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Blooms and effect sizes.

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Presentation on theme: "Blooms and effect sizes."— Presentation transcript:

1 Blooms and effect sizes.
Blooms and effect sizes. (A) The fraction of 16S reads that recruit to bloom reads defined by Amir et al. (15) is strongly associated with the likelihood for microbial growth under aerobic culture conditions on rich medium. (B) Overlap of mass spectral features (consensus MS/MS cluster nodes; see Materials and Methods, “Molecular networking”) between AGP samples and blooms. (C) Unweighted UniFrac effect sizes. The inset shows the correlation of effect sizes when including or excluding the bloom 16S reads (Pearson r = 0.91, P = 3.76 × 10−57). (D) Weighted UniFrac effect sizes. The inset shows the correlation of the effect sizes when including or excluding bloom 16S reads (Pearson r = 0.42, P = 1.71 × 10−6); the outlier is the 16S bloom fraction of the sample. Daniel McDonald et al. mSystems 2018; doi: /mSystems


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