Department of Medical and Molecular Genetics, School of Basic and Medical Biosciences, King's College London, London, UK.
BMC Biol. 2022 Jul 22;20(1):168. doi: 10.1186/s12915-022-01373-5.
The human mitochondrial genome is transcribed as long strands of RNA containing multiple genes, which require post-transcriptional cleavage and processing to release functional gene products that play vital roles in cellular energy production. Despite knowledge implicating mitochondrial post-transcriptional processes in pathologies such as cancer, cardiovascular disease and diabetes, very little is known about the way their function varies on a human population level and what drives changes in these processes to ultimately influence disease risk. Here, we develop a method to detect and quantify mitochondrial RNA cleavage events from standard RNA sequencing data and apply this approach to human whole blood data from > 1000 samples across independent cohorts.
We detect 54 putative mitochondrial RNA cleavage sites that not only map to known gene boundaries, short RNA ends and RNA modification sites, but also occur at internal gene positions, suggesting novel mitochondrial RNA cleavage junctions. Inferred RNA cleavage rates correlate with mitochondrial-encoded gene expression across individuals, suggesting an impact on downstream processes. Furthermore, by comparing inferred cleavage rates to nuclear genetic variation and gene expression, we implicate multiple genes in modulating mitochondrial RNA cleavage (e.g. MRPP3, TBRG4 and FASTKD5), including a potentially novel role for RPS19 in influencing cleavage rates at a site near to the MTATP6-COX3 junction that we validate using shRNA knock down data.
We identify novel cleavage junctions associated with mitochondrial RNA processing, as well as genes newly implicated in these processes, and detect the potential impact of variation in cleavage rates on downstream phenotypes and disease processes. These results highlight the complexity of the mitochondrial transcriptome and point to novel mechanisms through which nuclear-encoded genes can potentially influence key mitochondrial processes.
人类线粒体基因组转录为包含多个基因的长链 RNA,这些基因需要转录后切割和加工,以释放出在细胞能量产生中发挥重要作用的功能基因产物。尽管人们已经认识到线粒体转录后过程与癌症、心血管疾病和糖尿病等病理学有关,但对于这些过程在人类群体水平上的功能变化方式以及驱动这些变化的因素,以及它们最终如何影响疾病风险,人们知之甚少。在这里,我们开发了一种从标准 RNA 测序数据中检测和量化线粒体 RNA 切割事件的方法,并将该方法应用于来自 >1000 个独立队列的人类全血数据。
我们检测到 54 个假定的线粒体 RNA 切割位点,这些位点不仅映射到已知的基因边界、短 RNA 末端和 RNA 修饰位点,而且还发生在基因内部位置,提示存在新的线粒体 RNA 切割接头。个体间推断的 RNA 切割率与线粒体编码基因表达相关,表明其对下游过程有影响。此外,通过将推断的切割率与核遗传变异和基因表达进行比较,我们发现多个基因参与调节线粒体 RNA 切割(例如 MRPP3、TBRG4 和 FASTKD5),包括 RPS19 在影响靠近 MTATP6-COX3 接头的位点切割率的潜在新作用,我们使用 shRNA 敲低数据验证了这一点。
我们确定了与线粒体 RNA 加工相关的新的切割接头,以及新涉及这些过程的基因,并检测到切割率的变异性对下游表型和疾病过程的潜在影响。这些结果突出了线粒体转录组的复杂性,并指出了核编码基因可能通过潜在的新机制影响关键线粒体过程的新机制。