Compression rates of microbial genomes are associated with genome size and base composition.

Autor:	Bohlin J; Norwegian Institute of Public Health, Domain for Infection Control, Section for Modeling and Bioinformatics, Oslo, Norway. jon.bohlin@fhi.no., Pettersson JH; Zoonosis Science Center, Clinical Microbiology, Department of Medical Sciences, University of Uppsala, 751 85, Uppsala, Sweden.; Clinical Microbiology and Hospital Hygiene, Uppsala University Hospital, 751 85, Uppsala, Sweden.; Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia.
Jazyk:	angličtina
Zdroj:	Genomics & informatics [Genomics Inform] 2024 Oct 10; Vol. 22 (1), pp. 16. Date of Electronic Publication: 2024 Oct 10.
DOI:	10.1186/s44342-024-00018-z
Abstrakt:	Background: To what degree a string of symbols can be compressed reveals important details about its complexity. For instance, strings that are not compressible are random and carry a low information potential while the opposite is true for highly compressible strings. We explore to what extent microbial genomes are amenable to compression as they vary considerably both with respect to size and base composition. For instance, microbial genome sizes vary from less than 100,000 base pairs in symbionts to more than 10 million in soil-dwellers. Genomic base composition, often summarized as genomic AT or GC content due to the similar frequencies of adenine and thymine on one hand and cytosine and guanine on the other, also vary substantially; the most extreme microbes can have genomes with AT content below 25% or above 85% AT. Base composition determines the frequency of DNA words, consisting of multiple nucleotides or oligonucleotides, and may therefore also influence compressibility. Using 4,713 RefSeq genomes, we examined the association between compressibility, using both a DNA based- (MBGC) and a general purpose (ZPAQ) compression algorithm, and genome size, AT content as well as genomic oligonucleotide usage variance (OUV) using generalized additive models. Results: We find that genome size (p < 0.001) and OUV (p < 0.001) are both strongly associated with genome redundancy for both type of file compressors. The DNA-based MBGC compressor managed to improve compression with approximately 3% on average with respect to ZPAQ. Moreover, MBGC detected a significant (p < 0.001) compression ratio difference between AT poor and AT rich genomes which was not detected with ZPAQ. Conclusion: As lack of compressibility is equivalent to randomness, our findings suggest that smaller and AT rich genomes may have accumulated more random mutations on average than larger and AT poor genomes which, in turn, were significantly more redundant. Moreover, we find that OUV is a strong proxy for genome compressibility in microbial genomes. The ZPAQ compressor was found to agree with the MBGC compressor, albeit with a poorer performance, except for the compressibility of AT-rich and AT-poor/GC-rich genomes. (© 2024. The Author(s).)
Databáze:	MEDLINE
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