Soil-borne plant pathogens significantly threaten crop production due to lack of effective control methods. One alternative to traditional agrochemicals is microbial biocontrol, where pathogen growth is suppressed by naturally occurring bacteria that produce antimicrobial chemicals. However, it is still unclear if pathogenic bacteria can evolve tolerance to biocontrol antimicrobials and if this could constrain the long-term efficacy of biocontrol strategies. Here we used an in vitro experimental evolution approach to investigate if the phytopathogenic Ralstonia solanacearum bacterium, which causes bacterial wilt disease, can evolve tolerance to antimicrobials produced by Pseudomonas bacteria. We further asked if tolerance was specific to pairs of R. solanacearum and Pseudomonas strains and certain antimicrobial compounds produced by Pseudomonas. We found that while all R. solanacearum strains could initially be inhibited by Pseudomonas strains, this inhibition decreased following successive subculturing with or without Pseudomonas supernatants. Using separate tolerance assays, we show that the majority of R. solanacearum strains evolved increased tolerance to multiple Pseudomonas strains. Mechanistically, evolved tolerance was most likely linked to reduced susceptibility to orfamide lipopeptide antimicrobials secreted by Pseudomonas strains in our experimental conditions. Some levels of tolerance also evolved in the control treatments, which was likely correlated response due to adaptations to the culture media. Together, these results suggest that plant-pathogenic bacteria can rapidly evolve increased tolerance to bacterial antimicrobial compounds, which could reduce the long-term efficacy of microbial biocontrol.

Ralstonia solanacearum species complex (RSSC) is a destructive group of plant pathogenic bacteria and the causative agent of bacterial wilt disease. Experimental studies have attributed RSSC virulence to insertion sequences (IS), transposable genetic elements which can both disrupt and activate host genes. Yet, the global diversity and distribution of RSSC IS are unknown. In this study, IS were bioinformatically identified in a diverse collection of 356 RSSC isolates representing five phylogenetic lineages and their diversity investigated based on genetic distance measures and comparisons with the ISFinder database. IS phylogenetic associations were determined based on their distribution across the RSSC phylogeny. Moreover, IS positions within genomes were characterised and their potential gene disruptions determined based on IS proximity to coding sequences. In total, we found 24732 IS belonging to eleven IS families and 26 IS subgroups with over half of the IS found in the megaplasmid. While IS families were generally widespread across the RSSC phylogeny, IS subgroups showed strong lineage-specific distributions and genetically similar bacterial isolates had similar IS contents. Similar associations with bacterial host genetic background were also observed with IS insertion positions which were highly conserved in closely related bacterial isolates. Finally, IS were found to disrupt genes with predicted functions in virulence, stress tolerance, and metabolism suggesting that they might be adaptive. This study highlights that RSSC insertion sequences track the evolution of their bacterial hosts potentially contributing to both intra-and inter-lineage genetic diversity.

There are significant gaps in our understanding of how to sustainably manage agricultural soils to preserve soil biodiversity. Here we evaluate and quantify the effects of agricultural management and location on soil microbiology using nine field trials that have consistently applied different soil management practices in the United Kingdom using DNA barcode sequence data. We tested the basic hypothesis that various agricultural management interventions have a significant and greater effect on soil bacterial and fungal diversity than geographic location. The analyses of soil microbial DNA sequence data to date has lacked standardisation which prevents meaningful comparisons across sites and studies. Therefore, to analyse these data and crucially compare and quantify the size of any effects on soil bacterial and fungal biodiversity between sites, we developed and employed a post-sequencing DNA-barcode biodiversity standard analysis method (DNA-BSAM). The DNA-BSAM comprises a series of standardised bioinformatic steps for processing sequences but more importantly defines a standardised set of ecological indices and statistical tests. Use of the DNA-BSAM reveals the hypothesis was not strongly supported, and this was primarily because: 1) there was a large variance in the effects of various management interventions at different sites, and 2) location had an equivalent or greater effect size than most management interventions for most metrics. Some dispersed sites imposed the same organic amendments interventions but showed different responses, and this combined with observations of strong differences in soil microbiomes by location tentatively suggests that any effect of management may be contingent on location. This means it could be unreliable to more widely extrapolate the findings from trials performed only at one location. The widespread use of a standard approach will allow meaningful cross-comparisons between soil microbiome studies and thus a substantial evidence-base of the effects of land-use on soil microbiology to accumulate and inform soil management decisions.

