SGCLDGA: unveiling drug-gene associations through simple graph contrastive learning.

Drug repurposing offers a viable strategy for discovering new drugs and therapeutic targets through the analysis of drug-gene interactions. However, traditional experimental methods are plagued by their costliness and inefficiency. Despite graph convolutional network (GCN)-based models' state-of-the-art performance in prediction, their reliance on supervised learning makes them vulnerable to data sparsity, a common challenge in drug discovery, further complicating model development. In this study, we propose SGCLDGA, a novel computational model leveraging graph neural networks and contrastive learning to predict unknown drug-gene associations. SGCLDGA employs GCNs to extract vector representations of drugs and genes from the original bipartite graph. Subsequently, singular value decomposition (SVD) is employed to enhance the graph and generate multiple views. The model performs contrastive learning across these views, optimizing vector representations through a contrastive loss function to better distinguish positive and negative samples. The final step involves utilizing inner product calculations to determine association scores between drugs and genes. Experimental results on the DGIdb4.0 dataset demonstrate SGCLDGA's superior performance compared with six state-of-the-art methods. Ablation studies and case analyses validate the significance of contrastive learning and SVD, highlighting SGCLDGA's potential in discovering new drug-gene associations. The code and dataset for SGCLDGA are freely available at https://github.com/one-melon/SGCLDGA.

Large-scale predicting protein functions through heterogeneous feature fusion.

As the volume of protein sequence and structure data grows rapidly, the functions of the overwhelming majority of proteins cannot be experimentally determined. Automated annotation of protein function at a large scale is becoming increasingly important. Existing computational prediction methods are typically based on expanding the relatively small number of experimentally determined functions to large collections of proteins with various clues, including sequence homology, protein-protein interaction, gene co-expression, etc. Although there has been some progress in protein function prediction in recent years, the development of accurate and reliable solutions still has a long way to go. Here we exploit AlphaFold predicted three-dimensional structural information, together with other non-structural clues, to develop a large-scale approach termed PredGO to annotate Gene Ontology (GO) functions for proteins. We use a pre-trained language model, geometric vector perceptrons and attention mechanisms to extract heterogeneous features of proteins and fuse these features for function prediction. The computational results demonstrate that the proposed method outperforms other state-of-the-art approaches for predicting GO functions of proteins in terms of both coverage and accuracy. The improvement of coverage is because the number of structures predicted by AlphaFold is greatly increased, and on the other hand, PredGO can extensively use non-structural information for functional prediction. Moreover, we show that over 205 000 ($\sim $100%) entries in UniProt for human are annotated by PredGO, over 186 000 ($\sim $90%) of which are based on predicted structure. The webserver and database are available at http://predgo.denglab.org/.

RNA methylation-related genes INHBB and SOWAHA are associated with MSI status in colorectal cancer patients and may serve as prognostic markers for predicting immunotherapy efficacy.

The role of RNA methylation is vital in the advancement and spread of tumors. However, its exact role in microsatellite instability in colorectal cancer (CRC) is still not fully understood. To address this gap in knowledge, this study investigated the impact of genes associated with RNA methylation on the prognosis and response to immunotherapy in individuals diagnosed with low microsatellite instability (MSI-L) or microsatellite stable (MSS) CRC. The differentially expressed genes (DEGs) in two groups of patients: those with high microsatellite instability (MSI-H) and those with MSI-L/MSS was thoroughly investigated and compared with aims of exploring the association between them and the 60 RNA methylation regulators. We employed these genes and developed an MSI-RMscore to establish a risk signature capable of forecasting patient outcomes. Furthermore, an investigation of the immunophenotypic traits was conducted encompassing patients categorized as high-risk and low-risk. By combining the MSI-RMscore and clinicopathological features, a predictive nomogram was developed, which was subsequently validated using the GEO database. Furthermore, immunohistochemistry was employed to establish the correlation between INHBB and SOWAHA and the MSI status, as well as patient prognosis. Our findings indicated that the high-risk subgroup exhibited unfavorable overall survival rates, reduced responsiveness to immune checkpoint blockers, elevated estimate scores, and increased infiltration of macrophages and fibroblasts. We also confirmed that INHBB and SOWAHA were associated with CRC patient prognosis and MSI status, as well as immunotherapy response. These findings suggest that targeting INHBB and SOWAHA could be a promising strategy to enhance patient responsiveness to immunotherapy.

