Linked Life Data

16095742

Source:http://linkedlifedata.com/resource/pubmed/id/16095742

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2005-10-17
pubmed:abstractText
Gene transfer is a basic requirement for optimizing bioactive natural substances produced by an increasing number of industrially used microorganisms. We have analyzed quantitatively horizontal gene transfer from Escherichia coli to Actinomycetes. The efficiencies of DNA transfer of four different systems were compared that consist of conjugative and mobilizable plasmids with a broad-host range. Three novel binary vector set-ups were constructed based on: (i) the IncQ group of mobilizable plasmids (RSF1010), (ii) IncQ-like pTF-FC2 and (iii) pSB102 that belongs to a new class of broad-host-range plasmids. The established system based on the IncPalpha group of conjugative plasmids served as the reference. For all plasmids constructed, we confirmed the functional integrity of the selected transfer machineries by intrageneric matings between E. coli strains. We demonstrate that the transfer systems introduced in this study are efficient in mediating gene transfer from E. coli to Actinomycetes and are possible alternatives for gene transfer into Actinomycetes for which the IncPalpha-based transfer system is not applicable. The use of plasmids that integrate into the recipients' chromosomes compared to that of plasmids replicating autonomously is shown to allow the access to a wider range of hosts.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0168-1656
pubmed:author
pubmed:issnType
Print
pubmed:day
4
pubmed:volume
120
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
146-61
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Introduction of DNA into Actinomycetes by bacterial conjugation from E. coli--an evaluation of various transfer systems.
pubmed:affiliation
Max-Planck-Institut für Molekulare Genetik, Ihnestrasse 63-73, D-14195 Berlin, Germany.
pubmed:publicationType
Journal Article, Comparative Study, Evaluation Studies