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International Journal of Medicinal Mushrooms

Publication de 12  numéros par an

ISSN Imprimer: 1521-9437

ISSN En ligne: 1940-4344

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.2 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.4 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00066 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.34 SJR: 0.274 SNIP: 0.41 CiteScore™:: 2.8 H-Index: 37

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Bioinformatic Identification of Potential MicroRNAs and Their Targets in the Lingzhi or Reishi Medicinal Mushroom Ganoderma lucidum (Higher Basidiomycetes)

Volume 17, Numéro 8, 2015, pp. 783-797
DOI: 10.1615/IntJMedMushrooms.v17.i8.80
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RÉSUMÉ

MicroRNAs (miRNAs) are a class of small, endogenous, noncoding RNA molecules that negatively regulate gene expression at the transcriptional or the post-transcriptional level. Although a large number of miRNAs have been identified in many species, especially model plants and animals, miRNAs in fungi remain largely unknown. In this study, based on a database of expressed sequence tags in Ganoderma lucidum, 89 potential miRNAs were identified using computational methods. Real-time polymerase chain reaction analysis of miRNA-like samples prepared from G. lucidum at different development stages revealed that miRNA-like RNAs were differentially expressed in different stages. Furthermore, a total of 28 potential targets were found based on near-perfect or perfect complementarity between the randomly selected 9 miRNA-like RNAs and the target sequences, and potential targets for G. lucidum miRNA-like RNAs were predicted. Finally, we studied the expression pattern of 4 target genes in 3 different development stages of G. lucidum to further understand the mechanism of interaction between miRNA-like RNAs and their target genes. Our analysis paves the way toward identifying fungal miRNA-like RNAs that might be involved in various physiological and cellular differentiation processes.

CITÉ PAR
  1. Huang Yong, Yang You Bing, Gao Xiao Chan, Ren Hong Tao, Sun Xi Hong, Identification and characterization of the Chinese giant salamander (Andrias davidianus) miRNAs by deep sequencing and predication of their targets, 3 Biotech, 7, 4, 2017. Crossref

  2. Shao Junjie, Wang Liqiang, Liu Yang, Qi Qianru, Wang Bin, Lu Shanfa, Liu Chang, Identification of milRNAs and their target genes in Ganoderma lucidum by high-throughput sequencing and degradome analysis, Fungal Genetics and Biology, 136, 2020. Crossref

  3. Govender Nisha, Mui-Yun Wong, Paterson Robert Russell Monteith, Opportunities for New-Generation Ganoderma boninense Biotechnology, in Grand Challenges in Fungal Biotechnology, 2020. Crossref

  4. Wang Gangzheng, Li Min, Zhang Chenghua, Zhan Ning, Cheng Huijiao, Gao Yu, Sun Chengyuan, Deng Wangqiu, Li Taihui, Identification of microRNA-like RNAs in Cordyceps guangdongensis and their expression profile under differential developmental stages, Fungal Genetics and Biology, 147, 2021. Crossref

  5. Jiang Mei, Wang Liqiang, Wu Bin, Lu Shanfa, Noncoding RNAs in Lingzhi Mushroom, in The Lingzhi Mushroom Genome, 2021. Crossref

  6. Srivastava Swati, Singh Noopur, Srivastava Gaurava, Sharma Ashok, miRNA mediated gene regulatory network analysis of Cichorium intybus (chicory), Agri Gene, 3, 2017. Crossref

  7. Marin Francisco R., Dávalos Alberto, Kiltschewskij Dylan, Crespo Maria C., Cairns Murray, Andrés-León Eduardo, Soler-Rivas Cristina, RNA-Seq, Bioinformatic Identification of Potential MicroRNA-like Small RNAs in the Edible Mushroom Agaricus bisporus and Experimental Approach for Their Validation, International Journal of Molecular Sciences, 23, 9, 2022. Crossref

  8. Zhou Qiumei, Yin Xuebing, Zhang Hanghang, Wang Yulong, Kolodkin-Gal Ilana, MicroRNA-like RNA Functions Are Required for the Biosynthesis of Active Compounds in the Medicinal Fungus Sanghuangporus vaninii , Microbiology Spectrum, 10, 6, 2022. Crossref

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