Multi-omics assisted breeding for biotic stress resistance in soybean.
Ashita BishtDinesh Kumar SainiBaljeet KaurRitu BatraSandeep KaurIshveen KaurSuruchi JindalPalvi MalikPawanjit Kaur SandhuAmandeep KaurBalwinder Singh GillShabir Hussain WaniBalwinder KaurReyazul Rouf MirKaransher Singh SandhuKadambot H M SiddiquePublished in: Molecular biology reports (2023)
Biotic stress is a critical factor limiting soybean growth and development. Soybean responses to biotic stresses such as insects, nematodes, fungal, bacterial, and viral pathogens are governed by complex regulatory and defense mechanisms. Next-generation sequencing has availed research techniques and strategies in genomics and post-genomics. This review summarizes the available information on marker resources, quantitative trait loci, and marker-trait associations involved in regulating biotic stress responses in soybean. We discuss the differential expression of related genes and proteins reported in different transcriptomics and proteomics studies and the role of signaling pathways and metabolites reported in metabolomic studies. Recent advances in omics technologies offer opportunities to reshape and improve biotic stress resistance in soybean by altering gene regulation and/or other regulatory networks. We suggest using 'integrated omics' to precisely understand how soybean responds to different biotic stresses. We also discuss the potential challenges of integrating multi-omics for the functional analysis of genes and their regulatory networks and the development of biotic stress-resistant cultivars. This review will help direct soybean breeding programs to develop resistance against different biotic stresses.
Keyphrases
- single cell
- genome wide
- transcription factor
- stress induced
- signaling pathway
- healthcare
- sars cov
- gene expression
- high resolution
- ms ms
- dna methylation
- oxidative stress
- copy number
- risk assessment
- antimicrobial resistance
- social media
- human health
- climate change
- case control
- health information
- genome wide association study
- circulating tumor cells
- genome wide analysis