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Trait Mapping Approaches Through Association Analysis in Plants.

M Saba Rahim1, Himanshu Sharma1, Afsana Parveen1

  • 1National Agri-Food Biotechnology Institute (NABI), Mohali, India.

Advances in Biochemical Engineering/Biotechnology
|March 8, 2018
PubMed
Summary
This summary is machine-generated.

Association mapping (AM) is a powerful tool for identifying genes controlling complex traits in plants. This method offers high-resolution genetic insights without needing to create new mapping populations.

Keywords:
Association mapping (AM)Linkage disequilibrium (LD)Marker-assisted selection (MAS)Quantitative trait loci (QTLs)

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Area of Science:

  • Plant genetics
  • Quantitative genetics
  • Genomic analysis

Background:

  • Association mapping (AM) has evolved from animal science to become a key statistical approach in plant breeding.
  • It is crucial for genome-wide breeding strategies, marker development, and diversity analysis in crops.
  • Traditional QTL mapping relied on linkage mapping, which is more time-consuming and less precise than AM.

Purpose of the Study:

  • To provide an overview of association mapping (AM) methodologies, models, and software.
  • To summarize previous studies on AM in various crop species.
  • To highlight the advantages and disadvantages of AM, particularly in dicotyledonous crops like Fabaceae and Solanaceae.

Main Methods:

  • Review of existing literature on association mapping (AM) in plant genetics.
  • Analysis of AM models and software applications.
  • Discussion of AM's application in crop species with diverse reproductive strategies.

Main Results:

  • AM provides high-resolution mapping power, especially with diverse germplasm and low linkage disequilibrium (LD).
  • Benefits include detailed mapping resolution and reduced time due to the absence of mapping population generation.
  • Advancements in genotyping and computational power have accelerated AM adoption.

Conclusions:

  • Association mapping (AM) is a valuable and efficient method for dissecting complex traits in major and minor crop species.
  • It enables the identification of genetic factors controlling traits, aiding in marker-assisted selection and breeding.
  • AM offers a flexible approach for investigating QTLs across various genomic regions simultaneously.