Respiratory mycobiome and suggestion of ...
Document type :
Article dans une revue scientifique: Article original
PMID :
Permalink :
Title :
Respiratory mycobiome and suggestion of inter-kingdom network during acute pulmonary exacerbation in cystic fibrosis
Author(s) :
Soret, Perrine [Auteur]
Vandenborght, Louise-Eva [Auteur]
Francis, Florence [Auteur]
Coron, Noemie [Auteur]
Enaud, Raphael [Auteur]
Avalos, Marta [Auteur]
Schaeverbeke, Thierry [Auteur]
Berger, Patrick [Auteur]
Fayon, Michael [Auteur]
Thiebaut, Rodolphe [Auteur]
Delhaes, Laurence [Auteur]
Vandenborght, Louise-Eva [Auteur]
Francis, Florence [Auteur]
Coron, Noemie [Auteur]
Enaud, Raphael [Auteur]
Avalos, Marta [Auteur]
Schaeverbeke, Thierry [Auteur]
Berger, Patrick [Auteur]
Fayon, Michael [Auteur]
Thiebaut, Rodolphe [Auteur]
Delhaes, Laurence [Auteur]
Journal title :
Scientific Reports
Abbreviated title :
Sci Rep
Volume number :
10
Pages :
3589
Publication date :
2020-02-27
ISSN :
2045-2322
HAL domain(s) :
Sciences du Vivant [q-bio]
English abstract : [en]
Lung infections play a critical role in cystic fibrosis (CF) pathogenesis. CF respiratory tract is now considered to be a polymicrobial niche and advances in high-throughput sequencing allowed to analyze its microbiota and ...
Show more >Lung infections play a critical role in cystic fibrosis (CF) pathogenesis. CF respiratory tract is now considered to be a polymicrobial niche and advances in high-throughput sequencing allowed to analyze its microbiota and mycobiota. However, no NGS studies until now have characterized both communities during CF pulmonary exacerbation (CFPE). Thirty-three sputa isolated from patients with and without CFPE were used for metagenomic high-throughput sequencing targeting 16S and ITS2 regions of bacterial and fungal rRNA. We built inter-kingdom network and adapted Phy-Lasso method to highlight correlations in compositional data. The decline in respiratory function was associated with a decrease in bacterial diversity. The inter-kingdom network revealed three main clusters organized around Aspergillus, Candida, and Scedosporium genera. Using Phy-Lasso method, we identified Aspergillus and Malassezia as relevantly associated with CFPE, and Scedosporium plus Pseudomonas with a decline in lung function. We corroborated in vitro the cross-domain interactions between Aspergillus and Streptococcus predicted by the correlation network. For the first time, we included documented mycobiome data into a version of the ecological Climax/Attack model that opens new lines of thoughts about the physiopathology of CF lung disease and future perspectives to improve its therapeutic management.Show less >
Show more >Lung infections play a critical role in cystic fibrosis (CF) pathogenesis. CF respiratory tract is now considered to be a polymicrobial niche and advances in high-throughput sequencing allowed to analyze its microbiota and mycobiota. However, no NGS studies until now have characterized both communities during CF pulmonary exacerbation (CFPE). Thirty-three sputa isolated from patients with and without CFPE were used for metagenomic high-throughput sequencing targeting 16S and ITS2 regions of bacterial and fungal rRNA. We built inter-kingdom network and adapted Phy-Lasso method to highlight correlations in compositional data. The decline in respiratory function was associated with a decrease in bacterial diversity. The inter-kingdom network revealed three main clusters organized around Aspergillus, Candida, and Scedosporium genera. Using Phy-Lasso method, we identified Aspergillus and Malassezia as relevantly associated with CFPE, and Scedosporium plus Pseudomonas with a decline in lung function. We corroborated in vitro the cross-domain interactions between Aspergillus and Streptococcus predicted by the correlation network. For the first time, we included documented mycobiome data into a version of the ecological Climax/Attack model that opens new lines of thoughts about the physiopathology of CF lung disease and future perspectives to improve its therapeutic management.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
CHU Lille
Inserm
Université de Lille
Inserm
Université de Lille
Submission date :
2021-07-06T12:45:32Z