Frontiers in Genetics,
Journal Year:
2024,
Volume and Issue:
15
Published: Nov. 29, 2024
The
agriculture
genomics
community
has
numerous
data
submission
standards
available,
but
the
for
describing
and
storing
single-cell
(SC,
e.g.,
scRNA-
seq)
are
comparatively
underdeveloped.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Jan. 2, 2025
Single-cell
RNA
sequencing
(scRNA-seq)
is
widely
used
in
plant
biology
and
a
powerful
tool
for
studying
cell
identity
differentiation.
However,
the
scarcity
of
known
cell-type
marker
genes
divergence
expression
patterns
limit
accuracy
identification
our
capacity
to
investigate
conservation
many
species.
To
tackle
this
challenge,
we
devise
novel
computational
strategy
called
Orthologous
Marker
Gene
Groups
(OMGs),
which
can
identify
types
both
model
non-model
species
allows
rapid
comparison
across
published
single-cell
maps.
Our
method
does
not
require
cross-species
data
integration,
while
still
accurately
determining
inter-species
cellular
similarities.
We
validate
by
analyzing
from
with
well-annotated
maps,
show
methods
capture
majority
manually
annotated
types.
The
robustness
further
demonstrated
its
ability
pertinently
map
clusters
1
million
cells,
268
15
diverse
reveal
14
dominant
groups
substantial
shared
markers
monocots
dicots.
facilitate
use
broad
research
community,
launch
user-friendly
web-based
OMG
browser,
simplifies
process
datasets
biologists.
A
Ortho-Marker
(OMGs)
was
developed
enable
single
data.
revealed
conserved
accessible
via
browser.
Journal of Experimental Botany,
Journal Year:
2024,
Volume and Issue:
75(17), P. 5188 - 5203
Published: March 11, 2024
Biotic
and
abiotic
environmental
cues
are
major
factors
influencing
plant
growth
productivity.
Interactions
with
biotic
(e.g.
symbionts
pathogens)
changes
in
temperature,
water,
or
nutrient
availability)
trigger
signaling
downstream
transcriptome
adjustments
plants.
While
bulk
RNA-sequencing
technologies
have
traditionally
been
used
to
profile
these
transcriptional
changes,
tissue
homogenization
may
mask
heterogeneity
of
responses
resulting
from
the
cellular
complexity
organs.
Thus,
whether
different
cell
types
respond
equally
fluctuations,
subsets
cell-type
specific,
long-lasting
questions
biology.
The
recent
breakthrough
single-cell
transcriptomics
research
offers
an
unprecedented
view
under
changing
conditions.
In
this
review,
we
discuss
contribution
understanding
cell-type-specific
interactions.
Besides
biological
findings,
present
some
technical
challenges
coupled
studies
plant-environment
interactions,
proposing
possible
solutions
exciting
paths
for
future
research.
Cell Reports,
Journal Year:
2025,
Volume and Issue:
44(2), P. 115240 - 115240
Published: Feb. 1, 2025
Despite
the
broad
use
of
single-cell/nucleus
RNA
sequencing
in
plant
research,
accurate
cluster
annotation
less-studied
species
remains
a
major
challenge
due
to
lack
validated
marker
genes.
Here,
we
generated
single-cell
atlas
soil-grown
wheat
roots
and
annotated
identities
by
transferring
annotations
from
publicly
available
datasets
wheat,
rice,
maize,
Arabidopsis.
The
predictions
our
orthology-based
approach
were
next
using
untargeted
spatial
transcriptomics.
These
results
allowed
us
predict
evolutionarily
conserved
tissue-specific
markers
generate
cell
type-specific
gene
regulatory
networks
for
root
tissues
other
used
analysis.
In
summary,
transcriptomics
resource
apical
meristems,
including
numerous
known
uncharacterized
genes
developmental
regulators.
data
analyses
will
facilitate
future
type
non-model
species.
Seed Science Research,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 10
Published: March 3, 2025
Abstract
Seeds
are
complex
structures
that
serve
as
dispersal
units
in
angiosperms.
consist
of
three
specialized
tissues
with
distinct
roles
and
molecular
compositions.
Hence,
the
characterization
genetic
regulators
act
within
individual
seed
tissues,
how
their
activity
changes
during
development
germination,
has
been
a
primary
focus
research.
However,
our
knowledge
spatiotemporal
modulation
seeds,
across
different
cell
types,
limited
by
resolution
available
techniques.
In
last
few
years,
application
single-cell
technologies
plants
have
enabled
elucidation
gene
networks
involved
various
developmental
processes
at
cellular
level.
Some
studies
applied
these
to
enabling
further
germination
Here,
we
review
current
status
seeds
present
workflow
for
conducting
transcriptomics.
Additionally,
discuss
integration
multi-omics,
aiming
demonstrate
potential
enhancing
comprehension
regulations
governing
germination.
New Phytologist,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 3, 2025
Summary
Drought
stress
imposes
severe
challenges
on
agriculture
by
impacting
crop
performance.
Understanding
drought
responses
in
plants
at
a
cellular
level
is
crucial
first
step
toward
engineering
improved
resilience.
However,
the
molecular
to
are
complex
as
they
depend
multiple
factors,
including
severity
of
drought,
profiled
organ,
its
developmental
stage
or
even
cell
types
therein.
Thus,
deciphering
transcriptional
especially
challenging.
In
this
study,
we
investigated
tissue‐specific
mild
(MD)
young
Arabidopsis
thaliana
(Arabidopsis)
leaves
using
single‐cell
RNA
sequencing
(scRNA‐seq).
To
preserve
integrity
during
isolation,
inhibited
synthesis
transcription
inhibitor
actinomycin
D,
and
demonstrated
benefits
transcriptome
fixation
for
studying
level.
We
present
curated
validated
atlas,
comprising
50
797
high‐quality
cells
from
almost
all
known
leaf.
All
type
annotations
were
with
new
library
reporter
lines.
The
data
available
broad
community
an
intuitive
tool
browsable
atlas
(
http://www.single‐cell.be/plant/leaf‐drought
).
show
that
mesophyll
contains
two
spatially
separated
populations
distinct
drought:
one
enriched
canonical
abscisic
acid‐related
drought‐responsive
genes,
another
genes
involved
iron
starvation
responses.
Our
study
thus
reveals
dual
adaptive
mechanism
leaf
response
MD
provides
valuable
resource
future
research
Nature Plants,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 26, 2025
Abstract
During
secondary
growth,
the
vascular
cambium
produces
conductive
xylem
and
phloem
cells,
while
phellogen
(cork
cambium)
deposits
phellem
(cork)
as
outermost
protective
barrier.
Although
most
of
tissues
are
made
up
parenchyma
which
also
produced
by
both
cambia,
their
diversity
function
poorly
understood.
Here
we
combined
single-cell
RNA
sequencing
analysis
with
lineage
tracing
to
recreate
developmental
trajectories
cell
types
in
Arabidopsis
root
undergoing
growth.
By
analysing
93
reporter
lines,
were
able
identify
20
different
or
states,
many
have
not
been
described
before.
We
additionally
observed
distinct
transcriptome
signatures
cells
depending
on
maturation
state
proximity
types.
Our
data
show
that
required
for
normal
formation
tissue
Furthermore,
mature
gradually
obtains
periderm
identity,
this
transformation
can
be
accelerated
jasmonate
treatment
wounding.
study
thus
reveals
capacity
undergo
considerable
identity
changes
during