Prevotella copri transplantation promotes neurorehabilitation in a mouse model of traumatic brain injury.

BACKGROUND: The gut microbiota plays a critical role in regulating brain function through the microbiome-gut-brain axis (MGBA). Dysbiosis of the gut microbiota is associated with neurological impairment in Traumatic brain injury (TBI) patients. Our previous study found that TBI results in a decrease in the abundance of Prevotella copri (P. copri). P. copri has been shown to have antioxidant effects in various diseases. Meanwhile, guanosine (GUO) is a metabolite of intestinal microbiota that can alleviate oxidative stress after TBI by activating the PI3K/Akt pathway. In this study, we investigated the effect of P. copri transplantation on TBI and its relationship with GUO-PI3K/Akt pathway. METHODS: In this study, a controlled cortical impact (CCI) model was used to induce TBI in adult male C57BL/6J mice. Subsequently, P. copri was transplanted by intragastric gavage for 7 consecutive days. To investigate the effect of the GUO-PI3K/Akt pathway in P. copri transplantation therapy, guanosine (GUO) was administered 2 h after TBI for 7 consecutive days, and PI3K inhibitor (LY294002) was administered 30 min before TBI. Various techniques were used to assess the effects of these interventions, including quantitative PCR, neurological behavior tests, metabolite analysis, ELISA, Western blot analysis, immunofluorescence, Evans blue assays, transmission electron microscopy, FITC-dextran permeability assay, gastrointestinal transit assessment, and 16 S rDNA sequencing. RESULTS: P. copri abundance was significantly reduced after TBI. P. copri transplantation alleviated motor and cognitive deficits tested by the NSS, Morris's water maze and open field test. P. copri transplantation attenuated oxidative stress and blood-brain barrier damage and reduced neuronal apoptosis after TBI. In addition, P. copri transplantation resulted in the reshaping of the intestinal flora, improved gastrointestinal motility and intestinal permeability. Metabolomics and ELISA analysis revealed a significant increase in GUO levels in feces, serum and injured brain after P. copri transplantation. Furthermore, the expression of p-PI3K and p-Akt was found to be increased after P. copri transplantation and GUO treatment. Notably, PI3K inhibitor LY294002 treatment attenuated the observed improvements. CONCLUSIONS: We demonstrate for the first time that P. copri transplantation can improve GI functions and alter gut microbiota dysbiosis after TBI. Additionally, P. copri transplantation can ameliorate neurological deficits, possibly via the GUO-PI3K/Akt signaling pathway after TBI.

DeepCoVDR: deep transfer learning with graph transformer and cross-attention for predicting COVID-19 drug response.

MOTIVATION: The coronavirus disease 2019 (COVID-19) remains a global public health emergency. Although people, especially those with underlying health conditions, could benefit from several approved COVID-19 therapeutics, the development of effective antiviral COVID-19 drugs is still a very urgent problem. Accurate and robust drug response prediction to a new chemical compound is critical for discovering safe and effective COVID-19 therapeutics. RESULTS: In this study, we propose DeepCoVDR, a novel COVID-19 drug response prediction method based on deep transfer learning with graph transformer and cross-attention. First, we adopt a graph transformer and feed-forward neural network to mine the drug and cell line information. Then, we use a cross-attention module that calculates the interaction between the drug and cell line. After that, DeepCoVDR combines drug and cell line representation and their interaction features to predict drug response. To solve the problem of SARS-CoV-2 data scarcity, we apply transfer learning and use the SARS-CoV-2 dataset to fine-tune the model pretrained on the cancer dataset. The experiments of regression and classification show that DeepCoVDR outperforms baseline methods. We also evaluate DeepCoVDR on the cancer dataset, and the results indicate that our approach has high performance compared with other state-of-the-art methods. Moreover, we use DeepCoVDR to predict COVID-19 drugs from FDA-approved drugs and demonstrate the effectiveness of DeepCoVDR in identifying novel COVID-19 drugs. AVAILABILITY AND IMPLEMENTATION: https://github.com/Hhhzj-7/DeepCoVDR.

