Biology subjects

Gregorc, A.

Publications and source records attributed to Gregorc, A..

3 recordsLinked to original sources

bioRxiv2026

A Putative Single-Locus Determinant of the Suppressed In Ovo Virus Infection (SOV) Trait in Apis mellifera

Today, the deformed wing virus (DWV) can be considered as one of the major causes of global elevated western honey bee colony losses (Apis mellifera). Virus transmission may occur horizontally between individuals of the same generation, but also vertically from parents to offspring. The recently defined heritable suppressed in ovo virus infection (SOV) trait describes the absence of viruses in pooled drone eggs of a queen, associated with significant lower DWV prevalence and viral loads in the subsequent developmental offspring stages. By definition, the trait reflects the absence of vertical virus transmission from SOV-positive (SOV+) queens themselves to their offspring. However, the genetic basis influencing this heritable virus resilience has not been identified yet. In this study, we aimed to identify SOV-associated genetic marker(s) or loci in the honey bee genome through genome-wide variant comparison of 44 DWV-positive and 44 DWV-negative drone pupae descendent from an artificially created hybrid SOV+/SOV- colony. After whole genome sequencing (WGS), variant calling, and genotype-phenotype association analysis by means of single marker tests and elastic net regression, one variant in a locus of 241.246 bp on chromosome 7 that contained 17 other highly SOV-associated variants classified 68,2% of the drone phenotypes correctly. These results may support the potential application of marker-assisted selection (MAS) strategies targeting reduced vertical virus transmission in honey bees.

genomics↗

bioRxiv2022

Dynamics in vertical transmission of viruses in naturally selected and traditionally managed honey bee colonies across Europe

The suppressed in-ovo virus infection trait (SOV) was the first trait applied in honey bee breeding programs aimed to increase resilience to virus infections, a major threat for colony survival. By screening drone eggs for viruses, the SOV trait scores the antiviral resistance of queens and its implications for vertical transmission. In this study, queens from both naturally surviving and traditionally managed colonies from across Europe were screened using a two-fold improved SOV phenotyping protocol. First, a gel-based RT-PCR was replaced by a RT-qPCR. This not only allowed quantification of the infection load but also increased the test sensitivity. Second, a genotype specific primer set was replaced by a primer set that covered all known deformed wing virus (DWV) genotypes, which resulted in higher virus loads and fewer false negative results. It was demonstrated that incidences of vertical transmission of DWV were more frequent in naturally surviving populations than in traditionally managed colonies, although the virus load in the eggs remained the same. Dynamics in vertical transmission were further emphasized when comparing virus infections with queen age. Interestingly, older queens showed significantly lower infection loads of DWV in both traditionally managed and naturally surviving colonies, as well as reduced DWV infection frequencies in traditionally managed colonies when compared with younger queens. Seasonal variation in vertical transmission was found with lower infection frequencies in spring compared to summer for DWV and black queen cell virus. Together, these patterns in vertical transmission suggest an adaptive antiviral response of queens aimed at reducing vertical transmission over time.

ecology↗

bioRxiv2021

Complex population structure and haplotype patterns in Western Europe honey bee from sequencing a large panel of haploid drones

Honey bee subspecies originate from specific geographic areas in Africa, Europe and the Middle East. The interest of beekeepers in specific phenotypes has led them to import subspecies to regions outside of their original range. The resulting admixture complicates population genetics analyses and population stratification can be a major problem for association studies. As a typical example, the case of the French population is studied here. We sequenced 870 haploid drones for SNP detection and identified nine genetic backgrounds in 629 samples. Five correspond to subspecies, two to isolated populations and two to human-mediated population management. We also highlight several large haplotype blocks, some of which coincide with the position of centromeres. The largest is 3.6 Mb long on chromosome 11, representing 1.6 % of the genome and has two major haplotypes, corresponding to the two dominant genetic backgrounds identified.

genetics↗