Evidence map›Paper›PMID 32948523›Full record

ArticleApplied and environmental microbiology2020

Multi-omics Approaches To Decipher the Impact of Diet and Host Physiology on the Mammalian Gut Microbiome.

Christian Milani, Giulia Alessandri, Leonardo Mancabelli, Marta Mangifesta, Gabriele Andrea Lugli, Alice Viappiani, Giulia Longhi, Rosaria Anzalone, Sabrina Duranti, Francesca Turroni and 3 more

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Host interactions ofApplied and environmental microbiology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Christian Milani *Laboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Giulia Alessandri *Department of Veterinary Medical Science, University of Parma, Parma, Italy.
Leonardo MancabelliLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Marta MangifestaLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Gabriele Andrea LugliLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Alice ViappianiGenProbio srl, Parma, Italy.
Giulia LonghiGenProbio srl, Parma, Italy.
Rosaria AnzaloneGenProbio srl, Parma, Italy.
Sabrina DurantiLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Francesca TurroniLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Maria Cristina OssiprandiDepartment of Veterinary Medical Science, University of Parma, Parma, Italy.
Douwe van SinderenAPC Microbiome Institute and School of Microbiology, National University of Ireland, Cork, Ireland.ORCID 0000-0003-1823-7957
Marco VenturaLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy marco.ventura@unipr.it.ORCID 0000-0002-4875-4560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, various studies have demonstrated that the gut microbiota influences host metabolism. However, these studies were focused primarily on a single or a limited range of host species, thus preventing a full exploration of possible taxonomic and functional adaptations by gut microbiota members as a result of host-microbe coevolution events. In the current study, the microbial taxonomic profiles of 250 fecal samples, corresponding to 77 host species that cover the mammalian branch of the tree of life, were reconstructed by 16S rRNA gene-based sequence analysis. Moreover, shotgun metagenomics was employed to investigate the metabolic potential of the fecal microbiomes of 24 mammals, and subsequent statistical analyses were performed to assess the impact of host diet and corresponding physiology of the digestive system on gut microbiota composition and functionality. Functional data were confirmed and extended through metatranscriptome assessment of gut microbial populations of eight animals, thus providing insights into the transcriptional response of gut microbiota to specific dietary lifestyles. Therefore, the analyses performed in this study support the notion that the metabolic features of the mammalian gut microbiota have adapted to maximize energy extraction from the host's diet.

Indexed as

Gastrointestinal MicrobiomeAnimalsBacteriaDietFecesGene Expression ProfilingMammalsMetagenomicsRNA, BacterialRNA, Ribosomal, 16SSpecies SpecificityRNA, BacterialRNA, Ribosomal, 16Sdietmammalsmetagenomicsmetatranscriptomicsmicrobiotaphysiology

Identifiers

PMID32948523
PMCPMC7657629

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.