Identity Degree Research Articles

Using Multiplex Virtual PCR For Genetic Barcoding Of Tequatrovirus Bacteriophages

In this paper, we investigate the possibility of using the multiplex virtual PCR method to develop approaches to barcoding the genomes of T4-type bacteriophages. A comparison of the multiplex virtual PCR method and phylogenomic analysis based on alignment-free approach was performed. A dataset of Tequatrovirus genomes previously selected for pangenomic analysis was used for this study. The genomes used were preliminarily checked for their adequate annotation and, accordingly, sequencing accuracy. A study using the multiplex virtual PCR method was carried out for 67 genomes, barcodes were generated, and similarity parameters were determined. Based on the obtained data, a phylogenetic tree was constructed using the neighbor joining method. For the same set of Straboviridae bacteriophage genomes, a phylogenomic tree was constructed based on pairwise distance matriх between oligonucleotide 10-mer sets. Comparison of these two trees showed differences in branching between the control distantly related genomes from the genera Mosigvirus and Dhakavirus, and the branch of the genomes of bacteriophages of the genus Tequatrovirus. The authors of the work suggested that these differences may reflect the features of the multiplex virtual PCR method, which is more applicable for assessing the similarity of closely related genomes than within genomes with an identity degree of less than 75 %. It can be concluded that the multiplex virtual PCR method allows one to distinguish taxonomic groups of large bacteriophages, which include T4-type bacteriophages, at the genus level. Thus, using this method, within the genus of such bacteriophages one can more accurately compare the genomes of viruses with a length of about 170 kb. From a practical point of view, multiplex virtual PCR is quite applicable for including barcodes compiled on its basis in the bacteriophage passport for use in the practice of phage therapy.

Optimization and Performance Analysis of CAT Method for DNA Sequence Similarity Searching and Alignment.

Bioinformatics is a rapidly developing field enabling scientific experiments via computer models and simulations. In recent years, there has been an extraordinary growth in biological databases. Therefore, it is extremely important to propose effective methods and algorithms for the fast and accurate processing of biological data. Sequence comparisons are the best way to investigate and understand the biological functions and evolutionary relationships between genes on the basis of the alignment of two or more DNA sequences in order to maximize the identity level and degree of similarity. This paper presents a new version of the pairwise DNA sequences alignment algorithm, based on a new method called CAT, where a dependency with a previous match and the closest neighbor are taken into consideration to increase the uniqueness of the CAT profile and to reduce possible collisions, i.e., two or more sequence with the same CAT profiles. This makes the proposed algorithm suitable for finding the exact match of a concrete DNA sequence in a large set of DNA data faster. In order to enable the usage of the profiles as sequence metadata, CAT profiles are generated once prior to data uploading to the database. The proposed algorithm consists of two main stages: CAT profile calculation depending on the chosen benchmark sequences and sequence comparison by using the calculated CAT profiles. Improvements in the generation of the CAT profiles are detailed and described in this paper. Block schemes, pseudo code tables, and figures were updated according to the proposed new version and experimental results. Experiments were carried out using the new version of the CAT method for DNA sequence alignment and different datasets. New experimental results regarding collisions, speed, and efficiency of the suggested new implementation are presented. Experiments related to the performance comparison with Needleman-Wunsch were re-executed with the new version of the algorithm to confirm that we have the same performance. A performance analysis of the proposed algorithm based on the CAT method against the Knuth-Morris-Pratt algorithm, which has a complexity of O(n) and is widely used for biological data searching, was performed. The impact of prior matching dependencies on uniqueness for generated CAT profiles is investigated. The experimental results from sequence alignment demonstrate that the proposed CAT method-based algorithm exhibits minimal deviation, which can be deemed negligible if such deviation is considered permissible in favor of enhanced performance. It should be noted that the performance of the CAT algorithm in terms of execution time remains stable, unaffected by the length of the analyzed sequences. Hence, the primary benefit of the suggested approach lies in its rapid processing capabilities in large-scale sequence alignment, a task that traditional exact algorithms would require significantly more time to perform.

Effect of moisture deficiency on the apple stress-associated protein expression level .

