45 results about "Genus" patented technology

The invention provides a design method of a specific gene probe for detecting pathogenic microorganisms, and belongs to the technical field of microorganism detection. Comprising the following steps: acquiring reference genome data of target pathogenic bacteria, reference genome data of all species belonging to the same genus as the target pathogenic bacteria and genome data of all strains under the target pathogenic bacteria species; comparing the reference genome data of the target pathogenic bacteria with the reference genome data of all target pathogenic bacteria congeneric species by using MUMmer to obtain all fragments in the reference genome of the target pathogenic bacteria, wherein the base number of the fragments is greater than or equal to 20 when the fragments are continuously compared with the reference genomes of other congeneric microorganisms, and the base number of the fragments is greater than or equal to 20 when the fragments are continuously compared with the reference genomes of other congeneric microorganisms; recording starting base sites and ending base sites of all fragments; breaking a reference genome of the target pathogenic bacteria into a 50nt k-mer set, and filtering out non-specific fragments in the 50nt k-mer set to obtain an initial candidate probe set; filtering the initial candidate probe set to obtain a candidate probe set 3; and filtering the candidate probe set 3 to obtain a specific probe set. According to the design method, the specific probe is directly mined in the genomic data of the pathogenic microorganisms, large-scale probe design work can be competent, the designed probe has excellent resolution, the accuracy of pathogenic microorganism detection can be improved, and accurate detection of the pathogenic microorganisms is achieved.

The invention relates to a construction method and application of a plant intra-genus generic transcriptome, and the method is realized by the following steps: obtaining second and third generation transcriptome data of different species in a genus and performing quality control, comparing a reference genome by using software such as HISAT2 and the like, and screening effective transcripts through gffcomplex after StringTie splicing; transcripts and genes are classified based on the ORF length (mRNA is greater than or equal to 100 aa, small peptide transcripts are from 10 aa to 99 aa, and ncRNA is smaller than 10 aa); the method comprises the following steps: analyzing sequence conservative properties among species through coding genes and non-coding genes, and dividing the genes into core, optional and specific types; and finally integrating and constructing a genus-level generic transcriptome containing three types of transcriptomes. According to the invention, the system construction of the plant intra-genus cross-species pan transcriptome is realized for the first time, the conservative property and difference of protein coding genes, small peptides and non-coding RNA can be analyzed, and a new tool is provided for the research of plant functional genomes.

The invention relates to application and a method of a biological material for regulating and controlling MYB4 gene overexpression in the aspect of improving the yield of pleurotus edible fungi. The biomaterial exerts an effect of increasing the yield of a Pleurotus edible fungus by overexpressing MYB4 in the fungus. Experimental results show that the expression quantity of the MYB4 gene in the overexpression strain is remarkably higher than that of a wild strain, and the yield of the strain with the overexpression MYB4 gene during fruiting is remarkably improved compared with that of the wild strain.

The invention provides a cynaroides cynaroides chloroplast genome and application thereof, and belongs to the technical field of genes. The nucleotide sequence of the cynaros cynaroides chloroplast genome is shown as SEQ.ID.NO.1. The invention provides application of the cynaros cynaroides chloroplast genome in identification of cynaros cynaroides varieties and reconstruction of cynaros phylogenetic trees, and provides technical support for protection of cynaros cynaroides germplasm resources and species identification. According to the invention, the chloroplast genome of the cynaroides is used as a super DNA bar code for identifying the variety of the cynaroides, so that technical support is provided for protection of germplasm resources and species identification, and the application of the chloroplast genome of the cynaroides in variety identification and reconstruction of phylogenetic trees of the cynaroides is realized. The method is of great significance to plant breeding and genetic diversity evaluation, protection and utilization.

