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Microbiome: Members & Measurement

A microbiome (from Ancient Greek μικρός (mikrós) 'small' and βίος (bíos) 'life') is the community of microorganisms that can usually be found living together in any given habitat. It was defined more precisely in 1988 by Whipps et al. as "a characteristic microbial community occupying a reasonably well-defined habitat which has distinct physio-chemical…

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Microbiome topic overview

The analysis highlights Members and Measurement as prominent areas in the source structure around Microbiome.

Related topics
183
Source areas
5
Connected nodes
188
Extracted relationships
70
Concept neighborhoods
36
Bridge connections
188

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 67 topics
Background · 44 topics
Membership · 28 topics
Assessment · 27 topics
Types · 17 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Background

Membership

Types

Assessment

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Microbiome connects Entity context

The extracted context around Microbiome shows recurring relationship patterns in the source. For example, Microbiome → All, By, However, In, Lederberg, Many, Marchesi, Microbial, More, Ravel, They, This, Whipps Another extracted example is Microbiome → Based, Complex, Currently, DNA, For, In, Methods, RNA, While. Use these groups to spot repeated connection types before inspecting the individual relationships.

Microbiome

Top relations

related to Definitions · 13
Microbiome → All, By, However, In, Lederberg, Many, Marchesi, Microbial, More, Ravel, They, This, Whipps
related to Assessment · 9
Microbiome → Based, Complex, Currently, DNA, For, In, Methods, RNA, While
related to Microbiota · 9
Microbiome → As, Despite, DNA, Microbiota, Most, Relic DNA, The, There, When
related to Networks · 8
Microbiome → Co-occurrence, Microbes, Negative, Neutral, Nodes, Positive, Testing, The
related to Marine · 7
Microbiome → All, Earth, However, In, Marine, Some, The
related to history · 5
Microbiome → Additionally, One Health Concept, Paradigm, Since, The
related to Etymology · 4
Microbiome → Greek, Mohr, The, The Scientific Monthly
is a · 1
Microbiome → aggregate of all microbiota that reside on or within human tissues and biofluids along with the corresponding anatomical sites in which they reside
see also · 1
Microbiome → Earth Microbiome ProjectHuman

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

microbial microorganisms microbiota interactions host microbes microbiomes bacteria plant health human environment new marine animal archaea community diverse fungi viruses

Microbiome relationships Subject–Predicate–Object triples

TTTA extracted 70 structured relationships around Microbiome. Examples in this analysis include Microbiome → is a → aggregate of all microbiota that reside on or within human tissues and biofluids along with the corresponding anatomical sites in which they reside and the 16S rRNA gene for microbial community analysis by Carl Woese → instance of → DNA and RNA-based approaches.A further important step was the introduction of phylogenetic markers. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Microbiomeis aaggregate of all microbiota that reside on or within human tissues and biofluids along with the corresponding anatomical sites in which they reside0.90text
the 16S rRNA gene for microbial community analysis by Carl Woeseinstance ofDNA and RNA-based approaches.A further important step was the introduction of phylogenetic markers0.80text
George Einstance ofDNA and RNA-based approaches.A further important step was the introduction of phylogenetic markers0.80text
sewage lagoons.In addition to oligotrophicinstance ofand do well in high organic substrate conditions0.80text
copiotrophic strategistsinstance ofand do well in high organic substrate conditions0.80text
the competitorinstance ofand do well in high organic substrate conditions0.80text
sea squirtsinstance offrom simplistic organisms including sponges and ctenophores to more complex organisms0.80text
sharks.The relationship between the Hawaiian bobtail squidinstance offrom simplistic organisms including sponges and ctenophores to more complex organisms0.80text
the bioluminescent bacterium Aliivibrio fischeri is one of the best studied symbiotic relationships in the seainstance offrom simplistic organisms including sponges and ctenophores to more complex organisms0.80text
is a choice system for general symbiosis researchinstance offrom simplistic organisms including sponges and ctenophores to more complex organisms0.80text
flux balance analysis to predict the metabolic function of the microbial community at a taxoninstance ofA popular in silico method is to combine metabolic network models of microbial taxa present in a community and use a mathematical modeling strategy0.80text
community-level.As of 2020instance ofA popular in silico method is to combine metabolic network models of microbial taxa present in a community and use a mathematical modeling strategy0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Microbiome bring nearby vocabulary together. In this analysis, examples include Microbiota, Microbial and Host. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Microbiome
    • Microbiota
    • Microbial
    • Host
    • Term
    • Definition
    • Studies
    • Diverse
    • Also
    • Interactions
    • Human
    • Members
    • Animal
  • microbiome
    • Microbiota
    • Microbial
    • Host
    • Term
    • Definition
    • Studies
    • Diverse
    • Also
    • Interactions
    • Human
    • Members
    • Animal
  • community of microorganisms
    • Hosts
    • Definition
    • Microbial
    • Human
    • First
    • Term
    • New
    • Interactions
    • Change
    • Communities
    • Fungi
    • Genomes
  • microbiota
    • Members
    • Plant
    • Human
    • Viruses
    • Microbial
    • Dna
    • Microorganisms
    • Host
    • Interactions
    • Fungi
    • Archaea
    • Studies
  • phytoplankton microbiome
    • Microbiota
    • Microbial
    • Host
    • Term
    • Definition
    • Studies
    • Diverse
    • Also
    • Interactions
    • Human
    • Members
    • Animal
  • plant microbiome
    • Microbiota
    • Microbial
    • Host
    • Term
    • Definition
    • Studies
    • Diverse
    • Also
    • Interactions
    • Human
    • Members
    • Animal
  • plant microbiota
    • Members
    • Plant
    • Human
    • Viruses
    • Microbial
    • Within
    • Dna
    • Microorganisms
    • Host
    • Interactions
    • Fungi
    • Archaea
  • gut microbiome
    • Microbiota
    • Microbial
    • Host
    • Term
    • Definition
    • Studies
    • Diverse
    • Also
    • Interactions
    • Human
    • Members
    • Animal

Connections between topic areas Semantic bridges

For Microbiome, one of the stronger structural bridges in this analysis connects Microbiome with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Microbiome — Overview · splits 121 ⟂ 68
Microbiome — Background · splits 144 ⟂ 45
Microbiome — Membership · splits 160 ⟂ 29
Microbiome — Assessment · splits 161 ⟂ 28
Microbiome — Types · splits 171 ⟂ 18

Map overview Semantic statistics

Microbiome

Nodes189
Edges188
Triples70
Avg. degree1.99
Density0.010582
Components1

Source & methodology

TTTA analyzes the structure around Microbiome to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Members & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Microbiome · EN edition · Analysis: TopicsToTalkAbout

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