↓ Skip to main content

Presence does not imply activity: DNA and RNA patterns differ in response to salt perturbation in anaerobic digestion

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, November 2016
Altmetric Badge

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 (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
103 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
Presence does not imply activity: DNA and RNA patterns differ in response to salt perturbation in anaerobic digestion
Published in
Biotechnology for Biofuels and Bioproducts, November 2016
DOI 10.1186/s13068-016-0652-5
Pubmed ID
Authors

Jo De Vrieze, Leticia Regueiro, Ruben Props, Ramiro Vilchez-Vargas, Ruy Jáuregui, Dietmar H. Pieper, Juan M. Lema, Marta Carballa

Abstract

The microbial community in anaerobic digestion is mainly monitored by means of DNA-based methods. This may lead to incorrect interpretation of the community parameters, because microbial abundance does not necessarily reflect activity. In this research, the difference between microbial community response on DNA (total community) and RNA (active community) based on the 16S rRNA (gene) with respect to salt concentration and response time was evaluated. The application of higher NaCl concentrations resulted in a decrease in methane production. A stronger and faster response to salt concentration was observed on RNA level. This was reflected in terms of microbial community composition and organization, as richness, evenness, and overall diversity were differentially impacted. A higher divergence of community structure was observed on RNA level as well, indicating that total community composition depends on deterministic processes, while the active community is determined by stochastic processes. Methanosaeta was identified as the most abundant methanogen on DNA level, but its relative abundance decreased on RNA level, related to salt perturbation. This research demonstrated the need for RNA-based community screening to obtain reliable information on actual community parameters and to identify key species that determine process stability.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 102 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 27%
Researcher 18 17%
Student > Master 15 15%
Student > Doctoral Student 7 7%
Student > Bachelor 6 6%
Other 9 9%
Unknown 20 19%
Readers by discipline Count As %
Environmental Science 24 23%
Agricultural and Biological Sciences 18 17%
Engineering 13 13%
Biochemistry, Genetics and Molecular Biology 8 8%
Immunology and Microbiology 5 5%
Other 7 7%
Unknown 28 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 December 2017.
All research outputs
#6,275,484
of 25,373,627 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#369
of 1,578 outputs
Outputs of similar age
#87,822
of 319,126 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#8
of 45 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 75th 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 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 319,126 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 72% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.