-Comparative spigot ontogeny across the spider tree of life.

Rachael E Alfaro, Charles E Griswold, Kelly B Miller
Author Information
  1. Rachael E Alfaro: Museum of Southwestern Biology, Division of Arthropods, University of New Mexico, Albuquerque, NM, United States of America.
  2. Charles E Griswold: Entomology, California Academy of Sciences, San Francisco, CA, United States of America.
  3. Kelly B Miller: Museum of Southwestern Biology, Division of Arthropods, University of New Mexico, Albuquerque, NM, United States of America.

Abstract

Spiders are well known for their silk and its varying use across taxa. Very few studies have examined the silk spigot ontogeny of the entire spinning field of a spider. Historically the spider phylogeny was based on morphological data and behavioral data associated with silk. Recent phylogenomics studies have shifted major paradigms in our understanding of silk use evolution, reordering phylogenetic relationships that were once thought to be monophyletic. Considering this, we explored spigot ontogeny in 22 species, including and reported here for the first time. This is the first study of its kind and the first to incorporate the Araneae Tree of Life. After rigorous testing for phylogenetic signal and model fit, we performed 60 phylogenetic generalized least squares analyses on adult female and second instar spigot morphology. Six analyses had significant correlation coefficients, suggesting that instar, strategy, and spigot variety are good predictors of spigot number in spiders, after correcting for bias of shared evolutionary history. We performed ancestral character estimation of singular, fiber producing spigots on the posterior lateral spinneret whose potential homology has long been debated. We found that the ancestral root of our phylogram of 22 species, with the addition of five additional cribellate and ecribellate lineages, was more likely to have either none or a modified spigot rather than a pseudoflagelliform gland spigot or a flagelliform spigot. This spigot ontogeny approach is novel and we can build on our efforts from this study by growing the dataset to include deeper taxon sampling and working towards the capability to incorporate full ontogeny in the analysis.

Keywords

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