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SkewDB, a comprehensive database of GC and 10 other skews for over 30,000 chromosomes and plasmids
GC skew denotes the relative excess of G nucleotides over C nucleotides on the leading versus the lagging replication strand of eubacteria. While the effect is small, typically around 2.5%, it is robust and pervasive. GC skew and the analogous TA skew are a localized deviation from Chargaff’s second...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941118/ https://www.ncbi.nlm.nih.gov/pubmed/35318332 http://dx.doi.org/10.1038/s41597-022-01179-8 |
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author | Hubert, Bert |
author_facet | Hubert, Bert |
author_sort | Hubert, Bert |
collection | PubMed |
description | GC skew denotes the relative excess of G nucleotides over C nucleotides on the leading versus the lagging replication strand of eubacteria. While the effect is small, typically around 2.5%, it is robust and pervasive. GC skew and the analogous TA skew are a localized deviation from Chargaff’s second parity rule, which states that G and C, and T and A occur with (mostly) equal frequency even within a strand. Different bacterial phyla show different kinds of skew, and differing relations between TA and GC skew. This article introduces an open access database (https://skewdb.org) of GC and 10 other skews for over 30,000 chromosomes and plasmids. Further details like codon bias, strand bias, strand lengths and taxonomic data are also included. The SkewDB can be used to generate or verify hypotheses. Since the origins of both the second parity rule and GC skew itself are not yet satisfactorily explained, such a database may enhance our understanding of prokaryotic DNA. |
format | Online Article Text |
id | pubmed-8941118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89411182022-04-08 SkewDB, a comprehensive database of GC and 10 other skews for over 30,000 chromosomes and plasmids Hubert, Bert Sci Data Data Descriptor GC skew denotes the relative excess of G nucleotides over C nucleotides on the leading versus the lagging replication strand of eubacteria. While the effect is small, typically around 2.5%, it is robust and pervasive. GC skew and the analogous TA skew are a localized deviation from Chargaff’s second parity rule, which states that G and C, and T and A occur with (mostly) equal frequency even within a strand. Different bacterial phyla show different kinds of skew, and differing relations between TA and GC skew. This article introduces an open access database (https://skewdb.org) of GC and 10 other skews for over 30,000 chromosomes and plasmids. Further details like codon bias, strand bias, strand lengths and taxonomic data are also included. The SkewDB can be used to generate or verify hypotheses. Since the origins of both the second parity rule and GC skew itself are not yet satisfactorily explained, such a database may enhance our understanding of prokaryotic DNA. Nature Publishing Group UK 2022-03-22 /pmc/articles/PMC8941118/ /pubmed/35318332 http://dx.doi.org/10.1038/s41597-022-01179-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Hubert, Bert SkewDB, a comprehensive database of GC and 10 other skews for over 30,000 chromosomes and plasmids |
title | SkewDB, a comprehensive database of GC and 10 other skews for over 30,000 chromosomes and plasmids |
title_full | SkewDB, a comprehensive database of GC and 10 other skews for over 30,000 chromosomes and plasmids |
title_fullStr | SkewDB, a comprehensive database of GC and 10 other skews for over 30,000 chromosomes and plasmids |
title_full_unstemmed | SkewDB, a comprehensive database of GC and 10 other skews for over 30,000 chromosomes and plasmids |
title_short | SkewDB, a comprehensive database of GC and 10 other skews for over 30,000 chromosomes and plasmids |
title_sort | skewdb, a comprehensive database of gc and 10 other skews for over 30,000 chromosomes and plasmids |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941118/ https://www.ncbi.nlm.nih.gov/pubmed/35318332 http://dx.doi.org/10.1038/s41597-022-01179-8 |
work_keys_str_mv | AT hubertbert skewdbacomprehensivedatabaseofgcand10otherskewsforover30000chromosomesandplasmids |