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Multi-omics assisted breeding for biotic stress resistance in soybean.
Bisht, Ashita; Saini, Dinesh Kumar; Kaur, Baljeet; Batra, Ritu; Kaur, Sandeep; Kaur, Ishveen; Jindal, Suruchi; Malik, Palvi; Sandhu, Pawanjit Kaur; Kaur, Amandeep; Gill, Balwinder Singh; Wani, Shabir Hussain; Kaur, Balwinder; Mir, Reyazul Rouf; Sandhu, Karansher Singh; Siddique, Kadambot H M.
Affiliation
  • Bisht A; Department of Plant Breeding and Genetics, Punjab Agricultural University, 141004, Ludhiana, India.
  • Saini DK; CSK Himachal Pradesh Krishi Vishvavidyalaya, Highland Agricultural Research and Extension Centre, 175142, Kukumseri, Lahaul and Spiti, India.
  • Kaur B; Department of Plant Breeding and Genetics, Punjab Agricultural University, 141004, Ludhiana, India. dineshsaini96344@gmail.com.
  • Batra R; Department of Plant Breeding and Genetics, Punjab Agricultural University, 141004, Ludhiana, India.
  • Kaur S; Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, 25004, Meerut, India.
  • Kaur I; Department of Plant Breeding and Genetics, Punjab Agricultural University, 141004, Ludhiana, India.
  • Jindal S; Agriculture, Environmental and Sustainability Sciences, College of sciences, University of Texas Rio Grande Valley, 78539, Edinburg, TX, USA.
  • Malik P; Division of Molecular Biology and Genetic Engineering, School of Bioengineering and Biosciences, Lovely Professional University, Phagwara, India.
  • Sandhu PK; , Gurdev Singh Khush Institute of Genetics, Plant Breeding and Biotechnology, Punjab Agricultural University,, 141004, Ludhiana, India.
  • Kaur A; Department of Chemistry, University of British Columbia, V1V 1V7, Okanagan, Kelowna, Canada.
  • Gill BS; Division of Molecular Biology and Genetic Engineering, School of Bioengineering and Biosciences, Lovely Professional University, Phagwara, India.
  • Wani SH; Department of Plant Breeding and Genetics, Punjab Agricultural University, 141004, Ludhiana, India.
  • Kaur B; MRCFC Khudwani, Sher-e-Kashmir University of Agricultural Sciences and Technology, Kashmir, Shalimar, India.
  • Mir RR; Department of Entomology, UF/IFAS Research and Education Center, 33430, Belle Glade, Florida, USA.
  • Sandhu KS; Division of Genetics and Plant Breeding, Faculty of Agriculture, SKUAST-Kashmir, 193201, India.
  • Siddique KHM; Department of Crop and Soil Sciences, Washington State University, 99163, Pullman, WA, USA. k.sandhu@wsu.edu.
Mol Biol Rep ; 50(4): 3787-3814, 2023 Apr.
Article in En | MEDLINE | ID: mdl-36692674
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Glycine max / Multiomics Language: En Journal: Mol Biol Rep Year: 2023 Document type: Article Affiliation country:
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Glycine max / Multiomics Language: En Journal: Mol Biol Rep Year: 2023 Document type: Article Affiliation country: