Evolved sequence features within the intrinsically disordered tail influence FtsZ assembly and bacterial cell division

Megan C. Cohan; Ammon E. Posey; Steven J. Grigsby; Anuradha Mittal; Alex S. Holehouse; Paul J. Buske; Petra A. Levin; Rohit V. Pappu

Evolved sequence features within the intrinsically disordered tail influence FtsZ assembly and bacterial cell division Megan C. Cohan, Ammon E. Posey, Steven Grigsby, Anuradha Mittal, Alex S. Holehouse, Paul J. Buske, Petra A. Levin, Rohit V. Pappu Figure S1 : Naturally occurring sequences with an FCR ≈ 0.3 have a more positive κ value than would be expected by random chance. We identified all predicted IDRs from the human protein within the bounds 0.27 < FCR < 0.33 that were thirty residues or more in length (4755 IDRs). For each IDR, we calculated the expected κ (⟨κ⟩) value associated with a sequence of that composition in the absence of any selective pressure performing multiple random shuffles and assessing the mean value. Finally, for each naturally occurring IDR (WT), we calculated the Δκ, where Δκ = κ WT -⟨κ⟩. If Δκ > 0 then the naturally occurring sequence has a higher κ than The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. . https://doi.org/10.1101/301622 doi: bioRxiv preprint S2 expected, while if Δκ < 0 the naturally occurring sequence has a lower κ than would be expected, and the distribution of Δκ was plotted as the red curve. The same analysis was performed for randomly shuffled sequences instead of naturally occurring sequences to assess the intrinsic variance in the data, as shown in the black curve. Many sequences showed a bias for higher than expected κ values, although a small number of sequences showed a bias for lower than expected κ values. Figure S2 : Naturally occurring FtsZ CTT sequences are biased towards larger κ than expected by random chance. We calculated the κ value associated with 1209 orthologous FtsZ CTT sequences. The associated distribution of κ values is shown in blue. For each sequence, we then shuffled the sequence multiple times to generate a set of randomly permuted CTT sequences. The average distribution (and associated variance) is shown in the All rights reserved. No reuse allowed without permission.