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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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Updated: May 7, 2026

Associated Chromosome Trap for Identifying Long-range DNA Interactions
14:49

Associated Chromosome Trap for Identifying Long-range DNA Interactions

Published on: April 23, 2011

Disentangling associated genomes.

Daniel B Sloan1, Gordon M Bennett, Philipp Engel

  • 1Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, USA.

Methods in Enzymology
|September 25, 2013
PubMed
Summary
This summary is machine-generated.

This study details methods for assembling microbial genomes from complex environmental samples. It addresses challenges in assigning sequences to individual genomes, enabling the recovery of complete microbial genomes from metagenomic data.

Keywords:
endosymbiontsgenome assemblymetagenomic binningmicrobiota

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Last Updated: May 7, 2026

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Published on: April 23, 2011

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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Area of Science:

  • Microbial genomics
  • Metagenomics
  • Bioinformatics

Background:

  • Genome sequencing of microbial communities presents significant challenges.
  • Difficulty in assigning short DNA sequences to specific organisms within a mixed sample.
  • Requirement for robust methods to reconstruct individual genomes from complex datasets.

Purpose of the Study:

  • To outline strategies for generating complete or near-complete microbial genome sequences from heterogeneous samples.
  • To address the obstacle of sequence assignment in metagenomic assembly.
  • To provide a framework for transforming metagenomic data into individual genomes.

Main Methods:

  • Review of decision-making processes in metagenomic data analysis.
  • Delineation of methodologies for genome recovery and assembly.
  • Approaches for assigning sequences to specific microbial genomes.

Main Results:

  • Successful strategies for assembling genomes from mixed microbial communities.
  • Methods to overcome challenges in sequence-to-genome assignment.
  • Procedures to reconstruct individual microbial genomes from metagenomes.

Conclusions:

  • It is feasible to recover complete microbial genomes from complex environmental samples.
  • Specific methodologies can effectively address the challenges of metagenomic assembly and sequence assignment.
  • The presented approaches facilitate the transition from metagenomic data to individual genome reconstruction.