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Begomovirus: Species, Diseases & Genome
Begomovirus is a genus of viruses, in the family Geminiviridae. They are plant viruses that as a group have a very wide host range, infecting dicotyledonous plants. Worldwide they are responsible for a considerable amount of economic damage to many important crops such as tomatoes, beans, squash, cassava and cotton. There are 466 species in this genus.
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Begomovirus topic overview
The analysis highlights Species, Diseases and Genome as prominent areas in the source structure around Begomovirus.
Related topics
494
Source areas
6
Connected nodes
500
Extracted relationships
327
Concept neighborhoods
476
Bridge connections
500
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.
Species · 462 topics
Diseases · 16 topics
Overview · 9 topics
Genome · 4 topics
Phylogenetics · 2 topics
Transmission · 1 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 Begomovirus 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 Begomovirus shows recurring relationship patterns in the source. For example, Begomovirus → Abutilon, Aceh, African, Ageratum, Ahmedabad, Alabad, Alagoas, Allamanda, Alternanthera, Amazonas, Andrographis, Anjouan, Aragua, Arusha, Asystasia, Axarquia, Bahraich, Bangalore, Bangladesh, Barasat Another extracted example is Begomovirus → Bean, Begomoviruses, BGYMV, Cambodia, Capsicum, Caribbean, Central America, Chilli, Disease, Dominican Republic, Florida, In, India, Indonesia, Israel, Mexico, Pepper, Several, Southeast Asia, Sri Lanka. Use these groups to spot repeated connection types before inspecting the individual relationships.
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 327 structured relationships around Begomovirus. Examples in this analysis include Begomovirus → is a → genus of viruses and tomatoes → instance of → Worldwide they are responsible for a considerable amount of economic damage to many important crops. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Begomovirus
is a
genus of viruses
0.90
text
tomatoes
instance of
Worldwide they are responsible for a considerable amount of economic damage to many important crops
0.80
text
beans
instance of
Worldwide they are responsible for a considerable amount of economic damage to many important crops
0.80
text
squash
instance of
Worldwide they are responsible for a considerable amount of economic damage to many important crops
0.80
text
cassava
instance of
Worldwide they are responsible for a considerable amount of economic damage to many important crops
0.80
text
cotton
instance of
Worldwide they are responsible for a considerable amount of economic damage to many important crops
0.80
text
Tomato yellow leaf curl virus
instance of
Those begomovirus species infecting tomato
0.80
text
Trinidad
instance of
In countries where these viruses have become widespread
0.80
text
the Dominican Republic
instance of
In countries where these viruses have become widespread
0.80
text
Mexico
instance of
In countries where these viruses have become widespread
0.80
text
much of Central America
instance of
In countries where these viruses have become widespread
0.80
text
Israel
instance of
In countries where these viruses have become widespread
0.80
text
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 Begomovirus bring nearby vocabulary together. In this analysis, examples include Yellow, Mosaic and Tomato. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
macroptilium common mosaic virus
Yellow
Virus
Disease
Tomato
Species
Components
Known
Leaf
Worldwide
Pepper
India
May
sida common mosaic virus
Yellow
Virus
Disease
Tomato
Species
Components
Known
Leaf
Worldwide
Pepper
India
May
tomato common mosaic virus
Yellow
Pepper
Virus
Disease
Tomato
Species
Viruses
Components
Known
Leaf
Worldwide
India
common bean severe mosaic virus
Yellow
Virus
Disease
Tomato
Species
Components
Known
Leaf
Worldwide
Pepper
India
May
common bean mottle virus
Yellow
Components
Known
Disease
Worldwide
Pepper
Virus
India
Leaf
May
Protein
Rep
Begomovirus
Yellow
Mosaic
Tomato
Genus
Leaf
Species
Disease
Virus
Viruses
Worldwide
Common
India
begomovirus
Yellow
Mosaic
Tomato
Genus
Leaf
Species
Disease
Virus
Viruses
Worldwide
Common
India
tomato yellow leaf curl virus
Mosaic
Begomovirus
Disease
Pepper
Tomato
Yellow
Worldwide
Virus
Leaf
Viruses
Species
Genus
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 Begomovirus, one of the stronger structural bridges in this analysis connects Begomovirus with Species. 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.
Begomovirus
Nodes501
Edges500
Triples327
Avg. degree2
Density0.003992
Components1
Source & methodology
TTTA analyzes the structure around Begomovirus to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Species, Diseases & Genome, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
