HBeeID : a molecular tool that identifes honey bee subspecies from diferent geographic populations

Autores
Donthu, Ravikiran; Marcelino, Jose A. P.; Giordano, Rosanna; Tao, Yudong; Weber, Everett; Avalos, Arian; Band, Mark; Akraiko, Tatsiana; Chen, Shu‑Ching; Reyes, Maria P; Hao, Haiping; Ortiz‑Alvarado, Yarira; Cuf, Charles A.; Pérez Claudio, Eddie; Soto‑Adames, Felipe; Smith‑Pardo, Allan H.; Meikle, William G.; Evans, Jay D.; Giray, Tugrul; Abdelkader, Faten B.; Allsopp, Mike; Ball, Daniel; Morgado, Susana B.; Barjadze, Shalva; Correa‑Benitez, Adriana; Chakir, Amina; Báez, David R.; Chavez, Nabor H. M.; Dalmon, Anne; Douglas, Adrian B.; Fraccica, Carmen; Fernández‑Marín, Hermógenes; Galindo Cardona, Alberto; Guzman‑Novoa, Ernesto; Horsburgh, Robert; Kence, Meral; Kilonzo, Joseph; Kükrer, Mert; Le Conte, Yves; Mazzeo, Gaetana; Mota, Fernando; Muli, Elliud; Oskay, Devrim; Ruiz‑Martínez, José A.; Oliveri, Eugenia; Pichkhaia, Igor; Romane, Abderrahmane; Guillen Sanchez, Cesar; Sikombwa, Evans; Satta, Alberto; Scannapieco, Alejandra Carla; Stanford, Brandi; Soroker, Victoria; Velarde, Rodrigo A.; Vercelli, Monica; Huang, Zachary
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: Honey bees are the principal commercial pollinators. Along with other arthropods, they are increasingly under threat from anthropogenic factors such as the incursion of invasive honey bee subspecies, pathogens and parasites. Better tools are needed to identify bee subspecies. Genomic data for economic and ecologically important organisms is increasing, but in its basic form its practical application to address ecological problems is limited. Results: We introduce HBeeID a means to identify honey bees. The tool utilizes a knowledge-based network and diagnostic SNPs identified by discriminant analysis of principle components and hierarchical agglomerative clustering. Tests of HBeeID showed that it identifies African, Americas-Africanized, Asian, and European honey bees with a high degree of certainty even when samples lack the full 272 SNPs of HBeeID. Its prediction capacity decreases with highly admixed samples. Conclusion: HBeeID is a high-resolution genomic, SNP based tool, that can be used to identify honey bees and screen species that are invasive. Its flexible design allows for future improvements via sample data additions from other localities.
Instituto de Genética
Fil: Donthu, Ravikiran. Puerto Rico Science, Technology and Research Trust; Estados Unidos
Fil: Donthu, Ravikiran. Mahindra University. Centre for Life Sciences; India
Fil: Marcelino, Jose A. P. Puerto Rico Science, Technology and Research Trust; Estados Unidos
Fil: Marcelino, Jose A. P. Florida Department of Agriculture and Consumer Services. Division of Plant Industry; Estados Unidos
Fil: Giordano, Rosanna. Puerto Rico Science, Technology and Research Trust; Estados Unidos
Fil: Giordano, Rosanna. Florida International University. Institute of Environment; Estados Unidos
Fil: Tao, Yudong. University of Miami. Department of Electrical and Computer Engineering; Estados Unidos
Fil: Weber, Everett. Dartmouth College. Ofce of Institutional Research; Estados Unidos
Fil: Avalos, Arian. United States Department of Agriculture. The Agricultural Research Service (USDA-ARS). Honey Bee Breeding, Genetics and Physiology Research; Estados Unidos
Fil: Band, Mark. University of Illinois. Roy J. Carver Biotechnology Center; Estados Unidos
Fil: Akraiko, Tatsiana. University of Illinois. Roy J. Carver Biotechnology Center; Estados Unidos
Fil: Chen, Shu‑Ching. University of Missouri-Kansas City. Data Science and Analytics Innovation Center (dSAIC); Estados Unidos
Fil: Reyes, Maria P. Florida International University. Knight Foundation School of Computing and Information Sciences; Estados Unidos
Fil: Hao, Haiping. Johns Hopkins University. School of Medicine; Estados Unidos
Fil: Ortiz‑Alvarado, Yarira. University of Puerto Rico. Department of Biology; Estados Unidos
Fil: Cuf, Charles A. University of Puerto Rico. Department of Biology; Estados Unidos
Fil: Pérez Claudio, Eddie. University of Pittsburgh. School of Medicine. Department of Biomedical Informatics; Estados Unidos
