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Choudhary R, Ahmad F, Kaya C, Upadhyay SK, Muneer S, Kumar V, Meena M, Liu H, Upadhyaya H, Seth CS. Decrypting proteomics, transcriptomics, genomics, and integrated omics for augmenting the abiotic, biotic, and climate change stress resilience in plants. JOURNAL OF PLANT PHYSIOLOGY 2025; 305:154430. [PMID: 39832424 DOI: 10.1016/j.jplph.2025.154430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 12/23/2024] [Accepted: 01/08/2025] [Indexed: 01/22/2025]
Abstract
As our planet faces increasing environmental challenges, such as biotic pressures, abiotic stressors, and climate change, it is crucial to understand the complex mechanisms that underlie stress responses in crop plants. Over past few years, the integration of techniques of proteomics, transcriptomics, and genomics like LC-MS, IT-MS, MALDI-MS, DIGE, ESTs, SAGE, WGS, GWAS, GBS, 2D-PAGE, CRISPR-Cas, cDNA-AFLP, HLS, HRPF, MPSS, CAGE, MAS, IEF, MudPIT, SRM/MRM, SWATH-MS, ESI have significantly enhanced our ability to comprehend the molecular pathways and regulatory networks, involved in balancing the ecosystem/ecology stress adaptation. This review offers thorough synopsis of the current research on utilizing these multi-omics methods (including metabolomics, ionomics) for battling abiotic (salinity, temperature (chilling/freezing/cold/heat), flood (hypoxia), drought, heavy metals/loids), biotic (pathogens like fungi, bacteria, virus, pests, and insects (aphids, caterpillars, moths, mites, nematodes) and climate change stress (ozone, ultraviolet radiation, green house gases, carbon dioxide). These strategies can expedite crop improvement, and act as powerful tools with high throughput and instant database generation rates. They also provide a platform for interpreting intricate, systematic signalling pathways and knowing how different environmental stimuli cause phenotypic responses at cellular and molecular level by changing the expression of stress-responsive genes like RAB18, KIN1, RD29B, OsCIPK03, OsSTL, SIAGL, bZIP, SnRK, ABF. This review discusses various case studies that exemplify the successful implementation of these omics tools to enhance stress tolerance in plants. Finally, it highlights challenges and future prospects of utilizing these approaches in combating stress, emphasizing the need for interdisciplinary collaborations and bio-technological advancements for sustainable agriculture and food security.
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Affiliation(s)
- Rashmi Choudhary
- Department of Botany, University of Delhi, New Delhi, 110007, Delhi, India.
| | - Faheem Ahmad
- Department of Botany, Aligarh Muslim University, Aligarh, 202002, Uttar Pradesh, India.
| | - Cengiz Kaya
- Soil Science and Plant Nutrition Department, Harran University, Sanliurfa, Turkey.
| | - Sudhir Kumar Upadhyay
- Department of Environmental Science, Veer Bahadur Singh Purvanchal University, Jaunpur, 222003, Uttar Pradesh, India.
| | - Sowbiya Muneer
- Department of Horticulture and Food Science, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
| | - Vinod Kumar
- Department of Botany, Government College for Women Gandhi Nagar, Jammu, 180004, Jammu & Kashmir, India.
| | - Mukesh Meena
- Department of Botany, Mohanlal Sukhadia University, Udaipur, 313001, Rajasthan, India.
| | - Haitao Liu
- College of Resources and Environment, Henan Agricultural University, Zhengzhou, 450046, PR China.
| | - Hrishikesh Upadhyaya
- Department of Botany, Cotton University, Pan Bazaar, Guwahati, 781001, Assam, India.
