Genome-Wide Identification of Conditionally Essential Genes Supporting Streptococcus suis Growth in Serum and Cerebrospinal Fluid – Supplementary Dataset

DOI:10.4121/ace99cb5-0414-4a91-9aa8-72c0d8c47381.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/ace99cb5-0414-4a91-9aa8-72c0d8c47381

Datacite citation style

van Baarlen, Peter; Juanpere Borras, Maria (2025): Genome-Wide Identification of Conditionally Essential Genes Supporting Streptococcus suis Growth in Serum and Cerebrospinal Fluid – Supplementary Dataset. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ace99cb5-0414-4a91-9aa8-72c0d8c47381.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset contains supplementary data for the study “Genome-Wide Identification of Conditionally Essential Genes Supporting Streptococcus suis Growth in Serum and Cerebrospinal Fluid.” The research aimed to identify conditionally essential genes that facilitate S. suis survival in host environments. Using transposon sequencing (Tn-seq) combined with Oxford Nanopore sequencing, the study profiled mutant fitness in active porcine serum and cerebrospinal fluid derived from human choroid plexus organoids. The dataset includes Tn-seq output files, gene annotations, and raw and processed data supporting Figures 2 to 6 of the manuscript and Supplementary Tables S1 to S3. A detailed README file is included to describe the content and structure of each dataset component. The raw FAST5 and FASTQ sequencing files are available in the European Nucleotide Archive (ENA) under study accession number PRJEB89170. The Tn-Seq analysis pipeline developed for this study, Nanopore-TnSeq-Pipeline, is also available and can be accessed via a link provided in both the manuscript and this data repository.

History

  • 2025-06-11 first online, published, posted

Publisher

4TU.ResearchData

Format

.docx, .xlsx, .txt

Funding

  • Horizon 2020 Marie Skłodowska-Curie grant agreement (grant code No. 956154)
  • China Scholarship Council (grant code (No. 201906350084))
  • Research Center for Genetic Engineering, BRIN, Indonesia

Organizations

Host-Microbe Interactomics, Animal Sciences, Wageningen University & Research

DATA

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