1900 results about "Organism" patented technology

The invention provides bacillus and application thereof, the bacillus is preserved in Guangdong Microbial Culture Collection Center on June 6, 2025, and the preservation number is GDMCC No.66483; one application of the bacillus is to prepare a preparation for promoting growth and / or resisting diseases of plants, and the other application is to use the bacillus for inhibiting microorganisms; the bacillus can effectively and enduringly inhibit the growth of phytopathogen, and can be used as a broad-spectrum antibacterial biological antibacterial agent to enhance the resistance of plants and promote the growth of the plants.

The invention relates to the field of microbial communities, and discloses a bioinformatics-based microbial community dynamic monitoring method, which comprises the following steps: acquiring high-frequency acquisition data based on a trace sample, constructing a microbial data stream for time sequence analysis, and carrying out rapid metagenome marker amplification on each sampling unit in the data stream, obtaining a preliminary feature matrix; based on the co-occurrence frequency of the microbial functional genes in the preliminary feature matrix, constructing a multi-dimensional feature mapping graph; performing real-time mode recognition on the flora abundance change trend based on the dynamic fluctuation region; aiming at the key dynamic signal segment, adopting a distributed clustering method based on variation information entropy regulation and control to reconstruct the evolution trajectory of the flora, and generating a flora time sequence behavior vector set; and based on the flora time sequence behavior vector set, performing dynamic alignment with a pre-constructed reference model by using a multi-scale trend matching algorithm. The method has the advantages of high timeliness and automatic processing capability.

The invention discloses a marine fishery resource survey station adaptive optimization method based on a space-time coupling model. According to the method, a space-time continuous species distribution dynamic reference field is constructed by coupling a Bayesian hierarchical species distribution model and a regional ocean model system; performing ecological layering based on time, space and environment dimensions; and when the environment variables change significantly, a habitat suitability index is dynamically reconstructed, and the station layout is optimized again, so that the coverage of a key ecological hot spot area is ensured, and the in-gradient representativeness is maintained. The method has the advantages of fast environmental response, strong spatial representativeness, high adaptability and the like, and is suitable for scenes of resource assessment, ecological protection, biodiversity monitoring and the like.

The invention provides a biodiversity influence comprehensive evaluation method and system based on multi-source ecological factors, and relates to the technical field of biodiversity analysis, and the method comprises the steps: obtaining multi-source ecological factor data of a geological disaster control influence region, and carrying out the maximum likelihood estimation and kernel function learning processing of the multi-source ecological factor data to obtain a space-time intensity field; performing adaptive time-frequency decomposition processing based on the time-space intensity field and the time sequence of the community functional traits to obtain a multi-scale modal set; performing low-rank dynamic recognition processing on the multi-scale modal set to obtain an approximate operator and control gain pair; performing sparse regression modeling processing to obtain a nonlinear state equation set; and carrying out distribution displacement measurement processing based on the nonlinear state equation set and preset quadrat baseline distribution to obtain a comprehensive evaluation result of the biodiversity influence. According to the method, the problems of single index, rough modeling and lack of multi-scene prediction capability in the prior art are solved.

The invention discloses a marine ranching raising site selection method and system, applied to the field of data processing, and the method comprises the steps: obtaining seabed environment parameters of each target sea area; based on the time sequence change information of the submarine environment parameters, at least obtaining a temperature field distribution result and a biological field distribution result; determining full life cycle information of a to-be-bred object, and determining a corresponding growth demand parameter set; performing space-time matching analysis on the temperature field distribution result, the biological field distribution result and the growth demand parameter set, and calculating a comprehensive raising index corresponding to each target sea area; and obtaining a site selection decision result of each target sea area at least based on the shipping channel information, the ecological protection information and the corresponding comprehensive raising index of each target sea area. According to the marine ranching raising site selection method provided by the invention, scientific and effective marine ranching raising site selection can be realized by comprehensively considering seabed time sequence sensing data, biological image analysis and full life cycle requirements of cultured objects and combining a multi-objective optimization algorithm.

The invention relates to the technical field of marine ecological environment monitoring and data analysis, and particularly discloses a sea area phytoplankton biodiversity index prediction method and system based on multi-model integration and feature engineering. After preprocessing, constructing four groups of nonlinear interaction characteristics of a temperature-salt relationship, oxygen-salt balance, chlorophyll chemical oxygen demand coupling and a nitrogen-phosphorus ratio based on environmental factors, combining station characteristics with basic environment and interaction characteristics, carrying out variance threshold screening, inputting a characteristic set into a multi-model integration framework containing models such as linear regression and gradient lifting, and carrying out multi-model integration; training and tuning according to a time sequence segmentation strategy, selecting model output according to a decision coefficient, using a result if the decision coefficient of the support vector regression model is within a preset range, and otherwise, taking a gradient lifting and extreme gradient lifting tree model to predict a mean value. And the prediction accuracy and the model generalization, stability and reliability are improved.

