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DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Related Experiment Video

Updated: Jul 5, 2026

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy

Published on: July 29, 2019

A composite map of expressed sequences in maize.

M Causse, S Santoni, C Damerval

|April 1, 1996

Summary

A new maize genetic map was built using expressed sequences and four populations, providing accurate gene order. This map integrates various marker types for comprehensive genomic analysis in Zea mays L.

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Last Updated: Jul 5, 2026

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy

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Area of Science:

Plant Genetics
Genomics
Molecular Biology

Background:

Developing high-density genetic maps is crucial for understanding plant genomes.
Expressed sequence tags (ESTs) offer a valuable resource for genetic mapping.

Purpose of the Study:

To construct a high-resolution maize (Zea mays L.) genetic map primarily using expressed sequences.
To integrate diverse marker types for a comprehensive genomic overview.

Main Methods:

Utilized four segregating populations, including three recombinant inbred line populations and one F2 population, totaling 521 genotyped individuals.
Employed five marker sources: known genes, protein electrophoresis, isozymes, sequenced cDNAs, and anonymous probes.
Analyzed recombination fractions to assess map heterogeneity and construct a composite map.

Main Results:

A composite maize genetic map with 275 loci spanning 1765 centimorgans (cM) was successfully constructed.
Demonstrated good correspondence between maps derived from the same cross, with minor differences in interval distances.
Identified global map length differences up to 20% across different population-derived maps.

Conclusions:

The developed maize genetic map provides an accurate framework for gene order and genomic studies.
The integration of expressed sequences and diverse markers enhances the utility of the map.
Findings highlight the importance of considering population structure when comparing genetic maps.