ABSTRACT
In Zherong county, Fujian province, the black spot of Pseudostellaria heterophylla often breaks out in the rainy season from April to June every year. As one of the main leaf diseases of P. heterophylla, black spot seriously affects the yield and quality of the medicinal material. To identify and characterize the pathogens causing black spot, we isolated the pathogens, identified them as a species of Alternaria according to Koch's postulates, and then tested their pathogenicity and biological characteristics. The results showed that the pathogens causing P. heterophylla black spot were A. gaisen, as evidenced by the similar colony morphology, spore characteristics, sporulation phenotype, and the same clade with A. gaisen on the phylogenetic tree(the maximum likelihood support rate of 100% and the Bayesian posterior probability of 1.00) built based on the tandem sequences of ITS, tef1, gapdh, endoPG, Alta1, OPA10-2, and KOG1077. The optimum conditions for mycelial growth of the pathogen were 25 ℃, pH 5-8, and 24 h dark culture. The lethal conditions for mycelia and spores were both treatment at 50 ℃ for 10 min. We reported for the first time the A. gaisen-caused black spot of P. heterophylla. The results could provide a theoretical basis for the diagnosis and control of P. heterophylla leaf spot diseases.
Subject(s)
Bayes Theorem , Phylogeny , Caryophyllaceae , Alternaria , MyceliumABSTRACT
The ability to recognize and repair abnormal DNA structures is common to all forms of life. Physiological studies and genomic sequencing of a variety of bacterial species have identified an incredible diversity of DNA repair pathways. Despite the amount of available genes in public database, the usual method to place genomes in a taxonomic context is based mainly on the 16S rRNA or housekeeping genes. Thus, the relationships among genomes remain poorly understood. In this work, an approach of multiple gene sequence analysis based on genes of DNA repair pathway was used to compare bacterial genomes. Housekeeping and DNA repair genes were searched in 872 completely sequenced bacterial genomes. Seven DNA repair and housekeeping genes from distinct metabolic pathways were selected, aligned, edited and concatenated head-to-tail to form a super-gene. Results showed that the multiple gene sequence analysis using DNA repair genes had better resolution at class level than the housekeeping genes. As housekeeping genes, the DNA repair genes were advantageous to separate bacterial groups at low taxonomic levels and also sensitive to genes derived from horizontal transfer.