Transcriptome analysis of Lei bamboo (Phyllostachys violascens) shoots during postharvest cold storage
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PROVIDER: PRJNA627596 | ENA |
REPOSITORIES: ENA
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Project description:Purpose:Bamboo shoots rapidly lose water and accumulate lignin when stored under room temperature, while low temperature conditioning (LTC, 4℃) can alleviate lignification and reduce weightlessness rate. However, few transcriptional response and profiling datasets are available to explore the LTC mechanism of bamboo shoots.The goal of this study is to provides insights into the regulation of Lei bamboo (Phyllostachys violascens) shoots during postharvest cold storage by transcriptome analysis. Methods:Total RNA was extracted using RNAiso Plus (Takara, Japan) according to the protocol, and after quality testing, was used for library construction and transcriptome sequencing by Illumina Novaseq™ 6000. The quality-controlled reads were aligned to the Phyllostachys edulis reference genome (http://gigadb.org/dataset/100498). The edgeR program25 was used for differential expression analyses. Results: After raw data filtering, a high clean data rate from each sample was achieved, and the assessment result for the clean data by FastQC all demonstrated that our sequencing data was of high quality, full representativeness and validity. Compared with CK, a total of 7,452 DEGs were identified during LT storage. The Pearson’s correlation coefficient (r) and principle component analysis (PCA) results all suggested a high correlation among all samples. The above results suggest an effective LT treatment of postharvest bamboo shoots and a high-quality bioinformatics analysis of our RNA-seq results. Conclusions: Our study represents the first detailed analysis of Lei bamboo (Phyllostachys violascens) shoots during postharvest cold storage transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. We conclude that RNA-seq based transcriptome characterization would reveal the essence of ripening and senescence of fruits and vegetables.
2020-10-01 | GSE149182 | GEO
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Project description:Moso bamboo (Phyllostachys edulis) represents one of the fastest-spreading plants in the world, due in part to their well-developed rhizomes system. However, the post-transcriptional regulation mechanism has not been comprehensively studied for the development of rhizome system in bamboo. We therefore used single-molecule long-read sequencing technology to re-annotate the bamboo genome, and genome-wide identify alternative splicing (AS) and alternative polyadenylation (APA) in the rhizomes system. In total, 145,522 mapped full-length non-chimeric (FLNC) reads were analyzed, resulting in the correction of 2,241 mis-annotated genes and identification of 8,091 previously unannotated loci. Markedly, more than 42,280 contiguous exon connectivity were derived from full-length splicing isoforms, including a large number of AS events that associated with rhizome systems. In addition, we characterized 25,069 polyadenylation sites from 11,450 genes, 6,311 of which have APA sites. Further analysis of intronic polyadenylation revealed that LTR/Gypsy and LTR/Copia were two major transposable elements (TEs) within the intronic polyadenylation region. Furthermore, this study provided a quantitative altas of poly(A) usage and identified several hundreds of differential poly(A) sites in rhizome-root system using a combination of polyadenylation site sequencing (PAS-seq) and PacBio reads. Taken together, these results suggest that posttranscriptional regulation may potentially play vital role in the underground rhizome-root system.
2017-05-10 | GSE90517 | GEO
Project description:Moso bamboo (Phyllostachys edulis (Carrière) J. Houz.), ) is one of the most importantessential economic bamboo species in China. However, the woods quality and yield of bamboo shoots were significantly threatened by diverse environmental conditions. significantly threaten the quality of wood and yield of bamboo shoots. In this study, to explore the molecular mechanism of abiotic stress response, we report the RNA-seq analyses of mosoMoso bamboo treated with drought, salt, SA and ABA at three -time courses. A total of 224.4 Gb clean data were generate in to explore the molecular mechanism of the abiotic stress response. The full-length transcriptome sequencing of these four treatments generated a total of 224.4 Gb data after quality trimming, and approximately 5.83Gban average of 6.615 Gb clean data were per sample was generated in per sample. The comparative analyses of the generated transcriptome data in this study will provide a valuable resource for identifying regulatory genes and potential pathways involved in various abiotic stresses in mosoMoso bamboo.
2021-10-01 | GSE169067 | GEO
Project description:Brassinosteroids (BRs) are a group of plant steroid hormones that play crucial roles various of growth and developmental processes. Biological function and signal transduction pathway of BR has been well characterized in model plants like Arabidopsis and rice. However, their biological roles are still unclear in tree species, especially in an important non-timber plant moso bamboo, which has great ecological and economic value and distinguish fast-growth feature. Here we reported that reduce endogenous brassinosteroid by biosynthesis inhibitor propiconazole reduced both root and shoot growth in seedling stage. Exogenous BR application promoted shoot bract elongation and inclination of lamina joint and bract. Genome-wide transcriptome analysis were performed to identify hundreds of differential expressed genes by BR and propiconazole treatment in shoot and root parts of bamboo seedling, respectively. GO analysis revealed that BR regulates cell wall related genes, hydrogen peroxide catabolic genes and auxin related genes to promote bamboo root development and elongation. Our study identified BR response genes and provides a comprehensive resource for molecular mechanism research of bamboo growth.
2018-12-11 | GSE123529 | GEO