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Species Diversity and Functional Prediction of Surface Bacterial Communities on Aging Flue-Cured Tobaccos

Overview of attention for article published in Current Microbiology, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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1 blog
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Citations

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Title
Species Diversity and Functional Prediction of Surface Bacterial Communities on Aging Flue-Cured Tobaccos
Published in
Current Microbiology, June 2018
DOI 10.1007/s00284-018-1525-x
Pubmed ID
Authors

Fan Wang, Hongwei Zhao, Haiying Xiang, Lijun Wu, Xiao Men, Chang Qi, Guoqiang Chen, Haibo Zhang, Yi Wang, Mo Xian

Abstract

Microbes on aging flue-cured tobaccos (ATFs) improve the aroma and other qualities desirable in products. Understanding the relevant organisms would picture microbial community diversity, metabolic potential, and their applications. However, limited efforts have been made on characterizing the microbial quality and functional profiling. Herein, we present our investigation of the bacterial diversity and predicted potential genetic capability of the bacteria from two AFTs using 16S rRNA gene sequences and phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) software. The results show that dominant bacteria from AFT surfaces were classified into 48 genera, 36 families, and 7 phyla. In addition, Bacillus spp. was found prevalent on both ATFs. Furthermore, PICRUSt predictions of bacterial community functions revealed many attractive metabolic capacities in the AFT microbiota, including several involved in the biosynthesis of flavors and fragrances and the degradation of harmful compounds, such as nicotine and nitrite. These results provide insights into the importance of AFT bacteria in determining product qualities and indicate specific microbial species with predicted enzymatic capabilities for the production of high-efficiency flavors, the degradation of undesirable compounds, and the provision of nicotine and nitrite tolerance which suggest fruitful areas of investigation into the manipulation of AFT microbiota for AFT and other product improvements.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 13%
Student > Ph. D. Student 2 13%
Student > Master 2 13%
Professor 1 7%
Unspecified 1 7%
Other 2 13%
Unknown 5 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 27%
Biochemistry, Genetics and Molecular Biology 2 13%
Unspecified 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Immunology and Microbiology 1 7%
Other 1 7%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 06 June 2018.
All research outputs
#4,136,601
of 23,088,369 outputs
Outputs from Current Microbiology
#176
of 2,435 outputs
Outputs of similar age
#80,929
of 329,782 outputs
Outputs of similar age from Current Microbiology
#5
of 34 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,435 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 92% 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 329,782 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 75% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.