F 2-generation of natural willow hybrids (Salix L.) and a great potential for interspecific introgression. BMC PLANT BIOLOGY 2018; 18:317. [PMID: 30509159 PMCID: PMC6276181 DOI: 10.1186/s12870-018-1552-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 11/21/2018] [Indexed: 05/23/2023]
Abstract
BACKGROUND Hybridization of species with porous genomes can eventually lead to introgression via repeated backcrossing. The potential for introgression between species is reflected by the extent of segregation distortion in later generation hybrids. Here we studied a population of hybrids between Salix purpurea and S. helvetica that has emerged within the last 30 years on a glacier forefield in the European Alps due to secondary contact of the parental species. We used 5758 biallelic SNPs produced by RAD sequencing with the aim to ascertain the predominance of backcrosses (F1 hybrid x parent) or F2 hybrids (F1 hybrid x F1 hybrid) among hybrid offspring. Further, the SNPs were used to study segregation distortion in the second hybrid generation. RESULTS The analyses in STRUCTURE and NewHybrids revealed that the population consisted of parents and F1 hybrids, whereas hybrid offspring consisted mainly of backcrosses to either parental species, but also some F2 hybrids. Although there was a clear genetic differentiation between S. purpurea and S. helvetica (FST = 0.24), there was no significant segregation distortion in the backcrosses or the F2 hybrids. Plant height of the backcrosses resembled the respective parental species, whereas F2 hybrids were more similar to the subalpine S. helvetica. CONCLUSIONS The co-occurrence of the parental species and the hybrids on the glacier forefield, the high frequency of backcrossing, and the low resistance to gene flow via backcrossing make a scenario of introgression in this young hybrid population highly likely, potentially leading to the transfer of adaptive traits. We further suggest that this willow hybrid population may serve as a model for the evolutionary processes initiated by recent global warming.
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Affiliation(s)
- Susanne Gramlich
- Department of Systematics, Biodiversity and Evolution of Plants (with Herbarium), University Goettingen, Untere Karspüle 2, 37073 Goettingen, Germany
| | - Natascha Dorothea Wagner
- Department of Systematics, Biodiversity and Evolution of Plants (with Herbarium), University Goettingen, Untere Karspüle 2, 37073 Goettingen, Germany
| | - Elvira Hörandl
- Department of Systematics, Biodiversity and Evolution of Plants (with Herbarium), University Goettingen, Untere Karspüle 2, 37073 Goettingen, Germany
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8
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Cammen KM, Schultz TF, Don Bowen W, Hammill MO, Puryear WB, Runstadler J, Wenzel FW, Wood SA, Kinnison M. Genomic signatures of population bottleneck and recovery in Northwest Atlantic pinnipeds. Ecol Evol 2018; 8:6599-6614. [PMID: 30038760 PMCID: PMC6053562 DOI: 10.1002/ece3.4143] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 03/30/2018] [Accepted: 04/04/2018] [Indexed: 12/13/2022] Open
Abstract
Population increases over the past several decades provide natural settings in which to study the evolutionary processes that occur during bottleneck, growth, and spatial expansion. We used parallel natural experiments of historical decline and subsequent recovery in two sympatric pinniped species in the Northwest Atlantic, the gray seal (Halichoerus grypus atlantica) and harbor seal (Phoca vitulina vitulina), to study the impact of recent demographic change in genomic diversity. Using restriction site-associated DNA sequencing, we assessed genomic diversity at over 8,700 polymorphic gray seal loci and 3,700 polymorphic harbor seal loci in samples from multiple cohorts collected throughout recovery over the past half-century. Despite significant differences in the degree of genetic diversity assessed in the two species, we found signatures of historical bottlenecks in the contemporary genomes of both gray and harbor seals. We evaluated temporal trends in diversity across cohorts, as well as compared samples from sites at both the center and edge of a recent gray seal range expansion, but found no significant change in genomewide diversity following recovery. We did, however, find that the variance and degree of allele frequency change measured over the past several decades were significantly different from neutral expectations of drift under population growth. These two cases of well-described demographic history provide opportunities for critical evaluation of current approaches to simulating and understanding the genetic effects of historical demographic change in natural populations.
