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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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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Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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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.
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Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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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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Genomic DNA in Eukaryotes00:58

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Eukaryotes have large genomes compared to prokaryotes. To fit their genomes into a cell, eukaryotic DNA is packaged extraordinarily tightly inside the nucleus. To achieve this, DNA is tightly wound around proteins called histones, which are packaged into nucleosomes that are joined by linker DNA and coil into chromatin fibers. Additional fibrous proteins further compact the chromatin, which is recognizable as chromosomes during certain phases of cell division.
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Gene Duplication and Divergence02:37

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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...
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Genomic DNA in Prokaryotes00:46

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The genome of most prokaryotic organisms consists of double-stranded DNA organized into one circular chromosome in a region of cytoplasm called the nucleoid. The chromosome is tightly wound, or supercoiled, for efficient storage. Prokaryotes also contain other circular pieces of DNA called plasmids. These plasmids are smaller than the chromosome and often carry genes that confer adaptive functions, such as antibiotic resistance.
Genomic Diversity in Bacteria
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Updated: May 21, 2025

An Integrated Approach for Microprotein Identification and Sequence Analysis
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An Integrated Approach for Microprotein Identification and Sequence Analysis

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Generating multiple alignments on a pangenomic scale.

Jannik Olbrich1, Thomas Büchler1, Enno Ohlebusch1

  • 1Institute of Theoretical Computer Science, Ulm University, Ulm, 89069, Germany.

Bioinformatics (Oxford, England)
|March 17, 2025
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Summary
This summary is machine-generated.

A new software tool, PANgenomic Anchor-based Multiple Alignment, generates multiple genome alignments for pangenomics. It outperforms existing methods for large-scale genomic data analysis.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Advancements in long-read sequencing enable de novo genome assembly for multiple individuals.
  • High-quality genome assemblies, including the human pangenome reference, are increasingly available.
  • Existing multiple sequence alignment tools struggle with the scale of pangenomic data.

Purpose of the Study:

  • To develop a scalable software tool for generating multiple genome alignments.
  • To address the limitations of current alignment programs for large-scale genomic datasets.

Main Methods:

  • Combined a known anchor-based method with prefix-free parsing.
  • Developed the PANgenomic Anchor-based Multiple Alignment (PANAMA) software tool.

Main Results:

  • The developed approach enables multiple alignments on a pangenomic scale.
  • The PANAMA software significantly outperforms current state-of-the-art alignment programs on real-world data.
  • The method is effective when large-scale structural variants are infrequent.

Conclusions:

  • The PANAMA tool provides an effective solution for pangenomic multiple sequence alignment.
  • This advancement facilitates large-scale comparative genomics and pangenome analysis.