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High Transcriptome Plasticity Drives Phosphate Starvation Responses in Tomato

Overview
Journal Stress Biol
Publisher Springer Nature
Specialty Biology
Date 2023 Sep 7
PMID 37676521
Authors
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Abstract

Tomato is an important vegetable crop and fluctuating available soil phosphate (Pi) level elicits several morpho-physiological responses driven by underlying molecular responses. Therefore, understanding these molecular responses at the gene and isoform levels has become critical in the quest for developing crops with improved Pi use efficiency. A quantitative time-series RNA-seq analysis was performed to decipher the global transcriptomic changes that accompany Pi starvation in tomato. Apart from changes in the expression levels of genes, there were also alterations in the expression of alternatively-spliced transcripts. Physiological responses such as anthocyanin accumulation, reactive oxygen species generation and cell death are obvious 7 days after Pi deprivation accompanied with the maximum amount of transcriptional change in the genome making it an important stage for in-depth study while studying Pi stress responses (PSR). Our study demonstrates that transcriptomic changes under Pi deficiency are dynamic and complex in tomato. Overall, our study dwells on the dynamism of the transcriptome in eliciting a response to adapt to low Pi stress and lays it bare. Findings from this study will prove to be an invaluable resource for researchers using tomato as a model for understanding nutrient deficiency.

Citing Articles

Soil and Mineral Nutrients in Plant Health: A Prospective Study of Iron and Phosphorus in the Growth and Development of Plants.

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PMID: 38920984 PMC: 11201952. DOI: 10.3390/cimb46060312.


Genome-Wide Association Study (GWAS) for Identifying SNPs and Genes Related to Phosphate-Induced Phenotypic Traits in Tomato ( L.).

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References
1.
Love M, Huber W, Anders S . Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014; 15(12):550. PMC: 4302049. DOI: 10.1186/s13059-014-0550-8. View

2.
Mason M, Fan G, Plath K, Zhou Q, Horvath S . Signed weighted gene co-expression network analysis of transcriptional regulation in murine embryonic stem cells. BMC Genomics. 2009; 10:327. PMC: 2727539. DOI: 10.1186/1471-2164-10-327. View

3.
Rawat V, Abdelsamad A, Pietzenuk B, Seymour D, Koenig D, Weigel D . Improving the Annotation of Arabidopsis lyrata Using RNA-Seq Data. PLoS One. 2015; 10(9):e0137391. PMC: 4575116. DOI: 10.1371/journal.pone.0137391. View

4.
Gu Z, Eils R, Schlesner M . Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics. 2016; 32(18):2847-9. DOI: 10.1093/bioinformatics/btw313. View

5.
Raghothama K . PHOSPHATE ACQUISITION. Annu Rev Plant Physiol Plant Mol Biol. 2004; 50:665-693. DOI: 10.1146/annurev.arplant.50.1.665. View