Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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The pangenome analysis of the soil-borne fungal phytopathogen Rhizoctonia solani and development of a comprehensive web resource: RsolaniDB

ABSTRACT: Rhizoctonia solani Kühn is a soilborne basidiomycetous fungus that causes significant damage to many economically important crops. R. solani isolates are classified into 13 Anastomosis Groups (AGs) with interspecific subgroups having distinctive morphology, pathogenicity and wide host range. However, the genetic factors that drive the unique fungal pathology are still not well characterized due to the limited number of available annotated genomes. Therefore, we performed genome sequencing, assembly, annotation and functional analysis of 13 R. solani isolates covering 7 AGs and selected subgroups (AG1-IA, AG1-IB, AG1-IC, AG2-2IIIB, AG3-PT, AG3-TB, AG4-HG-I, AG5, AG6, and AG8). Here, we report a pangenome comparative analysis of 13 R. solani isolates covering important groups to elucidate unique and common attributes associated with each isolate, including molecular factors potentially involved in determining AG-specific host preference. Finally, we present the largest repertoire of annotated R. solani genomes, compiled as a comprehensive and user-friendly database, viz. RsolaniDB. Since 7 genomes are reported for the first time, the database stands as a valuable platform for formulating new hypotheses by hosting annotated genomes, with tools for functional enrichment, orthologs and sequence analysis, currently not available with other accessible state-of-the-art platforms hosting Rhizoctonia genome sequences.

INSTRUMENT(S): Illumina HiSeq 2000

ORGANISM(S): Rhizoctonia solani

SUBMITTER: Abhinav Kaushik

PROVIDER: E-MTAB-9588 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Filamentous fungi including mushrooms frequently and spontaneously degenerate during subsequent culture maintenance on artificial media, which shows the loss or reduction abilities of asexual sporulation, sexuality, fruiting and production of secondary metabolites, thus leading to economic losses during mass production. To better understand the underlying mechanisms of fungal degeneration, the model fungus Aspergillus nidulans was employed in this study for comprehensive analyses. First, linkage of oxidative stress to culture degeneration was evident in A. nidulans. Taken together with the verifications of cell biology and biochemical data, a comparative mitochondrial proteome analysis revealed that, unlike the healthy wild type, a spontaneous fluffy sector culture of A. nidulans demonstrated the characteristics of mitochondrial dysfunctions. Relative to the wild type, the features of cytochrome c release, calcium overload and up-regulation of apoptosis inducing factors evident in sector mitochondria suggested a linkage of fungal degeneration to cell apoptosis. However, the sector culture could still be maintained for generations without the signs of growth arrest. Up-regulation of the heat shock protein chaperones, anti-apoptotic factors and DNA repair proteins in the sector could account for the compromise in cell death. The results of this study not only shed new lights on the mechanisms of spontaneous degeneration of fungal cultures but will also provide alternative biomarkers to monitor fungal culture degeneration. Label-free quantitative proteomic analysis of the WT and Sec mt proteins was performed as described previously. Briefly, purified mitochondrial proteins (100 ug) were diluted in the lysis buffer to a concentration of 5 g/ul and carboxyamidomethylated in 50 mM iodoacetamide for 40 min at room temperature in the dark. The proteins were digested with an endoprotease Lys-C (Roche Applied Science, Indianapolis, IN) at a final substrate/enzyme ratio of 100:1 (w/w) at 37 C for 3 h. The Lys-C digests were further treated with modified sequencing grade trypsin (Roche Applied Science, Indianapolis, IN) at a final substrate/enzyme ratio of 50:1 (w/w) at 37 C for 20 h. After digestion, the peptide mixture was passed through an ultra-filter unit (Millipore, Billerica, MA) with a molecular weight cut-off of 10 kDa and acidified by formic acid (0.1% final concentration) for mass spectrum analysis. A linear ion trap-orbitrap liquid chromatography-tandem mass spectrometry system (LTQ-Orbitrap, Thermo Fisher Scientific, San Josse, CA) equipped with a nanospray ion source was used for full MS scan analysis followed by five MS/MS scans in the LTQ on the five most intense ions from the MS spectrum. Three parallel runs were performed consecutively for each sample. The software DeCyder MS (ver 2.0) (GE Healthcare, Pittsburgh, PA) was used to generate the peak lists from all the runs and the data were then automatically searched using the SEQUEST (ver. 2.7) (Thermo Fisher Scientific, San Josse, CA) against the A. nidulans genome archive (ver. S03-M05-R01, containing 10,644 protein entries) at AspGD database (www.aspgd.org) with the following parameters: peptide mass tolerance set to 10 ppm; fragment tolerance set to 0.8 Da, and two missed trypsin cleavages. Carbamidomethylation of cysteine was searched as a fixed modification, whereas N-acetyl protein and oxidation of methionine were searched as variable modifications. For protein identification, all peptide matches were filtered by a maximum false discovery rate (FDR) index less than 0.01, delta Cn larger than 0.1 and Xcorr scores of greater than 1.7, 2.0 and 3.0 for +1, +2, and +3 charged ions, respectively. The peptides were discarded for further analysis if mapped to more than two different proteins. A protein was considered identifiable with at least one unique peptide detected for more than twice in the three replicates of each sample. The MS data have been deposited in the PRIDE proteomics identification database under accession numbers ? List of the identified peptides and matched proteins is provided in Supplemental Table 1. Quantification of proteins was performed by estimating the normalized spectral index (SIN) for each protein, which combines the features of peptide count, spectral count, fragment-ion intensity and protein length as described by Griffin et al.. Reliability of technical repeats was analyzed by calculating the multivariate Pearson correlation coefficients using the software SigmaPlot (ver. 8.0). FDR estimation of differentially expressed proteins was conducted using a mixture model-based method. Heat mapping analysis was conducted using the program Matlab (R2009a). The significance of differentially expressed proteins between the samples was tested with the cutoff values of P less than or equal to 0.05 and FDR less than or equal to 0.05.

