Computational prediction-combined proteogenomics unveils widespread non-AUG translation initiation events in plants

Non-AUG translation initiation can generate N-terminally extended proteoforms, contributing to proteome complexity and regulatory diversity. While well characterized in mammals, its identification in plants remains limited, hindering both functional investigations and cross-species comparisons. Here, we applied a computational prediction-combined proteogenomic strategy to systematically explore non-AUG translation initiation events in the monocots maize and rice and the dicot soybean, identifying 879 transcripts potentially producing 3 938 N-terminally extended proteoforms. These events exhibited both conserved and lineage-specific mechanistic features, including stable RNA secondary structures flanking upstream translation initiation sites (uTISs), codon and sequence context preferences between monocot and dicot species, and a lack of evolutionary conservation. Plant N-terminal extensions were predicted to encode diverse targeting signals, implicating them in subcellular localization and functional diversification. Comparative analysis revealed both conserved trends and plant-specific features relative to humans. Collectively, this study provides a foundational resource and conceptual framework to advance understanding of plant non-AUG translation within a cross-kingdom evolutionary context. It also offers new opportunities to elucidate the roles of non-AUG translation in regulatory networks, proteome diversification, and adaptive biological functions across eukaryotic systems.

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Publication Details

Journal
Nucleic Acids Research
Published
2026-04-13
DOI
https://doi.org/10.1093/nar/gkag303
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
0.00

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article

Computational prediction-combined proteogenomics unveils widespread non-AUG translation initiation events in plants

Lei Tian, Liuji Wu, Xicheng Zhang, Hanxue Zhang et al.
Nucleic Acids Research
RNA and protein synthesis mechanisms
article

Computational prediction-combined proteogenomics unveils widespread non-AUG translation initiation events in plants

Lei Tian, Liuji Wu, Xicheng Zhang, Hanxue Zhang, Shunxi Wang, Yuqian Zhang, Luo Weiwei, Huina Zhao, Baiyang Chang, Shubiao Wu
article en

Abstract

Non-AUG translation initiation can generate N-terminally extended proteoforms, contributing to proteome complexity and regulatory diversity. While well characterized in mammals, its identification in plants remains limited, hindering both functional investigations and cross-species comparisons. Here, we applied a computational prediction-combined proteogenomic strategy to systematically explore non-AUG translation initiation events in the monocots maize and rice and the dicot soybean, identifying 879 transcripts potentially producing 3 938 N-terminally extended proteoforms. These events exhibited both conserved and lineage-specific mechanistic features, including stable RNA secondary structures flanking upstream translation initiation sites (uTISs), codon and sequence context preferences between monocot and dicot species, and a lack of evolutionary conservation. Plant N-terminal extensions were predicted to encode diverse targeting signals, implicating them in subcellular localization and functional diversification. Comparative analysis revealed both conserved trends and plant-specific features relative to humans. Collectively, this study provides a foundational resource and conceptual framework to advance understanding of plant non-AUG translation within a cross-kingdom evolutionary context. It also offers new opportunities to elucidate the roles of non-AUG translation in regulatory networks, proteome diversification, and adaptive biological functions across eukaryotic systems.

Nucleic Acids ResearchVol. 54(7)
Yunnan University (CN), Yunnan Agricultural University (CN), Henan Agricultural University (CN), University of New England (AU)
National Natural Science Foundation of China, National Key Research and Development Program of China
Life in Land
Openalex Percentile: Top 9%
RNA and protein synthesis mechanisms
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