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Bioinformatic discovery of type 11 secretion system (T11SS) cargo across the Proteobacteria Supplemental Data

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Supplementary_Data_Files_for_Grossman_Mucci_et_al_2025_b_Bioinformatic_discovery_of_type_11_secretion_system_T11SS_cargo_b_b_across_the_Proteobacteria_b_/28514069
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Type 11 secretion systems (T11SS) are broadly distributed among proteobacteria, with more than 3000 T11SS family outer membrane proteins (OMPs) comprising 10 major sequence similarity network (SSN) clusters. Of these, only 7, all from animal-associated cluster 1, have been experimentally verified as secretins of cargo, including adhesins, hemophores, and metal binding proteins. To identify novel cargo of a more diverse set of T11SS, we identified gene families co-occurring in gene neighborhoods with either cluster 1 or marine microbe-associated cluster 3 T11SS OMP genes. We developed bioinformatic controls to ensure perceived co-occurrences are specific to T11SS, and not general to OMPs. We found that both cluster 1 and cluster 3 T11SS OMPs frequently co-occur with single carbon metabolism and nucleotide synthesis pathways, but that only cluster 1 T11SS OMPs had significant co-occurrence with metal and heme pathways, as well as with mobile genetic islands, potentially indicating diversified function of this cluster. Cluster 1 T11SS co-occurrences included 2556 predicted cargo proteins, unified by the presence of a C-terminal β-barrel domain, which fall into 141 predicted UniRef50 clusters and approximately 10 different architectures: 4 similar to known cargo and 6 uncharacterized types. We experimentally demonstrate T11SS-dependent secretion of an uncharacterized cargo type with homology to Plasmin sensitive protein (Pls). Unexpectedly, genes encoding marine cluster 3 T11SS OMPs only rarely co-occurred with the C-terminal β-barrel domain and instead frequently co-occurred with DUF1194-containing genes. Overall, our results show that with sufficiently large-scale and controlled genomic data, T11SS-dependent cargo proteins can be accurately predicted.
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2025-02-28
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