Pseudomonadota (synonym "Proteobacteria") is a major phylum of gram-negative bacteria. They include both pathogenic and free-living (non-parasitic) genera. The phylum comprises six classes: Acidithiobacillia, Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria, Hydrogenophilia, and Zetaproteobacteria. Pseudomonadota are very diverse, with…
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Pseudomonadota topic overview
The analysis highlights Characters, Characteristics and Classification as prominent areas in the source structure around Pseudomonadota.
Related topics
121
Source areas
6
Connected nodes
127
Extracted relationships
102
Concept neighborhoods
21
Bridge connections
127
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.
Characteristics · 29 topics
Significance · 25 topics
Taxonomy · 25 topics
Classification · 24 topics
Overview · 13 topics
Transformation · 5 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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Pseudomonadota connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Pseudomonadota shows recurring relationship patterns in the source. For example, Pseudomonadota → American, Bdellovibrionota, Carl Woese, Deltaproteobacteria, Desulfobacterota, Escherichia, Greek, However, In, International Committee, Legionella, Myxococcota, Oligoflexia, Others, Previously, Prokaryotes, Proteobacteria, Proteus, Salmonella, Systematics Another extracted example is Pseudomonadota → Actinobacteria, Additionally, Another, Bacteroidetes, Betaproteobacteria, Changes, Classes Betaproteobacteria, Considering, Firmicutes, Gammaproteobacteria, GI, In, Michail, Microorganism, NAFLD, Proteobacteria, SAF, Studies, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
Pseudomonadota
Top relations
related to Classification· 24
Pseudomonadota → American, Bdellovibrionota, Carl Woese, Deltaproteobacteria, Desulfobacterota, Escherichia, Greek, However, In, International Committee, Legionella, Myxococcota, Oligoflexia, Others, Previously, Prokaryotes, Proteobacteria, Proteus, Salmonella, Systematics
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 102 structured relationships around Pseudomonadota. Examples in this analysis include the horse pathogen Burkholderia mallei → instance of → They include opportunistic pathogens and nutrient cycling → instance of → and play a crucial role in the surrounding ecosystem by performing functions. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
the horse pathogen Burkholderia mallei
instance of
They include opportunistic pathogens
0.80
text
and Burkholderia cepacia
instance of
They include opportunistic pathogens
0.80
text
which causes respiratory tract infections in people with cystic fibrosis.The Gammaproteobacteria are one of the largest classes in terms of genera
instance of
They include opportunistic pathogens
0.80
text
containing approximately 250 genera
instance of
They include opportunistic pathogens
0.80
text
nutrient cycling
instance of
and play a crucial role in the surrounding ecosystem by performing functions
0.80
text
carbon dioxide fixation
instance of
and play a crucial role in the surrounding ecosystem by performing functions
0.80
text
decomposition
instance of
and play a crucial role in the surrounding ecosystem by performing functions
0.80
text
and nitrogen fixation
instance of
and play a crucial role in the surrounding ecosystem by performing functions
0.80
text
Pseudomonadota
has impact
As
0.60
section
Pseudomonadota
has impact
Pseudomonas
0.60
section
Pseudomonadota
has impact
Xanthomonas
0.60
section
Pseudomonadota
has impact
Photolithotrophs
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Pseudomonadota bring nearby vocabulary together. In this analysis, examples include Within, Genetic and Variety. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
phylum
Pseudomonadota
Classes
Epsilonproteobacteria
Proteobacteria
Within
Escherichia
Alphaproteobacteria
Zetaproteobacteria
Acidithiobacillia
Also
Many
Gammaproteobacteria
betaproteobacteria
Gammaproteobacteria
Classes
Hydrogenophilalia
Zetaproteobacteria
Oral
Human
Class
Phylum
Escherichia
Diverse
Heterotrophs
Also
gram-negative bacteria
Fixation
Others
Also
Include
Pseudomonadota
Proteobacteria
Phylum
Diverse
Group
Heterotrophs
Identified
Pseudomonas
acidithiobacillia
Alphaproteobacteria
Betaproteobacteria
Gammaproteobacteria
Hydrogenophilalia
Zetaproteobacteria
Class
Classes
Escherichia
Phylum
Also
Order
Transformation
alphaproteobacteria
Betaproteobacteria
Hydrogenophilalia
Zetaproteobacteria
Gammaproteobacteria
Classes
Escherichia
Phylum
Also
Order
Transformation
Al
Et
bacteria
Fixation
Others
Also
Include
Pseudomonadota
Proteobacteria
Phylum
Diverse
Group
Heterotrophs
Identified
Pseudomonas
zetaproteobacteria
Alphaproteobacteria
Acidithiobacillia
Gammaproteobacteria
Betaproteobacteria
Escherichia
Diverse
Group
Hydrogenophilalia
Phylum
Also
Transformation
Al
gammaproteobacteria
Escherichia
Zetaproteobacteria
Al
Et
Human
Phylum
Hydrogenophilalia
Pseudomonas
Also
Oral
Transformation
Proteobacteria
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Pseudomonadota, one of the stronger structural bridges in this analysis connects Pseudomonadota with Characteristics. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Pseudomonadota
Nodes128
Edges127
Triples102
Avg. degree1.98
Density0.015625
Components1
Source & methodology
TTTA analyzes the structure around Pseudomonadota to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Characters, Characteristics & Classification, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
