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Genome Size and the Evolution of New Genes

Genome Size and the Evolution of New Genes

Genome Size and the Evolution of New Genes

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

Genome Annotation and Assembly

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

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%...

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Related Experiment Video

Updated: Jan 11, 2026

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

Genome size estimation from long read overlaps.

Michael B Hall¹, Chenxi Zhou², Lachlan J M Coin^1,3

¹Department of Microbiology and Immunology, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, 3000, Australia.

Bioinformatics (Oxford, England)

|November 9, 2025

Summary

This summary is machine-generated.

A new tool, Long Read-based Genome size Estimation (LRGE), accurately estimates genome size using read overlaps. LRGE is more efficient and accurate than existing methods for bacterial genomes.

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Last Updated: Jan 11, 2026

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Published on: March 15, 2019

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Published on: March 22, 2018

Area of Science:

Genomics
Bioinformatics

Background:

Accurate genome size estimation is crucial for genomic analyses like assembly and coverage calculation.
Existing genome size estimation tools are mainly optimized for short-read sequencing data.

Purpose of the Study:

To introduce LRGE, a novel reference-free tool for accurate genome size estimation using long-read sequencing data.
To evaluate LRGE's performance against existing methods on diverse genomic datasets.

Main Methods:

LRGE analyzes read-to-read overlap information to estimate genome size.
It calculates per-read estimates based on expected overlaps, read lengths, and a minimum overlap threshold.
The final genome size is determined by the median of these estimates for robustness.

Main Results:

LRGE was validated on a large, diverse bacterial dataset and generalized to eukaryotic datasets.
For bacterial genomes, LRGE demonstrated superior accuracy and computational efficiency compared to k-mer-based methods.
LRGE achieved comparable genome size estimates to assembly-based methods (e.g., Raven) with significantly lower computational resource usage.

Conclusions:

LRGE provides a robust and efficient method for genome size estimation from long-read sequencing data.
The tool outperforms existing methods, particularly for bacterial genomes, in both accuracy and computational efficiency.
LRGE offers a valuable alternative for genomic analyses requiring precise genome size determination.