Transcriptome sequencing leads to an improved understanding of the infection mechanism of Alternaria solani in potato.

BACKGROUND: Alternaria solani (A. solani), the main pathogen of potato early blight, causes serious yield reductions every year. The application of fungicides is the most common and effective method of controlling Alternaria-caused diseases. The differentially expressed transcripts of A. solani infecting potato were identified, revealing a group of valuable candidate genes for a systematic analysis to increase the understanding of the molecular pathogenesis of A. solani, and providing scientific data for formulating additional measures to prevent and control potato early blight. In this study, a deep RNA-sequencing approach was applied to gain insights into A. solani pathogenesis. At 3, 4, and 5 days post inoculation (dpi), RNA samples from the susceptible potato cultivar Favorita infected with A. solani strain HWC-168, were sequenced and utilized for transcriptome analysis, and compared to the transcriptome obtained 0 dpi. RESULTS: A total of 4430 (2167 upregulated, 2263 downregulated), 4736 (2312 upregulated, 2424 downregulated), and 5043 (2411 upregulated, 2632 downregulated) genes were differentially expressed 3, 4 and 5 dpi, respectively, compared with genes analysed at 0 dpi. KEGG enrichment analysis showed that genes involved in the pathways of amino acid metabolism, glucose metabolism, and enzyme activity were significantly differentially expressed at the late infection stage. Correspondingly, symptoms developed rapidly during the late stage of A. solani infection. In addition, a short time-series expression miner (STEM) assay was performed to analyse the gene expression patterns of A. solani and Profile 17 and 19 showed significant change trends 3, 4 and 5 dpi. Both profiles, but especially Profile 17, included enzymes, including transferases, oxidoreductases, hydrolases and carbohydrate-active enzymes (CAZYmes), which may play important roles in late fungal infection. Furthermore, possible candidate effectors were identified through the adopted pipelines, with 137 differentially expressed small secreted proteins identified, including some enzymes and proteins with unknown functions. CONCLUSIONS: Collectively, the data presented in this study show that amino acid metabolism, and glucose metabolism pathways, and specific pathway-related enzymes may be key putative pathogenic factors, and play important roles in late stage A. solani infection. These results contribute to a broader base of knowledge of A. solani pathogenesis in potato, as indicated by the transcriptional level analysis, and provide clues for determining the effectors of A. solani infection.

Parasexual reproduction in Alternaria solani: Simple sequence repeat molecular evidence for haploidization.

Multiple alleles were constantly detected in Alternaria solani isolates by simple sequence repeat (SSR) analysis, and sectors were also observed in their subcultures. These preliminary results and observations point to a possible parasexual cycle in A. solani. In this study, codominant SSR markers were used as molecular markers on the chromosomes of A. solani and single-conidium subculture was used to simulate the mitosis process of A. solani in nature. The number of alleles at locus As-95236 changed from 2 to 1 as a molecular marker for haploidy of parasexuality of A. solani. Fifty monosporic F1 strains were tested. The results showed that two parent strains lost allele with a haploid probability of 38%. For F2 strains, the results showed that all four F1 strains lost allele with a haploid probability of 75%. Since sexual recombination of A. solani has not been found so far, the allele lost in the subcultures of A. solani isolates provides molecular evidence for the existence of parasexual reproduction in A. solani.

Dissecting the effect of continuous cropping of potato on soil bacterial communities as revealed by high-throughput sequencing.

Plant rhizosphere-associated bacterial communities play key roles in affecting host health in response to diverse biotic stresses. Currently, the effect of continuous cropping of potato on soil bacterial communities and physiochemical parameters has not been well documented. Herein, we compared bacterial composition and diversity in rotationally and continuously (5, 10, and 30 years) cropped soils, and clarified the correlations between soil properties and the bacterial communities revealed by Illumina MiSeq sequencing. Our results demonstrated that Proteobacteria, Actinobacteria and Firmicutes were the predominant phyla in all the tested soil samples. While the abundance of Proteobacteria showed an increase, the abundance of Actinobacteria and Firmicutes displayed a reduction with the increase of continuous cropping years. At the genus level, as continuous cropping years increasing, the abundance of Pseudarthrobacter, Bacillus and Pseudomonas decreased, but the abundance of Rhodanobacte, Sphingobium, Mizugakiibacter and Devosia increased. Our results also demonstrated that the abundance of plant growth-promoting rhizobacteria in the rotationally cropped soil was significantly higher than that of continuously cropped soil. Furthermore, our results showed that soil organic matter, available nitrogen, available phosphorus and available potassium were significantly correlated with bacterial community distribution. Overall, our work provides a comprehensive view of altered structure and composition of bacterial communities between the continuously cropped soil and rotationally cropped soil.

