Genome-Wide Identification of Rubber Tree SCAMP Genes and Functional Characterization of HbSCAMP3
Plants,
Год журнала:
2024,
Номер
13(19), С. 2729 - 2729
Опубликована: Сен. 29, 2024
Natural
rubber
produced
by
the
tree
is
a
vital
industrial
raw
material
globally.
Seven
SCAMP
gene
family
members
were
identified
in
tree,
and
phylogenetic
classified
HbSCAMPs
into
three
subfamilies.
Significant
differences
observed
among
terms
of
length,
number
exons,
composition
conserved
motifs.
The
expansion
genome
associated
with
segmental
duplications.
high
expression
HbSCAMP1–6
petioles
HbSCAMP7
stem
tips,
along
their
distinct
responses
to
drought,
salt,
wound
stresses,
indicates
crucial
roles
substance
transport
stress
adaptation.
Transgenic
poplar
experiments
demonstrated
that
overexpression
HbSCAMP3
significantly
promotes
plant
height
growth,
localization
tobacco
plasma
membrane,
suggesting
its
involvement
regulating
growth
through
membrane
processes.
These
findings
enhance
understanding
trees
provide
new
insights
how
plants
finely
tune
adapt
environmental
changes.
Язык: Английский
Genome-wide identification of protein kinase family in Populus tomentosa: Functional evidence for causative protein kinase in secondary cell wall biosynthesis
International Journal of Biological Macromolecules,
Год журнала:
2024,
Номер
285, С. 138219 - 138219
Опубликована: Ноя. 30, 2024
Язык: Английский
The Cucumis sativus kinome: Identification, annotation, and expression patterns in response to powdery mildew infection
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Март 20, 2023
It
is
widely
known
that
protein
kinases
(PKs)
play
a
fundamental
role
in
regulating
various
metabolic
processes
plants,
from
development
to
response
the
environment.
However,
detailed
characterization
of
this
superfamily
still
lacking
for
several
species,
such
as
cucumber
(Cucumis
sativus),
especially
regarding
their
involvement
Powdery
Mildew
(PM)
caused
by
Podosphaera
xanthii.
This
study
aimed
characterize
PK
family,
shedding
light
on
its
genomic
distribution,
classification,
and
expression
patterns
triggered
P.
The
hidden
Markov
models
(HMMs)
analysis
uncovered
835
PKs
kinome,
distributed
across
seven
chromosomes,
categorized
into
20
distinct
groups
123
families,
with
RLK
group
being
most
abundant.
Evidence
tandem
duplication
genes
was
also
observed,
enriching
our
understanding
PKs.
To
investigate
profiles
cucumber,
we
analyzed
transcription
levels
all
RNA-seq
data
leaves
resistant
susceptible
cultivars
xanthii,
which
were
artificially
inoculated.
Depending
treatment,
DEGs
ranged
319
1,690,
ranging
8
105.
number
varied
between
different
contrasts
analyzed.
Notably,
observed
greater
genotypes
when
challenged
pathogen.
Our
findings
indicate
specific
context
plant-pathogen
interactions
pave
way
further
research
intricate
mechanisms
underlying
responses
Mildew.
Язык: Английский
Identifying Critical Regulators in the Viral Stress Response of Wheat (Triticum aestivum L.) Using Large-Scale Transcriptomics Data
Agronomy,
Год журнала:
2023,
Номер
13(10), С. 2610 - 2610
Опубликована: Окт. 13, 2023
Wheat
(Triticum
aestivum
L.)
cultivation
has
been
globally
restricted
by
many
plant
viruses
such
as
the
streak
mosaic
virus
(WSMV),
Barley
stripe
(BSMV),
and
Brome
(BMV).
Herein,
transcriptome
of
wheat
was
in
silico
analyzed
under
mono-
(WSMV,
BSMV,
or
BMV),
bi-
(BMV&BSMV,
BMV&WSMV,
BSMV&WSMV),
tripartite
BMV)
infections
using
RNA-seq
technique.
Total
numbers
1616/270,
5243/690
5589/2183
differentially
expressed
genes
(DEGs)
were
up/down-regulated
during
bipartite
infection
BMV&BSMV,
BMV&WSMV
BSMV&WSMV,
respectively,
while
resulted
up/down-regulation
6110/2424
DEGs.
The
NAC
bHLH
most
commonly
presented
transcription
factor
(TF)
families
WSMV,
BMV,
BSMV
infection,
C2H2,
bHLH,
TF
involved
BSMV&WSMV
infections,
respectively.
RLK-Pelle_DLSV
protein
kinase
(PK)
family
all
patterns.
Promoter
analysis
showed
that
motifs
gene
expression,
CUL4
RING
ubiquitin
ligase
complex,
stress
response,
brassinosteroid
energy-related
pathways
significantly
induced
plants
infections.
expression
network
a
defense-related
gene,
i.e.,
allene
oxide
synthase
(AOS)
serves
crucial
hub
Язык: Английский
Unraveling growth molecular mechanisms inPinus taedawith GWAS, machine learning, and gene coexpression networks
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Дек. 10, 2022
Abstract
Pinus
taeda
(loblolly
pine
[LP])
is
a
long-lived
tree
species
and
one
of
the
most
economically
significant
forest
species.
Among
growth
traits,
volume
widely
considered
trait
in
improvement
programs.
However,
deciphering
genetic
variants
responsible
for
variations
conifers,
such
as
LP,
particularly
challenging
due
to
vast
size
intricate
complexity
genomes.
We
present
comprehensive
analysis
focusing
on
markers
associated
with
stem
variation,
elucidate
molecular
mechanisms
governing
high-performance
phenotypes.
used
population
1,692
individuals
phenotyped
genotyped
these
using
sequence
capture
probes.
To
conduct
genome-wide
associations,
we
utilized
both
association
study
(GWAS)
machine
learning
(ML)
approaches.
The
identified
were
found
be
linked
genes
assembled
from
three
distinct
transcriptomes.
These
subsequently
construct
gene
coexpression
networks,
through
topological
evaluations,
key
potential
regulatory
roles
within
configurations.
Using
set
31,589
SNPs,
defined
7
GWAS-associated
SNPs
128
ML-associated
markers,
all
which
correlated
multiple
involved
diverse
biological
functions.
Gene
revealed
group
270
potentially
regulation
material.
Key
directly
implicated
response
stress
identified,
inferences
about
their
impact
development
elucidated.
Our
not
only
offers
insights
into
but
also
elucidates
subset
characterized
by
unique
features.
findings
significantly
advance
our
understanding
factors
influencing
reveal
candidate
future
functional
studies,
contribute
broader
comprehension
architecture
underlying
traits
LP.
Язык: Английский