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The pangenome of (Antarctic) Pseudoalteromonas bacteria: evolutionary and functional insights

Overview of attention for article published in BMC Genomics, January 2017
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Title
The pangenome of (Antarctic) Pseudoalteromonas bacteria: evolutionary and functional insights
Published in
BMC Genomics, January 2017
DOI 10.1186/s12864-016-3382-y
Pubmed ID
Authors

Emanuele Bosi, Marco Fondi, Valerio Orlandini, Elena Perrin, Isabel Maida, Donatella de Pascale, Maria Luisa Tutino, Ermenegilda Parrilli, Angelina Lo Giudice, Alain Filloux, Renato Fani

Abstract

Pseudoalteromonas is a genus of ubiquitous marine bacteria used as model organisms to study the biological mechanisms involved in the adaptation to cold conditions. A remarkable feature shared by these bacteria is their ability to produce secondary metabolites with a strong antimicrobial and antitumor activity. Despite their biotechnological relevance, representatives of this genus are still lacking (with few exceptions) an extensive genomic characterization, including features involved in the evolution of secondary metabolites production. Indeed, biotechnological applications would greatly benefit from such analysis. Here, we analyzed the genomes of 38 strains belonging to different Pseudoalteromonas species and isolated from diverse ecological niches, including extreme ones (i.e. Antarctica). These sequences were used to reconstruct the largest Pseudoalteromonas pangenome computed so far, including also the two main groups of Pseudoalteromonas strains (pigmented and not pigmented strains). The downstream analyses were conducted to describe the genomic diversity, both at genus and group levels. This allowed highlighting a remarkable genomic heterogeneity, even for closely related strains. We drafted all the main evolutionary steps that led to the current structure and gene content of Pseudoalteromonas representatives. These, most likely, included an extensive genome reduction and a strong contribution of Horizontal Gene Transfer (HGT), which affected biotechnologically relevant gene sets and occurred in a strain-specific fashion. Furthermore, this study also identified the genomic determinants related to some of the most interesting features of the Pseudoalteromonas representatives, such as the production of secondary metabolites, the adaptation to cold temperatures and the resistance to abiotic compounds. This study poses the bases for a comprehensive understanding of the evolutionary trajectories followed in time by this peculiar bacterial genus and for a focused exploitation of their biotechnological potential.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 1%
United States 1 <1%
Unknown 156 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 21%
Researcher 27 17%
Student > Master 23 14%
Student > Bachelor 18 11%
Professor > Associate Professor 7 4%
Other 19 12%
Unknown 31 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 28%
Biochemistry, Genetics and Molecular Biology 38 24%
Environmental Science 13 8%
Immunology and Microbiology 6 4%
Earth and Planetary Sciences 5 3%
Other 15 9%
Unknown 38 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 25 January 2017.
All research outputs
#3,247,902
of 24,546,092 outputs
Outputs from BMC Genomics
#1,135
of 11,007 outputs
Outputs of similar age
#64,335
of 427,002 outputs
Outputs of similar age from BMC Genomics
#33
of 220 outputs
Altmetric has tracked 24,546,092 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,007 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 89% 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 427,002 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 84% of its contemporaries.
We're also able to compare this research output to 220 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.