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Kandel SL, Eide JD, Firrincieli A, Finger FL, Lafta AM, Fugate KK. Sugar beet root susceptibility to storage rots and downregulation of plant defense genes increases with time in storage. Sci Rep 2024; 14:27235. [PMID: 39516509 PMCID: PMC11549380 DOI: 10.1038/s41598-024-78323-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 10/30/2024] [Indexed: 11/16/2024] Open
Abstract
Storage rots are a significant cause of postharvest losses for the sugar beet crop, however, intrinsic physiological and genetic factors that determine the susceptibility of roots to pathogen infection and disease development are unknown. Research, therefore, was carried out to evaluate the disease development in sugar beet roots caused by two common storage pathogens as a function of storage duration and storage temperature, and to identify changes in the expression of defense genes that may be influencing the root susceptibility to disease. To evaluate root susceptibility to disease, freshly harvested roots were inoculated with Botrytis cinerea or Penicillium vulpinum on the day of harvest or after 12, 40, or 120 d storage at 5 or 12 °C and the weight of rotted tissue present in the roots after incubation for 35 d after inoculation were determined. Disease susceptibility and progression to B. cinerea and P. vulpinum increased with storage duration with elevations in susceptibility occurring more rapidly to B. cinerea than P. vulpinum. Also, B. cinerea was more aggressive than P. vulpinum and caused greater rotting and tissue damage in postharvest sugar beet roots. Storage temperature had minimal effect on root susceptibility to these rot-causing pathogens. Changes in defense gene expression were determined by sequencing mRNA isolated from uninoculated roots that were similarly stored for 12, 40 or 120 d at 5 or 12 °C. As susceptibility to rot increased during storage, concurrent changes in defense-related gene expression were identified, including the differential expression of 425 pathogen receptor and 275 phytohormone signal transduction pathway-related genes. Furthermore, plant resistance and hormonal signaling genes that were significantly altered in expression coincident with the change in root susceptibility to storage rots were identified. Further investigation into the function of these genes may ultimately elucidate methods by which storage rot resistance in sugar beet roots may be improved in the future.
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Affiliation(s)
- Shyam L Kandel
- Edward T. Schafer Agricultural Research Center, Sugarbeet Research Unit, USDA-ARS, Fargo, ND, 58102, USA.
| | - John D Eide
- Edward T. Schafer Agricultural Research Center, Sugarbeet Research Unit, USDA-ARS, Fargo, ND, 58102, USA
| | - Andrea Firrincieli
- Department for Innovation in Biological, Agro-Food and Forest Systems, University of Tuscia, Viterbo, Italy
| | - Fernando L Finger
- Departamento de Agronomia, Universidade Federal de Vicosa, 36570-900, Vicosa, MG, Brazil
| | - Abbas M Lafta
- Department of Plant Pathology, North Dakota State University, P.O. Box 6050, Fargo, ND, 58108, USA
| | - Karen K Fugate
- Edward T. Schafer Agricultural Research Center, Sugarbeet Research Unit, USDA-ARS, Fargo, ND, 58102, USA
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Li X, Li Y, Wei A, Wang Z, Huang H, Huang Q, Yang L, Gao Y, Zhu G, Liu Q, Li Y, Wei S, Wei D. Integrated transcriptomic and proteomic analyses of two sugarcane (Saccharum officinarum Linn.) varieties differing in their lodging tolerance. BMC PLANT BIOLOGY 2023; 23:601. [PMID: 38030995 PMCID: PMC10685470 DOI: 10.1186/s12870-023-04622-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 11/20/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Lodging seriously affects sugarcane stem growth and sugar accumulation, reduces sugarcane yield and sucrose content, and impedes mechanization. However, the molecular mechanisms underlying sugarcane lodging tolerance remain unclear. In this study, comprehensive transcriptomic and proteomic analyses were performed to explore the differential genetic regulatory mechanisms between upright (GT42) and lodged (GF98-296) sugarcane varieties. RESULTS The stain test showed that GT42 had more lignin and vascular bundles in the stem than GF98-296. The gene expression analysis revealed that the genes that were differentially expressed between the two varieties were mainly involved in the phenylpropanoid pathway at the growth stage. The protein expression analysis indicated that the proteins that were differentially expressed between the two varieties were related to the synthesis of secondary metabolites, the process of endocytosis, and the formation of aminoacyl-tRNA. Time-series analysis revealed variations in differential gene expression patterns between the two varieties, whereas significant protein expression trends in the two varieties were largely consistent, except for one profile. The expression of CYP84A, 4CL, and CAD from the key phenylpropanoid biosynthetic pathway was enhanced in GT42 at stage 2 but suppressed in GF98-296 at the growth stage. Furthermore, the expression of SDT1 in the nicotinate and nicotinamide metabolism was enhanced in GT42 cells but suppressed in GF98-296 cells at the growth stage. CONCLUSION Our findings provide reference data for mining lodging tolerance-related genes that are expected to facilitate the selective breeding of sugarcane varieties with excellent lodging tolerance.
