Open AccessSystems biology for crop improvement
Author(s) -
Pazhamala Lekha T.,
Kudapa Himabindu,
Weckwerth Wolfram,
Millar A. Harvey,
Varshney Rajeev K.
Publication year - 2021
Publication title -
the plant genome
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 41
ISSN - 1940-3372
DOI - 10.1002/tpg2.20098
Subject(s) - epigenome , systems biology , biology , context (archaeology) , computational biology , data integration , plant biology , metabolome , genomics , systems medicine , data science , microbiology and biotechnology , metabolomics , genome , bioinformatics , genetics , computer science , data mining , botany , paleontology , gene expression , gene , dna methylation
In recent years, generation of large‐scale data from genome, transcriptome, proteome, metabolome, epigenome, and others, has become routine in several plant species. Most of these datasets in different crop species, however, were studied independently and as a result, full insight could not be gained on the molecular basis of complex traits and biological networks. A systems biology approach involving integration of multiple omics data, modeling, and prediction of the cellular functions is required to understand the flow of biological information that underlies complex traits. In this context, systems biology with multiomics data integration is crucial and allows a holistic understanding of the dynamic system with the different levels of biological organization interacting with external environment for a phenotypic expression. Here, we present recent progress made in the area of various omics studies—integrative and systems biology approaches with a special focus on application to crop improvement. We have also discussed the challenges and opportunities in multiomics data integration, modeling, and understanding of the biology of complex traits underpinning yield and stress tolerance in major cereals and legumes.