PLANT PHYSIOLOGY,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 17, 2024
Understanding
root
development
is
critical
for
enhancing
plant
growth
and
health,
advanced
technologies
are
essential
unraveling
the
complexities
of
these
processes.
In
this
review,
we
highlight
select
technological
innovations
in
study
development,
with
a
focus
on
transformative
impact
single-cell
gene
expression
analysis.
We
provide
high-level
overview
recent
advancements,
illustrating
how
RNA
sequencing
(scRNA-seq)
has
become
pivotal
tool
biology.
scRNA-seq
revolutionized
biology
by
enabling
detailed,
cell-specific
analysis
expression.
This
allowed
researchers
to
create
comprehensive
atlases,
predict
cell
map
regulatory
networks
(GRNs)
unprecedented
precision.
Complementary
technologies,
such
as
multimodal
profiling
bioinformatics,
further
enrich
our
understanding
cellular
dynamics
interactions.
Innovations
imaging
modeling,
combined
genetic
tools
like
CRISPR,
continue
deepen
knowledge
formation
function.
Moreover,
integration
biosensors
microfluidic
devices
ability
plant-microbe
interactions
phytohormone
signaling
at
high
resolution.
These
collectively
more
system
architecture
its
regulation
environmental
factors.
As
evolve,
they
promise
drive
breakthroughs
science,
substantial
implications
agriculture
sustainability.
Trends in Plant Science,
Год журнала:
2024,
Номер
29(9), С. 1018 - 1028
Опубликована: Апрель 2, 2024
Plant
scientists
are
rapidly
integrating
single-cell
RNA
sequencing
(scRNA-seq)
into
their
workflows.
Maximizing
the
potential
of
scRNA-seq
requires
a
proper
understanding
spatiotemporal
context
cells.
However,
positional
information
is
inherently
lost
during
scRNA-seq,
limiting
its
to
characterize
complex
biological
systems.
In
this
review
we
highlight
how
current
analysis
pipelines
cannot
completely
recover
spatial
information,
which
confounds
interpretation.
Various
strategies
exist
identify
location
RNA,
from
classical
in
situ
hybridization
transcriptomics.
Herein
discuss
possibility
utilizing
supervise
analyses.
An
integrative
approach
will
maximize
each
technology,
and
lead
insights
go
beyond
capability
individual
technology.
Trends in Plant Science,
Год журнала:
2024,
Номер
29(12), С. 1356 - 1367
Опубликована: Июль 10, 2024
HighlightsBeneficial
plant–microbe
interactions
are
critical
to
plant
productivity
in
both
natural
and
agricultural
ecosystems
due
benefits
such
as
improved
nutrition
abiotic
stress
tolerance.The
legume–rhizobia
symbiosis
plant–arbuscular
mycorrhizal
fungi
involve
continuous
signaling
coordination
between
two
organisms.Within
symbioses,
the
development
of
novel
microbial
structures
is
driven
by
symbiosis-specific
gene
expression
a
few
specific
cell
populations.Genetic
engineering
take
better
advantage
these
relies
on
identification
symbiosis-responsive
genes
that
can
serve
targets
for
modification.Applying
single-cell
spatial
RNA-seq
study
endosymbiosis
facilitate
improve
our
general
understanding
complex
biology
symbiotic
interactions.AbstractPlant–microbe
symbioses
require
intense
interaction
genetic
successfully
establish
types
host
symbiont.
Traditional
methodologies
lack
cellular
resolution
fully
capture
complexities,
but
transcriptomics
(ST)
now
allowing
scientists
probe
at
an
unprecedented
level
detail.
Here,
we
discuss
advantages
transcriptomic
technologies
provide
studying
endosymbioses
highlight
key
recent
studies.
Finally,
consider
remaining
limitations
applying
approaches
research,
which
mainly
related
simultaneous
transcripts
within
same
cells.
Plant Communications,
Год журнала:
2024,
Номер
5(8), С. 100978 - 100978
Опубликована: Май 22, 2024
Single-cell
RNA-sequencing
datasets
of
Arabidopsis
roots
have
been
generated,
but
related
comprehensive
gene
co-expression
network
analyses
are
lacking.