In plants, stress-associated proteins (SAP) are involved in response to adverse biotic and abiotic factors. In order to study the drought effect on changes in the SAP expression level in apple trees and their involvement in stress response, an expression level of fourteen genes belonging to this family was analyzed using qPCR. Their participation in a stress response to drought in the genome of the MM-106 apple tree rootstock was shown. At that, the genes demonstrated a tendency to increase their expression by the fourth hour of drought exposure followed by its decrease by the twenty-fourth hour.A comparison of the data obtained during the described experiment with the data obtained when modeling drought under milder conditions showed that under more severe drought conditions, an expression of a greater number of gene encoding stress-associated proteins increases, and a more pronounced response occurs. Evaluation of the effect of an identity degree of nucleotide sequences of gene encoding stress-associated proteins on the similarity of their expression profiles under drought exposure did not reveal any direct relationship between the primary structure of genes and the nature of their expression.In the structure of stress-associated proteins encoded by the genes most strongly response to drought in Malus, Solanum lycopersicum, Gossypium hirsutum, and Cucumis sativus, the A20-AN1 type domain occurs more frequently than other types of zinc finger domains. Analysis of the similarity of stress-associated protein sequences and the expression levels of genes encoding them under drought conditions in different plant species (apple, cotton, tomato, and cucumber) suggests that in each species, the evolution of adaptation mechanisms, including SAP encoding genes, occurred independently and, most likely, after separation of those species from their common ancestor. The results obtained will make it possible to clarify the role of individual genes, encoding SAP, in the formation of an apple stress response to the drought effect.

ALGORITHM FOR SUBSTANTIATING FACILITIES SELECTION FOR INTRODUCTION OF OIL PRODUCTION INNOVATIVE TECHNOLOGIES IN THE CONDITIONS OF THE LOWER CRETACEOUS DEPOSITS OF WESTERN SIBERIA

Link for citation: Mukhametshin V.V., Kuleshova L.S. Algorithm for substantiating facilities selection for introduction of oil production innovative technologies in the conditions of the lower cretaceous deposits of Western Siberia. Bulletin of the Tomsk Polytechnic University. Geo Аssets Engineering, 2023, vol. 334, no. 10, рр. 179-186. In Rus. The research relevance due to significant residual oil reserves, concentrated in Cretaceous deposits of the West Siberian oil and gas province, which require the creation of innovative oil production technologies. The important issue in this case is the selection of facilities for experimental industrial work. The main criterion for such selection is the maximum possible analog facilities availability, which will allow efficient technologies replication to improve the technical and economic indicators of facilities with a significant amount of hard-to-recover residual oil reserves. The aim of the research is to create an algorithm for selecting oil production facilities in the conditions of the Western Siberia fields for innovative technologies implementation. Methods: geological and commercial analysis, methods from the image recognition theory when processing geological and commercial material arrays for deposits that have been in development for a long time. Results. The authors proposed an algorithm for selecting development facilities for implementation of innovative technologies at the Lower Cretaceous facilities of the West Siberian oil and gas province. The algorithm was created based on the use of geological and physical parameters of formations affecting predominantly oil recovery. This algorithm creation is based on as well on the formulated criteria that the facility must satisfy (a significant number of facilities analogous to the landfill one in terms of the geological structure and formations and fluid properties affecting to the greatest extent the technical and economic indicators of the deposits development; presence of significant residual or not actively involved in the development oil reserves in analogue deposits; presence of facility identification algorithms, which allow establishing the facilities identity degree and assessing risks when applying new technologies in the conditions of analogue facilities). The selection of polygon objects is proposed to be carried out in three variants: within oil and gas-bearing areas, within stratigraphic systems, within tectonic elements, depending on the requirements of the subsurface user. The obtained algorithms make it possible to select objects for replication of positive practices, as well as to increase the success of the implementation of innovative technologies.

Antecedents and mediators of experiential retailing consumer behavior

PurposeAn experiential retailing strategy is considered cardiotonic for consumers and brands. When such a stimulus is used, what cognition and behaviors are generated is an issue worthy of study. Therefore, the purpose of this study is to explore the factors and mechanisms that affect consumer response and relationship quality through empirical research.Design/methodology/approachBased on theoretical deduction, this paper proposes a conceptual model that includes four antecedents: experiential scene atmosphere (ESA), highlight design, interaction approach and value fit. These affect consumer–brand relationship quality (CRQ) through consumer identification (CI), brand identity (BI) and experiential immersion degree. In two rounds of predictive tests, 624 and 481 valid data were collected, respectively, and the feasibility of the scale was verified scrupulously. Furthermore, 427 participants reported the participants' tendencies in a formal empirical study.FindingsThe results show that the direct effects of antecedents, mediators and dependent variables are significant. Although the mediating effect of BI in experiential highlighting design on CRQ is not supported, other consumer response variables have a full or partial mediating effect.Originality/valueThis study not only functions as an innovation of research perspective enriching the theoretical framework of the influence mechanism of experiential retailing, but also strengthens the discussion on the role of value fit, especially emotional value fit, in experiential retailing.

