Huang, Bi and Huang, Li-Fang and Zhang, Shang-Hong (2019) Evaluation of the Persistence of Higher-Order Strand Symmetry in Genomic Sequences by Novel Word Symmetry Distance Analysis. Frontiers in Genetics, 10. ISSN 1664-8021
![[thumbnail of pubmed-zip/versions/1/package-entries/fgene-10-00148/fgene-10-00148.pdf]](http://resources.peerreviewarticle.com/style/images/fileicons/text.png)
pubmed-zip/versions/1/package-entries/fgene-10-00148/fgene-10-00148.pdf - Published Version
Download (4MB)
Abstract
For the ubiquitous phenomenon of strand symmetry, it has been shown that it may persist for higher-order oligonucleotides. However, there is no consensus about to what extent (order of oligonucleotides or length of words) strand symmetry still persists. To determine the extent of strand symmetry in genomic sequences is critically important for the further understanding of the phenomenon. Based on previous studies, we have developed an algorithm for the novel word symmetry distance analysis. We applied it to evaluate the higher-order strand symmetry for 206 archaeal genomes and 2,659 bacterial genomes. Our results show that the new approach could provide a clear-cut criterion to determine the extent of strand symmetry for a group of genomes or individual genomes. According to the new measure, strand symmetry would tend to persist for up to 8-mers in archaeal genomes, and up to 9-mers in bacterial genomes. And the persistence may vary from 6- to 9-mers in individual genomes. Moreover, higher-order strand symmetry would tend to positively correlate with GC content and mononucleotide symmetry levels of genomic sequences. The variations of higher-order strand symmetry among genomes would indicate that strand symmetry itself may not be strictly relevant to biological functions, which would provide some insights into the origin and evolution of the phenomenon.
Item Type: | Article |
---|---|
Subjects: | STM Open Press > Medical Science |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science Faculty of Engineering, Science and Mathematics > School of Engineering Sciences Faculty of Engineering, Science and Mathematics > School of Geography Faculty of Engineering, Science and Mathematics > School of Mathematics Faculty of Engineering, Science and Mathematics > School of Physics Faculty of Law, Arts and Social Sciences > School of Art Faculty of Law, Arts and Social Sciences > School of Education |
Depositing User: | Unnamed user with email support@stmopenpress.com |
Date Deposited: | 10 Feb 2023 09:25 |
Last Modified: | 14 Apr 2025 12:51 |
URI: | http://resources.peerreviewarticle.com/id/eprint/319 |