Transcriptomics in response of biotic stress in plants

Soniya, E. V.; Asha, S; Menon, Athira; Kattupalli, Divya

doi:10.1016/b978-0-323-91810-7.00018-2

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Application Of Omics Technologies To Understand Plant Respon...1

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2024

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Cited by 2 publications

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“…Since the development of next-generation sequencing (NGS), transcriptomics has been much more widely used to gain insight into the molecular mechanisms by which plant species respond to biotic and abiotic stresses (Kang et al 2020). For example, NGS studies have revealed the potential role of genes related to jasmonic acid, ethylene, peroxidase, and the phenylpropanoid pathway in response to bacterial infections (Soniya et al 2022). Jasmonic acid mediated resistance was detected as the critical component of defense against fungus F. fujikuroi in rice plants (Cheng et al 2020).…”

Section: Application Of Omics Technologies To Understand Plant Respon...mentioning

confidence: 99%

Elucidating the molecular mechanisms underlying grassland species in response to more persistent precipitation regimes

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Section: Application Of Omics Technologies To Understand Plant Respon...mentioning

confidence: 99%

Elucidating the molecular mechanisms underlying grassland species in response to more persistent precipitation regimes

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Transcriptomic profiling of Poa pratensis L. under treatment of various phytohormones

Meng,

Peng,

Zhang

et al. 2024

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Poa pratensis L. (Poaceae) is a valuable grass across the north hemisphere, inhabiting diverse environments with wide altitudinal span, where ubiquitous various kinds of stresses. Phytohormones would be helpful to improve tolerance to abiotic and biotic stresses, but the responses of transcriptome regulation of P. pratensis to exogenous phytohormones application remain unclear. In this study, we explored the alteration of plant physiological responses by the application of phytohormones. Aiming to achieve this knowledge, we got full-length transcriptome data 42.76 Gb, of which 74.9% of transcripts were completed. Then used 27 samples representing four treatments conducted at two time points (1 h and 6 h after application) to generate RNA-seq data. 371 and 907 common DEGs were identified in response to four phytohormones application, respectively, these DEGs were involved in “plant hormone signal transduction”, “carbon metabolism” and “plant-pathogen interaction”. Finally, P. pratensis basic research can gain valuable information regarding the responses to exogenous application of phytohormones in physiological indicators and transcriptional regulations in order to facilitate the development of new cultivars.

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Transcriptomics in response of biotic stress in plants

Cited by 2 publications

References 127 publications

Elucidating the molecular mechanisms underlying grassland species in response to more persistent precipitation regimes

Elucidating the molecular mechanisms underlying grassland species in response to more persistent precipitation regimes

Transcriptomic profiling of Poa pratensis L. under treatment of various phytohormones

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