Linked Life Data

9588802

Source:http://linkedlifedata.com/resource/pubmed/id/9588802

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1998-6-26
pubmed:abstractText
Comparative sequence analysis of small subunit rRNA is currently one of the most important methods for the elucidation of bacterial phylogeny as well as bacterial identification. Phylogenetic investigations targeting alternative phylogenetic markers such as large subunit rRNA, elongation factors, and ATPases have shown that 16S rRNA-based trees reflect the history of the corresponding organisms globally. However, in comparison with three to four billion years of evolution the phylogenetic information content of these markers is limited. Consequently, the limited resolution power of the marker molecules allows only a spot check of the evolutionary history of microorganisms. This is often indicated by locally different topologies of trees based on different markers, data sets or the application of different treeing approaches. Sequence peculiarities as well as methods and parameters for data analysis were studied with respect to their effects on the results of phylogenetic investigations. It is shown that only careful data analysis starting with a proper alignment, followed by the analysis of positional variability, rates and character of change, testing various data selections, applying alternative treeing methods and, finally, performing confidence tests, allows reasonable utilization of the limited phylogenetic information.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0173-0835
pubmed:author
pubmed:issnType
Print
pubmed:volume
19
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
554-68
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1998
pubmed:articleTitle
Bacterial phylogeny based on comparative sequence analysis.
pubmed:affiliation
Lehrstuhl für Mikrobiologie, Technische Universität München, Germany. ludwig@mikro.biologie.tu-muenchen.de
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't