| Summary: | In this paper, the diversity and composition of the abyssal fishes (1,000-2,250 m) from the South Patagonia archipelago, including Cape Horn, Diego Ramírez Islands and north Drake Passage, southwestern Pacific (52°43´S-57°05´S) are described. Eight Osteichthyes species were detected, belonging to 4 orders and 5 families. The higher diversity of species was represented by the order Gadiformes, with 4 species of Macrouridae and 2 species of Moridae, followed by the abundance of Perciformes, with one species of Nototheniidae. The family Nototheniidae had the predominant biomass in the area, followed by Macrouridae. Synaphobranchidae (Anguilliformes) and Liparidae (Scorpaeniformes) were less abundant, both with one species. The distribution and biogeographical patterns of the analyzed fishes show a strong contrast with those observed in coastal Patagonian fishes, which allowed us to recognize two independent biogeographical units, according to the depth. The deep sea fishes detected in Patagonia are mainly circum-Antarctic species, present in the southwest and southeast Pacific, southwest and southeast Atlantic, Indian Ocean and Southern Ocean due to the Antarctic plate. This determines the distribution patterns of deep sea fishes in the Southern Hemisphere and provides access to the adjacent plates. Thus while the coastal fishes have a latitudinal distribution pattern these fishes have a Gondwanan, longitudinal distribution pattern. Se describe la diversidad y composición de la ictiofauna abisal (1.000-2.250 m) del archipiélago patagónico sur, incluidos el Cabo de Hornos, islas Diego Ramírez y el sector norte del paso Drake, Océano Pacífico sur oriental (52°43´S-57°05´S). Se detectaron 8 especies de teleósteos pertenecientes a 4 órdenes y 5 familias. La mayor diversidad de especies estuvo representada por el orden Gadiformes, con 4 especies de Macrouridae y 2 especies de Moridae, seguidos en abundancia por el orden Perciformes, con una especie de Nototheniidae. La abundancia estuvo predominada por la familia ...
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