Histone deacetylase 3 in hippocampus contributes to memory impairment after chronic constriction injury of sciatic nerve in mice.

ABSTRACT: Chronic neuropathic pain is frequently accompanied by memory impairment, yet the underlying mechanisms remain unclear. Here, we showed that mice displayed memory impairment starting at 14 days and lasting for at least 21 days after chronic constriction injury (CCI) of unilateral sciatic nerve in mice. Systemic administration of the pan histone deacetylase (HDAC) inhibitor sodium butyrate attenuated this memory impairment. More specifically, we found that hippocampus HDAC3 was involved in this process because the levels of its mRNA and protein increased significantly in the hippocampus at 14 and 21 days after CCI, but not sham surgery. Systemic administration of the selective HDAC3 antagonist RGFP966 attenuated CCI-induced memory impairment, improved hippocampal long-term potentiation impairment, and rescued reductions of dendritic spine density and synaptic plasticity-associated protein in the hippocampus. In addition, HDAC3 overexpression in the hippocampus led to memory impairment without affecting basal nociceptive responses in naive mice. Our findings suggest that HDAC3 contributes to memory impairment after CCI by impairing synaptic plasticity in hippocampus. Histone deacetylase 3 might serve as a potential molecular target for therapeutic treatment of memory impairment under neuropathic pain conditions.

[Progress on genome sequencing of Dipteran insects].

Diptera is among the most diverse holometabolan insect orders and was the earliest order to have a genome fully sequenced. The genomes of 110 fly species have been sequenced and published and many hundreds of population- level genomes have been obtained in the model organisms Drosophila melanogaster and Anopheles gambiae. Comparative genomics elucidate many aspects of the Dipteran biology, thereby providing insights for on the variability in genome structure, genetic mechanisms, and rates and patterns of evolution in genes, species, and populations. Despite the availability of genomic resources in Diptera, there is still a significant lack of information on many other insects. The sequencing of the genomes in Dipteran insects would be of great value to exhibit multiple origins of key fly behaviors such as blood feeding, parasitism, pollination, and mycophagy. In this review, we briefly summarize the distribution and characteristics of Dipteran genomes, introduce the progress of functional genes such as Cytochrome P450, immunity, sex determination and differentiation related genes in Dipteran genome, and highlight the significant findings generated by comparative genomics approach among Dipteran species. This paper provides the guidelines and references for choosing additional taxa for genome sequencing studies in the rapidly developing genome omics era, and offers a fundamental basis for genome-based pest control and management.

Progress on the mechanism of hormones regulating plant flower formation.

Flowering is the adaptability of plants in response to the environment, which is regulated by the complex flowering control network formed by a variety of exogenous and endogenous signals. Plant hormones, the most important endogenous signal participants, play important roles in the process of plant flowering. Recent reports reveal the pivotal roles of hormones in the epigenetic regulation and flowering promotion pathway. In addition, synergistic or antagonistic interaction has been observed among many hormones. Numerous hormones have been found to be involved in the regulation of the multiple flowering development regulation and signaling pathways mediated by DELLA protein in the gibberellin (GA) pathway. In this review, we summarize the recent advances ofthe flowering mechanisms related to GA pathway and discuss the effects of abscisic acid (ABA), auxin (IAA), cytokinin (CTK), salicylic acid (SA), jasmonic acid (JA), and ethylene (ET) on flowering, including their cross-regulation with DELLA, miRNAs, and transcription factor (TFs). This review provides a reference for further comprehensive analysis of the hormone-regulated network of plant flower formation.

[Advance in insect phototaxis and the development and application of colored sticky boards]. / æ˜†è™«è¶‹è‰²æ€§åŠè¯±è™«è‰²æ¿çš„ç ”ç©¶å’Œåº”ç”¨è¿›å±•.

The visual communication between insect and plant is one of the key sensory signal channels for the survival, reproduction and defense of insects. The colored sticky boards, which are developed based on insects positive phototaxis and as one of the effective green pest control measures, have been widely applied for monitoring, forecasting and mass-trapping of many diurnal agricultural and forestry insect pests. In addition, they could be used to attract beneficial insects to the target areas to prey on or parasitize harmful insects, and to aid in pollination. Here, we discussed the insect phototaxis theory and the "attract and kill" mechanism of colored sticky boards and reviewed the effects of color, shape, size, height, density, facing direction, working duration of the sticky boards, as well as plant morphological characters and insect physiological status on trapping efficacy. We summarized various application techniques of the color sticky boards on different target pest insects in tea plantations, vegetable fields and greenhouses, etc. We analyzed various application technologies of combining colored sticky boards with synthetic sex pheromone attractants and/or botanical attractants and their efficacy; then evaluated the pros and cons of using the colored sticky boards for pest control or monitoring. Accordingly, we provided suggestions for improvements and discussed the trapping efficacy assessment and cost-benefit analysis. Finally, we proposed the RD directions of next generation colored sticky boards, especially its combination with synthetic pheromones/kairomones as an important integrated pest management (IPM) measure, and the future of the colored sticky board industry.

Research progress on the underlying mechanisms of plant defense enzymes in response to pest stress.

