1068 results about "Microbiome" patented technology

The invention discloses an intestinal flora and obesity personalized diagnosis method based on a graph attention network, and relates to the technical field of obesity diagnosis, and the method comprises the following steps: collecting gene data, building a graph structure-based model for the data to predict obesity risk and provide personalized health suggestions, each piece of microbiome data is expressed as a weighted undirected graph, a microbiome graph is constructed, the association strength between microbiome groups is calculated, and the microbiome data is expressed as a graph structure. According to the method, the graph structure model considering the relevance between the microbiome groups is constructed, the self-adaptive graph convolutional network and the heterogeneous graph attention network are utilized, multi-modal information interaction between the microbiome and clinical data is deeply mined, the processing capacity of high-dimensional and complex microbiome data is improved, and the multi-modal information interaction between the microbiome and clinical data is improved. The accurate prediction of obesity risks and the provision of personalized health suggestions are realized, the prediction accuracy and generalization ability of the model are significantly improved, and a more effective personalized obesity diagnosis effect is achieved.

Devices and methods for delivering an antimicrobial composition to a medical device to prevent infection and microbial ingress in medical devices. An embodiment of the device includes a male connector with a distal tip and a recess at the distal tip configured to deliver an antimicrobial composition into solution within a cavity formed by the recess. The surface of the recess includes an antimicrobial composition. In certain implementations, the antimicrobial composition contains chlorhexidine acetate.

The invention discloses a water quality monitoring system applied to sewage treatment, and relates to the technical field of sewage quality monitoring. Before microorganisms are added, the uniformity of water quality is monitored and analyzed, the sewage treatment mode is confirmed, and during layered treatment, the water quality is monitored and analyzed. The method comprises the following steps: analyzing a microorganism combination scheme and a microorganism addition scheme during sewage treatment of each deep layer, during overall treatment, carrying out water quality monitoring on the microorganism combination scheme and the overall microorganism addition scheme of the sewage after microorganisms are added, and then carrying out corresponding adjustment, so that the uniformity and uniformity of the water quality treatment progress are ensured; the method is beneficial to maintaining the stability of a microorganism growth environment, so that microorganisms continuously and efficiently work in a relatively stable environment, the decomposition speed of pollutants in sewage is increased, the stability of effluent quality is ensured, the difficulty of subsequent microorganism control and regulation is reduced, the overall sewage treatment effect is improved, microorganism waste is not easily caused, and the method is suitable for industrial production. The operation cost is reduced.

The invention relates to the field of chronic disease early warning, and discloses a chronic disease early warning intervention system based on artificial intelligence, and the system comprises a data collection module which is used for collecting multi-modal data, and the multi-modal data comprises gene detection data, proteomics data, microbiomics data, environment data and social economic data; the pre-processing module is used for pre-processing the multi-modal data to obtain basic data, and the pre-processing comprises noise removal, abnormal value and missing value processing and targeted data cleaning and feature extraction operation on the data of different modals; and a conversion fusion module. Through cooperative operation of all the modules, a complete and automatic chronic disease early warning intervention process is formed, an organic whole is formed from data acquisition, risk assessment and intervention measure formulation and implementation, and the chronic disease risk whole process management and control are achieved, so that the chronic disease prevention and treatment efficiency and effect are improved.

The invention discloses a method for restoring soil heavy metal pollution by coupling soybean urease with a charcoal cementing agent, and relates to the technical field of soil heavy metal pollution restoration, and the method comprises the following steps: dynamic microbiome regulation and control: introducing photosensitive protein into soil functional bacteria; the acyl homoserine lactone analogue is synthesized and applied to soil, and is competitively combined with a microbial quorum sensing receptor to block an inhibitor to secrete a signal channel; according to the method, microbial urease secretion is regulated and controlled through optogenetics, an inhibitor signal is blocked through quorum sensing interference, and a microbiome is precisely regulated and controlled; the pH-responsive nanocapsule releases an inhibitor in a targeted manner, and the magnetic-responsive nanochain dynamically captures interfering bacteria, so that the limitation of passive adsorption is broken through; the gene editing plant releases coumarin to inhibit fungal metabolism, and the engineering mycorrhizal fungi physically shields an inhibitor to construct cross-biosphere cooperative defense; the urease activity and the heavy metal removal rate are remarkably improved, meanwhile, the soil microbial diversity is maintained, and the soil specificity interference problem is solved.

