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.
Project description:<p>Bamboo rats (<em>Rhizomys pruinosus</em>) are among the few mammals that lives on a bamboo-based diet which is mainly composed of lignocellulose. However, the mechanisms of adaptation of their gut microbiome and metabolic systems in the degradation of lignocellulose are largely unknown. Here, we conducted a multi-omics analysis on bamboo rats to investigate the interaction between their gut microbiomes and metabolic systems in the pre- and post-weaning periods, and observed significant relationships between dietary types, gut microbiome, serum metabolome and host gene expression. For comparison, published gut microbial data from the famous bamboo-eating giant panda (<em>Ailuropoda melanoleuca</em>) were also used for analysis. We found that the adaptation of the gut microbiome of the bamboo rat to a lignocellulose diet is related to a member switch in the order Bacteroidales from family <em>Bacteroidaceae</em> to family <em>Muribaculaceae</em>, while for the famous bamboo-eating giant panda, several aerobes and facultative anaerobes increase after weaning. The conversion of bacteria with an increased relative abundance in bamboo rats after weaning enriched diverse carbohydrate-active enzymes (CAZymes) associated with lignocellulose degradation and functionally enhanced the biosynthesis of amino acids and B vitamins. Meanwhile, the circulating concentration of short chain fatty acids (SCFAs) derived metabolites and the metabolic capacity of linoleic acid in the host were significantly elevated. Our findings suggest that fatty acid metabolism, including linoleic acid and SCFAs, are the main energy sources for bamboo rats in response to the low-nutrient</p>
2022-04-22 | MTBLS4161 | MetaboLights
Project description:16S rRNA after Short-term TCM intervention
| PRJNA832599 | ENA
Project description:16S rRNA after Short-term antibiotic intervention
Project description:Bamboo represents the only major lineage of grasses that is native to forests and is one of the most important non-timber forest products in the world. Moso bamboo is a large woody bamboo that has ecological, economic and cultural value in Asia and accounts for ~70% of the total bamboo growth area (Peng et al., 2013). In the aspect of epigenetics of Moso bamboo,the total genomic DNA methylation rates in Moso bamboo at different chronological ages were significantly different (Yuan et al., 2014). Those show that the flowering of Moso bamboo are closely related to epigenetic modification. However, DNA methylation in single base resolution has never been reported in moso bamboo. In this study, leaves from three-week bamboo, one-year bamboo, flower in next year bamboo, flowering bamboo and Flower florets was used for bisulfite sequencing (BS-seq), and RNA-Seq. Genome-wide methylation profile and gene expression analysis were constructed to reveal the factors to regualte the phase transition from vegetative to reproductive growth in moso bamboo.
Project description:Bamboo represents the only major lineage of grasses that is native to forests and is one of the most important non-timber forest products in the world. Moso bamboo is a large woody bamboo that has ecological, economic and cultural value in Asia and accounts for ~70% of the total bamboo growth area (Peng et al., 2013). In the aspect of epigenetics of Moso bamboo,the total genomic DNA methylation rates in Moso bamboo at different chronological ages were significantly different (Yuan et al., 2014). Those show that the flowering of Moso bamboo are closely related to epigenetic modification. However, DNA methylation in single base resolution has never been reported in moso bamboo. In this study, leaves from three-week bamboo, one-year bamboo, flower in next year bamboo, flowering bamboo and Flower florets was used for bisulfite sequencing (BS-seq), and RNA-Seq. Genome-wide methylation profile and gene expression analysis were constructed to reveal the factors to regualte the phase transition from vegetative to reproductive growth in moso bamboo.