Molecular identification of Amazonian stingless bees using polymerase chain reaction single-strand conformation polymorphism
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/14989 |
Resumo: | In countries containing a mega diversity of wildlife, such as Brazil, identifying and characterizing biological diversity is a continuous process for the scientific community, even in face of technological and scientific advances. This activity demands initiatives for the taxonomic identification of highly diverse groups, such as stingless bees, including molecular analysis strategies. This type of bee is distributed in all of the Brazilian states, with the highest species diversity being found in the State of Amazônia. However, the estimated number of species diverges among taxonomists. These bees are considered the main pollinators in the Amazon rainforest, in which they obtain food and shelter; however, their persistence is constantly threatened by deforestation pressure. Hence, it is important to classify the number and abundance of bee specie, to measure their decline and implement meaningful, priority conservation strategies. This study aims to maximize the implementation of more direct, economic and successful techniques for the taxonomic identification of stingless bees. Specifically, the genes 16S rRNA and COI from mitochondrial DNA were used as molecular markers to differentiate 9 species of Amazonian stingless bees based on DNA polymorphism, using the polymerase chain reaction-single-strand conformation polymorphism technique. We registered different, exclusive SSCP haplotypes for both genes in all species analyzed. These results demonstrate that SSCP is a simple and cost-effective technique that is applicable to the molecular identification of stingless bee species. © FUNPEC-RP. |
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Souza, M TCarvalho-zilse, Gislene Almeida2020-05-07T14:00:21Z2020-05-07T14:00:21Z2014https://repositorio.inpa.gov.br/handle/1/1498910.4238/2014.July.25.4In countries containing a mega diversity of wildlife, such as Brazil, identifying and characterizing biological diversity is a continuous process for the scientific community, even in face of technological and scientific advances. This activity demands initiatives for the taxonomic identification of highly diverse groups, such as stingless bees, including molecular analysis strategies. This type of bee is distributed in all of the Brazilian states, with the highest species diversity being found in the State of Amazônia. However, the estimated number of species diverges among taxonomists. These bees are considered the main pollinators in the Amazon rainforest, in which they obtain food and shelter; however, their persistence is constantly threatened by deforestation pressure. Hence, it is important to classify the number and abundance of bee specie, to measure their decline and implement meaningful, priority conservation strategies. This study aims to maximize the implementation of more direct, economic and successful techniques for the taxonomic identification of stingless bees. Specifically, the genes 16S rRNA and COI from mitochondrial DNA were used as molecular markers to differentiate 9 species of Amazonian stingless bees based on DNA polymorphism, using the polymerase chain reaction-single-strand conformation polymorphism technique. We registered different, exclusive SSCP haplotypes for both genes in all species analyzed. These results demonstrate that SSCP is a simple and cost-effective technique that is applicable to the molecular identification of stingless bee species. © FUNPEC-RP.Volume 13, Número 3, Pags. 5507-5513Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessDna, MitochondrialMolecular MarkerCytochrome C OxidaseDna, MitochondrialRna 16sAdultBrasilCoi GeneCost Effectiveness AnalysisDna PolymorphismGeneGenetic DistanceGenetic IdentificationHaplotypeMelipona DubiaMelipona EburneaMelipona InterruptaMelipona NebulosaMelipona RufiventrisMelipona SeminigraNonhumanPolymerase Chain ReactionRna 16s GeneScaptotrigona PolystictaSingle Strand Conformation PolymorphismSpecies DifferentiationSpecies IdentificationStingless BeeTaxonomic IdentificationTrigona WillianaAnimalsBeeClassificationPolymorphism, GeneticGeneticsGeographyEvolution, MolecularPolymerase Chain ReactionGenetics, PopulationSingle Strand Conformation PolymorphismAnimalBeesBrasilDna, MitochondrialElectron Transport Complex IvEvolution, MolecularGenetics, PopulationGeographyHaplotypesPolymerase Chain ReactionPolymorphism, GeneticPolymorphism, Single-stranded ConformationalRna, Ribosomal, 16sMolecular identification of Amazonian stingless bees using polymerase chain reaction single-strand conformation polymorphisminfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGenetics and Molecular Researchengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfapplication/pdf548705https://repositorio.inpa.gov.br/bitstream/1/14989/1/artigo-inpa.pdf40152d95219ab17c7f07bc9ce037d997MD51CC-LICENSElicense_rdfapplication/octet-stream914https://repositorio.inpa.gov.br/bitstream/1/14989/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD521/149892020-07-14 10:30:33.646oai:repositorio:1/14989Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T14:30:33Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Molecular identification of Amazonian stingless bees using polymerase chain reaction single-strand conformation polymorphism |
title |
Molecular identification of Amazonian stingless bees using polymerase chain reaction single-strand conformation polymorphism |
spellingShingle |