The invention relates to a microbial index-based estuary and coastal environment ecological evaluation method, which comprises the following steps of: selecting representative sampling points, collecting sediment samples, analyzing and evaluating pressure gradients generated by human activities to estuary and coastal environments through physicochemical indexes, and constructing pressure indexes according to a reference standard, the comprehensive environment pressure index of each sampling point is constructed and calculated to reflect the overall condition of the target area environment; evaluating the health condition of large invertebrate communities in estuary and coastal environments and the response of the communities to human pressure, and calculating a marine organism index AMBI, so as to display the ecological health condition of a region; a high-throughput sequencing technology is used for identifying microorganism composition, pollution indicator bacteria are defined, a microorganism index M-AMBI value is calculated according to the pollution indicator bacteria, and the ecological health condition of each sampling point is graded; and finally, verifying the reliability of an ecological evaluation result through statistical analysis. According to the method, multi-dimensional data are integrated, the ecology of the estuary and coastal environment is comprehensively evaluated, a scientific basis is provided for revealing an environment pressure source and an ecological effect thereof, formulation of a precise environment management strategy is assisted, pollution risks are effectively prevented and controlled, and sustainable development of an estuary and coastal ecological system is promoted.

The invention provides an IBS micro-ecological transplantation intelligent prediction method and system based on multi-omics driving, and relates to the technical field of biomedicine. The method comprises the following steps: establishing a multi-omics data fusion subsystem to collect metagenome, metabolome, host genome and clinical phenotype group data of a target patient; inputting the data into a flora-metabolite combined network analysis model to construct an interaction network and extracting features; generating an incidence matrix based on the features and the host genome data and calculating indexes; generating indexes through a dynamic response algorithm in combination with the clinical phenotypic data and the indexes; and outputting a curative effect prediction result by using a transfer learning framework combined with modeling. The system comprises a data acquisition module, a network analysis module, a correlation calculation module, a dynamic response module and a joint modeling module. According to the method, multiple omics data are integrated, the flora and host relation is accurately mined, intelligent prediction of the micro-ecological transplantation curative effect is achieved, powerful support is provided for IBS personalized treatment, and meanwhile data processing and safety guarantee measures are taken.

The invention discloses a method and system for predicting juvenile depression based on intestinal flora, and relates to the technical field of bioinformatics and artificial intelligence, and the method comprises the steps: firstly, obtaining an original sequence of a microbiome, carrying out the preprocessing of the original sequence of the microbiome, and obtaining a feature matrix; and screening core flora characteristics with stable trans-folding by adopting characteristic importance evaluation and interpretability analysis based on a gradient boosting decision tree. A mixed weighted graph is constructed based on Spearman correlation and a proximity relationship, and an absolute value of a correlation coefficient is taken as an edge weight and an edge density is adjusted through a threshold adaptive strategy. And finally, through an improved graph attention neural network, based on edge weight attention, layer normalization and random inactivation, enhancing robustness, and adopting adaptive optimization to complete parameter learning. And determining a dynamic classification threshold according to the AUC of the target patient, and outputting a sample discrimination result and confidence. According to the method, the accuracy, stability and biological interpretability of juvenile depression recognition are remarkably improved.

The invention relates to the technical field of soil fertilizers, and mainly relates to application of a tobacco planting soil improvement compound microbial agent. The compound microbial agent disclosed by the invention is composed of microorganisms with different functions. The compound microbial agent is used for replacing part of common chemical fertilizer and is matched with tobacco base fertilizer for co-application, and a new thought is provided for reducing application of chemical fertilizer in the tobacco growing period. In addition, the compound microbial agent provided by the invention has an improvement effect on the microbial community structure in soil and the quality and yield of flue-cured tobacco, and has a wide application prospect.

The present invention relates, in general terms, to a face mask. The present invention also relates, in general terms, to composite material, iron-iron oxide compositions and their methods of fabrication thereof. In particular, the iron-iron oxide composition comprises a cashew testa extract and iron particles and / or oxide core-shell particles. The iron-iron oxide composition can be used as an anti-microbial composition.

