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Phylotype-level 16S rRNA analysis reveals new bacterial indicators of health state in acute murine colitis

Overview of attention for article published in The ISME Journal, May 2012
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Citations

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271 Dimensions

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Title
Phylotype-level 16S rRNA analysis reveals new bacterial indicators of health state in acute murine colitis
Published in
The ISME Journal, May 2012
DOI 10.1038/ismej.2012.39
Pubmed ID
Authors

David Berry, Clarissa Schwab, Gabriel Milinovich, Jochen Reichert, Karim Ben Mahfoudh, Thomas Decker, Marion Engel, Brigitte Hai, Eva Hainzl, Susanne Heider, Lukas Kenner, Mathias Müller, Isabella Rauch, Birgit Strobl, Michael Wagner, Christa Schleper, Tim Urich, Alexander Loy

Abstract

Human inflammatory bowel disease and experimental colitis models in mice are associated with shifts in intestinal microbiota composition, but it is unclear at what taxonomic/phylogenetic level such microbiota dynamics can be indicative for health or disease. Here, we report that dextran sodium sulfate (DSS)-induced colitis is accompanied by major shifts in the composition and function of the intestinal microbiota of STAT1(-/-) and wild-type mice, as determined by 454 pyrosequencing of bacterial 16S rRNA (gene) amplicons, metatranscriptomics and quantitative fluorescence in situ hybridization of selected phylotypes. The bacterial families Ruminococcaceae, Bacteroidaceae, Enterobacteriaceae, Deferribacteraceae and Verrucomicrobiaceae increased in relative abundance in DSS-treated mice. Comparative 16S rRNA sequence analysis at maximum possible phylogenetic resolution identified several indicator phylotypes for DSS treatment, including the putative mucin degraders Akkermansia and Mucispirillum. The analysis additionally revealed strongly contrasting abundance changes among phylotypes of the same family, particularly within the Lachnospiraceae. These extensive phylotype-level dynamics were hidden when reads were grouped at higher taxonomic levels. Metatranscriptomic analysis provided insights into functional shifts in the murine intestinal microbiota, with increased transcription of genes associated with regulation and cell signaling, carbohydrate metabolism and respiration and decreased transcription of flagellin genes during inflammation. These findings (i) establish the first in-depth inventory of the mouse gut microbiota and its metatranscriptome in the DSS colitis model, (ii) reveal that family-level microbial community analyses are insufficient to reveal important colitis-associated microbiota shifts and (iii) support a scenario of shifting intra-family structure and function in the phylotype-rich and phylogenetically diverse Lachnospiraceae in DSS-treated mice.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 296 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 3%
France 3 1%
Canada 2 <1%
Ireland 1 <1%
Austria 1 <1%
Belgium 1 <1%
Germany 1 <1%
Japan 1 <1%
Spain 1 <1%
Other 0 0%
Unknown 277 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 24%
Researcher 65 22%
Student > Master 31 10%
Student > Doctoral Student 19 6%
Student > Bachelor 16 5%
Other 45 15%
Unknown 48 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 111 38%
Immunology and Microbiology 35 12%
Biochemistry, Genetics and Molecular Biology 33 11%
Medicine and Dentistry 17 6%
Environmental Science 9 3%
Other 28 9%
Unknown 63 21%
Attention Score in Context

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 28 February 2023.
All research outputs
#8,297,754
of 25,461,852 outputs
Outputs from The ISME Journal
#2,547
of 3,275 outputs
Outputs of similar age
#57,264
of 176,320 outputs
Outputs of similar age from The ISME Journal
#14
of 29 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 3,275 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 176,320 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 66% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.