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Related Concept Videos

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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MODEM: multi-omics data envelopment and mining in maize.

Haijun Liu1, Fan Wang2, Yingjie Xiao1

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

Database : the Journal of Biological Databases and Curation
|August 10, 2016
PubMed
Summary
This summary is machine-generated.

MODEM is a new maize database offering genomic, transcriptomic, metabolic, and phenotypic data. This resource enables advanced genetic mapping and functional annotation for improved understanding of maize genetics and kernel development.

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Area of Science:

  • Plant Science
  • Genomics
  • Bioinformatics

Background:

  • Understanding maize genetic architecture is crucial for crop improvement.
  • Integrating multidimensional omics data facilitates comprehensive analysis.

Purpose of the Study:

  • To introduce MODEM, a novel database for maize multidimensional omics data.
  • To facilitate genetic mapping and functional annotation of the maize genome.
  • To explore genotype-phenotype relationships and kernel development regulation.

Main Methods:

  • Combined RNA sequencing and 50K array data for SNP calling.
  • Developed a database integrating genomic, transcriptomic, metabolic, and phenotypic data.
  • Enabled various genetic mapping types (pQTLs, eQTLs, mQTLs).

Main Results:

  • MODEM contains ~1.06M high-quality SNPs for 508 diverse inbred lines.
  • The database supports diverse genetic mapping and functional annotation.
  • Provides visualization tools and links to other databases.

Conclusions:

  • MODEM is a valuable resource for maize genetics research.
  • Facilitates deeper understanding of maize genetic architecture and genotype-phenotype relationships.
  • Promotes development of novel methods for crop improvement.