Phylogeny and classification of Dickeya based on multilocus sequence analysis

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.

First report of Dickeya dadantii causing bacterial soft rot of Thaumatophyllum bipinnatifidum in Taiwan

Philodendrons are important foliage ornamentals planted worldwide (Chen et al. 2010). In November 2021, soft rot symptoms were observed on Philodendron selloum (now known as Thaumatophyllum bipinnatifidum; Sakuragui et al. 2018) grown in a nursery in Taichung, Taiwan. On symptomatic plants, the petioles were macerated; leaf lesions were also found on some plants (Figure S1). About 60% of the plants on site were symptomatic; these plants tended to cluster together. Four plants were sampled. Infected tissues were soaked and cut into pieces in 10 mM MgCl2 (using scalpels); undiluted samples were streak-plated onto nutrient agar (NA) and grown for 24 h at 28°C. Translucent, creamy-white colonies were isolated from all of the tissues examined, and 4 isolates, PHIL1 to PHIL4, were obtained (each from a different plant). All isolates exhibited typical phenotypes of bacteria belonging to Dickeya; they could cause maceration symptoms on potato slices, ferment glucose and produce phosphatase (Schaad et al. 2001); they could also produce indigoidine on NGM medium (NA added with glycerol and MnCl2; Lee and Yu. 2006). Polymerase chain reactions using Dickeya-specific primers 5A and 5B (Chao et al. 2006) amplified the expected amplicon in all 4 isolates. The 16S rDNA of PHIL1 to PHIL4 were amplified using primer pair 27f/1492r (Lane 1991) and the amplicons were sequenced; all 4 isolates shared the same 1,395-bp sequence (accession nos. ON203122, ON479664-ON479666). Among the strains belonging to known species (in GenBank), PHIL1 to PHIL4 shared the highest sequence identity (99.93%) with D. dadantii 3937; they also shared 98.78% sequence identity with D. dadantii CFBP 1269T. Multilocus sequence analysis (MLSA) targeting fragments of PHIL1 to PHIL4's dnaA (720 bp), dnaJ (672 bp), dnaX (450 bp), gyrB (822 bp), and recN (762 bp) genes (Marrero et al. 2013) were conducted. The five-gene concatenated sequences (3,426 bp) of the 4 isolates (accession nos. ON227444-ON227448, ON494509-ON494523) were identical. A maximum-likelihood phylogenetic analysis including these sequences and those of type strains of other known Dickeya species revealed that PHIL1 to PHIL4 clustered with strains belonging to D. dadantii (Figure S2). Koch's postulates were fulfilled with an inoculation test conducted on T. bipinnatifidum (17 cm in aboveground height; 7-months-old). Stab inoculation using sterile toothpicks was conducted on petioles. Three plants were tested for each isolate and 2 petioles were inoculated for each plant; all 4 isolates were included in the assay. The pathogen loads inoculated were quantified by the spread plate method and were 3.22 - 4.81 x 107 colony forming units. Three plants were stabbed with bacteria-free toothpicks, serving as controls. All plants were bagged post inoculation and kept in a growth chamber (28°C; 14 h light). After 72 h, all of the inoculated petioles exhibited symptoms resembling those observed in the nursery. Bacteria were re-isolated from the symptomatic tissues (one isolate from each treatment), and all of their five-gene concatenated sequences were the same as those of PHIL1 to PHIL4. This is the first formal report of the occurrence of D. dadantii infecting T. bipinnatifidum in Taiwan. Studies have shown that D. dadantii could affect other Araceae plants in Taiwan (Lee and Chen 2021). Since different Araceae ornamentals are often planted together in gardens and nurseries, growers should be aware of potential transmission of D. dadantii among them.

First Report of Bacterial Pineapple Heart Rot Caused by Dickeya zeae in Puerto Rico

