A total-evidence phylogenetic approach to understanding the evolution, depth transitions, and body-shape changes in the anglerfishes and allies (Acanthuriformes: Lophioidei)
PLoS ONE,
Год журнала:
2025,
Номер
20(5), С. e0322369 - e0322369
Опубликована: Май 2, 2025
The
anglerfishes
and
allies
(Lophioidei)
are
a
diverse
group
of
fishes
with
over
400
carnivorous
species
that
renowned
for
their
remarkable
hunting
behavior
employing
modified
first
dorsal-fin
spine
to
lure
prey
adaptations
such
as
“pseudo-walking,”
bioluminescence,
parasitic
sexual
dimorphism.
Gaining
comprehensive
understanding
evolutionary
history
has
been
challenging,
previous
studies
using
DNA
sequence
data
or
morphological
traits
have
provided
either
inconsistent
contradictory
results.
We
present
new
phylogenetic
framework
the
evolution
Lophioidei,
combining
ultraconserved
elements
(UCEs),
mitochondrial
data,
characters.
Our
findings
reveal
monophyletic
positioned
sister
Tetraodontoidei
within
broader
acanthuriform
radiation.
Goosefishes
(Lophioideo)
emerge
stem
anglerfish
lineage,
forming
clade
frogfishes
(Antennarioideo)
+
batfishes
(Ogcocephaloideo)
coffinfishes
(Chaunacoideo)
deep-sea
(Ceratioideo).
expanded
Antennariidae
include
all
frogfish
(antennarioid)
families
subfamilies
while
proposing
subfamily,
Fowlerichthyinae,
produce
stable
taxonomy
Antennarioideo.
Further,
we
evaluated
previously
newly
proposed
characters
diagnose
Lophioidei
Lophioideo.
investigations
demonstrated
several
traditional
synapomorphies
no
longer
diagnostic
Lophioidei.
Based
on
our
phylogeny,
geometric
morphometric
analysis
revealed
significant
differences
in
body
shape
among
lophioid
infraorders,
especially
anglerfishes,
indicating
importance
habitat
transitions
body-shape
evolution.
This
study,
integrating
genome-scale
nuclear,
mitochondrial,
provides
total-evidence
perspective
lophioids
sheds
light
specializations
changes
they
transitioned
across
environments.
Язык: Английский
RCVT: a novel diagnostic to quantify compositional biases among taxa for phylogenomics
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 3, 2024
Abstract
Phylogenomics
aims
to
reconstruct
the
history
of
genes
and
genomes.
However,
noise
or
error
during
inference
can
stem
from
diverse
sources,
such
as
compositional
biases.
Here,
we
introduce
RCVT
(
R
elative
C
omposition
V
ariability
among
T
axa),
a
novel
metric
quantify
biases
taxa.
We
demonstrate
utility
using
example
data
in
16
empirical
phylogenomic
datasets,
revealing
variation
across
datasets
taxa
therein.
may
help
researchers
diagnose
potentially
ameliorate
associated
with
Язык: Английский