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Transcriptional analysis of the cell division-related ssg genes in Streptomyces coelicolor reveals direct control of ssgR by AtrA

Overview of attention for article published in Antonie van Leeuwenhoek, May 2015
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Title
Transcriptional analysis of the cell division-related ssg genes in Streptomyces coelicolor reveals direct control of ssgR by AtrA
Published in
Antonie van Leeuwenhoek, May 2015
DOI 10.1007/s10482-015-0479-2
Pubmed ID
Authors

Songhee H. Kim, Bjørn A. Traag, Ayad H. Hasan, Kenneth J. McDowall, Byung-Gee Kim, Gilles P. van Wezel

Abstract

SsgA-like proteins are a family of actinomycete-specific regulatory proteins that control cell division and spore maturation in streptomycetes. SsgA and SsgB together activate sporulation-specific cell division by controlling the localization of FtsZ. Here we report the identification of novel regulators that control the transcription of the ssgA-like genes. Transcriptional regulators controlling ssg gene expression were identified using a DNA-affinity capture assay. Supporting transcriptional and DNA binding studies showed that the ssgA activator gene ssgR is controlled by the TetR-family regulator AtrA, while the γ-butyrolactone-responsive AdpA (SCO2792) and SlbR (SCO0608) and the metabolic regulator Rok7B7 (SCO6008) were identified as candidate regulators for the cell division genes ssgA, ssgB and ssgG. Transcription of the cell division gene ssgB depended on the sporulation genes whiA and whiH, while ssgR, ssgA and ssgD were transcribed independently of the whi genes. Our work sheds new light on the mechanisms by which sporulation-specific cell division is controlled in Streptomyces.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 17%
Researcher 5 14%
Student > Master 5 14%
Student > Ph. D. Student 3 9%
Student > Doctoral Student 3 9%
Other 5 14%
Unknown 8 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 34%
Agricultural and Biological Sciences 9 26%
Immunology and Microbiology 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Unspecified 1 3%
Other 1 3%
Unknown 9 26%
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 14 August 2015.
All research outputs
#13,944,553
of 22,807,037 outputs
Outputs from Antonie van Leeuwenhoek
#1,256
of 2,025 outputs
Outputs of similar age
#134,224
of 267,813 outputs
Outputs of similar age from Antonie van Leeuwenhoek
#26
of 59 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,025 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 267,813 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 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 50% of its contemporaries.