Background Ralstonia solanacearum species complex (RSSC) strains are destructive plant pathogenic bacteria and the causative agents of bacterial wilt disease, infecting over 200 plant species worldwide. In addition to chromosomal genes, their virulence is mediated by mobile genetic elements including integrated DNA of bacteriophages, i.e. , prophages, which may carry fitness-associated auxiliary genes or modulate host gene expression. Although experimental studies have characterised several prophages that shape RSSC virulence, the global diversity, distribution, and wider functional gene content of RSSC prophages are unknown. In this study, prophages were identified in a diverse collection of 192 RSSC draft genome assemblies originating from six continents. Results Prophages were identified bioinformatically and their diversity investigated using genetic distance measures, gene content, GC, and total length. Prophage distributions were characterised using metadata on RSSC strain geographic origin and lineage classification (phylotypes), and their functional gene content was assessed by identifying putative prophage-encoded auxiliary genes. In total, 313 intact prophages were identified, forming ten genetically distinct clusters. These included six prophage clusters with similarity to the Inoviridae , Myoviridae , and Siphoviridae phage families, and four uncharacterised clusters, possibly representing novel, previously undescribed phages. The prophages had broad geographical distributions, being present across multiple continents. However, they were generally host phylogenetic lineage-specific, and overall, prophage diversity was proportional to the genetic diversity of their hosts. The prophages contained many auxiliary genes involved in metabolism and virulence of both phage and bacteria. Conclusions Our results show that while RSSC prophages are highly diverse globally, they make lineage-specific contributions to the RSSC accessory genome, which could have resulted from shared coevolutionary history.

Although plant pathogens are traditionally controlled using synthetic agrochemicals, the availability of commercial bactericides is still limited. One potential control strategy could be the use of plant growth-promoting bacteria (PGPB) to suppress pathogens via resource competition or the production of antimicrobial compounds. This study aimed to conduct in vitro and in vivo screening of eight Pseudomonas strains against Ralstonia solanacearum (the causative agent of bacterial wilt) and to investigate underlying mechanisms of potential pathogen suppression. We found that inhibitory effects were Pseudomonas strain-specific, with strain CHA0 showing the highest pathogen suppression. Genomic screening identified 2,4-diacetylphloroglucinol, pyoluteorin, and orfamides A and B secondary metabolite clusters in the genomes of the most inhibitory strains, which were investigated further. Although all these compounds suppressed R. solanacearum growth, only orfamide A was produced in the growth media based on mass spectrometry. Moreover, orfamide variants extracted from Pseudomonas cultures showed high pathogen suppression. Using the "Micro-Tom" tomato cultivar, it was found that CHA0 could reduce bacterial wilt disease incidence with one of the two tested pathogen strains. Together, these findings suggest that a better understanding of Pseudomonas-Ralstonia interactions in the rhizosphere is required to successfully translate in vitro findings into agricultural applications.

Ralstonia solanacearumis aplant pathogenic gram-negative bacterium capable of infecting several economically important crops such as potato and tomato. It can also persist in environmental reservoirs including soils, rivers and in asymptomatic wild hosts, causing disease outbreaks during pathogen spillover events when crossing agroecological interface. In the UK, R. solanacearum outbreaks originate from Solanum dulcamarawild hosts (woody nightshade) and river networks. To what extent selection in these natural environments drive R. solanacearumsurvival and life history evolution including virulence is unknown. To study this, we focused on a largely clonal R. solanacearum lineage inhabiting river networks across the UK consisting of a collection of 182 isolates spanning 30 years since the first outbreak in 1992. We first characterised strains phenotypically regarding 32 traits including resource catabolism, virulence and abiotic stress tolerance and then used microbial GWAS techniques to identify links between phenotypic traits and the presence of specific accessory genes. We found that isolates can be clustered into three phenotypic groups, which differed clearly regarding their resource specialism and stress tolerance. No effect of isolation location was found. However, isolates became more variable phenotypically along with time. While only few SNPs were found to vary among all isolates, the presence and absence of certain accessory genes, such asS-layer family protein,could be associated with phenotypic variation in terms ofsurvival in stressful environments. Together, our findings suggest that a low number of accessory genes can cause high phenotypic variability within highly clonal bacterial lineage.