In Puerto Rico, the agricultural production of pineapple (Ananas comosus (L.) Merr.) comprises nearly 5,000 tons harvested annually from over 250 ha (USDA 2018). With an annual income of approximately $3 million USD, pineapple ranks fourth in importance among Puerto Rican crops (USDA 2018). Recently, the pineapple industry on the island underwent a change from growing a local cultivar known as "Cabezona" to cultivar MD2, introduced from Hawaii around 1996 (SEA 2015), because this cultivar produces fruit more than once during a single growing season. In August 2018 (when the rainy season normally starts in Puerto Rico), soft rot symptoms appeared at commercial fields in Manatí (WGS 84 Lat 18.42694, Lng -66.44779) and persisted through 2019. Symptoms observed in the field included foliar water-soaked lesions with gas-filled blisters, especially at the base of the leaf. Leaves exhibited brown discoloration and a fetid odor (rot) at the basal portion of the plant. Finally, leaves collapsed at the center of the pineapple crown, effectively killing the apex and preventing the fruit from developing. Disease incidence ranged from 25% to 40% depending on the weather and season; when there was more rain, there was higher disease incidence. Symptomatic leaves were collected in February 2019, disinfected with 70% ethanol, and rinsed with sterile distilled water. Tissue sections (5mm2) were placed in nutrient agar. Bacterial colony-forming units (CFU) were a translucent cream color, circular, with a flat convex surface and wavy edge. Biochemical analysis showed that bacteria were Gram-negative, oxidase positive, catalase positive, and facultatively anaerobic. Pathogenicity was tested on leaves of one-and-a-half-year-old pineapple seedlings in humid chambers. Bacteria were grown on sterile nutrient agar for 3 days at 25 ± 2°C. Inoculation assays (three replications) were performed using 1X108 CFU/ml of bacteria suspended in sterile water and applied with a cotton swab to leaves wounded with a needle. The inoculated tissue was incubated at 28°C and kept in a dark environment. Negative controls were inoculated with sterile water. Five days after inoculation, foliar water-soaked lesions were observed, followed by the formation of brown leaf tissue and gas-filled blisters, the same symptoms observed in the field. A partial DNA sequence of the 16S rRNA gene of the bacterial isolate and the re-isolated bacteria were amplified using primers 27F and 1492R (Lane et al. 1985) and sequenced. The isolate was determined to the genus Dickeya through a BLAST® search against sequences available in the database of the National Center for Biotechnology Information (NCBI). This partial 16S rRNA sequence of the bacterial isolate was deposited in GenBank® at NCBI (Accession no. MT672704). To determine the identity of the Dickeya species, we sequenced the genes dnaA, gyrB, dnaX, and recN (Marrero et al. 2013) for the bacterial isolate (GenBank accession nos. OM276852, OM276853, OM276854, and OM276855) and conducted a Multilocus Sequence Analysis including reference Dickeya sequences of Marrero et al., 2013. The Phylogenetic analysis (using WinClada) resolved the Puerto Rican isolate as belonging to a clade broadly ascribable to D. zeae, most closely related to strains isolated from earlier Hawaiian pineapple bacterial heart rot outbreaks. Dickeya zeae was responsible for bacterial heart rot of pineapple in Malaysia and was later reported as the causal agent for outbreaks in Costa Rica and Hawaii (Kaneshiro et al. 2008; Sueno et al. 2014; Ramachandran et al. 2015). D. zeae had not previously been reported as causing bacterial heart rot in pineapples in Puerto Rico and this study points to a close relationship with strains first detected in Hawaii and which should further be explored to determine the precise nature of this relationship. This information should facilitate the adoption of effective control measures for this disease on the island, promote more effective methods of preventing future introductions of pathogens, and encourage further investigations into the occurrence of D. zeae on the island.

Building More Resilient Culture Collections: A Call for Increased Deposits of Plant-Associated Bacteria

Biological collections preserve our past, while helping protect our future and increase future knowledge. Plant bacterial culture collections are our security for domestic and global biosecurity. This feature article will provide an introduction to the global position of plant bacterial collections. The role of collections in monitoring plant pathogenic bacteria will be explored through the presentation of five cases studies. These case studies demonstrate why culture collections were imperative for the outcome in each situation. We discuss what we believe should be the best practices to improve microbial preservation and accessioning rates, and why plant bacterial culture collections must increase deposits to be prepared for future emerging pathogens. This is not only the case for global culture collections, but on a much bigger scale, our future scientific successes, our biosecurity decisions and responses, and our knowledge are contingent upon preserving our valuable bacterial strains. It is hoped that once you read this article, you will see the need to deposit your strains in registered public collections and make a concerted effort to build better bacterial culture collections with us.

Proposal for the creation of a new genus Musicola gen. nov., reclassification of Dickeya paradisiaca (Samson et al. 2005) as Musicola paradisiaca comb. nov. and description of a new species Musicola keenii sp. nov

The Pectobacteriaceae family of important plant pathogens includes the genus Dickeya. There are currently 12 described species of Dickeya, although some are poorly characterized at the genomic level. Only two genomes of Dickeya paradisiaca, the type strain CFBP 4178^T and strain Ech703, have previously been sequenced. Members of this species are mostly of tropical or subtropical origin. During an investigation of strains present in our laboratory collection we sequenced the atypical strain A3967, registered as CFBP 722, isolated from Solanum lycopersicum (tomato) in the South of France in 1965. The genome of strain A3967 shares digital DNA-DNA hybridization and average nucleotide identity (ANI) values of 68 and 96 %, respectively, with the D. paradisiaca type strain CFBP 4178^T. However, ANI analysis showed that D. paradisiaca strains are significantly dissimilar to the other Dickeya species, such that less than one third of their genomes align to any other Dickeya genome. On phenotypic, phylogenetic and genomic grounds, we propose a reassignment of D. paradisiaca to the genus level, for which we propose the name Musicola gen. nov., with Musicola paradisiaca as the type species and CFBP 4178^T (NCPPB 2511^T) as the type strain. Phenotypic analysis showed differences between strain A3967^T and CFBP 4178^T, such as for the assimilation of melibiose, raffinose and myo-inositol. These results support the description of two novel species, namely Musicola paradisiaca comb. nov. and Musicola keenii sp. nov., with CFBP 4178^T (NCPPB 2511^T=LMG 2542^T) and A3967^T (CFBP 8732^T=LMG 31880^T) as the type strains, respectively.

