Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Gene Regulation in Microbial Communities: Quorum Sensing

Gene Regulation in Microbial Communities: Quorum Sensing

Quorum sensing is a mechanism of bacterial communication that enables coordinated gene expression in response to changes in population density. This facilitates collective behaviors that enhance survival, resource acquisition, and ecological adaptation. This process relies on small signaling molecules called autoinducers that accumulate as bacterial populations grow. When a critical threshold concentration of autoinducers is reached, bacterial cells collectively modify gene expression,...

What are Populations and Communities?

What are Populations and Communities?

Stream Function

Stream Function

In two-dimensional incompressible fluid flow, the continuity equation is essential for ensuring mass conservation, meaning that any change in fluid entering or exiting a region is balanced by a corresponding change elsewhere. For incompressible flow, where density remains constant, this requirement simplifies to the condition that the divergence of the velocity field must be zero. Mathematically, this is expressed as,

Classifying Matter by Composition

Classifying Matter by Composition

Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures.
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated.
A mixture is composed of two or...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Network Covalent Solids

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...

You might also read

Related Articles

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

Sort by

Same author

Biogeochemical Assessment of Short-Term Hydrogen Storage in Methane Reservoirs with Field Sample Characterization and Reactor Experiments.

ACS omega·2026

Same author

Large temperature excursions have modest impacts on community composition in the high diversity gut microbiome of omnivorous American cockroaches (<i>Periplaneta americana</i>).

Microbiology spectrum·2026

Same author

Next-Generation Sequencing Strategies During the 2024-2025 Avian Influenza A(H5N1) Emergency Response in the U.S.

Viruses·2026

Same author

Understanding spatiotemporal clustering of seasonal influenza in the United States.

BMC infectious diseases·2026

Same author

Nomenclature for Tracking of Genetic Variation of Seasonal Influenza Viruses.

Influenza and other respiratory viruses·2026

Same author

Niche specialization and cross-feeding interactions shaping gut microbial fiber degradation in a model omnivore.

bioRxiv : the preprint server for biology·2026

Same journal

Single-Cell Division Triggers Immediate Efflux Phenotypic Switching to Environmental Toxins in Escherichia coli.

Environmental microbiology·2026

Same journal

Isolation of a Cohort of Giant Viruses From Above the Arctic Circle in Northern Norway.

Environmental microbiology·2026

Same journal

Multi-Omics Profiling of the Scaphoideus titanus Yeast-Like Symbiont Guides the Bioinformatic Discovery of Related Fungal Symbioses in Insects.

Environmental microbiology·2026

Same journal

Spatial and Melt-Season Controls on the Downstream Contribution and Persistence of Glacier-Originating Bacteria Along a Glacier-Fed Stream Continuum.

Environmental microbiology·2026

Same journal

A Novel Polyphosphate-Degrading Enzyme Confers Growth on Exogenous Polyphosphate in the Archaeon Haloferax volcanii.

Environmental microbiology·2026

Same journal

Immune-Inflammatory Imbalance in Mice Under High Humidity and Three Different Ambient Temperatures: Insights From Gut Microbiome and Serum Metabolomics.

Environmental microbiology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 7, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Temporal and spatial dynamics in microbial community composition within a temperate stream network.

Norman Hassell^1,2, Kara A Tinker¹, Thomas Moore³

¹Department of Microbiology, University of Georgia, Athens, GA, USA.

Environmental Microbiology

|July 28, 2018

Summary

This summary is machine-generated.

Stream microbial communities vary spatially and temporally. Succession patterns, where freshwater taxa increase downstream, were observed in some seasons but not others, indicating dynamic community structuring influenced by environmental factors.

More Related Videos

Investigating the Microbial Community in the Termite Hindgut - Interview

Investigating the Microbial Community in the Termite Hindgut - Interview

Published on: May 28, 2007

A Novel Bioreactor for High Density Cultivation of Diverse Microbial Communities

A Novel Bioreactor for High Density Cultivation of Diverse Microbial Communities

Published on: December 25, 2015

Related Experiment Videos

Last Updated: Feb 7, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Investigating the Microbial Community in the Termite Hindgut - Interview

Investigating the Microbial Community in the Termite Hindgut - Interview

Published on: May 28, 2007

A Novel Bioreactor for High Density Cultivation of Diverse Microbial Communities

A Novel Bioreactor for High Density Cultivation of Diverse Microbial Communities

Published on: December 25, 2015

Area of Science:

Environmental microbiology
Aquatic ecology
Stream ecology

Background:

Stream water columns harbor distinct microbial communities.
These communities are influenced by dispersal and in-stream selection.
Spatial and temporal dynamics of stream microbial communities are poorly understood.

Purpose of the Study:

To investigate spatial and temporal trends in stream microbial community composition.
To analyze community structure across a stream network (first through fifth order).
To understand factors influencing microbial diversity and taxa composition in streams.

Main Methods:

Characterized microbial community composition across a stream network.
Analyzed seasonal variations in community structure.
Assessed relationships between community composition and upstream dendritic distance.

Main Results:

Headwater streams showed high diversity with soil/sediment taxa.
A successional pattern (decreasing diversity, increasing freshwater taxa downstream) was found in 3/5 samplings.
In 2/5 samplings, uniform high diversity and no distance-related freshwater taxa were observed.

Conclusions:

Stream microbial community structure is dynamic and varies seasonally and spatially.
Successional processes can be disrupted at landscape scales.
Environmental factors like temperature and precipitation may influence these dynamics.