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. 2016 Oct 20;6:35644. doi: 10.1038/srep35644

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Copyright © 2016, The Author(s)

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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Left panels: mean MOTU rank- abundance distributions over 100 realizations for θ = 20 in a 10⁴-read sample, without (dashed blue line) and with (black line) simulated noise: (a) 30% artifactual MOTUs added (as measured in benchmark dataset), (c) multiplicative lognormal noise of log standard deviation σ_log = 1.2 (as measured in benchmark dataset), (e) multiplicative zero-truncated Poisson noise simulating barcode copy number variability (Poisson parameter λ = 4; cf. Kembel et al.⁵²), and (g) size structure among individuals, for a ratio (mean body mass over birth mass). Right panels: mean and standard deviation over 100 realizations of the relative bias on the θ estimate in a 10⁴-read sample, for θ = 1 (green), θ = 20 (black) and θ = 500 (red), as a function of (b) the proportion of artifactual MOTUs (dashed blue line underlines the linear dependence), (d) the lognormal noise intensity σ_log, (f) the Poisson parameter λ, and (h) the ratio .

Inline graphic — Left panels: mean MOTU rank- abundance distributions over 100 realizations for θ = 20 in a 10⁴-read sample, without (dashed blue line) and with (black line) simulated noise: (a) 30% artifactual MOTUs added (as measured in benchmark dataset), (c) multiplicative lognormal noise of log standard deviation σ_log = 1.2 (as measured in benchmark dataset), (e) multiplicative zero-truncated Poisson noise simulating barcode copy number variability (Poisson parameter λ = 4; cf. Kembel et al.⁵²), and (g) size structure among individuals, for a ratio (mean body mass over birth mass). Right panels: mean and standard deviation over 100 realizations of the relative bias on the θ estimate in a 10⁴-read sample, for θ = 1 (green), θ = 20 (black) and θ = 500 (red), as a function of (b) the proportion of artifactual MOTUs (dashed blue line underlines the linear dependence), (d) the lognormal noise intensity σ_log, (f) the Poisson parameter λ, and (h) the ratio .