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Affiliation(s)
| | - Thomas F. Schultz
- Duke University Marine LabNicholas School of the EnvironmentBeaufortNCUSA
| | - W. Don Bowen
- Bedford Institute of OceanographyDartmouthNSCanada
| | - Michael O. Hammill
- Fisheries and Oceans CanadaMaurice Lamontagne InstituteMont‐JoliQCCanada
| | - Wendy B. Puryear
- Department of Infectious Disease and Global HealthCummings School of Veterinary MedicineTufts UniversityNorth GraftonMAUSA
| | - Jonathan Runstadler
- Department of Infectious Disease and Global HealthCummings School of Veterinary MedicineTufts UniversityNorth GraftonMAUSA
| | - Frederick W. Wenzel
- Protected Species Branch, NOAA, NMFSNortheast Fisheries Science CenterWoods HoleMAUSA
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9
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Lee KM, Kivelä SM, Ivanov V, Hausmann A, Kaila L, Wahlberg N, Mutanen M. Information Dropout Patterns in Restriction Site Associated DNA Phylogenomics and a Comparison with Multilocus Sanger Data in a Species-Rich Moth Genus. Syst Biol 2018; 67:925-939. [DOI: 10.1093/sysbio/syy029] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Accepted: 04/10/2018] [Indexed: 11/13/2022] Open
Affiliation(s)
- Kyung Min Lee
- Department of Ecology and Genetics, University of Oulu, Pentti Kaiteran katu 1, FI-90014, Oulu, Finland
| | - Sami M Kivelä
- Department of Ecology and Genetics, University of Oulu, Pentti Kaiteran katu 1, FI-90014, Oulu, Finland
- Department of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Vanemuise 46, EE-51014 Tartu, Estonia
| | - Vladislav Ivanov
- Department of Ecology and Genetics, University of Oulu, Pentti Kaiteran katu 1, FI-90014, Oulu, Finland
| | - Axel Hausmann
- SNSB – Bavarian State Collection of Zoology, Münchhausenstr. 21, D-81247 Munich, Germany
| | - Lauri Kaila
- Finnish Museum of Natural History, Zoology Unit, FI-00014 University of Helsinki, P. Rautatiekatu 13, P.O. Box 17, Helsinki, Finland
| | - Niklas Wahlberg
- Department of Biology, Sölvegatan 37, Lund University, SE-223 62 Lund, Sweden
| | - Marko Mutanen
- Department of Ecology and Genetics, University of Oulu, Pentti Kaiteran katu 1, FI-90014, Oulu, Finland
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10
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Lah L, Trense D, Benke H, Berggren P, Gunnlaugsson Þ, Lockyer C, Öztürk A, Öztürk B, Pawliczka I, Roos A, Siebert U, Skóra K, Víkingsson G, Tiedemann R. Spatially Explicit Analysis of Genome-Wide SNPs Detects Subtle Population Structure in a Mobile Marine Mammal, the Harbor Porpoise. PLoS One 2016; 11:e0162792. [PMID: 27783621 PMCID: PMC5082642 DOI: 10.1371/journal.pone.0162792] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Accepted: 08/29/2016] [Indexed: 02/07/2023] Open
Abstract
The population structure of the highly mobile marine mammal, the harbor porpoise (Phocoena phocoena), in the Atlantic shelf waters follows a pattern of significant isolation-by-distance. The population structure of harbor porpoises from the Baltic Sea, which is connected with the North Sea through a series of basins separated by shallow underwater ridges, however, is more complex. Here, we investigated the population differentiation of harbor porpoises in European Seas with a special focus on the Baltic Sea and adjacent waters, using a population genomics approach. We used 2872 single nucleotide polymorphisms (SNPs), derived from double digest restriction-site associated DNA sequencing (ddRAD-seq), as well as 13 microsatellite loci and mitochondrial haplotypes for the same set of individuals. Spatial principal components analysis (sPCA), and Bayesian clustering on a subset of SNPs suggest three main groupings at the level of all studied regions: the Black Sea, the North Atlantic, and the Baltic Sea. Furthermore, we observed a distinct separation of the North Sea harbor porpoises from the Baltic Sea populations, and identified splits between porpoise populations within the Baltic Sea. We observed a notable distinction between the Belt Sea and the Inner Baltic Sea sub-regions. Improved delineation of harbor porpoise population assignments for the Baltic based on genomic evidence is important for conservation management of this endangered cetacean in threatened habitats, particularly in the Baltic Sea proper. In addition, we show that SNPs outperform microsatellite markers and demonstrate the utility of RAD-tags from a relatively small, opportunistically sampled cetacean sample set for population diversity and divergence analysis.
