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Identification of a Novel Feruloyl Esterase by Functional Screening of a Soil Metagenomic Library

Overview of attention for article published in Applied Biochemistry and Biotechnology, July 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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29 Mendeley
Title
Identification of a Novel Feruloyl Esterase by Functional Screening of a Soil Metagenomic Library
Published in
Applied Biochemistry and Biotechnology, July 2018
DOI 10.1007/s12010-018-2832-1
Pubmed ID
Authors

Xuanxuan Li, Jia Guo, Yimin Hu, Yumeng Yang, Junwei Jiang, Fang Nan, Shenglu Wu, Zhihong Xin

Abstract

A cosmid metagenomic library containing 1.3 × 105 clones was created from a soil sample. A novel gene (fae-xuan) encoding a feruloyl esterase was identified through functional screening. Primary sequence analysis showed that the gene consisted of 759 base pairs and encoded a protein of 252 amino acids. The gene was expressed in Escherichia coli BL21 (DE3) and the corresponding purified recombinant enzyme exhibited a molecular weight of 29 kDa. The FAE-Xuan showed high activity (40.0 U/mg) toward methyl ferulate with an optimal temperature and pH of 30 °C and 5.0, respectively. Besides methyl ferulate, FAE-Xuan can also hydrolyze methyl sinapate and methyl p-coumarate. The substrate utilization preferences and phylogenetic analysis indicated that FAE-Xuan belongs to type A FAE. FAE-Xuan was quite stable over a broad pH range from 3.0 to 10.0. The activity reduced remarkably in presence of Cu2+. FAE-Xuan can enhance the quantity of ferulic acid from de-starched wheat bran in presence of xylanase. The work presented here highlighted the effectiveness of metagenomic strategy in identifying novel FAEs with diverse properties for potential use in industrial production.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Student > Ph. D. Student 5 17%
Student > Master 5 17%
Student > Bachelor 4 14%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 4 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 31%
Agricultural and Biological Sciences 6 21%
Computer Science 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Other 2 7%
Unknown 8 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 04 April 2019.
All research outputs
#3,610,147
of 23,094,276 outputs
Outputs from Applied Biochemistry and Biotechnology
#162
of 2,533 outputs
Outputs of similar age
#69,960
of 327,912 outputs
Outputs of similar age from Applied Biochemistry and Biotechnology
#2
of 30 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,533 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 93% 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 327,912 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 78% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.