Linked Life Data

19425156

Source:http://linkedlifedata.com/resource/pubmed/id/19425156

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2009-5-8
pubmed:abstractText
Gene transfer is a major contributing factor to functional innovation in genomes. Endosymbiotic gene transfer (EGT) is a specific instance of lateral gene transfer (LGT) in which genetic materials are acquired by the host genome from an endosymbiont that has been engulfed and retained in the cytoplasm. Here we present a comprehensive approach for detecting gene transfer within a phylogenetic framework. We applied the approach to examine EGT of red algal genes into Thalassiosira pseudonana, a free-living diatom for which a complete genome sequence has recently been determined. Out of 11,390 predicted protein-coding sequences from the genome of T. pseudonana, 124 (1.1%, clustered into 80 gene families) are inferred to be of red algal origin (bootstrap support >or= 75%). Of these 80 gene families, 22 (27.5%) encode novel, unknown functions. We found 21.3% of the gene families to putatively encode non-plastid-targeted proteins. Our results suggest that EGT of red algal genes provides a relatively minor contribution to the nuclear genome of the diatom, but the transferred genes have functions that extend beyond photosynthesis. This assertion awaits experimental validation. Whereas the current study is focused within the context of secondary endosymbiosis, our approach can be applied to large-scale detection of gene transfer in any system.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0919-9454
pubmed:author
pubmed:issnType
Print
pubmed:volume
21
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
165-76
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
A phylogenomic approach for studying plastid endosymbiosis.
pubmed:affiliation
Interdisciplinary Genetics Program, University of Iowa, Iowa City, IA 52242, USA. ahmed-moustafa@uiowa.edu
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural