Home LiteratureArticle Details
PMID: 14657120 Published · ppublish English Comparative Study Journal Article

Gene sequences useful for predicting relatedness of whole genomes in bacteria.

International journal of systematic and evolutionary microbiology ·Vol. 53 ·No. Pt 6 ·2003-11-00 ·Pages 1893-900

Zeigler DR

Abstract

Thirty-two protein-encoding genes that are distributed widely among bacterial genomes were tested for the potential usefulness of their DNA sequences in assigning bacterial strains to species. From publicly available data, it was possible to make 49 pairwise comparisons of whole bacterial genomes that were related at the genus or subgenus level. DNA sequence identity scores for eight of the genes correlated strongly with overall sequence identity scores for the genome pairs. Even single-gene alignments could predict overall genome relatedness with a high degree of precision and accuracy. Predictions could be refined further by including two or three genes in the analysis. The proposal that sequence analysis of a small set of protein-encoding genes could reliably assign novel strains or isolates to bacterial species is strongly supported.

MeSH Terms
Bacteria/classification,genetics Bacterial Proteins/genetics Base Sequence DNA, Bacterial/chemistry,genetics Genome, Bacterial Phylogeny Regression Analysis Sequence Alignment
Chemicals
Bacterial Proteins DNA, Bacterial
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Zeigler Daniel R
Bacillus Genetic Stock Center, Department of Biochemistry, The Ohio State University, Columbus, OH 43210, USA.
Article Info
Journal
International journal of systematic and evolutionary microbiology
Abbr.
Int J Syst Evol Microbiol
ISSN
1466-5026
Published
2003-11-00
Pages
1893-900
Language
English
Region
England
NLM ID
100899600
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]