Plants respond to herbivory through a series of physiological and biochemical defense mechanisms to counter the stress of herbivorous pests, including the dramatic changes in activities of various defense enzymes. Here, we reviewed the recent research progress on the response mechanisms of six common plant defense enzymes, SOD, CAT, POD, PPO, LOX and PAL, to insect stress, and compared their similarities and disparities. We sorted out their interactive sequences in response to the insect stress and analyzed the changes of defense enzyme activities and their associations with defense enzyme genes after being attacked by pests. Finally, we discussed the key problems/challenges in this area and proposed the prospects for studying the mechanisms of plant defense enzymes.

Mitochondrial COI and 16sRNA evidence for a single species hypothesis of E. vitis, J. formosana and E. onukii in East Asia.

Tea green leafhopper is one of the most damaging tea pests in main tea production regions of East Asia. For lack of recognized morphological characters, the dominant species of tea green leafhoppers in Mainland China, Taiwan and Japan have always been named as Empoasca vitis Göthe, Jacobiasca formosana Paoli and Empoasca onukii MATSUDA, respectively. Furthermore, nothing is known about the genetic relationships among them. In this study, we collected six populations from Mainland China, four populations from Japan and one population from Taiwan, and examined the genetic distances in the COI and 16sRNA regions of mtDNA among them. The results showed that the genetic distances based on single gene or the combined sequences among eleven leafhopper populations were 0.3-1.2%, which were all less than the species boundary of 2%. Moreover, there were at least two haplotypes shared by two distinct populations from different regions. The phylogenetic analysis based on single gene or combined sets also supported that tea green leafhoppers from Mainland China, Taiwan and Japan were closely related to each other, and there were at least two specimens from different regions clustered ahead of those from the same region. Therefore, we propose that the view of recognizing the dominant species of tea green leafhoppers in three adjacent tea production regions of East Asia as different species is unreliable or questionable and suggest that they are a single species.

Probing behavior of Empoasca vitis (Homoptera: Cicadellidae) on resistant and susceptible cultivars of tea plants.

Feeding activities of the tea green leafhopper, Empoasca vitis (Gothe) (Homoptera: Cicadellidae), on resistant and susceptible cultivars of tea plants (Camellia sinensis L.) were recorded and analyzed using the direct current electrical penetration graph (EPG) system. Six distinct EPG waveforms characterizing the feeding behavior of the tea green leafhopper, categorized as waveforms A, C, E, S, F, and R, were obtained during the investigation. Duration of passive ingestion, possibly of phloem (E), was the longest among all the probing waveforms on susceptible cultivars, whereas durations of the salivation (S) waveform and stylet work waveform (F) became longer on resistant cultivars. The durations of waveforms S and F on the resistant cultivar Jiandecha were slightly longer than those on the less resistant cultivar Yunguidaye, and both were significantly longer than those on the susceptible cultivars Hangzhoudaye and Zhushan-1. Waveform E was shorter on the resistant cultivar Jiandecha than on the less resistant cultivars Yunguidaye and was significantly shorter than on the susceptible cultivars (Hangzhoudaye and Zhushan-1). It is suggested that E, S, and F are the important waveforms related to leafhopper feeding behavior and tea plant resistance. Based on the results, the resistance levels of tea cultivars against the tea leafhopper can be evaluated quickly by direct current EPG.

Electroantennogram responses of the tea slug moth, Iragoides fasciata to some plant volatiles associated with tea, Camellia sinensis.

Electroantennogram responses to a wide range of plant volatile compounds that have been identified in tea plants Camellia sinensis L. (Ericales: Theaceae) were recorded from males and females of the tea slug moth, Iragoides fasciata Moore (Lepidoptera: Limacodidae). The responses to 26 compounds, belonging to several chemical classes, and two mixtures were evaluated. The results showed significantly different electroantennogram responses to the different chemicals, as well as significantly different responses according to gender. The green leaf volatile components elicited significantly greater responses in males. In general, the antennae of males were more sensitive, and responded more strongly, to most of the compounds. Responses to sesquiterpenoids were lower in both males and females. Dose-dependent response studies indicated differences in response between genders and concentrations, suggesting the existence of sexual dimorphism. Compounds belonging to the green leaf volatiles class appeared to be important clues in host-plant selection by this oligophagous species.

[Studies on ANN models of determination of tea polyphenol and amylose in tea by near-infrared spectroscopy].

The objectives of the present paper were to build the models for the determination of tea polyphenol (TP) and tea amylose (TA) in tea by near-infrared spectroscopy (NIR). According to the range of 7432.3-6155.7 cm(-1) and 5484.6-4192.5 cm(-1) of NIR spectra, the models are built for determining the contents of TP and TA in tea with the input layer, hidden layer and node ((8, 4, 1) and (7, 5, 1) respectively) in network structure by the artificial neural network. The correlation coefficient (r), the root mean square error of cross validation (RMSECV) and the root mean square error of prediction (RMSEP) were selected as the indexes for evaluating the performance of calibration models. The results show that r, RMSECV and RSECV by the model samples for TP and TA are 0.9847, 0.460 and 0.123, and 0.9470, 0.136 and 0.224 respectively, and r, RMSEP and RSEP by the prediction samples for TP and TA are 0.9804, 0.529 and 0.017, and 0.9682, 0.111 and 0.0298 respectively. These indicated that the NIRANN models can be used to determine the contents of TP and TA in tea.