In biology, Archezoa is a term that has been introduced by several authors to refer to a group of organisms (a taxon). Authors include Josef Anton Maximilian Perty, Ernst Haeckel and in the 20th century by Thomas Cavalier-Smith in his classification system. Each author used the name to refer to categories of organisms described by different sets of shared characteristics. This reuse by later authors of the same taxon name for different groups of organisms is problematic in taxonomy because the inclusion of the name in a sentence such as "Archezoa have no olfactory organs" does not make sense u
In biology, Archezoa is a term that has been introduced by several authors to refer to a group of organisms (a taxon). Authors include Josef Anton Maximilian Perty, Ernst Haeckel and in the 20th century by Thomas Cavalier-Smith in his classification system. Each author used the name to refer to categories of organisms described by different sets of shared characteristics. This reuse by later authors of the same taxon name for different groups of organisms is problematic in taxonomy because the inclusion of the name in a sentence such as "Archezoa have no olfactory organs" does not make sense unless the particular usage is specified: "Archezoa sensu Cavalier-Smith (1987) have no olfactory organs"; As a result, all uses of Archezoa are now obsolete.
== Archezoa sensu Cavalier-Smith (1987) == Cavalier-Smith proposed the term Archezoa for a paraphyletic territory of eukaryotes that primitively lacked mitochondria. Like Margulis and others before (see Pelomyxa), Cavalier-Smith argued that the initial ancestor of eukaryotes emerged prior to the acquisition of mitochondria via endosymbiosis. The same paraphyletic territory was referred to as Hypochondria by others. The argument for Archezoa sensu Cavalier-Smith was never universally accepted because of conflicting information, and was dropped when the contrary argument, that amitochondriates were descendants of eukaryotes with mitochondria, became dominant.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).