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MiRNA fine tuning for crop improvement: using advance computational models and biotechnological tools.
Abbas, Asad; Shah, Adnan Noor; Tanveer, Mohsin; Ahmed, Waseem; Shah, Anis Ali; Fiaz, Sajid; Waqas, Muhammad Mohsin; Ullah, Sami.
Afiliación
  • Abbas A; School of Horticulture, Anhui Agricultural University, Hefei, 230036, China.
  • Shah AN; Department of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Punjab, Pakistan. ans.786@yahoo.com.
  • Tanveer M; Tasmanian Institute of Agriculture, University of Tasmania, Hobart, Australia.
  • Ahmed W; Department of Horticulture, The University of Haripur, Hatatr Road, Haripur, 22620, Pakistan.
  • Shah AA; Department of Botany, Division of Science and Technology, University of Education, Lahore, Pakistan.
  • Fiaz S; Department of Plant Breeding and Genetics, The University of Haripur, Haripur, Pakistan.
  • Waqas MM; Department of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Punjab, Pakistan.
  • Ullah S; Department of Chemistry, College of Science, King Khalid University, Abha, 61413, Saudi Arabia.
Mol Biol Rep ; 49(6): 5437-5450, 2022 Jun.
Article en En | MEDLINE | ID: mdl-35182321
ABSTRACT
MiRNAs modulate target genes expression at post-transcriptional levels, by reducing spatial abundance of mRNAs. MiRNAs regulats plant metabolism, and emerged as regulators of plant stress responses. Which make miRNAs promising candidates for fine tuning to affectively alter crop stress tolerance and other important traits. With recent advancements in the computational biology and biotechnology miRNAs structure and target prediction is possible resulting in pin point editing; miRNA modulation can be done by up or down regulating miRNAs using recently available biotechnological tools (CRISPR Cas9, TALENS and RNAi). In this review we have focused on miRNA biogenesis, miRNA roles in plant development, plant stress responses and roles in signaling pathways. Additionally we have discussed latest computational prediction models for miRNA to target gene interaction and biotechnological systems used recently for miRNA modulation. We have also highlighted setbacks and limitations in the way of miRNA modulation; providing entirely a new direction for improvement in plant genomics primarily focusing miRNAs.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: MicroARNs Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: MicroARNs Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article