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Updated: May 28, 2025

Micron-scale Phenotyping Techniques of Maize Vascular Bundles Based on X-ray Microcomputed Tomography
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Structural Variants Contribute to Phenotypic Variation in Maize.

Nathan S Catlin1,2,3, Husain I Agha1,3, Adrian E Platts1

  • 1Department of Plant Biology, Michigan State University, East Lansing, Michigan, USA.

Molecular Ecology
|February 13, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed a new method to detect structural variants (SVs), including transposable elements (TEs), in maize using short-read sequencing. This technique links SVs to important life history traits and genotype-by-environment interactions.

Keywords:
agriculturelife history evolutionphenotypic plasticitypopulation genetics – empiricalquantitative geneticsstructural variants

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Area of Science:

  • Genomics
  • Plant Biology
  • Population Genetics

Background:

  • Identifying genetic loci for trait variation is difficult due to limitations in detecting various genetic variants.
  • Structural variants (SVs), particularly transposable elements (TEs), are suspected to influence phenotypic variation, but detection methods using short-read sequencing are lacking.

Purpose of the Study:

  • To develop and apply a method for detecting polymorphic SVs and TEs in a large maize diversity panel using short-read sequencing data.
  • To associate SV variation with life history traits and genotype-by-environment (GxE) interactions in maize.

Main Methods:

  • Whole genome alignment between two maize genotypes to identify polymorphic SVs.
  • Genotyping a large maize diversity panel for identified SVs using short-read sequencing data.
  • Association analysis of SVs with traits and GxE interactions.

Main Results:

  • A technique was established to genotype SV polymorphisms across a large diversity panel using genomic short-read sequencing alignments.
  • SV polymorphisms were successfully linked to diverse life history traits and GxE interactions.
  • Most trait-associated SVs contained TEs; some were likely deletions, while others indicated TE insertions.
  • One TE insertion-like SV showed significant associations with gene expression.

Conclusions:

  • The developed method enables robust genotyping of SVs in large populations.
  • SV variation, including TEs, significantly contributes to trait variation and GxE interactions in maize.
  • While SVs are associated with traits, these associations were found to be in linkage disequilibrium with nearby SNPs.