Jeff H. Chang’s research while affiliated with Oregon State University and other places

Members of the Phytophthora genus are responsible for many important diseases in agricultural and natural ecosystems. Phytophthora ramorum causes devastating diseases of oak, and tanoak stands in US forests and larch in the UK. The four evolutionary lineages involved express different virulence phenotypes on plant hosts, and characterization of gene content is foundational to understanding the basis for these differences. Recent discovery of P. ramorum at its candidate center of origin in Asia provides a new opportunity for investigating the evolutionary history of the species. We assembled, high-quality genome sequences of six P. ramorum isolates representing three lineages from Asia and three causing epidemics in western US forests. The six genomes were assembled into 13 putative chromosomes. Analysis of structural variation revealed multiple chromosome fusion and fission events. Analysis of putative virulence genes revealed variations in effector gene composition among the sequenced lineages. We further characterized their evolutionary history and inferred a contraction of crinkler-encoding genes in the subclade of Phytophthora containing P. ramorum. There were losses of multiple families and a near complete loss of paralogs in the largest core crinkler family in the ancestor of P. ramorum and sister species P. lateralis. Secreted glycoside hydrolase enzymes showed a similar degree of variation in abundance among genomes of P. ramorum lineages as that observed among several Phytophthora species. We found plasticity among genomes from multiple lineages in a Phytophthora species and provide insights into the evolutionary history of a class of anciently conserved effector genes.

Caves are a unique ecosystem that harbor diverse microorganisms, and provide a challenging environment to the dwelling microbial communities, which may boost gene expression and can lead to the production of inimitable bioactive natural products. In this study, we obtained 59 actinobacteria from four different caves located in Bahadurkhel, District Karak, Pakistan. On the basis of taxonomic characteristics, 30 isolates were selected and screened for secondary metabolites production and bioactivity profiling. The extracts of all the isolates exhibited promising antibacterial activity against several pathogenic bacteria, with the best outcome seen in the extract of isolate SNK 21. The metabolomic analysis of the extracts by LC–MS/MS-based molecular networking and whole genome sequencing (WGS) followed by antiSMASH analysis revealed the presence of diverse secondary metabolites and biosynthetic gene clusters (BGCs) in SNK 21. Purification of compounds by manual chromatography, HPLC, and characterization by NMR, HR-MS, led to the identification of the active compounds, actinomycin D and its isomer. In addition, metabolomic analysis and genome mining of morphologically distinct isolates, SNK 202 and SNK 329, also showed diverse secondary metabolites and BGCs, underscoring the potential of actinobacteria from undisturbed caves in Pakistan as a new source of bioactive compounds.

Understanding the ecology of pathogens is important for disease management. Recently a devastating canker disease was found on red alder (Alnus rubra) planted as landscape trees. Bacteria were isolated from two groups of symptomatic trees located approximately 1 kilometer apart and one strain from each group was used to complete Koch’s postulates. Results showed that these bacteria can not only cause disease on red alder but also on two other alder species. Unexpectedly, analyses of genome sequences of bacterial strains identified them as Lonsdalea quercina, a pathogenic species previously known to cause dieback of oak species, but not alder. Additionally, a core genome phylogeny clustered bacterial strains isolated from red alder within a subclade of L. quercina strains isolated from symptomatic oak trees. Consistent with the close phylogenetic relationship, there was no obvious evidence for divergence in genome composition of strains isolated from red alder and oak. Altogether, findings indicate that L. quercina is a potential threat to Alnus species.

Listeria monocytogenes is a foodborne pathogen of concern in dairy processing facilities, with the potential to cause human illness and trigger regulatory actions if found in the product. Monitoring for Listeria spp. through environmental sampling is recommended to prevent establishment of these microorganisms in dairy processing environments, thereby reducing the risk of product contamination. To inform on L. monocytogenes diversity and transmission, we analyzed genome sequences of L. monocytogenes strains (n = 88) obtained through the British Columbia Dairy Inspection Program. Strains were recovered from five different dairy processing facilities over a 10 year period (2007–2017). Analysis of whole genome sequences (WGS) grouped the isolates into nine sequence types and 11 cgMLST types (CT). The majority of isolates (93%) belonged to lineage II. Within each CT, single nucleotide polymorphism (SNP) differences ranged from 0 to 237 between isolates. A highly similar (0–16 SNPs) cluster of over 60 isolates, collected over 9 years within one facility (#71), was identified suggesting a possible persistent population. Analyses of genome content revealed a low frequency of genes associated with stress tolerance, with the exception of widely disseminated cadmium resistance genes cadA1 and cadA2. The distribution of virulence genes and mutations within internalin genes varied across the isolates and facilities. Further studies are needed to elucidate their phenotypic effect on pathogenicity and stress response. These findings demonstrate the diversity of L. monocytogenes isolates across dairy facilities in the same region. Findings also showed the utility of using WGS to discern potential persistence events within a single facility over time.

