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A systematic in silico report on iron and zinc proteome of Zea mays.
Sharma, Ankita; Sharma, Dixit; Verma, Shailender Kumar.
Afiliação
  • Sharma A; Centre for Computational Biology and Bioinformatics, School of Life Sciences, Central University of Himachal Pradesh, District Kangra, Himachal Pradesh, India.
  • Sharma D; Centre for Computational Biology and Bioinformatics, School of Life Sciences, Central University of Himachal Pradesh, District Kangra, Himachal Pradesh, India.
  • Verma SK; Centre for Computational Biology and Bioinformatics, School of Life Sciences, Central University of Himachal Pradesh, District Kangra, Himachal Pradesh, India.
Front Plant Sci ; 14: 1166720, 2023.
Article em En | MEDLINE | ID: mdl-37662157
ABSTRACT
Zea mays is an essential staple food crop across the globe. Maize contains macro and micronutrients but is limited in essential mineral micronutrients such as Fe and Zn. Worldwide, serious health concerns have risen due to the deficiencies of essential nutrients in human diets, which rigorously jeopardizes economic development. In the present study, the systematic in silico approach has been used to predict Fe and Zn binding proteins from the whole proteome of maize. A total of 356 and 546 putative proteins have been predicted, which contain sequence and structural motifs for Fe and Zn ions, respectively. Furthermore, the functional annotation of these predicted proteins, based on their domains, subcellular localization, gene ontology, and literature support, showed their roles in distinct cellular and biological processes, such as metabolism, gene expression and regulation, transport, stress response, protein folding, and proteolysis. The versatile roles of these shortlisted putative Fe and Zn binding proteins of maize could be used to manipulate many facets of maize physiology. Moreover, in the future, the predicted Fe and Zn binding proteins may act as relevant, novel, and economical markers for various crop improvement programs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Plant Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Plant Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia