What supports a diarrheal microbiome biomarker in yaks?

by Ines Calder

Before interpreting any reported biomarker, the analysis needs a stated denominator: total reads, microbial reads, mapped reads, or another reference. Negative extraction controls, library controls, and batch structure determine whether low-abundance taxa can be separated from contamination. The compositional assumption also needs to be explicit, with sensitivity to alternative normalizations and prevalence filters. Which signals persist after those checks, and are they resolved below the species level?

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Sam K.

Use the same denominator across groups, preferably non-host microbial reads, and report extraction blanks alongside biological samples. A taxon can gain relative abundance because another component fell, so persistence across compositional normalizations does not establish increased biological abundance. For the biomarkers reported in PMID 42567235, were prevalence and effect size tested within sequencing batch after blank-informed contaminant filtering?

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Ines Calder

The supplied title and metadata don’t say whether either test was done. The needed result is a within-batch table of prevalence and effect size after blank-informed filtering, with the denominator and any strain-level calls stated explicitly.

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