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Accurate Detection of scutellata‐Hybrids (Africanized Bees) Using a SNP‐Based Diagnostic Assay.

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Title: Accurate Detection of scutellata‐Hybrids (Africanized Bees) Using a SNP‐Based Diagnostic Assay.
Authors: Dogantzis, Kathleen A.1 (AUTHOR), Patel, Harshilkumar1 (AUTHOR), Rose, Stephen1 (AUTHOR), Conflitti, Ida M.1 (AUTHOR), Dey, Alivia1 (AUTHOR), Tiwari, Tanushree1 (AUTHOR), Chapman, Nadine C.2 (AUTHOR), Kadri, Samir M.3 (AUTHOR), Patch, Harland M.4 (AUTHOR), Muli, Elliud M.5 (AUTHOR), Alqarni, Abdulaziz S.6 (AUTHOR), Allsopp, Michael H.7 (AUTHOR), Zayed, Amro1 (AUTHOR) zayed@yorku.ca
Source: Ecology & Evolution (20457758). Nov2024, Vol. 14 Issue 11, p1-11. 11p.
Subject Terms: *Biological monitoring, Bee colonies, Machine learning, Bees, Single nucleotide polymorphisms, Honeybees
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. [ABSTRACT FROM AUTHOR]
Copyright of Ecology & Evolution (20457758) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Accurate Detection of scutellata‐Hybrids (Africanized Bees) Using a SNP‐Based Diagnostic Assay.
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  Data: <searchLink fieldCode="AR" term="%22Dogantzis%2C+Kathleen+A%2E%22">Dogantzis, Kathleen A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Patel%2C+Harshilkumar%22">Patel, Harshilkumar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rose%2C+Stephen%22">Rose, Stephen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Conflitti%2C+Ida+M%2E%22">Conflitti, Ida M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dey%2C+Alivia%22">Dey, Alivia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tiwari%2C+Tanushree%22">Tiwari, Tanushree</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chapman%2C+Nadine+C%2E%22">Chapman, Nadine C.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kadri%2C+Samir+M%2E%22">Kadri, Samir M.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Patch%2C+Harland+M%2E%22">Patch, Harland M.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Muli%2C+Elliud+M%2E%22">Muli, Elliud M.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Alqarni%2C+Abdulaziz+S%2E%22">Alqarni, Abdulaziz S.</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Allsopp%2C+Michael+H%2E%22">Allsopp, Michael H.</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zayed%2C+Amro%22">Zayed, Amro</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zayed@yorku.ca</i>
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  Data: <searchLink fieldCode="JN" term="%22Ecology+%26+Evolution+%2820457758%29%22">Ecology & Evolution (20457758)</searchLink>. Nov2024, Vol. 14 Issue 11, p1-11. 11p.
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  Data: *<searchLink fieldCode="DE" term="%22Biological+monitoring%22">Biological monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Bee+colonies%22">Bee colonies</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Bees%22">Bees</searchLink><br /><searchLink fieldCode="DE" term="%22Single+nucleotide+polymorphisms%22">Single nucleotide polymorphisms</searchLink><br /><searchLink fieldCode="DE" term="%22Honeybees%22">Honeybees</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Ecology & Evolution (20457758) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=181195524
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        Value: 10.1002/ece3.70554
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      – Code: eng
        Text: English
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        PageCount: 11
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    Subjects:
      – SubjectFull: Biological monitoring
        Type: general
      – SubjectFull: Bee colonies
        Type: general
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Bees
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      – SubjectFull: Single nucleotide polymorphisms
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      – TitleFull: Accurate Detection of scutellata‐Hybrids (Africanized Bees) Using a SNP‐Based Diagnostic Assay.
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              Text: Nov2024
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