National Centre for Biological Sciences, Tata Institute of Fundamental Research, GKVK Campus, Bangalore, 560065, India.
SASTRA University, Thirumalaisamudram, Thanjavur, 613401, India.
BMC Genomics. 2022 Jan 14;23(1):53. doi: 10.1186/s12864-021-08288-5.
Small non-coding (s)RNAs are involved in the negative regulation of gene expression, playing critical roles in genome integrity, development and metabolic pathways. Targeting of RNAs by ribonucleoprotein complexes of sRNAs bound to Argonaute (AGO) proteins results in cleaved RNAs having precise and predictable 5` ends. While tools to study sliced bits of RNAs to confirm the efficiency of sRNA-mediated regulation are available, they are sub-optimal. In this study, we provide an improvised version of a tool with better efficiency to accurately validate sRNA targets.
Here, we improvised the CleaveLand tool to identify additional micro (mi)RNA targets that belong to the same family and also other targets within a specified free energy cut-off. These additional targets were otherwise excluded during the default run. We employed these tools to understand the sRNA targeting efficiency in wild and cultivated rice, sequenced degradome from two rice lines, O. nivara and O. sativa indica Pusa Basmati-1 and analyzed variations in sRNA targeting. Our results indicate the existence of multiple miRNA-mediated targeting differences between domesticated and wild species. For example, Os5NG4 was targeted only in wild rice that might be responsible for the poor secondary wall formation when compared to cultivated rice. We also identified differential mRNA targets of secondary sRNAs that were generated after miRNA-mediated cleavage of primary targets.
We identified many differentially targeted mRNAs between wild and domesticated rice lines. In addition to providing a step-wise guide to generate and analyze degradome datasets, we showed how domestication altered sRNA-mediated cascade silencing during the evolution of indica rice.
小非编码(s)RNAs 参与基因表达的负调控,在基因组完整性、发育和代谢途径中发挥关键作用。sRNA 与 Argonaute(AGO)蛋白结合形成的核糖核蛋白复合物靶向 RNA,导致切割的 RNA 具有精确且可预测的 5`端。虽然有用于研究 RNA 片段以确认 sRNA 介导的调节效率的工具,但它们并不理想。在这项研究中,我们提供了一种改良的工具版本,以提高效率,准确验证 sRNA 靶标。
在这里,我们改进了 CleaveLand 工具,以识别属于同一家族的其他 miRNA 靶标以及在指定自由能截止值内的其他靶标。这些额外的靶标在默认运行期间被排除在外。我们使用这些工具来了解野生和栽培稻中的 sRNA 靶向效率,从两个水稻品系 O. nivara 和 O. sativa indica Pusa Basmati-1 中测序降解组,并分析 sRNA 靶向的变化。我们的结果表明,驯化和野生种之间存在多种 miRNA 介导的靶向差异。例如,Os5NG4 仅在野生稻中靶向,与栽培稻相比,这可能导致次生壁形成不良。我们还鉴定了次级 sRNA 产生的初级靶标切割后的差异 mRNA 靶标。
我们在野生和驯化的水稻品系之间鉴定了许多差异靶向的 mRNAs。除了提供生成和分析降解组数据集的分步指南外,我们还展示了驯化如何在 indica 水稻的进化过程中改变 sRNA 介导的级联沉默。