Unravelling metabolic cross‐feeding in a yeast–bacteria community using 13C‐based proteomics

Cross‐feeding is fundamental to the diversity and function of microbial communities. However, identification of cross‐fed metabolites is often challenging due to the universality of metabolic and biosynthetic intermediates. Here, we use 13C isotope tracing in peptides to elucidate cross‐fed metabolites in co‐cultures of Saccharomyces cerevisiae and Lactococcus lactis. The community was grown on lactose as the main carbon source with either glucose or galactose fraction of the molecule labelled with 13C. Data analysis allowing for the possible mass‐shifts yielded hundreds of peptides for which we could assign both species identity and labelling degree. The labelling pattern showed that the yeast utilized galactose and, to a lesser extent, lactic acid shared by L. lactis as carbon sources. While the yeast provided essential amino acids to the bacterium as expected, the data also uncovered a complex pattern of amino acid exchange. The identity of the cross‐fed metabolites was further supported by metabolite labelling in the co‐culture supernatant, and by diminished fitness of a galactose‐negative yeast mutant in the community. Together, our results demonstrate the utility of 13C‐based proteomics for uncovering microbial interactions.

A study on the factors influencing old age identity among the Chinese elderly.

Old age identity is the self-perception of when old age begins, reflects public age values and acceptance of aging. Not all elderly people aged 60 and above identify with their old age status. The aging society in the traditional sense may not be "aging". Therefore, redefining old age is crucial. Different from Western countries, China is a country with a long-standing culture of respect for the elderly and filial piety norms, and the influence of the cultural background on the old age identity is worthy of attention. Data were drawn from the 2014 China Longitudinal Aging Social Survey (CLASS). A total of 7400 participants answered questions about old age identity. Based on old age identity, we obtained two other types of indicators of perceived old age: elderly group identity and aging degree. For the continuous variable old age identity and aging degree, an OLS linear regression model was established. A binary logistic regression model was established for the binary variable elderly group identity. The average old age identity of Chinese people aged 60 and above is 70 years. Health status, psychological status, behavior, socioeconomic status, and some demographic characteristics significantly affect the old age identity of the Chinese elderly. The traditional Chinese cultural background of respect for the elderly and the norms of filial piety have an impact on the old age identity of the Chinese elderly through family intergenerational support. The various forms of support provided by children to the elderly can help them achieve a positive age identity-enter old age later, raise the likelihood of identification with non-elderly groups, and reduce aging degree. The number of children of the elderly, the children's economic conditions and care support for grandchildren have negative effects. A positive old age identity can help the elderly improve their self-esteem.

Professional Identity of Normal University Directional Training Students for Being Teachers in Rural Areas

The professional identity and teaching intention of normal university students who took a targeted training program for certain areas were analyzed by using a questionnaire survey and unstructured interviews. After graduation, the students who completed the targeted training program become teachers in rural areas. The students attended a university in Jiangsu Province, China and majord geography during 2016−2019. The results showed that the students had a certain degree of professional identity and gradually deepened their knowledge in college training. However, their professional identity and improvement degree were lower than those of students who did not take the targeted training program. 27.33% of the students with the targeted training program chose to work in the rural areas after the mandatory service period. In the process of the targeted training program, we proposed to improve the publicity of the program, optimize the training system, and raise the payment to ensure their continuous work even after the mandatory period.

A comparative genomic analysis of Xanthomonas arboricola pv. juglandis strains reveal hallmarks of mobile genetic elements in the adaptation and accelerated evolution of virulence

Xanthomonas arboricola pv. juglandis (Xaj) is the most significant aboveground walnut bacterial pathogen. Disease management uses copper-based pesticides which induce pathogen resistance. We examined the genetic repertoire associated with adaptation and virulence evolution in Xaj. Comparative genomics of 32 Xaj strains reveal the possible acquisition and propagation of virulence factors via insertion sequences (IS). Fine-scale annotation revealed a Tn3 transposon (TnXaj417) encoding copper resistance genes acquired by horizontal gene transfer and associated with adaptation and tolerance to metal-based pesticides commonly used to manage pathogens in orchard ecosystems. Phylogenomic analysis reveals IS involvement in acquisition and diversification of type III effector proteins ranging from two to eight in non-pathogenic strains, 16 to 20 in pathogenic strains, besides six other putative effectors with a reduced identity degree found mostly among pathogenic strains. Yersiniabactin, xopK, xopAI, and antibiotic resistance genes are also located near ISs or inside genomic islands and structures resembling composite transposons.