Fil: Soto‑Adames, Felipe. Florida Department of Agriculture and Consumer Services. Division of Plant Industry; Estados Unidos
Fil: Smith‑Pardo, Allan H. United States Department of Agriculture. Animal and Plant Health Inspection Service. Plant Protection and Quarantine (USDA-APHIS-PPQ). Science and Technology; Estados Unidos
Fil: Meikle, William G. United States Department of Agriculture. The Agricultural Research Service (USDA-ARS). Carl Hayden Bee Research Center; Estados Unidos
Fil: Evans, Jay D. United States Department of Agriculture. The Agricultural Research Service (USDA-ARS). Bee Research Laboratory; Estados Unidos
Fil: Giray, Tugrul. University of Puerto Rico. Department of Biology; Estados Unidos
Fil: Abdelkader, Faten B. University of Carthage, National Agronomic Institute of Tunisia; Túnez
Fil: Allsopp, Mike. ARC-Plant Protection & Health. Honey Bee Research Section; Sudáfrica
Fil: Ball, Daniel. Forest Fruits Ltd; Zambia
Fil: Morgado, Susana B. Associação de Apicultores do Parque Natural do Tejo Internacional. Meltagus; Portugal
Fil: Barjadze, Shalva. Ilia State University. Institute of Zoology; Georgia
Fil: Correa‑Benitez, Adriana. Universidad Nacional Autónoma de México. Facultad de MedicinaVeterinaria y Zootecnia. Departamento de Medicina y Zootecnia de Abejas, Conejos y Organismos Aquáticos (DMZ:ACyOA); México
Fil: Chakir, Amina. University Cadi Ayyad. Semlalia Faculty of Sciences. Applied Chemistry Laboratory; Marruecos
Fil: Báez, David R. Amateur Beekeeper; Estados Unidos
Fil: Chavez, Nabor H. M. Cochabamba Beekeepers Federation (FEDAC); Bolivia
Fil: Dalmon, Anne. French National Research Institute for Agriculture, Food and Environment (INRAE); Francia
Fil: Douglas, Adrian B. University of Malta. Institute of Earth Systems, Rural Sciences Farmhouse; Malta
Fil: Fraccica, Carmen. Florida Department of Agriculture and Consumer Services. Division of Plant Industry; Estados Unidos
Fil: Fernández‑Marín, Hermógenes. Instituto de Investigaciones Científcas y Servicios de Alta Tecnología. Centro de Biodiversidad y Descubrimiento de Drogas; Panamá
Fil: Galindo Cardona, Alberto. Universidad Nacional de Tucumán. Instituto de Ecología Regional (IER); Argentina
Fil: Galindo Cardona, Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Guzman‑Novoa, Ernesto. University of Guelph. School of Environmental Sciences; Canadá
Fil: Horsburgh, Robert. Florida Department of Agriculture and Consumer Services. Division of Plant Industry; Estados Unidos
Fil: Kence, Meral. Middle East Technical University. Biology Department; Turquía
Fil: Kilonzo, Joseph. International Centre of Insect Physiology and Ecology; Kenia
Fil: Kükrer, Mert. Middle East Technical University. Biology Department; Turquía
Fil: Kükrer, Mert. Kilis 7 Aralık University. Molecular Biology and Genetics Department; Turquía
Fil: Le Conte, Yves. French National Research Institute for Agriculture, Food and Environment (INRAE); Francia
Fil: Mazzeo, Gaetana. Università Degli Studi Di Catania. Dipartimento di Agricoltura, Alimentazione e Ambiente; Italia
Fil: Mota, Fernando. Independent Beekeeper; Portugal
Fil: Muli, Elliud. International Centre of Insect Physiology and Ecology; Kenia
Fil: Muli, Elliud. South Eastern Kenya University; Kenia
Fil: Oskay, Devrim. Tekirdağ Namık Kemal University. Department of Agricultural Biotechnology; Turquía
Fil: Ruiz‑Martínez, José A. High School Lope de Vega. Professional Training in Livestock and Animal Health; España
Fil: Oliveri, Eugenia. Istituto Zooproflattico Sperimentale della Sicilia; Italia
Fil: Pichkhaia, Igor. Chkhorotsku Local Historical Museum; Georgia
Fil: Romane, Abderrahmane. University Cadi Ayyad. Semlalia Faculty of Sciences. Applied Chemistry Laboratory; Marruecos
Fil: Guillen Sanchez, Cesar. University of Costa Rica. Escuela de Agronomía, Sede del Atlántico; Costa Rica
Fil: Sikombwa, Evans. Forest Fruits Ltd; Zambia
Fil: Satta, Alberto. University of Sassari. Department of Agricultural Sciences; Italia
Fil: Scannapieco, Alejandra Carla. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina
Fil: Scannapieco, Alejandra Carla. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular (IABIMO); Argentina
Fil: Scannapieco, Alejandra Carla. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Stanford, Brandi. Florida Department of Agriculture and Consumer Services. Division of Plant Industry; Estados Unidos
Fil: Soroker, Victoria. Agricultural Research Organization. The Volcani Center. Institute of Plant Protection. Department of Entomology; Israel
Fil: Velarde, Rodrigo A. PROMIEL-SEDEM. Bolivian Apiculture Institute (IAB); Bolivia
Fil: Vercelli, Monica. Independent Researcher; Italia
Fil: Huang, Zachary. Michigan State University. Apiculture Lab. Department of Entomology; Estados Unidos
Fuente
BMC Bioinformatics 25 : 278 (August 2024)
Materia
Honey Bees
Single Nucleotide Polymorphisms
Diagnostic Techniques
Networks
Invasive Species
Abeja Melífera
Polimorfismo de Nucleótido Unico
Técnica de Diagnóstico
Red
Especie Invasiva
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/22854

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oai_identifier_str oai:localhost:20.500.12123/22854
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling HBeeID : a molecular tool that identifes honey bee subspecies from diferent geographic populationsDonthu, RavikiranMarcelino, Jose A. P.Giordano, RosannaTao, YudongWeber, EverettAvalos, ArianBand, MarkAkraiko, TatsianaChen, Shu‑ChingReyes, Maria PHao, HaipingOrtiz‑Alvarado, YariraCuf, Charles A.Pérez Claudio, EddieSoto‑Adames, FelipeSmith‑Pardo, Allan H.Meikle, William G.Evans, Jay D.Giray, TugrulAbdelkader, Faten B.Allsopp, MikeBall, DanielMorgado, Susana B.Barjadze, ShalvaCorrea‑Benitez, AdrianaChakir, AminaBáez, David R.Chavez, Nabor H. M.Dalmon, AnneDouglas, Adrian B.Fraccica, CarmenFernández‑Marín, HermógenesGalindo Cardona, AlbertoGuzman‑Novoa, ErnestoHorsburgh, RobertKence, MeralKilonzo, JosephKükrer, MertLe Conte, YvesMazzeo, GaetanaMota, FernandoMuli, ElliudOskay, DevrimRuiz‑Martínez, José A.Oliveri, EugeniaPichkhaia, IgorRomane, AbderrahmaneGuillen Sanchez, CesarSikombwa, EvansSatta, AlbertoScannapieco, Alejandra CarlaStanford, BrandiSoroker, VictoriaVelarde, Rodrigo A.Vercelli, MonicaHuang, ZacharyHoney BeesSingle Nucleotide PolymorphismsDiagnostic TechniquesNetworksInvasive SpeciesAbeja MelíferaPolimorfismo de Nucleótido UnicoTécnica de DiagnósticoRedEspecie InvasivaBackground: Honey bees are the principal commercial pollinators. Along with other arthropods, they are increasingly under threat from anthropogenic factors such as the incursion of invasive honey bee subspecies, pathogens and parasites. Better tools are needed to identify bee subspecies. Genomic data for economic and ecologically important organisms is increasing, but in its basic form its practical application to address ecological problems is limited. Results: We introduce HBeeID a means to identify honey bees. The tool utilizes a knowledge-based network and diagnostic SNPs identified by discriminant analysis of principle components and hierarchical agglomerative clustering. Tests of HBeeID showed that it identifies African, Americas-Africanized, Asian, and European honey bees with a high degree of certainty even when samples lack the full 272 SNPs of HBeeID. Its prediction capacity decreases with highly admixed samples. Conclusion: HBeeID is a high-resolution genomic, SNP based tool, that can be used to identify honey bees and screen species that are invasive. Its flexible design allows for future improvements via sample data additions from other localities.Instituto de GenéticaFil: Donthu, Ravikiran. Puerto Rico Science, Technology and Research Trust; Estados UnidosFil: Donthu, Ravikiran. Mahindra University. Centre for Life Sciences; IndiaFil: Marcelino, Jose A. P. Puerto Rico Science, Technology and Research Trust; Estados UnidosFil: Marcelino, Jose A. P. Florida Department of Agriculture and Consumer Services. Division of Plant Industry; Estados UnidosFil: Giordano, Rosanna. Puerto Rico Science, Technology and Research Trust; Estados UnidosFil: Giordano, Rosanna. Florida International University. Institute of Environment; Estados UnidosFil: Tao, Yudong. University of Miami. Department of Electrical and Computer Engineering; Estados UnidosFil: Weber, Everett. Dartmouth College. Ofce