A DNA barcode library for the butterflies of North America
暂无分享,去创建一个
Jarrett D. Phillips | Jeremy R. deWaard | N. Grishin | S. Ratnasingham | S. Miller | V. Dincă | P. Opler | P. Hebert | E. Zakharov | R. Robbins | C. Schmidt | Jacopo D'ERCOLE | N. Kondla | J. Burns | Jarrett D Phillips | Jacopo D'Ercole
[1] P. Somervuo,et al. High resolution DNA barcode library for European butterflies reveals continental patterns of mitochondrial genetic diversity , 2021, Communications biology.
[2] P. Hebert,et al. A SMRT approach for targeted amplicon sequencing of museum specimens (Lepidoptera)—patterns of nucleotide misincorporation , 2021, PeerJ.
[3] L. Duret,et al. How consistent is RAD‐seq divergence with DNA‐barcode based clustering in insects? , 2020, Molecular ecology resources.
[4] R. Vilà,et al. How long is 3 km for a butterfly? Ecological constraints and functional traits explain high mitochondrial genetic diversity between Sicily and the Italian Peninsula. , 2020, The Journal of animal ecology.
[5] R. Vilà,et al. Integrative analyses on Western PalearcticLasiommatareveal a mosaic of nascent butterfly species , 2020 .
[6] R. Vilà,et al. Integrating three comprehensive data sets shows that mitochondrial DNA variation is linked to species traits and paleogeographic events in European butterflies , 2019, Molecular ecology resources.
[7] R. Vilà,et al. Use of genetic, climatic, and microbiological data to inform reintroduction of a regionally extinct butterfly , 2018, Conservation biology : the journal of the Society for Conservation Biology.
[8] M. Suchard,et al. Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7 , 2018, Systematic biology.
[9] P. Hebert,et al. Barcoding the butterflies of southern South America: Species delimitation efficacy, cryptic diversity and geographic patterns of divergence , 2017, PloS one.
[10] P. Grandcolas,et al. Taxonomic bias in biodiversity data and societal preferences , 2017, Scientific Reports.
[11] Jeremy R. deWaard,et al. Probing planetary biodiversity with DNA barcodes: The Noctuoidea of North America , 2017, PloS one.
[12] N. Grishin,et al. When COI barcodes deceive: complete genomes reveal introgression in hairstreaks , 2017, Proceedings of the Royal Society B: Biological Sciences.
[13] A. Chao,et al. iNEXT: an R package for rarefaction and extrapolation of species diversity (Hill numbers) , 2016 .
[14] R. Vilà,et al. Historical and contemporary factors generate unique butterfly communities on islands , 2016, Scientific Reports.
[15] R. Vos,et al. Species-Level Para- and Polyphyly in DNA Barcode Gene Trees: Strong Operational Bias in European Lepidoptera , 2016, Systematic biology.
[16] N. Grishin,et al. Complete genomes of Hairstreak butterflies, their speciation, and nucleo-mitochondrial incongruence , 2016, Scientific Reports.
[17] R. Vilà,et al. DNA barcode reference library for Iberian butterflies enables a continental-scale preview of potential cryptic diversity , 2015, Scientific Reports.
[18] Attika Rehman,et al. Use of DNA Barcoding to Control the Illegal Wildlife Trade: A CITES Case Report from Pakistan , 2015 .
[19] John-James Wilson,et al. Comparison of Butterflies, Bats and Beetles as Bioindicators Based on Four Key Criteria and DNA Barcodes , 2015 .
[20] P. Hebert,et al. Testing DNA Barcode Performance in 1000 Species of European Lepidoptera: Large Geographic Distances Have Small Genetic Impacts , 2014, PloS one.
[21] Emmanuel Paradis,et al. Effects of phylogenetic reconstruction method on the robustness of species delimitation using single-locus data , 2014, Methods in ecology and evolution.
[22] Dong Xie,et al. BEAST 2: A Software Platform for Bayesian Evolutionary Analysis , 2014, PLoS Comput. Biol..
[23] Jeremy R. deWaard,et al. A Transcontinental Challenge — A Test of DNA Barcode Performance for 1,541 Species of Canadian Noctuoidea (Lepidoptera) , 2014, PloS one.
[24] Paul D N Hebert,et al. DNA barcode-based delineation of putative species: efficient start for taxonomic workflows , 2014, Molecular ecology resources.
[25] R. Vilà,et al. Factors affecting species delimitations with the GMYC model: insights from a butterfly survey , 2013 .
[26] M. Friberg,et al. Reproductive isolation and patterns of genetic differentiation in a cryptic butterfly species complex , 2013, Journal of evolutionary biology.
[27] Keping Ma,et al. Geographical sampling bias in a large distributional database and its effects on species richness–environment models , 2013 .
[28] Aurélien Miralles,et al. New Metrics for Comparison of Taxonomies Reveal Striking Discrepancies among Species Delimitation Methods in Madascincus Lizards , 2013, PloS one.
