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A computationally simplistic poly-phasic approach to explore microbial communities from the Yucatan aquifer as a potential sources of novel natural products

Overview of attention for article published in Journal of Microbiology, October 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

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1 blog

Citations

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3 Dimensions

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mendeley
29 Mendeley
Title
A computationally simplistic poly-phasic approach to explore microbial communities from the Yucatan aquifer as a potential sources of novel natural products
Published in
Journal of Microbiology, October 2016
DOI 10.1007/s12275-016-6092-x
Pubmed ID
Authors

Miguel David Marfil-Santana, Aileen O’Connor-Sánchez, Jorge Humberto Ramírez-Prado, Cesar De los Santos-Briones, López-Aguiar, Korynthia Lluvia, Rafael Rojas-Herrera, Asunción Lago-Lestón, Alejandra Prieto-Davó

Abstract

The need for new antibiotics has sparked a search for the microbes that might potentially produce them. Current sequencing technologies allow us to explore the biotechnological potential of microbial communities in diverse environments without the need for cultivation, benefitting natural product discovery in diverse ways. A relatively recent method to search for the possible production of novel compounds includes studying the diverse genes belonging to polyketide synthase pathways (PKS), as these complex enzymes are an important source of novel therapeutics. In order to explore the biotechnological potential of the microbial community from the largest underground aquifer in the world located in the Yucatan, we used a polyphasic approach in which a simple, non-computationally intensive method was coupled with direct amplification of environmental DNA to assess the diversity and novelty of PKS type I ketosynthase (KS) domains. Our results suggest that the bioinformatic method proposed can indeed be used to assess the novelty of KS enzymes; nevertheless, this in silico study did not identify some of the KS diversity due to primer bias and stringency criteria outlined by the metagenomics pipeline. Therefore, additionally implementing a method involving the direct cloning of KS domains enhanced our results. Compared to other freshwater environments, the aquifer was characterized by considerably less diversity in relation to known ketosynthase domains; however, the metagenome included a family of KS type I domains phylogenetically related, but not identical, to those found in the curamycin pathway, as well as an outstanding number of thiolases. Over all, this first look into the microbial community found in this large Yucatan aquifer and other fresh water free living microbial communities highlights the potential of these previously overlooked environments as a source of novel natural products.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 7%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 24%
Researcher 3 10%
Student > Doctoral Student 3 10%
Professor 3 10%
Student > Ph. D. Student 3 10%
Other 7 24%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 45%
Biochemistry, Genetics and Molecular Biology 7 24%
Immunology and Microbiology 2 7%
Social Sciences 2 7%
Earth and Planetary Sciences 2 7%
Other 1 3%
Unknown 2 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 November 2016.
All research outputs
#6,148,784
of 23,975,976 outputs
Outputs from Journal of Microbiology
#117
of 842 outputs
Outputs of similar age
#89,528
of 316,678 outputs
Outputs of similar age from Journal of Microbiology
#4
of 7 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 842 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 85% 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 316,678 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 71% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.