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

Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

804
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...
804
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

641
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...
641

You might also read

Related Articles

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

Sort by
Same author

Deep learning-powered quantification of endocrine cells and CD3<sup>+</sup> T cells in the natural history of type 1 diabetes.

Diabetologia·2026
Same author

Autosomal Dominant Tubulointerstitial Kidney Disease Clinical Trial Simulator: Case Reports of Model-Informed Drug Development.

CPT: pharmacometrics & systems pharmacology·2026
Same author

Sociodemographic and Health Factors Are Associated with Antimicrobial Resistance across Eight States in the United States.

Environmental science & technology·2026
Same author

How sequencing technology shapes our understanding of river water microbiomes and resistomes: a comparative study.

Applied and environmental microbiology·2025
Same author

Use of imaging biomarkers and ambulatory functional endpoints in Duchenne muscular dystrophy clinical trials: Systematic review and machine learning-driven trend analysis.

Journal of neuromuscular diseases·2025
Same author

No-tillage systems promote bacterial photosynthetic gene expression in low carbon, semi-arid surface soils.

Applied and environmental microbiology·2025

Related Experiment Video

Updated: Mar 11, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.9K

Hill number as a bacterial diversity measure framework with high-throughput sequence data.

Sanghoon Kang1, Jorge L M Rodrigues2, Justin P Ng3

  • 1Department of Biology, Baylor University, Waco, TX, USA.

Scientific Reports
|December 1, 2016
PubMed
Summary

Hill number effectively measures bacterial diversity by accounting for rare taxa. This framework, using taxa-accumulation curves, provides reliable microbial diversity estimates from next-generation sequencing data.

More Related Videos

Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization
12:37

Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization

Published on: April 14, 2016

40.5K
A Workflow for the Quantitative Assessment of the Endophytic and Epiphytic Bacterial Microbiomes of the Bark of Populus trichocarpa
12:05

A Workflow for the Quantitative Assessment of the Endophytic and Epiphytic Bacterial Microbiomes of the Bark of Populus trichocarpa

Published on: June 27, 2025

1.3K

Related Experiment Videos

Last Updated: Mar 11, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.9K
Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization
12:37

Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization

Published on: April 14, 2016

40.5K
A Workflow for the Quantitative Assessment of the Endophytic and Epiphytic Bacterial Microbiomes of the Bark of Populus trichocarpa
12:05

A Workflow for the Quantitative Assessment of the Endophytic and Epiphytic Bacterial Microbiomes of the Bark of Populus trichocarpa

Published on: June 27, 2025

1.3K

Area of Science:

  • Microbial Ecology
  • Bioinformatics
  • Ecosystem Science

Background:

  • Bacterial diversity is crucial for ecosystem function, but accurately measuring it is challenging.
  • Estimating the abundance and impact of rare bacterial taxa remains a significant hurdle in microbial ecology.
  • Current sequencing technologies face under- and random-sampling issues, complicating diversity assessment.

Purpose of the Study:

  • To investigate Hill number as a robust framework for quantifying microbial diversity.
  • To assess the reliability of Hill number for bacterial diversity estimation using taxa-accumulation curves (TACs).
  • To determine optimal sequencing depth for accurate biodiversity assessment.

Main Methods:

  • Utilized soil bacterial community data from two studies employing 454 pyrosequencing.
  • Applied taxa-accumulation curves (TACs) to analyze bacterial diversity.
  • Investigated Hill number (Na) to differentially weigh taxa, including rare ones.

Main Results:

  • Reliable biodiversity estimation was achieved when Hill number stabilized with increasing sequencing coverage in TACs (for q ≥ 1).
  • In silico analyses confirmed that adequate sampling depth is essential for dependable biodiversity estimates.
  • Hill number demonstrated effectiveness in managing variability introduced by rare taxa.

Conclusions:

  • Hill number provides a reliable framework for measuring bacterial diversity from second-generation sequencing data.
  • The study highlights the importance of achieving sufficient sequencing depth for accurate microbial diversity assessment.
  • Further technological advancements are needed to fully overcome sampling limitations in current sequencing approaches.