Evolutionary relationships of anglerfishes (Lophiiformes) reconstructed using ultraconserved elements.

The macroevolutionary consequences of evolving in the deep-sea remain poorly understood and are compounded by the fact that convergent adaptations for living in this environment makes elucidating phylogenetic relationships difficult. Lophiiform anglerfishes exhibit extreme habitat and predatory specializations, including the use of a fin-spine system as a luring device and unique reproductive strategies where parasitic males attach and fuse to females. Despite their notoriety for these odd characteristics, evolutionary relationships among these fishes remain unclear. We sought to clarify the evolutionary history of Lophiiformes using data from 1000 ultraconserved elements and phylogenomic inference methods with particular interest paid to the Ceratioidei (deep-sea anglerfishes) and Antennarioidei (frogfishes and handfishes). At the suborder level, we recovered similar topologies in separate phylogenomic analyses: The Lophioidei (monkfishes) are the sister group to the rest of the Lophiiformes, Ogcocephaloidei (batfishes) and Antennarioidei (frogfishes) form a sister group, and Chaunacioidei (coffinfishes) and Ceratioidei (deep-sea anglerfishes) form a clade. The relationships we recover within the ceratioids disagree with most previous phylogenetic investigations, which used legacy phylogenetic markers or morphology. We recovered non-monophyletic relationships in the Antennarioidei and proposed three new families based on molecular and morphological evidence: Histiophrynidae, Rhycheridae, and Tathicarpidae. Antennariidae was re-evaluated to include what was known as Antennariinae, but not Histiophryninae. Non-bifurcating signal in splits network analysis indicated reticulations among and within suborders, supporting the complicated history of the Lophiiformes previously found with morphological data. Although we resolve relationships within Antennarioidei, Ceratioidei relationships remain somewhat unclear without better taxonomic sampling.