Species of Dickeya and Pectobacterium Isolated during an Outbreak of Blackleg and Soft Rot of Potato in Northeastern and North Central United States

An outbreak of bacterial soft rot and blackleg of potato has occurred since 2014 with the epicenter being in the northeastern region of the United States. Multiple species of Pectobacterium and Dickeya are causal agents, resulting in losses to commercial and seed potato production over the past decade in the Northeastern and North Central United States. To clarify the pathogen present at the outset of the epidemic in 2015 and 2016, a phylogenetic study was made of 121 pectolytic soft rot bacteria isolated from symptomatic potato; also included were 27 type strains of Dickeya and Pectobacterium species, and 47 historic reference strains. Phylogenetic trees constructed based on multilocus sequence alignments of concatenated dnaJ, dnaX and gyrB fragments revealed the epidemic isolates to cluster with type strains of D. chrysanthemi, D. dianthicola, D. dadantii, P. atrosepticum, P. brasiliense, P. carotovorum, P. parmentieri, P. polaris, P. punjabense, and P. versatile. Genetic diversity within D. dianthicola strains was low, with one sequence type (ST1) identified in 17 of 19 strains. Pectobacterium parmentieri was more diverse, with ten sequence types detected among 37 of the 2015–2016 strains. This study can aid in monitoring future shifts in potato soft rot pathogens within the U.S. and inform strategies for disease management.

Genomic and Phenotypic Biology of Novel Strains of Dickeya zeae Isolated From Pineapple and Taro in Hawaii: Insights Into Genome Plasticity, Pathogenicity, and Virulence Determinants

Dickeya zeae, a bacterial plant pathogen of the family Pectobacteriaceae, is responsible for a wide range of diseases on potato, maize, rice, banana, pineapple, taro, and ornamentals and significantly reduces crop production. D. zeae causes the soft rot of taro (Colocasia esculenta) and the heart rot of pineapple (Ananas comosus). In this study, we used Pacific Biosciences single-molecule real-time (SMRT) sequencing to sequence two high-quality complete genomes of novel strains of D. zeae: PL65 (size: 4.74997 MB; depth: 701x; GC: 53.6%) and A5410 (size: 4.7792 MB; depth: 558x; GC: 53.5%) isolated from economically important Hawaiian crops, taro, and pineapple, respectively. Additional complete genomes of D. zeae representing three additional hosts (philodendron, rice, and banana) and other species used for a taxonomic comparison were retrieved from the NCBI GenBank genome database. Genomic analyses indicated the truncated type III and IV secretion systems (T3SS and T4SS) in the taro strain, which only harbored one and two genes of T3SS and T4SS, respectively, and showed high heterogeneity in the type VI secretion system (T6SS). Unlike strain EC1, which was isolated from rice and recently reclassified as D. oryzae, neither the genome PL65 nor A5410 harbors the zeamine biosynthesis gene cluster, which plays a key role in virulence of other Dickeya species. The percentages of average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) between the two genomes were 94.47 and 57.00, respectively. In this study, we compared the major virulence factors [plant cell wall-degrading extracellular enzymes and protease (Prt)] produced by D. zeae strains and evaluated the virulence on taro corms and pineapple leaves. Both strains produced Prts, pectate lyases (Pels), and cellulases but no significant quantitative differences were observed (p > 0.05) between the strains. All the strains produced symptoms on taro corms and pineapple leaves, but the strain PL65 produced symptoms more rapidly than others. Our study highlights the genetic constituents of pathogenicity determinants and genomic heterogeneity that will help to understand the virulence mechanisms and aggressiveness of this plant pathogen.

Identification of Three Type II Toxin-Antitoxin Systems in Model Bacterial Plant Pathogen Dickeya dadantii 3937

Type II toxin-antitoxin (TA) systems are genetic elements usually encoding two proteins: a stable toxin and an antitoxin, which binds the toxin and neutralizes its toxic effect. The disturbance in the intracellular toxin and antitoxin ratio typically leads to inhibition of bacterial growth or bacterial cell death. Despite the fact that TA modules are widespread in bacteria and archaea, the biological role of these systems is ambiguous. Nevertheless, a number of studies suggests that the TA modules are engaged in such important processes as biofilm formation, stress response or virulence and maintenance of mobile genetic elements. The Dickeya dadantii 3937 strain serves as a model for pathogens causing the soft-rot disease in a wide range of angiosperm plants. Until now, several chromosome-encoded type II TA systems were identified in silico in the genome of this economically important bacterium, however so far only one of them was experimentally validated. In this study, we investigated three putative type II TA systems in D. dadantii 3937: ccdAB_2Dda, phd-doc_Dda and dhiTA, which represents a novel toxin/antitoxin superfamily. We provide an experimental proof for their functionality in vivo both in D. dadantii and Escherichia coli. Finally, we examined the prevalence of those systems across the Pectobacteriaceae family by a phylogenetic analysis.

The Pectobacterium pangenome, with a focus on Pectobacterium brasiliense, shows a robust core and extensive exchange of genes from a shared gene pool

BACKGROUND

Bacterial plant pathogens of the Pectobacterium genus are responsible for a wide spectrum of diseases in plants, including important crops such as potato, tomato, lettuce, and banana. Investigation of the genetic diversity underlying virulence and host specificity can be performed at genome level by using a comprehensive comparative approach called pangenomics. A pangenomic approach, using newly developed functionalities in PanTools, was applied to analyze the complex phylogeny of the Pectobacterium genus. We specifically used the pangenome to investigate genetic differences between virulent and avirulent strains of P. brasiliense, a potato blackleg causing species dominantly present in Western Europe.

