10.5061/DRYAD.2280GB5W4
Song, Junjun
0000-0001-8449-5941
Nanjing Institute of Geology and Paleontology
Huang, Bing
Nanjing Institute of Geology and Paleontology
Qie, Wenkun
Nanjing Institute of Geology and Paleontology
Data from: Allometry in Late Devonian Podocopa ostracods (Crustacea) and
its implications for Ostracoda ontogeny
Dryad
dataset
2022
FOS: Earth and related environmental sciences
Ostracoda
size allometry
ontogeny
Strategic Priority Research Program (B) of Chinese Academy of Sciences*
XDB26000000
National Natural Science Foundation of China
https://ror.org/01h0zpd94
41802002
2022-12-12T00:00:00Z
2022-12-12T00:00:00Z
en
https://doi.org/10.1002/spp2.1480
271847 bytes
3
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Podocopa ostracods abounds in various marine and non-marine habitats since
the early Palaeozoic and leave diversified fossil records in strata
worldwide. They are particularly useful for stratigraphic correlation and
paleoenvironmental and paleogeographical reconstructions. However, being
the most numerous ostracods during the Palaeozoic, their origins,
evolution, ontogeny and phylogeny remain poorly defined. This paper
represents the first study of morphological variation in Devonian
Platycopida (an order of Podocopa) ostracods using a geometric
morphometric approach. Our results identify substantial shape variation
for Cribroconcha honggulelengensis from the Upper Devonian Hongguleleng
Formation of western Junggar, NW China, demonstrating a remarkable change
to those juveniles between stages A-3 and A-2. Using linear regressions
between Principal component scores from right lateral view and carapace
length, we demonstrate allometric growth patterns for the species C.
honggulelengensis.The body plan of C. honggulelengensis developed along
with the ontological variable, i.e., from an ovate outline with rare pores
to an oblong outline with dense and large pores. Environmental factors
play a major role in shape determination during ontogeny of C.
honggulelengensis.
SEM images of each specimen were used to digitalize landmarks, with
digitization performed using TpsDig2 v. 2.25 (Rohlf 2016a). A combination
of landmarks and semilandmarks or sliding landmarks were used for
analysing homologous points' locations together with curves measured
on a sample of organisms. Principal component analysis (PCA) was
subsequently applied to explore the overall diversity of within-sample
shape variation using software PAST v. 2.13 (Hammer et al. 2001).
s1: Size information (length and height) and 74 Principal components (PC)
of all the 178 specimens of Cribroconcha honggulelengensis Song &
Crasquin, 2017.