BASEN: Human stool analysis


This appendix evaluates BASEN in stool samples from 19 critically ill patients (ON-Time, Day 1). In the absence of a known community composition, methods were compared within each sample.

Contents

  1. Data and processing
  2. Results
  3. Summary of findings
  4. Limitations

1. Data and processing

Read-filter thresholds for the human samples

2. Results

  1. Profiles
  2. Takeaway: Read proportions and genome-copy abundance describe distinct aspects of community composition; both the abundance profiles and their supporting read counts should be considered.
  3. BASEN profiles more closely match Illumina-derived genome-copy estimates
  4. Takeaway: BASEN-nf and BASEN yielded lower L1 distances to the Illumina-derived profile than Kraken2 in all samples at both cut-offs. Read filtering slightly increased the distance relative to BASEN-nf.
  5. Read filtering removes a substantial fraction of reads while producing limited changes in relative abundance
  6. Takeaway: At L5800, the filter removed a median 24.6% of classified reads, while 97% of species-by-sample abundance estimates changed by no more than 1 percentage point. Relative abundance changes depend on differential loss of species-assigned evidence rather than read removal alone.
  7. BLAST assessment of filtered reads in an example sample: MCU22 R. lactatiformans
  8. Takeaway: In MCU22, BASEN removed 12.2% of the reads assigned by Kraken2 to R. lactatiformans; BLAST placed 6% of these reads in Ruthenibacterium (reads retained by BASEN: 41%), with lower agreement among removed reads in every length bin.
  9. Patient-level BLAST assessment of the three species with the largest abundance differences
  10. Supplementary analysis: Within patients, filtered reads from species with large abundance differences frequently showed BLAST assignments to other genera: in MCU22, MCU15 and MCU5 only 6–46% of the removed R. lactatiformans and M. torques reads hit the Kraken2 genus, against 41–93% of the retained reads.
  11. Taxonomic composition of filtered reads assessed by BLAST
  12. Takeaway: For four of the five cohort taxa, most filtered reads showed concordant genus assignments, although species-level agreement was lower; R. lactatiformans was the exception, with filtered reads predominantly matching other genera.
  13. Filtered reads show lower BLAST agreement with Kraken2 assignments than retained reads
  14. Takeaway: Filtered reads showed lower BLAST agreement with Kraken2 assignments than retained reads for four of five taxa at genus level and three of four at species level after adjustment for read length and sample. This supports enrichment for likely false-positive assignments among filtered reads, although most filtered reads still agreed at genus level for four of the five taxa.
  15. Effect of completeness adjustment on MAG genome-length normalization
  16. Supplementary analysis: Using MAG assembly length yielded closer agreement with the Illumina depth profile than dividing assembly length by estimated completeness. Both measures were calculated over the same assemblies, limiting independent validation.
  17. Contributions of genome length and read-level evidence to abundance differences
  18. Supplementary analysis: Variation in assigned evidence per read predominated over the 13-fold genome-size range in these samples, whereas the Microbial standard showed a clear genome-size effect over a 12-fold range.
  19. Sensitivity of abundance estimates to the read-length cut-off
  20. Supplementary analysis: BASEN estimates were more sensitive to the read-length cut-off than read-count estimates. Cut-offs should be reported and applied consistently across samples.

3. Summary of findings

  1. Genome-copy agreement: Against an Illumina-derived genome-copy reference (Illumina read depth over the same 66 MAGs), BASEN-nf and BASEN were closer than Kraken2 in every one of the 19 samples at both cut-offs, with less than half its L1 distance (medians 0.153 and 0.162 vs 0.416 at L5800). Bracken showed a smaller reduction in median L1 than either BASEN variant.
  2. Limited abundance shifts after filtering: The filter removed a substantial fraction of classified reads while producing limited changes in relative abundance (MCU22 R. lactatiformans: −12.2% of its reads, share 20.5% to 21.1%; 97% of species shares change by 1 percentage point or less).
  3. Taxonomic support for filtered reads: BLAST agreement with the Kraken2 genus was lower for filtered reads than for retained reads in most evaluated taxa.
    • Cohort, five most-shifted species: removed reads agree less in 4 of 5 at genus level (the fifth, P. disiens, showed the reverse pattern because its short retained reads often had no BLAST hit) and 3 of 4 at species level (the fourth, P. disiens, matched its NCBI species in under 1% of reads in either set), after adjusting for read length and sample.
    • Single patient: in MCU22, 6% of the removed R. lactatiformans reads hit Ruthenibacterium vs 41% of the retained reads (Fisher's exact p-value = 1.5 × 10-41), across the evaluated length bins.
    • Per patient, each patient's three most-shifted species: removed reads agree less in 42 of 55 pairs; the largest gaps are R. lactatiformans and M. torques (MCU22, MCU15, MCU5).
    • Most filtered reads retained genus-level agreement, frequently matching related species; filtering therefore enriched for likely misassignments without exclusively removing such reads.
  4. Interpretive boundary: These human data do not establish that filtering improves abundance accuracy. Filtering increased the distance to the Illumina reference (BASEN further than BASEN-nf in 18 of 19 samples); the mock-community mixtures provide evidence of its benefit in the presence of absent taxa, whereas the human data show limited changes in abundance estimates.
  5. Supplementary genome-length analysis: Using the MAG assembly length yielded closer agreement with Illumina depth; dividing by CheckM2 completeness moved it further from the Illumina reference.
  6. Supplementary sensitivity analyses: Differences in assigned evidence per read contributed more strongly to abundance shifts than genome length. BASEN profiles were more sensitive to the read-length cut-off than read-count profiles.

4. Limitations