Development Of Brassica Napus Multiomics Database And Anomaly Detection Based On Web Logs

Brassica napus is an important oil crop in China.The Brassica napus industry provides about 5.2 million tons of high-quality edible vegetable oil annually,accounting for about 50% of the total oil production of domestic oil crops.However,the production of edible vegetable oil in China has been lower than the demand for more than 10 consecutive years,and a large demand gap is filled by foreign imports.It has been reported that China imported over 10 million tons vegetable oil,and the external dependence reached 70% in2021.Meanwhile,compared with foreign countries,Brassica napus breeding technology of China still has a big gap in the breeding speed and success rate of high-quality varieties.With the advent of the post-genomic era,massive omics resources have been accumulated in the field of Brassica napus basic research.How to convert these multiomics data advantages into breeding advantages is one of the core research contents of Brassica napus genetics and breeding at present and even in the future for a long time.In order to gradually achieve this goal,this study firstly established Brassica napus Transcriptome Information Resource(Bn TIR),Brassica napus Variation Information Resource(Bn VIR).On this basis,by systematically integrating Bn TIR,Bn VIR and Brassica napus Pan-genome Information Resource(Bn PIR),a comprehensive,safe and stable Brassica napus multi-omics database(Bn IR)was constructed.The main results are as follows:(1)Design and implementation of Brassica napus Transcriptome Information Resource.Systematic and comprehensive gene expression information can help researchers to quickly mine and analyze the target genes and their expression characteristics related to important traits of Brassica napus,and provide the corresponding basis and support for gene function research.In this study,transcriptome sequencing was performed on 273 high-resolution tissue samples from seedling,flowering and maturity stages of Brassica napus and Brassica napus Transcriptome Information Resource was constructed.The database integrates functional modules such as gene expression information query,e FP visualization,gene co-expression network,and JBrowser,and also includes tool pages such as gene ID conversion,sequence alignment,sequence extraction,transcription factor family,transcription factor regulatory network,and heatmap drawing.Bn TIR provides researchers with a convenient,fast and comprehensive information acquisition platform,which is beneficial to the functional genomics of Brassica napus and the localization of candidate genes,and promotes the development of Brassica napus genetics and breeding.(2)Design and implementation of Brassica napus Variation Information Resource.A complete and abundant set of genetic variation is an important basis for accurate localization of genetic loci and candidate genes,marker-assisted genetic breeding and identification of germplasm resources in genetic breeding.In this study,the population resequencing data of 2,311 core Brassica napus accessions were collected firstly,and10,091,900 genetic variants were obtained through processing and analysis.Based on population genotypes,118 phenotypic data,and gene expression data of 309 materials,we constructed Brassica napus Variation Information Resource.The database integrates functional modules such as variation information query,germplasm resource query,population genetics and evolutionary analysis,and also includes tool pages such as variation annotation and LDheatmap drawing.Bn VIR provides researchers with a fast and efficient platform for mining candidate variations/genes in Brassica napus and plays an important role in promoting the development of molecular markers,the functional research of candidate genes and the improvement of Brassica napus breeding.(3)Design and implementation of Brassica napus Information Resource.In order to make full use of the massive omics data accumulated in the field of Brassica napus research and facilitate the mining and localization of functional genes related to important traits of Brassica napus,this study integrated Bn TIR,Bn VIR and Bn PIR,and added 11 reference genomes of Brassica napus,100,947 population expression data at 20 and 40 days of seed development,transcripts from 2,791 samples,13,343,263 seed methylation data,1,431,217 GWAS results generated by Genome-Wide Association Studies(GWAS),121,720,300 e QTL results generated by Expression Quantitative Trait Loci(e QTL)and other multi-omics resources to construct Brassica napus multi-omics database.There are 64 data sheets in the back end of the database,and 10 main functional modules and 87 functional sub-pages in the front end,and allows users to obtain the result data through various ways including gene name,gene number,gene index and chromosome location.Bn IR realized the functions of integrated query and visualization of a large amount of Brassica napus omics data.Researchers can quickly carry out molecular marker research of Brassica napus based on candidate genes,which plays an important role in the accurate identification,evaluation,utilization and molecular breeding of Brassica napus germplasm resources.(4)Detect abnormal Web traffic to ensure the stable operation of Bn IR.Timely detection of abnormal web traffic received by Bn IR is an important guarantee for Bn IR to provide stable,long-term and secure services.In this study,the HTTP CISC 2010 public dataset and Bn IR’s 1,668,668 original web log records were used as experimental objects,and 13 machine learning algorithm models were trained for detecting abnormal traffic received by Bn IR.The stacking model based on Support Vector Machine,Decision Tree and Multi-layer Perceptron had the best classification effect on normal traffic and abnormal traffic.Based on the above results,this study built a Web anomaly detection system,which realized the functions of Bn IR log data storage,data preprocessing,anomaly detection,anomaly storage and traffic classification result display.As it is shown on the test result,the system has good Web anomaly detection ability,can play a role in ensuring the stability of Bn IR service and data security,and can escort the stable operation of the database.