Genome-wide identification and expression analysis of C3H gene family in melon
Frontiers in Plant Science,
Journal Year:
2025,
Volume and Issue:
16
Published: March 13, 2025
Zinc
finger
protein
(ZFP)
represent
a
significant
class
of
transcription
factors
in
plants,
involved
various
functions,
including
tissue
development,
signal
transduction,
and
responses
to
both
biotic
abiotic
stresses.
ZFPs
are
categorized
into
10
distinct
subfamilies,
among
which
the
C3H
gene
family
is
recognized
as
functionally
group
factors.To
date,
no
studies
have
been
reported
regarding
melon
(
Cucumis
melo
).
In
this
study,
38
CmC3H
genes
were
identified
genome,
these
unevenly
distributed
across
12
chromosomes.
Phylogenetic
analysis
classified
members
four
groups,
with
differences
observed
sequence,
motifs,
structure
within
same
group.
The
contains
one
pair
segmentally
duplicated
shares
20,
7,
39,
pairs
homologous
Arabidopsis
thaliana
,
rice
Oryza
sativa
),
cucumber
sativus
watermelon
Citrullus
lanatus
respectively.
Promoter
region
revealed
high
abundance
cis
-elements
associated
growth
hormone
regulation,
stress
responses.
Expression
profiling
that
exhibit
tissue-specific
expression
patterns.
Quantitative
PCR
indicated
six
CmC3H4
CmC3H7
CmC3H13
CmC3H24
CmC3H33
CmC3H38
)
may
play
roles
melon’s
drought
resistance.
Heavy
metal
lead
appears
suppress
genes.
be
regulating
resistance
Fusarium
wilt
infection.
CmC3H11
CmC3H21
can
considered
key
candidate
for
improving
ability
resist
stresses.This
study
provides
preliminary
insights
profiles
under
stress,
heavy
infection,
offering
theoretical
foundation
molecular
mechanisms
underlying
improvement
Language: Английский
Harnessing the Power of Transcription Factors for Crop Improvement: Insights from Stress Tolerance, Development, and Metabolic Regulation
Current Plant Biology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100488 - 100488
Published: May 1, 2025
Language: Английский
GRASSIUS 2.0: A gene regulatory information knowledgebase for maize and other grasses
Current Plant Biology,
Journal Year:
2024,
Volume and Issue:
unknown, P. 100396 - 100396
Published: Oct. 1, 2024
Language: Английский
Transcriptome profiling of maize transcription factor mutants to probe gene regulatory network predictions
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 31, 2024
Abstract
Transcription
factors
(TFs)
play
important
roles
in
regulation
of
gene
expression
and
phenotype.
A
variety
approaches
have
been
utilized
to
develop
gene-regulatory
networks
(GRNs)
predict
the
regulatory
targets
for
each
TF,
such
as
yeast-one-hybrid
(Y1H)
screens
co-expression
network
(GCN)
analysis.
Here
we
identified
potential
TF
used
a
reverse
genetics
approach
test
predictions
several
GRNs
maize.
Loss-of-function
mutant
alleles
were
isolated
22
maize
TFs.
These
mutants
did
not
exhibit
obvious
morphological
phenotypes.
However,
transcriptomic
profiling
differentially
expressed
genes
genotypes,
targeted
metabolic
indicated
variable
phenolic
accumulation
some
mutants.
An
analysis
levels
predicted
target
based
on
Y1H
small
subset
that
altered
levels.
The
from
GCN-based
methods
found
significant
enrichments
prediction
sets
TFs,
but
most
expression.
This
could
result
false-positive
GCN
predictions,
with
secondary
role
resulting
minor
effects
regulation,
or
redundant
by
other
Collectively,
these
findings
suggest
loss-of-function
single
uncharacterized
TFs
might
limited
phenotypic
impacts
can
reveal
subsets
GRN
Language: Английский