Mass spectrometry-based proteomic landscape of rice reveals a post-transcriptional regulatory role of N6-methyladenosine

Rice is one of the most important staple food and model species in plant biology, yet its quantitative proteomes are largely uncharacterized. Here we quantify the relative protein levels of over 15,000 genes across major rice tissues using a tandem mass tag strategy followed by intensive fractionati...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nature plants 2024-08, Vol.10 (8), p.1201-1214
Hauptverfasser: Li, Shang-Tong, Ke, Yunzhuo, Zhu, Yunke, Zhu, Tian-Yi, Huang, Huanwei, Li, Linxia, Hou, Zhiyang, Zhang, Xuemin, Li, Yaping, Liu, Chaofan, Li, Xiulan, Xie, Mengjia, Zhou, Lianqi, Meng, Chen, Wang, Faming, Gu, Xiaofeng, Yang, Bing, Yu, Hao, Liang, Zhe
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Rice is one of the most important staple food and model species in plant biology, yet its quantitative proteomes are largely uncharacterized. Here we quantify the relative protein levels of over 15,000 genes across major rice tissues using a tandem mass tag strategy followed by intensive fractionation and mass spectrometry. We identify tissue-specific and tissue-enriched proteins that are linked to the functional specificity of individual tissues. Proteogenomic comparison of rice and Arabidopsis reveals conserved proteome expression, which differs from mammals in that there is a strong separation of species rather than tissues. Notably, profiling of N 6 -methyladenosine (m 6 A) across the rice major tissues shows that m 6 A at untranslated regions is negatively correlated with protein abundance and contributes to the discordance between RNA and protein levels. We also demonstrate that our data are valuable for identifying novel genes required for regulating m 6 A methylation. Taken together, this study provides a paradigm for further research into rice proteogenome. This proteomic landscape study reveals proteins associated with the functional specificity of rice tissues, and further multi-omics analysis shows that N 6 -methyladenosine in untranslated regions is negatively correlated with protein abundance.
ISSN:2055-0278
2055-0278
DOI:10.1038/s41477-024-01745-5