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Neofunctionalization, one of the possible outcomes of functional divergence, occurs when one gene copy, or paralog, takes on a totally new function after a gene duplication event. Neofunctionalization is an adaptive mutation process; meaning one of the gene copies must mutate to develop a function that was not present in the ancestral gene. In other…
The analysis highlights Examples, Selective constraints and Classical model as prominent areas in the source structure around Neofunctionalization.
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.
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.
The extracted context around Neofunctionalization shows recurring relationship patterns in the source. For example, Neofunctionalization → AFPIII, After, Another, Antarctic, Antarctic Seas, Extant, III, In, LWS, Lycodichthys, P12102, Rh1, Rh2, SAS, SWS1, SWS2, The, These, This Another extracted example is Neofunctionalization → For, In, Liberles, Neosubfunctionalization, Rastogi, Some, The. 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.
gene function one new duplication event copy copies process population mutation changes pseudogenization mutations functional divergence ancestral selective advantageous selection
TTTA extracted 52 structured relationships around Neofunctionalization. Examples in this analysis include Neofunctionalization → is a → adaptive mutation process and Neofunctionalization → is a → result of subfunctionalization. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Neofunctionalization | is a | adaptive mutation process | 0.90 | text |
| Neofunctionalization | is a | result of subfunctionalization | 0.90 | text |
| Neofunctionalization | is a | end stage for all subfunctionalized genes | 0.90 | text |
| Neofunctionalization | is a | terminal fate of all duplicate gene copies retained in the genome and subfunctionlization merely exist as a transient state to preserve the duplicate gene copy | 0.90 | text |
| Neofunctionalization | related to Classical model | In | 0.60 | section |
| Neofunctionalization | related to Classical model | Muller | 0.60 | section |
| Neofunctionalization | related to Classical model | Ohno | 0.60 | section |
| Neofunctionalization | related to Classical model | He | 0.60 | section |
| Neofunctionalization | related to Classical model | Ohta | 0.60 | section |
| Neofunctionalization | related to Classical model | Today | 0.60 | section |
| Neofunctionalization | related to Examples | The | 0.60 | section |
| Neofunctionalization | related to Examples | Antarctic | 0.60 | section |
The concept neighborhoods around Neofunctionalization bring nearby vocabulary together. In this analysis, examples include Gene, Duplication and Event. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Neofunctionalization, one of the stronger structural bridges in this analysis connects Neofunctionalization with Examples. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Neofunctionalization to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Examples, Selective constraints & Classical model, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Neofunctionalization · EN edition · Analysis: TopicsToTalkAbout