Project description:Dendrocalamus latiflorus Munro (D. latiflorus) is a woody clumping bamboo with rapid shoot growth. Both genetic transformation and CRISPR-Cas9 gene editing techniques are available for D. latiflorus, enabling reverse genetic approaches. Thus, D. latiflorus has the potential to be a model bamboo species. However, the genome sequence of D. latiflorus has remained unreported due to its polyploidy and large genome size. Here, we sequenced the D. latiflorus genome and assembled it into three allele-aware subgenomes (AABBCC), representing the largest genome of a major bamboo species. We assembled 70 allelic chromosomes (2,737 Mb) for hexaploid D. latiflorus using both single-molecule sequencing from the Pacific Biosciences (PacBio) Sequel platform and chromosome conformation capture sequencing (Hi-C). Repetitive sequences comprised 52.65% of the D. latiflorus genome. We annotated 135,231 protein-coding genes in the genome based on transcriptomes from eight different tissues. Transcriptome sequencing using RNA-Seq and PacBio single-molecule real-time (SMRT) long-read isoform sequencing (Iso-Seq) revealed highly differential alternative splicing (AS) between non-abortive and abortive shoots, suggesting that AS regulates the abortion rate of bamboo shoots. This high-quality hexaploid genome and comprehensive strand-specific transcriptome datasets for this Poaceae family member will pave the way for bamboo research using D. latiflorus as a model species.
Project description:This study utilized the HIT-ISOseq method for high-throughput sequencing of RNA isoforms across multiple lettuce samples, generating millions of long reads per PacBio Sequel II SMRT Cell. Analysis of six tissue types revealed tissue-specific gene expression and RNA isoforms, facilitating updates to the lettuce reference genome annotation with expanded functional annotations.
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.