We present results demonstrating species-specificity and sub-species resolution by novel, automatically-designed metabarcoding primers for environmental DNA analysis. Conventional metabarcoding remains a cornerstone of rapid, high-throughput environmental DNA (eDNA) community analysis and biodiversity assessment. Standard barcodes such as 16S (prokaryotes) and ITS1 (fungi/oomycetes) have been instrumental in identifying the complex composition of communities using total eDNA. However, standard barcodes have limitations in terms of resolution and quantitation and, though genus-level identification can be reliable, species-level identification is often not possible. To overcome the limitations of resolution, we implemented extensions to the diagnostic primer design tool pdp (https://github.com/widdowquinn/find_differential_primers [https://github.com/widdowquinn/find_differential_primers]) that enable automated design of metabarcoding markers and corresponding primers that are (i) specific to a prescribed taxon at species level and (ii) capable of discriminating between members of the same species. This allows for rapid, high-throughput measurement of diversity below species level for a target organism. We aimed to survey geographical distribution and pathogen transfer of the widespread plant pathogenic bacterium Pectobacterium atrosepticum (Pba). This organism has considerable sub-species taxonomic structure identifiable using MLST and with whole-genome methods, but which is not accessible using standard barcodes. We designed metabarcoding primers (202bp) specific to Pba using `pdp`, and established that these have resolution comparable to eight-gene MLST, revealing sub species-level diversity within single fields, and on the same individual plant host.

Bacterial blotch is a group of economically important diseases of the common button mushroom (Agaricus bisporus). Once the pathogens are introduced to a farm, mesophilic growing conditions (that are optimum for mushroom production) result in severe and widespread secondary infections. Efficient, timely and quantitative detection of the pathogens is hence critical for the design of localized control strategies and prediction of disease risk. This study describes the development of real-time TaqManTM assays that allow molecular diagnosis of three currently prevalent bacterial blotch pathogens: "Pseudomonas gingeri," Pseudomonas tolaasii and (as yet uncharacterized) Pseudomonas strains (belonging to Pseudomonas salomonii and Pseudomonas edaphica). For each pathogen, assays targeting specific DNA markers on two different loci, were developed for primary detection and secondary verification. All six developed assays showed high diagnostic specificity and sensitivity when tested against a panel of 63 Pseudomonas strains and 40 other plant pathogenic bacteria. The assays demonstrated good analytical performance indicated by linearity across calibration curve (>0.95), amplification efficiency (>90%) and magnitude of amplification signal (>2.1). The limits of detection were optimized for efficient quantification in bacterial cultures, symptomatic tissue, infected casing soil and water samples from mushroom farms. Each target assay was multiplexed with two additional assays. Xanthomonas campestris was detected as an extraction control, to account for loss of DNA during sample processing. And the total Pseudomonas population was detected, to quantify the proportion of pathogenic to beneficial Pseudomonas in the soil. This ratio is speculated to be an indicator for blotch outbreaks. The multiplexed assays were successfully validated and applied by routine testing of diseased mushrooms, peat sources, casing soils, and water from commercial production units.

Bacterial diseases are one of the most important biotic constraints of potato production, especially in tropical and subtropical regions, and in some warm temperate regions of the world. About seven bacterial diseases affect potato worldwide and cause severe damages especially on tubers, the economically most important part of the plant. Bacterial wilt and back leg are considered the most important diseases, whereas potato ring rot, pink eye, and common scab are the minor. Knowledge about zebra chip is extremely rare, as it occurs in a very isolated area and is an emerging disease in New Zealand, Europe, the USA and Mexico. Potato crop losses due to bacterial diseases could be direct and indirect; and they have several dimensions, some with short-term consequences such as yield loss and unmarketability of the produce and others with long-term consequences such as economic, environmental, and social. Some of them are of national and international importance and are the major constraints to clean seed potato production, with considerable indirect effects on trade. This review focuses on Clavibacter spp., Ralstonia spp., Pectobacterium spp., Dickeya spp., Streptomyces spp., and Liberibacter spp. pathogenic to potato, and looks at the respective pathogen in terms of their taxonomy and nomenclature, host range, geographical distribution, symptoms, epidemiology, pathogenicity and resistance, significance and economic losses, and management strategies. Nevertheless, the information collected here deal more with diseases known in developed and developing countries which cause severe economic losses on potato value chain.

