Additional file 1 of Sputum bacterial load and bacterial composition correlate with lung function and are altered by long-term azithromycin treatment in children with HIV-associated chronic lung disease

  • Regina E Abotsi (Creator)
  • Felix S. Dube (Creator)
  • Andrea M. Rehman (Creator)
  • Shantelle Claassen-Weitz (Creator)
  • Yao Xia (Edith Cowan University) (Creator)
  • Victoria Simms (Creator)
  • Kilaza S Mwaikono (Creator)
  • Sugnet Gardner-Lubbe (Creator)
  • Grace McHugh (Creator)
  • Lucky Gift Ngwira (Creator)
  • Brenda Anna Kwambana-Adams (Creator)
  • Robert S Heyderman (Creator)
  • Jon Ø Odland (Creator)
  • Rashida A Ferrand (Creator)
  • Mark Nicol (Creator)

Dataset

Description

Additional file 1: Figure S1. A bar plot of the taxa and their relative abundance of the extraction and sequencing mock controls compared to manufacturer profiles. Figure S2. A scatterplot showing the correlation between samples repeated within a run (WR, n = 74) and between runs (BR, n=28). Figure S3. A scatterplot showing the spread of biological samples (n=960) and the negative controls (primestore, n=43) 16S copies vs final number of reads (A1 and A2), Shannon alpha diversity index (B1 and B2) and age of participant in years (C1 and C2). Figure S4. Ordination plots of showing the spread of biological samples (n=960) and the negative controls (primestore, n=43) coloured by their 16S copies. Figure S5. Ordination plots showing the spread of biological samples (n=960) and the negative controls (primestore, n=43) coloured by their number of reads. Figure S6. Ordination plots showing the spread of biological samples (n=960) and the negative controls (primestore, n=43) coloured by the age of the participant. Figure S7. Rarefaction curves showing number of ASVs detected and 16S copies of samples. Figure S8. Rarefaction curves showing number of ASVs detected and number of reads of samples. Figure S9. Bar plot showing the profiles of biological samples with 100 to
Date made available13 Apr 2023
PublisherFigshare

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