NDLI: Deep-sequence profiling of miRNAs and their target prediction in Monotropa hypopitys

Content Provider	Springer Nature Link
Author	Shchennikova, Anna V. Beletsky, Alexey V. Shulga, Olga A. Mazur, Alexander M. Prokhortchouk, Egor B. Kochieva, Elena Z. Ravin, Nikolay V. Skryabin, Konstantin G.
Copyright Year	2016
Abstract	Myco-heterotroph Monotropa hypopitys is a widely spread perennial herb used to study symbiotic interactions and physiological mechanisms underlying the development of non-photosynthetic plant. Here, we performed, for the first time, transcriptome-wide characterization of M. hypopitys miRNA profile using high throughput Illumina sequencing. As a result of small RNA library sequencing and bioinformatic analysis, we identified 55 members belonging to 40 families of known miRNAs and 17 putative novel miRNAs unique for M. hypopitys. Computational screening revealed 206 potential mRNA targets for known miRNAs and 31 potential mRNA targets for novel miRNAs. The predicted target genes were described in Gene Ontology terms and were found to be involved in a broad range of metabolic and regulatory pathways. The identification of novel M. hypopitys-specific miRNAs, some with few target genes and low abundances, suggests their recent evolutionary origin and participation in highly specialized regulatory mechanisms fundamental for non-photosynthetic biology of M. hypopitys. This global analysis of miRNAs and their potential targets in M. hypopitys provides a framework for further investigation of miRNA role in the evolution and establishment of non-photosynthetic myco-heterotrophs.
Starting Page	441
Ending Page	458
Page Count	18
File Format	PDF
ISSN	01674412
Journal	Plant Molecular Biology
Volume Number	91
Issue Number	4-5
e-ISSN	15735028
Language	English
Publisher	Springer Netherlands
Publisher Date	2016-04-20
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Monotropa hypopitys High-throughput sequencing miRNA Plant Sciences Biochemistry Plant Pathology
Content Type	Text
Resource Type	Article
Subject	Genetics Plant Science Medicine Agronomy and Crop Science

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