A real-world study of the effectiveness and safety of apatinib-based regimens in metastatic triple-negative breast cancer.

PURPOSE: This investigation sought to examine the efficacy and safety of low-dose apatinib used alongside chemotherapy in the clinical management of patients with metastatic triple-negative breast cancer (TNBC) within a real-world setting, whilst comparing the outcomes with those treated solely with chemotherapy. METHODS: This case series study analyzed clinical data and treatment outcomes of 163 patients with metastatic TNBC who underwent rescue treatment at the Medical Oncology Department of Clinical Oncology, Fujian Cancer Hospital, School of Fujian Medical University, China, between October 2011 and January 2023. All the patients underwent rescue treatment with either chemotherapy alone or apatinib (250 mg/day) combined with chemotherapy. The study's primary outcome was progression-free survival (PFS), whereas the secondary outcomes included overall survival (OS), objective response rate (ORR), disease control rate (DCR), and safety profiles. RESULTS: The study was designed to compare two groups [1]. Out of the 163 TNBC patients who participated in the study, 107 individuals (65.6%) received treatment based on chemotherapy, whereas 56 patients (34.4%) were given treatment based on a combination of low-dose apatinib (250 mg/day) and other treatments, including chemotherapy. After propensity score matching (PSM), the objective response rate (ORR) and disease control rate (DCR) of patients with advanced triple-negative breast cancer (TNBC) who received apatinib-based treatment were 50.0 and 90.0%, respectively, while they were 6.7 and 20.0%, respectively, for the chemotherapy-based group (P < 0.001). The group that received apatinib-based treatment showed superior results in both PFS and OS compared to the group that received chemotherapy. The median PFS and OS for the apatinib-based group were 7.8 and 20.3 months, respectively, while they were only 2.2 months and 9.0 months, respectively, for the chemotherapy-based group (P < 0.001) [2]. Patients who were administered combo therapies, including PD-1 inhibitors, were excluded. In total, 97 patients received chemotherapy alone, while 34 patients were treated with apatinib in combination with chemotherapy. After propensity score matching (PSM), the ORR and DCR for the total group who received combo therapies were 44.4 and 81.5%, respectively, while they were 11.1 and 22.2%, respectively, for the chemotherapy alone group (P < 0.001). The group receiving both apatinib and chemotherapy displayed notable advantages over the group solely receiving chemotherapy in regards to PFS and OS for the entirety of the population. The PFS was found to be 7.8 months in comparison to 2.1 months (P < 0.001) and the OS was 21.1 months in contrast to 9.0 months (P < 0.001). Apatinib combined with chemotherapy induced grade 3/4 hematological toxicities, including neutropenia (8.8%) and thrombocytopenia (2.9%). Additionally, non-hematological toxicities were commonly observed, such as Hand-foot syndrome (35.3%), proteinuria (26.5%), hypertension (61.8%), higher alanine aminotransferase levels (26.5%), and fatigue (35.3%). The most frequent non-hematological grade 3/4 toxicities were Hand-foot syndrome (2.9%) and hypertension (5.9%). The study did not report any fatal adverse effects. CONCLUSIONS: The combination of low-dose apatinib with chemotherapy has proven to be more effective than chemotherapy alone in treating metastatic triple-negative breast cancer (TNBC). Additionally, the occurrence of grade 3/4 non-hematologic toxicities was significantly lower compared to the recommended dose of apatinib.

The intestine microbiota of shrimp and its impact on cultivation.

