Opiliones are one of the largest arachnid orders, with more than 6,500 species in 50 families. Many of these families have been erected or reorganized in the last few years since the publication of The Biology of Opiliones. Recent years have also seen an explosion in phylogenetic work on Opiliones, as well as in studies using Opiliones as test cases to address biogeographic and evolutionary questions more broadly. Accelerated activity in the study of Opiliones evolution has been facilitated by

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... he discovery of several key fossils, including the oldest known Opiliones fossil, which represents a new, extinct suborder. Study of the group's biology has also benefited from rapid accrual of genomic resources, particularly with respect to transcriptomes and functional genetic tools. The rapid emergence and utility of Phalangium opilio as a model for evolutionary developmental biology of arthropods serve as demonstrative evidence of a new area of study in Opiliones biology, made possible through transcriptomic data. 157 Annu. Rev. Entomol. 2015.60:157-175. Downloaded from www.annualreviews.org Access provided by Harvard University on 01/10/15. For personal use only. Click here for quick links to Annual Reviews content online, including: • Other articles in this volume • Top cited articles • Top downloaded articles • Our comprehensive search Further ANNUAL REVIEWS 158 Giribet · Sharma Annu. Rev. Entomol. 2015.60:157-175. Downloaded from www.annualreviews.org Access provided by Harvard University on 01/10/15. For personal use only. www.annualreviews.org • Harvestmen (Arachnida, Opiliones) 159 Annu. Rev. Entomol. 2015.60:157-175. Downloaded from www.annualreviews.org Access provided by Harvard University on 01/10/15. For personal use only. www.annualreviews.org • Harvestmen (Arachnida, Opiliones) 161 Annu. Rev. Entomol. 2015.60:157-175. Downloaded from www.annualreviews.org Access provided by Harvard University on 01 The Annual Review of Statistics and Its Application aims to inform statisticians and quantitative methodologists, as well as all scientists and users of statistics about major methodological advances and the computational tools that allow for their implementation. It will include developments in the field of statistics, including theoretical statistical underpinnings of new methodology, as well as developments in specific application domains such as biostatistics and bioinformatics, economics, machine learning, psychology, sociology, and aspects of the physical sciences.