We
conducted
a
single-cell
analysis
with
publicly
available
scRNA-seq
using
SingleCellGGM
algorithm.
The
identified
149
modules,
which
we
considered
to
be
expression
programs
(GEPs).
By
examining
their
spatiotemporal
expression,
GEPs
specifically
expressed
in
major
root
cell
types
along
developmental
trajectories.
These
define
regulating
development
at
different
stages
and
enriched
relevant
regulators.
As
examples,
GEP
specific
for
the
quiescent
center
(QC)
contains
20
genes
QC
stem
niche
homeostasis,
four
sieve
elements
(SEs)
from
early
late
stages,
early-stage
containing
17
known
SE
also
metabolic
pathways
cell-type-specific
suggesting
existence
metabolism
roots.
Using
GEPs,
discovered
verified
columella-specific
gene,
NRL27,
as
regulator
auxin-related
gravitropism
response.
Our
thus
systematically
reveals
that
regulate
provides
ample
resources
biology
studies.
Current Opinion in Plant Biology,
Год журнала:
2024,
Номер
81, С. 102597 - 102597
Опубликована: Июль 27, 2024
Legume
plants
establish
an
endosymbiosis
with
nitrogen-fixing
rhizobia
bacteria,
which
are
taken
up
from
the
environment
anew
by
each
host
generation.
This
requires
a
dedicated
genetic
program
on
side
to
control
microbe
invasion,
involving
coordinated
reprogramming
of
cells
create
infection
structures
that
facilitate
inward
movement
symbiont.
Infection
initiates
in
epidermis,
different
legumes
utilizing
distinct
strategies
for
crossing
this
cell
layer,
either
between
(intercellular
infection)
or
transcellularly
(infection
thread
infection).
Recent
discoveries
plant
using
fluorescent-based
imaging
approaches
have
illuminated
spatiotemporal
dynamics
infection,
underscoring
importance
investigating
process
at
dynamic
single-cell
level.
Extending
fluorescence-based
live-dynamic
bacterial
partner
opens
exciting
prospect
learning
how
individual
reprogram
rhizospheric
host-confined
state
during
early
root
infection.
Plant Cell & Environment,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 17, 2025
ABSTRACT
Legumes
have
the
beneficial
capacity
to
establish
symbiotic
interactions
with
rhizobia,
which
provide
their
host
plants
fixed
nitrogen.
However,
in
presence
of
nitrogen,
this
process
is
rapidly
repressed
avoid
unnecessary
investments
carbon
symbiosis.
Several
players
involved
regulating
nodulation
response
nitrate
availability
been
identified,
including
peptide
hormones,
microRNAs
and
transcription
factors.
Nevertheless,
how
these
molecular
are
linked
each
other
what
underlying
mechanisms
at
play
inhibit
remain
unresolved.
Nitrate‐mediated
control
seems
differ
between
model
legumes,
such
as
Medicago
Lotus
,
compared
legume
crops
soybean.
A
deeper
understanding
regulatory
processes,
particularly
soybean,
expected
contribute
establishing
increased
efficiency
modern
agricultural
systems,
hence
improving
sustainability
by
reducing
need
for
environmentally
hazardous
nitrogen
fertilizers.
This
review
describes
state
art
nitrate‐regulated
while
drawing
parallels
described
legumes
addressing
knowledge
gaps
that
require
future
study.
Legumes
utilize
a
long-distance
signaling
feedback
pathway,
termed
Autoregulation
of
Nodulation
(AON),
to
regulate
the
establishment
and
maintenance
their
symbiosis
with
rhizobia.
Several
proteins
key
this
pathway
have
been
discovered,
but
AON
is
not
completely
understood.
Cells,
Год журнала:
2024,
Номер
13(18), С. 1561 - 1561
Опубликована: Сен. 17, 2024
Single-cell
RNA
sequencing
(scRNA-seq)
is
a
high-tech
method
for
characterizing
the
expression
patterns
of
heterogeneous
cells
in
same
tissue
and
has
changed
our
evaluation
biological
systems
by
increasing
number
individual
analyzed.