Intestinal microbiome contains several times of functional genes compared to the host and mediates the generation of multiple metabolic products, and therefore it is called "second genome" for host. Crustaceans rank second among the largest subphylum of aquaculture animals that are considered potentially satisfy global substantial food and nutrition security, among which the Pacific white shrimp (Litopenaeus vannamei) ranks the first in the production. Currently, increasing evidences show that outbreaks of some most devastating diseases in shrimp, including white feces syndrome (WFS) and acute hepatopancreatic necrosis disease (AHPND), are related to intestinal microbiota dysbiosis. Importantly, the intestine microbial composition can be altered by environmental stress, diet, and age. In this review, we overview the progress of intestinal microbiota dysbiosis and WFS or ANPHD in shrimp, and how the microbial composition is altered by external factors. Hence, developing suitable microbial micro-ecological prevention and control strategy to maintain intestinal balance may be a feasible solution to reduce the risk of disease outbreaks. Moreover, we highlight that defining the "healthy intestine microbiota" and evaluating the causality of intestinal microbiota dysbiosis and diseases following the logic of "Microecological Koch's postulates" should be the key goal in future shrimp intestinal field, which help to guide disease diagnosis and prevent disease outbreaks in shrimp farming. KEY POINTS: • Intestinal microbiota dysbiosis is relevant to multiple shrimp diseases. • Microecological Koch's postulates help to evaluate the causality of shrimp diseases.

Intestine bacterial community affects the growth of the Pacific white shrimp (Litopenaeus vannamei).

Increasing evidence suggests that intestine microorganisms are closely related to shrimp growth, but there is no existing experiment to prove this hypothesis. Here, we compared the intestine bacterial community of fast- and slow-growing shrimp at the same developmental stage with a marked difference in body size. Our results showed that the intestine bacterial communities of slow-growing shrimp exhibited less diversity but were more heterogeneous than those of fast-growing shrimp. Uncultured_bacterium_g_Candidatus Bacilloplasma, Tamlana agarivorans, Donghicola tyrosinivorans, and uncultured_bacterium_f_Flavobacteriaceae were overrepresented in the intestines of fast-growing shrimp, while Shimia marina, Vibrio sp., and Vibrio campbellii showed the opposite trends. We further found that the bacterial community composition was significantly correlated with shrimp length, and some bacterial species abundances were found to be significantly correlated with shrimp weight and length, including T. agarivorans and V. campbellii, which were chosen as indicators for a reverse gavage experiment. Finally, T. agarivorans was found to significantly promote shrimp growth after the experiment. Collectively, these results suggest that intestine bacterial community could be important factors in determining the growth of shrimp, indicating that specific bacteria could be tested in further studies against shrimp growth retardation. KEY POINTS: • A close relationship between intestine bacterial community and shrimp growth was proven by controllable experiments. • The bacterial signatures of the intestine were markedly different between slow- and fast-growing shrimp, and the relative abundances of some intestine bacterial species were correlated significantly with shrimp body size. • Reverse gavage by Tamlana agarivorans significantly promoted shrimp growth.

Application of oncolytic virus in tumor therapy.

Oncolytic viruses (OVs) can selectively kill tumor cells without affecting normal cells, as well as activate the innate and adaptive immune systems in patients. Thus, they have been considered as a promising measure for safe and effective cancer treatment. Recently, a few genetically engineered OVs have been developed to further improve the effect of tumor elimination by expressing specific immune regulatory factors and thus enhance the body's antitumor immunity. In addition, the combined therapies of OVs and other immunotherapies have been applied in clinical. Although there are many studies on this hot topic, a comprehensive review is missing on illustrating the mechanisms of tumor clearance by OVs and how to modify engineered OVs to further enhance their antitumor effects. In this study, we provided a review on the mechanisms of immune regulatory factors in OVs. In addition, we reviewed the combined therapies of OVs with other therapies including radiotherapy and CAR-T or TCR-T cell therapy. The review is useful in further generalize the usage of OV in cancer treatment.

ABLNCPP: Attention Mechanism-Based Bidirectional Long Short-Term Memory for Noncoding RNA Coding Potential Prediction.

