Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

Plant Breeding and Biotechnology

Plant Breeding and Biotechnology

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.

Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

You might also read

Related Articles

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

Sort by

Same author

Competing programs shape cortical sensorimotor-association axis development.

Nature·2026

Same author

Bonding character and octahedral geometry as key determinants of solute miscibility in Ir-based oxides.

Nature communications·2026

Same author

Post-Synthetic Modification of the C═C Linkage in a Vinylene-Linked COF for ROS-Mediated Enamine Dimerization.

Small (Weinheim an der Bergstrasse, Germany)·2026

Same author

Polyketide synthase-like functionality acquired by plant fatty acid elongase.

Science advances·2026

Same author

scDecorr: feature decorrelation based representation learning enables self-supervised alignment of multiple single-cell experiments.

Scientific reports·2026

Same author

Impact of Transfusion Dependence on Clinical and Economic Burden in Patients with Lower-Risk Myelodysplastic Syndromes: A 28-Year Retrospective Study.

Journal of blood medicine·2026

Search research articles

Related Experiment Video

Updated: Apr 17, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

Network-assisted crop systems genetics: network inference and integrative analysis.

Tak Lee¹, Hyojin Kim¹, Insuk Lee¹

¹Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea.

Current Opinion in Plant Biology

|February 21, 2015

Summary

This summary is machine-generated.

Developing crop gene networks is crucial for understanding complex traits. These networks aid in prioritizing genes and analyzing genome-wide association study data for crop improvement.

More Related Videos

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Related Experiment Videos

Last Updated: Apr 17, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Area of Science:

Genomics
Systems Biology
Plant Science

Background:

Next-generation sequencing (NGS) has decoded many crop genomes, but genetic components of key traits remain elusive.
Network approaches are effective for studying plant genetics, as demonstrated in Arabidopsis thaliana.
Genome-scale functional networks are essential for advancing crop genetics.

Purpose of the Study:

To review methods for constructing crop functional gene networks.
To explain how these networks provide a holistic view of crop systems.
To highlight the utility of crop gene networks for future research.

Main Methods:

Discussing the construction of genome-scale functional networks for crops.
Elucidating the holistic view of crop systems using network approaches.
Applying network analysis to gene prioritization and genome-wide association study (GWAS) data.

Main Results:

Functional networks offer a comprehensive understanding of crop genetic systems.
Network construction provides a framework for integrating diverse biological data.
These networks facilitate the analysis of large-scale genomic datasets.

Conclusions:

Crop gene networks are vital for deciphering complex genetic traits.
Network-based approaches will accelerate gene discovery and trait improvement in crops.
The integration of network analysis with GWAS data is key for future crop science advancements.