Super-resolution ribosome profiling reveals unannotated translation events in Arabidopsis.

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Hsu, PY; Calviello, L; Wu, H-YL; Li, F-W; Rothfels, CJ; Ohler, U; Benfey, PN

Published Date

  • November 8, 2016

Published In

Volume / Issue

  • 113 / 45

Start / End Page

  • E7126 - E7135

PubMed ID

  • 27791167

Pubmed Central ID

  • 27791167

Electronic International Standard Serial Number (EISSN)

  • 1091-6490

Digital Object Identifier (DOI)

  • 10.1073/pnas.1614788113

Language

  • eng

Conference Location

  • United States