RESULTS

Here we generated a multilevel pangenome for Pectobacterium, comprising 197 strains across 19 species, including type strains, with a focus on P. brasiliense. The extensive phylogenetic analysis of the Pectobacterium genus showed robust distinct clades, with most detail provided by 452,388 parsimony-informative single-nucleotide polymorphisms identified in single-copy orthologs. The average Pectobacterium genome consists of 47% core genes, 1% unique genes, and 52% accessory genes. Using the pangenome, we zoomed in on differences between virulent and avirulent P. brasiliense strains and identified 86 genes associated to virulent strains. We found that the organization of genes is highly structured and linked with gene conservation, function, and transcriptional orientation.

CONCLUSION

The pangenome analysis demonstrates that evolution in Pectobacteria is a highly dynamic process, including gene acquisitions partly in clusters, genome rearrangements, and loss of genes. Pectobacterium species are typically not characterized by a set of species-specific genes, but instead present themselves using new gene combinations from the shared gene pool. A multilevel pangenomic approach, fusing DNA, protein, biological function, taxonomic group, and phenotypes, facilitates studies in a flexible taxonomic context.

Genomic diversity and organization of complex polysaccharide biosynthesis clusters in the genus Dickeya

The pectinolytic genus Dickeya (formerly Erwinia chrysanthemi) comprises numerous pathogenic species which cause diseases in various crops and ornamental plants across the globe. Their pathogenicity is governed by complex multi-factorial processes of adaptive virulence gene regulation. Extracellular polysaccharides and lipopolysaccharides present on bacterial envelope surface play a significant role in the virulence of phytopathogenic bacteria. However, very little is known about the genomic location, diversity, and organization of the polysaccharide and lipopolysaccharide biosynthetic gene clusters in Dickeya. In the present study, we report the diversity and structural organization of the group 4 capsule (G4C)/O-antigen capsule, putative O-antigen lipopolysaccharide, enterobacterial common antigen, and core lipopolysaccharide biosynthesis clusters from 54 Dickeya strains. The presence of these clusters suggests that Dickeya has both capsule and lipopolysaccharide carrying O-antigen to their external surface. These gene clusters are key regulatory components in the composition and structure of the outer surface of Dickeya. The O-antigen capsule/group 4 capsule (G4C) coding region shows a variation in gene content and organization. Based on nucleotide sequence homology in these Dickeya strains, two distinct groups, G4C group I and G4C group II, exist. However, comparatively less variation is observed in the putative O-antigen lipopolysaccharide cluster in Dickeya spp. except for in Dickeya zeae. Also, enterobacterial common antigen and core lipopolysaccharide biosynthesis clusters are present mostly as conserved genomic regions. The variation in the O-antigen capsule and putative O-antigen lipopolysaccharide coding region in relation to their phylogeny suggests a role of multiple horizontal gene transfer (HGT) events. These multiple HGT processes might have been manifested into the current heterogeneity of O-antigen capsules and O-antigen lipopolysaccharides in Dickeya strains during its evolution.

Genome-Informed Recombinase Polymerase Amplification Assay Coupled with a Lateral Flow Device for In-Field Detection of Dickeya Species

Dickeya spp. cause blackleg and soft rot diseases of potato and several other plant species worldwide, resulting in high economic losses. Rapid detection and identification of the pathogen is essential for facilitating efficient disease management. Our aim in this research was to develop a rapid and field-deployable recombinase polymerase amplification (RPA) assay coupled with a lateral flow device (LFD) that will accurately detect Dickeya spp. in infected plant tissues without the need for DNA isolation. A unique genomic region (mglA/mglC genes) conserved among Dickeya spp. was used to design highly specific robust primers and probes for an RPA assay. Assay specificity was validated with 34 representative strains from all Dickeya spp. and 24 strains from other genera and species; no false positives or negatives were detected. An RPA assay targeting the internal transcribed spacer region of the host genome was included to enhance the reliability and accuracy of the Dickeya assay. The detection limit of 1 fg was determined by both sensitivity and spiked sensitivity assays; no inhibitory effects were observed when 1 µl of host sap, macerated in Tris-EDTA buffer, was added to each reaction in the sensitivity tests. The developed RPA assay is rapid, highly accurate, sensitive, and fully field deployable. It has numerous applications in routine diagnostics, surveillance, biosecurity, and disease management.

Dickeya zeae strains isolated from rice, banana and clivia rot plants show great virulence differentials

BACKGROUND

Dickeya zeae is the causal agent of maize and rice foot rot diseases, but recently it was also found to infect banana and cause severe losses in China. Strains from different sources showed significant diversity in nature, implying complicated evolution history and pathogenic mechanisms.

RESULTS

D. zeae strains were isolated from soft rot banana plants and ornamental monocotyledonous Clivia miniata. Compared with D. zeae strain EC1 isolated from rice, clivia isolates did not show any antimicrobial activity, produced less extracellular enzymes, had a much narrow host ranges, but released higher amount of extracellular polysaccharides (EPS). In contrast, the banana isolates in general produced more extracellular enzymes and EPS than strain EC1. Furthermore, we provided evidence that the banana D. zeae isolate MS2 produces a new antibiotic/phytotoxin(s), which differs from the zeamine toxins produced by rice pathogen D. zeae strain EC1 genetically and in its antimicrobial potency.

