(LeConte, 1824): clarification of the correct name for the "avocado tree girdler" with updates on its biology and distribution (Coleoptera, Curculionidae, Molytinae, Hylobiini).

Background: A single species of the genus Germar, 1824 is native to the south-eastern United States and was a pest of avocado in Florida in the mid-20 century. Two names- (Olivier, 1807) and (LeConte, 1824)-have both recently been used as the valid name for this species, with also being recently used as the valid name for a species from French Guiana. Confusion surrounding the correct application of these names and the distribution of these species traces back to an erroneous distribution given in Olivier's 1807 description of and, although some authors clarified this previously, there continues to be confusion concerning the correct name.

Review of the genera of Conoderinae (Coleoptera, Curculionidae) from North America, Central America, and the Caribbean.

The thirty-nine extant genera of Conoderinae known to occur in North America, Central America, and the Caribbean are reviewed based on external morphology. An identification key is provided along with diagnoses, distributions, species counts, and natural history information, when known, for each genus. Morphological character systems of importance for weevil classification are surveyed, potential relationships among the tribes and genera are discussed, and groups most in need of taxonomic and phylogenetic attention are identified.

Finding our way through phenotypes.

Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing phenotypes and their genomic and environmental contexts is perhaps the most pressing scientific bottleneck to integration across many key fields in biology, including genomics, systems biology, development, medicine, evolution, ecology, and systematics. Here we survey the current phenomics landscape, including data resources and handling, and the progress that has been made to accurately capture relevant data descriptions for phenotypes.