Transcriptomics in Plant

Satya, Pratik; Bhattacharjee, Sougata; Sarkar, Debabrata; Roy, Suman; Sharma, Laxmi; Mandal, Nur Alam

doi:10.1007/978-981-16-6974-3_5

Cited by 3 publications

(2 citation statements)

References 67 publications

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“…The zigzag model of plant-microbe interactions is widely used in illustrating the nature of certain types of molecular interactions but it is not useful for quantification or prediction [ 18 ]. With the advent of faster, cheaper, and high-throughput “omics” methods, the ability to obtain large amounts of quantitative data is transforming and accelerating research in plant science and plant-microbial interactions [ 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

Natural immunity stimulation using ELICE16INDURES® plant conditioner in field culture of soybean

Decsi

Kutasy

Hegedűs

et al. 2023

Heliyon

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Section: Introductionmentioning

confidence: 99%

Natural immunity stimulation using ELICE16INDURES® plant conditioner in field culture of soybean

Decsi

Kutasy

Hegedűs

et al. 2023

Heliyon

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“…The most widely used method for analyzing transcriptomes is called RNAseq. This is because it provides comprehensive coverage of the genome and ubiquitous expression of transcripts [ 133 ]. RNAseq detects DEG and consequently deciphers the regulatory mechanism of plant abiotic stress tolerance.…”

Section: Transcriptomicsmentioning

confidence: 99%

Multi-Omics Pipeline and Omics-Integration Approach to Decipher Plant’s Abiotic Stress Tolerance Responses

Roychowdhury

Das²,

Gupta

et al. 2023

Genes

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The present day’s ongoing global warming and climate change adversely affect plants through imposing environmental (abiotic) stresses and disease pressure. The major abiotic factors such as drought, heat, cold, salinity, etc., hamper a plant’s innate growth and development, resulting in reduced yield and quality, with the possibility of undesired traits. In the 21st century, the advent of high-throughput sequencing tools, state-of-the-art biotechnological techniques and bioinformatic analyzing pipelines led to the easy characterization of plant traits for abiotic stress response and tolerance mechanisms by applying the ‘omics’ toolbox. Panomics pipeline including genomics, transcriptomics, proteomics, metabolomics, epigenomics, proteogenomics, interactomics, ionomics, phenomics, etc., have become very handy nowadays. This is important to produce climate-smart future crops with a proper understanding of the molecular mechanisms of abiotic stress responses by the plant’s genes, transcripts, proteins, epigenome, cellular metabolic circuits and resultant phenotype. Instead of mono-omics, two or more (hence ‘multi-omics’) integrated-omics approaches can decipher the plant’s abiotic stress tolerance response very well. Multi-omics-characterized plants can be used as potent genetic resources to incorporate into the future breeding program. For the practical utility of crop improvement, multi-omics approaches for particular abiotic stress tolerance can be combined with genome-assisted breeding (GAB) by being pyramided with improved crop yield, food quality and associated agronomic traits and can open a new era of omics-assisted breeding. Thus, multi-omics pipelines together are able to decipher molecular processes, biomarkers, targets for genetic engineering, regulatory networks and precision agriculture solutions for a crop’s variable abiotic stress tolerance to ensure food security under changing environmental circumstances.

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Transcriptomics: illuminating the molecular landscape of vegetable crops: a review

Vishwanath,

Bidaramali,

Lata

et al. 2024

J. Plant Biochem. Biotechnol.

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Transcriptomics in Plant

Cited by 3 publications

References 67 publications

Natural immunity stimulation using ELICE16INDURES® plant conditioner in field culture of soybean

Natural immunity stimulation using ELICE16INDURES® plant conditioner in field culture of soybean

Multi-Omics Pipeline and Omics-Integration Approach to Decipher Plant’s Abiotic Stress Tolerance Responses

Transcriptomics: illuminating the molecular landscape of vegetable crops: a review

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