Evidence map›Paper›PMID 28645257›Full record

ArticleBMC microbiology2017

Relationship between nasopharyngeal and bronchoalveolar microbial communities in clinically healthy feedlot cattle.

Mohamed M Zeineldin, James F Lowe, Elsbeth D Grimmer, Maria R C de Godoy, Mohamed M Ghanem, Yassein M Abd El-Raof, Brian M Aldridge

Abstract read
In one paragraph

Article in BMC microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–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

35 citing papers in PubMed.

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  18. Detection ofFrontiers in microbiomes · 2022
    Article
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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

7 authors.

Mohamed M ZeineldinIntegrated Food Animal Management Systems, Department of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, 241 LAC, 1008 W Hazelwood Dr, Urbana, IL, 61802, USA.
James F LoweIntegrated Food Animal Management Systems, Department of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, 241 LAC, 1008 W Hazelwood Dr, Urbana, IL, 61802, USA.
Elsbeth D GrimmerIntegrated Food Animal Management Systems, Department of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, 241 LAC, 1008 W Hazelwood Dr, Urbana, IL, 61802, USA.
Maria R C de GodoyDepartment of Animal Sciences and Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, USA.
Mohamed M GhanemDepartment of Animal Medicine, College of Veterinary Medicine, Benha University, Benha, Egypt.
Yassein M Abd El-RaofDepartment of Animal Medicine, College of Veterinary Medicine, Benha University, Benha, Egypt.
Brian M AldridgeIntegrated Food Animal Management Systems, Department of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, 241 LAC, 1008 W Hazelwood Dr, Urbana, IL, 61802, USA. ba311@illinois.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe importance of upper airway structure in the susceptibility of the lower respiratory tract to colonization with potential pathogens is well established. With the advent of rapid, high throughput, next generation sequencing, there is a growing appreciation of the importance of commensal microbial populations in maintaining mucosal health, and a realization that bacteria colonize anatomical locations that were previously considered to be sterile. While upper respiratory tract microbial populations have been described, there are currently no published studies describing the normal microbial populations of the bovine lower respiratory tract. Consequently, we have little understanding of the relationship between upper and lower respiratory tract microbiota in healthy cattle. The primary objective of our study was to characterize the composition, structure and relationship of the lower and upper respiratory microbial communities in clinically healthy feedlot cattle. Nasopharyngeal swabs (NPS), and bronchoalveolar lavage (BAL) fluid, were collected from clinically healthy feedlot calves (n = 8). Genomic DNA from each sample was extracted, and the V3-V4 hypervariable region of the bacterial 16S rRNA gene was amplified and sequenced using Illumina Miseq platform.

resultsAcross all samples, the most predominant phyla were Proteobacteria, Actinobacteria and Firmicutes. The most common genera were Rathayibacter, Mycoplasma, Bibersteinia and Corynebacterium. The microbial community structure was distinct between these two biogeographical sites. Most of the bacterial genera identified in the BAL samples were also present in the NPS, but biogeographical-specific genera were enriched in both the NPS (Rathayibacter) and BAL (Bibersteinia) samples. There were strong associations between the presence of certain taxa at each specific location, and strong correlations between the presence of specific taxa in both the NPS and BAL samples.

conclusionsThe correlation between the presence of specific taxa in both the NPS and BAL samples, supports the notion of a mutualistic interrelationship between these microbial communities. Future studies, in large cohorts of animals, are needed to determine the role and clinical importance of the relationships of respiratory tract microbial communities with health, productivity, and susceptibility to the development of respiratory disease, in growing cattle.

Indexed as

AnimalsBacteriaBronchoalveolar Lavage FluidCattleDNA, BacterialMicrobiotaNasopharynxOrgan SpecificityPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASymbiosisDNA, BacterialRNA, Ribosomal, 16SFeedlotMicrobiota,16S rRNA geneNext generation sequencingRespiratory tract

Identifiers

PMID28645257
PMCPMC5481913

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.