The role of wax and resin in the nestmate recognition system of a stingless bee, Tetragonisca angustula

Recent research has shown that entrance guards of the stingless bee Tetragonisca angustula make less errors in distinguishing nestmates from non-nestmates than all other bee species studied to date, but how they achieve this is unknown. We performed four experiments to investigate nestmate recognition by entrance guards in T. angustula. We first investigated the effect of colony odours on acceptance. Nestmates that acquired odour from non-nestmate workers were 63% more likely to be rejected while the acceptance rate of non-nestmates treated with nestmate odour increased by only 7%. We further hypothesised that guards standing on the wax entrance tube might use the tube as an odour referent. However, our findings showed that there was no difference in the acceptance of non-nestmates by guards standing on their own colony’s entrance tube versus the non-nestmate’s entrance tube. Moreover, treatment of bees with nestmate and non-nestmate resin or wax had a negative effect on acceptance rates of up to 65%, regardless of the origin of the wax or resin. The role of resin as a source of recognition cues was further investigated by unidirectionally transferring resin stores between colonies. Acceptance rates of nestmates declined by 37% for hives that donated resin, contrasting with resin donor hives where acceptance of non-nestmates increased by 21%. Overall, our results confirm the accuracy of nestmate recognition in T. angustula and reject the hypothesis that this high level of accuracy is due to the use of the wax entrance tubes as a referent for colony odour. Our findings also suggest that odours directly acquired from resin serve no primary function as nestmate recognition cues. The lack of consistency among colonies plus the complex results of the third and fourth experiments highlight the need for further research on the role of nest materials and cuticular profiles in understanding nestmate recognition in T. angustula.     

The benefits and limitations of cell-free DNA screening for 22q11.2 deletion syndrome

Cell-free DNA testing is increasingly being used to screen pregnant women for fetal aneuploidy. This technology may also identify microdeletion syndromes, including 22q11.2 deletion syndrome, the most common microdeletion syndrome, and the 22q11.2 duplication syndrome. The purpose of this paper is to provide an overview of the 22q11.2 deletion syndrome, to review the early experience with cell-free DNA screening for this deletion and to consider the potential benefits that may be associated with prenatal detection of the deletion. © 2016 John Wiley & Sons, Ltd.     

Laser therapy for twin-to-twin transfusion syndrome (TTTS)

Monochorionic twins are subjected to specific complications which originate in either imbalance or abnormality of the single placenta serving two twins including twin-to-twin transfusion syndrome. The diagnosis is well established in overt clinical forms with the association of polyuric polyhydramnios and oliguric oligohydramnios. The best treatment of cases presenting before 26 weeks of gestion is fetoscopic laser ablation of the intertwin anastomoses on the chorionic plate. Although subjected to subtle variations, the core technique follows robust guidelines which could help understanding and acquiring the required skills and experience to perform this procedure. However appropriate and tailored hands-on training and appropriate perinatal set-up are critical not only for surgical management but also for the follow-up and management of related complications. Copyright © 2011 John Wiley & Sons, Ltd.     

Bioconcentration of butyltin compounds by round crucian carp

Bioconcentration factors (BCF) by round crucian carp and partition coefficients between n‐octanol and water (Pow) were measured for dibutyltin, tributyltin and triphenyltin compounds. Pow was 0.97–3.66 for 7 organotin compounds. BCF of tributyltin and triphenyltin compounds was 1.70–2.77 for muscle, 1.70–2.66 for vertebra, 2.05–3.70 for liver and 1.49–3.50 for kidney.