CONCLUSIONS

The findings from this study expanded the natural host range of D. zeae and highlighted the genetic and phenotypic divergence of D. zeae strains. Conclusions can be drawn from a series of tests that at least two types of D. zeae strains could cause the soft rot disease of banana, with one producing antimicrobial compound while the other producing none, and the D. zeae clivia strains could only infect monocot hosts. D. zeae strains isolated from different sources have diverse virulence characteristics.

The Changing Face of Bacterial Soft-Rot Diseases

Bacterial soft rot is a disease complex caused by multiple genera of gram-negative and gram-positive bacteria, with Dickeya and Pectobacterium being the most widely studied soft-rot bacterial pathogens. In addition to soft rot, these bacteria also cause blackleg of potato, foot rot of rice, and bleeding canker of pear. Multiple Dickeya and Pectobacterium species cause the same symptoms on potato, complicating epidemiology and disease resistance studies. The primary pathogen species present in potato-growing regions differs over time and space, further complicating disease management. Genomics technologies are providing new management possibilities, including improved detection and biocontrol methods that may finally allow effective disease management. The recent development of inbred diploid potato lines is also having a major impact on studying soft-rot pathogens because it is now possible to study soft-rot disease in model plant species that produce starchy vegetative storage organs. Together, these new discoveries have changed how we face diseases caused by these pathogens.

Development of a Loop-Mediated Isothermal Amplification Assay for the Detection of Dickeya spp

Dickeya and Pectobacterium spp. are responsible for soft-rotting diseases of several plant species, some with overlapping host range. On potato, symptoms caused by these pathogens cannot be clearly differentiated. Disease results in the downgrading and rejection of potato seed, thus requiring additional phytosanitary restrictions across Northern Europe and other parts of the world. In an effort to provide a more timely and accurate diagnostic to distinguish these two groups of pathogens, a method for detecting Dickeya spp. using loop-mediated isothermal amplification (LAMP) was developed. The LAMP assay can be used to test crude extracts prepared directly from symptomatic lesions. The entire test can be completed in less than 30 min, making it faster than the current diagnostic standard, the pelADE conventional polymerase chain reaction. Additionally, the LAMP assay was able to detect Dickeya DNA in samples spiked with varying amounts of Pectobacterium DNA, thus demonstrating the highly specific and sensitive nature of the assay, which can be applied on survey samples with mixed soft-rotting bacterial populations.

Novel 'Candidatus Liberibacter' species identified in the Australian eggplant psyllid, Acizzia solanicola

A novel candidate species of the liberibacter genus, 'Candidatus Liberibacter brunswickensis' (CLbr), was identified in the Australian eggplant psyllid, Acizzia solanicola. This is the first discovery of a species belonging to the liberibacter genus in Australia and the first report of a liberibacter species in the psyllid genus Acizzia. This new candidate liberibacter species has not been associated with plant disease, unlike other psyllid-vectored species in the genus including 'Candidatus Liberibacter asiaticus' (CLas), 'Candidatus Liberibacter africanus' (CLaf) and 'Ca. Liberibacter solanacearum' (CLso). This study describes novel generic liberibacter genus primers, used to screen Australian psyllids for the presence of microflora that may confound diagnosis of exotic pathogens. CLbr forms a unique clade in the liberibacter genus based on phylogenetic analysis of the 16S ribosomal ribonucleic acid (rRNA) region and multilocus sequence analysis (MLSA) of seven highly conserved genes, dnaG, gyrB, mutS, nusG, rplA, rpoB and tufB. The MLSA mapping approach described in this article was able to discriminate between two 'Ca. Liberibacter' species within a metagenomic data set and represents a novel approach to detecting and differentiating unculturable species of liberibacter. Further, CLbr can confound the Li et al. (2006) quantitative PCR (qPCR) diagnostic tests for CLas and CLaf.

Taxonomy and systematics of plant probiotic bacteria in the genomic era

Recent decades have predicted significant changes within our concept of plant endophytes, from only a small number specific microorganisms being able to colonize plant tissues, to whole communities that live and interact with their hosts and each other. Many of these microorganisms are responsible for health status of the plant, and have become known in recent years as plant probiotics. Contrary to human probiotics, they belong to many different phyla and have usually had each genus analysed independently, which has resulted in lack of a complete taxonomic analysis as a group. This review scrutinizes the plant probiotic concept, and the taxonomic status of plant probiotic bacteria, based on both traditional and more recent approaches. Phylogenomic studies and genes with implications in plant-beneficial effects are discussed. This report covers some representative probiotic bacteria of the phylum Proteobacteria, Actinobacteria, Firmicutes and Bacteroidetes, but also includes minor representatives and less studied groups within these phyla which have been identified as plant probiotics.

