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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization of the upper and lower respiratory tract microbiota in Piedmontese calves
|
|---|---|
| Published in |
Microbiome, November 2017
|
| DOI | 10.1186/s40168-017-0372-5 |
| Pubmed ID | |
| Authors |
Isabella Nicola, Francesco Cerutti, Elena Grego, Iride Bertone, Paola Gianella, Antonio D’Angelo, Simone Peletto, Claudio Bellino |
| Abstract |
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. 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). 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. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 19% |
| Student > Ph. D. Student | 10 | 12% |
| Student > Master | 7 | 8% |
| Student > Doctoral Student | 6 | 7% |
| Student > Postgraduate | 4 | 5% |
| Other | 12 | 14% |
| Unknown | 28 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 18 | 22% |
| Agricultural and Biological Sciences | 15 | 18% |
| Immunology and Microbiology | 8 | 10% |
| Medicine and Dentistry | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Other | 5 | 6% |
| Unknown | 29 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 01 August 2018.
All research outputs
#3,074,218
of 23,008,860 outputs
Outputs from Microbiome
#1,089
of 1,455 outputs
Outputs of similar age
#69,061
of 437,733 outputs
Outputs of similar age from Microbiome
#31
of 37 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,455 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.4. This one is in the 25th percentile – i.e., 25% 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 437,733 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.