Metabolic rate does not explain performance on a short-term memory task or personality traits in juvenile chickens (Gallus gallus domesticus).

Metabolic rate determines life processes and the physiological requirements of an individual, and has recently been implicated as a driver of inter-individual variation in behaviour, with positive correlations associated with boldness, exploration and aggressive behaviours being recorded. While the link between metabolism and personality has been explored, little is known about the influence of metabolism on cognitive abilities. Here we used juvenile female chickens (Gallus gallus domesticus) to investigate the relationships between metabolic rate at rest, short-term memory, personality, and dominance. Resting metabolic rates of the chicks were measured over a three-week period, concurrently with measures of short-term memory using an analogue of the radial arm maze. We also measured latency to leave the shelter (boldness), neophobia (fear of novel objects) and dominance within a group, both before and after short-term memory trials. We found that metabolic rate did not explain inter-individual differences in short-term memory, personality traits or dominance, suggesting that energy allocated to these traits is independent of individual metabolic rate, and providing evidence for the independent energy-management hypothesis. Differences in short-term memory were also not explained by boldness or neophobia. Variation in behaviour in chicks, therefore, appears to be driven by separate, currently unknown variables.

Ecology dictates the value of memory for foraging bees.

"Ecological intelligence" hypotheses posit that animal learning and memory evolve to meet the demands posed by foraging and, together with social intelligence and cognitive buffer hypotheses, provide a key framework for understanding cognitive evolution.1-5 However, identifying the critical environments where cognitive investment reaps significant benefits has proved challenging.6-8 Here, we capitalize upon seasonal variation in forage availability for a social insect model (Bombus terrestris audax) to establish how the benefits of short-term memory, assayed using a radial arm maze (RAM), vary with resource availability. Following a staggered design over 2 years, whereby bees from standardized colonies at identical life-history stages underwent cognitive testing before foraging in the wild, we found that RAM performance predicts foraging efficiency-a key determinant of colony fitness-in plentiful spring foraging conditions but that this relationship is reversed during the summer floral dearth. Our results suggest that the selection for enhanced cognitive abilities is unlikely to be limited to harsh environments where food is hard to find or extract,5,9-11 highlighting instead that the challenges of rich and plentiful environments, which present multiple options in short succession, could be a broad driver in the evolution of certain cognitive traits. VIDEO ABSTRACT.

Pollen Source Richness May Be a Poor Predictor of Bumblebee (Bombus terrestris) Colony Growth.

Agricultural intensification has drastically altered foraging landscapes for bees, with large-scale crop monocultures associated with floral diversity loss. Research on bumblebees and honeybees has shown individuals feeding on pollen from a low richness of floral sources can experience negative impacts on health and longevity relative to higher pollen source richness of similar protein concentrations. Florally rich landscapes are thus generally assumed to better support social bees. Yet, little is known about whether the effects of reduced pollen source richness can be mitigated by feeding on pollen with higher crude protein concentration, and importantly how variation in diet affects whole colony growth, rearing decisions and sexual production. Studying queen-right bumblebee (Bombus terrestris) colonies, we monitored colony development under a polyfloral pollen diet or a monofloral pollen diet with 1.5-1.8 times higher crude protein concentration. Over 6 weeks, we found monofloral colonies performed better for all measures, with no apparent long-term effects on colony mass or worker production, and a higher number of pupae in monofloral colonies at the end of the experiment. Unexpectedly, polyfloral colonies showed higher mortality, and little evidence of any strategy to counteract the effects of reduced protein; with fewer and lower mass workers being reared, and males showing a similar trend. Our findings (i) provide well-needed daily growth dynamics of queenright colonies under varied diets, and (ii) support the view that pollen protein content in the foraging landscape rather than floral species richness per se is likely a key driver of colony health and success.

How should we store avian faecal samples for microbiota analyses? Comparing efficacy and cost-effectiveness.

Analyses of bacterial DNA in faecal samples are becoming ever more common, yet we still do not know much about bird microbiomes. These challenges partly lie in the unique chemical nature of their faeces, and in the choice of sample storage method, which affects DNA preservation and the resulting microbiome composition. However, there is little information available on how best to preserve avian faeces for microbial analyses. This study evaluates five widely used methods for preserving nucleic acids and inferring microbiota profiles, for their relative efficacy, cost, and practicality. We tested the five methods (in-situ bead-beating with a TerraLyzer instrument, silica-bead desiccation, ethanol, refrigeration and RNAlater buffer) on 50 fresh faecal samples collected from captive House sparrows (Passer domesticus). In line with other studies, we find that different storage methods lead to distinct bacterial profiles. Storage method had a large effect on community composition and the relative abundance of dominant phyla such as Firmicutes and Proteobacteria, with the most significant changes observed for refrigerated samples. Furthermore, differences in the abundance of aerobic or facultatively aerobic taxa, particularly in refrigerated samples and those stored in ethanol, puts limits on comparisons of bacterial communities across different storage methods. Finally, the methods that did not include in-situ bead-beating did not recover comparable levels of microbiota to the samples that were immediately processed and preserved using a TerraLyzer device. However, this method is also less practical and more expensive under field work circumstances. Our study is the most comprehensive analysis to date on how storage conditions affect subsequent molecular assays applied to avian faeces and provides guidance on cost and practicality of methods under field conditions.