Genome sequence of the potato pathogenic fungus Alternaria solani HWC-168 reveals clues for its conidiation and virulence.

BACKGROUND: Alternaria solani is a known air-born deuteromycete fungus with a polycyclic life cycle and is the causal agent of early blight that causes significant yield losses of potato worldwide. However, the molecular mechanisms underlying the conidiation and pathogenicity remain largely unknown. RESULTS: We produced a high-quality genome assembly of A. solani HWC-168 that was isolated from a major potato-producing region of Northern China, which facilitated a comprehensive gene annotation, the accurate prediction of genes encoding secreted proteins and identification of conidiation-related genes. The assembled genome of A. solani HWC-168 has a genome size 32.8 Mb and encodes 10,358 predicted genes that are highly similar with related Alternaria species including Alternaria arborescens and Alternaria brassicicola. We identified conidiation-related genes in the genome of A. solani HWC-168 by searching for sporulation-related homologues identified from Aspergillus nidulans. A total of 975 secreted protein-encoding genes, which might act as virulence factors, were identified in the genome of A. solani HWC-168. The predicted secretome of A. solani HWC-168 possesses 261 carbohydrate-active enzymes (CAZy), 119 proteins containing RxLx[EDQ] motif and 27 secreted proteins unique to A. solani. CONCLUSIONS: Our findings will facilitate the identification of conidiation- and virulence-related genes in the genome of A. solani. This will permit new insights into understanding the molecular mechanisms underlying the A. solani-potato pathosystem and will add value to the global fungal genome database.

Development of a Semi-nested PCR-Based Method for Specific and Rapid Detection of Alternaria solani Causing Potato Early Blight in Soil.

Early blight, caused by Alternaria solani, is one of the most devastating diseases of potato that causes severe yield loss worldwide. The infected potato debris existed in the soil serve as the initial infection sources for the next growing potato. Current identification of A. solani in soil relies primarily on cultural and morphological characteristics, which are time-consuming and inaccurate. In this study, a semi-nested PCR method was developed using primers based on internal transcribed spacer region that is specific to A. solani. 20 isolates including 6 Alternaria species and 10 other species of common potato pathogens were used to examine the specificity of the primers. The primer set ptAsQ-F/ptAs-R was highly specific to A. solani, as a product of 251 bp was amplified only from A. solani isolates and no amplification signal was observed from other tested species. The sensitivity of this method determined using A. solani genomic DNA was 10 fg. This PCR assay was also successfully employed to detect A. solani in soil with the detection sensitivity of one conidia spore in 0.5 g of soil. To the best of our knowledge, this is the first report of molecular detection of A. solani in soil, which provides a useful tool for early and rapid detection of early blight in soil before next growing season.

Mitochondrial DNA polymorphisms in Phytophthora infestans: new haplotypes are identified and re-defined by PCR.

Polymorphisms of mitochondrial DNA (mt-DNA) are particularly useful for monitoring specific pathogen populations like Phytophthora infestans. Basically type I and II of P. infestans mt-DNA were categorized by means of polymorphism lengths caused by an ~2 kb insertion, which can be detected via restriction enzyme digestion. In addition genome sequencing of haplotype Ib has been used as a simple Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) method to indirectly identify type I and II alterations through EcoR I restriction enzyme DNA fragment patterns of the genomic P4 area. However, with the common method, wrong mt-DNA typing occurs due to an EcoR I recognition site mutation in the P4 genomic area. Genome sequencing of the four haplotypes (Ia, Ib, IIa, and IIb) allowed us to thoroughly examine mt-DNA polymorphisms and we indentified two hypervariable regions (HVRs) named HVRi and HVRii. The HVRi length polymorphism caused by a 2 kb insertion/deletion was utilized to identify mt-DNA types I and II, while another length polymorphism in the HVRii region is caused by a variable number of tandem repeats (n = 1, 2, or 3) of a 36 bp sized DNA stretch and was further used to determine mt-DNA sub-types, which were described as R(n = 1, 2, or 3). Finally, the P. infestans mt-DNA haplotypes were re-defined as IR(1) or IIR(2) according to PCR derived HVRi and HVRii length polymorphisms. Twenty-three isolates were chosen to verify the feasibility of our new approach for identifying mt-DNA haplotypes and a total of five haplotypes (IR(1), IR(2), IR(3), IIR(2) and IIR(3)) were identified. Additionally, we found that six isolates determined as type I by our method were mistakenly identified as type II by the PCR-RFLP technique. In conclusion, we propose a simple and rapid PCR method for identification of mt-DNA haplotypes based on sequence analyses of the mitochondrial P. infestans genome.