Detection and Control of Pantoea agglomerans Causing Plum Bacterial Shot-Hole Disease by Loop-Mediated Isothermal Amplification Technique

A Colorimetric RT-LAMP Assay for Rapid Detection of Soybean mosaic Virus SC15

Soybean mosaic virus (SMV) represents one of the most devastating viral diseases affecting soybeans worldwide. Among its strains, SMV-SC15 is notable for its virulence, predominance, and widespread occurrence. Rapid and on-site diagnosis is important for controlling the spread of SMV-SC15. In this study, we proposed a colorimetric reverse-transcription loop-mediated isothermal amplification (RT-LAMP) assay for the detection of SMV-SC15 using three color indicators for visual interpretation: Neutral Red (N-Red), Bromothymol Blue (BTB), and SYBR Green I. The SMV-SC15 in the soybean tissue was detected with remarkable sensitivity and specificity within 30 min, achieving a detection limit as low as 10-4 ng/μL. 200 soybean leaf samples from the field were analyzed by the colorimetric RT-LAMP assays, holding significant potential for rapid screening of SMV-SC15-resistant cultivars, thereby contributing to effective SMV control.

Screening and characterization of biocontrol bacteria isolated from Ageratum conyzoides against Collectotrichum fructicola causing Chinese plum (Prunus salicina Lindl.) anthracnose

Chinese plum (Prunus salicina Lindl.) is a nutritionally and economically important stone fruit widely grown around the world. Anthracnose, caused by Collectotrichum spp., is one of the primary biotic stress factors limiting plum production. Medicinal plants may harbor rhizospheric or endophytic microorganisms that produce bioactive metabolites that can be used as anthracnose biocontrol agents. Here, 27 bacterial isolates from the medicinal plant A. conyzoides with diverse antagonistic activities against C. fructicola were screened. Based on morphological, physiological, biochemical, and molecular characterization, 25 of these isolates belong to different species of genus Bacillus, one to Pseudomonas monsensis, and one more to Microbacterium phyllosphaerae. Eight representative strains showed high biocontrol efficacy against plum anthracnose in a pot experiment. In addition, several Bacillus isolates showed a broad spectrum of inhibitory activity against a variety of fungal phytopathogens. Analysis of the volatile organic compound profile of these eight representative strains revealed a total of 47 compounds, most of which were ketones, while the others included alkanes, alkenes, alcohols, pyrazines, and phenols. Overall, this study confirmed the potential value of eight bacterial isolates for development as anthracnose biocontrol agents.

Novel plant disease detection techniques-a brief review

Plant pathogens cause severe losses to agricultural yield worldwide. Tracking plant health and early disease detection is important to reduce the disease spread and thus economic loss. Though visual scouting has been practiced from former times, detection of asymptomatic disease conditions is difficult. So, DNA-based and serological methods gained importance in plant disease detection. The progress in advanced technologies challenges the development of rapid, non-invasive, and on-field detection techniques such as spectroscopy. This review highlights various direct and indirect ways of detecting plant diseases like Enzyme-linked immunosorbent assay, Lateral flow assays, Polymerase chain reaction, spectroscopic techniques and biosensors. Although these techniques are sensitive and pathogen-specific, they are more laborious and time-intensive. As a consequence, a lot of interest is gained in in-field adaptable point-of-care devices with artificial intelligence-assisted pathogen detection at an early stage. More recently computer-aided techniques like neural networks are gaining significance in plant disease detection by image processing. In addition, a concise report on the latest progress achieved in plant disease detection techniques is provided.