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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

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...
Polygenic Traits01:18

Polygenic Traits

When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

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.

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Related Experiment Video

Updated: Jun 27, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
07:18

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

Published on: May 21, 2020

Integrative Genome-Wide Association Study (GWAS), Transcriptome, and Sequence Variation Analyses Reveal Candidate

Panpan Li1, Zhiguo Xiang1, Dan Zhang1

  • 1Wheat Institute, Henan Academy of Agricultural Sciences (HAAS), Zhengzhou 450002, China.

Genes
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

This study investigated the genetic basis of barley grain length, identifying 84 significant single nucleotide polymorphism (SNP) loci on chromosome 7. Integrative multi-omics analysis pinpointed seven key candidate genes for improving barley yield and quality.

Keywords:
GWASRNA-seqbarleycandidate genesgrain length

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Measuring Gene Expression in Bombarded Barley Aleurone Layers with Increased Throughput
10:29

Measuring Gene Expression in Bombarded Barley Aleurone Layers with Increased Throughput

Published on: March 30, 2018

Related Experiment Videos

Last Updated: Jun 27, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
07:18

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

Published on: May 21, 2020

Measuring Gene Expression in Bombarded Barley Aleurone Layers with Increased Throughput
10:29

Measuring Gene Expression in Bombarded Barley Aleurone Layers with Increased Throughput

Published on: March 30, 2018

Area of Science:

  • Plant genetics
  • Agronomy
  • Genomics

Background:

  • Grain length is crucial for barley (Hordeum vulgare L.) yield and quality.
  • Grain length is typically controlled by complex quantitative traits.

Purpose of the Study:

  • To investigate the genetic basis of grain length in barley.
  • To identify key candidate genes controlling grain length using an integrative multi-omics approach.

Main Methods:

  • Phenotypic evaluation of 198 barley accessions over two years.
  • Genome-wide association study (GWAS) to identify significant single nucleotide polymorphism (SNP) loci.
  • RNA sequencing (RNA-seq) and integration with GWAS data to identify candidate genes.

Main Results:

  • GWAS identified 84 stable SNP loci associated with grain length, primarily on chromosome 7.
  • RNA-seq revealed differentially expressed genes (DEGs) involved in chromatin structure, protein interactions, and metabolism.
  • Seven high-confidence candidate genes, including LOC123412467 and LOC123410619, were identified through integrated analysis.

Conclusions:

  • Chromosome 7 harbors major regulatory loci controlling barley grain length.
  • Integrative multi-omics analysis is effective for identifying candidate genes for complex agronomic traits.
  • The identified candidate genes offer potential for molecular breeding to enhance barley grain traits.