Journal Apidologie

Modeling the effects of stress and premature hive exiting behavior on honey bee (Apis mellifera) colony survival - Apidologie Honey bees have a complex social structure, with many factors affecting colony survival. Mathematical models are therefore valuable for understanding how individual variables affect honey bee colony dynamics. Previous honey bee population models have shown that accelerated aging due to stress can lead to colony decline. Our previous work showed that general developmental stress causes a previously undocumented behavior whereby very young workers exit the colony before they can fly, leading them to die prematurely on the ground outside the hive. In this study, we modeled the effects of this premature hive exiting behavior on colony survival. We used parameters from previous studies to inform our model and incorporated empirical data regarding the rate of premature hive exiting behavior driven by various developmental stressors. An equation to link premature exit with accelerated aging was also introduced to mirror population dynamics across different worker age groups. We found that higher rates of premature hive exiting behavior can accelerate colony collapse. A feeding variable (provisioning colonies with extra sugar syrup) and a brood break variable (preventing the queen from laying eggs for a given time period to decrease Varroa mite levels) were added to the model to examine ways to counteract the negative effects of premature hive exiting behavior and to assess their effectiveness at regulating the progression of worker aging. Our results suggest that both supplemental feeding and implementing brood breaks can bring a colony back from the brink of collapse.

A new study finds that developmental stress is associated with young workers leaving hives too early and dying outside. Management tools like extra feeding + brood breaks can rescue stressed colonies
#HoneyBees #Pollinators #ColonyHealth
@julirangel.bsky.social
link.springer.com/article/10.1...

Past, present, and future of SSR molecular markers in bee studies - Apidologie Understanding bees, with their extensive morphological, phylogenetic, and behavioral diversity and their significant economic and ecological roles, requires integrating classical and modern scientific methods. Microsatellite (SSR—Simple Sequence Repeat) markers are a low-cost tool useful for various investigations at individual, colony, population, and species levels. However, a comprehensive review on the applications, trends, and Limitations of molecular markers in bee studies is lacking. We aimed to systematize the knowledge about microsatellite markers in bee research, characterize research trends, discuss their applications, and present their advantages and Limitations to address major knowledge gaps across various research themes. Additionally, we aimed to establish a preliminary database of microsatellite primers and their transferability across related species. We conducted a systematic review of research articles on microsatellites and bees published until 2023. Our review included 576 articles from all biogeographical realms, which covered 173 species from 19 families. Apidae (94.1%) and Halictidae (3.4%) were the most frequent bee families in studies, with a strong dominance of Apis and Bombus species, followed by Meliponini species. Future research should include more solitary species and additional species from underrepresented tribes. The reviewed articles spanned 11 research themes, ranging from basic bee biology to applied and multi-disciplinary research, with reproduction, conservation, behavior, evolution, breeding, and beekeeping being the most frequent themes. Microsatellite markers are a suitable choice for most research themes and show a promising trend for continued use in future bee studies.

🐝 New review: Past, present, and future of SSR molecular markers in bee studies. The study is based on 576 papers from 173 species. Results find that most work has focused on Apis & Bombus 🐝 and that SSRs remain powerful + low-cost for bee research
#Bees #Genetics
link.springer.com/article/10.1...