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Transcriptomics and Biochemical Profiling: Current Dynamics in Elucidating the Potential Attributes of Olive.
Shah, Zahid Hussain; Hamooh, Bahget T; Daur, Ihsanullah; Rehman, Hafiz Mamoon; Alghabari, Fahad.
Afiliação
  • Shah ZH; Department of Arid Land Agriculture, King Abdul Aziz University Jeddah, Saudi Arabia.
  • Hamooh BT; Department of Arid Land Agriculture, King Abdul Aziz University Jeddah, Saudi Arabia.
  • Daur I; Department of Arid Land Agriculture, King Abdul Aziz University Jeddah, Saudi Arabia.
  • Rehman HM; Department of Electronics and Biomedical Engineering, Chonnam National University, Yeosu Campus, 556-896, Korea.
  • Alghabari F; Department of Arid Land Agriculture, King Abdul Aziz University Jeddah, Saudi Arabia.
Curr Issues Mol Biol ; 21: 73-98, 2017.
Article em En | MEDLINE | ID: mdl-27489344
ABSTRACT
Various transcriptome studies have remained useful in unraveling the complexity of molecular pathways regulating the oil biochemical contents and fruit characteristics of agronomic value in olive. Genes networks associated with plant architect and abiotic stress tolerance have been constructed due to robust genomic data generated by the tools of genomics. This, familiarity will accelerate the breeding programmes in making the selection of high yielding olive genotypes promptly and efficiently. Moreover, comparative transcriptome studies for endogeneous enzymes at different expression sites explicate the contribution of various pathways in phenol and lipid oxidation in olive. Recently, non-targeted metabolomics and metabolic profiling techniques have not only made the understanding of metabolic changes easy but also elucidate biomarkers in fruits related to agronomic parameters and abiotic stresses. However, the alteration in the architectural build up of phenotypes auth-enticates the conservation of their potential genetic links that will invoke interest for future olive breeding.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Olea Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Olea Idioma: En Ano de publicação: 2017 Tipo de documento: Article