of Institutional Research; Estados UnidosFil: Avalos, Arian. United States Department of Agriculture. The Agricultural Research Service (USDA-ARS). Honey Bee Breeding, Genetics and Physiology Research; Estados UnidosFil: Band, Mark. University of Illinois. Roy J. Carver Biotechnology Center; Estados UnidosFil: Akraiko, Tatsiana. University of Illinois. Roy J. Carver Biotechnology Center; Estados UnidosFil: Chen, Shu‑Ching. University of Missouri-Kansas City. Data Science and Analytics Innovation Center (dSAIC); Estados UnidosFil: Reyes, Maria P. Florida International University. Knight Foundation School of Computing and Information Sciences; Estados UnidosFil: Hao, Haiping. Johns Hopkins University. School of Medicine; Estados UnidosFil: Ortiz‑Alvarado, Yarira. University of Puerto Rico. Department of Biology; Estados UnidosFil: Cuf, Charles A. University of Puerto Rico. Department of Biology; Estados UnidosFil: Pérez Claudio, Eddie. University of Pittsburgh. School of Medicine. Department of Biomedical Informatics; Estados UnidosFil: Soto‑Adames, Felipe. Florida Department of Agriculture and Consumer Services. Division of Plant Industry; Estados UnidosFil: Smith‑Pardo, Allan H. United States Department of Agriculture. Animal and Plant Health Inspection Service. Plant Protection and Quarantine (USDA-APHIS-PPQ). Science and Technology; Estados UnidosFil: Meikle, William G. United States Department of Agriculture. The Agricultural Research Service (USDA-ARS). Carl Hayden Bee Research Center; Estados UnidosFil: Evans, Jay D. United States Department of Agriculture. The Agricultural Research Service (USDA-ARS). Bee Research Laboratory; Estados UnidosFil: Giray, Tugrul. University of Puerto Rico. Department of Biology; Estados UnidosFil: Abdelkader, Faten B. University of Carthage, National Agronomic Institute of Tunisia; TúnezFil: Allsopp, Mike. ARC-Plant Protection & Health. Honey Bee Research Section; SudáfricaFil: Ball, Daniel. Forest Fruits Ltd; ZambiaFil: Morgado, Susana B. Associação de Apicultores do Parque Natural do Tejo Internacional. Meltagus; PortugalFil: Barjadze, Shalva. Ilia State University. Institute of Zoology; GeorgiaFil: Correa‑Benitez, Adriana. Universidad Nacional Autónoma de México. Facultad de MedicinaVeterinaria y Zootecnia. Departamento de Medicina y Zootecnia de Abejas, Conejos y Organismos Aquáticos (DMZ:ACyOA); MéxicoFil: Chakir, Amina. University Cadi Ayyad. Semlalia Faculty of Sciences. Applied Chemistry Laboratory; MarruecosFil: Báez, David R. Amateur Beekeeper; Estados UnidosFil: Chavez, Nabor H. M. Cochabamba Beekeepers Federation (FEDAC); BoliviaFil: Dalmon, Anne. French National Research Institute for Agriculture, Food and Environment (INRAE); FranciaFil: Douglas, Adrian B. University of Malta. Institute of Earth Systems, Rural Sciences Farmhouse; MaltaFil: Fraccica, Carmen. Florida Department of Agriculture and Consumer Services. Division of Plant Industry; Estados UnidosFil: Fernández‑Marín, Hermógenes. Instituto de Investigaciones Científcas y Servicios de Alta Tecnología. Centro de Biodiversidad y Descubrimiento de Drogas; PanamáFil: Galindo Cardona, Alberto. Universidad Nacional de Tucumán. Instituto de Ecología Regional (IER); ArgentinaFil: Galindo Cardona, Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Guzman‑Novoa, Ernesto. University of Guelph. School of Environmental Sciences; CanadáFil: Horsburgh, Robert. Florida Department of Agriculture and Consumer Services. Division of Plant Industry; Estados UnidosFil: Kence, Meral. Middle East Technical University. Biology Department; TurquíaFil: Kilonzo, Joseph. International Centre of Insect Physiology and Ecology; KeniaFil: Kükrer, Mert. Middle East Technical University. Biology Department; TurquíaFil: Kükrer, Mert. Kilis 7 Aralık University. Molecular Biology and Genetics Department; TurquíaFil: Le Conte, Yves. French National Research Institute for Agriculture, Food and Environment (INRAE); FranciaFil: Mazzeo, Gaetana. Università Degli Studi Di Catania. Dipartimento di Agricoltura, Alimentazione e Ambiente; ItaliaFil: Mota, Fernando. Independent Beekeeper; PortugalFil: Muli, Elliud. International Centre of