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Title:Complex population structure and haplotype patterns in the Western European honey bee from sequencing a large panel of haploid drones
Authors:ID Wragg, David (Author)
ID Eynard, Sonia E. (Author)
ID Basso, Benjamin (Author)
ID Canale-Tabet, Kamila (Author)
ID Labarthe, Emmanuelle (Author)
ID Bouchez, Olivier (Author)
ID Bienefeld, Kaspar (Author)
ID Bieńkowska, Małgorzata (Author)
ID Costa, Cecilia (Author)
ID Gregorc, Aleš (Author)
ID Kryger, Per (Author)
ID Parejo, Melanie (Author)
ID Pinto, Alice M. (Author)
ID Bidanel, Jean-Pierre (Author)
ID Servin, Bertrand (Author)
ID Le Conte, Yves (Author)
ID Vignal, Alain (Author)
Files:.pdf Wragg-2022-Complex_population_structure_and_ha.pdf (3,07 MB)
MD5: 518EBBA27ED552C57776AD337CBEAE76
 
URL https://doi.org/10.1111/1755-0998.13665
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FKBV - Faculty of Agriculture and Life Sciences
Abstract:Honey bee subspecies originate from specific geographical areas in Africa, Europe and the Middle East, and beekeepers interested in specific phenotypes have imported genetic material to regions outside of the bees' original range for use either in pure lines or controlled crosses. Moreover, imported drones are present in the environment and mate naturally with queens from the local subspecies. The resulting admixture complicates population genetics analyses, and population stratification can be a major problem for association studies. To better understand Western European honey bee populations, we produced a whole genome sequence and single nucleotide polymorphism (SNP) genotype data set from 870 haploid drones and demonstrate its utility for the identification of nine genetic backgrounds and various degrees of admixture in a subset of 629 samples. Five backgrounds identified correspond to subspecies, two to isolated populations on islands and two to managed populations. We also highlight several large haplotype blocks, some of which coincide with the position of centromeres. The largest is 3.6 Mb long and represents 21% of chromosome 11, with two major haplotypes corresponding to the two dominant genetic backgrounds identified. This large naturally phased data set is available as a single vcf file that can now serve as a reference for subsequent populations genomics studies in the honey bee, such as (i) selecting individuals of verified homogeneous genetic backgrounds as references, (ii) imputing genotypes from a lower-density data set generated by an SNP-chip or by low-pass sequencing, or (iii) selecting SNPs compatible with the requirements of genotyping chips.
Keywords:genome, haplotype, honey bee, population genetics, SNP
Publication status:Published
Publication version:Version of Record
Submitted for review:24.11.2021
Article acceptance date:01.06.2022
Publication date:11.06.2022
Publisher:Blackwell
Year of publishing:2022
Number of pages:Str. 3068-3086
Numbering:Letn. 22, Št. 8
PID:20.500.12556/DKUM-89405 New window
UDC:575:638.1
ISSN on article:1755-098X
COBISS.SI-ID:116901379 New window
DOI:10.1111/1755-0998.13665 New window
Publication date in DKUM:08.07.2024
Views:103
Downloads:7
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Molecular ecology resources
Shortened title:Mol. ecol. resour.
Publisher:Blackwell
ISSN:1755-098X
COBISS.SI-ID:5711737 New window

Document is financed by a project

Funder:Other - Other funder or multiple funders
Funding programme:SeqApiPop programme
Project number:14-21-AT
Name:Bienvenue sur le site de l’établissement national des produits de l’agriculture et de la mer
Acronym:FranceAgriMer

Funder:Other - Other funder or multiple funders
Name:INRA Animal Genetics division
Acronym:INRA

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:11.06.2022

Secondary language

Language:Slovenian
Keywords:genom, haplotip, medonosna čebela, populacijska genetika, polimorfizem posameznega nukleotida


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