Phylogenetics of family Enterobacteriaceae and proposal to reclassify Escherichia hermannii and Salmonella subterranea as Atlantibacter hermannii and Atlantibacter subterranea gen. nov., comb. nov

Multilocus sequence analysis based on hypervariable housekeeping proteins was utilized to differentiate closely related species in the family Enterobacteriaceae. Of 150 housekeeping proteins, the top 10 hypervariable proteins were selected and concatenated to obtain distance data. Distances between concatenated proteins within the family were 0.9-41.2%, whereas the 16S rRNA and atpD-gyrB-infB-rpoB concatenated sequence (4MLSA) distances were 0.8-6.0% and 0.9-22.1%, respectively. These data indicate that phylogenetic analysis by concatenation of hypervariable proteins is a powerful tool for discriminating species in the family Enterobacteriaceae. To confirm the discriminatory power of the 10 chosen concatenated hypervariable proteins (C10HKP), phylogenetic trees based on C10HKP, 4MLSA, and the 16S rRNA gene were constructed. Comparison of average bootstrap values among C10HKP, 4MLSA and 16S rRNA genes indicated that the C10HKP tree was the most reliable. Location via the C10HKP tree was consistent with existing assignments for almost all species in the family Enterobacteriaceae. However, the C10HKP tree suggested that several species (including Enterobacter massiliensis, Escherichia vulneris, Escherichia hermannii, and Salmonella subterranea) should be reassigned to different clusters than those defined in previous analyses. Furthermore, E. hermannii and S. subterranea appeared to fall onto a branch independent from those occupied by the other Enterobacteriaceae. Therefore, we propose Atlantibacter gen. nov., such that E. hermannii and S. subterranea would be transferred to genus Atlantibacter as Atlantibacter hermannii, comb. nov. and Atlantibacter subterranea. comb. nov., respectively.

Genome-wide analyses of chitin synthases identify horizontal gene transfers towards bacteria and allow a robust and unifying classification into fungi

BACKGROUND

Chitin, the second most abundant biopolymer on earth after cellulose, is found in probably all fungi, many animals (mainly invertebrates), several protists and a few algae, playing an essential role in the development of many of them. This polysaccharide is produced by type 2 glycosyltransferases, called chitin synthases (CHS). There are several contradictory classifications of CHS isoenzymes and, as regards their evolutionary history, their origin and diversity is still a matter of debate.

RESULTS

A genome-wide analysis resulted in the detection of more than eight hundred putative chitin synthases in proteomes associated with about 130 genomes. Phylogenetic analyses were performed with special care to avoid any pitfalls associated with the peculiarities of these sequences (e.g. highly variable regions, truncated or recombined sequences, long-branch attraction). This allowed us to revise and unify the fungal CHS classification and to study the evolutionary history of the CHS multigenic family. This update has the advantage of being user-friendly due to the development of a dedicated website ( http://wwwabi.snv.jussieu.fr/public/CHSdb ), and it includes any correspondences with previously published classifications and mutants. Concerning the evolutionary history of CHS, this family has mainly evolved via duplications and losses. However, it is likely that several horizontal gene transfers (HGT) also occurred in eukaryotic microorganisms and, even more surprisingly, in bacteria.

CONCLUSIONS

This comprehensive multi-species analysis contributes to the classification of fungal CHS, in particular by optimizing its robustness, consensuality and accessibility. It also highlights the importance of HGT in the evolutionary history of CHS and describes bacterial chs genes for the first time. Many of the bacteria that have acquired a chitin synthase are plant pathogens (e.g. Dickeya spp; Pectobacterium spp; Brenneria spp; Agrobacterium vitis and Pseudomonas cichorii). Whether they are able to produce a chitin exopolysaccharide or secrete chitooligosaccharides requires further investigation.

Gall-ID: tools for genotyping gall-causing phytopathogenic bacteria

Understanding the population structure and genetic diversity of plant pathogens, as well as the effect of agricultural practices on pathogen evolution, is important for disease management. Developments in molecular methods have contributed to increase the resolution for accurate pathogen identification, but those based on analysis of DNA sequences can be less straightforward to use. To address this, we developed Gall-ID, a web-based platform that uses DNA sequence information from 16S rDNA, multilocus sequence analysis and whole genome sequences to group disease-associated bacteria to their taxonomic units. Gall-ID was developed with a particular focus on gall-forming bacteria belonging to Agrobacterium, Pseudomonas savastanoi, Pantoea agglomerans, and Rhodococcus. Members of these groups of bacteria cause growth deformation of plants, and some are capable of infecting many species of field, orchard, and nursery crops. Gall-ID also enables the use of high-throughput sequencing reads to search for evidence for homologs of characterized virulence genes, and provides downloadable software pipelines for automating multilocus sequence analysis, analyzing genome sequences for average nucleotide identity, and constructing core genome phylogenies. Lastly, additional databases were included in Gall-ID to help determine the identity of other plant pathogenic bacteria that may be in microbial communities associated with galls or causative agents in other diseased tissues of plants. The URL for Gall-ID is http://gall-id.cgrb.oregonstate.edu/.

From multiple pathogenicity islands to a unique organized pathogenicity archipelago

Pathogenicity islands are sets of successive genes in a genome that determine the virulence of a bacterium. In a growing number of studies, bacterial virulence appears to be determined by multiple islands scattered along the genome. This is the case in a family of seven plant pathogens and a human pathogen that, under KdgR regulation, massively secrete enzymes such as pectinases that degrade plant cell wall. Here we show that their multiple pathogenicity islands form together a coherently organized, single “archipelago” at the genome scale. Furthermore, in half of the species, most genes encoding secreted pectinases are expressed from the same DNA strand (transcriptional co-orientation). This genome architecture favors DNA conformations that are conducive to genes spatial co-localization, sometimes complemented by co-orientation. As proteins tend to be synthetized close to their encoding genes in bacteria, we propose that this architecture would favor the efficient funneling of pectinases at convergent points within the cell. The underlying functional hypothesis is that this convergent funneling of the full blend of pectinases constitutes a crucial strategy for successful degradation of the plant cell wall. Altogether, our work provides a new approach to describe and predict, at the genome scale, the full virulence complement.

