Transcriptomic Analysis and the Expression of Disease-Resistant Genes in Oryza meyeriana under Native Condition

Transcriptomics and metabolomics reveal the mechanism of metabolites changes in Cymbidium tortisepalum var. longibracteatum colour mutation cultivars

BACKGROUND

Foliage color is considered an important ornamental character of Cymbidium tortisepalum (C. tortisepalum), which significantly improves its horticultural and economic value. However, little is understood on the formation mechanism underlying foliage-color variations.

METHODS

In this study, we applied a multi-omics approach based on transcriptomics and metabolomics, to investigate the biomolecule mechanisms of metabolites changes in C. tortisepalum colour mutation cultivars.

RESULTS

A total of 508 genes were identified as differentially expressed genes (DEGs) between wild and foliage colour mutation C. tortisepalum cultivars based on transcriptomic data. KEGG enrichment of DEGs showed that genes involved in phenylalanine metabolism, phenylpropanoid biosynthesis, flavonoid biosynthesis and brassinosteroid biosynthesis were most significantly enriched. A total of 420 metabolites were identified in C. tortisepalum using UPLC-MS/MS-based approach and 115 metabolites differentially produced by the mutation cultivars were identified. KEGG enrichment indicated that the most metabolites differentially produced by the mutation cultivars were involved in glycerophospholipid metabolism, tryptophan metabolism, isoflavonoid biosynthesis, flavone and flavonol biosynthesis. Integrated analysis of the metabolomic and transcriptomic data showed that there were four significant enrichment pathways between the two cultivars, including phenylalanine metabolism, phenylpropanoid biosynthesis, flavone and flavonol biosynthesis and flavonoid biosynthesis.

CONCLUSION

The results of this study revealed the mechanism of metabolites changes in C. tortisepalum foliage colour mutation cultivars, which provides a new reference for breeders to improve the foliage color of C. tortisepalum.

Transcriptome analysis of the impact of exogenous methyl jasmonate on the opening of sorghum florets

Background

Methyl Jasmonate (MeJA) could promote the opening of sorghum florets, but the molecular mechanism remains unclear.

Objective

We aimed to investigate the molecular mechanism of exogenous MeJA in promoting the opening of sorghum florets.

Methods

Hybrid sorghum Aikang-8 was selected as the test material in this study. Sorghum plants of uniform growth with approximately 20%-25% florets open were selected and treated with 0, 0.5 and 2.0 mmol/L of MeJA. Totally there were 27 samples with lodicules removed were obtained at different time points and used for the transcriptome analysis using the BGISEQ_500RS platform.

Results

The results showed the sorghum florets opened earlier than the control after the treatment with exogenous MeJA, and the promotive effect increased along with the increase of exogenous MeJA concentration. The number of differentially expressed genes (DEGs) in plasma cells increased with the increase of MeJA concentration, whether up- or down-regulated, after the exogenous MeJA treatment. Besides, the number of metabolic pathways was also positively correlated with the concentration of MeJA. GO and KEGG analysis suggested the DEGs were mainly enriched in starch and sucrose metabolism-related pathways (i.e., LOC8063704, LOC8083539 and LOC8056206), plant hormone signal transduction pathways (i.e., LOC8084842, LOC8072010, and LOC8057408), energy metabolic pathway (i.e., LOC8076139) and the α-linolenic acid metabolic pathway (i.e., LOC8055636, LOC8057399, LOC8063048 and LOC110430730). Functional analysis of target genes showed that two genes named LOC-1 (LOC8063704) and LOC-2 (LOC8076139) could induce the earlier flowering of Arabidopsis thaliana.

Conclusion

The results of this study suggest that exogenous MeJA treatments could induce the up- or down- regulation of genes related to starch and sucrose metabolism, -linolenic acid metabolism and plant hormone signal transduction pathways in the plasma cells of sorghum florets, thereby promoting the opening of sorghum florets.

Transcriptome Analysis and Functional Identification of Xa13 and Pi-ta Orthologs in Oryza granulata

Nees & Arn. ex Watt, a perennial wild rice species with a GG genome, preserves many important genes for cultivated rice ( L.) improvement. At present, however, no genetic resource is available for studying . Here, we report 91,562 high-quality transcripts of assembled de novo. Moreover, comparative transcriptome analysis revealed that 1311 single-copy orthologous pairs shared by and (Zoll. & Moritzi) Baill. that may have undergone adaptive evolution. We performed an analysis of the genes potentially involved in plant-pathogen interactions to explore the molecular basis of disease resistance, and isolated the full-length cDNAs of () and () orthologs from . The overexpression of in Nipponbare and functional characterization showed enhanced the resistance of transgenic Nipponbare to rice blast resulting from the presence of the gene. , an alternatively spliced transcript of the blast resistance gene in encodes a 1024-amino acid polypeptide with a C-terminal thioredoxin domain. This study provides an important resource for functional and evolutionary studies of the genus .

