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Genome Size and the Evolution of New Genes

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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 Size and the Evolution of New Genes

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Related Experiment Video

Updated: Feb 7, 2026

Vibrio cholerae: Model Organism to Study Bacterial Pathogenesis - Interview

Vibrio cholerae: Model Organism to Study Bacterial Pathogenesis - Interview

Published on: May 28, 2007

Modeling three-dimensional genomic organization in evolution and pathogenesis.

Alon Diament¹, Tamir Tuller²

¹Dept. of Biomedical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel.

Seminars in Cell & Developmental Biology

|July 22, 2018

Summary

This summary is machine-generated.

Understanding the genome's 3D structure is key to gene expression regulation. This review explores novel methods for analyzing 3D genomic conformation and disease-causing mutations, highlighting comparative analysis for future research.

Keywords:

Comparative genomics Computational models Disease-causing mutations Gene expression Three-dimensional genomic organization

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Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

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Last Updated: Feb 7, 2026

Vibrio cholerae: Model Organism to Study Bacterial Pathogenesis - Interview

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Published on: May 28, 2007

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

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Published on: August 15, 2019

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Area of Science:

Genomics
Molecular Biology
Computational Biology

Background:

Gene expression is regulated by the genome's three-dimensional (3D) conformation and intracellular factor interactions.
Understanding the link between 3D genome structure and cellular phenotypes in health and disease is crucial.

Purpose of the Study:

To review novel approaches for analyzing and modeling 3D genomic conformation.
To focus on deciphering disease-causing mutations impacting gene expression.
To emphasize the importance of comparative analysis for future research.

Main Methods:

Discussion of experimental and computational approaches for 3D genome analysis.
Focus on methods for modeling genomic conformation.
Review of techniques for identifying mutations affecting gene expression.

Main Results:

Novel methods for analyzing and modeling 3D genomic conformation are discussed.
The review highlights the challenges in deciphering disease-causing mutations.
Comparative analysis of 3D models across organisms/cells is identified as a key future direction.

Conclusions:

Analyzing 3D genomic conformation is essential for understanding gene regulation.
Deciphering disease-causing mutations requires advanced analytical and modeling techniques.
Comparative analysis of diverse 3D genomic models is crucial for advancing the field.