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

Methods to Assess Microbial Communities01:19

Methods to Assess Microbial Communities

16
Microbial communities, comprising bacteria, archaea, and eukaryotic microorganisms, inhabit diverse ecosystems and play crucial roles in environmental and biological processes. Their diversity is defined by three main parameters: species richness (the number of distinct species), species abundance (the relative quantity of each species), and species evenness (how uniformly individual species are distributed in various locations). These factors together shape the structure and ecological balance...
16
Introduction to Microbial Ecology01:28

Introduction to Microbial Ecology

21
Microbial ecology examines the complex web of interactions and diversity among microorganisms within various ecosystems. This field seeks to understand how microbial populations adapt to and influence their environments and how these interactions shape broader ecological processes. Microbes are integral to ecosystem function, participating in nutrient cycling, energy flow, and the maintenance of environmental homeostasis.An ecosystem represents a dynamic interaction between living organisms...
21
Methods to Assess Microbial Populations01:30

Methods to Assess Microbial Populations

25
Assessing microbial populations is crucial for understanding microbial roles in health, ecology, and industry. Various complementary techniques—both culture-based and molecular—enable detailed analysis of microbial abundance, diversity, and function.Viable Plate CountThe viable plate count is a traditional culture-based method used to estimate the number of living microbes in a sample. After serial dilution, the sample is spread onto nutrient agar plates. Each viable cell forms a...
25
Microbial Classification System01:24

Microbial Classification System

1.6K
Classification is the process of organizing organisms into hierarchically inclusive groups based on their phenotypic similarities or evolutionary relationships. A species comprises one or more strains, and closely related species are grouped into genera. Genera are further classified into families, families into orders, orders into classes, and so forth, up to the domain level, which is the broadest taxonomic rank derived from a combination of phenotypic and genotypic data.The nomenclature of...
1.6K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

321
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
321
Reliability and Validity01:29

Reliability and Validity

14.3K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.3K

You might also read

Related Articles

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

Sort by
Same author

Lost and found: Rediscovering microbiome-associated phenotypes that reshape agricultural sustainability.

Science advances·2026
Same author

Signatures of local nitrogen adaptation in the Brachypodium distachyon root microbiome.

The New phytologist·2025
Same author

Contrasting rhizosphere nitrogen dynamics in Andropogoneae grasses.

The Plant journal : for cell and molecular biology·2025
Same author

Standardizing postoperative pain control for decompression of pediatric Chiari type I malformation by limiting narcotic usage.

Journal of neurosurgery. Pediatrics·2025
Same author

Detect and attribute the extreme maize yield losses based on spatio-temporal deep learning.

Fundamental research·2024
Same author

Nitrous oxide and methane production and consumption at five full-size denitrifying bioreactors treating subsurface drainage water.

The Science of the total environment·2024
Same journal

Spatiotemporal and hydrodynamic influences on microbial and exometabolite dynamics in coral reef and seagrass ecosystems.

The ISME journal·2026
Same journal

Photosynthesis-driven interactions in the phycosphere enhance bacterial extracellular superoxide production.

The ISME journal·2026
Same journal

Correction to: Keystone protist suppression triggers mesopredator release and biotic homogenization in complex soil microbial communities.

The ISME journal·2026
Same journal

Stoichiometric analysis of microbial communities links function, structure, and biomass carrying capacity.

The ISME journal·2026
Same journal

Isolation of Allocrenothrix methanica reveals distinct ecophysiologies of filamentous methanotrophs and adaptations to O2 limitation.

The ISME journal·2026
Same journal

Minimising decompression and warming during deep seawater collection increases abundance and activity of autochthonous bacteria and archaea.

The ISME journal·2026
See all related articles

Related Experiment Video

Updated: Mar 25, 2026

Growing a Cystic Fibrosis-Relevant Polymicrobial Biofilm to Probe Community Phenotypes
03:53

Growing a Cystic Fibrosis-Relevant Polymicrobial Biofilm to Probe Community Phenotypes

Published on: April 19, 2024

1.3K

Microbial community modeling using reliability theory.

Julie L Zilles1, Luis F Rodríguez2, Nicholas A Bartolerio1

  • 1Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.

The ISME Journal
|February 17, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces reliability engineering to link microbial communities with ecosystem functions. This approach helps assess ecosystem stability and identify areas for improvement in engineered systems.

More Related Videos

Tools for the Real-Time Assessment of a Pseudomonas aeruginosa Infection Model
07:39

Tools for the Real-Time Assessment of a Pseudomonas aeruginosa Infection Model

Published on: April 6, 2021

4.3K
Assessing the Viability of a Synthetic Bacterial Consortium on the In Vitro Gut Host-microbe Interface
10:24

Assessing the Viability of a Synthetic Bacterial Consortium on the In Vitro Gut Host-microbe Interface

Published on: July 4, 2018

12.4K

Related Experiment Videos

Last Updated: Mar 25, 2026

Growing a Cystic Fibrosis-Relevant Polymicrobial Biofilm to Probe Community Phenotypes
03:53

Growing a Cystic Fibrosis-Relevant Polymicrobial Biofilm to Probe Community Phenotypes

Published on: April 19, 2024

1.3K
Tools for the Real-Time Assessment of a Pseudomonas aeruginosa Infection Model
07:39

Tools for the Real-Time Assessment of a Pseudomonas aeruginosa Infection Model

Published on: April 6, 2021

4.3K
Assessing the Viability of a Synthetic Bacterial Consortium on the In Vitro Gut Host-microbe Interface
10:24

Assessing the Viability of a Synthetic Bacterial Consortium on the In Vitro Gut Host-microbe Interface

Published on: July 4, 2018

12.4K

Area of Science:

  • Microbial ecology
  • Environmental engineering
  • Systems biology

Background:

  • Linking microbial community composition to ecosystem functions is difficult.
  • Varied functional responses of microbial communities hinder ecosystem assessment and management.
  • A gap exists in modeling microbial populations and their functional differences.

Purpose of the Study:

  • To propose a novel reliability engineering approach for modeling microbial communities.
  • To characterize functional differences and stability within microbial ecosystems.
  • To provide tools for managing engineered ecosystems.

Main Methods:

  • Applied reliability modeling to a microbial ecology dataset.
  • Utilized principles from reliability engineering to analyze microbial networks.
  • Focused on stability, redundancy, and failure-prone groups in microbial communities.

Main Results:

  • Reliability modeling effectively analyzes the stability of complex microbial networks.
  • The approach can evaluate functional redundancy within biochemical pathways.
  • Identified failure-prone microbial groups and biochemical steps.

Conclusions:

  • Reliability engineering offers a new perspective on microbial diversity, functional redundancy, and ecosystem services.
  • This approach provides practical tools for designing and managing engineered ecosystems.
  • Enables targeted monitoring and enhancement of microbial systems.