Accurate Detection of scutellata‐Hybrids (Africanized Bees) Using a SNP‐Based Diagnostic Assay
ABSTRACT Hybrid populations of Africanized honey bees (scutellata‐hybrids), notable for their defensive behaviour, have spread rapidly throughout South and North America since their unintentional introduction. Although their migration has slowed, the large‐scale trade and movement of honey bee queen...
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Wiley
2024-11-01
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| Series: | Ecology and Evolution |
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| Online Access: | https://doi.org/10.1002/ece3.70554 |
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| author | Kathleen A. Dogantzis Harshilkumar Patel Stephen Rose Ida M. Conflitti Alivia Dey Tanushree Tiwari Nadine C. Chapman Samir M. Kadri Harland M. Patch Elliud M. Muli Abdulaziz S. Alqarni Michael H. Allsopp Amro Zayed |
| author_facet | Kathleen A. Dogantzis Harshilkumar Patel Stephen Rose Ida M. Conflitti Alivia Dey Tanushree Tiwari Nadine C. Chapman Samir M. Kadri Harland M. Patch Elliud M. Muli Abdulaziz S. Alqarni Michael H. Allsopp Amro Zayed |
| author_sort | Kathleen A. Dogantzis |
| collection | DOAJ |
| description | ABSTRACT Hybrid populations of Africanized honey bees (scutellata‐hybrids), notable for their defensive behaviour, have spread rapidly throughout South and North America since their unintentional introduction. Although their migration has slowed, the large‐scale trade and movement of honey bee queens and colonies raise concern over the accidental importation of scutellata‐hybrids to previously unoccupied areas. Therefore, developing an accurate and robust assay to detect scutellata‐hybrids is an important first step toward mitigating risk. Here, we used an extensive population genomic dataset to assess the genomic composition of Apis mellifera native populations and patterns of genetic admixture in North and South American commercial honey bees. We used this dataset to develop a SNP assay, where 80 markers, combined with machine learning classification, can accurately differentiate between scutellata‐hybrids and non‐scutellata‐hybrid commercial colonies. The assay was validated on 1263 individuals from colonies located in Canada, the United States, Australia and Brazil. Notably, we demonstrate that using a reduced SNP set of as few as 10 loci can still provide accurate results. |
| format | Article |
| id | doaj-art-f6912bcd55ec40dc8e125351efc149d0 |
| institution | Kabale University |
| issn | 2045-7758 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecology and Evolution |
| spelling | doaj-art-f6912bcd55ec40dc8e125351efc149d02024-12-20T04:20:57ZengWileyEcology and Evolution2045-77582024-11-011411n/an/a10.1002/ece3.70554Accurate Detection of scutellata‐Hybrids (Africanized Bees) Using a SNP‐Based Diagnostic AssayKathleen A. Dogantzis0Harshilkumar Patel1Stephen Rose2Ida M. Conflitti3Alivia Dey4Tanushree Tiwari5Nadine C. Chapman6Samir M. Kadri7Harland M. Patch8Elliud M. Muli9Abdulaziz S. Alqarni10Michael H. Allsopp11Amro Zayed12Department of Biology York University Toronto Ontario CanadaDepartment of Biology York University Toronto Ontario CanadaDepartment of Biology York University Toronto Ontario CanadaDepartment of Biology York University Toronto Ontario CanadaDepartment of Biology York University Toronto Ontario CanadaDepartment of Biology York University Toronto Ontario CanadaBehaviour, Ecology and Evolution Laboratory, School of Life and Environmental Sciences University of Sydney Sydney AustraliaDepartment of Animal Production and Preventive Veterinary Medicine, School of Veterinary Medicine and Animal Science São Paulo State University (UNESP) Botucatu São Paulo BrazilDepartment of Entomology The Pennsylvania State University State College Pennsylvania USADepartment of Life Science South Eastern Kenya University (SEKU) Kitui KenyaDepartment of Plant Protection, College of Food and Agriculture Sciences King Saud University Riyadh Saudi ArabiaPlant Protection & Health Agricultural Research Council Stellenbosch South AfricaDepartment of Biology York University Toronto Ontario CanadaABSTRACT Hybrid populations of Africanized honey bees (scutellata‐hybrids), notable for their defensive behaviour, have spread rapidly throughout South and North America since their unintentional introduction. Although their migration has slowed, the large‐scale trade and movement of honey bee queens and colonies raise concern over the accidental importation of scutellata‐hybrids to previously unoccupied areas. Therefore, developing an accurate and robust assay to detect scutellata‐hybrids is an important first step toward mitigating risk. Here, we used an extensive population genomic dataset to assess the genomic composition of Apis mellifera native populations and patterns of genetic admixture in North and South American commercial honey bees. We used this dataset to develop a SNP assay, where 80 markers, combined with machine learning classification, can accurately differentiate between scutellata‐hybrids and non‐scutellata‐hybrid commercial colonies. The assay was validated on 1263 individuals from colonies located in Canada, the United States, Australia and Brazil. Notably, we demonstrate that using a reduced SNP set of as few as 10 loci can still provide accurate results.https://doi.org/10.1002/ece3.70554Africanized honey beeApis melliferabiomonitoringclassificationmachine learning |
| spellingShingle | Kathleen A. Dogantzis Harshilkumar Patel Stephen Rose Ida M. Conflitti Alivia Dey Tanushree Tiwari Nadine C. Chapman Samir M. Kadri Harland M. Patch Elliud M. Muli Abdulaziz S. Alqarni Michael H. Allsopp Amro Zayed Accurate Detection of scutellata‐Hybrids (Africanized Bees) Using a SNP‐Based Diagnostic Assay Ecology and Evolution Africanized honey bee Apis mellifera biomonitoring classification machine learning |
| title | Accurate Detection of scutellata‐Hybrids (Africanized Bees) Using a SNP‐Based Diagnostic Assay |
| title_full | Accurate Detection of scutellata‐Hybrids (Africanized Bees) Using a SNP‐Based Diagnostic Assay |
| title_fullStr | Accurate Detection of scutellata‐Hybrids (Africanized Bees) Using a SNP‐Based Diagnostic Assay |
| title_full_unstemmed | Accurate Detection of scutellata‐Hybrids (Africanized Bees) Using a SNP‐Based Diagnostic Assay |
| title_short | Accurate Detection of scutellata‐Hybrids (Africanized Bees) Using a SNP‐Based Diagnostic Assay |
| title_sort | accurate detection of scutellata hybrids africanized bees using a snp based diagnostic assay |
| topic | Africanized honey bee Apis mellifera biomonitoring classification machine learning |
| url | https://doi.org/10.1002/ece3.70554 |
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