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Nuptial feeding is widespread in insects, with many species showing one form of feeding. In the wood cricket Nemobius sylvestris, the male may provide multiple forms of feeding during an encounter: two kinds of edible spermatophores (microspermatophore and macrospermatophore) and forewing secretions. We examined the roles and interactions of the spermatophores and forewing exposure in the mating sequence of this species. The small microspermatophore was not found to contain sperm, whereas the larger macrospermatophore contained sperm. In mating trials, the microspermatophore may be transferred to the female early in the trial. Transfer of the microspermatophore was not a necessary prerequisite to the subsequent transfer of one or more sperm-filled macrospermatophores. Forewing exposure increased male mating success, as males with exposed forewings were more successful in transferring the macrospermatophore than males with experimentally covered forewings, both in terms of occurrence of successful transfer and the number of macrospermatophores transferred. Male mating success was very low when the male’s forewings were covered and when the male did not transfer a microspermatophore. The sperm-filled macrospermatophore may have nutritional value, as females eventually consumed all transferred macrospermatophores, and males consumed all rejected macrospermatophores. Somewhat unexpectedly, this study casts doubt on the role of the forewings in nuptial feeding. Although males with exposed forewings were more successful in macrospermatophore transfer, females actually palpated these males’ forewings less. We posit the alternative hypothesis that the forewing secretions play a role in chemical communication to the female (e.g., signaling male quality), possibly instead of female nourishment. [ABSTRACT FROM AUTHOR]

Background: Evolution of novelty is a central theme in evolutionary biology, yet studying the origins of traits with an apparently discontinuous origin remains a major challenge. Venom systems are a well-suited model for the study of this phenomenon because they capture several aspects of novelty across multiple levels of biological complexity. However, while there is some knowledge on the evolution of individual toxins, not much is known about the evolution of venom systems as a whole. One way of shedding light on the evolution of new traits is to investigate less specialised serial homologues, i.e. repeated traits in an organism that share a developmental origin. This approach can be particularly informative in animals with repetitive body segments, such as centipedes. Results: Here, we investigate morphological and biochemical aspects of the defensive telopodal glandular organs borne on the posterior legs of venomous stone centipedes (Lithobiomorpha), using a multimethod approach, including behavioural observations, comparative morphology, proteomics, comparative transcriptomics and molecular phylogenetics. We show that the anterior venom system and posterior telopodal defence system are functionally convergent serial homologues, where one (telopodal defence) represents a model for the putative early evolutionary state of the other (venom). Venom glands and telopodal glandular organs appear to have evolved from the same type of epidermal gland (four-cell recto-canal type) and while the telopodal defensive secretion shares a great degree of compositional overlap with centipede venoms in general, these similarities arose predominantly through convergent recruitment of distantly related toxin-like components. Both systems are composed of elements predisposed to functional innovation across levels of biological complexity that range from proteins to glands, demonstrating clear parallels between molecular and morphological traits in the properties that facilitate the evolution of novelty. Conclusions: The evolution of the lithobiomorph telopodal defence system provides indirect empirical support for the plausibility of the hypothesised evolutionary origin of the centipede venom system, which occurred through functional innovation and gradual specialisation of existing epidermal glands. Our results thus exemplify how continuous transformation and functional innovation can drive the apparent discontinuous emergence of novelties on higher levels of biological complexity. [ABSTRACT FROM AUTHOR]

Examines the mating system in the long-finned squid Loligo pealei in relation to the effects of overfishing mainly in spawning grounds. What hypothesis has been derived in relation to the mating system of the squid; Highlights of behavioral studies being conducted on the squid.

Bivalency is a prevalent natural mechanism to enhance receptor avidity. Various two‐domain disulfide‐rich peptides exhibiting bivalent action have been identified from animal venoms. A unique characteristic of these peptides is that they induce a pharmacological response different from that provoked by any of the constituent domains. The enhanced potency and avidity of such peptides is therefore a consequence of their domain fusion by a peptide linker. The role of the linker itself, beyond conjugation, remains unclear. Here, we investigate how the linker affects the bivalency of the capsaicin receptor (TRPV1) agonist DkTx. We recombinantly produced isotope labelled DkTx using a protein splicing approach, to solve the high‐resolution solution structure of DkTx, revealing residual linker order stabilised by linker‐domain interactions leading to biased domain orientations. The significance of this was studied using a combination of mutagenesis, spin relaxation studies and electrophysiology measurements. Our results reveal that disrupting the pre‐organisation of the domains of DkTx is accompanied by reductions in potency and onset of avidity. Our findings support a model of pre‐configured two‐domain binding, in favour of the previously suggested sequential binding model. This highlights the significance of ordered elements in linker design and the natural evolution of these in bivalent toxins. [ABSTRACT FROM AUTHOR]