Virulence Program of a Bacterial Plant Pathogen: The Dickeya Model

The pectinolytic Dickeya spp. are Gram-negative bacteria causing severe disease in a wide range of plant species. Although the Dickeya genus was initially restricted to tropical and subtropical areas, two Dickeya species (D. dianthicola and D. solani) emerged recently in potato cultures in Europe. Soft-rot, the visible symptoms, is caused by plant cell wall degrading enzymes, mainly pectate lyases (Pels) that cleave the pectin polymer. However, an efficient colonization of the host requires many additional elements including early factors (eg, flagella, lipopolysaccharide, and exopolysaccharide) that allow adhesion of the bacteria and intermediate factors involved in adaptation to new growth conditions encountered in the host (eg, oxidative stress, iron starvation, and toxic compounds). To facilitate this adaptation, Dickeya have developed complex regulatory networks ensuring appropriate expression of virulence genes. This review presents recent advances in our understanding of the signals and genetic circuits impacting the expression of virulence determinants. Special attention is paid to integrated control of virulence functions by variations in the superhelical density of chromosomal DNA, and the global and specific regulators, making the regulation of Dickeya virulence an especially attractive model for those interested in relationships between the chromosomal dynamics and gene regulatory networks.

Functional Basis of Microorganism Classification

Correctly identifying nearest “neighbors” of a given microorganism is important in industrial and clinical applications where close relationships imply similar treatment. Microbial classification based on similarity of physiological and genetic organism traits (polyphasic similarity) is experimentally difficult and, arguably, subjective. Evolutionary relatedness, inferred from phylogenetic markers, facilitates classification but does not guarantee functional identity between members of the same taxon or lack of similarity between different taxa. Using over thirteen hundred sequenced bacterial genomes, we built a novel function-based microorganism classification scheme, functional-repertoire similarity-based organism network (FuSiON; flattened to fusion). Our scheme is phenetic, based on a network of quantitatively defined organism relationships across the known prokaryotic space. It correlates significantly with the current taxonomy, but the observed discrepancies reveal both (1) the inconsistency of functional diversity levels among different taxa and (2) an (unsurprising) bias towards prioritizing, for classification purposes, relatively minor traits of particular interest to humans. Our dynamic network-based organism classification is independent of the arbitrary pairwise organism similarity cut-offs traditionally applied to establish taxonomic identity. Instead, it reveals natural, functionally defined organism groupings and is thus robust in handling organism diversity. Additionally, fusion can use organism meta-data to highlight the specific environmental factors that drive microbial diversification. Our approach provides a complementary view to cladistic assignments and holds important clues for further exploration of microbial lifestyles. Fusion is a more practical fit for biomedical, industrial, and ecological applications, as many of these rely on understanding the functional capabilities of the microbes in their environment and are less concerned with phylogenetic descent.

Taxonomic classification of microorganisms according to similarity is important for industrial and clinical applications where close relationships imply similar uses and/or treatments. Current microbial taxonomy is phylogeny-guided, i.e., the organisms are grouped based on their evolutionary relationships, defined by vertical inheritance of genetic information from mother to daughter cells. Microbes, however, are capable of horizontal gene transfer (HGT). Thus, the current taxonomic assignments cannot guarantee genome-encoded molecular functional similarity; i.e. two microbes of the same taxonomic group inhabiting different environments may be very different—just as your cousin may be more different from you than your unrelated best friend. Our work establishes a computational framework for comparison of microorganisms based on their molecular functionality. In our functional-repertoire similarity-based organism network (FuSiON; flattened to fusion) representation, organisms can be consistently assigned to groups based on a quantitative measure of their functional similarities. Our approach highlights the specific environmental factor(s) that explain the functional differences between groups of microorganism. Fusion is a more practical choice for biomedical, industrial, and ecological applications, as many of these rely on understanding the functional capabilities of the microbes in their environment.

Diversity of Dickeya Strains Collected from Pineapple Plants and Irrigation Water in Hawaii

Bacterial heart rot caused by a yet undetermined species of Dickeya was first observed in December 2003 in Oahu, HI, on a pineapple cultivar (Ananas comosus 'PRI 73-114') recently imported from Central America. Identical symptoms were later seen in the same plantation in fields that had been planted with propagules from the Philippines. Dickeya strains isolated from symptomatic plants and irrigation water collected over subsequent years were identified using bacteriological tests and partial 16S ribosomal DNA sequencing and characterized using repetitive sequence-based polymerase chain reaction (rep-PCR) with the BOXA1R primer (BOX-PCR), pathogenicity on pineapple leaves, and reactivity with two monoclonal antibodies (MAbs). Strains exhibited variability in pathogenicity and in reactivity with MAbs. BOX-PCR separated the plant-isolated Dickeya strains into seven haplotypes that were placed into four fingerprint groups (A to D). Strains from the A and B groups were isolated from the Central American stocks, whereas strains in the D group were identified from Philippine material. Strains from the C group were isolated from both planting materials. Most strains from water sources were placed into three haplotypes that loosely formed group E. BOX-PCR polymorphisms between the Dickeya strains isolated from foreign pineapple plants, a local collection of Dickeya strains, and strains from the plantation's water sources support the possibility that at least two separate introductions of genetically distinct strains occurred via imported planting stocks.

