Title |
De Novo Transcriptome Sequence Assembly and Analysis of RNA Silencing Genes of Nicotiana benthamiana
|
---|---|
Published in |
PLOS ONE, March 2013
|
DOI | 10.1371/journal.pone.0059534 |
Pubmed ID | |
Authors |
Kenlee Nakasugi, Ross N. Crowhurst, Julia Bally, Craig C. Wood, Roger P. Hellens, Peter M. Waterhouse |
Abstract |
Nicotiana benthamiana has been widely used for transient gene expression assays and as a model plant in the study of plant-microbe interactions, lipid engineering and RNA silencing pathways. Assembling the sequence of its transcriptome provides information that, in conjunction with the genome sequence, will facilitate gaining insight into the plant's capacity for high-level transient transgene expression, generation of mobile gene silencing signals, and hyper-susceptibility to viral infection. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 29% |
Germany | 2 | 29% |
France | 1 | 14% |
Argentina | 1 | 14% |
United States | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 71% |
Members of the public | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | <1% |
France | 2 | <1% |
Germany | 2 | <1% |
Brazil | 2 | <1% |
United Kingdom | 2 | <1% |
Australia | 1 | <1% |
Colombia | 1 | <1% |
Hungary | 1 | <1% |
India | 1 | <1% |
Other | 6 | 3% |
Unknown | 215 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 67 | 29% |
Researcher | 57 | 24% |
Student > Master | 25 | 11% |
Student > Bachelor | 14 | 6% |
Student > Postgraduate | 11 | 5% |
Other | 30 | 13% |
Unknown | 31 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 154 | 66% |
Biochemistry, Genetics and Molecular Biology | 32 | 14% |
Computer Science | 5 | 2% |
Immunology and Microbiology | 2 | <1% |
Environmental Science | 2 | <1% |
Other | 9 | 4% |
Unknown | 31 | 13% |