10.5061/DRYAD.7PVMCVDQJ
Alencar, Juliana
0000-0003-4741-1723
Federal Rural University of Pernambuco
Borba do Nascimento, André Luiz
Federal University of Maranhão
Duarte-Neto, Paulo
Federal Rural University of Pernambuco
Buril, Maria Teresa
Federal Rural University of Pernambuco
Disentangling leaf morphology in Daustinia montana (Convolvulaceae)
Dryad
dataset
2020
FOS: Biological sciences
National Council for Scientific and Technological Development
https://ror.org/03swz6y49
PVE 314725/2014-8
2022-03-12T00:00:00Z
2022-03-12T00:00:00Z
en
https://doi.org/10.1600/036364420x16033962925132
115085 bytes
5
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Daustinia montana (Convolvulaceae) is the only species of the genus, and
is notable for its wide leaf variability. To understand whether this
plasticity is correlated with the distribution of the species, linear
morphometric and leaf contour analyses were performed. Specimens from
herbaria were photographed, and pre-established linear measurements were
made. A multivariate analysis was then performed to test the strength of
associations among morphological characteristics, climatic variables, and
distribution of the species. Elliptic Fourier analysis based on 20
harmonics was used to generate shape descriptors, resulting in nine main
components. With elliptic Fourier descriptors, a grouping tree was created
that suggests the existence of six morphotypes in D. montana. Moreover,
clustering analysis revealed two large groups distinguished mainly by leaf
width. The present findings indicate that the morphotypes are strongly
related to latitude and that other characteristics such as the type of
indumentum are related to climatic variables.
Field expeditions were performed out to collect and herbarium specimens
were analyzed. Specimens were collected using standard techniques in
taxonomy (Mori et al.1989). The coordinates were matching the labels of
the herbarium specimens, of the field collections or Google Earth.
Climate data from the geographic locations was obtained from the
WorldClim Global Climate databank (Fick and Hijmans 2017). The extraction
of the climate data was performed with the aid of QGIS Development Team
(2015). The images were captured using a digital camera, according to
created protocol. Linear measurements were performed on the photographed
material using ImageJ (Schneider et al. 2012). The images of the leaves
were processed using Adobe Photoshop CS6 for the isolation of the leaves,
subtraction of the petioles, digitization of the contours, and
uniformization of the background. The images were processed using the
SHAPE v. 1.3 computational package (Iwata and Ukai 2002) for the
evaluation of the contour shape based on elliptical Fourier analysis.
All data used in the analyzes are available.