The invention provides a digital twinborn monitoring, regulating and controlling method for a copepod bait biological domestication process. The method comprises the following steps: establishing a micro-ecology and population dynamics coupled twinborn model, and defining a monitoring parameter and control object unified term system; collecting multi-source sensing data at an edge end, and performing clock synchronization, signal denoising and state estimation to obtain a micro-ecology, group and water body state joint estimation result; executing parameter online identification based on state estimation, and constructing a safety constraint set of ammonia nitrogen, dissolved oxygen, death rate, environment change rate and the like; the breeding efficiency improvement and the system stability balance are realized through a multi-objective optimization function; and generating a micro-ecological pulse and environment gradual change cooperative control action set according to a solving result, and when a set condition is met, outputting a domestication prescription and terminating the process. Intelligent, low-stress and high-stability regulation and control of a copepod domestication process are realized through digital twin modeling, rolling predictive control and a self-evolution updating mechanism.

The invention provides a wild animal and plant species identification method, which comprises the following steps: preprocessing collected biological data and environmental data associated with a target species to obtain to-be-analyzed data, the biological data comprising an image, an audio and positioning data associated with the target species, the environment data comprises meteorological and physical environment data associated with the living environment of the target species, and the target species are wild animals or wild plants; performing feature extraction on the to-be-analyzed data, and aligning the extracted multi-modal features based on time; based on the dynamically adjusted weight of each modal feature, performing feature fusion on the aligned multi-modal features to generate a comprehensive feature vector of the target species; and processing the comprehensive feature vector based on the target large model, obtaining at least one species name of the target species and the confidence of each species name, and determining a final name based on the confidence. According to the method, environment feature processing and dynamic weight adjustment mechanisms are introduced, so that species identification can be intelligently and accurately carried out.

The invention relates to the technical field of water quality monitoring, in particular to an aquaculture water quality monitoring and self-adaptive regulation and control platform and method.The aquaculture water quality monitoring and self-adaptive regulation and control platform comprises a data processing module used for obtaining water quality parameter data of aquaculture at multiple monitoring points and multiple time points and conducting preprocessing and time sequence serialization fitting on the water quality parameter data to obtain a data processing module; obtaining a water quality parameter time sequence; the feature extraction module is used for carrying out space-time semantic recognition and feature extraction on the water quality parameter time sequence and constructing a feature sequence of each water quality parameter; and the risk early warning module is used for carrying out inter-parameter space-time correlation calculation and dynamic risk threshold value adaptation according to the feature sequence to obtain water quality risk early warning features. By combining the water quality parameters and the culture organism state data, the system can accurately evaluate the risk level of the water quality, timely warn potential risk factors, help a culturist to take effective precautionary measures, and avoid the death or health problem of the culture organism.

The invention relates to the technical field of biological breeding, in particular to a biological breeding management method and system based on big data. The method comprises the following steps: acquiring original germplasm data; multi-source heterogeneous data integration is carried out on the original germplasm data, the data integration comprises genotype sequencing integration and historical phenotype integration, and integrated germplasm data is generated and stored in a database in a distributed mode; obtaining original growth data, performing data preprocessing, generating standardized germplasm resource comprehensive data including a crop image feature set and an environment response parameter set, and synchronizing the data to the database; and performing whole genome selection prediction on the integrated germplasm data based on the standardized germplasm resource comprehensive data to generate a genotype-phenotype prediction model. By integrating germplasm resources, field management, breeding management, phenotype management, genotype management and whole genome selection, the accuracy and adjustment flexibility of biological breeding management are improved.

The invention provides common bacteroides and application thereof. Specifically, a strain of common bacteroides capable of producing 3-indolepropionic acid is separated from human feces for the first time, and the strain of common bacteroides is preserved in the China General Microbiological Culture Collection Center (CGMCC) on April 25, 2025, and the preservation number is CGMCC NO.46398. The strain of common bacteroides can be used for producing 3-indolepropionic acid, and the strain of common bacteroides can be used for producing 3-indolepropionic acid. Furthermore, the invention provides an application of the common bacteroides disclosed by the invention in production of 3-indolepropionic acid. Furthermore, the invention provides a method for producing the 3-indolepropionic acid by using the common bacteroides disclosed by the invention, and an application of the common bacteroides disclosed by the invention in increasing the content of the 3-indolepropionic acid in an organism.

