Evidence map›Paper›PMID 38376571›Full record

ArticleMolecular biology reports2024

Assessment of physio-biochemical assessment and gene expression analysis of sugarcane genotypes under water stress.

Varsha Rani, R S Sengar, Chetan Chauhan

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Article in Molecular biology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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3 authors.

Varsha RaniDepartment of Agricultural Biotechnology, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, 250110, India.
R S SengarDepartment of Agricultural Biotechnology, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, 250110, India. sengarbiotech7@gmail.com.
Chetan ChauhanDepartment of Floriculture and Landscaping Architecture, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, 250110, India.

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6 · The paper itself

Abstract

backgroundSugarcane, an economically important crop cultivated for its unique character of accumulating sucrose into its stalk and the world's major crop according to production quantity. Sugarcane production is negatively influenced by abiotic stresses because it faces all types of environments due to its long-life cycle period. Among the various abiotic stresses, drought is one of the major limiting factors creates obstacle in sugarcane production. Thus, an attempt was made to assess the molecular insights into sugarcane genotypes under water stress. A preliminary screening was done in ten sugarcane genotypes grown under semi-arid region of India through physiological, biochemical and antioxidant responses of these genotypes under two water deficit levels.

methodsIn the current study, drought was imposed on ten sugarcane genotypes during their formative stage (110 DAP) by depriving them of irrigation. A pot experiment was carried out to see how several commercial sugarcane genotypes responded to water scarcity. Sugarcane received two treatments, the first after 125 days and the second after 140 days. The physio-biochemical and antioxidant responses recorded were RWC, MSI, SCMR, Proline accumulation, SOD, Catalase, Peroxidase and Lipid peroxidation. The significant variations were recorded in responses of all genotypes. On the basis of physio-biochemical, three genotypes Cos 98,014, Cos 13,235 and Colk 14,201 were selected for differential gene expression pattern analysis. The total RNA was isolated and reverse transcribe to cDNA and real time PCR was performed for expression analysis under 10 genes.

resultsUnder drought conditions, all sugarcane genotypes showed significantly decreased RWC, chlorophyll content, and MSI. However, when water was scarce, proline buildup, malondialdehyde (MDA) contents, enzymatic antioxidant activity (CAT, POD, and SOD), and contents all increased dramatically. Finally, in all physiological and biochemical parameters, Co 98,014 genotype displayed superior adaptation responses to drought stress, followed by Co 018, Cos 13,235, and Colk 14,201. For gene expression analysis out of 21 genes, 10 genes were expressed in sugarcane genotypes, in which 7 genes (Shbbx2, Shbbx3, Shbbx4, Shbbx5, Shbbx8, Shbbx15 and Shbbx20) were upregulated and 3 genes (Shbbx1, Shbbx16 and Shbbx17) were downregulated.

conclusionThe statistical analysis conducted in this study demonstrated that drought stress had a negative impact on physiological responses, including RWC, SPAD, and MSI, in sugarcane crops. However, it was found that the crops were able to survive in these stress conditions by increasing their biochemical parameters, all while maintaining their growth and function.

Indexed as

SaccharumAntioxidantsCrops, AgriculturalDehydrationGene Expression ProfilingGenotypeProlineSuperoxide DismutaseAntioxidantsProlineSuperoxide DismutaseAbiotic StressAntioxidant DefenseDrought ToleranceGene ExpressionOxidative StressSugarcane

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.