Professional identity and its influence factors of administrators in public hospitals in Shanghai

Objective: This study investigated the professional identity of administrators in 3rd class hospitals in Shanghai, analyzing the professional identity of administrators and associated factors in public hospitals. Methods: In May 2019, Huashan Hospital conducted a questionnaire survey. Through the analysis of the survey data, this study discussed the correlation between the professional identity degree and the external factors. Three main dimensions of occupational identity were extracted by principal component analysis, namely the professional self-identity, organizational identity and social identity. External influencing factors were analyzed by factor analysis, and five main factors were extracted. Results: It was found that the professional self-identity was much higher than the organizational and social identity. The degree of organizational identity was significantly related to external factors (r=0.212,0.426,0.146,0.580,0.610,P <0.01). Respect factors (r=0.553,0.580,0.570) and self-realization factors (r=0.563,0.610,0.433) had the highest correlation with professional identity. Conclusion: Initiating with improving organizational identity, the authorities and hospitals should establish a scientific and reasonable promotion and incentive mechanism to enhance the degree of professional identity.

An Interval-Valued Bipolar Fuzzy Linguistic VIKOR Method using Connection Numbers of SPA Theory and Its Application to Decision Support System

The plan of this research is to establish an innovative multi-attribute group decision-making (MAGDM) based on a interval-valued bipolar fuzzy set (IVBFS) by unifying“ VIseKriterijumska Optimizacija I Kompromisno Rasenje (VIKOR)” method. The VIKOR method is regarded to be a helpful MAGDM technique, particularly in circumstances where an expert is unable to properly determine his decision at the outset of the design of the scheme. The theory of set pair analysis (SPA) is a state-of-the-art uncertainty theory consisting of three variables, including “identity degree”, “discrepancy degree” and “opposite degree” of connection numbers (CNs) and a combination of many current theories dealing with vagueness in the data. Inspired by this, we are therefore making an attempt in the current research to enhance the theory of information measurement by incorporating certain metrics using CNs. In this research paper, we present the linguistic VIKOR method in the context of the CNs based metrics obtained from the interval-valued bipolar fuzzy numbers (IVBFNs). First of all, we create CNs of IVBFNs and then CN-based metrics. Secondly, we develop linguistic VIKOR method using CNs based metrics to handle an MAGDM problem under IVBF type information. The predominance and advantages of proposed approach are also highlighted. Furthermore, we demonstrate the efficiency of the extended VIKOR method by solving a numerical example, sensitivity analysis and a detailed comparison with some existing approaches.

Primary Sequence and 3D Structure Prediction of the Plant Toxin Stenodactylin.

Stenodactylin is one of the most potent type 2 ribosome-inactivating proteins (RIPs); its high toxicity has been demonstrated in several models both in vitro and in vivo. Due to its peculiarities, stenodactylin could have several medical and biotechnological applications in neuroscience and cancer treatment. In this work, we report the complete amino acid sequence of stenodactylin and 3D structure prediction. The comparison between the primary sequence of stenodactylin and other RIPs allowed us to identify homologies/differences and the amino acids involved in RIP toxic activity. Stenodactylin RNA was isolated from plant caudex, reverse transcribed through PCR and the cDNA was amplificated and cloned into a plasmid vector and further analyzed by sequencing. Nucleotide sequence analysis showed that stenodactylin A and B chains contain 251 and 258 amino acids, respectively. The key amino acids of the active site described for ricin and most other RIPs are also conserved in the stenodactylin A chain. Stenodactylin amino acid sequence shows a high identity degree with volkensin (81.7% for A chain, 90.3% for B chain), whilst when compared with other type 2 RIPs the identity degree ranges from 27.7 to 33.0% for the A chain and from 42.1 to 47.7% for the B chain.