Insect Physiology and Ecology; KeniaFil: Muli, Elliud. South Eastern Kenya University; KeniaFil: Oskay, Devrim. Tekirdağ Namık Kemal University. Department of Agricultural Biotechnology; TurquíaFil: Ruiz‑Martínez, José A. High School Lope de Vega. Professional Training in Livestock and Animal Health; EspañaFil: Oliveri, Eugenia. Istituto Zooproflattico Sperimentale della Sicilia; ItaliaFil: Pichkhaia, Igor. Chkhorotsku Local Historical Museum; GeorgiaFil: Romane, Abderrahmane. University Cadi Ayyad. Semlalia Faculty of Sciences. Applied Chemistry Laboratory; MarruecosFil: Guillen Sanchez, Cesar. University of Costa Rica. Escuela de Agronomía, Sede del Atlántico; Costa RicaFil: Sikombwa, Evans. Forest Fruits Ltd; ZambiaFil: Satta, Alberto. University of Sassari. Department of Agricultural Sciences; ItaliaFil: Scannapieco, Alejandra Carla. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; ArgentinaFil: Scannapieco, Alejandra Carla. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular (IABIMO); ArgentinaFil: Scannapieco, Alejandra Carla. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Stanford, Brandi. Florida Department of Agriculture and Consumer Services. Division of Plant Industry; Estados UnidosFil: Soroker, Victoria. Agricultural Research Organization. The Volcani Center. Institute of Plant Protection. Department of Entomology; IsraelFil: Velarde, Rodrigo A. PROMIEL-SEDEM. Bolivian Apiculture Institute (IAB); BoliviaFil: Vercelli, Monica. Independent Researcher; ItaliaFil: Huang, Zachary. Michigan State University. Apiculture Lab. Department of Entomology; Estados UnidosBioMed Central2025-07-01T15:18:59Z2025-07-01T15:18:59Z2024-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/22854https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-024-05776-91471-2105https://doi.org/10.1186/s12859-024-05776-9BMC Bioinformatics 25 : 278 (August 2024)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-23T11:19:36Zoai:localhost:20.500.12123/22854instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-23 11:19:37.04INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv HBeeID : a molecular tool that identifes honey bee subspecies from diferent geographic populations
title HBeeID : a molecular tool that identifes honey bee subspecies from diferent geographic populations
spellingShingle HBeeID : a molecular tool that identifes honey bee subspecies from diferent geographic populations
Donthu, Ravikiran
Honey Bees
Single Nucleotide Polymorphisms
Diagnostic Techniques
Networks
Invasive Species
Abeja Melífera
Polimorfismo de Nucleótido Unico
Técnica de Diagnóstico
Red
Especie Invasiva
title_short HBeeID : a molecular tool that identifes honey bee subspecies from diferent geographic populations
title_full HBeeID : a molecular tool that identifes honey bee subspecies from diferent geographic populations
title_fullStr HBeeID : a molecular tool that identifes honey bee subspecies from diferent geographic populations
title_full_unstemmed HBeeID : a molecular tool that identifes honey bee subspecies from diferent geographic populations
title_sort HBeeID : a molecular tool that identifes honey bee subspecies from diferent geographic populations
dc.creator.none.fl_str_mv Donthu, Ravikiran
Marcelino, Jose A. P.
Giordano, Rosanna
Tao, Yudong
Weber, Everett
Avalos, Arian
Band, Mark
Akraiko, Tatsiana
Chen, Shu‑Ching
Reyes, Maria P
Hao, Haiping
Ortiz‑Alvarado, Yarira
Cuf, Charles A.
Pérez Claudio, Eddie
Soto‑Adames, Felipe
Smith‑Pardo, Allan H.
Meikle, William G.
Evans, Jay D.
Giray, Tugrul
Abdelkader, Faten B.
Allsopp, Mike
Ball, Daniel
Morgado, Susana B.
Barjadze, Shalva
Correa‑Benitez, Adriana
Chakir, Amina
Báez, David R.
Chavez, Nabor H. M.
Dalmon, Anne
Douglas, Adrian B.
Fraccica, Carmen
Fernández‑Marín, Hermógenes
Galindo Cardona, Alberto
Guzman‑Novoa, Ernesto
Horsburgh, Robert
Kence, Meral
Kilonzo, Joseph
Kükrer, Mert
Le Conte, Yves
Mazzeo, Gaetana
Mota, Fernando
Muli, Elliud
Oskay, Devrim
Ruiz‑Martínez, José A.
Oliveri, Eugenia
Pichkhaia, Igor
Romane, Abderrahmane
Guillen Sanchez, Cesar
Sikombwa, Evans
Satta, Alberto
Scannapieco, Alejandra Carla
Stanford, Brandi
Soroker, Victoria
Velarde, Rodrigo A.