The invention discloses a method for constructing an evaluation model for the influence of climate change on biodiversity, and particularly relates to the technical field of ecological modeling and climate response analysis. The method comprises the following steps: generating a high-resolution characteristic grid based on microclimate disturbance data and a remote sensing image, extracting ecological plaques and establishing a heterogeneity spatial index model, constructing a connectivity map and a coupling response path library, extracting a typical species response mode by using nonlinear dimension reduction and spectral clustering, and performing dynamic fitting in combination with biological survey data. And finally, generating a diversity attenuation trend prediction curve and a risk thermodynamic diagram, identifying a biodiversity collapse critical point and outputting an intervention priority, and the method can be widely applied to regional ecological early warning and protection planning.

The invention relates to a microbial agent prepared based on a new strain of bacillus velezensis, which has the function of broad-spectrum antagonism of common pathogenic bacteria of aquatic products and can effectively prevent and / or treat bacterial diseases and / or fungal diseases of aquatic organisms including crustaceans and fishes. Meanwhile, the content of nitrite and ammonia nitrogen in aquaculture water can be effectively reduced, and the usage amount and residual quantity of antibiotics and chemical drugs in aquaculture are reduced.

The present invention, among other things, provides technologies for detecting and / or quantifying nucleic acids in cells, tissues, organs, or organisms. Pre-designed barcodes are associated with specific molecular targets through sequential hybridization experiments. A pseudo-color based barcoding scheme is described that overcomes the limitations in the previous generation of the technology. The current method can be applied to both in vitro and in situ analysis.

The present disclosure provides proteins useful for preventing, treating, suppressing and / or eliminating infestations and infections of plants by various phytopathogenic pests, as well as formulations comprising such proteins, polynucleotides encoding such proteins, organisms expressing such proteins, and methods of using such proteins, formulations, polynucleotides and organisms in agriculture and other fields of endeavor.

The invention provides a low-carbon modular artificial wetland system and a carbon sink collaborative purification method thereof, and relates to the technical field of artificial wetlands, the low-carbon modular artificial wetland system comprises a modular box body, and a water inlet layer, a carbon sink layer and a purification layer which are sequentially arranged in the modular box body from top to bottom; the water inlet layer is used for filtering suspended matters through coarse sand; the carbon sequestration layer is used for adsorbing carbon dioxide through biochar and carbon sequestration microorganisms, and meanwhile, the carbon sequestration capacity is enhanced through the plant-microorganism synergistic effect; the purification layer is used for purifying a water body through an iron-based phosphorus removal material and a zeolite denitrification filler. The technical problems of low-carbon material selection, carbon sink potential excavation, renewable energy source coupling and greenhouse gas emission inhibition of an existing constructed wetland system are solved, the technical effects of efficient sewage purification and carbon emission reduction are achieved, and a carbon emission reduction closed loop of the whole life cycle is achieved.

The invention provides a terrestrial ecosystem service function monitoring and evaluation method, and the method comprises the steps: generating a biological feature vector and an environment feature vector according to biological data and environment data collected in an ecological protection region; performing species identification on the biological feature vector based on a biological large model, performing environment analysis on the environment feature vector based on an environment large model, and obtaining animal and plant information and environment quality evaluation conditions in the ecological protection area; and based on an ecological system evaluation model, carrying out comprehensive reasoning analysis on the organisms, the environment, the comprehensive feature vectors, animal and plant information in the ecological protection area and environment quality evaluation conditions, and evaluating an ecological system service function of the ecological protection area. Wherein the comprehensive feature vector is determined based on the fusion of the biological feature vector, the environment feature vector and the dynamically adjusted weight. According to the method, the overall ecological condition of the ecological protection area can be more comprehensively understood by adopting a large model technology, and more comprehensive, accurate, dynamic and scientific ecological system service function evaluation is provided.

The invention relates to the technical field of soilless culture substrates, in particular to a soilless culture substrate based on biochar and mushroom dreg resource utilization and a preparation method and application of the soilless culture substrate. The soilless culture substrate comprises the following raw materials in parts by mass: 30-50 parts of mushroom dregs, 20-30 parts of charcoal, 10-15 parts of vermiculite, 8-12 parts of perlite, 5-10 parts of humic acid and 2-5 parts of trace elements. The soilless culture substrate can effectively utilize biochar and mushroom dreg resources, provides a good physical environment and sufficient nutrient supply for plant growth, improves the stress resistance and yield quality of plants, reduces dependence on traditional non-renewable substrate resources, and reduces the pressure of agricultural wastes on the environment.

