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Integration of multi-omics data accelerates molecular analysis of common wheat traits

Nature Communications. 2025-03; 
Ning Zhang, Li Tang, Songgang Li, Lu Liu, Mengjuan Gao, Sisheng Wang, Daiying Chen, Yichao Zhao, Ruiqing Zheng, Armin Soleymaniniya, Lingran Zhang, Wenkang Wang, Xia Yang, Yan Ren, Congwei Sun, Mathias Wilhelm, Daowen Wang, Min Li, Feng Chen Henan Agricultural University
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Molecular Biology Tools Subcellular localization was predicted using WoLFPSORT (http://www.genscript.com/wolf-psort.html). Protein pathways were annotated using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database66; P < 0.05 (p.adjust/FDR < 0.05) was the threshold for pathway significance. Get A Quote

摘要

Integration of multi-omics data can provide information on biomolecules from different layers to illustrate the complex biology systematically. Here, we build a multi-omics atlas containing 132,570 transcripts, 44,473 proteins, 19,970 phosphoproteins, and 12,427 acetylproteins across wheat vegetative and reproductive phases. Using this atlas, we elucidate transcriptional regulation network, contributions of post-translational modification (PTM) and transcript level to protein abundance, and biased homoeolog expression and PTM in wheat. The genes/proteins related to wheat development and disease resistance are systematically analyzed, thus identifying phosphorylation and/or acetylation modifications for the seed... More

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