This invention provides a method and system for quantitative identification of fluvial and lacustrine facies based on paleontological ecological habit reconstruction, comprising: collecting target samples from a target area within a target well; determining that the target samples do not contain ostracods and gastropods; obtaining the plant species of aquatic plant pollen, the algal species of algal pollen, the quantity of plant pollen of each aquatic plant genus, and the quantity of algal pollen of each algal genus in the target samples; quantitatively calculating paleoenvironmental identification indicators based on the plant species, algal species, plant pollen quantity, and algal pollen quantity; and determining the fluvial and lacustrine sedimentary environment of the target area based on the paleoenvironmental identification indicators. This invention overcomes the drawbacks of traditional qualitative methods that are "highly subjective and rely on experience-based judgment," is more effective, does not require extensive and expensive geochemical analysis and testing, is not limited by specific oxidation / reduction environments of strata or subsequent alterations, and has wider applicability.

The invention discloses monolith microalgae GLY-1 and application thereof, and belongs to the technical field of microalgae biology. According to the invention, a microalga GLY-1 in the genus of monolith is separated from a fresh water river, is determined to be a new species of the genus of monolith through morphological and molecular biological identification, is named as Coelastra haikouensis. GLY-1 in taxonomy, is preserved in China Center for Type Culture Collection on March 24, 2025, and has a preservation number of CCTCC No: M2025579. According to the method, the algae fertilizer prepared by using the microalgae GLY-1 is applied when water spinach seedlings grow, so that water spinach plants can grow higher and thicker, and the yield and quality of the water spinach are remarkably improved. The microalgae GLY-1 is proved to have application potential in the aspects of promoting the growth of crops and increasing the yield and quality of the crops.

This invention provides a trend analysis method (MBE) based on the identification results of microorganisms in production environments. The MBE platform manages the metadata (including room, cleanroom level, sampling method, and planned category) and identification results of microbial samples detected in pharmaceutical, food, and cosmetic production environments. It aggregates data according to specified time units (year, month, day, and batch), analyzes the genus and species ratios of environmental microbial flora and the distribution of metadata within each classification within a given time range, and analyzes temporal changes in the flora from four perspectives: phenotypic classification, genus and species level, bacteria of concern, and community diversity. Frequency analysis is used to analyze the temporal and spatial distribution patterns of the flora, and multivariate statistical analysis is used to analyze correlations between different classifications and between different genera and species. This invention can help identify microorganisms that may have a significant impact on product quality and safety, assess and control microbial contamination risks, and ensure quality and safety.

The present invention provides a method for accurately locating the spawning grounds of schizothoracine fish, comprising: step 1, determining the study area; step 2, determining the sexual maturity stage based on the egg diameter and the stage of gonad development, and then determining whether spawning has occurred based on whether the eggs are emptied and whether the parent fish's anal fin is broken, thereby determining the spawning time; step 3, based on the study area determined in step 1, identifying the river section of the spawning ground of the genus Gymnosoma schizothoracine fish during the spawning period of the genus Gymnosoma schizothoracine fish determined in step 2; step 4, based on the spawning ground section determined in step 3, accurately locating the spawning ground: determining the specific time of spawning within the spawning period obtained in step 2; after determining the specific spawning time, accurately locating the spawning ground of the genus Gymnosoma schizothoracine fish based on the bottom soil differences of the river section of the spawning ground of the genus Gymnosoma schizothoracine fish. The present invention accurately locates the spawning grounds of schizothoracine fish, fills a gap, and provides scientific support for the protection of fish habitats in the source river of the Yangtze River.

Within the scope of this invention, "Fossil Vision Software from Photographs" was developed, which is thought to bring great convenience and innovation to paleontological and stratigraphic studies. By the help of this developed invention, from the photographs of microfossils (single-celled fossils) belonging to the acritarch and chitinozoan groups, it is possible to automatically predict which genus the individual in the photograph belongs to. In micropaleontological studies, the genus and species determination of fossils can be made by experts under the microscope. Fossil identification is a time-consuming and highly specialized process. With this system developed using deep learning and computer vision techniques, these problems are prevented, the margin of error observed in the definitions can be reduced, and it may be sufficient to have a lower level of expertise required during the definitions.