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Affiliation(s)
- Ljerka Lah
- Unit of Evolutionary Biology/Systematic Zoology, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - Daronja Trense
- Unit of Evolutionary Biology/Systematic Zoology, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | | | - Per Berggren
- Dove Marine Laboratory, School of Marine Science and Technology, Newcastle University, Cullercoats, North Shields, United Kingdom
| | | | | | - Ayaka Öztürk
- Marine Biology Department, Faculty of Fisheries, Istanbul University, Istanbul, Turkey
| | - Bayram Öztürk
- Marine Biology Department, Faculty of Fisheries, Istanbul University, Istanbul, Turkey
| | | | - Anna Roos
- Swedish Museum of Natural History, Stockholm, Sweden
| | - Ursula Siebert
- Institute for Terrestrial and Aquatic Wildlife Research (ITAW), University of Veterinary Medicine Hannover Foundation, Büsum, Germany
| | | | | | - Ralph Tiedemann
- Unit of Evolutionary Biology/Systematic Zoology, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
- * E-mail:
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11
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Cammen KM, Andrews KR, Carroll EL, Foote AD, Humble E, Khudyakov JI, Louis M, McGowen MR, Olsen MT, Van Cise AM. Genomic Methods Take the Plunge: Recent Advances in High-Throughput Sequencing of Marine Mammals. J Hered 2016; 107:481-95. [PMID: 27511190 DOI: 10.1093/jhered/esw044] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Accepted: 07/12/2016] [Indexed: 12/18/2022] Open
Abstract
The dramatic increase in the application of genomic techniques to non-model organisms (NMOs) over the past decade has yielded numerous valuable contributions to evolutionary biology and ecology, many of which would not have been possible with traditional genetic markers. We review this recent progression with a particular focus on genomic studies of marine mammals, a group of taxa that represent key macroevolutionary transitions from terrestrial to marine environments and for which available genomic resources have recently undergone notable rapid growth. Genomic studies of NMOs utilize an expanding range of approaches, including whole genome sequencing, restriction site-associated DNA sequencing, array-based sequencing of single nucleotide polymorphisms and target sequence probes (e.g., exomes), and transcriptome sequencing. These approaches generate different types and quantities of data, and many can be applied with limited or no prior genomic resources, thus overcoming one traditional limitation of research on NMOs. Within marine mammals, such studies have thus far yielded significant contributions to the fields of phylogenomics and comparative genomics, as well as enabled investigations of fitness, demography, and population structure. Here we review the primary options for generating genomic data, introduce several emerging techniques, and discuss the suitability of each approach for different applications in the study of NMOs.
