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Title: Hybrid enrichment of poorly preserved museum specimens refines homology hypotheses in a group of minute litter bugs (Hemiptera: Dipsocoromorpha: Schizopteridae)
Abstract

Although they are a valuable source of specimens, insect natural history collections continue to be under‐utilized in molecular systematics, mostly due to difficulties in obtaining DNA sequences. Old specimens or specimens stored under suboptimal conditions are intractable for traditional Sanger sequencing. In this study we use an inexpensive hybrid capture with in‐house generated baits to retrieve commonly utilized ribosomal and mitochondrial loci from old museum specimens and combine them with a Sanger‐generated dataset comprising recently collected material. We focus on theCorixideagenus group (Schizopteridae), which comprises rarely collected, small (1–2 mm) and primarily tropical insects of which onlyc. 10–20% of the species have been described. A molecular phylogeny is needed to resolve relationships and revise the genus‐level classification to correctly place thec. 150 yet to be described species. Applying this approach, we constructed a dataset, containing 101 taxa, 11 of which were preserved in low‐percentage ethanol, 48 are dry and point‐mounted, and 40 are > 20 years old at DNA extraction. The obtained data proved sufficient for reconstructing a well‐supported phylogeny withc. 50% of the predicted diversity, and for the oldest successfully sequenced specimen (95 years) to be unambiguously placed in that phylogeny. We confirmed monophyly of theCorixideagenus group, showed paraphyly of the genusCorixidea, and recovered nine well‐supported clades within the group. Ancestral character states of selected morphological features were inferred and used to re‐examine primary homology hypotheses and inform an upcoming taxonomic revision.

 
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NSF-PAR ID:
10460783
Author(s) / Creator(s):
 ;  ;  
Publisher / Repository:
Wiley-Blackwell
Date Published:
Journal Name:
Systematic Entomology
Volume:
44
Issue:
4
ISSN:
0307-6970
Page Range / eLocation ID:
p. 985-995
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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