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

Microbial Nutrition01:28

Microbial Nutrition

1.8K
Organisms exhibit remarkable metabolic diversity, categorized based on how they acquire energy and carbon. These strategies enable survival in various ecological niches and are essential for maintaining energy flow and nutrient cycling within ecosystems.Energy and Carbon SourcesOrganisms are classified as phototrophs or chemotrophs based on energy acquisition. Phototrophs use light as their energy source, while chemotrophs rely on oxidizing chemical compounds. Further differentiation arises...
1.8K
Diversity of Archaea I01:30

Diversity of Archaea I

795
Archaea, a domain of single-celled microorganisms, are classified into five major phyla based on genetic and biochemical characteristics: Euryarchaeota, Crenarchaeota, Thaumarchaeota, Korarchaeota, and Nanoarchaeota. Among these, the phylum Euryarchaeota is notable for its remarkable diversity in morphology, metabolism, and ecological adaptations.Morphological and Metabolic DiversityMembers of Euryarchaeota exhibit a variety of cellular shapes, including rods and cocci. Their metabolic pathways...
795
Metabolism of Chemolithotrophs01:15

Metabolism of Chemolithotrophs

1.1K
Chemolithotrophs are microorganisms that obtain energy by oxidizing inorganic molecules such as hydrogen gas (H₂), ammonia (NH₃), reduced sulfur compounds (H₂S, S²⁻), and ferrous iron (Fe²⁺). Unlike heterotrophic organisms that rely on organic carbon, chemolithotrophs transfer electrons from these inorganic donors to the electron transport chain (ETC), generating a proton motive force (PMF) that drives ATP synthesis through oxidative phosphorylation.
1.1K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.2K
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...
7.2K
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

815
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...
815
Speciation Rates01:07

Speciation Rates

23.3K
Overview
23.3K

You might also read

Related Articles

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

Sort by
Same author

Association between multi-intensity olfactory test performance and the Montreal Cognitive Assessment score after adjustment for gray matter volume.

Scientific reports·2026
Same author

Axial Length Growth Reference Curves and LMS Parameters for Japanese Children and Adolescents Aged 4-20 Years: The TMM BirThree Cohort Study.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)·2026
Same author

Maternal Cardiovascular Health During Pregnancy and Offspring Developmental Delay.

JAMA network open·2026
Same author

Bidirectional associations of screen time with externalizing and internalizing behaviors in children: a random intercept cross-lagged panel model.

American journal of epidemiology·2026
Same author

Knowledge of Colorectal Cancer Risk and Cancer Screening, with Colorectal Cancer Screening Attendance: A Nationwide Study in Japan (INFORM Study, 2020).

Asian Pacific journal of cancer prevention : APJCP·2026
Same author

Response to: Comment on: Association of subjective and objective physical activity with home hypertension.

Hypertension research : official journal of the Japanese Society of Hypertension·2026

Related Experiment Video

Updated: Mar 16, 2026

A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

15.0K

The structural origin of metabolic quantitative diversity.

Seizo Koshiba1,2, Ikuko Motoike1,3, Kaname Kojima1,2

  • 1Tohoku Medical Megabank organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, 980-8573 Japan.

Scientific Reports
|August 17, 2016
PubMed
Summary

Investigating enzyme structural variants and metabolic phenotypes in humans revealed significant associations between metabolites and non-synonymous variants. These findings link genetic variations to metabolic individuality and disease susceptibility.

More Related Videos

Why Quantification Matters: Characterization of Phenotypes at the Drosophila Larval Neuromuscular Junction
10:41

Why Quantification Matters: Characterization of Phenotypes at the Drosophila Larval Neuromuscular Junction

Published on: May 12, 2016

8.6K
A Method for Measuring Metabolism in Sorted Subpopulations of Complex Cell Communities Using Stable Isotope Tracing
07:41

A Method for Measuring Metabolism in Sorted Subpopulations of Complex Cell Communities Using Stable Isotope Tracing

Published on: February 4, 2017

9.0K

Related Experiment Videos

Last Updated: Mar 16, 2026

A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

15.0K
Why Quantification Matters: Characterization of Phenotypes at the Drosophila Larval Neuromuscular Junction
10:41

Why Quantification Matters: Characterization of Phenotypes at the Drosophila Larval Neuromuscular Junction

Published on: May 12, 2016

8.6K
A Method for Measuring Metabolism in Sorted Subpopulations of Complex Cell Communities Using Stable Isotope Tracing
07:41

A Method for Measuring Metabolism in Sorted Subpopulations of Complex Cell Communities Using Stable Isotope Tracing

Published on: February 4, 2017

9.0K

Area of Science:

  • Human Genetics
  • Metabolomics
  • Population Studies

Background:

  • Understanding the link between genetic variations and metabolic phenotypes is crucial for personalized medicine.
  • Enzyme structural variants can influence metabolic pathways and disease risk.

Purpose of the Study:

  • To investigate the relationship between enzyme structural variants and metabolic phenotypes in a human population.
  • To identify specific genetic variants associated with metabolite quantitative traits.

Main Methods:

  • Association study of metabolite quantitative traits with whole genome sequence data.
  • Analysis of 512 individuals from a population cohort.
  • Structural analysis of identified non-synonymous variants.

Main Results:

  • Five significant associations between metabolites and non-synonymous variants were identified.
  • Four variants in enzymes involved in metabolic disorders were located in peripheral regions of catalytic sites or regulatory domains.
  • Rare variants near catalytic sites were associated with larger metabolite level changes in two individuals.

Conclusions:

  • Variant frequency, structural location, and phenotypic effect correlate in human populations.
  • Metabolic individuality and disease susceptibility may arise from both moderate and rare genetic variants.