<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE319nnn/GSE319528/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Other</omics_type><species>Escherichia coli BW25113</species><gds_type>Other</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE319528</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>A Course-Based Undergraduate Research Experience (CURE) Using Transposon-directed insertion sequencing (TraDIS) to Identify Genes Required for Bacteriophage P1 Propagation in Escherichia coli</name><description>Understanding gene function through forward genetic screens remains foundational to microbial genetics. Here, we describe the design and implementation of a multi-week course-based undergraduate research experience (CURE) embedded within a third-year Microbial Genetics course. In this CURE, students construct a high-density Tn5 transposon insertion library in Escherichia coli, challenge the library with bacteriophage P1, and use Transposon-Directed Insertion-site Sequencing (TraDIS) coupled with statistical analysis (edgeR) to identify genes required for phage propagation. Students perform transposome electroporation, phage infection assays, genomic DNA extraction, high-throughput sequencing data processing in Galaxy, differential insertion analysis, visualization in Artemis, and Gene Ontology enrichment analysis. The project integrates wet-lab microbiology, molecular genetics, and bioinformatics while modeling an authentic forward genetic screen. This CURE emphasizes experimental design, genome-wide functional analysis, statistical reasoning, and interpretation of large-scale sequencing data. The curriculum is adaptable to other bacterial species, phage systems, or selective pressures and provides a scalable framework for integrating authentic genomics research into upper-level microbiology courses.</description><dates><publication>2026/09/09</publication></dates><accession>GSE319528</accession><cross_references><GSM>GSM9519242</GSM><GSM>GSM9519245</GSM><GSM>GSM9519243</GSM><GSM>GSM9519244</GSM><GPL>18995</GPL><GSE>319528</GSE><taxon>Escherichia coli BW25113</taxon></cross_references></HashMap>