Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2023.03.31.535141v1?rss=1
Authors: Sahoo, A. K., Vivek-Ananth, R. P., Chivukula, N., Rajaram, S. V., Mohanraj, K., Khare, D., Acharya, C., Samal, A.
Abstract:
Type 9 secretion system (T9SS) is one of the least characterized secretion systems exclusively found in Bacteroidetes phylum which comprise various environmental and economically relevant bacteria. T9SS plays a central role in bacterial movement termed gliding motility, survival and pathogenicity. However, there are no comprehensive attempts to predict T9SS, gliding motility and proteins secreted via T9SS. In this study, we curated the published evidence and generated protein profiles for the compiled 28 protein components associated with T9SS or gliding motility in Bacteroidetes. We leveraged the generated protein profiles to designate 6 proteins (GldK, GldL, GldM, GldN, SprA and SprE) as mandatory components for T9SS and an additional 5 proteins (GldB, GldD, GldH, GldJ and SprT) as mandatory components for gliding motility. Thereafter, we compiled 102 experimentally characterized proteins secreted via T9SS and classified their C-terminal domain (CTD) into 3 types (type A, type B or type C). We generated protein profiles for these CTDs and found that they are unique to proteins secreted via T9SS. We developed a computational tool, Type 9 secretion system and Gliding motility Prediction (T9GPred) by compiling our findings. From 693 completely sequenced Bacteroidetes strains, T9GPred predicted 402 to have T9SS, of which 327 are also predicted to exhibit gliding motility. Additionally, T9GPred predicted the putative secreted proteins from the 402 Bacteroidetes strains. The computational tool is available in our GitHub repository: https://github.com/asamallab/T9GPred. The tool and its predicted results are compiled in a web server available at: https://cb.imsc.res.in/t9gpred/.
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