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

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...

Ribosome Profiling

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

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

Synergistic Magneto-Electro-Thermal Biochemical Cascade Modulation Enables Rapid Healing and Functional Restoration of Infected Wounds.

Acta biomaterialia·2026

Same author

Design of novel interlocked bi-layer NiTi braided stent with ultra-thin walls for urinary tract obstruction treatment.

Regenerative biomaterials·2026

Same author

The effects of Okra supplementation on blood pressure, lipid profile, and inflammation in patients with prediabetes, type 2 diabetes, and diabetic nephropathy: a meta-analysis and systematic review.

Nutrition & diabetes·2026

Same author

Platelets Orchestrate a Neuroimmune Axis Driving Cutaneous Inflammation and Itch.

Research (Washington, D.C.)·2026

Same author

Geographical and seasonal variations of soil microbiomes and metabolomes in the core production area of Jiang-flavor Baijiu: a multi-omics characterization.

Frontiers in microbiology·2026

Same author

Portable electronic devices for mechanotherapy and operative treatment of osteoarthritis.

Mechanobiology in medicine·2026

Search research articles

Related Experiment Video

Updated: Jul 16, 2026

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

Genome-Wide Association Mapping and Integrated Transcriptomic-Genomic Analysis Reveal Candidate Genes for Grain

Fuge Cai¹, Fujun Wang², Shuai Nie²

¹Anshun Academy of Agricultural Sciences, Anshun 562100, China.

International Journal of Molecular Sciences

|July 15, 2026

Summary

Researchers identified 19 quantitative trait loci (QTL) for rice grain transparency (GT) using genome-wide association studies (GWAS). Four stable QTLs were found, with two co-localizing with known grain shape genes, offering insights into rice quality improvement.

Keywords:

candidate gene genome-wide association study grain transparency quantitative trait loci (QTL)rice

More Related Videos

Transverse Sectioning of Mature Rice (Oryza sativa L.) Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support

Transverse Sectioning of Mature Rice (Oryza sativa L.) Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support

Published on: January 25, 2022

Breeding by Design for Functional Rice with Genome Editing Technologies

Breeding by Design for Functional Rice with Genome Editing Technologies

Published on: January 3, 2025

Related Experiment Videos

Last Updated: Jul 16, 2026

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

Transverse Sectioning of Mature Rice (Oryza sativa L.) Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support

Transverse Sectioning of Mature Rice (Oryza sativa L.) Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support

Published on: January 25, 2022

Breeding by Design for Functional Rice with Genome Editing Technologies

Breeding by Design for Functional Rice with Genome Editing Technologies

Published on: January 3, 2025

Area of Science:

Plant Genetics
Molecular Biology
Agricultural Science

Background:

Grain transparency (GT) significantly impacts rice appearance quality and consumer acceptance.
The genetic underpinnings of rice GT are not well understood, limiting targeted breeding efforts.

Purpose of the Study:

To identify genetic loci associated with grain transparency in rice.
To uncover candidate genes for improving rice appearance quality through genetic analysis.

Main Methods:

Genome-wide association study (GWAS) on 450 rice accessions across two environments.
Linkage disequilibrium decay analysis and integrative transcriptomic and genomic analyses.
Haplotype analysis to associate gene variants with GT variation.

Main Results:

Nineteen quantitative trait loci (QTL) for GT were identified across rice chromosomes.
Four stable QTLs were consistently detected, with two co-localizing with known grain shape genes (GS3 and GW5).
Two novel candidate genes, OsFbx142 and OsSUBSrP1, were identified for the stable QTL qGT-4b, with specific haplotypes linked to GT variation.

Conclusions:

This study provides significant genetic insights into the regulation of rice grain transparency.
Identified QTLs and candidate genes offer valuable resources for marker-assisted selection and breeding programs aimed at enhancing rice appearance quality.