RNA-Seq, bioinformatic identification of potential microRNA-like small RNAs in the edible mushroom Agaricus bisporus and experimental approach for their validatiol

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 m...

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Detalhes bibliográficos
Autores: Marín Martín, Francisco Ramón, Dávalos, Alberto, Kiltschewskij, Dylan, Crespo, Maria C., Cairns, Murray, Andrés-León, Eduardo, Soler Rivas, Cristina
Formato: artículo
Fecha de publicación:2022
País:España
Recursos:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/706005
Acesso em linha:http://hdl.handle.net/10486/706005
https://dx.doi.org/10.3390/ijms23094923
Access Level:acceso abierto
Palavra-chave:Agaricus
Computational biology
MicroRNAs
RNA, fungal
RNA-Seq
Química
Descrição
Resumo: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 Agaricus bisporus (A. bisporus, 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 A. bisporus 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