Microparticles for detecting biological materials are provided. Each of the microparticles includes: a core-shell structured microparticle consisting of a core including a magnetically responsive metal and a shell layer surrounding the core and having a uniform thickness; and capture probes introduced onto the shell layer to capture biological materials.

The present invention relates to the field of genetic engineering. Specifically, the present invention relates to cytosine deaminase and use thereof in base editing. More specifically, the present invention relates to a base editing system based on a newly identified cytosine deaminase, a method for base editing a target sequence in the genome of an organism (e.g., a plant) using the base editing system, and a genetically modified organism (e.g., a plant) produced by the method and progenies thereof.

The invention relates to the technical field of biological coast evaluation, in particular to a shellfish reef artificial biological coast construction effect evaluation method and a shellfish reef artificial biological coast construction effect evaluation system. According to the expected construction requirement of the shellfish reef artificial biological coast, multiple capture channels are obtained through evolution tensor decomposition in the dynamic evolution simulation model, the capture channels are used for evaluating and analyzing the construction effect of the target biological coast, and the current revetment inhabiting effect, revetment development capacity and shellfish reef life quality of the target biological coast are obtained; fitting and evaluating the inhabitation effect of the current revetment, the development capability of the revetment and the life quality of the shellfish reef through polar coordinates of a multi-dimensional evaluation polar map frame, and performing standard grade judgment to generate a construction effect evaluation result of the artificial biological coast of the shellfish reef. According to the method, a shellfish reef construction effect quantitative evaluation system taking the revetment inhabiting effect, the revetment development capability and the shellfish reef life quality as three dimensions can be constructed, and the rationality and scientificity of shellfish reef artificial biological coast construction effect evaluation are improved.

The invention provides a method for measuring particle granularity and morphology, and belongs to the technical field of process mineralogy. According to the method, the particle size of the particles is analyzed on the basis of particle centroids in combination with geometric and statistical parameters, and meanwhile, morphological characteristics of the characterization particles are analyzed. A specific particle size measurement result is an equivalent radius result based on the centroid and can directly reflect the overall size of the particles, and further, a morphological characteristic result is based on centroid distance statistics and can quantify irregularities of the particles, such as roundness, length-diameter ratio and roughness; according to the test method, measurement is carried out on a two-dimensional plane, the measurement result is not influenced by a selected direction, accurate granularity and morphology characterization can be provided for particles with complex morphology (such as a dendritic or porous structure), and a reliable test method is provided for analysis of complex particle systems (such as geological sediments, industrial powder or biological particles).

The invention discloses a multi-nutrition-level ecological breeding system suitable for freshwater fish breeding, the ecological breeding system comprises a breeding variety combination level and an ecological niche complementary variety combination level, the multi-nutrition-level ecological breeding system has the beneficial effects that efficient utilization of resources and self-regulation of an ecological environment are realized by constructing a multi-species coordinated three-dimensional population structure; through the arrangement of the breeding variety combination level and the ecological niche complementary variety combination level, breeding objects of different nutrition levels are mutually supplemented and mutualistic, so that the productivity of the breeding system is improved, and the anti-risk capability of the system is also enhanced; the system integrates a plurality of functional modules, through application of technologies such as digital monitoring and remote control modules, real-time monitoring, abnormity early warning and remote control of the breeding environment are achieved, the water quality dynamic regulation and control module and the feeding planning module can precisely regulate and control water quality parameters and feeding plans according to growth requirements and environment changes of bred organisms, and the breeding efficiency is improved. And feed waste and water quality pollution are effectively reduced.

The invention provides a key species population spatial distribution quantification method and system in a complex ecological system, and the method comprises the steps: carrying out the feature extraction of biological and environmental data collected in a target ecological region, and carrying out the fusion of the extracted multi-modal features, and generating a comprehensive feature vector; based on the target large model, analyzing the comprehensive feature vector, identifying species in the target ecological region, and obtaining species identification information of each species; based on the species identification information and the comprehensive feature vector corresponding to the target ecological region, quantifying a species population space distribution condition, and generating species population quantification information at least comprising a population distribution diagram, a population density diagram and a population dynamic change diagram; and based on the species population quantitative information and the collected original data, generating and displaying a quantitative report. According to the method, the species can be intelligently, efficiently and accurately identified based on the large model, the distribution condition and dynamic change of the species can be visually displayed, a quantitative report is provided, and a powerful basis is provided for ecological protection and management.