The invention discloses a biocontrol complex microbial inoculant for preventing and treating maize curvularia leaf spot and application thereof, and belongs to the field of crop disease prevention and treatment. The biocontrol complex microbial inoculant comprises the following active ingredients: bacillus cereus, pseudomonas chlororaphis and streptomyces microflavus, and / or metabolites thereof. The beneficial microorganisms with different action mechanisms are combined, and the prevention and control effect on the curvularia maize leaf spot disease is enhanced through the synergistic effect. Natural microbial resources are adopted to replace traditional chemical pesticides, harmful substance residues are reduced, and the ecological environment is protected. Through reasonable matching of different types of beneficial microorganisms, effective prevention and control of the curvularia maize leaf spot disease are realized, and healthy growth of plants can be promoted. Compared with a single strain preparation, the complex microbial inoculant provided by the invention has stronger stability and durability, and can significantly reduce the incidence rate of diseases.

The invention provides a soil flora analysis method, a related soil flora and application thereof. Based on a soil long-term positioning test, an absolute quantitative method is used for the first time to explore a dynamic assembly rule of rhizosphere and in-root microbiome in a plant full life cycle, and the response characteristics of the rhizosphere microbiome to different fertilization treatments are studied. By combining methods of metagenome, microorganism isolated culture, community synthesis and the like, functional adaptation of rhizosphere microorganisms under different fertilization conditions and a mechanism of influencing the growth of leguminous plants are disclosed. The invention also provides a method for improving the chemical properties and soil flora of soil; the invention also provides an artificially synthesized flora which has a promoting effect on the growth and biomass of leguminous plants.

The present invention discloses a disease prediction method and system based on adaptive fusion of microbiome hierarchical features, which relates to the technical field of microbiome data analysis. A trained disease prediction model is used to predict diseases based on microbiome data. The disease prediction model performs multi-level feature extraction on feature data of five classification levels through a hierarchical feature extraction module, and integrates the results into multi-level fusion features. The multi-scale feature fusion module processes the multi-level fusion features through three parallel channels of pattern flow, context flow and content flow to achieve an all-round representation of microbiome data. The dynamic sampling module is introduced in the training process, and based on the class balance mechanism and the uncertainty evaluation strategy, the sample sampling weights are dynamically adjusted. Finally, a classifier is used to predict diseases for the multi-scale fusion features. The present invention makes full use of microbiome classification level information, realizes multi-dimensional feature representation, effectively addresses the problem of sample imbalance, and improves the accuracy of disease prediction.

The invention discloses a method for improving saline-alkali soil by using arbuscular mycorrhizal fungus bacterial fertilizer, and relates to the technical field of biology. The arbuscular mycorrhizal fungus bacterial fertilizer comprises a microorganism combination for improving saline-alkali soil, the microbial composition comprises Scopulariopsis brevicaulis (Scopulariopsis brevicaulis), Absidia corymbifera (Absidia corymbifera) and Eurotium chevalieri (Eurotium chevalieri), and is characterized in that the microbial composition comprises Scopulariopsis brevicaulis, Absidia corymbifera and Eurotium chevalieri (Eurotium chevalieri). The method for improving the saline-alkali soil by using the arbuscular mycorrhizal fungus bacterial fertilizer provided by the invention is a green, environment-friendly and efficient soil improvement technology, can effectively improve the physicochemical properties of the saline-alkali soil and improve the soil quality and crop yield, and has wide market prospects and important social significance.

The invention belongs to the technical field of microbial agents, and particularly relates to a preservative and fresh-keeping microbial composition as well as a microbial agent and application thereof. The microbial composition disclosed by the invention comprises bacillus subtilis LS and bacillus velezensis LX, and in the microbial composition, the concentration ratio of the bacillus subtilis LS to the bacillus velezensis LX is (0.1-1): (0.1-1); the preservation number of the bacillus subtilis LS is CGMCC (China General Microbiological Culture Collection Center) NO.30953; the preservation number of the bacillus velezensis LX is CGMCC (China General Microbiological Culture Collection Center) NO. 30954. In the microbial composition provided by the invention, the bacillus subtilis LS and the bacillus velezensis LX can generate a synergistic effect and can be used for preventing and treating the soft rot of the kiwi fruits, and a theoretical basis and technical guidance are provided for biological prevention and treatment and storage and fresh-keeping of the soft rot of the kiwi fruits.

