Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Plant Breeding and Biotechnology01:59

Plant Breeding and Biotechnology

22.4K
Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.
22.4K
CRISPR/Cas9 Genome Editing01:28

CRISPR/Cas9 Genome Editing

3.3K
The CRISPR-Cas system serves as a bacterial defense mechanism against invading genetic elements such as viruses and plasmids, forming the foundation for its adaptation as a powerful genome-editing tool. Originally discovered in prokaryotes, this system has been repurposed to revolutionize genetic engineering across a wide range of organisms, including plants, animals, and humans. The core component, Cas9, is an endonuclease derived from Streptococcus pyogenes, capable of introducing...
3.3K
What is Genetic Engineering?00:49

What is Genetic Engineering?

82.0K
Overview
82.0K
CRISPR01:59

CRISPR

60.4K
Genome editing technologies allow scientists to modify an organism’s DNA via the addition, removal, or rearrangement of genetic material at specific genomic locations. These types of techniques could potentially be used to cure genetic disorders such as hemophilia and sickle cell anemia. One popular and widely used DNA-editing research tool that could lead to safe and effective cures for genetic disorders is the CRISPR-Cas9 system. CRISPR-Cas9 stands for Clustered Regularly Interspaced...
60.4K
CRISPR01:59

CRISPR

19.0K
19.0K
Synthetic Biology02:55

Synthetic Biology

5.8K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Engineering Metal-Organic Framework-Biopolymer-Based Hydrogels for Therapeutic Delivery.

ACS materials Au·2026
Same author

Engineering herbicide-resistant sorghum with CRISPR/Cas9-mediated adenine base editing.

Journal of integrative plant biology·2026
Same author

Double-fluorescent proteins enable robust maternal haploid identification in wheat.

aBIOTECH·2026
Same author

Contribution of Mg-templated porosity to activity and durability in Fe-N-C O<sub>2</sub> reduction catalysts.

Materials advances·2026
Same author

How do higher-order interactions shape the energy landscape?

Physical review. E·2026
Same author

Decades' progress and prospects on maize functional genomics and molecular breeding.

Science China. Life sciences·2025

Related Experiment Video

Updated: Apr 19, 2026

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits
09:43

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits

Published on: January 3, 2025

3.7K

Synergizing genome editing and artificial intelligence for predictive crop design.

Zhaoxu Gao1, Jinjie Zhu1, Chuanxiao Xie2

  • 1State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.

Molecular Plant
|April 18, 2026
PubMed
Summary
This summary is machine-generated.

Genome editing (GE) and artificial intelligence (AI) are revolutionizing crop improvement through a reciprocal innovation cycle. This synergy accelerates the engineering of complex traits for more efficient and sustainable crop design.

Keywords:
artificial intelligencebidirectional reinforcementcrop designcrop improvementfoundational frameworkgenome editing

More Related Videos

Embryo Microinjection and Knockout Mutant Identification of CRISPR/Cas9 Genome-Edited Helicoverpa Armigera H&#252;bner
06:37

Embryo Microinjection and Knockout Mutant Identification of CRISPR/Cas9 Genome-Edited Helicoverpa Armigera Hübner

Published on: July 1, 2021

5.4K
Genome Editing in Mammalian Cell Lines using CRISPR-Cas
07:56

Genome Editing in Mammalian Cell Lines using CRISPR-Cas

Published on: April 11, 2019

23.5K

Related Experiment Videos

Last Updated: Apr 19, 2026

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits
09:43

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits

Published on: January 3, 2025

3.7K
Embryo Microinjection and Knockout Mutant Identification of CRISPR/Cas9 Genome-Edited Helicoverpa Armigera H&#252;bner
06:37

Embryo Microinjection and Knockout Mutant Identification of CRISPR/Cas9 Genome-Edited Helicoverpa Armigera Hübner

Published on: July 1, 2021

5.4K
Genome Editing in Mammalian Cell Lines using CRISPR-Cas
07:56

Genome Editing in Mammalian Cell Lines using CRISPR-Cas

Published on: April 11, 2019

23.5K

Area of Science:

  • Agricultural Science
  • Biotechnology
  • Computational Biology

Background:

  • Traditional crop improvement relies on empirical methods.
  • Genome editing (GE) and artificial intelligence (AI) are emerging technologies with transformative potential.
  • The integration of GE and AI offers a paradigm shift towards predictive crop design.

Purpose of the Study:

  • To propose a reciprocal innovation cycle between GE and AI in crop improvement.
  • To highlight how AI enhances GE capabilities and how GE validates AI predictions.
  • To discuss the potential of this synergy for engineering complex agronomic traits.

Main Methods:

  • AI-driven improvements in guide RNA design, editing outcome prediction, and off-target analysis.
  • GE as an experimental platform for validating AI predictions and dissecting genotype-phenotype relationships.
  • Generation of high-resolution perturbation datasets for iterative AI model refinement.

Main Results:

  • The GE-AI synergy is accelerating the engineering of complex traits like climate resilience and nutritional enhancement.
  • Predictive editing design and iterative model validation are key emerging applications.
  • Early evidence suggests significant potential, though breeding-scale validation is still limited.

Conclusions:

  • Integrating AI with GE establishes a framework for predictive crop design.
  • This approach enables more efficient and sustainable crop engineering.
  • Addressing bottlenecks like data limitations and biological complexity is crucial for realizing full potential.