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Related Experiment Video

Updated: Nov 17, 2025

Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development

Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development

Published on: March 5, 2017

Local adaptation contributes to gene expression divergence in maize.

Jennifer Blanc¹, Karl A G Kremling^2,3, Edward Buckler^2,4,5

¹Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.

G3 (Bethesda, Md.)

|February 19, 2021

Summary

Researchers identified genes showing local adaptation in maize gene expression. This study highlights genes involved in stress responses, offering insights into maize evolution and adaptation processes.

Keywords:

Gene Expression Local Adaptation Maize Population Genetics

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Area of Science:

Evolutionary biology
Genomics
Plant science

Background:

Gene expression links genetic makeup to observable traits, crucial for understanding local adaptation.
Distinguishing selection-driven divergence from genetic drift is key for identifying adaptive gene expression.

Purpose of the Study:

To adapt a quantitative genetic framework (QST-FST) for detecting local adaptation in transcriptome-wide gene expression in maize.
To investigate patterns of selection on gene expression across diverse maize populations and tissues.
To examine selection on genes related to cold and drought responses and coexpression clusters.

Main Methods:

Adaptation of the QST-FST framework to analyze gene expression data.
Comparison of gene expression divergence patterns across multiple maize populations and tissue types.
Analysis of selection on specific gene sets, including stress-response genes and coexpression modules.

Main Results:

Identification of numerous genes with expression levels indicative of local adaptation in maize.
Enrichment of selection signals in genes associated with stress responses (cold, drought).
Varied patterns of selected genes across different maize populations and tissues.

Conclusions:

The adapted QST-FST framework effectively detects local adaptation in gene expression.
Genes involved in stress response are key targets of selection contributing to maize local adaptation.
Findings provide valuable insights into the genetic basis of maize adaptation due to domestication and breeding history.