With the continuous development of ribosome profiling, sequencing technology, and proteomics, evidence is mounting that noncoding RNA (ncRNA) may be a novel source of peptides or proteins. These peptides and proteins play crucial roles in inhibiting tumor progression and interfering with cancer metabolism and other essential physiological processes. Therefore, identifying ncRNAs with coding potential is vital to ncRNA functional research. However, existing studies perform well in classifying ncRNAs and mRNAs, and no research has been explicitly raised to distinguish whether ncRNA transcripts have coding potential. For this reason, we propose an attention mechanism-based bidirectional LSTM network called ABLNCPP to assess the coding possibility of ncRNA sequences. Considering the sequential information loss in previous methods, we introduce a novel nonoverlapping trinucleotide embedding (NOLTE) method for ncRNAs to obtain embeddings containing sequential features. The extensive evaluations show that ABLNCPP outperforms other state-of-the-art models. In general, ABLNCPP overcomes the bottleneck of ncRNA coding potential prediction and is expected to provide valuable contributions to cancer discovery and treatment in the future. The source code and data sets are freely available at https://github.com/YinggggJ/ABLNCPP.

Increased levels of N6-methyladenosine in peripheral blood RNA: a perspective diagnostic biomarker and therapeutic target for non-small cell lung cancer.

OBJECTIVES: Due to lack of effective biomarkers for non-small cell lung cancer (NSCLC), many patients are diagnosed at an advanced stage, which leads to poor prognosis. Dysregulation of N6-methyladenosine (m6A) RNA contributes significantly to tumorigenesis and tumor progression. However, the diagnostic value of m6A RNA status in peripheral blood to screen NSCLC remains unclear. METHODS: Peripheral blood samples from 152 NSCLC patients and 64 normal controls (NCs) were applied to assess the m6A RNA levels. Bioinformatics and qRT-PCR analysis were performed to identify the specific immune cells in peripheral blood cells and investigate the mechanism of the alteration of m6A RNA levels. RESULTS: Robust elevation of m6A RNA levels of peripheral blood cells was exhibited in the NSCLC group. Moreover, the m6A levels increased as NSCLC progressed, and reduced after treatment. The m6A levels contained area under the curve (AUC) was 0.912, which was remarkably greater than the AUCs for CEA (0.740), CA125 (0.743), SCC (0.654), and Cyfra21-1 (0.730). Furthermore, the combination of these traditional biomarkers with m6A levels elevated the AUC to 0.970. Further analysis established that the expression of m6A erasers FTO and ALKBH5 were both markedly reduced and negatively correlated with m6A levels in peripheral blood of NSCLC. Additionally, GEO database and flow cytometry analysis implied that FTO and ALKBH5 attributes to peripheral CD4+ T cells proportion and activated the immune functions of T cells. CONCLUSIONS: These findings unraveled that m6A RNA of peripheral blood immune cells was a prospective biomarker for the diagnosis of NSCLC.

Toxoplasma gondii induces MLTC-1 apoptosis via ERS pathway.

Toxoplasma gondii (T. gondii) is a serious intracellular parasite and mammalian infection can damage the reproductive system and lead to apoptosis of Murine Leydig tumor cells (MLTC-1); however, the mechanism is unclear. The testis Leydig cell is the main testosterone synthesis cell in male mammals. We studied the mechanism of T. gondii infection on Leydig cell apoptosis in vitro. MLTC-1 were divided into control and experimental groups. Experiment group cells and tachyzoites were co-cultured, in a 1:20 ratio, for 3, 6, 9, and 12 h. T. gondii entered the cells and caused lesions at 12 h. Flow cytometry showed that the apoptosis rate of the experiment group increased with time and was significantly higher (P < 0.05) than the control group. RT-qPCR and western blot demonstrated that the expression of P53, Caspase-3, and Bax were significantly increased at 12 h (P < 0.05). Bcl-2 expression was significantly increased at 12 h (P < 0.05). The ER stress (ERS) pathway was important in cell apoptosis. RT-qPCR and western blot showed that the expression of CHOP was significantly increased at 12 h (P < 0.05). These data indicate that T. gondii induced MLTC-1 cell apoptosis may occur via the ERS pathway.

Diverse Regulatory Manners and Potential Roles of lncRNAs in the Developmental Process of Asian Honey Bee (Apis cerana) Larval Guts.

