Biology subjects

Manfredini, F.

Publications and source records attributed to Manfredini, F..

4 recordsLinked to original sources

bioRxiv2025

BeeSAM2: detecting bees in cherry flowers using timelapse images and foundational models

Bees perform important pollination services in fruit crops such as cherry. Growers will often bring in bees to supplement natural pollinators. Monitoring the performance of these pollinators is important to understand the impact of augmenting pollinators on fruit yield particularly in relation to June drop which is a major cause of yield instability in the cherry industry. Timelapse imaging plus automated image analysis methods is a valuable tool in studying the role of bee pollination in fruit set. Timelapse cameras allow for continuous monitoring of the flowers, but manual analysis of the generated footage is very time consuming. We have developed a novel method of detecting bees in time lapse images, called BeeSAM2. This exploits both the zero shot detector Grounding Dino and the foundational model Segment Anything 2. Promising results are achieved with the method able to detect the bumblebee Bombus terrestris in images with a recall of 0.959 and precision of 0.991. These results are accurate enough to deploy our method to quantify bee activity in cherry plantations, advancing the ability of researchers to monitor bee interactions with flowers with a significant time saving over manual analysis of timelapse footage.

ecology↗

bioRxiv2025

Neurotranscriptomic profiling of DWV-infected honey bee foragers with different cognitive abilities

Honey bees (Apis mellifera) provide important ecosystem services to both natural and human-managed environments, but are increasingly threatened by a variety of pathogens, the most common of which is deformed wing virus (DWV). DWV is known to replicate in the honey bee brain and has been documented as both improving and impairing olfactory learning and memory. We examined the transcriptomic response of the honey bee mushroom bodies--an area of the insect brain associated with higher cognitive functions--in bees with naturally occurring DWV infections who varied in their ability to perform an associative learning task. RNA-seq analysis detected increased expression of genes involved in the immune response, including important antimicrobial peptides (AMPs) such as hymenoptaecin, apidaecin, and abaecin, and the downreguation of lysozyme, PPO, and other genes associated with responses to a range of stressors. Additionally, gene ontology (GO) enrichment analysis revealed overrepresentation of key biological processes which form part of the immune response. We also noted significant differential expression of long non-coding RNAs (lncRNAs) presumed to be acting in a regulatory manner, and used these lncRNAs to construct gene regulatory networks (GRNs). Strikingly, in contrast to previous studies on bees with artificially-induced infections that have examined viral loads in the abdomen and non-specific areas of the brain, no correlation between DWV load in the mushroom bodies and cognitive function was noted. This highlights the complexity of host-pathogen interactions in honey bee neural tissues and the benefits of a spatially-refined approach to brain transcriptomics in naturally-occurring infections.

genomics↗

bioRxiv2024

Testing the reality gap with kilobots performing two ant-inspired foraging behaviours

Robotics looks to nature for inspiration to perform effectively in unstructured environments and can be used as a platform to test biological hypotheses. Social animals often share information about food source locations: one example is tandem running in ants, where a leader guides a naive recruit to a known profitable food site. This is extremely advantageous as it allows the sharing of important information among colony members, but it also has costs, such as waiting time inside the nest when no leaders are around, and a reduced walking speed for the tandem couple compared to individual ants. Whether and when these costs outweigh the benefits is not well understood as it is challenging to observe complex social behaviours in nature. We developed two kilobot-based approaches to compare tandem running and lone scout foraging, where an ant searches for food without any previous knowledge of its location: one approach based on real-life experiments and one on computer simulations. We investigated the role that the size of the search arena played in the effectiveness of foraging. Tandem pairs were faster for all three arena sizes; however, this result was reversed in the simulations. These results highlight the inconsistencies between simulation and real-life kilobot experiments, previously reported for other systems and known as reality gap. Further testing is needed to inform on whether robotic applications should utilise agents with the same roles and capabilities for search, detection and repair-type tasks as simulations, or whether instead the two approaches should be treated separately.

bioengineering↗

bioRxiv2023

Learning performance and GABAergic pathway link to deformed wing virus in the mushroom bodies of naturally infected honey bees

Viral infections can be detrimental to the foraging ability of the Western honey bee Apis mellifera. These include the deformed wing virus (DWV), which is the most common honey bee virus and has been proposed as a possible cause of learning and memory impairment. However, evidence for this phenomenon so far has come from artificially infected bees, while less is known about the implications of natural infections with the virus. Using the proboscis extension reflex (PER), we uncovered no significant association between a simple associative learning task and natural DWV loads. However, when assessed through a reversal associative learning assay, bees with higher DWV loads performed better in the reversal learning phase. DWV is able to replicate in the honey bee mushroom bodies, where the GABAergic signalling pathway has an antagonistic effect on associative learning but is crucial for reversal learning. Hence, we assessed the pattern of expression of several GABA-related genes in bees with different learning responses. Intriguingly, mushroom body expression of selected genes was positively correlated with DWV load, but only for bees with good reversal learning performance. We hypothesize that DWV might improve olfactory learning performance by enhancing the GABAergic inhibition of responses to unrewarded stimuli, which is consistent with the behavioural patterns that we observed. Our results suggest that previously reported DWV-driven learning deficits might be exclusive to acute, artificial infections and do not occur in naturally infected bees, stressing the importance of investigating more ecologically relevant scenarios when assessing host-parasite systems. Summary statementThis study describes a virus-associated increase in learning in honey bees and proposes a mechanism based on GABA to explain the interplay between infection and cognition in the insect brain.

animal behavior and cognition↗