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A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

Overview of attention for article published in Genome Biology, March 2023
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Title
A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize
Published in
Genome Biology, March 2023
DOI 10.1186/s13059-023-02890-4
Pubmed ID
Authors

Wanchao Zhu, Xinxin Miao, Jia Qian, Sijia Chen, Qixiao Jin, Mingzhu Li, Linqian Han, Wanshun Zhong, Dan Xie, Xiaoyang Shang, Lin Li

Abstract

Maize (Zea mays L.) is one of the most important crops worldwide. Although sophisticated maize gene regulatory networks (GRNs) have been constructed for functional genomics and phenotypic dissection, a multi-omics GRN connecting the translatome and transcriptome is lacking, hampering our understanding and exploration of the maize regulatome. We collect spatio-temporal translatome and transcriptome data and systematically explore the landscape of gene transcription and translation across 33 tissues or developmental stages of maize. Using this comprehensive transcriptome and translatome atlas, we construct a multi-omics GRN integrating mRNAs and translated mRNAs, demonstrating that translatome-related GRNs outperform GRNs solely using transcriptomic data and inter-omics GRNs outperform intra-omics GRNs in most cases. With the aid of the multi-omics GRN, we reconcile some known regulatory networks. We identify a novel transcription factor, ZmGRF6, which is associated with growth. Furthermore, we characterize a function related to drought response for the classic transcription factor ZmMYB31. Our findings provide insights into spatio-temporal changes across maize development at both the transcriptome and translatome levels. Multi-omics GRNs represent a useful resource for dissection of the regulatory mechanisms underlying phenotypic variation.

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Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Student > Master 3 19%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Other 1 6%
Other 2 13%
Unknown 4 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 56%
Biochemistry, Genetics and Molecular Biology 2 13%
Unknown 5 31%