ArticleMicrobiome2017
The development of lower respiratory tract microbiome in mice.
Article in Microbiome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- Distinct Basal Gut Microbiota Profiles Are Associated with Strain-Specific Lung Responses toBiology · 2026Article
- Preventive intrapulmonary treatment withERJ open research · 2026Article
- The human lung microbiome progressively diminishes in the distal alveolar regions.NPJ biofilms and microbiomes · 2026Article
- Lung Microbiome Dysbiosis in Pulmonary Fibrosis Induced by Multi-Walled Carbon Nanotubes and Bleomycin in Rats.Medicina (Kaunas, Lithuania) · 2026Article
- Microbial influx during early postnatal life fortifies the ocular surface and guards against allergic eye disease in mice.Communications biology · 2025Article
- Role of the microbiota-gut-lung axis in the pathogenesis of pulmonary disease in children and novel therapeutic strategies.Frontiers in immunology · 2025Review
- Cigarette smoke-induced disordered microbiota aggravates the severity of influenza A virus infection.mSystems · 2024Article
- Optimization of lung tissue pre-treatment by bead homogenization for subsequent culturomics.Scientific reports · 2024Article
- The effects of different lung parts, age, and batches on the lung microbiota of healthy rats.Annals of medicine · 2024Article
- Oro-Respiratory Dysbiosis and Its Modulatory Effect on Lung Mucosal Toxicity during Exposure or Co-Exposure to Carbon Nanotubes and Cigarette Smoke.Nanomaterials (Basel, Switzerland) · 2024Article
- What Makes the Gut-Lung Axis Working? From the Perspective of Microbiota and Traditional Chinese Medicine.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2024Review
- Corynebacteria from the respiratory microbiota modulate inflammatory responses and associate with a reduced pneumococcal burden in the lungs.Frontiers in cellular and infection microbiology · 2024Article
- An Insight into Functional Metagenomics: A High-Throughput Approach to Decipher Food-Microbiota-Host Interactions in the Human Gut.International journal of molecular sciences · 2023Review
- A succession of pulmonary microbiota in broilers during the growth cycle.Poultry science · 2023Article
- Properties and biotechnological applications of microbial deacetylase.Applied microbiology and biotechnology · 2023Review
- Genome-wide mapping of gene-microbe interactions in the murine lung microbiota based on quantitative microbial profiling.Animal microbiome · 2023Article
- Silent neonatal influenza A virus infection primes systemic antimicrobial immunity.Frontiers in immunology · 2023Article
- Alterations of lower respiratory tract microbiome and short-chain fatty acids in different segments in lung cancer: a multiomics analysis.Frontiers in cellular and infection microbiology · 2023Article
- Translocation and Dissemination of Gut Bacteria after Severe Traumatic Brain Injury.Microorganisms · 2022Article
- Microbiota of the Pregnant Mouse: Characterization of the Bacterial Communities in the Oral Cavity, Lung, Intestine, and Vagina through Culture and DNA Sequencing.Microbiology spectrum · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough culture-independent methods have paved the way for characterization of the lung microbiome, the dynamic changes in the lung microbiome from neonatal stage to adult age have not been investigated.
resultsIn this study, we tracked changes in composition and diversity of the lung microbiome in C57BL/6N mice, starting from 1-week-old neonates to 8-week-old mice. Towards this, the lungs were sterilely excised from mice of different ages from 1 to 8 weeks. High-throughput DNA sequencing of the 16S rRNA gene followed by composition and diversity analysis was utilized to decipher the microbiome in these samples. Microbiome analysis suggests that the changes in the lung microbiome correlated with age. The lung microbiome was primarily dominated by phyla Proteobacteria, Firmicutes, Bacteroidetes, and Actinobacteria in all the stages from week 1 to week 8 after birth. Although Defluvibacter was the predominant genus in 1-week-old neonatal mice, Streptococcus became the dominant genus at the age of 2 weeks. Lactobacillus, Defluvibacter, Streptococcus, and Achromobacter were the dominant genera in 3-week-old mice, while Lactobacillus and Achromobacter were the most abundant genera in 4-week-old mice. Interestingly, relatively greater diversity (at the genus level) during the age of 5 to 6 weeks was observed as compared to the earlier weeks. The diversity of the lung microbiome remained stable between 6 and 8 weeks of age.
conclusionsIn summary, we have tracked the development of the lung microbiome in mice from an early age of 1 week to adulthood. The lung microbiome is dominated by the phyla Proteobacteria, Firmicutes, Bacteroidetes, and Actinobacteria. However, dynamic changes were observed at the genus level. Relatively higher richness in the microbial diversity was achieved by age of 6 weeks and then maintained at later ages. We believe that this study improves our understanding of the development of the mice lung microbiome and will facilitate further analyses of the role of the lung microbiome in chronic lung diseases.
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