The landscape of scientific publishing is experiencing a transformative shift towards open access (OA), a paradigm that mandates the availability of research outputs such as data, code, materials, and publications. OA provides increased reproducibility and allows for reuse of these resources. This article provides guidance for best publishing practices of scientific research, data, and associated resources, including code, in APS journals. Key areas such as diagnostic assays, experimental design, data sharing, and code deposition are explored in detail. This guidance is in line with those observed by other leading journals. We hope the information assembled in this paper will raise awareness of best practices and enable greater appraisal of the true effects of biological phenomena in plant pathology.

Mobile genetic elements can innovate bacteria with new traits. In plant pathogenic Streptomyces, frequent and recent acquisition of integrative and conjugative or mobilizable genetic elements is predicted to lead to the emergence of new lineages that gained the capacity to synthesize Thaxtomin, a phytotoxin neccesary for induction of common scab disease on tuber and root crops. Here, we identified components of the Streptomyces -potato pathosystem implicated in virulence and investigated them as a nested and interacting system to reevaluate evolutionary models. We sequenced and analysed genomes of 166 strains isolated from over six decades of sampling primarily from field-grown potatoes. Virulence genes were associated to multiple subtypes of genetic elements differing in mechanisms of transmission and evolutionary histories. Evidence is consistent with few ancient acquisition events followed by recurrent loss or swaps of elements carrying Thaxtomin A-associated genes. Subtypes of another genetic element implicated in virulence are more distributed across Streptomyces . However, neither the subtype classification of genetic elements containing virulence genes nor taxonomic identity was predictive of pathogenicity on potato. Last, findings suggested that phytopathogenic strains are generally endemic to potato fields and some lineages were established by historical spread and further dispersed by few recent transmission events. Results from a hierarchical and system-wide characterization refine our understanding by revealing multiple mechanisms that gene and bacterial dispersion have had on shaping the evolution of a Gram-positive pathogen in agricultural settings.

Members of Agrobacterium are costly plant pathogens while also essential tools for plant transformation. Though Agrobacterium-mediated transformation (AMT) has been heavily studied, its polygenic nature and its complex transcriptional regulation make identifying the genetic basis of transformational efficiency difficult through traditional genetic and bioinformatic approaches. Here we use a bottom-up synthetic approach to systematically refactor the tumor-inducing plasmid, wherein the majority of AMT machine components are encoded, into a minimal set of genes capable of plant and fungal transformation that is both controllable and orthogonal to its environment. We demonstrate that engineered vectors can be transferred to new heterologous bacteria, enabling them to transform plants. Our reductionist approach demonstrates how bottom-up engineering can be used to dissect and elucidate the genetic underpinnings of complex biological traits, and may lead to the development of strains of bacteria more capable of transforming recalcitrant plant species of societal importance.

Agrobacteria are a diverse, polyphyletic group of prokaryotes with multipartite genomes capable of transferring DNA into the genomes of host plants, making them an essential tool in plant biotechnology. Despite their utility in plant transformation, genome-wide transcriptional regulation is not well understood across the three main lineages of agrobacteria. Transcription start sites (TSSs) are a necessary component of gene expression and regulation. In this study, we used differential RNA-seq and a TSS identification algorithm optimized on manually annotated TSS, then validated with existing TSS to identify thousands of TSS with nucleotide resolution for representatives of each lineage. We extend upon the 356 TSSs previously reported in Agrobacterium fabrum C58 by identifying 1,916 TSSs. In addition, we completed genomes and phenotyping of Rhizobium rhizogenes C16/80 and Allorhizobium vitis T60/94, identifying 2,650 and 2,432 TSSs, respectively. Parameter optimization was crucial for an accurate, high-resolution view of genome and transcriptional dynamics, highlighting the importance of algorithm optimization in genome-wide TSS identification and genomics at large. The optimized algorithm reduced the number of TSSs identified internal and antisense to the coding sequence on average by 90.5% and 91.9%, respectively. Comparison of TSS conservation between orthologs of the three lineages revealed differences in cell cycle regulation of ctrA as well as divergence of transcriptional regulation of chemotaxis-related genes when grown in conditions that simulate the plant environment. These results provide a framework to elucidate the mechanistic basis and evolution of pathology across the three main lineages of agrobacteria. IMPORTANCE Transcription start sites (TSSs) are fundamental for understanding gene expression and regulation. Agrobacteria, a group of prokaryotes with the ability to transfer DNA into the genomes of host plants, are widely used in plant biotechnology. However, the genome-wide transcriptional regulation of agrobacteria is not well understood, especially in less-studied lineages. Differential RNA-seq and an optimized algorithm enabled identification of thousands of TSSs with nucleotide resolution for representatives of each lineage. The results of this study provide a framework for elucidating the mechanistic basis and evolution of pathology across the three main lineages of agrobacteria. The optimized algorithm also highlights the importance of parameter optimization in genome-wide TSS identification and genomics at large.