Pseudomonas syringae is the most frequently emerging group of plant pathogenic bacteria. Because this bacterium is ubiquitous as an epiphyte and on various substrates in non-agricultural settings, there are many questions about how to assess the risk for plant disease posed by strains in the environment. Although P. syringae is considered to have discrete host ranges in defined pathovars, there have been few reports of comprehensive comparisons of host range potential. Here we present results of host range tests for 134 strains, representing eight phylogroups, from epidemics and environmental reservoirs on 15 to 22 plant species per test conducted in four separate tests to determine the patterns and extent of host range. We sought to identify trends that are indicative of distinct pathotypes and to assess if strains in the P. syringae complex are indeed restricted in their host range. We show that for each test, strains display a diversity of host ranges from very restricted to very broad regardless of the gamut of phylogroups used in the test. Overall, strains form an overlapping continuum of host range potential with equal representation of narrow, moderate and broad host ranges. Groups of distinct pathotypes, including strains with currently the same pathovar name, could not be identified. The absence of groupings was validated with statistical tests for pattern recognition. The extent of host range was positively correlated with the capacity of strains to swarm on semi-solid agar medium and with the abundance of genes in biosynthetic clusters and was inversely correlated with the abundance of genes for proteins with transmembrane domains in their genomes. Our results are consistent with the current paradigm that disease symptoms are the result of multiple molecular interactions between P. syringae and its plant host that are modulated by abiotic and biotic conditions. This leads us to propose that pathovar denominations do not correspond to the underlying biology of P. syringae. A new concept of pathogenicity that accounts for the continuum of pathogenic potential in P. syringae would open new perspectives to understand the evolution of pathogenicity in this bacterium and new insights to anticipate disease and to manage plant health.
Palindromic sequences are important DNA motifs involved in the regulation of different cellular processes, but are also a potential source of genetic instability. In order to initiate a systematic study of palindromes at the whole genome level, we developed a computer program that can identify, locate and count palindromes in a given sequence in a strictly defined way. All palindromes, defined as identical inverted repeats without spacer DNA, can be analyzed and sorted according to their size, frequency, GC content or alphabetically. This program was then used to prepare a catalog of all palindromes present in the chromosomal DNA of the yeast Saccharomyces cerevisiae. For each palindrome size, the observed palindrome counts were significantly different from those in the randomly generated equivalents of the yeast genome. However, while the short palindromes (2-12 bp) were under-represented, the palindromes longer than 12 bp were over-represented, AT-rich and preferentially located in the intergenic regions. The 44-bp palindrome found between the genes CDC53 and LYS21 on chromosome IV was the longest palindrome identified and contained only two C-G base pairs. Avoidance of coding regions was also observed for palindromes of 4-12 bp, but was less pronounced. Dinucleotide analysis indicated a strong bias against palindromic dinucleotides that could explain the observed short palindrome avoidance. We discuss some possible mechanisms that may influence the evolutionary dynamics of palindromic sequences in the yeast genome.
The present study provides insight into the diversity of 147 Xanthomonas campestris pv. campestris (Xcc) isolates obtained from six Brassica oleracea vegetable crops (broccoli, cabbage, cauliflower, collard greens, kale, kohlrabi) and the winter oilseed rape crop Brassica napus, collected from different regions in Serbia in 2014. The XCF/XCR pathovar‐specific primer set was used for fast preliminary identification. In repetitive sequence‐based PCR (BOX, ERIC and REP) of all isolates, a higher level of genetic diversity was found in winter oilseed rape isolates compared to isolates from the other hosts. ERIC and REP‐PCR showed the highest heterogeneity, with 10 and nine banding patterns, respectively. The REP‐PCR results showed the highest correlation (70%) with those obtained with multilocus sequence analysis (MLSA), performed with 10 housekeeping genes (fusA, gap‐1, gltA, gyrB1, lacF, lepA, rpoD, dnaK, fyuA and gyrB2). Three distinct phylogenetic groups of winter oilseed rape isolates were detected using MLSA. Two genes, gltA and rpoD, showed the greatest ability to identify and discriminate winter oilseed rape Xcc isolates from isolates of the other six hosts. The lepA gene exhibited specific three‐nucleotide changes in sequences of some of the isolates. Results of virulence testing of 18 representative isolates showed statistically significant host–pathogen specialization for Xcc isolates from winter oilseed rape, cauliflower, kale and kohlrabi. In conclusion, oilseed rape isolates are more genetically diverse and show greater specialization to their host in comparison to the rest of the tested isolates from other brassica hosts.
Pseudomonas syringae pv. aptata is the causal agent of bacterial leaf spot disease of sugar beet (Beta vulgaris). During 2013, 250 samples were collected from leaf lesions with typical symptoms of bacterial leaf spot in commercial fields of sugar beet in Serbia, and 104 isolates of P. syringae pv. aptata were obtained. Identification and characterization was performed using biochemical, molecular and pathogenicity tests. Identification included LOPAT tests and positive reactions using primers Papt2F and Papt1R specific for P. syringae pv. aptata. Repetitive (rep) sequence‐based PCR typing with ERIC, REP and BOX primers revealed high genetic variability among isolates and distinguished 25 groups of different fingerprinting profiles. Pulse‐field gel electrophoresis (PFGE) and multilocus sequence analysis (MLSA) of representative isolates showed higher genetic variability than in rep‐PCR analysis and distinguished three and four major genetic clusters, respectively. A pathogenicity test performed with 25 representative isolates on four cultivars of sugar beet confirmed the occurrence of leaf spot disease and showed correlation between the most aggressive isolates and the genetic clusters obtained in MLSA. All these findings point to the existence of several lines of P. syringae pv. aptata infection in Serbia that are genetically and pathologically different.
The findings of biocontrol of sugar beet emerging pathogen will contribute to growers in terms of alternative disease control management. This study represents first assessment of biological control of P. syringae pv. aptata.
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