In holometabolous insects, larval nutrition affects adult body size, a life history trait with a profound influence on performance and fitness. Individual nutritional components of larval diets are often complex and may interact with one another, necessitating the use of a geometric framework for elucidating nutritional effects. In the honey bee, Apis mellifera, nurse bees provision food to developing larvae, directly moderating growth rates and caste development. However, the eusocial nature of honey bees makes nutritional studies challenging, because diet components cannot be systematically manipulated in the hive. Using in vitro rearing, we investigated the roles and interactions between carbohydrate and protein content on larval survival, growth, and development in A. mellifera. We applied a geometric framework to determine how these two nutritional components interact across nine artificial diets. Honey bees successfully completed larval development under a wide range of protein and carbohydrate contents, with the medium protein (∼5%) diet having the highest survival. Protein and carbohydrate both had significant and non-linear effects on growth rate, with the highest growth rates observed on a medium-protein, low-carbohydrate diet. Diet composition did not have a statistically significant effect on development time. These results confirm previous findings that protein and carbohydrate content affect the growth of A. mellifera larvae. However, this study identified an interaction between carbohydrate and protein content that indicates a low-protein, high-carb diet has a negative effect on larval growth and survival. These results imply that worker recruitment in the hive would decline under low protein conditions, even when nectar abundance or honey stores are sufficient.

In species that care for their young, provisioning has profound effects on offspring fitness. Provisioning is important in honeybees because nutritional cues determine whether a female becomes a reproductive queen or sterile worker. A qualitative difference between the larval diets of queens and workers is thought to drive this divergence; however, no single compound seems to be responsible. Diet quantity may have a role during honeybee caste determination yet has never been formally studied. Our goal was to determine the relative contributions of diet quantity and quality to queen development. Larvae were reared in vitro on nine diets varying in the amount of royal jelly and sugars, which were fed to larvae in eight different quantities. For the middle diet, an ad libitum quantity treatment was included. Once adults eclosed, the queenliness was determined using principal component analysis on seven morphological measurements. We found that larvae fed an ad libitum quantity of diet were indistinguishable from commercially reared queens, and that queenliness was independent of the proportion of protein and carbohydrate in the diet. Neither protein nor carbohydrate content had a significant influence on the first principle component 1 (PC1), which explained 64.4% of the difference between queens and workers. Instead, the total quantity of diet explained a significant amount of the variation in PC1. Large amounts of diet in the final instar were capable of inducing queen traits, contrary to the received wisdom that queen determination can only occur in the third instar. These results indicate that total diet quantity fed to larvae may regulate the difference between queen and worker castes in honeybees.

Bees are economically and ecologically important pollinating species. Managed and native bee species face increasing pressures from human-created stressors such as habitat loss, pesticide use, and introduced pathogens. There has been increasing attention towards how each of these factors impacts fertility, especially sperm production and maintenance in males. Here, we turn our attention towards another important factor impacting phenotypic variation: genetics. Using honey bees as a model, we explore the current understanding of how genetic variation within and between populations contributes to variation in sperm production, sperm maintenance, and insemination success among males. We conclude with perspectives and future directions in the study of male fertility in honey bees and non-Apis pollinators more broadly, which still remain largely understudied.

Many species have separate haploid and diploid phases. Theory predicts that each phase should experience the effects of evolutionary forces (like selection) differently. In the haploid phase, all fitness-affecting alleles are exposed to selection, whereas in the diploid phase, those same alleles can be masked by homologous alleles. This predicts that selection acting on genes expressed in haploids should be more effective than diploid-biased genes. Unfortunately, in arrhenotokous species, this prediction can be confounded with the effects of sex-specific expression, as haploids are usually reproductive males. Theory posits that, when accounting for ploidal- and sex-specific expression, selection should be equally efficient on haploid- and diploid-biased genes relative to constitutive genes. Here, we used a multiomic approach in honey bees to quantify the evolutionary rates of haploid-biased genes and test the relative effects of sexual- and haploid-expression on molecular evolution. We found that 16% of the honey bee’s protein-coding genome is highly expressed in haploid tissue. When accounting for ploidy and sex, haploid- and diploid-biased genes evolve at a lower rate than expected, indicating that they experience strong negative selection. However, the rate of molecular evolution of haploid-biased genes was higher than diploid-based genes. Genes associated with sperm storage are a clear exception to this trend with evidence of strong positive selection. Our results provide an important empirical test of theory outlining how selection acts on genes expressed in arrhenotokous species. We propose the haploid life history stage affects genome-wide patterns of diversity and divergence because of both sexual and haploid selection.

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