Molecular identification of Amazonian stingless bees using polymerase chain reaction single-strand conformation polymorphism Souza, M T Dna, Mitochondrial Molecular Marker Cytochrome C Oxidase Dna, Mitochondrial Rna 16s Adult Brasil Coi Gene Cost Effectiveness Analysis Dna Polymorphism Gene Genetic Distance Genetic Identification Haplotype Melipona Dubia Melipona Eburnea Melipona Interrupta Melipona Nebulosa Melipona Rufiventris Melipona Seminigra Nonhuman Polymerase Chain Reaction Rna 16s Gene Scaptotrigona Polysticta Single Strand Conformation Polymorphism Species Differentiation Species Identification Stingless Bee Taxonomic Identification Trigona Williana Animals Bee Classification Polymorphism, Genetic Genetics Geography Evolution, Molecular Polymerase Chain Reaction Genetics, Population Single Strand Conformation Polymorphism Animal Bees Brasil Dna, Mitochondrial Electron Transport Complex Iv Evolution, Molecular Genetics, Population Geography Haplotypes Polymerase Chain Reaction Polymorphism, Genetic Polymorphism, Single-stranded Conformational Rna, Ribosomal, 16s |
title_short |
Molecular identification of Amazonian stingless bees using polymerase chain reaction single-strand conformation polymorphism |
title_full |
Molecular identification of Amazonian stingless bees using polymerase chain reaction single-strand conformation polymorphism |
title_fullStr |
Molecular identification of Amazonian stingless bees using polymerase chain reaction single-strand conformation polymorphism |
title_full_unstemmed |
Molecular identification of Amazonian stingless bees using polymerase chain reaction single-strand conformation polymorphism |
title_sort |
Molecular identification of Amazonian stingless bees using polymerase chain reaction single-strand conformation polymorphism |
author |
Souza, M T |
author_facet |
Souza, M T Carvalho-zilse, Gislene Almeida |
author_role |
author |
author2 |
Carvalho-zilse, Gislene Almeida |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Souza, M T Carvalho-zilse, Gislene Almeida |
dc.subject.eng.fl_str_mv |
Dna, Mitochondrial Molecular Marker Cytochrome C Oxidase Dna, Mitochondrial Rna 16s Adult Brasil Coi Gene Cost Effectiveness Analysis Dna Polymorphism Gene Genetic Distance Genetic Identification Haplotype Melipona Dubia Melipona Eburnea Melipona Interrupta Melipona Nebulosa Melipona Rufiventris Melipona Seminigra Nonhuman Polymerase Chain Reaction Rna 16s Gene Scaptotrigona Polysticta Single Strand Conformation Polymorphism Species Differentiation Species Identification Stingless Bee Taxonomic Identification Trigona Williana Animals Bee Classification Polymorphism, Genetic Genetics Geography Evolution, Molecular Polymerase Chain Reaction Genetics, Population Single Strand Conformation Polymorphism Animal Bees Brasil Dna, Mitochondrial Electron Transport Complex Iv Evolution, Molecular Genetics, Population Geography Haplotypes Polymerase Chain Reaction Polymorphism, Genetic Polymorphism, Single-stranded Conformational Rna, Ribosomal, 16s |
topic |
Dna, Mitochondrial Molecular Marker Cytochrome C Oxidase Dna, Mitochondrial Rna 16s Adult Brasil Coi Gene Cost Effectiveness Analysis Dna Polymorphism Gene Genetic Distance Genetic Identification Haplotype Melipona Dubia Melipona Eburnea Melipona Interrupta Melipona Nebulosa Melipona Rufiventris Melipona Seminigra Nonhuman Polymerase Chain Reaction Rna 16s Gene Scaptotrigona Polysticta Single Strand Conformation Polymorphism Species Differentiation Species Identification Stingless Bee Taxonomic Identification Trigona Williana Animals Bee Classification Polymorphism, Genetic Genetics Geography Evolution, Molecular Polymerase Chain Reaction Genetics, Population Single Strand Conformation Polymorphism Animal Bees Brasil Dna, Mitochondrial Electron Transport Complex Iv Evolution, Molecular Genetics, Population Geography Haplotypes Polymerase Chain Reaction Polymorphism, Genetic Polymorphism, Single-stranded Conformational Rna, Ribosomal, 16s |
description |
In countries containing a mega diversity of wildlife, such as Brazil, identifying and characterizing biological diversity is a continuous process for the scientific community, even in face of technological and scientific advances. This activity demands initiatives for the taxonomic identification of highly diverse groups, such as stingless bees, including molecular analysis strategies. This type of bee is distributed in all of the Brazilian states, with the highest species diversity being found in the State of Amazônia. However, the estimated number of species diverges among taxonomists. These bees are considered the main pollinators in the Amazon rainforest, in which they obtain food and shelter; however, their persistence is constantly threatened by deforestation pressure. Hence, it is important to classify the number and abundance of bee specie, to measure their decline and implement meaningful, priority conservation strategies. This study aims to maximize the implementation of more direct, economic and successful techniques for the taxonomic identification of stingless bees. Specifically, the genes 16S rRNA and COI from mitochondrial DNA were used as molecular markers to differentiate 9 species of Amazonian stingless bees based on DNA polymorphism, using the polymerase chain reaction-single-strand conformation polymorphism technique. We registered different, exclusive SSCP haplotypes for both genes in all species analyzed. These results demonstrate that SSCP is a simple and cost-effective technique that is applicable to the molecular identification of stingless bee species. © FUNPEC-RP. |
publishDate |
2014 |
dc.date.issued.fl_str_mv |
2014 |
dc.date.accessioned.fl_str_mv |
2020-05-07T14:00:21Z |
dc.date.available.fl_str_mv |
2020-05-07T14:00:21Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio.inpa.gov.br/handle/1/14989 |
dc.identifier.doi.none.fl_str_mv |
10.4238/2014.July.25.4 |
url |
https://repositorio.inpa.gov.br/handle/1/14989 |
identifier_str_mv |
10.4238/2014.July.25.4 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 13, Número 3, Pags. 5507-5513 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Genetics and Molecular Research |
publisher.none.fl_str_mv |
Genetics and Molecular Research |
dc.source.none.fl_str_mv |
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INPA |
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INPA |
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Repositório Institucional do INPA |
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Repositório Institucional do INPA |
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