The application relates to application of a biological material related to an SDR32 gene in regulating yield and / or high-temperature tolerance of Pleurotus edulis. The biological material plays a role in improving the yield and / or high-temperature tolerance of the fungus by overexpressing SDR32 in the edible fungus of the genus Pleurotus. Experimental results show that the expression amount of the SDR32 gene in the overexpression strain is significantly higher than that in the wild type strain, the yield of the strain overexpressing the SDR32 gene during fruiting is significantly improved compared with the wild type strain, and the high-temperature tolerance of the strain overexpressing the SDR32 gene is significantly enhanced compared with the wild type strain.

The invention discloses a strain identification method based on a 16S rRNA (ribosomal Ribonucleic Acid) hypervariable region. According to the invention, a plurality of hypervariable regions of 16S rRNA are integrated, the distinguishing ability of specific strains in different variable regions and other strains belonging to the same genus is researched through a molecular evolutionary tree method, and finally, the combination of different hypervariable regions can be found, so that the purpose of identifying the specific strains at the species level is achieved.

The invention provides a strain of Reichenach sp. H6 and application thereof, the strain has a 16S rRNA gene sequence as shown in SEQ ID NO: 1, is preserved in Guangdong Microbial Culture Collection Center, and has a preservation number of GDMCC No: 66012. The invention also provides a method for preparing the strain of Reichenach sp. H6 and application thereof. The strain is mainly used for enhancing the heat tolerance of the coral. The screened strain is clear in classification status and excellent in hereditary stability, has broad-spectrum complex polysaccharide degradation capacity, and still keeps core biological characteristics after five generations of passage. The strain has a remarkable regulation and control effect on coral co-epiphytic bacterial colony microecology, and the content of metabolites with inhibitory activity on pathogenic vibrios in coral microecology can be remarkably increased; the method is high in environmental adaptability, has a remarkable physiological status relieving effect on corals under heat stress, and can effectively improve core survival indexes of the corals under heat stress.

The present invention provides a pollen detection method and system based on pollen scanning slides, relating to the technical field of image processing. The method includes: obtaining pollen scanning slides; establishing a pollen detection model based on the rtmdet network; inputting the pollen scanning slides into the pollen detection model to output the coordinates, width, and height of the target pollen; determining a cropped image of the target pollen according to the coordinates, width, and height of the target pollen; establishing a pollen filtering model; inputting the cropped image into the pollen filtering model to output the coordinates, width, and height of the clear pollen; determining a cropped image of the clear pollen according to the coordinates, width, and height of the clear pollen; establishing a family and genus classification model; inputting the cropped image of the clear pollen into the family and genus classification model to determine the family and genus category of the clear pollen; counting the number of pollen of each family and genus category and the total number of pollen on the pollen scanning slides to complete pollen detection. The present invention can improve the efficiency and accuracy of pollen detection.

The invention relates to the technical field of bioinformatics, and discloses a fungus multi-gene conjoint analysis method, system, equipment and medium. Target sequence data of a fungus sample to be identified are obtained, and an accurate sequence comparison reference library for each target marker gene is constructed in real time by using an original reference sequence; and accurate multi-sample multi-gene paired sequence comparison and sibling sequence acquisition are carried out to finally construct a multi-gene phylogenetic tree, so that comprehensive species identification is realized, and the accuracy and efficiency of species identification are remarkably improved. The method supports multi-sample accurate identification, does not need to predict the range of the sample family in advance, has expansibility of other biological groups, can realize rapid and accurate identification, can be widely applied to scenes with accurate and rapid identification requirements, and is high in practicability. The method comprises import and export pathogenic bacteria quarantine, food pathogenic bacteria monitoring, biological safety, production process of biological products and the like.

The invention discloses a specific target sequence, a primer pair and a kit for identifying fusarium species based on a time-precious method, application of the specific target sequence, the primer pair and the kit and a species identification method, and accurate identification of fusarium related species can be achieved based on species specific sequences obtained through analysis and screening of all genomes of fusarium. The species identification method disclosed by the invention is strong in specificity, high in sensitivity and multiple in detection technology, can realize rapid identification of species, has important significance in medicinal material fungal pollution detection and agricultural disease control, and has a wide application prospect.