However,
full
potential
scRNA-seq,
particularly
plant
science,
not
yet
been
elucidated.
To
explore
utilization
scRNA-seq
technology
plants,
we
firstly
conducted
comprehensive
review
significant
findings
past
few
years.
Secondly,
introduced
research
applications
to
tissues
recent
years,
primarily
focusing
on
model
crops,
wood.
We
then
offered
five
databases
that
could
facilitate
identification
distinct
marker
genes
various
cell
types.
Finally,
analyzed
problems,
challenges,
directions
applying
with
aim
providing
theoretical
foundation
better
use
this
technique
future
research.
Frontiers in Plant Science,
Год журнала:
2024,
Номер
15
Опубликована: Март 21, 2024
Introduction
Bacteria
of
genus
Pectobacterium
,
encompassing
economically
significant
pathogens
affecting
various
plants,
includes
the
species
P.
betavasculorum
initially
associated
with
beetroot
infection.
However,
its
host
range
is
much
broader.
It
causes
diseases
sunflower,
potato,
tomato,
carrots,
sweet
radish,
squash,
cucumber,
and
chrysanthemum.
To
explain
this
phenomenon,
a
comprehensive
pathogenomic
phenomic
characterisation
was
performed.
Methods
Genomes
strains
isolated
from
artichoke
were
sequenced
compared
those
sugar
beet
isolates.
Metabolic
profiling
analyses
conducted
to
assess
virulence
determinants
adaptation
potential.
Pathogenicity
assays
performed
on
potato
tubers
chicory
leaves
confirm
in
silico
predictions
disease
symptoms.
Phenotypic
also
ability
synthesise
homoserine
lactones
siderophores.
Results
The
genome
size
ranged
4.675
4.931
kbp,
GC
%
between
51.0%
51.2%.
pangenome
open
comprises,
average,
4,220
gene
families.
Of
these,
83%
genes
are
core
genome,
2%
entire
unique
genes.
Strains
have
smaller
higher
number
than
other
plants.
Interestingly,
genomes
sunflower
share
391
common
CDS
that
not
present
or
potato.
Those
only
one
gene.
All
could
use
numerous
sugars
as
building
materials
energy
sources
possessed
high
repertoire
genomes.
able
cause
symptoms
leaves.
They
Discussion
findings
underscore
adaptability
diverse
hosts
environments.
adapted
plants
content
tissues
different
composition
fatty
acids
membranes
mechanism
replenishing
nitrogen
case
deficiency
compound
derived
plant
species.
Extensive
phenomics
genomic
study
shown
an
agronomically
relevant
pathogen.
The
cell
and
molecular
bases
of
arbuscular
mycorrhizal
(AM)
symbiosis,
a
crucial
plant-fungal
interaction
for
nutrient
acquisition,
have
been
extensively
investigated
by
coupling
traditional
RNA
sequencing
techniques
roots
sampled
in
bulk,
with
methods
to
capture
subsets
cells
such
as
laser
microdissection.
These
approaches
revealed
central
regulators
this
complex
relationship,
yet
the
requisite
level
detail
effectively
untangle
intricacies
temporal
spatial
development
remains
elusive.The
recent
adoption
single-cell
(scRNA-seq)
plant
research
is
revolutionizing
our
ability
dissect
intricate
transcriptional
profiles
plant-microbe
interactions,
offering
unparalleled
insights
into
diversity
dynamics
individual
during
symbiosis.
isolation
particularly
challenging
due
presence
walls,
leading
researchers
widely
adopt
nuclei
methods.
Despite
increased
resolution
that
analyses
offer,
it
also
comes
at
cost
perspective,
hence,
necessary
integration
these
transcriptomics
obtain
comprehensive
overview.To
date,
few
studies
on
interactions
published,
most
which
provide
high-resolution
atlases
will
become
fully
deciphering
symbiotic
addressing
future
questions.
In
AM
symbiosis
research,
key
processes
mutual
recognition
partners
arbuscule
within
cortical
cells,
or
senescence
degeneration,
remain
poorly
understood,
advancements
are
expected
shed
light
contribute
deeper
understanding
interaction.