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Related Concept Videos

Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
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Related Experiment Video

Updated: Dec 15, 2025

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.
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ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era.

Songtao Gui1, Linfeng Yang1, Jianbo Li2

  • 1National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.

Iscience
|July 8, 2020
PubMed
Summary

ZEAMAP is a new database integrating diverse maize omics data to accelerate genetic research and improve crop traits. This resource aids breeders in understanding maize genetics and enhancing agronomic performance.

Keywords:
BioinformaticsPlant BioinformaticsPlant BiologyPlant Genetics

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Area of Science:

  • Plant genetics
  • Genomics
  • Bioinformatics

Background:

  • Maize (Zea mays L.) is a globally significant crop with extensive research history.
  • High-throughput omics technologies have generated vast multi-dimensional data for maize and teosinte.
  • Integrating multi-omics data is crucial for advancing maize genetic research and crop improvement.

Purpose of the Study:

  • To construct ZEAMAP, a comprehensive database for maize multi-omics data integration.
  • To provide a user-friendly platform for interactive data exploration and cross-referencing.
  • To facilitate genetic research and the improvement of maize agronomic traits.

Main Methods:

  • Compilation of multiple maize reference genomes and annotations.
  • Integration of comparative genomics, transcriptomics, and epigenomics data (open chromatin, chromatin interactions).
  • Inclusion of genetic variants, phenotypes, metabolomics, genetic maps, and population structure data.

Main Results:

  • ZEAMAP incorporates a wide array of multi-omics datasets for maize inbred lines.
  • The database includes genetic mapping loci and populational DNA methylation signals.
  • ZEAMAP offers interactive tools for data integration, visualization, and cross-referencing.

Conclusions:

  • ZEAMAP serves as a valuable resource for maize genetic research.
  • The integrated data facilitates a deeper understanding of maize genetics and trait development.
  • This comprehensive database has the potential to accelerate breeding programs and enhance maize cultivation.