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Improved Mobilome Delineation in Fragmented Genomes
Catherine M Mageeney1, Gareth Trubl2, Kelly P Williams1
1Systems Biology Department, Sandia National Laboratories, Livermore, CA, United States.
Frontiers in Bioinformatics
|October 28, 2022
Summary
Metagenome-assembled genomes (MAGs) show fewer genomic islands (GIs) than isolate genomes. The updated TIGER2 software improves GI detection in fragmented MAGs, revealing more microdiversity and aiding microbiome research.
Area of Science:
- Microbiology
- Genomics
- Bioinformatics
Background:
- The mobilome, comprising mobile genetic elements, significantly influences microbial ecology.
- Genomic islands (GIs) are crucial mobile elements integrated into host chromosomes.
- Accurate delineation of mobile elements is vital, yet challenging for incomplete and metagenome-assembled genomes (MAGs) due to fragmentation and potential misbinning.
Purpose of the Study:
- To assess the undercount of GIs in MAGs compared to isolate genomes.
- To enhance the capability of GI detection software for fragmented genomes.
- To improve the characterization of microbial microdiversity within MAGs.
Main Methods:
- Applied the GI-detection software TIGER to 74,561 genomes across 2,473 microbial species, including MAGs and isolate genomes.
- Updated TIGER to TIGER2, incorporating cross-scaffold search for detecting split GIs across fragmented genomic scaffolds or circular replicons.
- Compared GI detection yields and quality between the original TIGER and TIGER2, and between MAGs and isolate genomes.
Main Results:
- A species-normalized deficit of approximately 1.6 GIs per genome was observed in MAGs relative to isolates.
- The updated TIGER2 software doubled GI detection yields by identifying split GIs.
- Split GIs detected by TIGER2 demonstrated comparable quality to single-scaffold GIs, with potential for missing central portions in highly fragmented GIs.
Conclusions:
- Fragmented MAGs lead to an underestimation of GIs, impacting the understanding of microbial mobilomes.
- TIGER2's cross-scaffold search capability significantly improves GI detection in fragmented genomes, crucial for current genomic databases.
- Enhanced GI detection in MAGs via TIGER2 better captures microdiversity, supporting microbiome research, including virus-host interactions and ecological assessments.
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