27 results about "Genus" patented technology

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.

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 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 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.

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.

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 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 novel method for feeding and controlled release of biological control agents. The present invention discloses a feeding composition comprising a predatory mite population capable of oviposition at least two generations comprising at least one mite species of the genus Phytoseiulus, and a fed mite population comprising at least one species from abbreviaceae and optionally from Phytoseiidae. Methods for feeding the same are also disclosed.

The application provides a microfossil genus and species intelligent identification method and device and computer equipment, and belongs to the technical field of microfossil genus and species identification. The method comprises the following steps: acquiring images of microfossils at different shooting angles; inputting the images into a genus and species identification model to identify the genus and species of the microfossils. The genus and species identification model is used for respectively extracting features from the images of the microfossils at different shooting angles, fusing the extracted features according to a preset fusion rule, and classifying the genus and species by using the fused features. The fusion rule comprises at least one of fusion of first convolutional deep features extracted from the images of the microfossils at different shooting angles and fusion of second convolutional deep features extracted from the images of the microfossils at different shooting angles. The above method extracts features from the images of the microfossils at different shooting angles by using the genus and species identification model and classifies the features, and before classification, the features are fused according to the fusion rule, so that high-accuracy genus and species intelligent identification is realized.

The invention relates to the technical field of nucleic acid detection, and discloses a universal primer pair for detecting stenotrophomonas and application of the universal primer pair. The detection primer pair and the identification method provided by the invention are generally used for all strains of stenotrophomonas, including but not limited to stenotrophomonas maltophilia, especially unnamed ANI strains. The amplification method provided by the invention has low requirements on a template, is suitable for clinical original samples such as sputum, alveolar lavage fluid, hydrothorax and ascites, culture and the like, environment original samples such as water samples, soil, air and the like and extracted nucleic acid, and does not depend on culture. The method is rapid and low in cost, has low requirements on equipment and detection personnel, and is applicable to all levels of laboratories. The detection reagent based on the invention can be widely applied to the related fields of environmental monitoring, clinical precise detection, epidemiological research and the like.

The present application discloses a Tulasnella sp. fungus and application thereof, and relates to the technical field of microorganisms. A mycorrhizal fungus BJ1 is isolated from the roots of Bletilla striata. After morphological and molecular biological identification, the fungus is determined as a Tulasnella sp. fungus which has not been reported. The fungus can not only significantly promote the germination of Bletilla striata seeds, but also has certain positive effects on the growth of subsequent seedlings of the Bletilla striata seeds.

Described herein is system, kit, or method for determining genus and species of one or more fastidious microorganisms. Also described herein is system, kit, or method for detecting and identifying one or more fastidious microorganisms in a subject experiencing fatigue, myalgia, or a neurological symptom.

The invention discloses an automatic interpretation and generation method and system for an mNGS detection pathogen report, and relates to the technical field of clinical pathogenic microorganism detection.The method comprises the following steps that 1, the classification level of a microorganism report is determined, judging according to a microorganism type, a microorganism species or complex group or genus and subspecies / species / complex group level detection sequence number and a proportion, and setting a report rule of microorganisms; 2, quality control and filtration of originally detected microorganisms and the like. Aiming at a report interpretation link of a clinical mNGS pathogen detection technology, the pathogen label-dependent rule-based automatic report interpretation method and system are newly designed for the first time, an automatic report result and an existing manual interpretation result have a high consistency rate (up to 90% or above), and pathogen interpretation and recognition and report issuing can be effectively assisted.

Offering a sporeless Pleurotus strain with a flatter cap and a very short stipe compared to the Spoppo and Allerpo strains. [Solution] The present invention relates to the development of a novel non-sporeless strain of the genus Pleurotus named FiBABH-334, the representative culture of which was deposited on March 21, 2023, with the National Microbial Collection (CNCM) at the Pasteur Institute, 25 rue du Docteur Roux, 75724 PARIS, Cedex 15, under CNCM accession number I-5939. This non-sporeless strain of Pleurotus yields very high harvest yields and has a very long shelf life for mushroom products. The present invention also relates to cultures obtained from this strain, or its offspring, or cultures induced by other means. More specifically, the present invention relates to a culture containing at least one haploid chromosome set of the strain, in particular a mononucleus thereof, or an F1 hybrid produced by crossing this mononucleus with another strain of the genus Pleurotus. The present invention further relates to methods of using the above-mentioned culture.

A method of computer-based fossil identification with deep learning processes is disclosed, which is thought to bring great convenience and innovation to paleontological and stratigraphic studies. According to the method of the present 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 invention relates to application of a biological material related to an SDR32 gene to regulation and control of yield and / or high temperature resistance of pleurotus edible fungi. According to the biological material, SDR32 is overexpressed in pleurotus edible fungi, so that the yield and / or high-temperature resistance of the fungi are / is improved. Experimental results show that the expression quantity of the SDR32 gene in the overexpression strain is obviously higher than that of the wild strain, the yield of the strain with the overexpression SDR32 gene during fruiting is obviously increased compared with that of the wild strain, and the high temperature resistance of the strain with the overexpression SDR32 gene is obviously enhanced compared with that of the wild strain.

The application relates to a marking method based on multi-dimensional intestinal flora characteristics and application thereof, and belongs to the cross technical field of microbiomics and artificial intelligence. First, the sum of a first occurrence frequency and a relative abundance of a first genus is calculated, all the first genera are screened, and second genera are obtained. Then, the average relative abundance of the second genera is calculated, all the second genera are screened, and third genera are obtained. Then, the average relative abundance difference coefficient of the third genera is calculated, all the third genera are screened, and fourth genera are obtained. Finally, the second occurrence frequency and the third occurrence frequency of the fourth genera are calculated, all the fourth genera are screened, and difference genera are obtained, so that the intestinal flora characteristics are marked, the difference genera can be accurately determined through step-by-step screening, and the prediction efficiency is improved. In addition, through the sample set constructed by the selected difference genera, a classifier model can be quickly established, the classifier model is evaluated, and the prediction accuracy can be greatly improved.