Sleep/Wake Cycle Parameters and Sleep/Fatigue Complaints in Female Night Workers

Adaptation to shift-work is influenced by the way workers schedule their lives, including allocation of sleep episodes. Female workers ( n = 29) engaged at an assembly line were studied as to individual differences in sleep parameters in order to verify whether those differences could be related to the manifestation of sleep and fatigue complaints. The sample was composed of women (20-40 y) working at night from Monday to Friday. Sleep data were based on daily sleep logs which were filled out by the workers for 10 consecutive weeks. In the analyses of sleep data both diurnal episodes between consecutive night shifts and noctural sleep episodes preceding working nights were taken into account. Worker's complaints were analyzed through questions extracted from an interview form encompassing questions on fatigue associated with the work schedule and on dissatisfaction with sleep on weekdays and weekends. The analysis of diurnal episodes showed no significant correlation between the total amount of sleep per day and the total number of complaints. Nevertheless, the latter was correlated to the length of the first sleep episode on a day, which usually began in the morning. As to sleep onset times, significant correlations were not detected concerning the first diurnal episodes. The analysis of nocturnal episodes did not reveal any significant correlation between sleep parameters and complaints. Results indicate that workers whose sleep onsets were allocated to the morning and were able to sleep for many consecutive hours, tended to show less complaints, suggesting that the temporal allocation of diurnal sleep and its length are relevant in the determination of how these workers perceive fatigue and sleep quality.     

Genome-wide SNPs detect no evidence of genetic population structure for reef manta rays (Mobula alfredi) in southern Mozambique

Little is known about the extent of genetic connectivity along continuous coastlines in manta rays, or whether site visitation is influenced by relatedness. Such information is pertinent to defining population boundaries and understanding localized dispersal patterns and behaviour. Here, we use 3057 genome-wide single-nucleotide polymorphisms (SNPs) to evaluate population genetic structure and assess the levels of relatedness at aggregation sites of reef manta rays (Mobula alfredi) in southern Mozambique (n = 114). Contrary to indications of limited dispersal along the southern Mozambican coastline inferred from photo-identification and telemetry studies, our results show no evidence of population structure (non-significant F_ST < 0.001) for M. alfredi along this coast. We also found no evidence that individuals sampled at the same site were more related than expected by chance for males, females or across both sexes, suggesting that kinship may not influence visitation patterns at these sites. We estimated the effective population size (N_e) of this population to be 375 (95% CI = 369–380). Comparison to a distant eastern Indian Ocean site (Western Australia, n = 15) revealed strong genetic differentiation between Mozambique and Western Australia (F_ST = 0.377), identifying the Indian Ocean basin as a barrier to dispersal. Our findings show that genetic connectivity in M. alfredi extends for several hundred kilometres along continuous coastlines. We therefore recommend that the population in Mozambique be considered a discrete management unit, and future conservation plans should prioritize integrated strategies along the entire southern coastline.Subject terms: Conservation genomics, Structural variation     

β-galactosidase from sugar cane

β-Galactosidase activity occurs in all of the organs of the sugar cane plant, and is also of general occurrence among different cultivars and species. Most of the activity was associated with the cell wall, and only ca 12–16% was an intracellular form. Both activities posess similar optimum pH and K_itm both are activated by Mn²⁺ and ethanol, and inhibited by Hg²⁺, and both attack the same substrates.     

Task Specialization and Odor Effects on Proboscis Extension Conditioning in Bumblebees (Bombus huntii)

Workers in a social insect colony have distinct experiences that may affect their performance in a learning task. In this study using free-foraging and flight-cage bumblebee Bombus huntii colonies, the strength of olfactory proboscis extension conditioning (PEC) was affected by a bee’s task specialization as a nurse or forager and the stimulus odor. Nurses (n?=?26) learned to respond to the odors 1-hexanol and lavender, but foragers (n?=?25) had inhibited conditioning to both odors. More nurses (73 %) than foragers (48 %) had at least one conditioned response (CR), and nurses displayed significantly more CRs than foragers. As expected, a pseudoconditioned control group (n?=?9) showed very few CRs. Among bees that were given a second day of trials, nurses—but not foragers—showed modest improvement. Such strong inhibition of PEC has not been described in honeybee or bumblebee foragers. The stimulus odor also affected conditioning strength in nurses. Lavender, a familiar odor, elicited earlier and more CRs than 1-hexanol. We propose that learning floral odors in the context of foraging may inhibit PEC in bumblebee foragers, whereas exposure to odors in the honey stores may prime subsequent learning in nurses.