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Comparative genomics and metabolic profiling of the genus Lysobacter

Overview of attention for article published in BMC Genomics, November 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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1 news outlet
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4 X users
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1 patent

Citations

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100 Dimensions

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108 Mendeley
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Title
Comparative genomics and metabolic profiling of the genus Lysobacter
Published in
BMC Genomics, November 2015
DOI 10.1186/s12864-015-2191-z
Pubmed ID
Authors

Irene de Bruijn, Xu Cheng, Victor de Jager, Ruth Gómez Expósito, Jeramie Watrous, Nrupali Patel, Joeke Postma, Pieter C. Dorrestein, Donald Kobayashi, Jos M. Raaijmakers

Abstract

Lysobacter species are Gram-negative bacteria widely distributed in soil, plant and freshwater habitats. Lysobacter owes its name to the lytic effects on other microorganisms. To better understand their ecology and interactions with other (micro)organisms, five Lysobacter strains representing the four species L. enzymogenes, L. capsici, L. gummosus and L. antibioticus were subjected to genomics and metabolomics analyses. Comparative genomics revealed a diverse genome content among the Lysobacter species with a core genome of 2,891 and a pangenome of 10,028 coding sequences. Genes encoding type I, II, III, IV, V secretion systems and type IV pili were highly conserved in all five genomes, whereas type VI secretion systems were only found in L. enzymogenes and L. gummosus. Genes encoding components of the flagellar apparatus were absent in the two sequenced L. antibioticus strains. The genomes contained a large number of genes encoding extracellular enzymes including chitinases, glucanases and peptidases. Various nonribosomal peptide synthase (NRPS) and polyketide synthase (PKS) gene clusters encoding putative bioactive metabolites were identified but only few of these clusters were shared between the different species. Metabolic profiling by imaging mass spectrometry complemented, in part, the in silico genome analyses and allowed visualisation of the spatial distribution patterns of several secondary metabolites produced by or induced in Lysobacter species during interactions with the soil-borne fungus Rhizoctonia solani. Our work shows that mining the genomes of Lysobacter species in combination with metabolic profiling provides novel insights into the genomic and metabolic potential of this widely distributed but understudied and versatile bacterial genus.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
Brazil 1 <1%
Unknown 106 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 31%
Student > Master 18 17%
Researcher 12 11%
Student > Bachelor 7 6%
Professor > Associate Professor 6 6%
Other 17 16%
Unknown 15 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 37%
Biochemistry, Genetics and Molecular Biology 24 22%
Chemistry 7 6%
Immunology and Microbiology 4 4%
Environmental Science 3 3%
Other 12 11%
Unknown 18 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 10 November 2022.
All research outputs
#2,457,209
of 24,784,213 outputs
Outputs from BMC Genomics
#678
of 11,066 outputs
Outputs of similar age
#40,154
of 397,356 outputs
Outputs of similar age from BMC Genomics
#26
of 390 outputs
Altmetric has tracked 24,784,213 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,066 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 93% 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 397,356 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 390 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.