Literature DB >> 26991518

Larva-mediated chalkbrood resistance-associated single nucleotide polymorphism markers in the honey bee Apis mellifera.

Y Liu1, L Yan2, Z Li1, W-F Huang1,3, S Pokhrel1, X Liu1, S Su1,2.   

Abstract

Chalkbrood is a disease affecting honey bees that seriously impairs brood growth and productivity of diseased colonies. Although honey bees can develop chalkbrood resistance naturally, the details underlying the mechanisms of resistance are not fully understood, and no easy method is currently available for selecting and breeding resistant bees. Finding the genes involved in the development of resistance and identifying single nucleotide polymorphisms (SNPs) that can be used as molecular markers of resistance is therefore a high priority. We conducted genome resequencing to compare resistant (Res) and susceptible (Sus) larvae that were selected following in vitro chalkbrood inoculation. Twelve genomic libraries, including 14.4 Gb of sequence data, were analysed using SNP-finding algorithms. Unique SNPs derived from chromosomes 2 and 11 were analysed in this study. SNPs from resistant individuals were confirmed by PCR and Sanger sequencing using in vitro reared larvae and resistant colonies. We found strong support for an association between the C allele at SNP C2587245T and chalkbrood resistance. SNP C2587245T may be useful as a genetic marker for the selection of chalkbrood resistance and high royal jelly production honey bee lines, thereby helping to minimize the negative effects of chalkbrood on managed honey bees.
© 2016 The Royal Entomological Society.

Entities:  

Keywords:  Apis mellifera; SNP; breeding; chalkbrood; disease resistance; genome resequencing

Mesh:

Year:  2016        PMID: 26991518     DOI: 10.1111/imb.12216

Source DB:  PubMed          Journal:  Insect Mol Biol        ISSN: 0962-1075            Impact factor:   3.585


  1 in total

1.  Development of SNP assays for hessian fly response genes, Hfr-1 and Hfr-2, for marker-assisted selection in wheat breeding.

Authors:  Mui-Keng Tan; Mustapha El-Bouhssini; Ossie Wildman; Wuletaw Tadesse; Grant Chambers; Shuming Luo; Livinus Emebiri
Journal:  BMC Genet       Date:  2018-07-31       Impact factor: 2.797

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.