Rapid Detection of Xanthomonas fragariae in Strawberry Using Species-Specific Primers Based on Comparative Genomics.

Abstract

Xanthomonas fragariae poses a significant emerging threat to global strawberry production. The success of surveillance strategies and quarantine measures in controlling its international spread depends heavily on the availability of rapid and reliable in-planta detection tools. Polymerase chain reaction (PCR) is the preferred method for detecting systemic infections due to its high sensitivity, specificity, and ease of use. However, despite the availability of several PCR and real-time quantitative PCR methods, many face issues with analytical specificity. Given the ongoing global evolution of X. fragariae and the emergence of new variants, there is a critical need for adaptable detection methods. In this study, we designed a specific primer pair (XfOG4-F/XfOG4-R) through comparative genomic analysis of 660 genomes from the Xanthomonas genus. This primer set targets a region uniquely and consistently present in all eighty-one X. fragariae genomes available on NCBI. We validated the primer pair's specificity using colony PCR with both target X. fragariae strains and non-target Xanthomonas strains. Detection sensitivity was assessed using PCR and qPCR on isolated DNA and bacterial cell suspensions, both in vitro and in artificially inoculated strawberry leaves. The qPCR method demonstrated sensitivity 100 times higher than standard PCR. Additionally, the PCR test successfully detected the pathogen in extracts from naturally infected strawberry crown samples collected on farms. The new primer set showed improved analytical specificity over previously reported primers, offering a valuable tool for detecting X. fragariae-infected plants in future field surveys.