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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Overcoming the Barrier of Low Efficiency during Genetic Transformation of Streptococcus mitis
|
|---|---|
| Published in |
Frontiers in Microbiology, July 2016
|
| DOI | 10.3389/fmicb.2016.01009 |
| Pubmed ID | |
| Authors |
Gabriela Salvadori, Roger Junges, Donald A. Morrison, Fernanda C. Petersen |
| Abstract |
Streptococcus mitis is a predominant oral colonizer, but difficulties in genetic manipulation of this species have hampered our understanding of the mechanisms it uses for colonization of oral surfaces. The aim of this study was to reveal optimal conditions for natural genetic transformation in S. mitis and illustrate its application in direct genome editing. Luciferase reporter assays were used to assess gene expression of the alternative sigma factor (σ(X)) in combination with natural transformation experiments to evaluate the efficiency by which S. mitis activates the competence system and incorporates exogenous DNA. Optimal amounts and sources of donor DNA (chromosomal, amplicon, or replicative plasmid), concentrations of synthetic competence-stimulating peptide, and transformation media were assessed. A semi-defined medium showed much improved results for response to the competence stimulating peptide when compared to rich media. The use of a donor amplicon with large homology flanking regions also provided higher transformation rates. Overall, an increase of transformation efficiencies from 0.001% or less to over 30% was achieved with the developed protocol. We further describe the construction of a markerless mutant based on this high efficiency strategy. We optimized competence development in S. mitis, by use of semi-defined medium and appropriate concentrations of synthetic competence factor. Combined with the use of a large amplicon of donor DNA, this method allowed easy and direct editing of the S. mitis genome, broadening the spectrum of possible downstream applications of natural transformation in this species. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 20% |
| Researcher | 5 | 17% |
| Student > Ph. D. Student | 4 | 13% |
| Professor > Associate Professor | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 8 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 23% |
| Agricultural and Biological Sciences | 6 | 20% |
| Engineering | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 5 | 17% |
| Unknown | 8 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 11 June 2017.
All research outputs
#3,728,995
of 22,880,230 outputs
Outputs from Frontiers in Microbiology
#3,546
of 24,902 outputs
Outputs of similar age
#66,932
of 355,070 outputs
Outputs of similar age from Frontiers in Microbiology
#121
of 498 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,902 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 355,070 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 498 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.