Identification of Dickeya zeae as a Causal Agent of Bacterial Soft Rot in Banana in China

Bacterial soft rot of banana was first noticed in 2009 in Guangzhou city, China. The disease also was observed on various banana cultivars of different genotypes in several other cities. Symptoms of the disease included leaf wilting, collapse of pseudostems, and unusual odor. Five isolated strains that fulfilled Koch's postulates were used for biochemical testing. The five strains were most similar to Dickeya dadantii or D. zeae, but were much less similar to D. paradisiaca when using several phenotype characteristics. Sequence analysis of 16S rDNA, dnaX, gryB, and recA of a reference strain revealed a similarity of 99% with the sequences of D. zeae, rather than D. paradisiaca. Phylogenic analysis of concatenated sequences of dnaX, gryB, and recA indicated that the banana strain constituted a distinguishable clade with several D. zeae strains involving rice pathogens D. zeae EC1 and ZJU1202 from Guangdong province, but the banana pathogen had several characteristics that distinguished it from the rice pathogens. Therefore, the banana pathogen was determined to be D. zeae. This is the first report of banana soft rot caused by D. zeae in China; however, the pathogen can infect other important crops.

Integrating genomics into the taxonomy and systematics of the Bacteria and Archaea

The polyphasic approach used today in the taxonomy and systematics of the Bacteria and Archaea includes the use of phenotypic, chemotaxonomic and genotypic data. The use of 16S rRNA gene sequence data has revolutionized our understanding of the microbial world and led to a rapid increase in the number of descriptions of novel taxa, especially at the species level. It has allowed in many cases for the demarcation of taxa into distinct species, but its limitations in a number of groups have resulted in the continued use of DNA-DNA hybridization. As technology has improved, next-generation sequencing (NGS) has provided a rapid and cost-effective approach to obtaining whole-genome sequences of microbial strains. Although some 12,000 bacterial or archaeal genome sequences are available for comparison, only 1725 of these are of actual type strains, limiting the use of genomic data in comparative taxonomic studies when there are nearly 11,000 type strains. Efforts to obtain complete genome sequences of all type strains are critical to the future of microbial systematics. The incorporation of genomics into the taxonomy and systematics of the Bacteria and Archaea coupled with computational advances will boost the credibility of taxonomy in the genomic era. This special issue of International Journal of Systematic and Evolutionary Microbiology contains both original research and review articles covering the use of genomic sequence data in microbial taxonomy and systematics. It includes contributions on specific taxa as well as outlines of approaches for incorporating genomics into new strain isolation to new taxon description workflows.

Conserved signature indels and signature proteins as novel tools for understanding microbial phylogeny and systematics: identification of molecular signatures that are specific for the phytopathogenic genera Dickeya, Pectobacterium and Brenneria

Genome sequences are enabling applications of different approaches to more clearly understand microbial phylogeny and systematics. Two of these approaches involve identification of conserved signature indels (CSIs) and conserved signature proteins (CSPs) that are specific for different lineages. These molecular markers provide novel and more definitive means for demarcation of prokaryotic taxa and for identification of species from these groups. Genome sequences are also enabling determination of phylogenetic relationships among species based upon sequences for multiple proteins. In this work, we have used all of these approaches for studying the phytopathogenic bacteria belonging to the genera Dickeya , Pectobacterium and Brenneria . Members of these genera, which cause numerous diseases in important food crops and ornamental plants, are presently distinguished mainly on the basis of their branching in phylogenetic trees. No biochemical or molecular characteristic is known that is uniquely shared by species from these genera. Hence, detailed studies using the above approaches were carried out on proteins from the genomes of these bacteria to identify molecular markers that are specific for them. In phylogenetic trees based upon concatenated sequences for 23 conserved proteins, members of the genera Dickeya , Pectobacterium and Brenneria formed a strongly supported clade within the other Enterobacteriales . Comparative analysis of protein sequences from the Dickeya , Pectobacterium and Brenneria genomes has identified 10 CSIs and five CSPs that are either uniquely or largely found in all genome-sequenced species from these genera, but not present in any other bacteria in the database. In addition, our analyses have identified 10 CSIs and 17 CSPs that are specifically present in either all or most sequenced Dickeya species/strains, and six CSIs and 19 CSPs that are uniquely found in the sequenced Pectobacterium genomes. Finally, our analysis also identified three CSIs and one CSP that are specifically shared by members of the genera Pectobacterium and Brenneria , but absent in species of the genus Dickeya , indicating that the former two genera shared a common ancestor exclusive of Dickeya . The identified CSIs and CSPs provide novel tools for identification of members of the genera Dickeya and Pectobacterium and for delimiting these taxa in molecular terms. Descriptions of the genera Dickeya and Pectobacterium have been revised to provide information for these molecular markers. Biochemical studies on these CSIs and CSPs, which are specific for these genera, may lead to discovery of novel properties that are unique to these bacteria and which could be targeted to develop antibacterial agents that are specific for these plant-pathogenic bacteria.