Loop-mediated isothermal amplification detection of , , and the NA1 lineage on a microfluidic chip and smartphone platform.

Rapid, field-deployable assays such as loop-mediated isothermal amplification (LAMP) are critical for detecting nursery and forest pathogens like and to prevent pathogen spread. We developed and validated four LAMP assays for genus-level detection of spp., species-level detection of and and lineage-level detection of the NA1 lineage.

Evolution of Phytophthora infestans on its potato host since the Irish potato famine.

Phytophthora infestans is a major oomycete plant pathogen, responsible for potato late blight, which led to the Irish Potato Famine from 1845-1852. Since then, potatoes resistant to this disease have been bred and deployed worldwide. Their resistance (R) genes recognize pathogen effectors responsible for virulence and then induce a plant response stopping disease progression.

Rapid Detection of Viral, Bacterial, Fungal, and Oomycete Pathogens on Tomatoes with Microneedles, LAMP on a Microfluidic Chip, and Smartphone Device.

Rapid detection of plant diseases before they escalate can improve disease control. Our team has developed rapid nucleic acid extraction methods with microneedles and combined these with loop-mediated amplification (LAMP) assays for pathogen detection in the field. In this work, we developed LAMP assays for early blight (, , and ) and bacterial spot of tomato () and validated these LAMP assays and two previously developed LAMP assays for tomato spotted wilt virus and late blight.

Reconstructing historic and modern potato late blight outbreaks using text analytics.

In 1843, a hitherto unknown plant pathogen entered the US and spread to potato fields in the northeast. By 1845, the pathogen had reached Ireland leading to devastating famine. Questions arose immediately about the source of the outbreaks and how the disease should be managed.

Metagenomic study reveals hidden relationships among fungal diversity, variation of plant disease, and genetic distance in (Cornaceae).

Introduction: Understanding patterns of plant-microbe interactions across plant species and populations is a critical yet poorly characterized aspect in the field of plant pathology. Microbial DNA sequences present as contaminants in omics data of plants obtained using next-generation sequencing methods provide a valuable source to explore the relationships among endophytic microbial diversity, disease and genetic differentiation of host plants, and environmental variation, but few such studies have been conducted. The flowering dogwood tree ( L.