[29] Beth Mantle,et al. A DNA ‘Barcode Blitz’: Rapid Digitization and Sequencing of a Natural History Collection , 2013, PloS one.
[30] Sujeevan Ratnasingham,et al. A DNA-Based Registry for All Animal Species: The Barcode Index Number (BIN) System , 2013, PloS one.
[31] T. Barraclough,et al. Delimiting Species Using Single-Locus Data and the Generalized Mixed Yule Coalescent Approach: A Revised Method and Evaluation on Simulated Data Sets , 2013, Systematic biology.
[32] R. Cruickshank,et al. The seven deadly sins of DNA barcoding , 2012, Molecular ecology resources.
[33] Charlotte L. Oskam,et al. The half-life of DNA in bone: measuring decay kinetics in 158 dated fossils , 2012, Proceedings of the Royal Society B: Biological Sciences.
[34] Ramón Doallo,et al. CircadiOmics: integrating circadian genomics, transcriptomics, proteomics and metabolomics , 2012, Nature Methods.
[35] Michael Balke,et al. The Effect of Geographical Scale of Sampling on DNA Barcoding , 2012, Systematic biology.
[36] A. Shapiro,et al. DRIVERS OF HYBRIDIZATION IN A 66‐GENERATION RECORD OF COLIAS BUTTERFLIES , 2012, Evolution; international journal of organic evolution.
[37] M. Ryan,et al. Encounter rates with conspecific males influence female mate choice in a naturally hybridizing fish , 2011 .
[38] H. Walter Lack,et al. Tracking origins of invasive herbivores through herbaria and archival DNA: the case of the horse‐chestnut leaf miner , 2011 .
[39] R. Vilà,et al. Complete DNA barcode reference library for a country's butterfly fauna reveals high performance for temperate Europe , 2011, Proceedings of the Royal Society B: Biological Sciences.
[40] R. Vilà,et al. How common are dot-like distributions? Taxonomical oversplitting in western European Agrodiaetus (Lepidoptera: Lycaenidae) revealed by chromosomal and molecular markers. , 2010 .
[41] Michel Baguette,et al. A meta‐analysis of dispersal in butterflies , 2010, Biological reviews of the Cambridge Philosophical Society.
[42] J. Fordyce,et al. Secondary contact between Lycaeides idas and L. melissa in the Rocky Mountains: extensive admixture and a patchy hybrid zone , 2010, Molecular ecology.
[43] J. Aronson,et al. The Mediterranean Region: Biological Diversity in Space and Time , 2010 .
[44] R. I. Hill,et al. Mitochondrial DNA barcoding detects some species that are real, and some that are not , 2010, Molecular ecology resources.
[45] P. Hebert,et al. Revision of the Australian Oenochroma vinaria Guenee, 1858 species-complex (Lepidoptera: Geometridae, Oenochrominae): DNA barcoding reveals cryptic diversity and assesses status of type specimen without dissection , 2009 .
[46] P. Hebert,et al. DNA barcoding Central Asian butterflies: increasing geographical dimension does not significantly reduce the success of species identification , 2009, Molecular ecology resources.
[47] N. Wahlberg,et al. Timing major conflict between mitochondrial and nuclear genes in species relationships of Polygonia butterflies (Nymphalidae: Nymphalini) , 2009, BMC Evolutionary Biology.
[48] J. Hellmann,et al. Introgression as a likely cause of mtDNA paraphyly in two allopatric skippers (Lepidoptera: Hesperiidae) , 2009, Heredity.
[49] P. Taberlet,et al. DNA barcoding for ecologists. , 2009, Trends in ecology & evolution.
[50] W. B. Watt,et al. A mitochondrial-DNA-based phylogeny for some evolutionary-genetic model species of Colias butterflies (Lepidoptera, Pieridae). , 2008, Molecular phylogenetics and evolution.
[51] D. Janzen,et al. DNA barcodes and cryptic species of skipper butterflies in the genus Perichares in Area de Conservación Guanacaste, Costa Rica , 2008, Proceedings of the National Academy of Sciences of the United States of America.
[52] Howard A Ross,et al. Testing the reliability of genetic methods of species identification via simulation. , 2008, Systematic biology.
[53] P. Hebert,et al. Comprehensive DNA barcode coverage of North American birds , 2007, Molecular ecology notes.
[54] P. Hebert,et al. bold: The Barcode of Life Data System (http://www.barcodinglife.org) , 2007, Molecular ecology notes.
[55] T. Schmitt. Molecular biogeography of Europe: Pleistocene cycles and postglacial trends , 2007, Frontiers in Zoology.
[56] P. Hebert,et al. DNA barcoding: how it complements taxonomy, molecular phylogenetics and population genetics. , 2007, Trends in genetics : TIG.
[57] M. Wiemers,et al. Does the DNA barcoding gap exist? – a case study in blue butterflies (Lepidoptera: Lycaenidae) , 2007, Frontiers in Zoology.
[58] Jeremy R. deWaard,et al. An inexpensive, automation-friendly protocol for recovering high-quality DNA , 2006 .
