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Comparing Copy Number Variations and SNPs

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%...

Single Nucleotide Polymorphisms-SNPs

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...

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Related Experiment Video

Updated: Jun 28, 2025

Detection of Copy Number Alterations Using Single Cell Sequencing

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

Identification of Induced Copy Number Variation from Low Coverage Sequence Data.

Bradley J Till¹

¹Veterinary Genetics Laboratory, University of California, Davis, CA, USA. bjtill@ucdavis.edu.

Methods in Molecular Biology (Clifton, N.J.)

|April 24, 2024

Summary

This summary is machine-generated.

This study introduces a new method to detect large DNA copy number variations (CNVs) induced by radiation in plants. This technique aids in optimizing mutagen dosage for plant breeding and functional genomics research.

Keywords:

CNV Clonal propagation Gamma irradiation Low coverage copy number variation Polyploidy

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Area of Science:

Plant Science
Genomics
Molecular Biology

Background:

Induced mutations are crucial for plant breeding and functional genomics, with ionizing radiation being a common method.
Ionizing radiation can induce various DNA lesions, including large copy number variations (CNVs).
Detecting induced DNA lesions helps optimize mutagen dosage for developing mutant populations.

Purpose of the Study:

To present a streamlined method for detecting large induced CNVs in mutant plants.
To facilitate the selection of appropriate mutagen dosages for genetic screening.
To enable efficient analysis of DNA lesions from whole genome sequence data.

Main Methods:

Utilizing a novel tool to obtain read coverage directly from BAM files.
Comparing read coverage between non-mutagenized controls and mutagenized samples.
Plotting results for visual evaluation of induced CNVs.

Main Results:

Demonstrated a method for detecting large induced CNVs from whole genome sequence data.
Provided example data from gamma-irradiated triploid banana with low-coverage sequencing.
Successfully streamlined the process of CNV detection from BAM files.

Conclusions:

The developed method offers an efficient way to detect large induced CNVs in plants.
This approach supports informed decisions regarding mutagen dosage for plant breeding and functional genomics.
The technique is applicable to various plant species and sequencing data types.