Fig. 4: Storage modulates microbial community structure via compositional shifts, captured most sensitively by k-mer-based profiling. | npj Biofilms and Microbiomes

Fig. 4: Storage modulates microbial community structure via compositional shifts, captured most sensitively by k-mer-based profiling.

From: Shipped and shifted: modeling collection-induced bias in microbiome multi-omics using a tractable fermentation system

Fig. 4: Storage modulates microbial community structure via compositional shifts, captured most sensitively by k-mer-based profiling.

PCoA ordinations of bacterial (16S; a, b) and fungal (ITS; c, d) communities based on Jaccard (a, c) and Bray-Curtis (b, d) distance metrics across ASV, OTU, and k-mer resolutions. For ASV-based ordinations, the top taxa and metadata most correlated with the first two PCoA axes are overlaid as arrows, with direction and length reflecting Pearson’s r values. Arrows are scaled by the sum of correlations with PCo1 and PCo2. The ‘control’ refers to the mother sourdough at day 0 before splitting and incubating sourdoughs at either 4 °C, 17 °C or 30 °C; no ITS control is shown due to rarefaction-driven sample loss.

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