Genomics, transcriptomics, and peptidomics of Spodoptera frugiperda (Lepidoptera, Noctuidae) neuropeptides.

Neuropeptides control many physiological and behavioral processes, and so they are functionally important classes of cell-to-cell signaling molecules. Nowadays, the fall armyworm, Spodoptera frugiperda, is one of the most destructive agricultural pests in the world. In this study, we mined the publicly accessible genome assembly data for S. frugiperda, and the transcriptomic and proteomic data of the larval central nervous system (CNS) for putative neuropeptide-encoding, and subsequently we used these to anticipate a peptidome for this species. In essence, we could identify 57 orthologs of insect neuropeptides, including Allatotropin, CCHamide, Corazonin, pheromone biosynthesis activating neuropeptide, short neuropeptide F, Trissin, and Natalisin. Interesting features for S. frugiperda were the absence of genes coding for CNMamide, Elevein, and the differential evolution of ancestral neuropeptide genes such as adipokinetic corazonin-related peptide, adipokinetic hormone, Tachykinin, and Natalisin. In conclusion, our study provides the most complete neuropeptide description for the important pest S. frugiperda as a foundation to study the factors regulating insect growth, reproduction, and behavior. Second, we confirm that a comprehensive multi-omics analysis is necessary for the identification of neuropeptides. Finally, our data provide a reliable reference for other comparative studies in other insects beyond the supermodel insect of Drosophila melanogaster and the finding of potential candidates as selective for pests versus beneficial insects.

Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy.

OBJECTIVE: Esophagogastroduodenoscopy (EGD) is the pivotal procedure in the diagnosis of upper gastrointestinal lesions. However, there are significant variations in EGD performance among endoscopists, impairing the discovery rate of gastric cancers and precursor lesions. The aim of this study was to construct a real-time quality improving system, WISENSE, to monitor blind spots, time the procedure and automatically generate photodocumentation during EGD and thus raise the quality of everyday endoscopy. DESIGN: WISENSE system was developed using the methods of deep convolutional neural networks and deep reinforcement learning. Patients referred because of health examination, symptoms, surveillance were recruited from Renmin hospital of Wuhan University. Enrolled patients were randomly assigned to groups that underwent EGD with or without the assistance of WISENSE. The primary end point was to ascertain if there was a difference in the rate of blind spots between WISENSE-assisted group and the control group. RESULTS: WISENSE monitored blind spots with an accuracy of 90.40% in real EGD videos. A total of 324 patients were recruited and randomised. 153 and 150 patients were analysed in the WISENSE and control group, respectively. Blind spot rate was lower in WISENSE group compared with the control (5.86% vs 22.46%, p<0.001), and the mean difference was -15.39% (95% CI -19.23 to -11.54). There was no significant adverse event. CONCLUSIONS: WISENSE significantly reduced blind spot rate of EGD procedure and could be used to improve the quality of everyday endoscopy. TRIAL REGISTRATION NUMBER: ChiCTR1800014809; Results.

Development of Spodoptera exigua Population: Does the Nutritional Status Matter?

Spodoptera exigua (Hübner) is a common agricultural pest that can harm hundreds of crops. Nutrition conditions can significantly affect the development of insects, especially carbohydrates (C) and proteins (P), which are the two most critical nutrients. To study the development of the S. exigua population under different carbohydrate and protein nutrition conditions, we constructed a life table of both sexes of an S. exigua population under three artificial diets: high nitrogen (P:C = 7:1), medium nitrogen, medium sugar (P:C = 1:1), and high sugar (P:C = 1:7). The results showed that the generation time of S. exigua was 26.38 ± 0.54 d under the medium nitrogen-medium sugar diet, which was the shortest among the three nutrition conditions. The intrinsic rate of increase (0.18 ± 0.01), finite rate of increase (1.20 ± 0.01), fecundity (605.42 ± 36.33 eggs/female), and predicted population at 100 days (8,840,000) were significantly higher under the medium nitrogen-medium sugar condition. There was no significant difference in the net reproductive rate among the three conditions. These results suggested that an appropriate protein:carbohydrate ratio is beneficial to the rapid development of S. exigua on farmland. These findings are important for scientifically predicting the population dynamics of S. exigua from the perspective of nutritional ecology, understanding its catastrophic mechanism, and constructing a prevention and control system.

CRISPR/Cas9 in lepidopteran insects: Progress, application and prospects.

Clustered regularly spaced short palindrome repeats (CRISPR) structure family forms the acquired immune system in bacteria and archaea. Recent advances in CRISPR/Cas genome editing as derived from prokaryotes, confirmed the characteristics of robustness, high target specificity and programmability, and also revolutionized the insect sciences field. The successful application of CRISPR in a wide variety of lepidopteran insects, with a high genetic diversity, provided opportunities to explore gene functions, insect modification and pest control. In this review, we present a detailed overview on the recent progress of CRISPR in lepidopteran insects, and described the basic principles of the system and its application. Major interest is on wing development, pigmentation, mating, reproduction, sex determination, metamorphosis, resistance and silkworm breeding innovation. Finally, we outlined the limitations of CRISPR/Cas system and discussed its application prospects in lepidopteran insects.

Genome-wide identification of neuropeptides and their receptor genes in Bemisia tabaci and their transcript accumulation change in response to temperature stresses.

Insect neuropeptides play an important role in regulating physiological functions such as growth, development, behavior and reproduction. We identified temperature-sensitive neuropeptides and receptor genes of the cotton whitefly, Bemisia tabaci. We identified 38 neuropeptide precursor genes and 35 neuropeptide receptors and constructed a phylogenetic tree using additional data from other insects. As temperature adaptability enables B. tabaci to colonize a diversity of habitats, we performed quantitative polymerase chain reaction with two temperature stresses (low = 4 °C and high = 40 °C) to screen for temperature-sensitive neuropeptides. We found many neuropeptides and receptors that may be involved in the temperature adaptability of B. tabaci. This study is the first to identify B. tabaci neuropeptides and their receptors, and it will help to reveal the roles of neuropeptides in temperature adaptation of B. tabaci.

CCHamide2-receptor regulates feeding behavior in the pea aphid, Acyrthosiphon pisum.

Neuropeptide CCHamide-2 is a recently discovered peptide presents in many arthropods and it is the ligand of the CCHamide-2 receptor (CCHa2-R), which is playing a regulatory role in diverse physiological processes, such as feeding, insulin production, lipid metabolism, growth and reproduction, however, the function of this gene in aphids is still unknown. Here, we characterized and determined the presumed role of CCHa2-R signaling in the wingless pea aphid, Acyrthosiphon pisum. Quantitative real-time reverse transcription-PCR (qRT-PCR) revealed the expression levels of CCHa2-R transcripts in different development stages and different tissues, which indicates that the CCHa2-R expression was high in the first instar as compared to the upcoming nymphal instars and adult and was predominantly high in the brain. The CCHa2-R transcript levels were significantly up-regulated in starved aphids as compared to fed aphids. Moreover, RNAi knockdown by the injection of dsRNA-CCHa2-R significantly reduced the expression and also reduced their food intake in adult aphids, as revealed by electrical penetration graphs (EPGs) results. CCHa2-R-silencing was also shown to reduce reproduction but not survival in A. pisum. These observations suggest a role for the CCHa2-R pathway in the response of wingless parthenogenetic aphids to their nutritional status, and this role involves the regulation of the expression of CCHa2-R. Overall, the results of these experiments indicate that CCHa2-R plays a dominant role in the regulation of feeding in A. pisum.