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Affiliation(s)
- Xiang Li
- Guangxi Subtropical Crops Research Institute, Nanning, 530002, China
- Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Afairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement /Sugarcane Research InstituteGuangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Yijie Li
- Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Afairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement /Sugarcane Research InstituteGuangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Ailin Wei
- Baise Institue of Agricultural Sciences, Baise, 533612, China
| | - Zeping Wang
- Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Afairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement /Sugarcane Research InstituteGuangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Hairong Huang
- Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Afairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement /Sugarcane Research InstituteGuangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Quyan Huang
- Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
- Biotechnology Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Litao Yang
- Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Yijing Gao
- Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Afairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement /Sugarcane Research InstituteGuangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Guanghu Zhu
- Center for Applied Mathematics of Guangxi (GUET), Guilin, 541004, China
| | - Qihuai Liu
- Center for Applied Mathematics of Guangxi (GUET), Guilin, 541004, China
| | - Yangrui Li
- Guangxi Academy of Agricultural Sciences, Nanning, 530007, China.
- Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Afairs, Guangxi Key Laboratory of Sugarcane Genetic Improvement /Sugarcane Research InstituteGuangxi Academy of Agricultural Sciences, Nanning, 530007, China.
| | - Shaolong Wei
- Guangxi Subtropical Crops Research Institute, Nanning, 530002, China.
- Guangxi Academy of Agricultural Sciences, Nanning, 530007, China.
| | - Debin Wei
- Baise Institue of Agricultural Sciences, Baise, 533612, China.
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Verma K, Song XP, Yadav G, Degu HD, Parvaiz A, Singh M, Huang HR, Mustafa G, Xu L, Li YR. Impact of Agroclimatic Variables on Proteogenomics in Sugar Cane ( Saccharum spp.) Plant Productivity. ACS OMEGA 2022; 7:22997-23008. [PMID: 35847309 PMCID: PMC9280927 DOI: 10.1021/acsomega.2c01395] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Sugar cane (Saccharum spp. hybrids) is a major crop for sugar and renewable bioenergy worldwide, grown in arid and semiarid regions. China, the world's fourth-largest sugar producer after Brazil, India, and the European Union, all share ∼80% of the global production, and the remaining ∼20% of sugar comes from sugar beets, mostly grown in the temperate regions of the Northern Hemisphere, also used as a raw material in production of bioethanol for renewable energy. In view of carboxylation strategies, sugar cane qualifies as one of the best C4 crop. It has dual CO2 concentrating mechanisms located in its unique Krantz anatomy, having dimorphic chloroplasts located in mesophylls and bundle sheath cells for integrated operation of C4 and C3 carbon fixation cycles, regulated by enzymes to upgrade/sustain an ability for improved carbon assimilation to acquire an optimum carbon economy by producing enhanced plant biomass along with sugar yield under elevated temperature and strong irradiance with improved water-use efficiency. These superior intrinsic physiological carbon metabolisms encouraged us to reveal and recollect the facts for moving ahead with the molecular approaches to reveal the expression of proteogenomics linked with plant productivity under abiotic stress during its cultivation in specific agrizones globally.
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Affiliation(s)
- Krishan
K. Verma
- Sugarcane
Research Institute, Guangxi Academy of Agricultural Sciences/, Key
Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi
Key Laboratory of Sugarcane Genetic Improvement Nanning, 530007 Guangxi, China
| | - Xiu-Peng Song
- Sugarcane
Research Institute, Guangxi Academy of Agricultural Sciences/, Key
Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi
Key Laboratory of Sugarcane Genetic Improvement Nanning, 530007 Guangxi, China
| | - Garima Yadav
- Department
of Botany, University of Lucknow, Lucknow 226 007, India
| | - Hewan Demissie Degu
- College
of Agriculture, School of Plant and Horticulture Science Plant Biotechnology, Hawassa University, Sidama, Hawassa 05, Ethiopia
| | - Aqsa Parvaiz
- Centre
of Agricultural Biochemistry and Biotechnology (CABB), University of Agriculture FaisalabadFaisalabad 38000, Pakistan
| | - Munna Singh
- Department
of Botany, University of Lucknow, Lucknow 226 007, India
| | - Hai-Rong Huang
- Sugarcane
Research Institute, Guangxi Academy of Agricultural Sciences/, Key
Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi
Key Laboratory of Sugarcane Genetic Improvement Nanning, 530007 Guangxi, China
| | - Ghulam Mustafa
- Centre
of Agricultural Biochemistry and Biotechnology (CABB), University of Agriculture FaisalabadFaisalabad 38000, Pakistan
| | - Lin Xu
- Sugarcane
Research Institute, Guangxi Academy of Agricultural Sciences/, Key
Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi
Key Laboratory of Sugarcane Genetic Improvement Nanning, 530007 Guangxi, China
| | - Yang-Rui Li
- Sugarcane
Research Institute, Guangxi Academy of Agricultural Sciences/, Key
Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs/Guangxi
Key Laboratory of Sugarcane Genetic Improvement Nanning, 530007 Guangxi, China
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