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Citrus germplasm programs can benefit from high-throughput polymerase chain reaction (PCR)-based methods for the detection of graft-transmissible pathogens in propagative materials. These methods increase diagnostic capacity, and thus contribute to the prevention of disease spread from nurseries to citrus orchards. High quality nucleic acids, as determined by purity, concentration, and integrity, are a prerequisite for reliable PCR detection of citrus pathogens. Citrus tissues contain high levels of polyphenols and polysaccharides, which can affect nucleic acid quality and inhibit PCR reactions. Various commercially available RNA isolation methods are used for citrus and include: phenol-chloroform (TRIzol®, Thermo Fisher Scientific); silica columns (RNeasy® Plant Mini Kit, Qiagen); and magnetic beads-based methods (MagMAX™-96 Viral RNA Isolation Kit, Thermo Fisher Scientific). To determine the quality of RNA and its impact on the detection of graft-transmissible citrus pathogens in reverse transcription (RT) PCR-based assays, we compared these three RNA isolation methods. We assessed RNA purity, concentration, and integrity from citrus inoculated with different viruses and viroids. All three RNA isolation methods produced high quality RNA, and its use in different RT-PCR assays resulted in the detection of all targeted citrus viruses and viroids with no false positive or negative results. TRIzol® yielded RNA with the highest concentration and integrity values but some samples required serial dilutions to remove PCR inhibitors and detect the targeted pathogens. The RNeasy® kit produced the second highest concentration and purity of RNA, and similar integrity to TRIzol®. MagMAX™ isolation also provided high quality RNA but most importantly produced RNA with consistent results clustered around a median value for concentration, purity, and integrity. Subsequently, MagMAX™-96 was combined with the semi-automated MagMAX™ Express-96 Deep Well Magnetic Particle Processor, for high-throughput sample processing. MagMAX™-96 enabled the diagnostic laboratory of the Citrus Clonal Protection Program-National Clean Plant Network at the University of California, Riverside to process over 16,500 samples from citrus budwood source trees between 2010 and 2019. This high-throughput approach dramatically reduced the incidence of viroids in citrus nurseries and was key to the successful implementation of the mandatory Citrus Nursery Stock Pest Cleanliness Program in California.

Although bacterial host colonization is a dynamic process that requires population growth, studies often focus on comparing bacterial populations at a given time point. However, this may not reflect the dynamics of the colonization process. Time-course assays provide important insights into the dynamics of host colonization but are laborious and may still lack resolution for immediate processes affecting populations. An alternative way to address this issue, using widely accessible tools (such as quantitative PCR [qPCR]), is to take advantage of the relationship between bacterial chromosomal replication and cell division to determine population growth status at the sampling time. Conceptually, the ratio between the number of copies at the origin of replication and that at the terminus of replication should be correlated with the measured bacterial growth rate. This peak-to-trough ratio (PTR) to estimate instantaneous population growth status was tested with the slow-growing plant-pathogenic bacterium Xylella fastidiosa. We found no correlation between PTR and the measured growth rate when using genome-level data but overall sequencing depth of coverage trends matched theoretical expectations. On the other hand, the population growth status of X. fastidiosa was predicted by PTR when using qPCR data, which was improved by the pretreatment of cells with a photoreactive DNA-binding dye. Our results suggest that PTR could be used to determine X. fastidiosa growth status both in planta and in insect vectors. We expect PTR will perform better with fast-growing bacterial pathogens, potentially becoming a powerful tool for easily and quickly assessing population growth status.

Xylella fastidiosa is a plant pathogenic bacterium with devastating consequences to several crops of economic importance across the world. While this pathogen has been studied for over a century in the United States, several aspects of its biology remain to be investigated. Determining the physiological state of bacteria is essential to understand the effects of its interactions with different biotic and abiotic factors on cell viability. Although X. fastidiosa is culturable, its slow growing nature makes this technique cumbersome to assess the physiological state of cells present in a given environment. PMA-qPCR, i.e. the use of quantitative PCR combined with the pre-treatment of cells with the dye propidium monoazide, has been successfully used in a number of studies on human pathogens to calculate the proportion of viable cells, but has less frequently been tested on plant pathogens. We found that the use of a version of PMA, PMAxx, facilitated distinguishing between viable and non-viable cells based on cell membrane integrity in vitro and in planta. Additional experiments comparing the number of culturable, viable, and total cells in planta would help further confirm our initial results. Enhancers, intended to improve the efficacy of PMAxx, were not effective and appeared to be slightly toxic to X. fastidiosa.