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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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...
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Updated: May 12, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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Multi-Experiment and Multi-Locus Genome-Wide Association Mapping for Grain Arsenic in Rice Population.

Caijin Chen1,2, Panthita Ruang-Areerate3, Anthony J Travis1

  • 1School of Biological Sciences University of Aberdeen Aberdeen UK.

Plant Direct
|May 7, 2025
PubMed
Summary
This summary is machine-generated.

Researchers identified quantitative trait loci (QTLs) and candidate genes for arsenic (As) accumulation in rice grains. This study aids in breeding rice varieties with reduced arsenic content for improved food safety.

Keywords:
Rice Diversity Panel 1candidate genesgenome‐wide association mappinggrain arsenicquantitative trait locirice

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Area of Science:

  • Plant Genetics and Breeding
  • Agricultural Science
  • Environmental Toxicology

Background:

  • Rice is a staple food crop globally, with a high capacity for arsenic (As) assimilation.
  • Elevated arsenic levels in rice grains pose a significant food safety concern.
  • Developing low-arsenic rice cultivars is crucial for public health and sustainable agriculture.

Purpose of the Study:

  • To compare different genome-wide association (GWA) methods for identifying quantitative trait loci (QTLs) and quantitative trait nucleotides (QTNs) associated with grain arsenic accumulation in rice.
  • To identify candidate genes regulating arsenic uptake and accumulation in rice grains.
  • To provide insights into the genetic basis of arsenic accumulation for breeding low-arsenic rice.

Main Methods:

  • Reanalysis of arsenic grain data from the Rice Diversity Panel 1 across five field environments.
  • Application of two single-locus (EMMAX, GEMMA) and six multi-locus (FASTmrEMMA, ISIS EM-BLASSO, mrMLM, pKWmEB, pLARmEB, FASTmrMLM) genome-wide association study (GWAS) methods.
  • Identification and analysis of candidate genes, including *OsABCC1* and plasma membrane intrinsic protein genes, through haplotype variant analysis.

Main Results:

  • A total of 90 and 111 QTLs were detected by EMMAX and GEMMA, respectively.
  • 2 to 25 QTNs were identified by the six multi-locus GWAS methods.
  • 22 QTLs/QTNs were consistently detected by both single-locus and multi-locus methods. Ten candidate genes were identified, with haplotype analysis of *OsABCC1* and plasma membrane intrinsic protein genes suggesting potential for >10% reduction in grain arsenic.

Conclusions:

  • The study successfully identified numerous QTLs/QTNs and candidate genes related to arsenic accumulation in rice grains.
  • Comparative analysis of GWA methods highlights their utility in dissecting complex traits like arsenic accumulation.
  • The identified genetic resources, particularly *OsABCC1* and plasma membrane intrinsic protein genes, are valuable targets for breeding low-arsenic rice cultivars.