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Plasmid to generate Mycobacteria mutants

Overview of attention for article published in AMB Express, February 2018
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4 X users

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18 Mendeley
Title
Plasmid to generate Mycobacteria mutants
Published in
AMB Express, February 2018
DOI 10.1186/s13568-018-0537-z
Pubmed ID
Authors

Qi Deng, Jianzhou Meng, Yan Guan, Yishuang Liu, Chunling Xiao

Abstract

The generation of conditional mutants has been an effective approach to studying bacteria and validating drug targets, and mutants of Mycobacteria are no exception. However unlike other bacteria, there is still a paucity of available tools for Mycobacteria. We constructed a new plasmid containing tetracycline-repressive expression system (TetRr1.7) and Xer Site-Specific recombinase system to generate label-free controllable expression strains. The plasmid was subsequently used to construct a strain of M. tuberculosis expressing the only copy of D-alanine:D-alanine ligase under the control of the tetracycline-repressive promoter. The results showed that the mutant strain lost the ability of colony formation, became more sensitive to D-cycloserine and the cell wall of the mutant strain was disrupted when anhydrotetracycline was added to the medium. Taken together these observations, confirmed that the expression of D-alanine:D-alanine ligase was tightly controlled by the promoter. In conclusion, the new plasmid is a convenient tool for constructing stable conditional mutant strains in Mycobacteria and can be used for future target identification.

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Other 2 11%
Researcher 2 11%
Student > Bachelor 1 6%
Unknown 7 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 39%
Immunology and Microbiology 2 11%
Veterinary Science and Veterinary Medicine 1 6%
Social Sciences 1 6%
Unknown 7 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 February 2018.
All research outputs
#14,965,143
of 23,018,998 outputs
Outputs from AMB Express
#349
of 1,241 outputs
Outputs of similar age
#255,599
of 440,103 outputs
Outputs of similar age from AMB Express
#14
of 48 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,241 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 64% 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 440,103 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 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 68% of its contemporaries.