The invention provides a method and a device for determining a reference value of dissolved oxygen in a water environment. The method comprises the following steps: determining a species average acute value and a species average chronic value corresponding to each tested species, and a genus average acute value and a genus average chronic value of the genus of the tested species; the genus average acute values and the genus average chronic values are ranked according to the toxicity sequence from high to low, and ranks are distributed to the genus corresponding to the ranked genus average acute values and the genus corresponding to the ranked genus average chronic values; determining final acute values and final chronic values of all tested species; and respectively determining an acute dissolved oxygen reference concentration, an acute dissolved oxygen reference saturation, a chronic dissolved oxygen reference concentration and a chronic dissolved oxygen reference saturation based on the obtained final acute value and the final chronic value. The method can provide reference for scientific evaluation of water quality and aquatic organism protection.

Avian coccidiosis is a disease caused by an intracellular parasitic protozoan of the genus Eimeria, which induces lesions in the gastrointestinal tissues of birds due to its replication. The process of qualifying an oocyst is almost entirely manual, using, in particular, the optical microscope counting technique, in which each identified object must be classified as sporulated or non-sporulated, stained or unstained. For the identification process, the method used is PCR (polymerase chain reaction), in which the presence of each species is detected, but without identifying each oocyst. This manual process is time-consuming and susceptible to errors. The method proposed herein introduces a computer vision model, based on Artificial Intelligence, capable of automating this classification process. The model analyzes samples and provides quantitative results, including the classification of oocysts into the categories of sporulated, non-sporulated, stained, and unstained, as well as the identification of Eimeria species (acervulina, brunetti, maxima, mitis, necatrix, praecox, or tenella). This computational model is entirely based on machine learning and is capable of identifying the presence of oocysts in a sample (image), classifying each identified oocyst into categories such as sporulated or non-sporulated, stained or unstained, quantifying the objects in each category, and identifying the Eimeria species.

The application relates to application and methods of a biological material for regulating overexpression of a MYB4 gene to improve yield of an edible fungus of the genus Pleurotus. The biological material plays a role in improving the yield of the edible fungus of the genus Pleurotus by overexpressing MYB4 in the edible fungus of the genus Pleurotus. Experimental results show that the expression amount of the MYB4 gene in the overexpression strain is significantly higher than that in the wild type strain, and the yield of the overexpression MYB4 gene strain during mushroom production is significantly improved compared with the wild type strain.

The invention discloses a construction method of a primer multi-dimensional quality scoring model, and a design method and equipment of specific primers, and relates to the technical field of bioinformatics and molecular detection. The construction method of the primer multi-dimensional quality scoring model comprises the following steps: extracting features of candidate primers of a target species or genus, dividing the features of the candidate primers into a training set and a verification set, and calculating a comprehensive quality score for each candidate primer of the training set; constructing a primer multi-dimensional quality scoring model of the target species or genus; and verifying the primer multi-dimensional quality scoring model through a verification set. Through an automatic and high-throughput calculation method, the problems of specificity, efficiency and verification of primer design in a complex microbial environment are solved, and an efficient and reliable tool is provided for research of microorganisms and even animals and plants.

The present application relates to the field of plant molecular biology and genetic engineering technology, and particularly relates to a transient expression method of orchid plants and application. The method provided by the present application successfully breaks through the infection barrier of the thick cuticle of orchid plants by optimizing the core parameters of vacuum-assisted Agrobacterium infection, screening the infection strains and optimizing the composition of the infection solution. The high activity of the leaf cells can be maintained for more than 9 days after infection, and the exogenous genes can realize stable and efficient expression. The method provided by the present application is simple to operate, does not require special instruments and equipment, is convenient to obtain materials, is not limited by the flowering season, can be carried out throughout the year, and the complete experimental cycle can be completed within 7 days. The present application effectively solves the long-standing technical problems in the field of genetic transformation of orchid plants, and provides an efficient and convenient gene function transient verification technology platform for the functional genomics research, gene function verification, promoter activity detection and precise molecular breeding of orchid and other orchid plants.

