AUTHOR=Zhang Ru , Zhang Cuiping , Yu Chengyu , Dong Jungang , Hu Jihong 
  
TITLE=Integration of multi-omics technologies for crop improvement: Status and prospects
  
JOURNAL=Frontiers in Bioinformatics
  
VOLUME=Volume 2 - 2022
  
YEAR=2022
  
URL=https://www.frontiersin.org/journals/bioinformatics/articles/10.3389/fbinf.2022.1027457
  
DOI=10.3389/fbinf.2022.1027457
  
ISSN=2673-7647
  
ABSTRACT=With the rapid development of next-generation sequencing (NGS), multi-omics techniques have been emerging as effective approaches for crop improvement. Here, we focus mainly on addressing the current status and future perspectives towards omics-related technologies, bioinformatic resources with potential applications in crop breeding. Using large amount of omics-level data from the functional genome, transcriptome, proteome, epigenome, metabolome and microbiome, clarifying the interaction between gene and phenotype formation will become possible. The integration of multi-omics datasets with pan-omics platform and systems biology could predict the complex traits of crops and elucidate the regulatory regulating networks for genetic improvement. Different scales of trait predictions and decision-making models will facilitate the crop breeding more intelligent. Potential challenges that integrate the multi-omics data with studies of gene function and their network to efficiently select desirable agronomic traits are discussed with proposing some cutting edge breeding strategies for crop improvement. Multi-omics-integrated approaches together with other artificial intelligence techniques will contribute to broaden and deepen our knowledge for crop precision breeding, resulting in speed up the breeding process.