Global Identification of Small RNA Targets in Plants by Sequencing Sliced Ends of Messenger RNAs

Author(s):  
Yong-Fang Li ◽  
Ramanjulu Sunkar
2016 ◽  
Author(s):  
Florencia Berruezo ◽  
Flavio S. J. de Souza ◽  
Pablo I. Picca ◽  
Sergio I. Nemirovsky ◽  
Leandro Martinez-Tosar ◽  
...  

AbstractMicroRNAs (miRNAs) are short, single stranded RNA molecules that regulate the stability and translation of messenger RNAs in diverse eukaryotic groups. Several miRNA genes are of ancient origin and have been maintained in the genomes of animal and plant taxa for hundreds of millions of years, and functional studies indicate that ancient miRNAs play key roles in development and physiology. In the last decade, genome and small RNA (sRNA) sequencing of several plant species have helped unveil the evolutionary history of land plant miRNAs. Land plants are divided into bryophytes (liverworts, mosses), lycopods (clubmosses and spikemosses), monilophytes (ferns and horsetails), gymnosperms (cycads, conifers and allies) and angiosperms (flowering plants). Among these, the fern group occupies a key phylogenetic position, since it represents the closest extant cousin taxon of seed plants, i.e. gymno- and angiosperms. However, in spite of their evolutionary, economic and ecological importance, no fern genome has been sequenced yet and few genomic resources are available for this group. Here, we sequenced the small RNA fraction of an epiphytic South American fern, Pleopeltis minima (Polypodiaceae), and compared it to plant miRNA databases, allowing for the identification of miRNA families that are shared by all land plants, shared by all vascular plants (tracheophytes) or shared by euphyllophytes (ferns and seed plants) only. Using the recently described transcriptome of another fern, Lygodium japonicum, we also estimated the degree of conservation of fern miRNA targets in relation to other plant groups. Our results pinpoint the origin of several miRNA families in the land plant evolutionary tree with more precision and are a resource for future genomic and functional studies of fern miRNAs.


2008 ◽  
Vol 25 (1) ◽  
pp. 130-131 ◽  
Author(s):  
C. Addo-Quaye ◽  
W. Miller ◽  
M. J. Axtell
Keyword(s):  

Author(s):  
Joshua Thody ◽  
Leighton Folkes ◽  
Zahara Medina-Calzada ◽  
Ping Xu ◽  
Tamas Dalmay ◽  
...  

2015 ◽  
Vol 43 (W1) ◽  
pp. W480-W486 ◽  
Author(s):  
Shun Liu ◽  
Jun-Hao Li ◽  
Jie Wu ◽  
Ke-Ren Zhou ◽  
Hui Zhou ◽  
...  

2020 ◽  
Vol 48 (5) ◽  
pp. 2258-2270 ◽  
Author(s):  
Joshua Thody ◽  
Vincent Moulton ◽  
Irina Mohorianu

Abstract MicroRNAs (miRNAs) are short, non-coding RNAs that modulate the translation-rate of messenger RNAs (mRNAs) by directing the RNA-induced silencing complex to sequence-specific targets. In plants, this typically results in cleavage and subsequent degradation of the mRNA. Degradome sequencing is a high-throughput technique developed to capture cleaved mRNA fragments and thus can be used to support miRNA target prediction. The current criteria used for miRNA target prediction were inferred on a limited number of experimentally validated A. thaliana interactions and were adapted to fit these specific interactions; thus, these fixed criteria may not be optimal across all datasets (organisms, tissues or treatments). We present a new tool, PAREameters, for inferring targeting criteria from small RNA and degradome sequencing datasets. We evaluate its performance using a more extensive set of experimentally validated interactions in multiple A. thaliana datasets. We also perform comprehensive analyses to highlight and quantify the differences between subsets of miRNA–mRNA interactions in model and non-model organisms. Our results show increased sensitivity in A. thaliana when using the PAREameters inferred criteria and that using data-driven criteria enables the identification of additional interactions that further our understanding of the RNA silencing pathway in both model and non-model organisms.


2015 ◽  
Vol 156 (3) ◽  
pp. 241-251 ◽  
Author(s):  
Alexander Klenov ◽  
Kira C. M. Neller ◽  
Lydia A. Burns ◽  
Gabriela Krivdova ◽  
Katalin A. Hudak

2010 ◽  
Vol 5 (1) ◽  
pp. 67-90 ◽  
Author(s):  
Ming Zhou ◽  
Lianfeng Gu ◽  
Pingchuan Li ◽  
Xianwei Song ◽  
Liya Wei ◽  
...  

2014 ◽  
Vol 42 (W1) ◽  
pp. W119-W123 ◽  
Author(s):  
Patrick R. Wright ◽  
Jens Georg ◽  
Martin Mann ◽  
Dragos A. Sorescu ◽  
Andreas S. Richter ◽  
...  

BMC Genomics ◽  
2014 ◽  
Vol 15 (1) ◽  
pp. 15 ◽  
Author(s):  
Cheng-Yu Hou ◽  
Ming-Tsung Wu ◽  
Shin-Hua Lu ◽  
Yue-Ie Hsing ◽  
Ho-Ming Chen
Keyword(s):  

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