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    Method for the measurement of ethylene during hypoxia in rice plants
    (Springer Nature Publishing AG, 2025) Jaiswal, Rekha; Gupta, Kapuganti Jagadis; Praveen, Afsana
    Ethylene is a versatile phytohormone that is involved in the regulation of both growth and development such as senescence, and also it can act as a signaling hormone during hypoxia. Ethylene acts alone or in interaction with different phytohormones and proteins to regulate numerous cellular processes. Accumulating evidence suggest that endogenous ethylene production and emission into atmosphere are modulated by various biotic and abiotic stresses. Since it is a gaseous hormone, a precise detection, particularly under low-oxygen (hypoxic) conditions, is important for understanding its role in regulatory processes and stress signaling pathways. Currently, measurement practices such as gas chromatography, electrochemical sensing, and optical sensing are widely employed to detect ethylene. These methods are distinct from each other in terms of sensitivity, time response, selectivity, and cost. However, each method has its own advantages and limitations. Gas chromatography (GC) is one of the best techniques that is applied for the separation and measurement of ethylene due to its volatile and supersensitive nature. In this chapter, we describe a detailed GC-based procedure specifically optimized for measuring ethylene levels during hypoxic stress application in (Oryza sativa) rice plants.
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    Metabolomic profiling reveals key factors and associated pathways regulating the differential behavior of rice (Oryza sativa L.) genotypes exposed to geogenic arsenic
    (Springer Nature Publishing AG, 2024) Saini, Himanshu; Panthri, Medha; Khan, Ehasanullah; Saxena, Samiksha; Pandey, Ashutosh; Gupta, Meetu
    Arsenic (As) toxicity is an escalating problem; however, information about the metabolic events controlling the varied pattern of As accumulation in rice genotypes within their natural environment is still lacking. The present study is thus an advancement in unravelling the response of such rice genotypes. Soil-water-rice samples were analyzed for As accumulation using ICP-MS. Furthermore, we implemented metabolomics through LC-MS/MS and UHPLC to identify metabolic signatures regulating As content by observing the metalloid's composition in rice agrosystem. Results showed that rice genotypes differed significantly in their levels of metabolites, with Mini mansoori and Pioneer having the highest levels. Mini mansoori contained least As which might have been regulated by Ala, Ser, Glu, Phe, Asn, His, Ile, Lys, Gln, Trp, Tyr, chlorogenic, p-coumaric, trans-ferulic, rutin, morin, naringenin, kampferol, and myricetin, while Asp, Arg, Met, syringic, epigalocatechin, and apigenin contributed to the greater As acclimatization ability of Pioneer. Multivariate tools separated the rice genotypes into two major clusters: Pioneer-Mini mansoori and Damini-Sampoorna-Chintu. KEGG identified three major metabolic pathways (aminoacyl-tRNA, phenylpropanoid, and secondary metabolites biosynthesis route) linked with As tolerance and adaptation mechanisms in rice. Overall, these two genotypes symbolize their As hostile and accommodating attitudes probably due to the accumulated metabolites and the physicochemical attributes of the soil-water. Thus, thorough understanding of the metabolic reactions to As may facilitate the emergence of As tolerant/resilient genotypes. This will aid in the selection of molecular markers to cultivate healthier rice genotypes in As-contaminated areas.
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    Complex networks reveal biological functions of START domains in rice: Insights from computational systems biology
    (Springer Nature Publishing AG, 2022) Mahtha, Sanjeet Kumar; Citu; Prasad, Abhishek; Yadav, Gitanjali
    With the advancement of high throughput technologies, there has been a massive surge in the omics data generation and there is a growing need to integrate this data gain insights into the patterns that shape biological interactions. Complex networks not only enable representation of such interactions, but also offer a mechanism for visualization and understanding of big data at a systems level. In this work, we use a complex network approach to investigate functions of the plant amplified StAR-related lipid transfer (START) domains in rice. We analyse the data at three levels; namely the transcriptome, proteome, and regulome. Each of these distinct datasets was superimposed after generation of the respective co-expression, protein-protein interaction, and gene regulatory networks for rice START genes, to reveal domain specific features in the family. This work thus serves as a protocol for network-based approaches to understand biological processes of genes and to complement experimental strategy.
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    Role of plant mediator complex in stress response
    (Springer, 2015) Samanta, Subhasis; Thakur, Jitendra K.
    Class II gene loci of eukaryotes are transcribed by RNA Polymerase II, which functions in coordination with several other proteins like transcription factors, general transcription factors, and cofactors. Recently, Mediator complex, a multi-subunit, megadalton size protein complex has gained lots of attention as an important component of RNA pol II transcriptional machinery because of its essentiality in the regulation of most of the class II genes. Like yeast and other metazoans, plants also possess the Mediator complex across the kingdom, and its isolation and subunit analyses have been reported from the model plant, Arabidopsis. Recent times have experienced a flurry of scientific papers containing the functional information of individual Mediator subunits in plants, although many were reported earlier without consideration of their association with the Mediator complex. Among its diverse functional aspects, several reports have established the Mediator complex as an important integrative hub of different biotic and abiotic stress signaling pathways, which have been discussed in this chapter from the functional genomics perspectives. Although reports are emerging in support of its inclusion as a component of the basic transcriptional machinery, the gene selective roles of the individual Mediator subunits are proven and indisputably accepted.