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Induction, expression and characterisation of laccase genes from the marine-derived fungal strains Nigrospora sp. CBMAI 1328 and Arthopyrenia sp. CBMAI 1330

Overview of attention for article published in AMB Express, March 2015
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Title
Induction, expression and characterisation of laccase genes from the marine-derived fungal strains Nigrospora sp. CBMAI 1328 and Arthopyrenia sp. CBMAI 1330
Published in
AMB Express, March 2015
DOI 10.1186/s13568-015-0106-7
Pubmed ID
Authors

Michel Rodrigo Zambrano Passarini, Cristiane Angelica Ottoni, Cledir Santos, Nelson Lima, Lara Durães Sette

Abstract

The capability of the fungi Nigrospora sp. CBMAI 1328 and Arthopyrenia sp. CBMAI 1330 isolated from marine sponge to synthesise laccases (Lcc) in the presence of the inducer copper (1-10 μM) was assessed. In a liquid culture medium supplemented with 5 μM of copper sulphate after 5 days of incubation, Nigrospora sp. presented the highest Lcc activity (25.2 U·L(-1)). The effect of copper on Lcc gene expression was evaluated by reverse transcriptase polymerase chain reaction. Nigrospora sp. showed the highest gene expression of Lcc under the same conditions of Lcc synthesis. The highest Lcc expression by the Arthopyrenia sp. was detected at 96 h of incubation in absence of copper. Molecular approaches allowed the detection of Lcc isozymes and suggest the presence of at least two undescribed putative genes. Additionally, Lcc sequences from the both fungal strains clustered with other Lcc sequences from other fungi that inhabit marine environments.

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The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 25%
Student > Ph. D. Student 10 17%
Professor 7 12%
Researcher 6 10%
Student > Doctoral Student 4 7%
Other 6 10%
Unknown 12 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 25%
Biochemistry, Genetics and Molecular Biology 12 20%
Computer Science 7 12%
Environmental Science 4 7%
Engineering 3 5%
Other 5 8%
Unknown 14 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 March 2015.
All research outputs
#15,326,126
of 22,794,367 outputs
Outputs from AMB Express
#445
of 1,234 outputs
Outputs of similar age
#153,847
of 259,193 outputs
Outputs of similar age from AMB Express
#7
of 17 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,234 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 40th percentile – i.e., 40% 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 259,193 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.