Department of Production and Characterization of Novel Foods, Institute of Food Science Research-CIAL (UAM + CSIC), Universidad Autónoma de Madrid, 28049 Madrid, Spain.
Laboratory of Epigenetics of Lipid Metabolism, Madrid Institute for Advanced Studies (IMDEA)-Food, CEI UAM + CSIC, Pabellón Central del Antiguo Hospital de Cantoblanco, 28049 Madrid, Spain.
Int J Mol Sci. 2022 Apr 28;23(9):4923. doi: 10.3390/ijms23094923.
Although genomes from many edible mushrooms are sequenced, studies on fungal micro RNAs (miRNAs) are scarce. Most of the bioinformatic tools are designed for plants or animals, but the processing and expression of fungal miRNAs share similarities and differences with both kingdoms. Moreover, since mushroom species such as (, white button mushroom) are frequently consumed as food, controversial discussions are still evaluating whether their miRNAs might or might not be assimilated, perhaps within extracellular vesicles (i.e., exosomes). Therefore, the RNA-seq was studied in order to identify potential de novo miRNA-like small RNAs (milRNAs) that might allow their later detection in diet. Results pointed to 1 already known and 37 de novo milRNAs. Three milRNAs were selected for RT-qPCR experiments. Precursors and mature milRNAs were found in the edible parts (caps and stipes), validating the predictions carried out in silico. When their potential gene targets were investigated, results pointed that most were involved in primary and secondary metabolic regulation. However, when the human transcriptome is used as the target, the results suggest that they might interfere with important biological processes related with cancer, infection and neurodegenerative diseases.
尽管已经对许多可食用蘑菇的基因组进行了测序,但对真菌 microRNAs (miRNAs) 的研究却很少。大多数生物信息学工具都是为植物或动物设计的,但真菌 miRNAs 的加工和表达与这两个领域既有相似之处,也有不同之处。此外,由于像 (双孢蘑菇) 这样的蘑菇品种经常被作为食物食用,因此仍在争议性地讨论它们的 miRNAs 是否可能被同化,也许是在细胞外囊泡(即外泌体)中。因此,研究了 RNA-seq,以鉴定可能存在的新 miRNA 样小 RNA (milRNAs),以便以后在饮食中检测到它们。结果表明,有 1 个已知和 37 个新的 milRNAs。选择了 3 个 milRNAs 进行 RT-qPCR 实验。在可食用部分(帽和茎)中发现了前体和成熟的 milRNAs,验证了计算机预测。当研究它们潜在的基因靶标时,结果表明,它们大多数参与初级和次级代谢调控。然而,当将人类转录组用作靶标时,结果表明它们可能干扰与癌症、感染和神经退行性疾病相关的重要生物学过程。