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

Microbiome

Department of Veterinary Sciences, Clinical section, University of Turin, Largo Paolo Braccini 2, 10095, Grugliasco, TO, Italy.

Published: November 2017

Background: The 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.

Results: The 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).

Conclusions: Using 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697440PMC
http://dx.doi.org/10.1186/s40168-017-0372-5DOI Listing

Publication Analysis

Top Keywords

upper lower
16
lower respiratory
16
respiratory tract
16
16s rrna
12
rrna gene
12
respiratory tracts
12
clinical signs
12
tta samples
12
respiratory
10
tract microbiota
8

Similar Publications

Computational Insights into Membrane Disruption by Cell-Penetrating Peptides.

J Chem Inf Model

January 2025

Unit of Biophysics, Department of Biochemistry and Molecular Biology, Facultat de Medicina, Av. Can Domènech s/n, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Catalonia, Spain.

Cell-penetrating peptides (CPPs) can translocate into cells without inducing cytotoxicity. The internalization process implies several steps at different time scales ranging from microseconds to minutes. We combine adaptive Steered Molecular Dynamics (aSMD) with conventional Molecular Dynamics (cMD) to observe nonequilibrium and equilibrium states to study the early mechanisms of peptide-bilayer interaction leading to CPPs internalization.

View Article and Find Full Text PDF

Objective: Extracting PICO elements-Participants, Intervention, Comparison, and Outcomes-from clinical trial literature is essential for clinical evidence retrieval, appraisal, and synthesis. Existing approaches do not distinguish the attributes of PICO entities. This study aims to develop a named entity recognition (NER) model to extract PICO entities with fine granularities.

View Article and Find Full Text PDF

Risk Factors for Symptoms in Patients With Heterotopic Gastric Mucosa in the Upper Esophagus.

Gastroenterol Res Pract

January 2025

Department of Gastroenterology, Tongji Institute of Digestive Diseases, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.

This study is aimed at comparing the clinical characteristics and histological types of symptomatic and asymptomatic patients with heterotopic gastric mucosa in the upper esophagus (HGMUE) and exploring the factors influencing the occurrence and severity of laryngopharyngeal reflux (LPR) symptoms in these patients. HGMUE is a potential cause of LPR symptoms. This retrospective analysis evaluated 70 patients with HGMUE using a detailed questionnaire.

View Article and Find Full Text PDF

Background: Infantile epileptic spasm syndrome (ISS) is an age-dependent epileptic condition typically emerging within the first year of life, and adrenocorticotropic hormone (ACTH) has been established as a first-line therapeutic drug for the ISS since 1958. However, there is a notable variation in ACTH dosage practices worldwide, with intramuscular injection being common in some countries and intravenous drip preferred in others, including China. This study aimed to identify a preferable administration modality for ACTH-based utilization in treating ISS.

View Article and Find Full Text PDF

Objective: To investigate the clinical efficacy of three-dimensional (3D) visualization technology assisted percutaneous nephrolithotomy (PCNL) in the treatment of complex upper urinary tract calculi.

Methods: This study retrospectively analyzed clinical data from 127 patients with complex upper urinary tract stones admitted to Yongchuan Hospital, Chongqing Medical University from January 2020 to January 2023. According to the treatment methods, the patients were divided into an observation group (3D visualization technology assisted PCNL, n = 69) and a control group (conventional PCNL, n = 58).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!