TL;DR
The Introgression Browser (IBROWSER) is a new bioinformatics tool that visualizes introgressions at SNP resolution, aiding crop breeding and genome analysis by efficiently processing large genomic datasets.
Contribution
IBROWSER introduces a novel method for high-resolution visualization of introgressions using SNP data, filtering, and flexible fragmentation, enhancing crop breeding and genome analysis capabilities.
Findings
Successfully visualized introgressions in tomato and Arabidopsis
Identified alien DNA segments and SNP-free regions
Demonstrated compatibility with large datasets
Abstract
Breeding by introgressive hybridization is a pivotal strategy to broaden the genetic basis of crops. Usually, the desired traits are monitored in consecutive crossing generations by marker-assisted selection, but their analyses fail in chromosome regions where crossover recombinants are rare or not viable. Here, we present the Introgression Browser (IBROWSER), a novel bioinformatics tool aimed at visualizing introgressions at nucleotide or SNP accuracy. The software selects homozygous SNPs from Variant Call Format (VCF) information and filters out heterozygous SNPs, Multi-Nucleotide Polymorphisms (MNPs) and insertion-deletions (InDels). For data analysis IBROWSER makes use of sliding windows, but if needed it can generate any desired fragmentation pattern through General Feature Format (GFF) information. In an example of tomato (Solanum lycopersicum) accessions we visualize SNP patterns…
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