↓ Skip to main content

Bacteriophage application restores ethanol fermentation characteristics disrupted by Lactobacillusfermentum

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, September 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
5 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
66 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Bacteriophage application restores ethanol fermentation characteristics disrupted by Lactobacillusfermentum
Published in
Biotechnology for Biofuels and Bioproducts, September 2015
DOI 10.1186/s13068-015-0325-9
Pubmed ID
Authors

Mei Liu, Kenneth M. Bischoff, Jason J. Gill, Miranda D. Mire-Criscione, Joel D. Berry, Ry Young, Elizabeth J. Summer

Abstract

Contamination of corn mash by lactic acid bacteria (LAB) reduces the efficiency of the ethanol fermentation process. The industry relies heavily on antibiotics for contamination control and there is a need to develop alternative methods. The goals of this study were to determine the diversity and abundance of bacteria contaminating commercial ethanol fermentations, and to evaluate the potential of anti-LAB bacteriophages in controlling production losses. Bacterial populations in 27 corn mash samples collected from nine different commercial plants were determined by pyrosequencing of 16S rRNA amplicons. The results showed that the most abundant bacteria (>50 % of total population) in 24 of the 27 samples included LAB genera such as Lactobacillus, Streptococcus, Lactococcus, Weissella, Enterococcus, and Pediococcus. Lactobacillus was identified as the most prevalent genus at all fermentation stages in all plants, accounting for between 2.3 and 93.7 % of each population and constituting the major genus (>50 %) in nine samples from five plants and the most abundant genus in five other samples. Lactobacillus species, including L. delbrueckii, L. fermentum, L. mucosae, and L. reuteri were the most well-represented species. Two bacteriophages that target L. fermentum strains from ethanol plants, vB_LfeS_EcoSau and vB_LfeM_EcoInf (EcoSau and EcoInf), were isolated and characterized as a siphophage and a myophage, respectively. Analysis of the 31,703 bp genome of EcoSau revealed its similarity to the P335-like phage group, and the 106,701 bp genome of phage EcoInf was determined to be a novel phage type despite its distant relationship to the SPO1-like phages. Addition of phages EcoSau and EcoInf to L. fermentum-contaminated corn mash fermentation models restored the yields of ethanol and reduced levels of residual glucose, lactic acid, and acetic acid to that comparable to the infection-free control. This study provides detailed insight into the microbiota contaminating commercial ethanol fermentations, and highlights the abundance of LAB, especially L. delbrueckii, L. fermentum, L. mucosae, and L. reuteri, in the process. This study suggests that phages with broad coverage of major LAB species can be applied directly to corn mash for antibiotic-free control of contamination in the ethanol fermentation industry.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Unknown 65 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 18%
Student > Bachelor 11 17%
Researcher 9 14%
Other 7 11%
Student > Ph. D. Student 4 6%
Other 4 6%
Unknown 19 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 26%
Biochemistry, Genetics and Molecular Biology 12 18%
Immunology and Microbiology 6 9%
Chemistry 4 6%
Energy 2 3%
Other 6 9%
Unknown 19 29%
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 20 June 2016.
All research outputs
#4,127,039
of 25,374,917 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#222
of 1,578 outputs
Outputs of similar age
#49,503
of 277,644 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#3
of 41 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 85% 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 277,644 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 82% of its contemporaries.
We're also able to compare this research output to 41 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 92% of its contemporaries.