Evidence map›Paper›PMID 29157308›Full record

ArticleMicrobiome2017

Characterization of the upper and lower respiratory tract microbiota in Piedmontese calves.

Isabella Nicola, Francesco Cerutti, Elena Grego, Iride Bertone, Paola Gianella, Antonio D'Angelo, Simone Peletto, Claudio Bellino

Open access · goldAbstract readComparative Study
In one paragraph

Article in Microbiome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% of its field
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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

  1. Effect of bovine respiratory disease on the respiratory microbiome: a meta-analysis.Frontiers in cellular and infection microbiology · 2023
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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

8 authors at 2 institutions in 1 country.

Isabella NicolaDepartment of Veterinary Sciences, Clinical section, University of Turin, Largo Paolo Braccini 2, 10095, Grugliasco, TO, Italy.
Francesco CeruttiIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, 10154, Turin, TO, Italy.
Elena GregoDepartment of Veterinary Sciences, Clinical section, University of Turin, Largo Paolo Braccini 2, 10095, Grugliasco, TO, Italy.
Iride BertoneDepartment of Veterinary Sciences, Clinical section, University of Turin, Largo Paolo Braccini 2, 10095, Grugliasco, TO, Italy.
Paola GianellaDepartment of Veterinary Sciences, Clinical section, University of Turin, Largo Paolo Braccini 2, 10095, Grugliasco, TO, Italy.
Antonio D'AngeloDepartment of Veterinary Sciences, Clinical section, University of Turin, Largo Paolo Braccini 2, 10095, Grugliasco, TO, Italy.
Simone PelettoIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, 10154, Turin, TO, Italy.
Claudio BellinoDepartment of Veterinary Sciences, Clinical section, University of Turin, Largo Paolo Braccini 2, 10095, Grugliasco, TO, Italy. claudio.bellino@unito.it.ORCID 0000-0002-8845-4394
University of Turin · ITIstituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d'Aosta · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe microbiota of the bovine upper respiratory tract has been recently characterized, but no data for the lower respiratory tract are available. A major health problem in bovine medicine is infectious bronchopneumonia, the most common respiratory syndrome affecting cattle. With this study, we used 16S rRNA gene sequencing to characterize and compare the microbial community composition of the upper and lower respiratory tracts in calves.

resultsThe microbiota of the upper (nasal swab [NS]) and the lower (trans-tracheal aspiration [TTA]) respiratory tracts of 19 post-weaned Piedmontese calves with (8/19) and without (11/19) clinical signs of respiratory disease, coming from six different farms, was characterized by 16S rRNA gene metabarcoding. A total of 29 phyla (29 in NS, 21 in TTA) and 305 genera (289 in NS, 182 in TTA) were identified. Mycoplasma (60.8%) was the most abundant genus identified in both the NS (27.3%) and TTA (76.7%) samples, followed by Moraxella (16.6%) in the NS and Pasteurella (7.3%) in the TTA samples. Pasteurella multocida (7.3% of total operational taxonomic units [OTUs]) was the most abundant species in the TTA and Psychrobacter sanguinis (1.1% of total OTUs) in the NS samples. Statistically significant differences between the NS and the TTA samples were found for both alpha (Shannon index, observed species, Chao1 index, and Simpson index; P = 0.001) and beta (Adonis; P = 0.001) diversity. Comparison of the NS and TTA samples by farm origin and clinical signs revealed no statistical difference (P > 0.05), except for farm origin for the NS samples when compared by the unweighted UniFrac metric (P = 0.05).

conclusionsUsing 16S rRNA gene sequencing, we characterized the microbiota of the upper and lower respiratory tracts of calves, both healthy individuals and those with clinical signs of respiratory disease. Our results suggest that environmental factors may influence the composition of the upper airway microbiota in cattle. While the two microbial communities (upper and lower airways) differed in microbial composition, they shared several OTUs, suggesting that the lung microbiota may be a self-sustaining, more homogeneous ecosystem, influenced by the upper respiratory tract microbiota.

Indexed as

MicrobiotaAnimalsBacteriaCattleDNA, BacterialDNA Barcoding, TaxonomicFemaleLungMoraxellaMycoplasmaNosePasteurellaRespiratory SystemRespiratory Tract InfectionsRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialRNA, Ribosomal, 16S16S rRNA geneBovine respiratory diseaseMetabarcodingMicrobiotaRespiratory tract

Identifiers

PMID29157308
PMCPMC5697440
OpenAlexW2770747763

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.