Long non-coding RNAs (lncRNAs) are crucial modulators in a variety of biological processes, such as gene expression, development, and immune defense. However, little is known about the function of lncRNAs in the development of Asian honey bee (Apis cerana) larval guts. Here, on the basis of our previously obtained deep-sequencing data from the 4-, 5-, and 6-day-old larval guts of A. cerana workers (Ac4, Ac5, and Ac6 groups), an in-depth transcriptome-wide investigation was conducted to decipher the expression pattern, regulatory manners, and potential roles of lncRNAs during the developmental process of A. cerana worker larval guts, followed by the verification of the relative expression of differentially expressed lncRNAs (DElncRNAs) and the targeting relationships within a competing endogenous RNA (ceRNA) axis. In the Ac4 vs. Ac5 and Ac5 vs. Ac6 comparison groups, 527 and 498 DElncRNAs were identified, respectively, which is suggestive of the dynamic expression of lncRNAs during the developmental process of larval guts. A cis-acting analysis showed that 330 and 393 neighboring genes of the aforementioned DElncRNAs were respectively involved in 29 and 32 functional terms, such as cellular processes and metabolic processes; these neighboring genes were also respectively engaged in 246 and 246 pathways such as the Hedgehog signaling pathway and the Wnt signaling pathway. Additionally, it was found that 79 and 76 DElncRNAs as potential antisense lncRNAs may, respectively, interact with 72 and 60 sense-strand mRNAs. An investigation of competing endogenous RNA (ceRNA) networks suggested that 75 (155) DElncRNAs in the Ac4 vs. Ac5 (Ac5 vs. Ac6) comparison group could target 7 (5) DEmiRNAs and further bind to 334 (248) DEmRNAs, which can be annotated to 33 (29) functional terms and 186 (210) pathways, including 12 (16) cellular- and humoral-immune pathways (lysosome pathway, necroptosis, MAPK signaling pathway, etc.) and 11 (10) development-associated signaling pathways (Wnt, Hippo, AMPK, etc.). The RT-qPCR detection of five randomly selected DElncRNAs confirmed the reliability of the used sequencing data. Moreover, the results of a dual-luciferase reporter assay were indicative of the binding relationship between MSTRG.11294.1 and miR-6001-y and between miR-6001-y and ncbi_107992440. These results demonstrate that DElncRNAs are likely to modulate the developmental process of larval guts via the regulation of the source genes' transcription, interaction with mRNAs, and ceRNA networks. Our findings not only yield new insights into the developmental mechanism underlying A. cerana larval guts, but also provide a candidate ceRNA axis for further functional dissection.

WNT signaling modulates chemoresistance to temozolomide in p53-mutant glioblastoma multiforme.

Glioblastoma multiforme (GBM) has been characterized by the high incidence, therapy tolerance and relapse. The molecular events controlling GBM resistant to chemotherapy temozolomide (TMZ) remain to be elusive. Here, we identified WNT signaling was amplified by TMZ and mediated drug response in GBM. We found O6-methylguanine DNA methyltransferase (MGMT) was redundant to WNT-mediated chemoresistance, which was highly associated with p53 mutation status. In GBM with p53 mutation, loss of function of p53 downregulated miR-34a expression, which represses transcription of WNT ligand 6 (WNT6) by directly binding to 3' UTR of WNT6 mRNA, leading to activation of WNT signaling, and the eventual WNT-mediated chemoresistance to TMZ. Combined treatment of TMZ with WNT inhibitor or miR34a mimic induced drug sensitivity of p53-mutant GBM cells and extended survival in xenograft mice in vivo. Our findings provide insight into understanding the molecular mechanism of GBM chemoresistance to TMZ and facilitating to develop novel treatment strategy to combat p53-mutant GBM by targeting miR-34a/WNT6 axis.

COMBINATION OF VITRECTOMY AND INTENTIONAL MACULAR DETACHMENT IS ASSOCIATED WITH A FASTER EDEMATOUS REGRESSION THAN VITRECTOMY ALONE IN THE TREATMENT OF REFRACTORY DIABETIC MACULAR EDEMA.

