The impacts of invertebrate RNA virus population dynamics on virulence and infection outcomes are poorly understood. Deformed wing virus (DWV), the main viral pathogen of honey bees, negatively impacts bee health, which can lead to colony death. Despite previous reports on the reduction of DWV diversity following the arrival of the parasitic mite Varroa destructor, the key DWV vector, we found high genetic diversity of DWV in infested United States honey bee colonies. Phylogenetic analysis showed that divergent US DWV genotypes are of monophyletic origin and were likely generated as a result of diversification after a genetic bottleneck. To investigate the population dynamics of this divergent DWV, we designed a series of novel infectious cDNA clones corresponding to coexisting DWV genotypes, thereby devising a reverse-genetics system for an invertebrate RNA virus quasispecies. Equal replication rates were observed for all clone-derived DWV variants in single infections. Surprisingly, individual clones replicated to the same high levels as their mixtures and even the parental highly diverse natural DWV population, suggesting that complementation between genotypes was not required to replicate to high levels. Mixed clone–derived infections showed a lack of strong competitive exclusion, suggesting that the DWV genotypes were adapted to coexist. Mutational and recombination events were observed across clone progeny, providing new insights into the forces that drive and constrain virus diversification. Accordingly, our results suggest that Varroa influences DWV dynamics by causing an initial selective sweep, which is followed by virus diversification fueled by negative frequency-dependent selection for new genotypes. We suggest that this selection might reflect the ability of rare lineages to evade host defenses, specifically antiviral RNA interference (RNAi). In support of this hypothesis, we show that RNAi induced against one DWV strain is less effective against an alternate strain from the same population.

The western honey bee remains the most important pollinator for agricultural crops. Disease and stressors threaten honey bee populations and productivity during winter- and summertime, creating costs for beekeepers and negative impacts on agriculture. To combat diseases and improve overall bee health, researchers are constantly developing honey bee medicines using the tools of microbiology, molecular biology and chemistry. Below, we present a manifesto alongside standardized protocols that outline the development and a systematic approach to test natural products as ‘bee medicines’. These will be accomplished in both artificial rearing conditions and in colonies situated in the field. Output will be scored by gene expression data of host immunity, bee survivorship, reduction in pathogen titers, and more subjective merits of the compound in question. Natural products, some of which are already encountered by bees in the form of plant resins and nectar compounds, provide promising low-cost candidates for safe prophylaxis or treatment of bee diseases.

The honey bee Apis mellifera L. colony is headed by a single and indispensable queen, whose duty it is to ensure brood production and provide pheromonal stability within the colony. This study presents a non-invasive method that allows the identification of the queen maternal lineage and subspecies using the remaining tissue of her clipped wing. The DraI mtDNA COI-COII (DmCC) test was applied to various sizes of queen and worker wings and the results were compared with data obtained from other bee tissues. Furthermore, we propose a new method allowing in silico transition of the DmCC test and haplotype identification based on extended sequencing of the tRNAleu and COII genes. Our results show that DNA extracted by Chelex 10% from one-third of a queen’s wing is deemed adequate for a successful identification of her maternal evolutionary lineage, haplotype and subspecies. The in silico method proposed in this study fully adheres to the established guidelines of the DmCC, provides a universal standard for haplotype identification, and offers faster and more precise results by reconciling both cleaved amplified polymorphic sequences (CAPS) and Sanger sequencing approaches.

and Implications Understanding the biological mechanisms underlying feed efficiency is paramount to creating a more efficient pork production system. Selection for residual feed intake (RFI) is a measure of feed efficiency and can be used as a model to determine these biological mechanisms. The mitochondria are responsible for the conversion of dietary energy to cellular energy in the form of ATP. ATP is used by many biological pathways for both growth and maintenance. These data show the mitochondria protein profile is altered with genetic selection for RFI. This alteration in protein profile indicates mitochondria from more efficient low RFI pigs may be better equipped to handle physiological stress than their less efficient high RFI counterparts. Some of these differences are highlighted in heat shock proteins, and proteins responsible for ATP production. These alterations in the protein profile provide clues for determining the biological differences between pigs genetically selected from low and high RFI.