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Related Concept Videos

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
DNA Microarrays02:34

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...
Genome Copying Errors02:46

Genome Copying Errors

DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger their  survival. Therefore, the copying errors are checked and repaired at three levels.
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...

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Related Experiment Video

Updated: May 30, 2026

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
09:16

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants

Published on: February 21, 2015

Detection of copy number variations in rice using array-based comparative genomic hybridization.

Ping Yu1, Caihong Wang, Qun Xu

  • 1State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China.

BMC Genomics
|July 21, 2011
PubMed
Summary

Copy number variations (CNVs) are significant sources of genetic diversity in rice. This study mapped 641 CNVs, revealing their impact on gene content and potential role in rice varietal differences.

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Area of Science:

  • Genomics
  • Plant Science
  • Molecular Biology

Background:

  • Copy number variations (CNVs) are major drivers of genetic diversity, influencing gene dosage, structure, and expression.
  • While CNVs contribute significantly to variation in many organisms, their role in rice genetics remains largely unexplored.

Purpose of the Study:

  • To investigate the contribution of CNVs to genetic variation in rice.
  • To create a high-resolution map of CNVs in the rice genome.

Main Methods:

  • Utilized NimbleGen whole-genome comparative genomic hybridization arrays with 718,256 oligonucleotide probes.
  • Analyzed CNVs between two rice cultivars: 'Nipponbare' (O. sativa ssp. japonica) and 'Guang-lu-ai 4' (O. sativa ssp. indica).

Main Results:

  • Identified 641 CNVs across the rice genome, ranging from 1.1 kb to 180.7 kb, totaling approximately 7.6 Mb.
  • Detected 85 DNA segments, including genic sequences, with contracted genes significantly outnumbering duplicated genes.
  • Observed that contracted genes were often functionally related or involved in similar biological processes, including disease and defense.

Conclusions:

  • Array-based comparative genomic hybridization successfully detected CNVs in rice, many containing known genes.
  • CNVs are linked to variations among rice varieties and likely contribute to distinct subspecific characteristics.
  • Further research into rice CNVs is crucial for understanding crop diversity and improvement.