Transcriptome analysis based on high-throughput sequencing of a cDNA library has been widely applied to functional genomic studies. However, the cDNA dependence of most RNA sequencing techniques constrains their ability to detect base modifications on RNA, which is an important element for the post-transcriptional regulation of gene expression. To comprehensively profile the N⁶-methyladenosine (m⁶A) and N⁵-methylcytosine (m⁵C) modifications on RNA, direct RNA sequencing (DRS) using the latest Oxford Nanopore Technology was applied to analyze the transcriptome of six tissues in rice. Approximately 94 million reads were generated, with an average length ranging from 619 nt to 1013 nt, and a total of 45,707 transcripts across 34,763 genes were detected. Expression profiles of transcripts at the isoform level were quantified among tissues. Transcriptome-wide mapping of m⁶A and m⁵C demonstrated that both modifications exhibited tissue-specific characteristics. The transcripts with m⁶A modifications tended to be modified by m⁵C, and the transcripts with modifications presented higher expression levels along with shorter poly(A) tails than transcripts without modifications, suggesting the complexity of gene expression regulation. Gene Ontology analysis demonstrated that m⁶A- and m⁵C-modified transcripts were involved in central metabolic pathways related to the life cycle, with modifications on the target genes selected in a tissue-specific manner. Furthermore, most modified sites were located within quantitative trait loci that control important agronomic traits, highlighting the value of cloning functional loci. The results provide new insights into the expression regulation complexity and data resource of the transcriptome and epitranscriptome, improving our understanding of the rice genome.
RNA ; Oryza/genetics* ; RNA, Messenger ; Gene Expression Profiling ; Transcriptome ; Sequence Analysis, RNA ; High-Throughput Nucleotide Sequencing/methods* ; RNA Processing, Post-Transcriptional

OBJECTIVE: To study the general law of typing of bronchiectasis according to syndrome differentiation. METHODS: We collected the symptoms, conditions of tongue and pulse in patients of bronchiectasis, using frequencies procedure, discriminant analysis and K-means cluster analysis in SPSS statistical software as research medium. RESULTS: Five hundred and sixty three patients with bronchiectasis were studied. It suggested that accumulation of phlegm-heat in the lungs (45.65%), liver fire attacking the lungs (24.51%), asthenia of pulmonosplenic qi (22.38%), asthenia of both qi and yin (7.46%) were the main types. CONCLUSION: Clinical epidemiology provided scientific basis for further studying of the typing of bronchiectasis according to syndrome differentiation. Building up differentiation of syndromes through differentiation and analysis of main symptoms can be used in clinical diagnosis.