» Articles » PMID: 18845571

ATGC: a Database of Orthologous Genes from Closely Related Prokaryotic Genomes and a Research Platform for Microevolution of Prokaryotes

Overview
Specialty Biochemistry
Date 2008 Oct 11
PMID 18845571
Citations 40
Authors
Affiliations
Soon will be listed here.
Abstract

The database of Alignable Tight Genomic Clusters (ATGCs) consists of closely related genomes of archaea and bacteria, and is a resource for research into prokaryotic microevolution. Construction of a data set with appropriate characteristics is a major hurdle for this type of studies. With the current rate of genome sequencing, it is difficult to follow the progress of the field and to determine which of the available genome sets meet the requirements of a given research project, in particular, with respect to the minimum and maximum levels of similarity between the included genomes. Additionally, extraction of specific content, such as genomic alignments or families of orthologs, from a selected set of genomes is a complicated and time-consuming process. The database addresses these problems by providing an intuitive and efficient web interface to browse precomputed ATGCs, select appropriate ones and access ATGC-derived data such as multiple alignments of orthologous proteins, matrices of pairwise intergenomic distances based on genome-wide analysis of synonymous and nonsynonymous substitution rates and others. The ATGC database will be regularly updated following new releases of the NCBI RefSeq. The database is hosted by the Genomics Division at Lawrence Berkeley National laboratory and is publicly available at http://atgc.lbl.gov.

Citing Articles

Prophages and plasmids can display opposite trends in the types of accessory genes they carry.

Takeuchi N, Hamada-Zhu S, Suzuki H Proc Biol Sci. 2023; 290(2001):20231088.

PMID: 37339743 PMC: 10281811. DOI: 10.1098/rspb.2023.1088.


HGD: an integrated homologous gene database across multiple species.

Duan G, Wu G, Chen X, Tian D, Li Z, Sun Y Nucleic Acids Res. 2022; 51(D1):D994-D1002.

PMID: 36318261 PMC: 9825607. DOI: 10.1093/nar/gkac970.


SARS-CoV-2-Encoded MiRNAs Inhibit Host Type I Interferon Pathway and Mediate Allelic Differential Expression of Susceptible Gene.

Zhu Y, Zhang Z, Song J, Qian W, Gu X, Yang C Front Immunol. 2022; 12:767726.

PMID: 35003084 PMC: 8733928. DOI: 10.3389/fimmu.2021.767726.


In-depth serum virome analysis in patients with acute liver failure with indeterminate etiology.

Ren Y, Xu Y, Lee W, Di Bisceglie A, Fan X Arch Virol. 2019; 165(1):127-135.

PMID: 31741097 PMC: 6957702. DOI: 10.1007/s00705-019-04466-9.


Strong Purifying Selection Is Associated with Genome Streamlining in Epipelagic Marinimicrobia.

Martinez-Gutierrez C, Aylward F Genome Biol Evol. 2019; 11(10):2887-2894.

PMID: 31539038 PMC: 6798728. DOI: 10.1093/gbe/evz201.


References
1.
Koonin E, Wolf Y . Genomics of bacteria and archaea: the emerging dynamic view of the prokaryotic world. Nucleic Acids Res. 2008; 36(21):6688-719. PMC: 2588523. DOI: 10.1093/nar/gkn668. View

2.
Darling A, Miklos I, Ragan M . Dynamics of genome rearrangement in bacterial populations. PLoS Genet. 2008; 4(7):e1000128. PMC: 2483231. DOI: 10.1371/journal.pgen.1000128. View

3.
Tatusov R, Natale D, Garkavtsev I, Tatusova T, Shankavaram U, Rao B . The COG database: new developments in phylogenetic classification of proteins from complete genomes. Nucleic Acids Res. 2000; 29(1):22-8. PMC: 29819. DOI: 10.1093/nar/29.1.22. View

4.
Jordan I, Kondrashov F, Rogozin I, Tatusov R, Wolf Y, Koonin E . Constant relative rate of protein evolution and detection of functional diversification among bacterial, archaeal and eukaryotic proteins. Genome Biol. 2002; 2(12):RESEARCH0053. PMC: 64838. DOI: 10.1186/gb-2001-2-12-research0053. View

5.
Li L, Stoeckert Jr C, Roos D . OrthoMCL: identification of ortholog groups for eukaryotic genomes. Genome Res. 2003; 13(9):2178-89. PMC: 403725. DOI: 10.1101/gr.1224503. View