[59] Alfried P Vogler,et al. Sequence-based species delimitation for the DNA taxonomy of undescribed insects. , 2006, Systematic biology.
[60] W. B. Watt,et al. The green-veined white (Pieris napi L.), its Pierine relatives, and the systematics dilemmas of divergent character sets (Lepidoptera, Pieridae) , 2006 .
[61] A. Shapiro,et al. Identifying units for conservation using molecular systematics: the cautionary tale of the Karner blue butterfly , 2006, Molecular ecology.
[62] D. Janzen,et al. DNA barcodes distinguish species of tropical Lepidoptera. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[63] Rob DeSalle,et al. The unholy trinity: taxonomy, species delimitation and DNA barcoding , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[64] D. Janzen,et al. Wedding biodiversity inventory of a large and complex Lepidoptera fauna with DNA barcoding , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[65] N. Swenson,et al. Clustering of Contact Zones, Hybrid Zones, and Phylogeographic Breaks in North America , 2005, The American Naturalist.
[66] D. Janzen,et al. Ten species in one: DNA barcoding reveals cryptic species in the neotropical skipper butterfly Astraptes fulgerator. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[67] N. Pierce,et al. CODIVERSIFICATION IN AN ANT‐PLANT MUTUALISM: STEM TEXTURE AND THE EVOLUTION OF HOST USE IN CREMATOGASTER (FORMICIDAE: MYRMICINAE) INHABITANTS OF MACARANGA (EUPHORBIACEAE) , 2004, Evolution; international journal of organic evolution.
[68] O. Gascuel,et al. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. , 2003, Systematic biology.
[69] Jeremy R. deWaard,et al. Biological identifications through DNA barcodes , 2003, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[70] C. Randler. Avian hybridization, mixed pairing and female choice , 2002, Animal Behaviour.
[71] J. Searle. Phylogeography — The History and Formation of Species , 2000, Heredity.
[72] G. Hewitt. The genetic legacy of the Quaternary ice ages , 2000, Nature.
[73] P. Wirtz. Mother species–father species: unidirectional hybridization in animals with female choice , 1999, Animal Behaviour.
[74] J. Mappes,et al. Mate choice for offspring performance: major benefits or minor costs? , 1998, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[75] T. New. Are Lepidoptera an effective ‘umbrella group‘ for biodiversity conservation? , 1997, Journal of Insect Conservation.
[76] G. Hewitt. Some genetic consequences of ice ages, and their role in divergence and speciation , 1996 .
[77] D. Futuyma,et al. Hybrid zones and the evolutionary process , 1995 .
[78] F. Sperling. Mitochondrial DNA variation and Haldane's rule in the Papilio glaucus and P. troilus species groups , 1993, Heredity.
[79] W. Bailey,et al. Experimental manipulation of mate choice by male katydids: the effect of female encounter rate , 1992, Behavioral Ecology and Sociobiology.
[80] J. Avise. A role for molecular genetics in the recognition and conservation of endangered species. , 1989, Trends in ecology & evolution.
[81] James A. Scott,et al. The Butterflies of North America: A Natural History and Field Guide , 1986 .
[82] M. Kimura. A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences , 1980, Journal of Molecular Evolution.
[83] O. Taylor. RANDOM VS. NON‐RANDOM MATING IN THE SULFUR BUTTERFLIES, COLIAS EURYTHEME AND COLIAS PHILODICE (LEPIDOPTERA: PIERIDAE) , 1972, Evolution; international journal of organic evolution.
[84] J. H. Gerould. Hybridization and Female Albinism in Colias Philodice and C. Eurytheme. a New Hampshire Survey in 1943 with Subsequent Data , 1946 .
[85] S. Wright,et al. Isolation by Distance. , 1943, Genetics.
[86] J. Haldane,et al. Sex ratio and unisexual sterility in hybrid animals , 1922, Journal of Genetics.
[87] A. Galimberti,et al. DNA barcoding as a new tool for food traceability , 2013 .
[88] Paul D. N. Hebert,et al. Assembling DNA Barcodes , 2008 .
[89] D. Janzen,et al. DNA barcodes of closely related (but morphologically and ecologically distinct) species of skipper butterflies (Hesperiidae) can differ by only one to three nucleotides , 2007 .
[90] P. Hebert,et al. bold: The Barcode of Life Data System (http://www.barcodinglife.org) , 2007, Molecular ecology notes.
[91] W. Hennig. Phylogenetic Systematics , 2002 .
[92] A. Solow,et al. Conserving Biological Diversity with Scarce Resources , 1999 .
[93] Sean R. Eddy,et al. Profile hidden Markov models , 1998, Bioinform..
[94] S. Tavaré. Some probabilistic and statistical problems in the analysis of DNA sequences , 1986 .
[95] A. Chao. Nonparametric estimation of the number of classes in a population , 1984 .
[96] J. Kingman. On the genealogy of large populations , 1982, Journal of Applied Probability.