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. 2020 Aug 4;6:24. doi: 10.1038/s41540-020-00142-w

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 4 — a The histogram shows the distribution of the average fold change of CLas expression for samples obtained from the psyllid alimentary canals and citrus phloem. In red the fold change between phloem and psyllid samples is shown using the entire RNA-sequencing dataset. Plotted in blue and green is the average ratio of predicted flux distribution from the CLas model (A4, FL17, gxpsy, Ishi-1, psy62, and YCPsy) using M15 culture medium and RNA-sequencing data from psyllid and phloem samples, respectively. b Heatmap highlighting CLas subsystems with highest flux activity in psyllid and phloem samples. Numbers represent the fold change increase of predicted flux. c Analysis of predicted flux distributions from constraining the CLas models with RNA-sequencing data (phloem and psyllid), or culture medium M15 (Medium) compared to the predicted flux distribution for L. crescens BT-1 using M15 medium. Barplot shows the total flux carried by pathway by all the simulated flux distributions for all CLas and L. crescens strains. Correlation matrix shows that flux distribution clusters by constraint conditions independently of CLas strain (Supplementary Fig. 6), enabling to averaging of the flux distribution by strain.