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Affiliation(s)
- Kristina M Cammen
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise).
| | - Kimberly R Andrews
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Emma L Carroll
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Andrew D Foote
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Emily Humble
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Jane I Khudyakov
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Marie Louis
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Michael R McGowen
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Morten Tange Olsen
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
| | - Amy M Van Cise
- From the School of Marine Sciences, University of Maine, Orono, ME 04469 (Cammen); Department of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID 83844-1136 (Andrews); Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews, Fife KY16 8LB, UK (Carroll and Louis); Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern CH-3012, Switzerland (Foote); Department of Animal Behaviour, University of Bielefeld, Postfach 100131, 33501 Bielefeld, Germany (Humble); British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 OET, UK (Humble); Department of Biology, Sonoma State University, Rohnert Park, CA 94928 (Khudyakov); School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK (Mcgowen); Evolutionary Genomics Section, Natural History Museum of Denmark, University of Copenhagen, DK-1353 Copenhagen K, Denmark (Olsen); and Scripps Institution of Oceanography, University of California San Diego, 8622 Kennel Way, La Jolla, CA 92037 (Van Cise)
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12
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Species limits, interspecific hybridization and phylogeny in the cryptic land snail complex Pyramidula: The power of RADseq data. Mol Phylogenet Evol 2016; 101:267-278. [DOI: 10.1016/j.ympev.2016.05.002] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Revised: 04/24/2016] [Accepted: 05/01/2016] [Indexed: 12/31/2022]
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13
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Hellmann JK, Sovic MG, Gibbs HL, Reddon AR, O'Connor CM, Ligocki IY, Marsh-Rollo S, Balshine S, Hamilton IM. Within-group relatedness is correlated with colony-level social structure and reproductive sharing in a social fish. Mol Ecol 2016; 25:4001-13. [PMID: 27297293 DOI: 10.1111/mec.13728] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2016] [Revised: 05/28/2016] [Accepted: 06/01/2016] [Indexed: 11/28/2022]
Affiliation(s)
- Jennifer K. Hellmann
- Department of Evolution, Ecology, and Organismal Biology; The Ohio State University; 318 West 12th Avenue Columbus OH 43210 USA
| | - Michael G. Sovic
- Department of Evolution, Ecology, and Organismal Biology; The Ohio State University; 318 West 12th Avenue Columbus OH 43210 USA
| | - H. Lisle Gibbs
- Department of Evolution, Ecology, and Organismal Biology; The Ohio State University; 318 West 12th Avenue Columbus OH 43210 USA
| | - Adam R. Reddon
- Department of Psychology, Neuroscience, and Behaviour; Aquatic Behavioural Ecology Lab; McMaster University; 1280 Main Street West Hamilton ON Canada L8S 4K1
| | - Constance M. O'Connor
- Department of Psychology, Neuroscience, and Behaviour; Aquatic Behavioural Ecology Lab; McMaster University; 1280 Main Street West Hamilton ON Canada L8S 4K1
| | - Isaac Y. Ligocki
- Department of Evolution, Ecology, and Organismal Biology; The Ohio State University; 318 West 12th Avenue Columbus OH 43210 USA
| | - Susan Marsh-Rollo
- Department of Psychology, Neuroscience, and Behaviour; Aquatic Behavioural Ecology Lab; McMaster University; 1280 Main Street West Hamilton ON Canada L8S 4K1
| | - Sigal Balshine
- Department of Psychology, Neuroscience, and Behaviour; Aquatic Behavioural Ecology Lab; McMaster University; 1280 Main Street West Hamilton ON Canada L8S 4K1
| | - Ian M. Hamilton
- Department of Evolution, Ecology, and Organismal Biology; The Ohio State University; 318 West 12th Avenue Columbus OH 43210 USA
- Department of Mathematics; The Ohio State University; 231 West 18th Avenue Columbus OH 43210 USA
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14