The invention discloses methanogen lyase homologous with a PeiR lyase sequence and application of the methanogen lyase, and aims to solve the problem that PeiR lyase protein of a methanogen cell wall peptide bond can participate in a biological process of hydrolyzing archaea cell walls, effectively kill methanogen and reduce methane production, and protein homologous with the PeiR lyase protein has potential methane reduction potential. According to the invention, a series of biological information software is utilized to identify protein sequences coded by methanogens virus from rumen microbiome sequencing data, and sequence homology between the proteins and PeiR protein is further analyzed to obtain a series of methanogens lyases. In order to realize the expression of the lyase, multiple segments of primers are designed to synthesize a target sequence, and the target sequence is successfully expressed in a prokaryotic expression system. Through the detection of crude enzyme liquid, the effectiveness of the lyase in the aspect of reducing the methane yield is verified in an in-vitro gas production test.

The invention discloses a soybean phospholipid disease-preventing and root-promoting microbial agent as well as a preparation method and application thereof, and belongs to the technical field of microorganisms. The microbial agent comprises a microbial composition, modified enzymolysis soybean phospholipid, a carrier and auxiliary components. According to the invention, the modified enzymolysis soybean phospholipid and microorganisms are combined to achieve a synergistic effect. According to the method, soybean phospholipid is modified and subjected to enzymolysis, and the steps of pretreatment, stepped low-temperature treatment, enzymolysis treatment, enzyme inactivation and purification and the like are carried out, so that the quality and performance of the soybean phospholipid are improved, the rhizosphere colonization rate of strains can be increased, the disease prevention and root promotion effects can be improved, the soil micro-ecological environment can be improved, and good growth conditions are created for plant root systems; and the disease-preventing and root-promoting effects of the microbial agent are further enhanced. The microbial agent disclosed by the invention can be used for remarkably reducing the morbidity of wheat sharp eyespot and reducing the use amount of chemical pesticides, can also be applied to planting of other crops, and can play a role in preventing and controlling various plant diseases and promoting root growth.

The invention provides a microbial composition and application thereof in preparation of selenium-rich sleep-aiding goat milk powder, and belongs to the technical field of microbial fermentation. The microbial composition disclosed by the invention comprises bifidobacterium animalis, enterococcus durans and candida tropicalis. A food additive obtained by fermenting Chinese yam, selenium-rich black beans, Chinese wolfberry fruits, licorice roots, wheat and tremella fuciformis through the microbial composition has the sleep aiding effect, milk powder prepared by combining the microbial composition with other raw materials has the remarkable sleep improving effect, and the milk powder can be taken for a long time and is safe, nutritional and healthy.

The invention belongs to the field of polypeptides, and particularly relates to an antibacterial peptide derived from marine microorganisms, an antibacterial composition and application. Based on a deep learning algorithm, five potential antibacterial peptides are mined from a global marine microbiome database, and the five antibacterial peptides are expressed in yarrowia lipolytica. Experimental tests show that the five antibacterial peptides have differentiated antibacterial effects on different bacteria, and the antibacterial peptide shown in SEQ ID NO: 3 can have an obvious inhibition effect on escherichia coli, pseudomonas aeruginosa and staphylococcus aureus, has low hemolysis and has a positive application prospect. The antibacterial peptide disclosed by the invention has the potential of further developing novel antibacterial drugs or antibacterial additives.

The present invention relates to a microbial combination and a fermented milk and the use thereof, in particular to a multi-strain microbial combination, a fermented milk prepared from the microbial combination and the use of the microbial combination in the fermentation of a camel milk. The microbial composition contains at least two of lactic acid bacteria and yeasts derived from traditional fermented milk products in Xinjiang, including Leuconostoc pseudomesenteroides, Lactobacillus rhamnosus, Debaryomyces hansenii and Kluyveromyces marxianus. The microbial composition ensures that industrially fermented camel milk products have the flavor and nutritional functions of naturally fermented sour camel milk, but with higher quality, better safety and significantly prolonged shelf life. The microbial composition has relatively high acidification efficiency, proteolysis capacity and lactose decomposition capability, can improve the unpleasant flavor of camel milk products industrially fermented by using conventional strains, and has wide application prospects in industrial production.

