Details

Autor(en) / Beteiligte

• Osakunor, Derick N. M.
• Munk, Patrick
• Mduluza, Takafira
• Petersen, Thomas N.
• Brinch, Christian
• Ivens, Alasdair
• Chimponda, Theresa
• Amanfo, Seth A.
• Murray, Janice
• Woolhouse, Mark E. J.
• Aarestrup, Frank M.
• Mutapi, Francisca

Titel

The gut microbiome but not the resistome is associated with urogenital schistosomiasis in preschool-aged children

Ist Teil von

• Communications biology, 2020-04, Vol.3 (1), p.155-155, Article 155

Ort / Verlag

London: Nature Publishing Group UK

Erscheinungsjahr

2020

Quelle

MEDLINE

Beschreibungen/Notizen

• Helminth parasites have been shown to have systemic effects in the host. Using shotgun metagenomic sequencing, we characterise the gut microbiome and resistome of 113 Zimbabwean preschool-aged children (1–5 years). We test the hypothesis that infection with the human helminth parasite, Schistosoma haematobium , is associated with changes in gut microbial and antimicrobial resistance gene abundance/diversity. Here, we show that bacteria phyla Bacteroidetes , Firmicutes, Proteobacteria , and fungi phyla Ascomycota, Microsporidia, Zoopagomycota dominate the microbiome. The abundance of Proteobacteria , Ascomycota , and Basidiomycota differ between schistosome-infected versus uninfected children. Specifically, infection is associated with increases in Pseudomonas, Stenotrophomonas, Derxia, Thalassospira , Aspergillus, Tricholoma , and Periglandula , with a decrease in Azospirillum . We find 262 AMR genes, from 12 functional drug classes, but no association with individual-specific data. To our knowledge, we describe a novel metagenomic dataset of Zimbabwean preschool-aged children, indicating an association between urogenital schistosome infection and changes in the gut microbiome. Osakunor et al. show that infection of Zimbabwean preschool-aged children with Schistosoma haematobium correlates with abundance changes in Pseudomonas, Stenotrophomonas, Derxia, Thalassospira, Aspergillus, Tricholoma, Periglandula , and Azospirillum . This study provides a microbiome and resistome dataset of African preschool-aged children.