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Ivy JA, Putnam AS, Navarro AY, Gurr J, Ryder OA. Applying SNP-Derived Molecular Coancestry Estimates to Captive Breeding Programs. J Hered 2016; 107:403-12. [PMID: 27208150 DOI: 10.1093/jhered/esw029] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Accepted: 04/22/2016] [Indexed: 12/24/2022] Open
Abstract
Captive breeding programs for wildlife species typically rely on pedigrees to inform genetic management. Although pedigree-based breeding strategies are quite effective at retaining long-term genetic variation, management of zoo-based breeding programs continues to be hampered when pedigrees are poorly known. The objective of this study was to evaluate 2 options for generating single nucleotide polymorphism (SNP) data to resolve unknown relationships within captive breeding programs. We generated SNP data for a zoo-based population of addax (Addax nasomasculatus) using both the Illumina BovineHD BeadChip and double digest restriction site-associated DNA (ddRAD) sequencing. Our results demonstrated that estimates of allele sharing (AS) between pairs of individuals exhibited low variances. Average AS variances were highest when using 50 loci (SNPchipall = 0.00159; ddRADall = 0.0249), but fell below 0.0003 for the SNP chip dataset when sampling ≥250 loci and below 0.0025 for the ddRAD dataset when sampling ≥500 loci. Furthermore, the correlation between the SNPchipall and ddRADall AS datasets was 0.88 (95%CI = 0.84-0.91) when subsampling 500 loci. Collectively, our results indicated that both SNP genotyping methods produced sufficient data for accurately estimating relationships, even within an extremely bottlenecked population. Our results also suggested that analytic assumptions historically integrated into the addax pedigree are not adversely impacting long-term pedigree-based management; kinships calculated from the analytic pedigree were significantly correlated (P << 0.001) with AS estimates. Overall, our conclusions are intended to serve as both a proof of concept and a model for applying molecular data to the genetic management of captive breeding programs.
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Affiliation(s)
- Jamie A Ivy
- From the Department of Life Sciences, San Diego Zoo Global, San Diego, CA 92112-0551 (Ivy and Putnam); Institute for Conservation Research, San Diego Zoo Global, Escondido, CA 92027-7017 (Navarro and Ryder); and Faculty of Veterinary Science, University of Sydney, Sydney, New South Wales, Australia (Gurr)
| | - Andrea S Putnam
- From the Department of Life Sciences, San Diego Zoo Global, San Diego, CA 92112-0551 (Ivy and Putnam); Institute for Conservation Research, San Diego Zoo Global, Escondido, CA 92027-7017 (Navarro and Ryder); and Faculty of Veterinary Science, University of Sydney, Sydney, New South Wales, Australia (Gurr)
| | - Asako Y Navarro
- From the Department of Life Sciences, San Diego Zoo Global, San Diego, CA 92112-0551 (Ivy and Putnam); Institute for Conservation Research, San Diego Zoo Global, Escondido, CA 92027-7017 (Navarro and Ryder); and Faculty of Veterinary Science, University of Sydney, Sydney, New South Wales, Australia (Gurr)
| | - Jessica Gurr
- From the Department of Life Sciences, San Diego Zoo Global, San Diego, CA 92112-0551 (Ivy and Putnam); Institute for Conservation Research, San Diego Zoo Global, Escondido, CA 92027-7017 (Navarro and Ryder); and Faculty of Veterinary Science, University of Sydney, Sydney, New South Wales, Australia (Gurr)
| | - Oliver A Ryder
- From the Department of Life Sciences, San Diego Zoo Global, San Diego, CA 92112-0551 (Ivy and Putnam); Institute for Conservation Research, San Diego Zoo Global, Escondido, CA 92027-7017 (Navarro and Ryder); and Faculty of Veterinary Science, University of Sydney, Sydney, New South Wales, Australia (Gurr)
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15
