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Related Concept Videos

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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Modern Molecular Taxonomy01:29

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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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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RNA-seq03:21

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Applications of Molecular Taxonomy01:20

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Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
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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.
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Related Experiment Video

Updated: Nov 9, 2025

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies
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Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies

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Metagenomic Data Assembly - The Way of Decoding Unknown Microorganisms.

Alla L Lapidus1, Anton I Korobeynikov1

  • 1Center for Algorithmic Biotechnology, St. Petersburg State University, Saint Petersburg, Russia.

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|April 9, 2021
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Metagenomic assembly reconstructs microbial genomes from environmental DNA. This study explores assembly challenges, applications, and introduces the upgraded SPAdes assembler for microbial ecosystem analysis.

Keywords:
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Area of Science:

  • Microbial genomics and bioinformatics.

Background:

  • Metagenomics analyzes combined DNA from environmental samples.
  • Metagenomic assembly is crucial for reconstructing microbial genomes from short DNA sequences.

Purpose of the Study:

  • To discuss challenges and applications of metagenomic assembly.
  • To present SPAdes as an efficient assembler for metagenomic data.

Main Methods:

  • Review of metagenomic assembly challenges and applications.
  • Introduction of the SPAdes assembler, enhanced for metagenomics.

Main Results:

  • Metagenomic assembly is vital for understanding microbial ecology and evolution.
  • SPAdes is presented as an efficient tool for metagenomic data analysis.

Conclusions:

  • Addressing metagenomic assembly challenges is key to advancing microbial ecosystem research.
  • The upgraded SPAdes assembler offers an efficient solution for metagenomic data analysis.