Multilocus sequence and phenotypic analysis of Pectobacterium and Dickeya type strains for identification of soft rot Pectobacteriaceae from symptomatic potato stems and tubers in Pennsylvania.

Outbreaks of potato blackleg and soft rot caused by Pectobacterium species and more recently Dickeya species across the U.S. mid-Atlantic region have caused yield loss due to poor emergence as well as losses from stem and tuber rot. To develop management strategies for soft rot diseases, we must first identify which members of the soft rot Pectobacteriaceae are present in regional potato plantings. However, the rapidly expanding number of soft rot Pectobacteriaceae species and the lack of readily available comparative data for type strains of Pectobacterium and Dickeya hinder quick identification. This manuscript provides a comparative analysis of soft rot Pectobacteriaceae and a comprehensive comparison of type strains from this group using rep-PCR, MLSA and 16S sequence analysis, as well as phenotypic and physiological analyses using Biolog GEN III plates. These data were used to identify isolates cultured from symptomatic potato stems collected between 2016 and 2018. The isolates were characterized for phenotypic traits and by sequence analysis to identify the bacteria from potatoes with blackleg and soft rot symptoms in Pennsylvania potato fields. In this survey, P. actinidiae, P. brasiliense, P. polonicum, P. polaris, P. punjabense, P. parmentieri, and P. versatile were identified from Pennsylvania for the first time. Importantly, the presence of P. actinidiae in Pennsylvania represents the first report of this organism in the U.S. As expected, P. carotorvorum and D. dianthicola were also isolated. In addition to a resource for future work studying the Dickeya and Pectobacterium associated with potato blackleg and soft rot, we provide recommendations for future surveys to monitor for quarantine or emerging soft rot Pectobacteriace regionally.

Environmental and Management Factors Associated with Bacterial Diseases of Onion in Pennsylvania.

Bacterial diseases of onion may result in over 60% yield loss in crops grown in the Mid-Atlantic region, even when managed with recommended chemical and cultural practices. To identify environmental and production factors associated with the high incidence of bacterial rots in Pennsylvania, data on 32 environmental and management variables ranging from soil temperature to foliar nutrients were recorded during three visits to each of 28 and 26 fields, surveyed in 2011 and 2012, respectively. Multiple linear regression indicated negative relationships between foliar nitrogen and carbon at midseason and total incidence of bacterial rots. Soil temperatures near the physiological onset of bulbing were positively related to bacterial rots in multiple datasets. These results suggest greater complexity may be necessary for N fertility recommendations: timing of inorganic N application should be considered in addition to the seasonal N rate applied. Lower soil temperatures, particularly near the physiological onset of bulbing, may also reduce the incidence of bacterial rots of onion.

Genetic Variation within Clonal Lineages of Phytophthora infestans Revealed through Genotyping-By-Sequencing, and Implications for Late Blight Epidemiology.

Genotyping-by-sequencing (GBS) was performed on 257 Phytophthora infestans isolates belonging to four clonal lineages to study within-lineage diversity. The four lineages used in the study were US-8 (n = 28), US-11 (n = 27), US-23 (n = 166), and US-24 (n = 36), with isolates originating from 23 of the United States and Ontario, Canada. The majority of isolates were collected between 2010 and 2014 (94%), with the remaining isolates collected from 1994 to 2009, and 2015. Between 3,774 and 5,070 single-nucleotide polymorphisms (SNPs) were identified within each lineage and were used to investigate relationships among individuals. K-means hierarchical clustering revealed three clusters within lineage US-23, with US-23 isolates clustering more by collection year than by geographic origin. K-means hierarchical clustering did not reveal significant clustering within the smaller US-8, US-11, and US-24 data sets. Neighbor-joining (NJ) trees were also constructed for each lineage. All four NJ trees revealed evidence for pathogen dispersal and overwintering within regions, as well as long-distance pathogen transport across regions. In the US-23 NJ tree, grouping by year was more prominent than grouping by region, which indicates the importance of long-distance pathogen transport as a source of initial late blight inoculum. Our results support previous studies that found significant genetic diversity within clonal lineages of P. infestans and show that GBS offers sufficiently high resolution to detect sub-structuring within clonal populations.