The invention provides a top-down directional evolution method for growth-promoting microbiome of rice. The top-to-bottom rice growth-promoting microbiome directional evolution method comprises the following steps: step 1, selecting a microbiome with a growth-promoting effect on rice seedlings, combining Bottleneck + Migration into an LB culture medium for iterative culture, and after 15 rounds of non-selective iteration, transferring each round of iteration into a new LB culture solution; 2, respectively inoculating the flora subjected to 15 rounds of non-selective iteration in the step 1 into a Hoagland nutrient solution; 3, the nutrient solution samples with the flora added in the step 2 are respectively and equivalently added into rice seedling culture dish samples; 4, observing the growth vigor of the rice once every five days, and detecting morphological indexes such as leaf length and root length of the rice; 5, repeating the steps 1-4 on the inoculated flora screened in the step 4, and circulating for 5 times; the method has the advantage of screening out the microbiome capable of remarkably promoting the growth of the rice seedlings.

The invention relates to the technical field of microbial agents, and discloses a plant root system growth-promoting microbial agent screening method which comprises the following steps: firstly, collecting rhizosphere microbiome data and corresponding crop growth phenotype data of different target crops in growth stages and soil environments; then establishing a microorganism-phenotype prediction model based on the data, and obtaining two groups of key growth promoting strains through feature importance analysis and microorganism interaction network analysis; finally, according to the key strains and the prediction model, screening out a microbial inoculum formula with the optimal expected growth promoting effect. According to the invention, a set of systematic screening scheme for the plant root growth-promoting microbial agent is established, by comprehensively considering the growth-promoting effect and the interaction relationship of the strains, an efficient and synergistic dominant strain combination can be screened out, the pertinence and the effectiveness of the plant root growth-promoting microbial agent are remarkably improved, and the method has a good application prospect in the field of microbial fertilizer development.

The present disclosure provides a composition and methods for preventing, reducing, or eliminating a mastitis infection in a bovine animal. The composition includes an inhibitory composition in an amount effective to inhibit the growth of infectious mastitis pathogens in a mammary system of the bovine animal, where the inhibitory composition includes a microbial composition or an extract of one or more microbes of a mammary system-associated microbiota of healthy bovines, including Anaerocolumna aminovalerica, Bacillus glycinifermentans, Bacillus licheniformis, Bacillus pumilis, Bacillus sonorensis, Bacillus_AY sp002271785, Bacillus butanolivorans, Brevibacillus borstelensis, Brevibacterium epidermis, Clostridium aerotolerans, Corynebacterium sp., Corynebacterium xerosis, Cutibacterium acnes, Cytobacillus kochii, Dietzia sp., Enterococcus aquimarinus, Enterococcus faecalis, Enterococcus_A pseudoavium, Facklamia sp., Facklamia tabacinasalis, Hungatella, Lacrimispora sp., Lacrimispora algidixylanolytica, Metabacillus niabensis, Micrococcus luteus, Paenibacillus pabuli, Paraclostridium bifermentans, Peribacillus simplex, Populibacterium corticicola, Timonella sp., Tissierella creatinini, and Weissella jogaejeotgali, or any combinations thereof.

The invention relates to the technical field of microbial engineering, and particularly discloses bacillus velezensis MSGL-ZJ1 as well as application and a microbial preparation thereof. The bacillus velezensis MSGL-ZJ1 is preserved in the China General Microbiological Culture Collection Center on September 30, 2024, and the preservation number of the bacillus velezensis MSGL-ZJ1 is CGMCC (China General Microbiological Culture Collection Center) NO.32125. The bacillus velezensis MSGL-ZJ1 is named as bacillus velezensis MSGL-ZJ1. The bacillus velezensis MSGL-ZJ1 and the fermentation liquor thereof are applied to preparation of products for inhibiting microorganisms or / and promoting plant growth. The microbial composition is prepared from the bacillus velezensis MSGL-ZJ1, and further comprises the bacillus velezensis MSGL-ZJ1. The bacillus velezensis MSGL-ZJ1 and the microbial composition provided by the invention can effectively inhibit the growth of phytopathogens, can be used as a broad-spectrum antibacterial biocontrol inoculant, and can effectively promote the growth and development of plants and enhance the stress resistance of the plants.

