It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Upstream open reading frames (uORFs) play widespread regulatory functions in modulating mRNA translation in eukaryotes, but the principles underlying the genomic distribution and evolution of uORFs remain poorly understood. Here, we analyze ~17 million putative canonical uORFs in 478 eukaryotic species that span most of the extant taxa of eukaryotes. We demonstrate how positive and purifying selection, coupled with differences in effective population size (Ne), has shaped the contents of uORFs in eukaryotes. Besides, gene expression level is important in influencing uORF occurrences across genes in a species. Our analyses suggest that most uORFs might play regulatory roles rather than encode functional peptides. We also show that the Kozak sequence context of uORFs has evolved across eukaryotic clades, and that noncanonical uORFs tend to have weaker suppressive effects than canonical uORFs in translation regulation. This study provides insights into the driving forces underlying uORF evolution in eukaryotes.
Upstream open reading frames (uORFs) have widespread regulatory functions in eukaryotes, their genomic distribution and evolution is understudied. Here, the authors characterise ~17 million putative uORFs across 478 eukaryotic species, showing how evolution has shaped uORF contents and distribution.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details





1 Peking University, State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Beijing, China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319)
2 Peking University, State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Beijing, China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319); Hunan University, College of Biology, Changsha, China (GRID:grid.67293.39)