Vercelli, Monica
Huang, Zachary
author Donthu, Ravikiran
author_facet Donthu, Ravikiran
Marcelino, Jose A. P.
Giordano, Rosanna
Tao, Yudong
Weber, Everett
Avalos, Arian
Band, Mark
Akraiko, Tatsiana
Chen, Shu‑Ching
Reyes, Maria P
Hao, Haiping
Ortiz‑Alvarado, Yarira
Cuf, Charles A.
Pérez Claudio, Eddie
Soto‑Adames, Felipe
Smith‑Pardo, Allan H.
Meikle, William G.
Evans, Jay D.
Giray, Tugrul
Abdelkader, Faten B.
Allsopp, Mike
Ball, Daniel
Morgado, Susana B.
Barjadze, Shalva
Correa‑Benitez, Adriana
Chakir, Amina
Báez, David R.
Chavez, Nabor H. M.
Dalmon, Anne
Douglas, Adrian B.
Fraccica, Carmen
Fernández‑Marín, Hermógenes
Galindo Cardona, Alberto
Guzman‑Novoa, Ernesto
Horsburgh, Robert
Kence, Meral
Kilonzo, Joseph
Kükrer, Mert
Le Conte, Yves
Mazzeo, Gaetana
Mota, Fernando
Muli, Elliud
Oskay, Devrim
Ruiz‑Martínez, José A.
Oliveri, Eugenia
Pichkhaia, Igor
Romane, Abderrahmane
Guillen Sanchez, Cesar
Sikombwa, Evans
Satta, Alberto
Scannapieco, Alejandra Carla
Stanford, Brandi
Soroker, Victoria
Velarde, Rodrigo A.
Vercelli, Monica
Huang, Zachary
author_role author
author2 Marcelino, Jose A. P.
Giordano, Rosanna
Tao, Yudong
Weber, Everett
Avalos, Arian
Band, Mark
Akraiko, Tatsiana
Chen, Shu‑Ching
Reyes, Maria P
Hao, Haiping
Ortiz‑Alvarado, Yarira
Cuf, Charles A.
Pérez Claudio, Eddie
Soto‑Adames, Felipe
Smith‑Pardo, Allan H.
Meikle, William G.
Evans, Jay D.
Giray, Tugrul
Abdelkader, Faten B.
Allsopp, Mike
Ball, Daniel
Morgado, Susana B.
Barjadze, Shalva
Correa‑Benitez, Adriana
Chakir, Amina
Báez, David R.
Chavez, Nabor H. M.
Dalmon, Anne
Douglas, Adrian B.
Fraccica, Carmen
Fernández‑Marín, Hermógenes
Galindo Cardona, Alberto
Guzman‑Novoa, Ernesto
Horsburgh, Robert
Kence, Meral
Kilonzo, Joseph
Kükrer, Mert
Le Conte, Yves
Mazzeo, Gaetana
Mota, Fernando
Muli, Elliud
Oskay, Devrim
Ruiz‑Martínez, José A.
Oliveri, Eugenia
Pichkhaia, Igor
Romane, Abderrahmane
Guillen Sanchez, Cesar
Sikombwa, Evans
Satta, Alberto
Scannapieco, Alejandra Carla
Stanford, Brandi
Soroker, Victoria
Velarde, Rodrigo A.
Vercelli, Monica
Huang, Zachary
author2_role author
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author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
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author
author
author
author
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author
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dc.subject.none.fl_str_mv Honey Bees
Single Nucleotide Polymorphisms
Diagnostic Techniques
Networks
Invasive Species
Abeja Melífera
Polimorfismo de Nucleótido Unico
Técnica de Diagnóstico
Red
Especie Invasiva
topic Honey Bees
Single Nucleotide Polymorphisms
Diagnostic Techniques
Networks
Invasive Species
Abeja Melífera
Polimorfismo de Nucleótido Unico
Técnica de Diagnóstico
Red
Especie Invasiva
dc.description.none.fl_txt_mv Background: Honey bees are the principal commercial pollinators. Along with other arthropods, they are increasingly under threat from anthropogenic factors such as the incursion of invasive honey bee subspecies, pathogens and parasites. Better tools are needed to identify bee subspecies. Genomic data for economic and ecologically important organisms is increasing, but in its basic form its practical application to address ecological problems is limited. Results: We introduce HBeeID a means to identify honey bees. The tool utilizes a knowledge-based network and diagnostic SNPs identified by discriminant analysis of principle components and hierarchical agglomerative clustering. Tests of HBeeID showed that it identifies African, Americas-Africanized, Asian, and European honey bees with a high degree of certainty even when samples lack the full 272 SNPs of HBeeID. Its prediction capacity decreases with highly admixed samples. Conclusion: HBeeID is a high-resolution genomic, SNP based tool, that can be used to identify honey bees and screen species that are invasive. Its flexible design allows for future improvements via sample data additions from other localities.
