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Investigation of Yersinia pestis Laboratory Adaptation through a Combined Genomics and Proteomics Approach

Overview of attention for article published in PLOS ONE, November 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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1 news outlet
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5 X users

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48 Mendeley
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Article details
Title
Investigation of Yersinia pestis Laboratory Adaptation through a Combined Genomics and Proteomics Approach
Published in
PLOS ONE, November 2015
DOI 10.1371/journal.pone.0142997
Pubmed ID
Authors
Abstract

The bacterial pathogen Yersinia pestis, the cause of plague in humans and animals, normally has a sylvatic lifestyle, cycling between fleas and mammals. In contrast, laboratory-grown Y. pestis experiences a more constant environment and conditions that it would not normally encounter. The transition from the natural environment to the laboratory results in a vastly different set of selective pressures, and represents what could be considered domestication. Understanding the kinds of adaptations Y. pestis undergoes as it becomes domesticated will contribute to understanding the basic biology of this important pathogen. In this study, we performed a parallel serial passage experiment (PSPE) to explore the mechanisms by which Y. pestis adapts to laboratory conditions, hypothesizing that cells would undergo significant changes in virulence and nutrient acquisition systems. Two wild strains were serially passaged in 12 independent populations each for ~750 generations, after which each population was analyzed using whole-genome sequencing, LC-MS/MS proteomic analysis, and GC/MS metabolomics. We observed considerable parallel evolution in the endpoint populations, detecting multiple independent mutations in ail, pepA, and zwf, suggesting that specific selective pressures are shaping evolutionary responses. Complementary LC-MS/MS proteomic data provide physiological context to the observed mutations, and reveal regulatory changes not necessarily associated with specific mutations, including changes in amino acid metabolism and cell envelope biogenesis. Proteomic data support hypotheses generated by genomic data in addition to suggesting future mechanistic studies, indicating that future whole-genome sequencing studies be designed to leverage proteomics as a critical complement.

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X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Canada 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Researcher 8 17%
Student > Bachelor 7 15%
Student > Doctoral Student 4 8%
Student > Master 4 8%
Other 6 13%
Unknown 6 13%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 15 31%
Biochemistry, Genetics and Molecular Biology 8 17%
Immunology and Microbiology 4 8%
Medicine and Dentistry 3 6%
Chemistry 2 4%
Other 11 23%
Unknown 5 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 18 June 2019.
All research outputs
#2,743,673
of 24,620,470 outputs
Outputs from PLOS ONE
#34,239
of 212,823 outputs
Outputs of similar age
#45,151
of 397,079 outputs
Outputs of similar age from PLOS ONE
#722
of 5,006 outputs
Altmetric has tracked 24,620,470 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 212,823 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 83% 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 397,079 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 88% of its contemporaries.
We're also able to compare this research output to 5,006 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.