Dataset Information

Anatomical and biochemical studies of Spartium junceum infected by Xylella fastidiosa subsp. multiplex ST 87.

ABSTRACT: Spartium junceum L. is a typical species of Mediterranean shrubland areas, also grown in gardens and parks as an ornamental. In recent years in Europe, S. junceum has been recurrently found to be infected by different subspecies and genotypes of the quarantine regulated bacterium Xylella fastidiosa (Xf). This work presents for the first time the anatomy of S. junceum plants that we found, by means of genetic and immunochemistry analysis, to be naturally infected by Xf subsp. multiplex ST87 (XfmST87) in Monte Argentario (Grosseto, Tuscany, Italy), a new outbreak area within the EU. Our anatomical observations showed that bacteria colonized exclusively the xylem conductive elements and moved horizontally to adjacent vessels through pits. Interestingly, a pink/violet matrix was observed with Toluidine blue staining in infected conduits indicating a high content of acidic polysaccharides. In particular, when this pink-staining matrix was observed, bacterial cells were either absent or degenerated, suggesting that the matrix was produced by the host plant as a defense response against bacterial spread. In addition, a blue-staining phenolic material was found in the vessels and, at high concentration, in the pits and inter-vessels. SEM micrographs confirmed that polysaccharide and phenolic components showed different structures, which appear to be related to two different morphologies: fibrillary and granular, respectively. Moreover, our LM observations revealed bacterial infection in xylem conductive elements of green shoots and leaves only, and not in those of other plant organs such as roots and flowers.

SUBMITTER: Falsini S

PROVIDER: S-EPMC8752565 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Bacterial leaf scorch (BLS), caused by Xylella fastidiosa (Xf), is a prevalent disease of blueberries in the southeastern United States. Initially, this disease was reported to be caused by X. fastidiosa subsp. multiplex (Xfm). However, a recent survey revealed the presence of another subspecies, X. fastidiosa subsp. fastidiosa (Xff), within naturally infected blueberry plantings in Georgia. Since knowledge regarding the origins of isolates causing Xf outbreaks can impact management recommendations, a routine method for identifying the pathogen at the subspecies level can be beneficial. Several detection strategies are available to identify Xf infection at the subspecies level. However, none of these have been developed for the routine and rapid differentiation of the blueberry-infecting Xf subspecies. Here, we developed two separate straightforward and rapid detection techniques, a cleaved amplified polymorphic sequence (CAPS) marker, and a loop-mediated isothermal amplification (LAMP) assay, targeting the RNA polymerase sigma-70 factor (rpoD) gene sequence of Xfm to discriminate between the two Xf subspecies infecting blueberry. With the CAPS marker, specific detection of Xfm isolates was possible from pure cultures, inoculated greenhouse-grown plant samples, and field infected blueberry samples by restriction digestion of the rpoD gene PCR product (amplified with primers RST31 and RST33) using the BtsI enzyme. The LAMP assay allowed for specific real-time amplification of a 204-bp portion of the XfmrpoD gene from both pure bacterial cultures and infected plant material using the Genie® III system, a result further affirmed by gel electrophoresis and SYBR™ Green I DNA staining for visual observation. These detection strategies have the potential to greatly aid existing diagnostic methods for determining the distribution and prevalence of these Xf subspecies causing bacterial leaf scorch (BLS) in blueberries in the southeastern United States.

Dataset Information

Anatomical and biochemical studies of Spartium junceum infected by Xylella fastidiosa subsp. multiplex ST 87.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets