Abstract
AbstractTo date transposon insertion sequencing (TIS) methodologies have used short-read nucleotide sequencing technology. However, short-read sequences are unlikely to be matched correctly within repeated genomic regions which are longer than the sequence read. This drawback may be overcome using long-read sequencing technology. We have developed a suite of new analysis tools, the “LoRTIS software suite” (LoRTIS-SS), that produce transposon insertion site mapping data for a reference genome using long-read nucleotide sequence data.Long-read nucleotide sequence data can be applied to TIS, this enables the unique mapping of transposon insertion sites within long genomic repeated sequences. Here we present long-read TIS analysis software, LoRTIS-SS, which uses the Snakemake framework to manage the workflow. A docker image is provided, complete with dependencies and ten scripts are included for experiment specific data processing before or after use of the main workflow. The workflow uses long-read nucleotide sequence data such as those generated by the MinION sequencer (Oxford Nanopore Technologies). The unique mapping properties of long-read sequence data were exemplified by reference to the ribosomal RNA genes of Escherichia coli strain BW25113, of which there are 7 copies of ∼4.9 kbases in length that are at least 99% similar. Of reads that matched within rRNA genes, approximately half matched uniquely. The software workflow outputs data compatible with the established Bio-TraDIS analysis toolkit allowing for existing workflows to be easily upgraded to support long-read sequencing.
Publisher
Cold Spring Harbor Laboratory
Reference11 articles.
1. The TraDIS toolkit: sequencing and analysis for dense transposon mutant libraries
2. Artemis: an integrated platform for visualization and analysis of high-throughput sequence-based experimental data
3. ‘CLIMB (the Cloud Infrastructure for Microbial Bioinformatics): An Online Resource for the Medical Microbiology Community’;Microbial Genomics,2016
4. ‘Sequencing DNA with Nanopores: Troubles and Biases’;PLOS ONE,2021
5. Li, Heng . 2013. ‘Aligning Sequence Reads, Clone Sequences and Assembly Contigs with BWA-MEM’. ArXiv:1303.3997 [q-Bio], March. http://arxiv.org/abs/1303.3997.
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