Project description:Background: Saprobic fungi are the predominant industrial sources of Carbohydrate Active enZymes (CAZymes) used for the saccharification of lignocellulose during the production of second generation biofuels. The production of more effective enzyme cocktails is a key objective for efficient biofuel production. To achieve this objective, it is crucial to understand the response of fungi to lignocellulose substrates. Our previous study used RNA-seq to identify the genes induced in Aspergillus niger in response to wheat straw, a biofuel feedstock, and showed that the range of genes induced was greater than previously seen with simple inducers [GSE33852]. Results: In this work we used RNA-seq to identify the genes induced in A. niger in response to short rotation coppice willow and compared this with the response to wheat straw from our previous study, at the same time-point. The response to willow showed a large increase in expression of genes encoding CAZymes. Genes encoding the major activities required to saccharify lignocellulose were induced on willow such as endoglucanases, cellobiohydrolases and xylanases. The transcriptome response to willow had many similarities with the response to straw with some significant differences in the expression levels of individual genes which are discussed in relation to differences in substrate composition or other factors. Differences in transcript levels include higher levels on wheat straw from genes encoding enzymes classified as members of GH62 (an arabinofuranosidase) and CE1 (a feruloyl esterase) CAZy families whereas two genes encoding endoglucanases classified as members of the GH5 family had higher transcript levels when exposed to willow. There were changes in the cocktail of enzymes secreted by A. niger when cultured with willow or straw. Assays for particular enzymes as well as saccharification assays were used to compare the enzyme activities of the cocktails. Wheat straw induced an enzyme cocktail that saccharified wheat straw to a greater extent than willow. Genes not encoding CAZymes were also induced on willow such as hydrophobins as well as genes of unknown function. Several genes were identified as promising targets for future study. Conclusions: By comparing this first study of the global transcriptional response of a fungus to willow with the response to straw, we have shown that the inducing lignocellulosic substrate has a marked effect upon the range of transcripts and enzymes expressed by A. niger. The use by industry of complex substrates such as wheat straw or willow could benefit efficient biofuel production. Six samples in total consisting of duplicate shake flask Aspergillus niger cultures from three conditions: glucose 48 h, willow 24 h, willow 24 h + glucose 5 h

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The pangenome analysis of the soil-borne fungal phytopathogen Rhizoctonia solani and development of a comprehensive web resource: RsolaniDB

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