PURPOSE: To compare clinical outcomes in eyes with refractory diabetic macular edema managed by vitrectomy combined with and without intentional macular detachment (IMD). METHODS: This is a retrospective cohort study. Forty-one eyes with diabetic macular edema that were previously poorly responsive to at least 5 monthly anti-vascular endothelial growth factor and at least twice switch therapy previously were included in this study. All eyes underwent pars plana vitrectomy with internal limiting membrane peeling, 21 of which were combined with an IMD procedure (assigned to an IMD group) and 20 of which did not have IMD performed (nMD group). Macular morphologic and visual acuity changes were analyzed from baseline through the endpoint (24 weeks) postprocedure, and were compared between groups. RESULTS: All patients completed at least six months of follow-up, with a mean of 29.7 weeks (24-56 weeks). The mean central retinal thickness reduction was greater in the IMD group than that in the nMD group at 1 week (P = 0.001), 2 weeks (P = 0.008), and 4 weeks (P = 0.004), but there was no statistically significant difference at 12 weeks (P = 0.051) or 24 weeks (P = 0.056). There were no significant differences in the mean changes of best-corrected visual acuity from baseline to the 24 weeks endpoint in either group (P = 0.83). CONCLUSION: Vitrectomy can release macular edema in the eyes with refractory diabetic macular edema. Combined with IMD technical, patients seemed to achieve a faster central retinal thickness decrease but neither the final morphologic outcome nor the visual acuity was affected.

Development of CRISPR-CAS9 based RNA drugs against Eimeria tenella infection.

Parasitic diseases are major trouble in many parts of the world. We consider that if a chemical can break a DNA barcode sequence, it might be used to develop a species-specific anti-parasitic agent. To examine this hypothesis, we constructed sgRNAs that target both the control (5.8S rDNA) and a DNA barcode (ITS) sequence in Eimeria tenella. In vitro experiment showed that Cas9 mRNA combined with sgRNAs could reduce the sporulation percentage of oocysts and the survival rate of sporulated oocysts and sporozoites. Quantitative real-time PCR showed that the DNAs of parasites exposed to Cas9 mRNA and sgRNAs were significantly affected, regardless of whether they were exposed to a combination of two sgRNAs or just a single sgRNA. The DNA sequencing also indicated that the experimental group exposed to two sgRNAs mixed with Cas9-induced deletion of large parts and a single sgRNA mixed with Cas9-induced mutation at sgRNA targeted fragments. In vivo trial, the effect of sgRNA and Cas9 RNA on the pathogenicity of E. tenella in chicken showed less lesion score and oocysts score (P < 0.05) in experimental groups than control groups. The results and concepts presented in this research can lead to discovering novel nucleic acid therapeutic drugs for Eimeriasis and other parasitic infections, which provide insights into the development of species-specific anti-parasitic agents.

Distinct bacterial communities in the environmental water, sediment and intestine between two crayfish-plant coculture ecosystems.

Microorganisms are an important part of productivity, water quality, and biogeochemical cycles in an aquaculture ecosystems and play a key role in determining the growth and fitness of aquaculture animals. Coculture ecosystems are widely applied with great significance in agricultural production worldwide. The crayfish-rice coculture ecosystem (CRCE) and crayfish-waterweed coculture ecosystem (CWCE) are two high-profile artificial ecosystems for crayfish culture. However, the bacterial communities of the environmental water, sediment, and intestine in the CRCE and CWCE remain elusive. In this study, we investigated the diversity, composition, and function of bacterial communities in water, sediment, and intestine samples from the CRCE to CWCE. The physicochemical factors of water [such as ORP (oxidation-reduction potential), TC (total carbon), TOC (total oxygen carbon), and NO3--N] and sediment [such as TC, TOC, TN (total nitrogen), and TP (total phosphate)] were significantly different in the CRCE and CWCE. The abundances of Proteobacteria, Actinobacteria, Verrucomicrobia, Cyanobacteria, Chlorobi, Chloroflexi, and Firmicutes were significantly different in the water bacterial communities of the CRCE and CWCE. The abundance of Vibrio in the crayfish intestine was higher in the CRCE than in the CWCE. The most abundant phyla in the CRCE and CWCE sediment were Proteobacteria and Bacteroidetes. The abundances of genes involved in transporters and ABC transporters were different in water of CRCE and CWCE. The abundances of genes involved in oxidative phosphorylation were significantly higher in the crayfish intestine of the CRCE than in that of the CWCE. Furthermore, the functional genes associated with carbon metabolism were significantly more abundant in the sediment of the CRCE than in that of the CWCE. Spearman correlation analysis and redundancy analysis (RDA) showed that the bacterial communities of the water and sediment in the CRCE and CWCE were correlated with environmental factors (pH, total carbon (TC), total oxygen carbon (TOC), total nitrogen (TN), and total phosphorus (TP)). Our findings showed that the composition, diversity and function of the bacterial communities were distinct in the environmental water, sediment, and intestine of the CRCE and CWCE crayfish coculture ecosystems due to their different ecological patterns. These results can help guide healthy farming practices and deepen the understanding of bacterial communities in crayfish-plant coculture ecosystems from the perspective of bacterial ecology. KEY POINTS: • The composition of bacterial communities in the environmental water, sediment, and intestine of the CRCE and CWCE were distinct. ̉• The abundances of genes involved in transporters and ABC transporters were different in the water of the CRCE and CWCE. • The bacterial communities of the water and sediment in the CRCE and CWCE were correlated with some environmental factors.

