Super-resolution ribosome profiling reveals unannotated translation events in Arabidopsis

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Item Type:	Article
Title:	Super-resolution ribosome profiling reveals unannotated translation events in Arabidopsis
Creators Name:	Hsu, P.Y., Calviello, L., Wu, H.Y.L., Li, F.W., Rothfels, C.J., Ohler, U. and Benfey, P.N.
Abstract:	Deep sequencing of ribosome footprints (ribosome profiling) maps and quantifies mRNA translation. Because ribosomes decode mRNA every 3 nt, the periodic property of ribosome footprints could be used to identify novel translated ORFs. However, due to the limited resolution of existing methods, the 3-nt periodicity is observed mostly in a global analysis, but not in individual transcripts. Here, we report a protocol applied to Arabidopsis that maps over 90% of the footprints to the main reading frame and thus offers super-resolution profiles for individual transcripts to precisely define translated regions. The resulting data not only support many annotated and predicted noncanonical translation events but also uncover small ORFs in annotated noncoding RNAs and pseudogenes. A substantial number of these unannotated ORFs are evolutionarily conserved, and some produce stable proteins. Thus, our study provides a valuable resource for plant genomics and an efficient optimization strategy for ribosome profiling in other organisms.
Keywords:	Translation, Ribosome Footprint, Ribo-seq, ncRNA, sORF
Source:	Proceedings of the National Academy of Sciences of the United States of America
ISSN:	0027-8424
Publisher:	National Academy of Sciences
Volume:	113
Number:	45
Page Range:	E7126-E7135
Date:	8 November 2016
Official Publication:	https://doi.org/10.1073/pnas.1614788113
PubMed:	View item in PubMed

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