Transcriptome analysis of different growth stages of Aspergillus oryzae reveals dynamic changes of distinct classes of genes during growth

Background

The gene expression profile and metabolic pathways of Aspergillus oryzae underlying the anatomical and morphological differentiation across different growth stages have not been fully characterized. The rapid development of next-generation sequencing technologies provides advanced knowledge of the genomic organization of A. oryzae.

Results

In this study, we characterized the growth and development of A. oryzae at different growth stages, including the adaptive phase, logarithmic phase, and stationary phase. Our results revealed that A. oryzae undergoes physiological and morphological differentiation across the different stages. RNA-seq was employed to analyze the three stages of A. oryzae, which generated more than 27 million high-quality reads per sample. The analysis of differential gene expression showed more genes expressed differentially upon transition from the adaptive phase to the logarithmic and stationary phases, while relatively steady trend was observed during the transition from the logarithmic phase to the stationary phase. GO classification of the differentially expressed genes among different growth stages revealed that most of these genes were enriched for single-organism process, metabolic process, and catalytic activity. These genes were then subjected to a clustering analysis. The results showed that the cluster with the majority of genes with increased expression upon transition from the adaptive phase to the logarithmic phase, and steady expression from the logarithmic phase to the stationary phase was mainly involved in the carbohydrate and amino acid metabolism.

Conclusion

Our results provide a foundation for identifying developmentally important genes and understanding the biological processes across various growth stages.

Electronic supplementary material

The online version of this article (10.1186/s12866-018-1158-z) contains supplementary material, which is available to authorized users.

Transcriptome analysis confers a complex disease resistance network in wild rice Oryza meyeriana against Xanthomonas oryzae pv. oryzae

Rice bacterial blight (BB), caused by Xanthomonas oryzae pv. oryzae (Xoo), is one of the devastating diseases of rice. It is well established that the wild rice Oryza meyeriana is immune to BB. In this study, the transcriptomic analysis was carried out by RNA sequencing of O. meyeriana leaves, inoculated with Xoo to understand the transcriptional responses and interaction between the host and pathogen. Totally, 57,313 unitranscripts were de novo assembled from 58.7 Gb clean reads and 14,143 unitranscripts were identified after Xoo inoculation. The significant metabolic pathways related to the disease resistance enriched by KEGG, were revealed to plant-pathogen interaction, phytohormone signaling, ubiquitin mediated proteolysis, and phenylpropanoid biosynthesis. Further, many disease resistance genes were also identified to be differentially expressed in response to Xoo infection. Conclusively, the present study indicated that the induced innate immunity comprise the basal defence frontier of O. meyeriana against Xoo infection. And then, the resistance genes are activated. Simultaneously, the other signaling transduction pathways like phytohormones and ubiquitin mediated proteolysis may contribute to the disease defence through modulation of the disease-related genes or pathways. This could be an useful information for further investigating the molecular mechanism associated with disease resistance in O. meyeriana.

Transcriptome- Assisted Label-Free Quantitative Proteomics Analysis Reveals Novel Insights into Piper nigrum-Phytophthora capsici Phytopathosystem

Black pepper (Piper nigrum L.), a tropical spice crop of global acclaim, is susceptible to Phytophthora capsici, an oomycete pathogen which causes the highly destructive foot rot disease. A systematic understanding of this phytopathosystem has not been possible owing to lack of genome or proteome information. In this study, we explain an integrated transcriptome-assisted label-free quantitative proteomics pipeline to study the basal immune components of black pepper when challenged with P. capsici. We report a global identification of 532 novel leaf proteins from black pepper, of which 518 proteins were functionally annotated using BLAST2GO tool. A label-free quantitation of the protein datasets revealed 194 proteins common to diseased and control protein datasets of which 22 proteins showed significant up-regulation and 134 showed significant down-regulation. Ninety-three proteins were identified exclusively on P. capsici infected leaf tissues and 245 were expressed only in mock (control) infected samples. In-depth analysis of our data gives novel insights into the regulatory pathways of black pepper which are compromised during the infection. Differential down-regulation was observed in a number of critical pathways like carbon fixation in photosynthetic organism, cyano-amino acid metabolism, fructose, and mannose metabolism, glutathione metabolism, and phenylpropanoid biosynthesis. The proteomics results were validated with real-time qRT-PCR analysis. We were also able to identify the complete coding sequences for all the proteins of which few selected genes were cloned and sequence characterized for further confirmation. Our study is the first report of a quantitative proteomics dataset in black pepper which provides convincing evidence on the effectiveness of a transcriptome-based label-free proteomics approach for elucidating the host response to biotic stress in a non-model spice crop like P. nigrum, for which genome information is unavailable. Our dataset will serve as a useful resource for future studies in this plant. Data are available via ProteomeXchange with identifier PXD003887.