↓ Skip to main content

The essential genome of Streptococcus agalactiae

Overview of attention for article published in BMC Genomics, May 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
72 Mendeley
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.
Title
The essential genome of Streptococcus agalactiae
Published in
BMC Genomics, May 2016
DOI 10.1186/s12864-016-2741-z
Pubmed ID
Authors

Thomas A. Hooven, Andrew J. Catomeris, Leor H. Akabas, Tara M. Randis, Duncan J. Maskell, Sarah E. Peters, Sandra Ott, Ivette Santana-Cruz, Luke J. Tallon, Hervé Tettelin, Adam J. Ratner

Abstract

Next-generation sequencing of transposon-genome junctions from a saturated bacterial mutant library (Tn-seq) is a powerful tool that permits genome-wide determination of the contribution of genes to fitness of the organism under a wide range of experimental conditions. We report development, testing, and results from a Tn-seq system for use in Streptococcus agalactiae (group B Streptococcus; GBS), an important cause of neonatal sepsis. Our method uses a Himar1 mini-transposon that inserts at genomic TA dinucleotide sites, delivered to GBS on a temperature-sensitive plasmid that is subsequently cured from the bacterial population. In order to establish the GBS essential genome, we performed Tn-seq on DNA collected from three independent mutant libraries-with at least 135,000 mutants per library-at serial 24 h time points after outgrowth in rich media. After statistical analysis of transposon insertion density and distribution, we identified 13.5 % of genes as essential and 1.2 % as critical, with high levels of reproducibility. Essential and critical genes are enriched for fundamental cellular housekeeping functions, such as acyl-tRNA biosynthesis, nucleotide metabolism, and glycolysis. We further validated our system by comparing fitness assignments of homologous genes in GBS and a close bacterial relative, Streptococcus pyogenes, which demonstrated 93 % concordance. Finally, we used our fitness assignments to identify signal transduction pathway components predicted to be essential or critical in GBS. We believe that our baseline fitness assignments will be a valuable tool for GBS researchers and that our system has the potential to reveal key pathogenesis gene networks and potential therapeutic/preventative targets.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
France 1 1%
Canada 1 1%
Unknown 69 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 18%
Student > Bachelor 9 13%
Researcher 9 13%
Student > Doctoral Student 7 10%
Student > Master 7 10%
Other 17 24%
Unknown 10 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 25%
Biochemistry, Genetics and Molecular Biology 18 25%
Medicine and Dentistry 8 11%
Immunology and Microbiology 8 11%
Veterinary Science and Veterinary Medicine 4 6%
Other 3 4%
Unknown 13 18%

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 September 2017.
All research outputs
#3,176,767
of 11,753,826 outputs
Outputs from BMC Genomics
#2,068
of 6,985 outputs
Outputs of similar age
#86,326
of 277,953 outputs
Outputs of similar age from BMC Genomics
#58
of 199 outputs
Altmetric has tracked 11,753,826 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 6,985 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 69% 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 277,953 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 68% of its contemporaries.
We're also able to compare this research output to 199 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 69% of its contemporaries.