Phylogenomic prediction of interaction networks in the presence of gene duplication
Tony C Gatts,
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Chris deRoux,
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Linnea E Lane
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et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 8, 2024
Abstract
Assigning
gene
function
from
genome
sequences
is
a
rate-limiting
step
in
molecular
biology
research.
A
protein’s
position
within
an
interaction
network
can
potentially
provide
insights
into
its
mechanisms.
Phylogenetic
analyses
of
evolutionary
rate
covariation
(ERC)
have
been
shown
to
be
effective
for
large-scale
prediction
functional
interactions
protein
sequence
data.
However,
duplication,
loss,
and
other
sources
phylogenetic
incongruence
are
barriers
analyzing
ERC
on
genome-wide
basis.
Here,
we
developed
ERCnet
,
bioinformatic
program
designed
overcome
these
challenges,
facilitating
efficient
all-vs-all
large
datasets.
We
compiled
sample
set
35
angiosperm
genomes
test
the
performance
ERCnet,
including
sensitivity
user-defined
analysis
parameters
such
as
input
dataset
size,
branch-length
measurement
strategy,
significance
threshold
defining
hits.
find
that
our
novel
‘branch-by-branch’
length
measurements
outperforms
‘root-to-tip’
approaches
most
cases,
offering
valuable
new
strategy
performing
even
presence
extensive
duplication.
Further,
demonstrate
number
species
composition
both
profound
effects
genes
predicted
interact.
Our
systematic
exploration
provides
roadmap
design
future
predict
wide
array
genomic
code
freely
available
at
https://github.com/EvanForsythe/ERCnet
.
Language: Английский
Evolution of the skull in arvicoline cricetids (Rodentia) according to 3D morphometric insights: Part 1. Morphological disparity of the palato-spheno-pterygoid complex
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 9, 2024
ABSTRACT
Our
paper
is
the
first
contribution
to
comprehensive
analysis
of
complicated
evolution
cranial
and
mandibular
parts
connected
by
pterygoid
muscles,
as
part
more
global
investigation
into
adaptive
Arvicolinae.
The
was
performed
on
90
micro-computed-tomography–scanned
specimens
from
33
species
19
genera
Arvicolinae
well
two
Cricetinae
an
outgroup.
We
revised
11
morphological
traits
“palato-spheno-pterygoid”
complex,
including
key
features
palatine
that
are
highly
important
for
defining
taxa
according
micro-computed-tomography
data.
also
homologized
characters
posterior
palatal
margin
categorized
composition
elements
main
morphotypes:
morphotype
“A”
unique
Clethrionomyini
“B”
subdivided
three
additional
types
found
occur
in
outgroup
(cricetines),
voles
(B2),
lemmings
(B3).
Morphospace
palato-spheno-pterygoid
complex
means
three-dimensional
dataset
revealed
a
mode
transformation
“B2.”
A
separate
task
development
protocol
preparation
data
subsequent
evaluation
genotype–phenotype
relationships
using
specialized
software
applications
(e.g.,
RERconverge).
Language: Английский