Earliest mordellid-like beetles from the Jurassic of Kazakhstan and China (Coleoptera: Tenebrionoidea)

Tong Bao , Xuesong Zhang , Katarzyna Walczyńska , Bo Wang , Jes Rust

Abstract

Within this study the subfamily Praemordellinae is reviewed and the holotype of Praemordella martynovi Scegoleva-Barovskaja, 1929 is re-described. The genera Cretanaspis Huang and Yang, 1999, Mirimordella Liu et al., 2007, Bellimordella Liu et al., 2008 and Wuhua Wang and Zhang, 2011 is attributed to Praemordellinae. One new species, Wuhua peregrina sp. nov., is erected based on two well-preserved specimens from the Middle Jurassic Daohugou Biota (Inner Mongolia, China). The morphological characters of Praemordellinae are given and a key to genera of Praemordellinae is presented. Praemordellinae is closely related to extant Mordellidae in having humpbacked body, strongly deflexed head, filiform antennae and pectinate tarsal claws, but it is differing in that the pygidium absent and hind femora not well developed. It is also similar to Ripiphoridae in having a convex body and simple tarsi, but differs Ripiphoridae in having filiform antennae. Praemordellinae is probably a stem group including the ancestor of Mordellidae and Ripiphoridae. Also, within this paper, the fossil record of Mordellidae is summarized.
Author Tong Bao
Tong Bao,,
-
, Xuesong Zhang
Xuesong Zhang,,
-
, Katarzyna Walczyńska (FOG / IO / DMPR)
Katarzyna Walczyńska,,
- Division of Marine Plankton Research
, Bo Wang
Bo Wang,,
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, Jes Rust
Jes Rust,,
-
Journal seriesProceedings of the Geologists Association, ISSN 0016-7878, (N/A 70 pkt)
Issue year2019
Vol130
No2
Pages247-256
Publication size in sheets0.5
Keywords in EnglishColeoptera, Tenebrionoidea, Praemordellinae, Jurassic, Palaeoecology
ASJC Classification1911 Palaeontology; 1907 Geology
DOIDOI:10.1016/j.pgeola.2019.02.002
Languageen angielski
Score (nominal)70
Score sourcejournalList
ScoreMinisterial score = 70.0, 17-11-2019, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.714; WoS Impact Factor: 2018 = 1.366 (2) - 2018=1.66 (5)
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