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Updated: Sep 9, 2025

A Robotic Platform for High-throughput Protoplast Isolation and Transformation

A Robotic Platform for High-throughput Protoplast Isolation and Transformation

Published on: September 27, 2016

Multigene engineering in plants: Technologies, applications, and future prospects.

Ruchika Rajput¹, Brandon A Boone¹, Rushil Mandlik²

¹Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA; The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.

Biotechnology Advances

|August 29, 2025

Summary

This summary is machine-generated.

Multigene engineering (MGE) enhances complex plant traits for the bioeconomy. This review details MGE technologies within the Design-Build-Test-Learn framework, aiming for sustainable agriculture and improved food security.

Keywords:

AI-aided plant engineering Crop biofactories DBTL cycle Gene stacking Metabolic pathway engineering Synthetic biology

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Last Updated: Sep 9, 2025

A Robotic Platform for High-throughput Protoplast Isolation and Transformation

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Published on: September 27, 2016

Peptide-derived Method to Transport Genes and Proteins Across Cellular and Organellar Barriers in Plants

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Published on: December 16, 2016

Co-expression of Multiple Chimeric Fluorescent Fusion Proteins in an Efficient Way in Plants

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Published on: July 1, 2018

Area of Science:

Plant Science
Synthetic Biology
Agricultural Biotechnology

Background:

The bioeconomy leverages plants as sustainable resources, but complex traits require advanced engineering.
Traditional breeding and single-gene methods are insufficient for traits like drought tolerance and yield.

Purpose of the Study:

To review multigene engineering (MGE) technologies for enhancing plant traits within the bioeconomy.
To summarize the Design-Build-Test-Learn (DBTL) framework for MGE applications.

Main Methods:

Review of current MGE technologies and synthetic biology approaches.
Detailed examination of the four stages of the DBTL framework: Design, Build, Test, and Learn.
Analysis of applications in biofortification, metabolic engineering, and stress resilience.

Main Results:

MGE enables simultaneous modification of multiple genes for complex trait enhancement.
The DBTL framework provides a structured approach to MGE development and iteration.
Progress has been made in biofortification, metabolic engineering, and stress resilience.

Conclusions:

MGE is crucial for advancing sustainable agriculture and the bioeconomy.
Challenges in construct stability, gene expression, and predictability need addressing.
Optimization strategies can accelerate MGE deployment for societal benefits like food security.