BACKGROUND:Bacterial blotch is a group of economically important diseases affecting the cultivation of common button mushroom, Agaricus bisporus. Despite being studied for more than a century, the identity and nomenclature of blotch-causing Pseudomonas species is still unclear. This study aims to molecularly characterize the phylogenetic and phenotypic diversity of blotch pathogens in Western Europe. METHODS:In this study, blotched mushrooms were sampled from farms across the Netherlands, United Kingdom and Belgium. Bacteria were isolated from symptomatic cap tissue and tested in pathogenicity assays on fresh caps and in pots. Whole genome sequences of pathogenic and non-pathogenic isolates were used to establish phylogeny via multi-locus sequence alignment (MLSA), average nucleotide identity (ANI) and in-silico DNA:DNA hybridization (DDH) analyses. RESULTS:The known pathogens "Pseudomonas gingeri", P. tolaasii, "P. reactans" and P. costantinii were recovered from blotched mushroom caps. Seven novel pathogens were also identified, namely, P. yamanorum, P. edaphica, P. salomonii and strains that clustered with Pseudomonas sp. NC02 in one genomic species, and three non-pseudomonads, i.e. Serratia liquefaciens, S. proteamaculans and a Pantoea sp. Insights on the pathogenicity and symptom severity of these blotch pathogens were also generated. CONCLUSION:A detailed overview of genetic and regional diversity and the virulence of blotch pathogens in Western Europe, was obtained via the phylogenetic and phenotypic analyses. This information has implications in the study of symptomatic disease expression, development of diagnostic tools and design of localized strategies for disease management.

Bacterial wilt (BW) caused by the Ralstonia solanacearum species complex (RSSC) is a serious threat to potato production in Uganda. However, little is known about the extent of the disease and the type of the pathogen strains involved. A nationwide survey was conducted to study BW prevalence and incidence in potato, and potato tuber and stem samples of potential alternative hosts were collected for pathogen isolation. DNA was extracted from pure cultures for genetic diversity studies. The pathogen was phylotyped by multiplex PCR; then, a subset of isolates was typed at sequevar level. Isolates of the same sequevar were then haplotyped using multilocus tandem repeat sequence typing (TRST) schemes. BW prevalence and incidence in potato farms were 81.4 and 1.7%, respectively. Three RSSC phylotypes were identified, with the majority of the strains belonging to Phylotype II (80%) followed by Phylotype I (18.5%) and III (1.5%). Phylotype I strains belonged to Sequevar 31, and Phylotype II strains belonged to Sequevar 1. Potato-associated Phylotype II Sequevar 1 strains were more diverse (27 TRST haplotypes) than nonpotato Phylotype I (5 TRST haplotypes). Mapping of TRST haplotypes revealed that three TRST haplotypes of Phylotype II Sequevar 1 strains play an important epidemiological role in BW of potato in Uganda being disseminated via latently infected seed. [Formula: see text] Copyright © 2019 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .

Outbreaks of acute oak decline (AOD) have been documented in England from 2006. Both species of native oaks (Quercus robur and Quercus petraea) are affected. To complement isolation efforts for identification of putative causative biotic agents and increase our understanding of bacteria associated with oak tissue, five sites in England were chosen for this study. Samples of outer bark, inner bark, sapwood and heartwood were taken from healthy oak and trees with symptoms at varying stages of the syndrome. Furthermore, larval galleries attributed to infestation with Agrilus biguttatus were included. After DNA extraction and amplification of the V3–V5 fragment of the bacterial 16S rRNA genes by pyrosequencing, the dataset was analyzed to identify patterns in bacterial communities in oak tissue samples with and without AOD symptoms at each site. The composition of bacterial communities differed greatly according to the site from which the samples were obtained. Within each site, the composition of the bacteria associated with symptomatic tissue varied between advanced stages of the syndrome and healthy tissue. Key players in healthy and symptomatic tissue were identified and included members of the Gammaproteobacteria related to Pseudomonas sp. or Brenneria goodwinii and members of the Firmicutes.

Whole genome comparisons provide a quantitative, objective basis for taxonomic classification of bacterial pathogens important to food security.