Instituto de Genética
Fil: Donthu, Ravikiran. Puerto Rico Science, Technology and Research Trust; Estados Unidos
Fil: Donthu, Ravikiran. Mahindra University. Centre for Life Sciences; India
Fil: Marcelino, Jose A. P. Puerto Rico Science, Technology and Research Trust; Estados Unidos
Fil: Marcelino, Jose A. P. Florida Department of Agriculture and Consumer Services. Division of Plant Industry; Estados Unidos
Fil: Giordano, Rosanna. Puerto Rico Science, Technology and Research Trust; Estados Unidos
Fil: Giordano, Rosanna. Florida International University. Institute of Environment; Estados Unidos
Fil: Tao, Yudong. University of Miami. Department of Electrical and Computer Engineering; Estados Unidos
Fil: Weber, Everett. Dartmouth College. Ofce of Institutional Research; Estados Unidos
Fil: Avalos, Arian. United States Department of Agriculture. The Agricultural Research Service (USDA-ARS). Honey Bee Breeding, Genetics and Physiology Research; Estados Unidos
Fil: Band, Mark. University of Illinois. Roy J. Carver Biotechnology Center; Estados Unidos
Fil: Akraiko, Tatsiana. University of Illinois. Roy J. Carver Biotechnology Center; Estados Unidos
Fil: Chen, Shu‑Ching. University of Missouri-Kansas City. Data Science and Analytics Innovation Center (dSAIC); Estados Unidos
Fil: Reyes, Maria P. Florida International University. Knight Foundation School of Computing and Information Sciences; Estados Unidos
Fil: Hao, Haiping. Johns Hopkins University. School of Medicine; Estados Unidos
Fil: Ortiz‑Alvarado, Yarira. University of Puerto Rico. Department of Biology; Estados Unidos
Fil: Cuf, Charles A. University of Puerto Rico. Department of Biology; Estados Unidos
Fil: Pérez Claudio, Eddie. University of Pittsburgh. School of Medicine. Department of Biomedical Informatics; Estados Unidos
Fil: Soto‑Adames, Felipe. Florida Department of Agriculture and Consumer Services. Division of Plant Industry; Estados Unidos
Fil: Smith‑Pardo, Allan H. United States Department of Agriculture. Animal and Plant Health Inspection Service. Plant Protection and Quarantine (USDA-APHIS-PPQ). Science and Technology; Estados Unidos
Fil: Meikle, William G. United States Department of Agriculture. The Agricultural Research Service (USDA-ARS). Carl Hayden Bee Research Center; Estados Unidos
Fil: Evans, Jay D. United States Department of Agriculture. The Agricultural Research Service (USDA-ARS). Bee Research Laboratory; Estados Unidos
Fil: Giray, Tugrul. University of Puerto Rico. Department of Biology; Estados Unidos
Fil: Abdelkader, Faten B. University of Carthage, National Agronomic Institute of Tunisia; Túnez
Fil: Allsopp, Mike. ARC-Plant Protection & Health. Honey Bee Research Section; Sudáfrica
Fil: Ball, Daniel. Forest Fruits Ltd; Zambia
Fil: Morgado, Susana B. Associação de Apicultores do Parque Natural do Tejo Internacional. Meltagus; Portugal
Fil: Barjadze, Shalva. Ilia State University. Institute of Zoology; Georgia
Fil: Correa‑Benitez, Adriana. Universidad Nacional Autónoma de México. Facultad de MedicinaVeterinaria y Zootecnia. Departamento de Medicina y Zootecnia de Abejas, Conejos y Organismos Aquáticos (DMZ:ACyOA); México
Fil: Chakir, Amina. University Cadi Ayyad. Semlalia Faculty of Sciences. Applied Chemistry Laboratory; Marruecos
Fil: Báez, David R. Amateur Beekeeper; Estados Unidos
Fil: Chavez, Nabor H. M. Cochabamba Beekeepers Federation (FEDAC); Bolivia
Fil: Dalmon, Anne. French National Research Institute for Agriculture, Food and Environment (INRAE); Francia
Fil: Douglas, Adrian B. University of Malta. Institute of Earth Systems, Rural Sciences Farmhouse; Malta
Fil: Fraccica, Carmen. Florida Department of Agriculture and Consumer Services. Division of Plant Industry; Estados Unidos
Fil: Fernández‑Marín, Hermógenes. Instituto de Investigaciones Científcas y Servicios de Alta Tecnología. Centro de Biodiversidad y Descubrimiento de Drogas; Panamá
Fil: Galindo Cardona, Alberto. Universidad Nacional de Tucumán. Instituto de Ecología Regional (IER); Argentina
Fil: Galindo Cardona, Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Guzman‑Novoa, Ernesto. University of Guelph. School of Environmental Sciences; Canadá
Fil: Horsburgh, Robert. Florida Department of Agriculture and Consumer Services. Division of Plant Industry; Estados Unidos
