You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of an efficient conjugation-based genetic manipulation system for Pseudoalteromonas
|
|---|---|
| Published in |
Microbial Cell Factories, January 2015
|
| DOI | 10.1186/s12934-015-0194-8 |
| Pubmed ID | |
| Authors |
Pengxia Wang, Zichao Yu, Baiyuan Li, Xingsheng Cai, Zhenshun Zeng, Xiulan Chen, Xiaoxue Wang |
| Abstract |
Pseudoalteromonas is commonly found throughout the world¿s oceans, and has gained increased attention due to the ecological and biological significance. Although over fifty Pseudoalteromonas genomes have been sequenced with an aim to explore the adaptive strategies in different habitats, in vivo studies are hampered by the lack of effective genetic manipulation systems for most strains in this genus. Here, nine Pseudoalteromonas strains isolated from different habitats were selected and used as representative strains to develop a universal genetic manipulation system. Erythromycin and chloramphenicol resistance were chosen as selection markers based on antibiotics resistance test of the nine strains. A conjugation protocol based on the RP4 conjugative machinery in E. coli WM3064 was developed to overcome current limitations of genetic manipulation in Pseudoalteromonas. Two mobilizable gene expression shuttle vectors (pWD2-oriT and pWD2Ery-oriT) were constructed, and conjugation efficiency of pWD2-oriT from E. coli to the nine Pseudoalteromonas strains ranged from 10¿6 to 10¿3 transconjugants per recipient cells. Two suicide vectors, pK18mobsacB-Cm and pK18mobsacB-Ery (with sacB for counter-selection), were constructed for gene knockout. To verify the feasibility of this system, we selected gene or operon that may lead to phenotypic change once disrupted as targets to facilitate in vivo functional confirmation. Successful deletions of two genes related to prodigiosin biosynthesis (pigMK) in P. rubra DSM 6842, one biofilm related gene (bsmA) in P. sp. SM9913, one gene related to melanin hyperproduction (hmgA) in P. lipolytica SCSIO 04301 and two flagella-related genes (fliF and fliG) in P. sp. SCSIO 11900 were verified, respectively. In addition, complementation of hmgA using shuttle vector pWD2-oriT was rescued the phenotype caused by deletion of chromosomal copy of hmgA in P. lipolytica SCSIO 04301. Taken together, we demonstrate that the vectors and the conjugative protocol developed here have potential to use in various Pseudoalteromonas strains. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 176 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 16% |
| Student > Master | 29 | 16% |
| Student > Bachelor | 21 | 12% |
| Researcher | 16 | 9% |
| Student > Doctoral Student | 15 | 8% |
| Other | 25 | 14% |
| Unknown | 43 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 60 | 34% |
| Agricultural and Biological Sciences | 38 | 21% |
| Immunology and Microbiology | 9 | 5% |
| Chemistry | 5 | 3% |
| Engineering | 3 | 2% |
| Other | 13 | 7% |
| Unknown | 50 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 12 February 2021.
All research outputs
#7,355,930
of 25,373,627 outputs
Outputs from Microbial Cell Factories
#500
of 1,823 outputs
Outputs of similar age
#93,065
of 359,325 outputs
Outputs of similar age from Microbial Cell Factories
#12
of 36 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,823 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 71% 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 359,325 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.