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Gonen S, Bishop SC, Houston RD. Exploring the utility of cross-laboratory RAD-sequencing datasets for phylogenetic analysis. BMC Res Notes 2015; 8:299. [PMID: 26152111 PMCID: PMC4495686 DOI: 10.1186/s13104-015-1261-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2015] [Accepted: 06/25/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Restriction site-Associated DNA sequencing (RAD-Seq) is widely applied to generate genome-wide sequence and genetic marker datasets. RAD-Seq has been extensively utilised, both at the population level and across species, for example in the construction of phylogenetic trees. However, the consistency of RAD-Seq data generated in different laboratories, and the potential use of cross-species orthologous RAD loci in the estimation of genetic relationships, have not been widely investigated. This study describes the use of SbfI RAD-Seq data for the estimation of evolutionary relationships amongst ten teleost fish species, using previously established phylogeny as a benchmark. RESULTS The number of orthologous SbfI RAD loci identified decreased with increasing evolutionary distance between the species, with several thousand loci conserved across five salmonid species (divergence ~50 MY), and several hundred conserved across the more distantly related teleost species (divergence ~100-360 MY). The majority (>70%) of loci identified between the more distantly related species were genic in origin, suggesting that the bias of SbfI towards genic regions is useful for identifying distant orthologs. Interspecific single nucleotide variants at each orthologous RAD locus were identified. Evolutionary relationships estimated using concatenated sequences of interspecific variants were congruent with previously published phylogenies, even for distantly (divergence up to ~360 MY) related species. CONCLUSION Overall, this study has demonstrated that orthologous SbfI RAD loci can be identified across closely and distantly related species. This has positive implications for the repeatability of SbfI RAD-Seq and its potential to address research questions beyond the scope of the original studies. Furthermore, the concordance in tree topologies and relationships estimated in this study with published teleost phylogenies suggests that similar meta-datasets could be utilised in the prediction of evolutionary relationships across populations and species with readily available RAD-Seq datasets, but for which relationships remain uncharacterised.
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Affiliation(s)
- Serap Gonen
- The Roslin Institute, University of Edinburgh, Midlothian, EH25 9RG, Scotland, UK.
| | - Stephen C Bishop
- The Roslin Institute, University of Edinburgh, Midlothian, EH25 9RG, Scotland, UK.
| | - Ross D Houston
- The Roslin Institute, University of Edinburgh, Midlothian, EH25 9RG, Scotland, UK.
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16
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The evolutionary history of the embiotocid surfperch radiation based on genome-wide RAD sequence data. Mol Phylogenet Evol 2015; 88:55-63. [DOI: 10.1016/j.ympev.2015.03.027] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Revised: 03/29/2015] [Accepted: 03/31/2015] [Indexed: 01/19/2023]
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17
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Fernández R, Schubert M, Vargas-Velázquez AM, Brownlow A, Víkingsson GA, Siebert U, Jensen LF, Øien N, Wall D, Rogan E, Mikkelsen B, Dabin W, Alfarhan AH, Alquraishi SA, Al-Rasheid KAS, Guillot G, Orlando L. A genomewide catalogue of single nucleotide polymorphisms in white-beaked and Atlantic white-sided dolphins. Mol Ecol Resour 2015; 16:266-76. [DOI: 10.1111/1755-0998.12427] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2015] [Revised: 05/01/2015] [Accepted: 05/05/2015] [Indexed: 11/30/2022]
Affiliation(s)
- R. Fernández
- Centre for GeoGenetics; University of Copenhagen; Øster Volgade 5-7 1350K Copenhagen Denmark
| | - M. Schubert
- Centre for GeoGenetics; University of Copenhagen; Øster Volgade 5-7 1350K Copenhagen Denmark
| | - A. M. Vargas-Velázquez
- Centre for GeoGenetics; University of Copenhagen; Øster Volgade 5-7 1350K Copenhagen Denmark
| | - A. Brownlow
- Wildlife Unit; SAC Veterinary Services; Drummondhill, Stratherrick Road Inverness UK
| | | | - U. Siebert
- Institute for Terrestrial and Aquatic Wildlife Research; University of Veterinary Medicine Hannover, Foundation; Werftstraße 6 Büsum Germany
| | - L. F. Jensen
- Fisheries and Maritime Museum; Tarphagevej 2 Esbjerg Denmark
| | - N. Øien
- Institute for Marine Research; 5817 Bergen Norway
| | - D. Wall
- Irish Whale and Dolphin Group; Merchants Quay, Kilrush, Co.; Clare Ireland
| | - E. Rogan
- School of Biological, Earth and Environmental Sciences; University College Cork; Distillery Fields, North Mall Cork Ireland
| | - B. Mikkelsen
- Natural History Museum; V. U. Hammersheimsgøta 13 100 Tórshavn Faroe Islands
