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
.jpg)
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/22854
Ver los metadatos del registro completo
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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 author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| 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 |
| _version_ |
1846787606504800256 |
| score |
12.982451 |