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

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

15.4K
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...
15.4K
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

15.4K
The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
15.4K
Genomics02:02

Genomics

39.8K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
39.8K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

9.0K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
9.0K
The Roles of Bacteria and Fungi in Plant Nutrition02:11

The Roles of Bacteria and Fungi in Plant Nutrition

47.2K
Plants have the impressive ability to create their own food through photosynthesis. However, plants often require assistance from organisms in the soil to acquire the nutrients they need to function correctly. Both bacteria and fungi have evolved symbiotic relationships with plants that help the species to thrive in a wide variety of environments.
47.2K
Plant Hormones01:56

Plant Hormones

27.4K
Plant hormones—or phytohormones—are chemical molecules that modulate one or more physiological processes of a plant. In animals, hormones are often produced in specific glands and circulated via the circulatory system. However, plants lack hormone-producing glands.
27.4K

You might also read

Related Articles

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

Sort by
Same author

Engineering DNA Methylation Dynamics in Plants: Strategies from Detection to Deployment.

Journal of experimental botany·2026
Same author

Myo-inositol phosphate synthase (MIPS) as a molecular hub: Regulating plant growth and stress adaptation.

Plant science : an international journal of experimental plant biology·2025
Same author

Improved reference assembly and core collection resequencing to facilitate exploration of important agronomical traits for the improvement of oilseed crop, Carthamus tinctorius L.

GigaScience·2025
Same author

Transposable elements: mediators of epigenetic inheritance in plants.

Trends in plant science·2025
Same author

Glyceraldehyde-3-phosphate dehydrogenase 7 (FtGAPDH7) confers heat stress tolerance in buckwheat [Fagopyrum tataricum (L.) Gaertn].

Plant cell reports·2025
Same author

Exploring LOG genes: drivers of prickle evolution in the plant kingdom.

Plant molecular biology·2025

Related Experiment Video

Updated: Jan 23, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

4.8K

Association mapping in plants in the post-GWAS genomics era.

Pushpendra K Gupta1, Pawan L Kulwal2, Vandana Jaiswal3

  • 1Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, UP, India.

Advances in Genetics
|June 16, 2019
PubMed
Summary

Quantitative trait loci (QTL) and genome-wide association studies (GWAS) identify genes controlling crop traits. The post-GWAS era refines these methods for advanced crop improvement using new analytical approaches and resources.

Keywords:
Association mappingCandidate geneCrop improvementFunctional characterizationGWASMeta-analysisMissing heritabilityMixed modelsPost-GWAS eraRare variants

More Related Videos

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.7K
A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
09:10

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

10.0K

Related Experiment Videos

Last Updated: Jan 23, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

4.8K
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.7K
A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
09:10

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

10.0K

Area of Science:

  • Genetics and Genomics
  • Plant Breeding
  • Bioinformatics

Background:

  • DNA markers and statistical tools enabled identification of genomic regions controlling quantitative traits.
  • Quantitative trait loci (QTL) interval mapping and genome-wide association studies (GWAS) were initial methods, each with limitations.
  • The field has advanced into a post-GWAS era, leveraging existing and new data with sophisticated analyses.

Purpose of the Study:

  • To review historical and current approaches for genome-wide association studies (GWAS) in plants.
  • To discuss the utilization of GWAS results for crop improvement.
  • To explore advancements and resources in the post-GWAS era for identifying causal variants and enhancing crop breeding.

Main Methods:

  • Review of quantitative trait loci (QTL) interval mapping and genome-wide association studies (GWAS).
  • Discussion of improvements addressing GWAS limitations: multi-locus/multi-trait analysis, joint linkage association mapping.
  • Exploration of post-GWAS methods: meta-analysis, pathway analysis, methylation QTL, functional characterization, machine learning for high-dimensional data.

Main Results:

  • GWAS has been applied to major crops like maize, wheat, rice, sorghum, and soybean.
  • Improvements have been made to address computational demands, multiple testing, false discoveries, and rare alleles in GWAS.
  • The post-GWAS era focuses on identifying causal variants, functional characterization, and utilizing advanced data analysis techniques.

Conclusions:

  • GWAS and its advancements have significantly contributed to understanding trait genetics and marker-assisted selection in crops.
  • The post-GWAS era offers powerful tools and resources for precise identification of causal variants and accelerating crop improvement.
  • Continued development and application of these genomic approaches are crucial for future agricultural advancements.