TY - JOUR
T1 - Multi-omics assisted breeding for biotic stress resistance in soybean
AU - Bisht, Ashita
AU - Saini, Dinesh Kumar
AU - Kaur, Baljeet
AU - Batra, Ritu
AU - Kaur, Sandeep
AU - Kaur, Ishveen
AU - Jindal, Suruchi
AU - Malik, Palvi
AU - Sandhu, Pawanjit Kaur
AU - Kaur, Amandeep
AU - Gill, Balwinder Singh
AU - Wani, Shabir Hussain
AU - Kaur, Balwinder
AU - Mir, Reyazul Rouf
AU - Sandhu, Karansher Singh
AU - Siddique, Kadambot H.M.
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Nature B.V.
PY - 2023/4
Y1 - 2023/4
N2 - 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.
AB - 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.
KW - Biotic stress
KW - Genomics
KW - Integrated omics
KW - Phenomics
KW - Proteomics
KW - Resistance
UR - http://www.scopus.com/inward/record.url?scp=85146769673&partnerID=8YFLogxK
U2 - 10.1007/s11033-023-08260-4
DO - 10.1007/s11033-023-08260-4
M3 - Review article
C2 - 36692674
AN - SCOPUS:85146769673
SN - 0301-4851
VL - 50
SP - 3787
EP - 3814
JO - Molecular Biology Reports
JF - Molecular Biology Reports
IS - 4
ER -