Fig. 4: Influence of sequence filtering methods on alpha-diversity. | ISME Communications

Fig. 4: Influence of sequence filtering methods on alpha-diversity.

From: Handling of spurious sequences affects the outcome of high-throughput 16S rRNA gene amplicon profiling

Fig. 4

a Richness distribution across all individual samples and time points. The bar plots show interquartile ranges (IQR = Q3–Q1) of individual samples (rows) as a proxy for richness variation across the various time points of a given sample. IQRs were ranked by decreasing values after applying the 0.25% cutoff. Colors are: purple, singleton removal; green, 0.25% cutoff filtering (i.e., keeping only those molecular species occurring in at least one sample at a relative abundance >0.25%). b Coefficient of variations calculated on richness values obtained from six fecal samples each sequenced in triplicates in seven different sequencing runs. Sequencing reads were processed using either an OTU- or ASV-based approach (left or right box, respectively). Within runs: variations across triplicates within any given sequencing run. Across runs: variations between the same samples included in the different runs. c Richness and effective microbial richness (see definition in the text) in the ZymoBIOMICS DNA Standard at increasing sequencing depths (x-axis).

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