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Abstract Tailoring ultraconserved element (UCE) probe set design to focal taxa has been demonstrated to improve locus recovery and phylogenomic inference. However, beyond conducting expensive in vitro testing, it remains unclear how best to determine whether an existing UCE probe set is likely to suffice for phylogenomic inference or whether tailored probe design will be desirable. Here we investigate the utility of 8 different UCE probe sets for the in silico phylogenomic inference of scarabaeoid beetles. Probe sets tested differed in terms of (i) how phylogenetically distant from Scarabaeoidea taxa those used during probe design are, (ii) breadth of phylogenetic inference probe set was designed for, and (iii) method of probe design. As part of this study, 2 new UCE probe sets are produced for the beetle family Scarabaeidae and superfamily Hydrophiloidea. We confirm that probe set utility decreases with increasing phylogenetic distance from target taxa. In addition, narrowing the phylogenetic breadth of probe design decreases the phylogenetic capture range. We also confirm previous findings regarding ways to optimize UCE probe design. Finally, we make suggestions regarding assessment of need for de novo probe design. 

Abstract The spectacular radiation of insects has produced a stunning diversity of phenotypes. During the past 250 years, research on insect systematics has generated hundreds of terms for naming and comparing them. In its current form, this terminological diversity is presented in natural language and lacks formalization, which prohibits computer-assisted comparison using semantic web technologies. Here we propose a Model for Describing Cuticular Anatomical Structures (MoDCAS) which incorporates structural properties and positional relationships for standardized, consistent, and reproducible descriptions of arthropod phenotypes. We applied the MoDCAS framework in creating the ontology for the Anatomy of the Insect Skeleto-Muscular system (AISM). The AISM is the first general insect ontology that aims to cover all taxa by providing generalized, fully logical, and queryable, definitions for each term. It was built using the Ontology Development Kit (ODK), which maximizes interoperability with Uberon (Uberon multi-species anatomy ontology) and other basic ontologies, enhancing the integration of insect anatomy into the broader biological sciences. A template system for adding new terms, extending, and linking the AISM to additional anatomical, phenotypic, genetic, and chemical ontologies is also introduced. The AISM is proposed as the backbone for taxon-specific insect ontologies and has potential applications spanning systematic biology and biodiversity informatics, allowing users to (1) use controlled vocabularies and create semi-automated computer-parsable insect morphological descriptions; (2) integrate insect morphology into broader fields of research, including ontology-informed phylogenetic methods, logical homology hypothesis testing, evo-devo studies, and genotype to phenotype mapping; and (3) automate the extraction of morphological data from the literature, enabling the generation of large-scale phenomic data, by facilitating the production and testing of informatic tools able to extract, link, annotate, and process morphological data. This descriptive model and its ontological applications will allow for clear and semantically interoperable integration of arthropod phenotypes in biodiversity studies. 

Abstract Comparative phylogenetics has been largely lacking a method for reconstructing the evolution of phenotypic entities that consist of ensembles of multiple discrete traits—entire organismal anatomies or organismal body regions. In this study, we provide a new approach named PARAMO (PhylogeneticAncestralReconstruction ofAnatomy byMappingOntologies) that appropriately models anatomical dependencies and uses ontology-informed amalgamation of stochastic maps to reconstruct phenotypic evolution at different levels of anatomical hierarchy including entire phenotypes. This approach provides new opportunities for tracking phenotypic radiations and evolution of organismal anatomies.