Linked Life Data

18840511

Source:http://linkedlifedata.com/resource/pubmed/id/18840511

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
2008-11-10
pubmed:abstractText
The birth-and-death model of multigene family evolution describes patterns of gene origination, diversification and loss within multigene families. Since it was first developed in the 1990s, the model has been found to characterize a large number of eukaryotic multigene families. In this paper, we report for the first time a bacterial multigene family that undergoes birth-and-death evolution. By analyzing the evolutionary relationships among internalins, a relatively large and diverse family of genes associated with key virulence functions in Listeria, we demonstrate the importance of birth-and-death evolution in the diversification of this important bacterial pathogen. We also detected two instances of lateral gene transfer within the internalins, but the estimated frequency would have been much higher had it not been analyzed within the context of birth-and-death evolutionary dynamics and a phenomenon that we term "paralog-sorting", which involves the unequal transmittal of gene duplicates during or subsequent to the speciation process. As such, in addition to providing the first demonstration of birth-and-death evolution within a bacterial multigene family, our results indicate that the extent of lateral transfer in bacterial multigene families should be re-examined in the light of birth-and-death evolution.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0378-1119
pubmed:author
pubmed:issnType
Print
pubmed:day
31
pubmed:volume
427
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
124-8
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Birth-and-death evolution of the internalin multigene family in Listeria.
pubmed:affiliation
National Center for Agricultural Utilization Research, Agricultural Research Service, U.S. Department of Agriculture, 1815 N. University Street, Peoria, IL 61604, USA. alejandro.rooney@ars.usda.gov <alejandro.rooney@ars.usda.gov>
pubmed:publicationType
Journal Article