Genome-Wide Identification and Posttranscriptional Regulation Analyses Elucidate Roles of Key Argonautes and Their miRNA Triggers in Regulating Complex Yield Traits in Rapeseed.
Liyuan ZhangBo YangChao ZhangHuan ChenJinxiong XuCun-Min QuKun LuJiana LiPublished in: International journal of molecular sciences (2023)
Argonautes (AGOs) interact with microRNAs (miRNAs) to form the RNA-induced silencing complex (RISC), which can posttranscriptionally regulate the expression of targeted genes. To date, however, the AGOs and their miRNA triggers remain elusive in rapeseed ( Brassica napus ). Here, we systematically performed a phylogenetic analysis and examined the collinear relationships of the AGOs among four Brassicaceae species. Their physicochemical properties, gene structures, and expression patterns among 81 tissues from multiple materials and developmental stages were further analyzed. Additionally, their posttranscriptional regulation was analyzed using psRNATarget prediction, miRNA-/mRNA-Seq analyses, and a qRT-PCR verification. We finally identified 10 AtAGOs, 13 BolAGOs, 11 BraAGOs, and 24 BnaAGOs. An expression analysis of the BnaAGO s in the B. napus cultivar ZS11, as well as genotypes with extreme phenotypes in various yield-related traits, revealed the conservation and diversity of these genes. Furthermore, we speculated the posttranscriptional regulation of the B. napus miR168a-AGO1s and miR403-AGO2s modules. Combining miRNA-Seq and mRNA-Seq analyses, we found that the B. napus miR168a-AGO1s module may play an essential role in negatively regulating yield traits, whereas the miR403-AGO2s module positively impacts yield. This is the first attempt to comprehensively analyze the AGOs and their miRNA triggers in B. napus and provides a theoretical basis for breeding high-yielding varieties through the manipulation of the miRNA-AGOs modules.
Keyphrases
- genome wide
- genome wide identification
- long non coding rna
- poor prognosis
- cell proliferation
- dna methylation
- long noncoding rna
- single cell
- binding protein
- transcription factor
- copy number
- rna seq
- gene expression
- high glucose
- genome wide analysis
- endothelial cells
- network analysis
- nucleic acid
- arabidopsis thaliana
- stress induced