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Tool for genomic selection and breeding to evolutionary adaptation: Development of a 100K single nucleotide polymorphism array for the honey bee.

ABSTRACT: High-throughput high-density genotyping arrays continue to be a fast, accurate, and cost-effective method for genotyping thousands of polymorphisms in high numbers of individuals. Here, we have developed a new high-density SNP genotyping array (103,270 SNPs) for honey bees, one of the most ecologically and economically important pollinators worldwide. SNPs were detected by conducting whole-genome resequencing of 61 honey bee drones (haploid males) from throughout Europe. Selection of SNPs for the chip was done in multiple steps using several criteria. The majority of SNPs were selected based on their location within known candidate regions or genes underlying a range of honey bee traits, including hygienic behavior against pathogens, foraging, and subspecies. Additionally, markers from a GWAS of hygienic behavior against the major honey bee parasite Varroa destructor were brought over. The chip also includes SNPs associated with each of three major breeding objectives-honey yield, gentleness, and Varroa resistance. We validated the chip and make recommendations for its use by determining error rates in repeat genotypings, examining the genotyping performance of different tissues, and by testing how well different sample types represent the queen's genotype. The latter is a key test because it is highly beneficial to be able to determine the queen's genotype by nonlethal means. The array is now publicly available and we suggest it will be a useful tool in genomic selection and honey bee breeding, as well as for GWAS of different traits, and for population genomic, adaptation, and conservation questions.

SUBMITTER: Jones JC

PROVIDER: S-EPMC7381592 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Tool for genomic selection and breeding to evolutionary adaptation: Development of a 100K single nucleotide polymorphism array for the honey bee.

Jones Julia C JC Du Zhipei G ZG Bernstein Richard R Meyer Monique M Hoppe Andreas A Schilling Elmar E Ableitner Martin M Juling Katrin K Dick Regina R Strauss Anja S AS Bienefeld Kaspar K

Ecology and evolution 20200608 13

High-throughput high-density genotyping arrays continue to be a fast, accurate, and cost-effective method for genotyping thousands of polymorphisms in high numbers of individuals. Here, we have developed a new high-density SNP genotyping array (103,270 SNPs) for honey bees, one of the most ecologically and economically important pollinators worldwide. SNPs were detected by conducting whole-genome resequencing of 61 honey bee drones (haploid males) from throughout Europe. Selection of SNPs for th ...[more]

PMID: 32724511

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Project description:The honey bee Apis mellifera is a rather difficult object for selection due to the peculiarities of its biology. Breeding activities in beekeeping are aimed at obtaining bee colonies with high rates of economically useful traits, such as productivity, resistance to low temperatures and diseases, hygienic behavior, oviposition of the queen, etc. With two apiaries specializing in the breeding of A. m. mellifera and A. m. carnica as examples, the application of genetic methods in the selection of honey bees is considered. The first stage of the work was subspecies identification based on the analysis of the polymorphism of the intergenic mtDNA locus tRNAleu-COII (or COI-COII) and microsatellite nuclear DNA loci Ap243, 4a110, A24, A8, A43, A113, A88, Ap049, A28. This analysis confirmed that the studied colonies correspond to the declared subspecies. In the apiary with A. m. mellifera, hybrid colonies have been identified. A method based on the analysis of polymorphisms of the tRNAleu-COII locus and microsatellite nuclear DNA loci has been developed to identify the dark forest bee A. m. mellifera and does not allow one to differentiate subspecies from C (A. m. carnica and A. m. ligustica) and O (A. m. caucasica) evolutionary lineages from each other. The second stage was the assessment of the allelic diversity of the csd gene. In the apiary containing colonies of A. m. mellifera (N = 15), 20 csd alleles were identified. In the apiary containing colonies of A. m. carnica (N = 44), 41 alleles were identified. Six alleles are shared by both apiaries. DNA diagnostics of bee diseases showed that the studied colonies are healthy. Based on the data obtained, a scheme was developed for obtaining primary material for honey bee breeding, which can subsequently be subjected to selection according to economically useful traits. In addition, the annual assessment of the allelic diversity of the csd gene will shed light on the frequency of formation of new allelic variants and other issues related to the evolution of this gene.

Dataset Information

Tool for genomic selection and breeding to evolutionary adaptation: Development of a 100K single nucleotide polymorphism array for the honey bee.

Publications

Tool for genomic selection and breeding to evolutionary adaptation: Development of a 100K single nucleotide polymorphism array for the honey bee.

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