↓ Skip to main content

Insights into the degradation capacities of Amycolatopsis tucumanensis DSM 45259 guided by microarray data

Overview of attention for article published in World Journal of Microbiology and Biotechnology, October 2016
Altmetric Badge

About this Attention Score

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

Mentioned by

twitter
2 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
21 Mendeley
Title
Insights into the degradation capacities of Amycolatopsis tucumanensis DSM 45259 guided by microarray data
Published in
World Journal of Microbiology and Biotechnology, October 2016
DOI 10.1007/s11274-016-2163-8
Pubmed ID
Authors

Natalia Bourguignon, Rafael Bargiela, David Rojo, Tatyana N. Chernikova, Sara A. López de Rodas, Jesús García-Cantalejo, Daniela J. Näther, Peter N. Golyshin, Coral Barbas, Marcela Ferrero, Manuel Ferrer

Abstract

The analysis of catabolic capacities of microorganisms is currently often achieved by cultivation approaches and by the analysis of genomic or metagenomic datasets. Recently, a microarray system designed from curated key aromatic catabolic gene families and key alkane degradation genes was designed. The collection of genes in the microarray can be exploited to indicate whether a given microbe or microbial community is likely to be functionally connected with certain degradative phenotypes, without previous knowledge of genome data. Herein, this microarray was applied to capture new insights into the catabolic capacities of copper-resistant actinomycete Amycolatopsis tucumanensis DSM 45259. The array data support the presumptive ability of the DSM 45259 strain to utilize single alkanes (n-decane and n-tetradecane) and aromatics such as benzoate, phthalate and phenol as sole carbon sources, which was experimentally validated by cultivation and mass spectrometry. Interestingly, while in strain DSM 45259 alkB gene encoding an alkane hydroxylase is most likely highly similar to that found in other actinomycetes, the genes encoding benzoate 1,2-dioxygenase, phthalate 4,5-dioxygenase and phenol hydroxylase were homologous to proteobacterial genes. This suggests that strain DSM 45259 contains catabolic genes distantly related to those found in other actinomycetes. Together, this study not only provided new insight into the catabolic abilities of strain DSM 45259, but also suggests that this strain contains genes uncommon within actinomycetes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Researcher 5 24%
Lecturer > Senior Lecturer 1 5%
Student > Bachelor 1 5%
Other 1 5%
Other 2 10%
Unknown 6 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 29%
Biochemistry, Genetics and Molecular Biology 2 10%
Mathematics 1 5%
Environmental Science 1 5%
Immunology and Microbiology 1 5%
Other 3 14%
Unknown 7 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 November 2016.
All research outputs
#15,551,440
of 23,911,072 outputs
Outputs from World Journal of Microbiology and Biotechnology
#921
of 1,757 outputs
Outputs of similar age
#190,129
of 317,560 outputs
Outputs of similar age from World Journal of Microbiology and Biotechnology
#8
of 25 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,757 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 317,560 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 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 68% of its contemporaries.