Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

145
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...
145
MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

5.4K
Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.
Matrix-assisted laser desorption ionization (MALDI) is a commonly...
5.4K
Factors Influencing Microbial Growth: Temperature01:27

Factors Influencing Microbial Growth: Temperature

305
Microorganisms display remarkable adaptations, enabling them to thrive in diverse ecological niches across a wide range of temperatures. Temperature profoundly influences microbial growth by affecting enzymatic activity, membrane fluidity, and other cellular processes.Each microorganism operates within a specific temperature range defined by three cardinal points: minimum, optimum, and maximum. Below the minimum temperature, membranes lose fluidity, halting transport processes. Above the...
305
Environmental Applications of Microorganisms01:30

Environmental Applications of Microorganisms

335
Microorganisms play a pivotal role in maintaining ecosystem balance by recycling essential elements such as carbon, nitrogen, and phosphorus, as well as supporting processes like bioremediation, wastewater treatment, and biofuel production.Microbes in Elemental CyclesIn the carbon cycle, microorganisms decompose organic matter, releasing carbon dioxide via aerobic respiration. This carbon dioxide is subsequently used by photosynthetic organisms to synthesize organic compounds, closing the...
335
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

194
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...
194
Microorganisms in Medicine and Therapeutics01:29

Microorganisms in Medicine and Therapeutics

417
Microorganisms play a fundamental role in vaccine development, gene therapy, and therapeutic production. Their biological properties are harnessed to advance medicine and public health. Beyond immunization, microorganisms contribute to gut health, antibiotic synthesis, and genetic disease treatment.Live Attenuated and Inactivated VaccinesLive attenuated vaccines, such as the measles, mumps, and rubella (MMR) vaccine, utilize weakened forms of pathogens to closely resemble natural infections.
417

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A pan-cancer single-cell atlas uncovers the role of sex hormones and chromosomes in sex-divergent reprogramming of the tumor microenvironment.

Cell communication and signaling : CCS·2026
Same author

Altered GABA and secondary bile acids in Guillain-Barré syndrome: association with gut dysbiosis.

Frontiers in immunology·2026
Same author

Sulfated bile acid produced by a human gut commensal alleviates paediatric sepsis in mice.

Nature microbiology·2026
Same author

CRISPR Screening Reveals SAA1-Driven Neutrophil Extracellular Traps Promote CD8⁺ T Cell Dysfunction in Renal Cell Carcinoma.

Cancer research·2026
Same author

Global Soil Water Stable Isotope Dataset.

Scientific data·2026
Same author

Unraveling the colonization process of microeukaryotic communities on artificial micro-ecological islands.

Environmental microbiome·2026

Related Experiment Video

Updated: Sep 25, 2025

Author Spotlight: Unraveling the Mysteries of Terrestrial Anaerobic Microorganisms in Uncharted Environments by In Situ Culturing
07:56

Author Spotlight: Unraveling the Mysteries of Terrestrial Anaerobic Microorganisms in Uncharted Environments by In Situ Culturing

Published on: January 12, 2024

1.1K

Microbial Dark Matter: from Discovery to Applications.

Yuguo Zha1, Hui Chong1, Pengshuo Yang1

  • 1MOE Key Laboratory of Molecular Biophysics, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center of Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.

Genomics, Proteomics & Bioinformatics
|April 27, 2022
PubMed
Summary
This summary is machine-generated.

Microbiome research uncovers vast "microbial dark matter" of unknown species and genes. Artificial intelligence (AI) methods offer powerful tools for exploring this data to advance understanding of microbial communities and address global health and environmental challenges.

Keywords:
ApplicationArtificial intelligenceDark matterKnowledge discoveryMicrobiome

More Related Videos

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy DHM
07:27

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy DHM

Published on: November 1, 2017

10.5K
Microbial Communities in Nature and Laboratory - Interview
29:13

Microbial Communities in Nature and Laboratory - Interview

Published on: May 28, 2007

6.4K

Related Experiment Videos

Last Updated: Sep 25, 2025

Author Spotlight: Unraveling the Mysteries of Terrestrial Anaerobic Microorganisms in Uncharted Environments by In Situ Culturing
07:56

Author Spotlight: Unraveling the Mysteries of Terrestrial Anaerobic Microorganisms in Uncharted Environments by In Situ Culturing

Published on: January 12, 2024

1.1K
Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy DHM
07:27

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy DHM

Published on: November 1, 2017

10.5K
Microbial Communities in Nature and Laboratory - Interview
29:13

Microbial Communities in Nature and Laboratory - Interview

Published on: May 28, 2007

6.4K

Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Increasing volume of microbiome samples and sequencing data.
  • Significant knowledge gaps remain regarding microbial communities, termed 'microbial dark matter'.
  • This includes billions of novel species and genes, and complex spatiotemporal dynamics.

Purpose of the Study:

  • To summarize the concept of microbial dark matter in microbiome research.
  • To review current data mining methods, particularly artificial intelligence (AI), for knowledge discovery from microbial dark matter.
  • To present case studies of AI applications in microbiome data mining.

Main Methods:

  • Literature review of microbial dark matter and data mining techniques.
  • Focus on artificial intelligence (AI) and machine learning algorithms.
  • Analysis of case studies demonstrating AI in microbiome research.

Main Results:

  • Microbial dark matter represents a vast, unexplored frontier in microbial ecology.
  • AI methods are effective for extracting knowledge from complex microbiome datasets.
  • Case studies illustrate successful applications of AI in identifying novel microbial insights.

Conclusions:

  • Microbial dark matter is an opportunity for AI-driven exploration, not a limitation.
  • AI can significantly advance our understanding of microbial communities.
  • This research can lead to improved solutions for human health and environmental issues.