| Autor: |
Yan Liang, Yuejia Yin, Xiangguo Liu, Xiaomeng Jin, Ruonan Li, Sijia Chen, Jiaxin Li, Lingling Chen, Jia Qian, Lin Li, Hongwei Zhang, Yonghao Sun, Linqian Han, Peng Tian, Ye Xinnan, Guo Chen, Jin Minliang, Jia-Wu Feng, Wanchao Zhu, Zhao Li, Yan Jianbing, Zimo Xiong, Zi Luo, Juan Li, Qing Li, Qixiao Jin, Xiaoduo Lu, Fang Yang, Yong Peng, Wanshun Zhong |
| Rok vydání: |
2020 |
| Předmět: |
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| Popis: |
Interactomes are powerful tools for encoding and decoding complex life systems. Here, we generated a maize interactome map that integrates genomic interactions, transcriptomic co-expression networks, translatomic co-expression networks, and protein–protein interactions throughout the maize lifecycle. This map, containing over 9 million interactions in more than 5,000 functional modules, reveals extensive functional divergence for duplicate genes and a progressive increase in regulatory divergence between the two maize subgenomes during the flow of genetic information. This network enables dissecting and validating gene functions, re-constructing regulatory pathways, and deciphering molecular mechanisms underlying complex traits combining big data mining technique-machine learning. By applying this map to flowering-time, we identified 1,843 high-confidence genes enriched in eight molecular pathways that are related to flowering time. The function of 30 (out of 58 tested) genes, including 27 novel genes, was verified by loss-of-function mutagenesis. Furthermore, a new pathway involving histone modification was identified and confirmed to regulate flowering time. The interactome map illustrates how coherent sets of molecular interactions connect different types of functional elements and pathway modules to map a genome-wide functional wiring landscape of maize, which will be applicable in a wide range of species. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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