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CRuMs is a clade of microbial eukaryotes, whose name is an acronym of the following constituent groups: Collodictyonida, Rigifilida, and Mantamonas. It is a sister clade of the Amorphea. A new CRuMs order Glissandrida was proposed in 2025 to place the yet unclassified genus Glissandra. It more or less supersedes Varisulca, as Ancyromonadida are inferred…
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around CRuMs.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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The extracted context around CRuMs shows recurring relationship patterns in the source. For example, CRuMs → clade of microbial eukaryotes. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
rigifilida clade collodictyonida mantamonas glissandra diphylleida varisulca collodictyon differential interference contrast 2022 microbial eukaryotes acronym sister amorphea order glissandrida genus
TTTA extracted 1 structured relationship around CRuMs. Examples in this analysis include CRuMs → is a → clade of microbial eukaryotes. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| CRuMs | is a | clade of microbial eukaryotes | 0.90 | text |
The concept neighborhoods around CRuMs bring nearby vocabulary together. In this analysis, examples include Acronym, Constituent and Eukaryotes. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the CRuMs map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around CRuMs to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — CRuMs · EN edition · Analysis: TopicsToTalkAbout