Stochastic processes shape the bacterial community assembly in shrimp cultural pond sediments.

Sediment environments harbor a repertoire of microorganisms that contribute to animal health and the microecosystem in aquaculture ecosystems, but their community diversity and the potential factors that control it remain unclear. Here, we applied 16S rRNA gene amplicon sequencing to investigate bacterial diversity and assembly mechanisms in the sediments of shrimp cultural ponds at the mesoscale. Our results showed that sediment bacterial communities contained 10,333 operational taxonomic units (OTUs) but had only 34 core OTUs and that the relative abundances of these core OTUs were significantly correlated with the physicochemical properties of the sediments. Proteobacteria, Bacteroidetes, Chloroflexi, Cyanobacteria, Acidobacteria, Firmicutes, Actinobacteria, Ignavibacteriae, Spirochaetae and Planctomycetes were the ten most abundant bacterial phyla. Notably, some opportunistic pathogens (e.g. Vibrio and Photobacterium) and potential functional microbes (e.g. Nitrospira, Nitrosomonas, Desulfobulbus and Desulfuromusa) were widely distributed in shrimp cultural pond sediments. More importantly, we found that there was a significant negative but weak distance-decay relationship among bacterial communities in shrimp culture pond sediments at the mesoscale, and that the spatial turnover of these bacterial communities appeared to be largely driven by stochastic processes. Additionally, environmental factors, such as pH and total nitrogen, also played important roles in influencing the sediment bacterial structure. Our findings enhance our understanding of microbial ecology in aquatic ecosystems and facilitate sediment microbiota management in aquaculture. KEY POINTS: • Core bacterial taxa in cultural pond sediments contributed to the shrimp health and element cycling. • There was a significant negative distance-decay relationship among bacterial communities in shrimp culture pond sediments at the mesoscale, and its spatial turnover appeared to be largely driven by stochastic processes. • Environmental factors (e.g. pH and total nitrogen) played important roles in influencing bacterial structure in shrimp cultural pond sediments.

Temporal variation of antibiotic resistance genes carried by culturable bacteria in the shrimp hepatopancreas and shrimp culture pond water.

The increasing prevalence of antibiotic resistance genes (ARGs) is a challenge to the health of humans, animals and the environments. Human activities and aquatic environments can increase ARGs. Few studies have focused on the temporal variation of aquatic bacteria with multiple ARGs in aquatic environments affected by human production activity. We studied culturable bacteria (CB) carrying ARGs, including sul1, sul2, floR, strA and gyrA in the shrimp hepatopancreas (HP) and in pond water during shrimp culture. The relative abundance of ARGs carried by CB in HP was higher than that in water (P < 0.05). However, CB carrying ARGs generally varied in random pattern. The correlation of sul2 abundance was significantly positive in HP, while that of strA abundance was significantly negative in water (P < 0.05) during shrimp culture. Among all of the CB, 33.59% carried multiple ARGs. Temporal distance-decay analysis indicated that CB carrying ARGs in water were more resistant to the effects of human activity. CB carrying ARGs varied temporally in HP and pond water during shrimp culture. These results demonstrate that multiple ARGs are carried by CB, and these varied with the phase of aquatic culture.