Genomics

Dataset Information

0

Plant structural and storage glucans trigger distinct transcriptional responses that modulate the motility of Xanthomonas pathogens


ABSTRACT: Some phytopathogens are outfitted with a broad and diverse repertoire of enzymatic systems that enable the breakdown and utilization of host polysaccharides as a source of carbon, energy, and stimuli. However, the functional assignment of these enzymatic systems and the influence of their products on modulating pathogen behavior during host colonization is yet poorly comprehended. In this study, we performed RNA-seq analyses to provide a comprehensive, genome-wide view of the transcriptional response of the model phytopathogen Xanthomonas citri pv. citri 306 (hereafter X. citri 306) to cellobiose, a component of structural β-1,4-glucans (majorly cellulose), and storage α-glucans, seeking to better understand how they are assimilated and the impacts of their sensing on bacterial behavior and physiology. Structural β-1,4-glucans and storage α-glucans (starch) are spatially discretized in the plant cell, therefore representing spatiotemporal references for the bacterium during host colonization. Combining transcriptional and genome mining analyses with gene knockout and cell motility assays, we show that X. citri 306 harbors molecular systems for the breakdown and assimilation of these carbohydrates, revealing that cellobiose upregulates genes related to flagellum assembly and type IV pili, inducing a higher-motility state. In contrast, starch suppresses genes related to chemotaxis, flagellum assembly and biofilm dispersion, decreasing motility. Taken together, these results unravel that besides using structural β-glucans and storage α-glucans as sources of carbon and energy, Xanthomonas bacteria also sense them, adapting its metabolism and controlling transitions between higher and lower motility states for successful host colonization.

ORGANISM(S): Xanthomonas citri pv. citri

PROVIDER: GSE234477 | GEO | 2023/09/26

REPOSITORIES: GEO

Similar Datasets

2010-05-16 | E-GEOD-17144 | biostudies-arrayexpress
2009-07-18 | GSE17144 | GEO
2013-09-11 | GSE50741 | GEO
2013-11-25 | GSE52700 | GEO
| PRJNA177640 | ENA
| PRJNA169422 | ENA
2018-04-13 | GSE87447 | GEO
2023-05-10 | PXD037760 | Pride
2013-09-05 | E-GEOD-41519 | biostudies-arrayexpress
2012-04-27 | GSE29877 | GEO