MoG+3.0: expanded structural variant visualization and integration of genomic data from five newly analyzed mouse...

Area of Science:

• Genomics
• Bioinformatics
• Comparative Genomics

Background:

• The MoG+ database has provided genomic variation data for mouse strains since 2019.
• Previous versions primarily relied on short-read sequencing data, limiting the detection of certain genomic variations.
• Experimental mouse strains are crucial models for understanding human diseases.

Purpose of the Study:

• To enhance the MoG+ database with the latest genomic data and incorporate structural variation (SV) information.
• To improve the visualization capabilities for genomic variants in mouse experimental strains.
• To provide a comprehensive resource for researchers studying mouse models of disease.

Main Methods:

• Incorporation of latest genome reports and structural variation (SV) data from long-read sequencing studies.
• Analysis of five specific disease model mouse strains: FLS/Shi, NC/Nga, STR/OrtCrlj, JF1/Ms, and MSM/Ms.
• Development of enhanced visualization features within the MoG+3.0 database.

Main Results:

• The MoG+3.0 database now includes extensive data on single nucleotide polymorphisms (SNPs), short insertions/deletions (indels), and structural variations (SVs) like insertions, deletions, and inversions.
• New visualization tools allow users to observe variants, including SVs, which were previously difficult to detect with short-read data.
• Detailed variant data (e.g., 4.4M-19.6M SNPs, 0.7M-2.3M indels, 32K-131K insertions, 28K-102K deletions, 32-164 inversions) across five strains.

Conclusions:

• The MoG+3.0 database offers an enhanced platform for visualizing complex genomic variations in experimental mouse strains.
• The inclusion of SVs detected via long-read sequencing provides deeper insights into genetic diversity.
• This updated resource is expected to significantly benefit research on mouse models for disease and phenotype studies.