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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are characterized.
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Structure of a Gene

A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
However, only 1% of the DNA is composed of genes that encode proteins; the rest, 99% is non-coding DNA. This non-coding DNA performs...

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Analyzing and Building Nucleic Acid Structures with 3DNA
16:24

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Published on: April 26, 2013

Discovering patterns in gene order.

Laxmi Parida1, Niina Haiminen

  • 1IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA. parida@us.ibm.com

Methods in Molecular Biology (Clifton, N.J.)
|March 13, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method to analyze gene organization across multiple genomes, revealing evolutionary relationships beyond traditional phylogenetics. The approach uses mathematical and statistical models to uncover complex genomic structures in related plant species.

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Area of Science:

  • Genomics
  • Evolutionary Biology
  • Bioinformatics

Background:

  • Genomes evolve through various genetic events.
  • Phylogenetic analysis is a common method to study evolutionary relationships.
  • Understanding gene organization is crucial for deciphering genomic evolution.

Purpose of the Study:

  • To develop and apply a novel approach for investigating complex genomic relationships.
  • To explore gene organization as a means to understand evolutionary connections beyond phylogeny.
  • To analyze the relationships between closely related plant genomes using advanced models.

Main Methods:

  • Treating genes as fundamental units for comparative analysis.
  • Developing mathematical models for combinatorial gene organization.
  • Utilizing statistical models to study the distribution of gene arrangements.
  • Applying these models to a dataset of three related plant genomes.

Main Results:

  • The study presents a framework for analyzing gene order and organization across multiple genomes.
  • Mathematical and statistical models were developed to quantify gene relationships.
  • The application to plant genomes demonstrated the utility of the approach in revealing intricate evolutionary connections.

Conclusions:

  • Gene organization provides valuable insights into evolutionary processes.
  • The proposed methodology offers a new perspective on comparative genomics.
  • This approach can enhance our understanding of genome evolution in related species.