Blackleg and soft rot of potato, caused by Pectobacterium and Dickeya spp., are major production constraints in many potato-growing regions of the world. Despite advances in our understanding of the causative organisms, disease epidemiology, and control, blackleg remains the principal cause of down-grading and rejection of potato seed in classification schemes across Northern Europe and many other parts of the world. Although symptom recognition is relatively straightforward and is applied universally in seed classification schemes, attributing disease to a specific organism is problematic and can only be achieved through the use of diagnostics. Similarly as disease spread is largely through the movement of asymptomatically infected seed tubers and, possibly in the case of Dickeya spp., irrigation waters, accurate and sensitive diagnostics are a prerequisite for detection. This chapter describes the diagnostic pathway that can be applied to identify the principal potato pathogens within the genera Pectobacterium and Dickeya.

Two high-resolution strain discrimination methods based on variable number tandem repeat (VNTR) analysis were devised for the plant soft-rotting pathogens Dickeya dianthicola and Dickeya solani and used to investigate their diversity and epidemiology. Analysis of D. dianthicola identified 19 VNTR profiles (P1-P19). Diversity was observed in the earliest strains analysed (from 1957), which included four profiles from European strains isolated from Dianthus caryophyllus (P4, P7, P8 and P11) and one from Chrysanthemum morifolium (also P7) originating from the USA. Eleven D. dianthicola VNTR profiles were identified from potato dating from 1984. The time period between which specific D. dianthicola VNTR profiles were first isolated from ornamental hosts and then from potato, was between 8 and 16 years respectively. Identification of two profiles (P2 and P8) that occurred in both ornamental hosts and potato supported cross-infection between these hosts. Limited variation in VNTR profile was identified from strains of D. solani , from which only three VNTR profiles were discriminated by variation at only one of five loci, which may reflect the short time period and/or limited number of D. solani introductions since the pathogen’s first emergence in Europe. Shared profiles between D. solani isolates from hyacinth and potato strains, is consistent with cross infection between hosts grown for horticultural production and potato.

Pectinolytic Gram-negative bacteria were isolated from different waterways in the UK and Finland. Three strains (174/2(T), 181/2 and Dw054) had the same 16S rRNA gene sequences which shared 99% sequence similarity to species of the genus Dickeya, and a phylogeny of related genera confirmed attribution to this genus. Fatty acid profile analysis of all three strains found a high proportion of C16 : 1ω7c/C16 : 1ω7c and C16 : 0 fatty acids, and library profile searches found closest matches to Dickeya chrysanthemi. Production of a concatenated phylogeny using six loci, recA, gapA, atpD, gyrB, infB and rpoB, provided a high-resolution phylogeny which placed strains 174/2(T) and 181/2 as a distinct clade, separated from the other species of the genus Dickeya by a relatively long branch-length. DNA-DNA hybridization analysis with a limited number of reference species also supported the distinctiveness of strains 174/2(T) and 181/2 within the genus Dickeya. All three strains could be phenotypically distinguished from other species of the genus by fermentation of melibiose and raffinose but not D-arabinose or mannitol. The name Dickeya aquatica sp. nov. is proposed for the new taxon; the type strain is 174/2(T) ( = NCPPB 4580(T) = LMG 27354(T)).

ABSTRACT Variable-number tandem-repeat (VNTR) analysis was used for high-resolution discrimination among Ralstonia solanacearum phylotype IIB sequevar 1 (PIIB-1) isolates and further evaluated for use in source tracing. Five tandem-repeat-containing loci (comprising six tandem repeats) discriminated 17 different VNTR profiles among 75 isolates from potato, geranium, bittersweet (Solanum dulcamara), tomato, and the environment. R. solanacearum isolates from crops at three unrelated outbreak sites where river water had been used for irrigation had distinct VNTR profiles that were shared with PIIB-1 isolates from infected bittersweet growing upriver of each site. The VNTR profiling results supported the implication that the source of R. solanacearum at each outbreak was contaminated river water. Analysis of 51 isolates from bittersweet growing in river water at different locations provided a means to evaluate the technique for studying the epidemiology of the pathogen in the environment. Ten different VNTR profiles were identified among bittersweet PIIB-1 isolates from the River Thames. Repeated findings of contiguous river stretches that produced isolates that shared single VNTR profiles supported the hypothesis that the pathogen had disseminated from infected bittersweet plants located upriver. VNTR profiles shared between bittersweet isolates from two widely separated Thames tributaries (River Ray and River Colne) suggested they were independently contaminated with the same clonal type. Some bittersweet isolates had VNTR profiles that were shared with potato isolates collected outside the United Kingdom. It was concluded that VNTR profiling could contribute to further understanding of R. solanacearum epidemiology and assist in control of future disease outbreaks.