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The evolution and population structure of Lactobacillus fermentum from different naturally fermented products as determined by multilocus sequence typing (MLST)

Overview of attention for article published in BMC Microbiology, May 2015
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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1 tweeter
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1 patent

Citations

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15 Dimensions

Readers on

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28 Mendeley
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Title
The evolution and population structure of Lactobacillus fermentum from different naturally fermented products as determined by multilocus sequence typing (MLST)
Published in
BMC Microbiology, May 2015
DOI 10.1186/s12866-015-0447-z
Pubmed ID
Authors

Tong Dan, Wenjun Liu, Yuqin Song, Haiyan Xu, Bilige Menghe, Heping Zhang, Zhihong Sun

Abstract

Lactobacillus fermentum is economically important in the production and preservation of fermented foods. A repeatable and discriminative typing method was devised to characterize L. fermentum at the molecular level. The multilocus sequence typing (MLST) scheme developed was based on analysis of the internal sequence of 11 housekeeping gene fragments (clpX, dnaA, dnaK, groEL, murC, murE, pepX, pyrG, recA, rpoB, and uvrC). MLST analysis of 203 isolates of L. fermentum from Mongolia and seven provinces/ autonomous regions in China identified 57 sequence types (ST), 27 of which were represented by only a single isolate, indicating high genetic diversity. Phylogenetic analyses based on the sequence of the 11 housekeeping gene fragments indicated that the L. fermentum isolates analyzed belonged to two major groups. A standardized index of association (I A (S)) indicated a weak clonal population structure in L. fermentum. Split decomposition analysis indicated that recombination played an important role in generating the genetic diversity observed in L. fermentum. The results from the minimum spanning tree strongly suggested that evolution of L. fermentum STs was not correlated with geography or food-type. The MLST scheme developed will be valuable for further studies on the evolution and population structure of L. fermentum isolates used in food products.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 32%
Student > Doctoral Student 5 18%
Student > Master 3 11%
Researcher 3 11%
Professor 2 7%
Other 3 11%
Unknown 3 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 54%
Biochemistry, Genetics and Molecular Biology 5 18%
Environmental Science 1 4%
Earth and Planetary Sciences 1 4%
Medicine and Dentistry 1 4%
Other 1 4%
Unknown 4 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 May 2015.
All research outputs
#2,452,291
of 9,541,169 outputs
Outputs from BMC Microbiology
#344
of 1,530 outputs
Outputs of similar age
#67,744
of 224,145 outputs
Outputs of similar age from BMC Microbiology
#7
of 33 outputs
Altmetric has tracked 9,541,169 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 1,530 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 76% 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 224,145 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 69% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.