A robust extension of VIKOR method for bipolar fuzzy sets using connection numbers of SPA theory based metric spaces

The purpose of this study is to introduce an innovative multi-attribute group decision making (MAGDM) based on bipolar fuzzy set (BFS) by unifying“ VIseKriterijumska Optimizacija I Kompromisno Rasenje (VIKOR)” method. The VIKOR method is considered to be a useful MAGDM method, specifically in conditions where an expert is unable to determine his choice correctly at the initiation of designing a system. The method of VIKOR is suitable for problems containing conflicting attributes, with an assumption that compromising is admissible for conflict decision, the expert wishes a solution very near to the best, and the different alternatives or choices are processed according to all developed attributes. The theory of set pair analysis is a state-of-the-art uncertainty theory which consists of three factors, including “identity degree”, “discrepancy degree”, and “contrary degree” of connection numbers (CNs) and coincidence with many existing theories dealing with vagueness in the given information. Consequently, inspired by this, in the present study, we make an effort to improve the theory of data measurement by introducing some metric spaces using CNs of BFSs. In this research paper, we extend VIKOR method in the context of CNs based metrics, which are obtained form bipolar fuzzy numbers (BFNs). Firstly, we develop CNs of BFNs as well as metric spaces based on CNs. We also discuss some interesting properties of proposed metric spaces. Secondly, we develop VIKOR method using CNs based metrics to handle an MAGDM problem under bipolar fuzzy type information. The predominance of proposed metric spaces is also studied by the means of examples. Furthermore, we demonstrate the efficiency of the extended VIKOR method by solving a numerical example, sensitivity analysis and a detailed comparison with some existing approaches.

Improving the nonlinear models characteristics of dynamical systems

The qualitative characteristics of the models are studied: the degree of observability, controllability and parametric identity. The numerical criteria of linear models qualitative characteristics of one class in the SDC representation are used to determine such characteristics. Usage methods of the models with improved characteristics in the aircraft navigation system of the aircraft are described. Keywords aircraft; navigation complex; adaptive non-linear Kalman filter; method of arguments group accounting; nonlinear control algorithm; SDC representation; observability degree criterion; controllability degree criterion; parametric identity degree criterion

Prevalence of Sexual Orientation Across 28 Nations and Its Association with Gender Equality, Economic Development, and Individualism

The prevalence of women’s and men’s heterosexuality, bisexuality, and homosexuality was assessed in 28 nations using data from 191,088 participants from a 2005 BBC Internet survey. Sexual orientation was measured in terms of both self-reported sexual identity and self-reported degree of same-sex attraction. Multilevel modeling analyses revealed that nations’ degrees of gender equality, economic development, and individualism were not significantly associated with men’s or women’s sexual orientation rates across nations. These models controlled for individual-level covariates including age and education level, and nation-level covariates including religion and national sex ratios. Robustness checks included inspecting the confidence intervals for meaningful associations, and further analyses using complete-cases and summary scores of the national indices. These analyses produced the same non-significant results. The relatively stable rates of heterosexuality, bisexuality, and homosexuality observed across nations for both women and men suggest that non-social factors likely may underlie much variation in human sexual orientation. These results do not support frequently offered hypotheses that sexual orientation differences are related to gendered social norms across societies.

Polymorphism of two wheat degydrines genes

Aim. The aim of this work is to study the nucleotide sequences variability of two genes encoding wheat dehydrins. One of them belong to K-2 group, the other refers to K-3 type (respectively, TaDHN18 and TaDHN19.3 according to the classification of Wang et al.). These loci sre interesting due to their's genes participation in protection of plants from the various adverse abioti ecffects. Methods. Polymorphism of two genes encoding dehydrins was investigated using 6 wheat varieties as examples, among which were spring and winter varieties with different cold resistance, using PCR-based cloning, sequencing, and data processing softwares. Results. An analysis of the obtained nucleotide and hypothetical protein sequences alignment showed that the locus under study in the genomes of different wheat varieties, both spring and winter, is characterized by a high identity degree. Conclusions. The high conservatism of two loci encoding K-2 and K-3 dehydrins was demonstrated.&#x0D; Keywords: wheat, dehydrins, polymorphism.

