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Unusual sub-genus associations of faecal Prevotella and Bacteroides with specific dietary patterns

Overview of attention for article published in Microbiome, October 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Title
Unusual sub-genus associations of faecal Prevotella and Bacteroides with specific dietary patterns
Published in
Microbiome, October 2016
DOI 10.1186/s40168-016-0202-1
Pubmed ID
Authors

Francesca De Filippis, Nicoletta Pellegrini, Luca Laghi, Marco Gobbetti, Danilo Ercolini

Abstract

Diet has a recognized effect in shaping gut microbiota. Many studies link an increase in Prevotella to high-fibre diet, while Bacteroides abundance is usually associated with the consumption of animal fat and protein-rich diets. Nevertheless, closely related species and strains may harbour different genetic pools; therefore, further studies should aim to understand whether species of the same genus are consistently linked to dietary patterns or equally responsive to diet variations. Here, we used oligotyping of 16S rRNA gene sequencing data to exploit the diversity within Prevotella and Bacteroides genera in faecal samples of omnivore and non-omnivore subjects from a previously studied cohort. A great heterogeneity was found in oligotype composition. Nevertheless, different oligotypes within the same genus showed distinctive correlation patterns with dietary components and metabolome. We found that some Prevotella oligotypes are significantly associated with the plant-based diet but some are associated with animal-based nutrients, and the same applies to Bacteroides. Therefore, an indiscriminate association of Bacteroidetes genera with specific dietary patterns may lead to an oversimplified vision that does not take into account sub-genus diversity and the different possible responses to dietary components. We demonstrated that Prevotella and Bacteroides oligotypes show distinctive correlation patterns with dietary components and metabolome. These results substantiate a current oversimplification of diet-dependent microbe-host associations and highlighted that sub-genus differences must be taken into account when planning gut microbiota modulation for health benefits.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Italy 1 <1%
Canada 1 <1%
Unknown 190 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 42 22%
Student > Ph. D. Student 39 20%
Student > Master 26 13%
Student > Bachelor 12 6%
Student > Doctoral Student 10 5%
Other 29 15%
Unknown 35 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 28%
Medicine and Dentistry 29 15%
Biochemistry, Genetics and Molecular Biology 22 11%
Immunology and Microbiology 18 9%
Nursing and Health Professions 9 5%
Other 19 10%
Unknown 42 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 23 March 2021.
All research outputs
#1,744,812
of 24,885,505 outputs
Outputs from Microbiome
#660
of 1,705 outputs
Outputs of similar age
#30,939
of 323,213 outputs
Outputs of similar age from Microbiome
#7
of 15 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,705 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.5. This one has gotten more attention than average, scoring higher than 61% 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 323,213 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.