| | - W. Dabin
- Centre de Recherche sur les mammiféres marins; Université La Rochelle; 5 allée de l'Océan La Rochelle France
| | - A. H. Alfarhan
- Zoology Department; College of Science; King Saud University; Riyadh 11451 Saudi Arabia
| | - S. A. Alquraishi
- Zoology Department; College of Science; King Saud University; Riyadh 11451 Saudi Arabia
| | - K. A. S. Al-Rasheid
- Zoology Department; College of Science; King Saud University; Riyadh 11451 Saudi Arabia
| | - G. Guillot
- Department of Applied Mathematics and Computer Science; Technical University of Denmark; Richard Petersens Plads Lyngvy Denmark
| | - L. Orlando
- Centre for GeoGenetics; University of Copenhagen; Øster Volgade 5-7 1350K Copenhagen Denmark
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18
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Sovic MG, Fries AC, Gibbs HL. AftrRAD: a pipeline for accurate and efficient de novo assembly of RADseq data. Mol Ecol Resour 2015; 15:1163-71. [PMID: 25641221 DOI: 10.1111/1755-0998.12378] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2014] [Revised: 12/29/2014] [Accepted: 01/15/2015] [Indexed: 11/28/2022]
Abstract
An increase in studies using restriction site-associated DNA sequencing (RADseq) methods has led to a need for both the development and assessment of novel bioinformatic tools that aid in the generation and analysis of these data. Here, we report the availability of AftrRAD, a bioinformatic pipeline that efficiently assembles and genotypes RADseq data, and outputs these data in various formats for downstream analyses. We use simulated and experimental data sets to evaluate AftrRAD's ability to perform accurate de novo assembly of loci, and we compare its performance with two other commonly used programs, stacks and pyrad. We demonstrate that AftrRAD is able to accurately assemble loci, while accounting for indel variation among alleles, in a more computationally efficient manner than currently available programs. AftrRAD run times are not strongly affected by the number of samples in the data set, making this program a useful tool when multicore systems are not available for parallel processing, or when data sets include large numbers of samples.
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Affiliation(s)
- Michael G Sovic
- Department of Evolution, Ecology, and Organismal Biology, Aronoff Laboratory, The Ohio State University, 318 W. 12th Ave, Columbus, OH, 43210, USA.,Ohio Biodiversity Conservation Partnership, Aronoff Laboratory, The Ohio State University, 318 W. 12th Ave, Columbus, OH, 43210, USA
| | - Anthony C Fries
- Department of Evolution, Ecology, and Organismal Biology, Aronoff Laboratory, The Ohio State University, 318 W. 12th Ave, Columbus, OH, 43210, USA
| | - H Lisle Gibbs
- Department of Evolution, Ecology, and Organismal Biology, Aronoff Laboratory, The Ohio State University, 318 W. 12th Ave, Columbus, OH, 43210, USA.,Ohio Biodiversity Conservation Partnership, Aronoff Laboratory, The Ohio State University, 318 W. 12th Ave, Columbus, OH, 43210, USA
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19
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Pompanon F, Samadi S. Next generation sequencing for characterizing biodiversity: promises and challenges. Genetica 2015; 143:133-8. [PMID: 25613325 DOI: 10.1007/s10709-015-9816-7] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2014] [Accepted: 01/09/2015] [Indexed: 01/22/2023]
Abstract
DNA barcoding approaches are used to describe biodiversity by analysing specimens or environmental samples in taxonomic, phylogenetic and ecological studies. While sharing data among these disciplines would be highly valuable, this remains difficult because of contradictory requirements. The properties making a DNA barcode efficient for specimen identification or species delimitation are hardly reconcilable with those required for a powerful analysis of degraded DNA from environmental samples. The use of next generation sequencing methods open up the way towards the development of new markers (e.g., multilocus barcodes) that would overcome such limitations. However, several challenges should be taken up for coordinating actions at the interface between taxonomy, ecology, molecular biology and bioinformatics in order to develop methods and protocols compatible with both taxonomic and ecological studies.
