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FabR regulates Salmonella biofilm formation via its direct target FabB

Overview of attention for article published in BMC Genomics, March 2016
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Title
FabR regulates Salmonella biofilm formation via its direct target FabB
Published in
BMC Genomics, March 2016
DOI 10.1186/s12864-016-2387-x
Pubmed ID
Authors

Kim Hermans, Stefanie Roberfroid, Inge M. Thijs, Gwendoline Kint, David De Coster, Kathleen Marchal, Jos Vanderleyden, Sigrid C. J. De Keersmaecker, Hans P. Steenackers

Abstract

Biofilm formation is an important survival strategy of Salmonella in all environments. By mutant screening, we showed a knock-out mutant of fabR, encoding a repressor of unsaturated fatty acid biosynthesis (UFA), to have impaired biofilm formation. In order to unravel how this regulator impinges on Salmonella biofilm formation, we aimed at elucidating the S. Typhimurium FabR regulon. Hereto, we applied a combinatorial high-throughput approach, combining ChIP-chip with transcriptomics. All the previously identified E. coli FabR transcriptional target genes (fabA, fabB and yqfA) were shown to be direct S. Typhimurium FabR targets as well. As we found a fabB overexpressing strain to partly mimic the biofilm defect of the fabR mutant, the effect of FabR on biofilms can be attributed at least partly to FabB, which plays a key role in UFA biosynthesis. Additionally, ChIP-chip identified a number of novel direct FabR targets (the intergenic regions between hpaR/hpaG and ddg/ydfZ) and yet putative direct targets (i.a. genes involved in tRNA metabolism, ribosome synthesis and translation). Next to UFA biosynthesis, a number of these direct targets and other indirect targets identified by transcriptomics (e.g. ribosomal genes, ompA, ompC, ompX, osmB, osmC, sseI), could possibly contribute to the effect of FabR on biofilm formation. Overall, our results point at the importance of FabR and UFA biosynthesis in Salmonella biofilm formation and their role as potential targets for biofilm inhibitory strategies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Student > Master 9 23%
Researcher 7 18%
Other 3 8%
Student > Bachelor 2 5%
Other 3 8%
Unknown 5 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 35%
Biochemistry, Genetics and Molecular Biology 9 23%
Immunology and Microbiology 6 15%
Social Sciences 2 5%
Veterinary Science and Veterinary Medicine 1 3%
Other 2 5%
Unknown 6 15%
Attention Score in Context

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 26 May 2016.
All research outputs
#17,795,140
of 22,858,915 outputs
Outputs from BMC Genomics
#7,573
of 10,661 outputs
Outputs of similar age
#205,858
of 300,114 outputs
Outputs of similar age from BMC Genomics
#180
of 227 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,661 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 300,114 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 227 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.