Fil: Kence, Meral. Middle East Technical University. Biology Department; Turquía
Fil: Kilonzo, Joseph. International Centre of Insect Physiology and Ecology; Kenia
Fil: Kükrer, Mert. Middle East Technical University. Biology Department; Turquía
Fil: Kükrer, Mert. Kilis 7 Aralık University. Molecular Biology and Genetics Department; Turquía
Fil: Le Conte, Yves. French National Research Institute for Agriculture, Food and Environment (INRAE); Francia
Fil: Mazzeo, Gaetana. Università Degli Studi Di Catania. Dipartimento di Agricoltura, Alimentazione e Ambiente; Italia
Fil: Mota, Fernando. Independent Beekeeper; Portugal
Fil: Muli, Elliud. International Centre of Insect Physiology and Ecology; Kenia
Fil: Muli, Elliud. South Eastern Kenya University; Kenia
Fil: Oskay, Devrim. Tekirdağ Namık Kemal University. Department of Agricultural Biotechnology; Turquía
Fil: Ruiz‑Martínez, José A. High School Lope de Vega. Professional Training in Livestock and Animal Health; España
Fil: Oliveri, Eugenia. Istituto Zooproflattico Sperimentale della Sicilia; Italia
Fil: Pichkhaia, Igor. Chkhorotsku Local Historical Museum; Georgia
Fil: Romane, Abderrahmane. University Cadi Ayyad. Semlalia Faculty of Sciences. Applied Chemistry Laboratory; Marruecos
Fil: Guillen Sanchez, Cesar. University of Costa Rica. Escuela de Agronomía, Sede del Atlántico; Costa Rica
Fil: Sikombwa, Evans. Forest Fruits Ltd; Zambia
Fil: Satta, Alberto. University of Sassari. Department of Agricultural Sciences; Italia
Fil: Scannapieco, Alejandra Carla. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética; Argentina
Fil: Scannapieco, Alejandra Carla. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular (IABIMO); Argentina
Fil: Scannapieco, Alejandra Carla. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Stanford, Brandi. Florida Department of Agriculture and Consumer Services. Division of Plant Industry; Estados Unidos
Fil: Soroker, Victoria. Agricultural Research Organization. The Volcani Center. Institute of Plant Protection. Department of Entomology; Israel
Fil: Velarde, Rodrigo A. PROMIEL-SEDEM. Bolivian Apiculture Institute (IAB); Bolivia
Fil: Vercelli, Monica. Independent Researcher; Italia
Fil: Huang, Zachary. Michigan State University. Apiculture Lab. Department of Entomology; Estados Unidos
description Background: Honey bees are the principal commercial pollinators. Along with other arthropods, they are increasingly under threat from anthropogenic factors such as the incursion of invasive honey bee subspecies, pathogens and parasites. Better tools are needed to identify bee subspecies. Genomic data for economic and ecologically important organisms is increasing, but in its basic form its practical application to address ecological problems is limited. Results: We introduce HBeeID a means to identify honey bees. The tool utilizes a knowledge-based network and diagnostic SNPs identified by discriminant analysis of principle components and hierarchical agglomerative clustering. Tests of HBeeID showed that it identifies African, Americas-Africanized, Asian, and European honey bees with a high degree of certainty even when samples lack the full 272 SNPs of HBeeID. Its prediction capacity decreases with highly admixed samples. Conclusion: HBeeID is a high-resolution genomic, SNP based tool, that can be used to identify honey bees and screen species that are invasive. Its flexible design allows for future improvements via sample data additions from other localities.
publishDate 2024
dc.date.none.fl_str_mv 2024-08
2025-07-01T15:18:59Z
2025-07-01T15:18:59Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/22854
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-024-05776-9
1471-2105
https://doi.org/10.1186/s12859-024-05776-9
url http://hdl.handle.net/20.500.12123/22854
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-024-05776-9
https://doi.org/10.1186/s12859-024-05776-9
identifier_str_mv 1471-2105
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv BioMed Central
publisher.none.fl_str_mv BioMed Central
dc.source.none.fl_str_mv BMC Bioinformatics 25 : 278 (August 2024)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.982451