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Analysis of Gene Expression of Interest in Biotic Factors with Biotechnological and Agricultural Importance via RT-qPCR (Phase 2)

Project Details

Description

This project addresses the limitations in biotechnological and agricultural applications, such as the production of pharmaceutical compounds or biocontrol agents, which are hindered by the inefficacy and low yield of living organisms due to suboptimal conditions for gene expression. To resolve this, gene expression quantification via RT-qPCR is implemented, a key molecular technique used to identify ideal conditions that maximize the expression of relevant genes. The methodology involves the selection and preparation of biotic samples, RNA extraction, reverse transcription to obtain cDNA, and precise cDNA quantification using a Qubit 2.0 fluorometer to establish a standard curve. Subsequently, RT-qPCR amplification is performed on the Light Cycler 2.0 equipment, configuring parameters based on the organism and target gene sequences previously selected from bibliographic references. The final analysis allows for the quantification of gene expression, aiding in the identification of potential species that produce metabolites of interest and optimizing biotechnological and agricultural processes.<br/><br/><b>Goal</b>: <br/>To analyze the expression of genes of interest in biotic factors with biotechnological and agricultural importance, utilizing the RT-qPCR technique to identify optimal conditions that enhance gene expression and product yield.<br/><br/><b>Research lines</b>: <br/>Biodiversity and genetic resources
StatusFinished
Effective start/end date5/03/205/03/21

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Gene expression
  • RT-qPCR
  • Biotic factors
  • Biotechnology
  • Agriculture
  • Molecular quantification
  • RNA
  • cDNA
  • Quality control
  • Yield optimization

CACES Knowledge Areas

  • 115A Biology

Categorías UNESCO

  • Biology

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