Linked Life Data

18535352

Source:http://linkedlifedata.com/resource/pubmed/id/18535352

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2008-6-6
pubmed:abstractText
Issues related to the nicotine content of tobacco have been public concerns. Several reports have described decreasing nicotine levels by silencing the putrescine N-methyltransferase (PMT) genes, but the reported variations of nicotine levels among transgenic lines are relatively low in general. Here we describe the generation in tobacco (Nicotiana tabacum) lines with widely different, reduced nicotine levels using three kinds of RNA-silencing approaches. The relative efficacies of suppression were compared among the three approaches regarding the aspect of nicotine level in tobacco leaves. By suppressing expression of the PMT genes, over 200 transgenic lines were obtained with nicotine levels reduced by 9.1-96.7%. RNA interference (RNAi) was the most efficient method of reducing the levels of nicotine,whereas cosuppression and antisense methods were less effective. This report gives clues to the efficient generation of plants with a variety of metabolite levels, and the results demonstrate the relative efficiencies of various RNA-silencing methods.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0250-5991
pubmed:author
pubmed:issnType
Print
pubmed:volume
33
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
177-84
pubmed:dateRevised
2009-11-3
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Generation of tobacco lines with widely different reduction in nicotine levels via RNA silencing approaches.
pubmed:affiliation
State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan-SJTU-Nottingham Plant Biotechnology R and D Center, Morgan-Tan International Center for Life Sciences, Fudan University, Shanghai 200433, China.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't