The invention relates to the technical field of mangrove forest protection, in particular to a forest protection fence based on biophysical coordination and a prevention and control method thereof.The forest protection fence comprises a plurality of supporting components and an annular protection screen body, the multiple supporting components are arranged around target plants and form an annular supporting system, and each supporting component comprises a supporting rod and an expansion supporting assembly; the supporting rods are vertically arranged, the lower ends of the supporting rods can be inserted into a soil layer, the extension supporting assemblies are arranged on the supporting rods and can partially enter the position below the soil layer along with the supporting rods, and the extension supporting assemblies between every two adjacent supporting components can be connected in a matched mode. The annular protective screen body is connected with the annular supporting system and at least partially extends below the soil layer; through cooperation of the supporting component and the annular protective screen body, benthonic organisms around the target plant can be limited to move in the preset area, and growth of the target plant is assisted through movement of the benthonic organisms. According to the technical scheme, the growth of the target plant is protected by virtue of the cooperation of benthic organism activity, the supporting component and the annular protective screen body.

The invention relates to the technical field of aquaculture, in particular to nile tilapia ferritin, a preparation method and application thereof and a bacteriostatic agent. The amino acid sequence of the nile tilapia ferritin is as shown in SEQ ID No.1, and the nile tilapia ferritin inhibits streptococcus agalactiae and / or aeromonas hydrophila. The invention provides Nile tilapia ferritin, and in-vitro experiments prove that the recombinant protein can effectively inhibit proliferation of pathogenic bacteria. A further in-vivo experiment research result shows that the ferritin heavy chain (Nile tilapia ferritin) has important functions of inhibiting pathogenic bacterium proliferation and improving the survival rate of an organism, and plays an important role in immune protection of the organism.

The present invention discloses a strain of Stutzerimonas kunmingensis and its application in water denitrification, relating to the field of biotechnology. The Stutzerimonas kunmingensis was deposited in the General Microbiology Center (CGMCC) of the China Culture Collection of Microorganisms on April 24, 2024, with a deposit address of No. 3, Yard No. 1, Beichen West Road, Chaoyang District, Beijing, and a deposit number of CGMCCNO.30427. The present invention isolated and obtained Stutzerimonas kunmingensis 9‑4 from a water sample of a crucian carp recirculating aquaculture system. The strain has a good removal effect on nitrate nitrogen, nitrite nitrogen and ammonia nitrogen in the water environment. At the same time, adding hematite under light conditions can significantly improve the removal rate of nitrate nitrogen, nitrite nitrogen and ammonia nitrogen by the Stutzerimonas kunmingensis, which can be applied to the removal of nitrate nitrogen, nitrite nitrogen and ammonia nitrogen in aquaculture water environment and aquaculture tail water.

The invention belongs to the technical field of microorganisms and fermentation engineering, and particularly relates to application of bifidobacterium longum subsp. Infantis Y46 in the aspects of enhancing cell defense and repair and regulating metabolic homeostasis of a host. The strain is isolated from infant feces. Animal experiments prove that living cell thalli of the bifidobacterium longum subsp. Infantis Y46, which are obtained by culturing an MRS liquid culture medium added with L-cysteine hydrochloride (0.05%, v / v), can significantly enhance the oxidative stress resistance of an organism and reduce the level of active oxygen in the organism compared with a control bacterium bifidobacterium longum subsp. Infantis 15697. Transcriptomics analysis shows that the bifidobacterium longum subsp. Infantis Y46 can enhance self-protection of cells and improve physiological imbalance caused by external pressure by regulating related signal channels of an organism. The action mechanism is closely related to signaling pathways related to cell defense, metabolic homeostasis and barrier functions. The invention provides a new strain resource and an application scheme for developing functional food or medicinal preparations for enhancing the health defense function of a human body.

The invention discloses application of bifidobacterium adolescentis CCFM1302 in promoting synthesis of host collagen, and belongs to the technical field of microorganisms and medicines. The metagen of the bifidobacterium adolescentis CCFM1302 disclosed by the invention has a good effect of regulating and controlling synthesis and degradation of collagen, the moisture and elasticity of the skin are improved, the antioxidant capacity of the skin is improved, the inflammation level of an organism is reduced, and the stable state of collagen is maintained. The method specifically comprises the following steps: in vitro promoting the enzyme activity of HSF cell LH1 by a thallus lysate, inhibiting the enzyme activity of MMP-3, increasing the content of COL I and COL III and the enzyme activity of LH1, P4H and LOX from the outside of a fermented supernatant, and inhibiting the enzyme activity of MMP-3; the inactivated thalli are orally taken to increase the collagen content and the enzyme activity of LH1 and inhibit the enzyme activity of MMP-1 and MMP-3; the fermentation supernatant is orally taken to inhibit enzyme activity of MMP-3 and MMP-1 and degradation of collagen, and the content of TGF-beta is increased.