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Attention Score in Context
| Title |
pGVG: a new Gateway-compatible vector for transformation of sugarcane and other monocot crops
|
|---|---|
| Published in |
Genetics and Molecular Biology, June 2018
|
| DOI | 10.1590/1678-4685-gmb-2017-0262 |
| Pubmed ID | |
| Authors |
Giovanna V. Guidelli, Lucia Mattiello, Rafael H. Gallinari, Paulo Cezar de Lucca, Marcelo Menossi |
| Abstract |
The successful development of genetically engineered monocots using Agrobacterium-mediated transformation has created an increasing demand for compatible vectors. We have developed a new expression vector, pGVG, for efficient transformation and expression of different constructs for gene overexpression and silencing in sugarcane. The pCAMBIA2300 binary vector was modified by adding Gateway recombination sites for fast gene transfer between vectors and the maize polyubiquitin promoter Ubi-1 (ZmUbi1), which is known to drive high gene expression levels in monocots. Transformation efficiency using the pGVG vector reached up to 14 transgenic events per gram of transformed callus. Transgenic plants expressing the β-glucuronidase (GUS) reporter gene from pGVG showed high levels of GUS activity. qRT-PCR evaluations demonstrated success for both overexpression and hairpin-based silencing cassettes. Therefore, pGVG is suitable for plant transformation and subsequent applications for high-throughput production of stable transgenic sugarcane. The use of an expression cassette based on the ZmUbi1 promoter opens the possibility of using pGVG in other monocot species. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 16% |
| Student > Bachelor | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Other | 2 | 8% |
| Student > Doctoral Student | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 8 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 28% |
| Agricultural and Biological Sciences | 7 | 28% |
| Environmental Science | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Unknown | 9 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 June 2018.
All research outputs
#22,767,715
of 25,382,440 outputs
Outputs from Genetics and Molecular Biology
#647
of 772 outputs
Outputs of similar age
#299,597
of 341,432 outputs
Outputs of similar age from Genetics and Molecular Biology
#15
of 19 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 772 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.