Study of Allelic Diversity of the Genes Encoding High Molecular Weight Glutenins in Wheat Varieties and Lines Utilized in the Breeding Process in the Republic of Belarus Using PCR Markers

Abstract—The allelic composition of genes encoding high molecular weight glutenin subunits was studied in a collection composed of 236 winter and 98 spring wheat samples of Belarussian and foreign breeding. We have identified 13 alleles among winter and 11 alleles among spring wheat samples. This is generally less than the data for European, Asian, and African countries. In total, 36 different genotypes have been identified among the analyzed samples. The most frequent cultivars and lines among the winter wheat samples possessed the following genotypes: Glu-A1c, Glu-B1c, Glu-D1d (16.2% of the total number of the analyzed samples), Glu-A1a, Glu-B1c, Glu-D1d (13.7%), and Glu-A1b, Glu-B1c, Glu-D1d (12.7%). The cultivars and lines possessing the Glu-A1a, Glu-B1c, Glu-D1d (22.5%), Glu-A1a, Glu-B1c, Glu-D1a (16.4%), and Glu-A1c, Glu-B1f, and Glu-D1d (13.3%) genotypes prevailed among the spring wheat samples. The spring wheat KP-406/11 line genome has been found to carry a Bx subunit-encoding gene allele with the maximum identity degree (99%) relative to the nucleotide sequences of the Bx subunits represented under the GenBank database. This gene allele contains an open reading frame with the length of 2367 bp and has the highest degree of identity with the nucleotide sequence of the Bx14 subunit. The 789-long amino acid sequence encoded by this allele differs from the Bx14 by replacements of amino acid residues in three positions: 662, 780, and 788. This subunit was designated Bx14.1 (its Genbank accession number is MH108092).

The Persistence of Ethnocentric Framing in Online News Coverage of European Politics

This article explores the potential added value of online news media in reporting European Union (EU) politics. Precisely, it examines the extent to which online reporting could generate more prominent, more pluralistic and less ethnocentric coverage of EU politics. The above issue is scrutinised in the Cypriot context. A context where the economic crisis has negatively affected both the working conditions in newsroom and the public opinion on EU. The study is based on a corpus of news reports delivered by online news media that vary regarding their journalistic culture, political identity, organisational structure and volume and degree of establishment. Drawing on a multi-method research design, this article argues that online news media in Cyprus do not make effective use of online medium in favour of more prominent, comprehensive and pluralistic reporting. Instead, they exploit the online potential for decreasing their investment in both personnel and time for the coverage of “not so important” topics as EU politics. The article highlights how journalistic processes of news production and journalism culture in synergy with digitalisation processes contribute to the persistence of narrow coverage and ethnocentric framing of EU news.

Evaluation of lake eutrophication status based on set pair analysis and confidence intervals

Because traditional assessing methods usually yield extreme results and are of poor resolution, a set pair analysis based on triangular fuzzy number is established. Set pair analysis method is an uncertainty analysis method of the system whose formula structure analysis of connection degree is established by the identity degree, discrepancy degree and contrary degree to deal with all kinds of uncertainty and fuzzy problems. The measured value and the lake quality criteria are two interrelated sets put together to compose a set pair with respect to the problem of determination of the magnitude of lake eutrophication. The basic expression of the degree of couplet is extended at different levels and at the same level to form a multi-element connection number, in order to set up a five-element connection number in relation to I-V grades evaluation standard commonly used in lake assessment. The discrepancy degree is expanded into partial identity in discrepancy, entirety discrepancy and partial contrary in discrepancy, this forms a multivariate connection number of identity, partial identity in discrepancy, entirety discrepancy, partial contrary in discrepancy and contrary. By introducing triangular fuzzy number the number of links to get the evaluation grade for a confidence interval was obtained, weight value calculated by weighted average method and finally got the evaluation grade as a confidence interval based on confidence level. The case study shows that the method presents the evaluating grade as a confidence interval which has advantages of high resolution and information utilization.&#x0D;

Research on Chinese College Teachers' Organization Identity Based on Path Analysis

College teachers are the main body of the development of colleges and universities in China, and their organizational identity degree is related to the survival and development of colleges and universities. This paper uses the path analysis method to study the direct effect and indirect effect of gender, age, education, title and annual income on the organizational identity of college teachers. The results show that there is a weak correlation between the gender and organizational identity of college teachers, and there is a strong correlation between age and education and organizational identity. To improve the degree of organizational identity of teachers, colleges and universities on the one hand to create a good scientific environment to ensure that the title of promotion and fair assessment of justice, the other party to improve teacher income and improve the quality of life of teachers, with particular attention to the growth of female teachers.