| miRNA and phasiRNA are two important small non-coding RNAs that play an indispensable role in gene regulation during the growth and development of organisms.Rosa rugosa is an important economic crop in Yunnan Province.It has high medicinal value and nutritional value.It can be used to improve chest tightness,bloating,promote metabolism and reduce arteriosclerosis.However,there are no studies on PHAS and phasiRNA at home and abroad,and the research on miRNA and its function in roses is also limited.With the deepening of scientific research,the use of conventional experimental methods for miRNA and phasiRNA research can not sutisfy the existing needs.With high-performance servers,comprehensive analysis using bioinformatics tools will reveal more information hidden in genes.In this study,a small RNA library from five important tissues of Rosa rugosa roots,leaves,petals,stamens and pollens,a transcriptome library from petals and leaves,and a degradation group library from leaves were sequenced by high-throughput sequencing technology.By assembling the transcriptome,the small RNA library is aligned to the transcriptome by BLAST,Bowtie and other sequence alignment tools to obtain sequence position information and gene function annotation;the miRNA and phasiRNA is identified and analyzed using the JsmallRNA Bioinformatics Integrated Analysis Toolkit developed by the laboratory.;target genes identification by SeqTar procedure.Through systematic analysis,we identified 321 conserved miRNAs and predicted 22 new miRNAs,of which the precursor sequences of 25 conserved miRNAs were predicted.The study found 339 PHAS regions that produced 21 nt phasiRNA and 49 PHAS regions that produced 24 nt phasiRNA.In addition,592 conserved miRNA target genes,2672 target genes for 21 nt phasiRNA,and 8 target genes for 24 nt phasiRNA were identified.Based on these analysis results,it is expected to provide theoretical guidance for small non-coding RNA in the improvement of rose varieties and the cultivation of new varieties. |