The present invention discloses a water quality monitoring system applied to sewage treatment, which relates to the technical field of sewage water quality monitoring. Before adding microorganisms, the present invention monitors and analyzes the uniformity of water quality, confirms the sewage treatment mode. During stratified treatment, it analyzes the microorganism combination plan and microorganism addition plan for sewage treatment at each depth layer. During overall treatment, it analyzes the microorganism combination plan and overall microorganism addition plan for sewage, and after adding microorganisms, it conducts water quality monitoring and then makes corresponding adjustments to ensure the unity and uniformity of the water quality treatment progress, which helps to maintain the stability of the microorganism growth environment, so that the microorganisms can continuously work efficiently in a relatively stable environment, improve the decomposition speed of pollutants in the sewage, ensure the stability of the effluent water quality, reduce the difficulty of subsequent microorganism control and regulation, improve the overall sewage treatment effect, and is not easy to cause microorganism waste, reducing the operation cost.

The invention discloses methanogen lyase homologous with high-dimensional characteristics of PeiR lyase and application of the methanogen lyase and aims to solve the problems that PeiR lyase protein of methanogen cell wall peptide bonds can participate in the biological process of hydrolyzing archaea cell walls, methanogen is effectively killed, methane production is reduced, and protein homologous with the protein has potential methane reduction potential. According to the invention, a series of biological information software is utilized to identify protein sequences coded by methanogen viruses from a large amount of rumen microbiome sequencing data, and high-dimensional homology between the proteins and PeiR proteins based on a deep learning model TM-Vec is further analyzed, so that a series of methanogen lyases are obtained. In order to realize the expression of the lyase, multiple segments of primers are designed to synthesize a target sequence, and the target sequence is successfully expressed in a prokaryotic expression system. Through the detection of crude enzyme liquid, the effectiveness of the lyase in the aspect of reducing the methane yield is verified in an in-vitro gas production test.

The invention relates to the technical field of microorganisms, in particular to a complex microbial inoculant for resisting salmonella infection and application of the complex microbial inoculant. The invention provides a microbial composition for resisting salmonella infection. The microbial composition comprises lactobacillus reuteri, lactobacillus mucosa, lactobacillus plantarum, lactobacillus bulgaricus and pediococcus pentosaceus. Results of the embodiment of the invention show that the complex microbial inoculant provided by the invention has an excellent anti-salmonella typhimurium effect, and only the anti-salmonella typhimurium effect of the complex microbial inoculant in a specific proportion provided by the invention is optimal; meanwhile, the complex microbial inoculant can effectively relieve the harm of salmonella typhimurium to chickens, improve the growth performance of the chickens and improve the immunity of the chickens. The invention provides a new prevention and treatment thought for salmonella.

The invention provides an extreme acidophilic bacterium flora. The extreme acidophilic bacterium flora comprises acidophilic thiobacillus with the preservation number of CGMCC (China General Microbiological Culture Collection Center) No.14839 and iron-sulfur oxidizing bacteria with the preservation number of CGMCC No.26454. According to the invention, two strains of extreme acidophilic bacteria obtained by screening are compounded to construct a double-bacteria mineral leaching system. The compounded flora can realize metabolism cooperation of autotrophic bacteria and abnormal bacteria, can realize coupling of iron-sulfur oxidation, can be applied to efficient leaching of pyrite, and has a more efficient ore leaching effect compared with a single strain. And the artificial mixed flora has definite microbial composition, so that the controllability in the bioleaching process is improved.

The invention belongs to the technical field of microbiome clinical diagnosis, and particularly relates to a marker combination, a model and a method for predicting the prognosis risk of a colorectal cancer patient. The method comprises the steps of whole genome sequencing data analysis, human source sequence filtering, microorganism sequence extraction and annotation and machine learning diagnosis model construction. The method has the advantages of being high in accuracy and free of culture, tissue-specific microbiota still exist in low-biomass tumors, and promising diagnostic value is shown. A large amount of clinical patient sequencing data can be subjected to secondary development and utilization, the accuracy of tumor diagnosis is improved, and the method can be widely applied to prognosis survival evaluation of patients.