The invention discloses application of a euonymus grandiflorus chloroplast genome and an euonymus grandiflorus species identification method, and belongs to the technical field of gene detection and analysis. The invention discloses a complete euonymus macranthus chloroplast genome for the first time, the complete euonymus macranthus chloroplast genome is formed by sequentially splicing 25 continuous nucleotide fragments as shown in SEQ ID NO. 1 to SEQ ID NO. 25, the evolutionary status of the complete euonymus macranthus chloroplast genome in euonymus genus is analyzed through a phylogenomics method, and a molecular basis is provided for taxonomic dispute of the genus species. The molecular identification technology based on chloroplast genome nucleotide sequence comparison can efficiently distinguish the euonymus myrianthus and related species, and breaks through the limitation of traditional morphological identification. Besides, by constructing a multi-species phylogenetic tree of the euonymus, the phylogenetic position of the euonymus grandiflorus is defined, and a genomics basis is provided for genetic diversity research, germplasm resource protection and cross breeding of plants of the euonymus.

This invention discloses a DNA barcode sequence and its applications, belonging to the field of microbial identification technology. This invention provides a method for identifying *Tomato Canker* pathogens. Clavibacter michiganensis A novel DNA barcode sequence with high specificity for identification. Phylogenetic analysis showed that in the phylogenetic tree constructed based on the DNA barcode sequence described in this invention, all tested species formed independent monophyletic groups with high support. Further sequence alignment analysis showed that the amplified sequences of each species all possessed their unique SNP sites. These results confirm that the DNA barcode provided by this invention can accurately distinguish *Tomato Canker* pathogens. Clavibacter michiganensis It can also effectively identify Clavibacter The other species within the genus demonstrate its strong species-level resolution.

The invention belongs to the technical field of phoebe wood identification, and relates to a bar code for identifying phoebe wood and an identification method, the bar code comprises a rpl32-trnLUAG bar code, a ycf1 bar code and a rpl32-trnLUAG + ycf1 combined bar code, the sequence of the rpl32-trnLUAG + ycf1 combined bar code is shown as SEQ ID NO.5-9, the rpl32-trnLUAG + ycf1 combined bar code is used for identifying phoebe zhennan, phoebe tenuifolia, phoebe bournei, phoebe sheareri and phoebe chekiangensis in phoebe, and the primer sequence of the rpl32-trnLUAG + ycf1 combined bar code is shown as SEQ ID The method for identifying the phoebe wood adopts the rpl32-trnLUAG and ycf1 bar codes, and identifies phoebe zhennan, phoebe bournei, phoebe sheareri and phoebe zhejiangensis in the phoebe on the basis of SeqMan software and a phylogenetic evolutionary tree method. The bar code for identifying the phoebe wood, provided by the invention, has richer sequence information sites, so that the species identification capability is improved, and accurate identification of five types of phoebe wood with extremely close structural characteristics is realized.

Within the scope of this invention, the "Fossil Vision Software from Photographs" was developed, which is intended to be a great relief and innovation for paleontological and stratigraphic studies. With the help of this invention, it is possible to automatically predict the genus to which the individual in the photo belongs based on photographs of microfossils (single-celled fossils) from the groups Acritarcha and Chitinozoa. In micropaleontological studies, the genus and species identification of fossils can be performed by experts under the microscope. Fossil identification is a time-consuming and highly specialized process. With this system, developed using deep learning and computer vision techniques, these problems are avoided, the margin of error in definitions can be reduced, and a lower level of expertise can be required for definitions.