The paramagnetism of a lanthanoid tag site-specifically installed on a protein provides a rich source of structural information accessible by nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR) spectroscopy. Here we report a lanthanoid tag for selective reaction with cysteine or selenocysteine with formation of a (seleno)thioether bond and a short tether between the lanthanoid ion and the protein backbone. The tag is assembled on the protein in three steps, comprising (i) reaction with 4-fluoro-2,6-dicyanopyridine (FDCP); (ii) reaction of the cyano groups with α -cysteine, penicillamine or β -cysteine to complete the lanthanoid chelating moiety; and (iii) titration with a lanthanoid ion. FDCP reacts much faster with selenocysteine than cysteine, opening a route for selective tagging in the presence of solvent-exposed cysteine residues. Loaded with Tb3+ and Tm3+ ions, pseudocontact shifts were observed in protein NMR spectra, confirming that the tag delivers good immobilisation of the lanthanoid ion relative to the protein, which was also manifested in residual dipolar couplings. Completion of the tag with different 1,2-aminothiol compounds resulted in different magnetic susceptibility tensors. In addition, the tag proved suitable for measuring distance distributions in double electron–electron resonance experiments after titration with Gd3+ ions. [ABSTRACT FROM AUTHOR]

OBJECTIVE Diabetic peripheral neuropathy (DPN) has hitherto been considered a disease of the peripheral nervous system only, with central nervous system (CNS) involvement largely overlooked. The aim of this study was to investigate any differences in brain structure in subjects with DPN. RESEARCH DESIGN AND METHODS Thirty-six subjects with type 1 diabetes (No DPN [n = 18], Painful DPN [n =9], Painless DPN [n = 9]) underwent neurophysiological assessment to quantify the severity of DPN. All subjects, including 18 healthy volunteers (HVs), underwent volumetric brain magnetic resonance imaging at 3 Tesla. RESULTS Adjusted peripheral gray matter volume was statistically significantly lower in subjects with painless and painful DPN (mean 599.6 mL [SEM 9.8 mL] and 585.4 mL [10.0 mL], respectively) compared with those with No DPN (626.5 mL [5.7 mL]) and HVs (639.9 mL [7.2 mL]; ANCOVA, P = 0. 001) . The difference in adjusted peripheral gray matter volume between subjects with No DPN and HVs and those with Painful DPN and Painless DPN was not statistically significant (P = 0.16 and 0.30, respectively). Voxel-based morphometry analyses revealed greater localized volume loss in the primary somatosensory cortex, supramarginal gyrus, and cingulate cortex (corrected P < 0.05) in DPN subjects. CONCLUSIONS This is the first study to focus on structural changes in the brain associated with DPN. Our findings suggest increased peripheral gray matter volume loss, localized to regions involved with somatosensory perception in subjects with DPN. This may have important implications for the long-term prognosis of DPN. [ABSTRACT FROM AUTHOR]

Digital pathology platforms with integrated artificial intelligence have the potential to increase the efficiency of the nonclinical pathologist's workflow through screening and prioritizing slides with lesions and highlighting areas with specific lesions for review. Herein, we describe the comparison of various single- and multi-magnification convolutional neural network (CNN) architectures to accelerate the detection of lesions in tissues. Different models were evaluated for defining performance characteristics and efficiency in accurately identifying lesions in 5 key rat organs (liver, kidney, heart, lung, and brain). Cohorts for liver and kidney were collected from TG-GATEs open-source repository, and heart, lung, and brain from internally selected R&D studies. Annotations were performed, and models were trained on each of the available lesion classes in the available organs. Various class-consolidation approaches were evaluated from generalized lesion detection to individual lesion detections. The relationship between the amount of annotated lesions and the precision/accuracy of model performance is elucidated. The utility of multi-magnification CNN implementations in specific tissue subtypes is also demonstrated. The use of these CNN-based models offers users the ability to apply generalized lesion detection to whole-slide images, with the potential to generate novel quantitative data that would not be possible with conventional image analysis techniques. [ABSTRACT FROM AUTHOR]