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

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.

Genome Annotation and Assembly

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

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,...

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.

You might also read

Related Articles

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

Sort by

Same author

High-throughput phenotyping of wheat ear surface area and ear density in the field.

Plant phenomics (Washington, D.C.)·2026

Same author

An active Helitron transposon family in wheat.

Nature plants·2026

Same author

Predictions of wheat phenotypic variability by integrating high-throughput phenotyping observations into a crop growth model.

Plant phenomics (Washington, D.C.)·2026

Same author

Community Perceptions of the Causes of Autism and Help-Seeking Responses: A Multi-Site Qualitative Study Across Northern Uganda.

Autism : the international journal of research and practice·2026

Same author

An Integral Hybrid Polymeric Biostimulant to Cope With Drought Stress in Bread Wheat.

Physiologia plantarum·2026

Same author

A conceptual framework for simultaneous optimization of integrated climate scenario data and phenology models.

Agronomy for sustainable development·2026

Search research articles

Related Experiment Video

Updated: May 11, 2026

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

dbWFA: a web-based database for functional annotation of Triticum aestivum transcripts.

Jonathan Vincent¹, Zhanwu Dai, Catherine Ravel

¹INRA, UMR1095 Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, Clermont-Ferrand, F-63 039 Cedex 2, France.

Database : the Journal of Biological Databases and Curation

|May 11, 2013

Summary

A new database, dbWFA, streamlines functional gene annotation for wheat (Triticum aestivum) by integrating diverse data sources. This tool accelerates the understanding of wheat gene functions, aiding agricultural research.

More Related Videos

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

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

Related Experiment Videos

Last Updated: May 11, 2026

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

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

Area of Science:

Plant genomics
Bioinformatics
Functional gene annotation

Background:

Gene annotation in wheat (Triticum aestivum) is challenging due to fragmented data across multiple databases.
Mining sequence homology for functional annotation is time-consuming and inefficient.

Purpose of the Study:

To develop a dedicated functional annotation database for Triticum aestivum (L.), named dbWFA.
To provide a unified and accessible platform for retrieving functional information for wheat genes.

Main Methods:

Integrated NCBI UniGene and TriFLDB full-length coding sequences for T. aestivum.
Utilized BLAST-based homology searches to link wheat sequences with annotations from model species (Arabidopsis thaliana, Oryza sativa).
Incorporated data from Gene Ontology, MapMan, MIPS, PlantCyc, and TAIR.

Main Results:

Successfully assigned putative functions to 45% of UniGenes and 81% of TriFLDB full-length coding sequences.
Validated annotation accuracy by comparing T. aestivum UniGene annotations with curated model species data.
Identified and annotated genes involved in wheat grain development (cell division, storage polymer accumulation).

Conclusions:

dbWFA offers an efficient tool for comprehensive functional gene annotation in wheat.
The database facilitates prompt information retrieval from multiple annotation systems.
Annotation results are consistent with previous wheat transcriptome and proteome studies, confirming dbWFA's utility.