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The infamous oomycete Phytophthora infestans has been a persistent threat to potato and tomato production worldwide, causing the diseases known as late blight. This pathogen has proved to be remarkably adept at overcoming control strategies including host-based resistance and fungicides. This review describes the features of P. infestans that make it such a daunting challenge to agriculture. These include a stealthy lifestyle that helps P. infestans evade plant defenses, effectors that suppress host defenses and promote susceptibility, profuse sporulation with a short latent period that enables rapid dissemination, and a genome structure that promotes the adaptive evolution of P. infestans by fostering genetic diversity. Nevertheless, there is reason to be optimistic that accumulated knowledge about the biology of P. infestans and its hosts will lead to improved management of late blight.

The oomycete pathogen Phytophthora infestans causes potato and tomato late blight, a disease that is a serious threat to agriculture. P. infestans is a hemibiotrophic pathogen, and during infection, it scavenges nutrients from living host cells for its own proliferation. To date, the nutrient flux from host to pathogen during infection has hardly been studied, and the interlinked metabolisms of the pathogen and host remain poorly understood. Here, we reconstructed an integrated metabolic model of P. infestans and tomato (Solanum lycopersicum) by integrating two previously published models for both species. We used this integrated model to simulate metabolic fluxes from host to pathogen and explored the topology of the model to study the dependencies of the metabolism of P. infestans on that of tomato. This showed, for example, that P. infestans, a thiamine auxotroph, depends on certain metabolic reactions of the tomato thiamine biosynthesis. We also exploited dual-transcriptome data of a time course of a full late blight infection cycle on tomato leaves and integrated the expression of metabolic enzymes in the model. This revealed profound changes in pathogen-host metabolism during infection. As infection progresses, P. infestans performs less de novo synthesis of metabolites and scavenges more metabolites from tomato. This integrated metabolic model for the P. infestans-tomato interaction provides a framework to integrate data and generate hypotheses about in planta nutrition of P. infestans throughout its infection cycle. IMPORTANCE Late blight disease caused by the oomycete pathogen Phytophthora infestans leads to extensive yield losses in tomato and potato cultivation worldwide. To effectively control this pathogen, a thorough understanding of the mechanisms shaping the interaction with its hosts is paramount. While considerable work has focused on exploring host defense mechanisms and identifying P. infestans proteins contributing to virulence and pathogenicity, the nutritional strategies of the pathogen are mostly unresolved. Genome-scale metabolic models (GEMs) can be used to simulate metabolic fluxes and help in unravelling the complex nature of metabolism. We integrated a GEM of tomato with a GEM of P. infestans to simulate the metabolic fluxes that occur during infection. This yields insights into the nutrients that P. infestans obtains during different phases of the infection cycle and helps in generating hypotheses about nutrition in planta.

DNA transformation and homology-based transcriptional silencing are frequently used to assess gene function in Phytophthora spp. Since unplanned side-effects of these tools are not well-characterized, we used P. infestans to study plasmid integration sites and whether knockdowns caused by homology-dependent silencing spread to other genes. Insertions occurred both in gene-dense and gene-sparse regions but disproportionately near the 5′ ends of genes, which disrupted native coding sequences. Microhomology at the recombination site between plasmid and chromosome was common. Studies of transformants silenced for 12 different gene targets indicated that neighbors within 500 nt were often cosilenced, regardless of whether hairpin or sense constructs were employed and the direction of transcription of the target. However, this cis spreading of silencing did not occur in all transformants obtained with the same plasmid. Genome-wide studies indicated that unlinked genes with partial complementarity with the silencing-inducing transgene were not usually down-regulated. We learned that hairpin or sense transgenes were not cosilenced with the target in all transformants, which informs how screens for silencing should be performed. We conclude that transformation and gene silencing can be reliable tools for functional genomics in Phytophthora spp. but must be used carefully, especially by testing for the spread of silencing to genes flanking the target.

Simple sequence repeats (SSR) markers were developed from a small insert genomic library for Bipolaris sorokiniana, a mitosporic fungal pathogen that causes spot blotch and root rot in switchgrass. About 59% of sequenced clones (n = 384) harbored SSR motifs. After eliminating redundant sequences, 196 SSR loci were identified, of which 84.7% were dinucleotide repeats and 9.7% and 5.6% were tri- and tetra-nucleotide repeats, respectively. Primer pairs were designed for 105 loci and 85 successfully amplified loci. Sixteen polymorphic loci were characterized with 15 B. sorokiniana isolates obtained from infected switchgrass plant materials collected from five states in USA. These loci successfully cross-amplified isolates from at least one related species, including Bipolaris oryzae, Bipolaris spicifera and Bipolaris victoriae, that causes leaf spot on switchgrass. Haploid gene diversity per locus across all isolates studied varied 0.633-0.861. Principal component analysis of SSR data clustered isolates according to their respective species. These SSR markers will be a valuable tool for genetic variability and population studies of B. sorokiniana and related species that are pathogenic on switchgrass and other host plants. In addition, these markers are potential diagnostic tools for species in the genus Bipolaris.