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Affiliation(s)
- François Pompanon
- Laboratoire d'Ecologie Alpine, Univ. Grenoble Alpes, 38000, Grenoble, France,
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20
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Pante E, Abdelkrim J, Viricel A, Gey D, France SC, Boisselier MC, Samadi S. Use of RAD sequencing for delimiting species. Heredity (Edinb) 2014; 114:450-9. [PMID: 25407078 DOI: 10.1038/hdy.2014.105] [Citation(s) in RCA: 96] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2014] [Revised: 09/12/2014] [Accepted: 09/16/2014] [Indexed: 11/10/2022] Open
Abstract
RAD-tag sequencing is a promising method for conducting genome-wide evolutionary studies. However, to date, only a handful of studies empirically tested its applicability above the species level. In this communication, we use RAD tags to contribute to the delimitation of species within a diverse genus of deep-sea octocorals, Chrysogorgia, for which few classical genetic markers have proved informative. Previous studies have hypothesized that single mitochondrial haplotypes can be used to delimit Chrysogorgia species. On the basis of two lanes of Illumina sequencing, we inferred phylogenetic relationships among 12 putative species that were delimited using mitochondrial data, comparing two RAD analysis pipelines (Stacks and PyRAD). The number of homologous RAD loci decreased dramatically with increasing divergence, as >70% of loci are lost when comparing specimens separated by two mutations on the 700-nt long mitochondrial phylogeny. Species delimitation hypotheses based on the mitochondrial mtMutS gene are largely supported, as six out of nine putative species represented by more than one colony were recovered as discrete, well-supported clades. Significant genetic structure (correlating with geography) was detected within one putative species, suggesting that individuals characterized by the same mtMutS haplotype may belong to distinct species. Conversely, three mtMutS haplotypes formed one well-supported clade within which no population structure was detected, also suggesting that intraspecific variation exists at mtMutS in Chrysogorgia. Despite an impressive decrease in the number of homologous loci across clades, RAD data helped us to fine-tune our interpretations of classical mitochondrial markers used in octocoral species delimitation, and discover previously undetected diversity.
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Affiliation(s)
- E Pante
- Laboratoire LIENSs, UMR 7266 CNRS-Université de La Rochelle, La Rochelle, France
| | - J Abdelkrim
- 1] Département Systématique et Evolution, UMS 2700 MNHN-CNRS, SSM, Muséum national d'Histoire naturelle, Paris, France [2] ISYEB-UMR 7205-CNRS, MNHN, UPMC, EPHE, Muséum national d'Histoire naturelle, Sorbonne Universités, Paris, France
| | - A Viricel
- Laboratoire LIENSs, UMR 7266 CNRS-Université de La Rochelle, La Rochelle, France
| | - D Gey
- Département Systématique et Evolution, UMS 2700 MNHN-CNRS, SSM, Muséum national d'Histoire naturelle, Paris, France
| | - S C France
- Department of Biology, University of Louisiana at Lafayette, Lafayette, LA, USA
| | - M C Boisselier
- 1] Département Systématique et Evolution, UMS 2700 MNHN-CNRS, SSM, Muséum national d'Histoire naturelle, Paris, France [2] ISYEB-UMR 7205-CNRS, MNHN, UPMC, EPHE, Muséum national d'Histoire naturelle, Sorbonne Universités, Paris, France
| | - S Samadi
- ISYEB-UMR 7205-CNRS, MNHN, UPMC, EPHE, Muséum national d'Histoire naturelle, Sorbonne Universités, Paris, France
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