The invention relates to the field of biological identification, and particularly discloses a DNA bar code for identifying pennisetum plants and application thereof.The DNA bar code comprises a section of specific nucleotide sequence of a chloroplast gene spacer psbA-trnH, screening finds that the section has enough variation sites between pennisetum species and is highly conservative in the species, and the section of specific nucleotide sequence can be used for identifying the pennisetum plants. Different species of pennisetum, such as pennisetum purpureum, Yu-grain and the like, can be effectively distinguished; the invention further comprises a specific primer pair for amplifying the bar code, a PCR kit containing the primer pair and application of the PCR kit in species identification, genetic relationship analysis, seed purity inspection and Chinese herbal medicine source tracing of the pennisetum plants. The method has the advantages of being high in identification speed, high in accuracy, good in repeatability, free of influences of plant development stages and the environment and the like, and the problems faced by a traditional morphological identification method are solved.

The present invention provides a plant invasion risk assessment method, device, equipment, storage medium and product. The method comprises: determining the genetic distance between an ITS sequence of a plant to be assessed and an ITS sequence of a target sample; obtaining a target climate factor of the plant to be assessed; inputting the target climate factor of the plant to be assessed into a maximum information entropy model, and obtaining a potential suitable zone prediction result of the plant to be assessed at the location to be assessed output by the maximum information entropy model; determining the invasive risk of the plant to be assessed based on the genetic distance and the potential suitable zone prediction result, thereby using the target climate factor as a model input parameter, reducing the error between the result output by the model and the actual result, and calculating the genetic distance through the ITS sequence of the target sample belonging to the same genus as the plant to be assessed, thereby achieving a more rapid and effective determination of the invasive risk of the plant to be assessed.

The present application relates to the technical field of nucleic acid detection, and discloses a general primer pair for detecting the genus of Segniliparus and application thereof. The detection primer pair and identification method provided by the present application are applicable to all species of the genus of Segniliparus, including but not limited to Segniliparus rugosus, and especially unnamed ANI species. The amplification method provided by the present application has low requirements for templates, and is applicable to clinical original samples such as sputum, alveolar lavage fluid, pleural and peritoneal fluid, culture, and environmental original samples such as water, soil and air, and extracted nucleic acid, and does not depend on culture. The method is fast and low-cost, and has low requirements for equipment and detection personnel, and is applicable to laboratories at all levels. The detection reagent based on the present application can be widely applied to related fields such as environmental monitoring, clinical precise detection and epidemiological research.

The present invention relates to a method for transforming a strain of the Lactococcus genus through natural competence. The present invention further relates to strains obtained or obtainable by said method. The present invention also relates to a method for identifying a strain of the Lactococcus genus which is transformable through natural competence.

The invention relates to the technical field of intelligent image classification, in particular to a fine-grained perforated worm classification method based on an attention mechanism, and the method comprises the following steps: S1, collecting image data of perforated worms of different genus levels and species levels; s2, preprocessing the perforated insect image data to obtain a preprocessed image; s3, performing feature extraction to obtain a multi-scale feature map; s4, performing weighted operation on the multi-scale feature map to generate attention weighted features; s5, the attention weighted features are input into a classifier, and prediction probability vectors of all genus species are output; and S6, selecting the fine-grained category corresponding to the maximum value as a final classification result. According to the method, through multi-scale feature fusion and a double attention enhancement mechanism, the key structure of the holed insect shell is precisely highlighted, so that the accuracy and the stability of genus-species-level fine-grained classification are remarkably improved.

The present invention relates to a method for constructing a pan-transcriptome within a plant genus and its application. The method is achieved by the following steps: obtaining and quality-controlling second- and third-generation transcriptome data from different species within the genus, aligning to a reference genome using software such as HISAT2, and screening for valid transcripts using gffcompare after StringTie splicing; classifying transcripts and genes based on ORF length (≥100 aa for mRNA, 10-99 aa for small peptide transcripts, and <10 aa for ncRNA); analyzing interspecies sequence conservation using coding and non-coding genes, and classifying genes into core, optional, and specific types; and finally integrating and constructing a genus-level pan-transcriptome encompassing these three transcriptome types. This method, for the first time, systematically constructs a cross-species pan-transcriptome within a plant genus, enabling analysis of the conservation and diversity of protein-coding genes, small peptides, and non-coding RNAs, providing a new tool for plant functional genomics research.