Molecular Strategies for Confronting Abiotic Stress Tolerance in Tomatoes

Rooma Waqar, Lubna Anjum Minhas, Zakir Ullah, Abdul Samad Mumtaz, Javed Iqbal, Zahid Ullah, Banzeer Ahsan Abbasi, Shumaila Ijaz, Shobana Sampath, Rashid Iqbal, Ghulam Murtaza, Muhammad Majeed, Tayyaba Shahzadi

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

Tomato (Solanum lycopersicum) is one of the most widely cultivated and economically important crops globally. However, its productivity and quality are severely hampered by different abiotic stresses, including drought, lack of essential nutrients, salinity, and extreme temperatures. These stresses trigger a cascade of molecular and physiological changes that adversely affect the growth of the plant and yield. Recent advances in molecular biology and biotechnology offer promising strategies to enhance tomato tolerance to these abiotic stresses. Research on abiotic stresses is limited because defensive feedback mechanisms to abiotic factors require the regulation of changes that activate numerous genes and pathways, which are not yet thoroughly explored. The involvement of these genes highlights the complexity of plant stress response and adaptation. An integrative approach can begin by targeting the multigenic nature of plant responses to abiotic stress, which involves genomic sequences, protein organisation, transcripts, collections of transcriptomes specific to stress and cellular conditions, and screenings of mutants. Therefore, this chapter focusses on the metabolomics, proteomics, and genomics of tomatoes under abiotic stress.

Original languageEnglish (US)
Title of host publicationOmics Approaches for Tomato Yield and Quality Trait Improvement
PublisherSpringer Science+Business Media
Pages17-53
Number of pages37
ISBN (Electronic)9789819638901
ISBN (Print)9789819638895
DOIs
Publication statusPublished - 1 Jan 2025
Externally publishedYes

Keywords

  • Abiotic stress
  • Genomics
  • Metabolomics
  • Proteomics
  • Tomato omics

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