Mass spectrometry-based proteomic landscape of rice reveals a post-transcriptional regulatory role of N 6 -methyladenosine.
Shang-Tong LiYunzhuo KeYunke ZhuTian-Yi ZhuHuanwei HuangLinxia LiZhiyang HouXuemin ZhangYaping LiChaofan LiuXiulan LiMengjia XieLianqi ZhouChen MengFaming WangXiaofeng GuBing YangHao YuZhe LiangPublished in: Nature plants (2024)
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.
Keyphrases
- mass spectrometry
- gene expression
- transcription factor
- liquid chromatography
- genome wide
- high resolution
- dna methylation
- protein protein
- poor prognosis
- amino acid
- machine learning
- gas chromatography
- oxidative stress
- genome wide identification
- artificial intelligence
- antibiotic resistance genes
- tandem mass spectrometry
- deep learning
- label free
- solid phase extraction