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Evolutionary Relationships through Genome Comparisons

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...

Gene Duplication and Divergence

Gene Duplication and Divergence

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.

Gene Evolution - Fast or Slow?

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...

Gene Evolution - Fast or Slow?

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
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Horizontal Gene Transfer

Horizontal Gene Transfer

Horizontal gene transfer (HGT) is a process where genetic material moves between organisms within the same generation, unlike vertical gene transfer, which occurs from parent to offspring. HGT plays a crucial role in microbial evolution, adaptation, and survival, particularly in shared environments like the human gut.Mobile genetic elements such as plasmids, prophages, integrons, insertion sequences, and transposons facilitate this process. HGT occurs through three primary mechanisms:...

Synteny and Evolution

Synteny and Evolution

John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral chromosome underwent...

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Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

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A unified approach for reconstructing ancient gene clusters.

Jens Stoye¹, Roland Wittler

¹Genome Informatics Group, Faculty of Technology, Bielefeld University, 33594 Bielefeld, Germany. stoye@techfak.uni-bielefeld.de

IEEE/ACM Transactions on Computational Biology and Bioinformatics

|August 1, 2009

Summary

This study introduces a new method for analyzing gene order in genomes to understand gene and genome evolution. The approach efficiently identifies gene clusters across species, aiding in phylogenetic and functional relationship predictions.

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Gene order in genomes contains crucial evolutionary information.
Comparative genomics utilizes gene order similarities/differences to infer gene function and genome phylogeny.
Gene clusters, groups of colocated genes, are key units in comparative genomics.

Purpose of the Study:

To introduce a unified approach for modeling gene clusters.
To define and solve the problem of labeling phylogenetic tree nodes with gene clusters.
To optimize gene cluster reconstruction based on parsimony and consistency.

Main Methods:

Developed a unified combinatorial model for gene clusters.
Defined a phylogenetic tree labeling problem with gene clusters.
Implemented an exact algorithm optimizing for minimal gene cluster gains/losses and consistency.
Evaluated the algorithm on simulated and real genomic data.

Main Results:

Presented an exact algorithm for phylogenetic tree labeling with gene clusters.
Demonstrated the algorithm's suitability for large-scale data despite worst-case complexity.
Showcased the effectiveness and efficiency of the proposed method.

Conclusions:

The unified approach and exact algorithm provide an effective method for analyzing gene order evolution.
The method aids in reconstructing ancestral gene cluster content and understanding genome evolution.
The approach is efficient and scalable for real-world genomic datasets.