Multi-omics assisted breeding for biotic stress resistance in soybean

Ashita Bisht, Dinesh Kumar Saini, Baljeet Kaur, Ritu Batra, Sandeep Kaur, Ishveen Kaur, Suruchi Jindal, Palvi Malik, Pawanjit Kaur Sandhu, Amandeep Kaur, Balwinder Singh Gill, Shabir Hussain Wani, Balwinder Kaur, Reyazul Rouf Mir, Karansher Singh Sandhu, Kadambot H M Siddique.

Mol Biol Rep.; 2023 Apr; 50(4): 3787-3814. doi: 10.1007/s11033-023-08260-4.

Abstract

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.

See https://pubmed.ncbi.nlm.nih.gov/36692674/