<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/GSE338nnn/GSE338097/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Zea mays</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE338097</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>RNA-seq analysis on maize plants treated with Streptomyces sclerogranulatus</name><description>In this studies, we sought to isolate and identify a novel Streptomyces sclerogranulatus SM3-7 strain with biocontrol potential and to elucidate the antibacterial secondary metabolites responsible for its antagonistic activity.</description><dates><publication>2026/07/14</publication></dates><accession>GSE338097</accession><cross_references><GSM>GSM9866529</GSM><GSM>GSM9866526</GSM><GSM>GSM9866525</GSM><GSM>GSM9866528</GSM><GSM>GSM9866527</GSM><GSM>GSM9866524</GSM><GPL>35008</GPL><GSE>338097</GSE><taxon>Zea mays</taxon></cross_references></HashMap>