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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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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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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.
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Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
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The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
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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.
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Ultra-long Read Sequencing for Whole Genomic DNA Analysis
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Ultra-fast genome comparison for large-scale genomic experiments.

Esteban Pérez-Wohlfeil1, Sergio Diaz-Del-Pino1, Oswaldo Trelles2

  • 1Computer Architecture Department, University of Málaga - Instituto de Investigación Biomédica de Málaga-IBIMA, Málaga, Spain.

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Summary
This summary is machine-generated.

This study introduces a novel heuristic algorithm for efficient large-scale genome comparison, significantly reducing computational demands and enabling faster evolutionary studies by identifying conserved DNA sequences.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Technological advancements enable rapid, cost-effective sequencing of large genomes.
  • Comparing vast amounts of genomic data presents computational challenges due to sequence size, noise, and repeats.
  • Existing methods for large-scale genome comparison are time-consuming and resource-intensive.

Purpose of the Study:

  • To develop an efficient method for comparing large and numerous genome sequences.
  • To address the computational burden associated with analyzing noisy and repetitive DNA sequences.
  • To facilitate evolutionary studies by enabling rapid detection of conserved genomic fragments.

Main Methods:

  • A heuristic algorithm designed to filter noise and repeats from conserved DNA fragments.
  • Software implementation with linear time complexity and minimal memory footprint.
  • Generation of comparison previsualizations and indices to reduce downstream computational complexity.

Main Results:

  • The method successfully separates conserved fragments from noise and repeats in pairwise genomic comparisons.
  • The software operates efficiently, requiring minimal computational resources (one core, constant memory).
  • Automated classification of sequences and identification of synteny blocks are achieved.

Conclusions:

  • The developed method offers a computationally efficient solution for large-scale genome comparisons.
  • This approach significantly reduces execution time and resource demands.
  • The tool facilitates new avenues for evolutionary studies through rapid analysis and synteny block detection.