Forestry Research,
Journal Year:
2022,
Volume and Issue:
2(1), P. 0 - 0
Published: Jan. 1, 2022
Forests
are
not
only
the
most
predominant
of
Earth's
terrestrial
ecosystems,
but
also
core
supply
for
essential
products
human
use.
However,
global
climate
change
and
ongoing
population
explosion
severely
threatens
health
forest
ecosystem
aggravtes
deforestation
degradation.
Forest
genomics
has
great
potential
increasing
productivity
adaptation
to
changing
climate.
In
last
two
decades,
field
advanced
quickly
owing
advent
multiple
high-throughput
sequencing
technologies,
single
cell
RNA-seq,
clustered
regularly
interspaced
short
palindromic
repeats
(CRISPR)-mediated
genome
editing,
spatial
transcriptomes,
as
well
bioinformatics
analysis
which
have
led
generation
multidimensional,
multilayered,
spatiotemporal
gene
expression
data.
These
together
with
basic
technologies
routinely
used
in
plant
biotechnology,
enable
us
tackle
many
important
or
unique
issues
biology,
provide
a
panoramic
view
an
integrative
elucidation
molecular
regulatory
mechanisms
underlying
phenotypic
changes
variations.
this
review,
we
recapitulated
advancement
current
status
12
research
branches
genomics,
then
provided
future
directions
focuses
each
area.
Evidently,
shift
from
simple
biotechnology-based
research,
setup
investigation
interpretation
development
differentiation
just
begun
emerge.
The Plant Cell,
Journal Year:
2024,
Volume and Issue:
36(4), P. 812 - 828
Published: Jan. 17, 2024
Abstract
Single-cell
and
single-nucleus
RNA-sequencing
technologies
capture
the
expression
of
plant
genes
at
an
unprecedented
resolution.
Therefore,
these
are
gaining
traction
in
molecular
developmental
biology
for
elucidating
transcriptional
changes
across
cell
types
a
specific
tissue
or
organ,
upon
treatments,
response
to
biotic
abiotic
stresses,
between
genotypes.
Despite
rapidly
accelerating
use
technologies,
collective
standardized
experimental
analytical
procedures
support
acquisition
high-quality
data
sets
still
missing.
In
this
commentary,
we
discuss
common
challenges
associated
with
single-cell
transcriptomics
plants
propose
general
guidelines
improve
reproducibility,
quality,
comparability,
interpretation
make
readily
available
community
fast-developing
field
research.
Genome biology,
Journal Year:
2021,
Volume and Issue:
22(1)
Published: Nov. 22, 2021
Plant
secondary
growth
depends
on
the
activity
of
vascular
cambium,
which
produces
xylem
and
phloem.
Wood
derived
from
is
most
abundant
form
biomass
globally
has
played
key
socio-economic
subsistence
roles
throughout
human
history.
However,
despite
intensive
study
development,
full
diversity
cell
types
gene
networks
engaged
are
still
poorly
understood.
Genome biology,
Journal Year:
2021,
Volume and Issue:
22(1)
Published: Feb. 19, 2021
Abstract
The
broad
application
of
single-cell
RNA
profiling
in
plants
has
been
hindered
by
the
prerequisite
protoplasting
that
requires
digesting
cell
walls
from
different
types
plant
tissues.
Here,
we
present
a
protoplasting-free
approach,
flsnRNA-seq,
for
large-scale
full-length
at
single-nucleus
level
using
isolated
nuclei.
Combined
with
10x
Genomics
and
Nanopore
long-read
sequencing,
validate
robustness
this
approach
Arabidopsis
root
cells
developing
endosperm.
Sequencing
results
demonstrate
it
allows
uncovering
alternative
splicing
polyadenylation-related
isoform
information
level,
which
facilitates
characterizing
identities.
PLANT PHYSIOLOGY,
Journal Year:
2021,
Volume and Issue:
188(2), P. 898 - 918
Published: Oct. 19, 2021
Abstract
As
the
main
photosynthetic
instruments
of
vascular
plants,
leaves
are
crucial
and
complex
plant
organs.
A
strict
organization
leaf
mesophyll
epidermal
cell
layers
orchestrates
photosynthesis
gas
exchange.
In
addition,
water
nutrients
for
growth
transported
through
tissue.
To
establish
single-cell
transcriptomic
landscape
these
different
tissues,
we
performed
high-throughput
transcriptome
sequencing
individual
cells
isolated
from
young
Arabidopsis
(Arabidopsis
thaliana)
seedlings
grown
in
two
environmental
conditions.
The
detection
approximately
19,000
transcripts
over
1,800
high-quality
revealed
14
populations
composing
young,
differentiating
leaf.
Besides
comprising
core
identified
subpopulations
with
a
distinct
identity
or
metabolic
activity.
proposed
cell-type-specific
markers
each
populations.
Finally,
an
intuitive
web
tool
allows
browsing
presented
dataset.
Our
data
present
insights
on
how
constituting
developing
connected
via
developmental,
metabolic,
stress-related
trajectories.
With
growing
populations
and
pressing
environmental
problems,
future
economies
will
be
increasingly
plant-based.
Now
is
the
time
to
reimagine
plant
science
as
a
critical
component
of
fundamental
science,
agriculture,
stewardship,
energy,
technology
healthcare.
This
effort
requires
conceptual
technological
framework
identify
map
all
cell
types,
comprehensively
annotate
localization
organization
molecules
at
cellular
tissue
levels.
framework,
called
Plant
Cell
Atlas
(PCA),
for
understanding
engineering
development,
physiology
responses.
A
workshop
was
convened
discuss
purpose
utility
such
an
initiative,
resulting
in
roadmap
that
acknowledges
current
knowledge
gaps
technical
challenges,
underscores
how
PCA
initiative
can
help
overcome
them.
Plant Communications,
Journal Year:
2022,
Volume and Issue:
4(3), P. 100508 - 100508
Published: Dec. 20, 2022
Plants
contain
a
large
number
of
cell
types
and
exhibit
complex
regulatory
mechanisms.
Studies
at
the
single-cell
level
have
gradually
become
more
common
in
plant
science.
Single-cell
transcriptomics,
spatial
metabolomics
techniques
been
combined
to
analyze
development.
These
used
study
transcriptomes
metabolomes
tissues
level,
enabling
systematic
investigation
gene
expression
metabolism
specific
during
defined
developmental
stages.
In
this
review,
we
present
an
overview
significant
breakthroughs
multi-omics
plants,
discuss
how
these
approaches
may
soon
play
essential
roles
research.
International Journal of Molecular Sciences,
Journal Year:
2022,
Volume and Issue:
23(9), P. 4497 - 4497
Published: April 19, 2022
In
recent
years,
advances
in
single-cell
RNA
sequencing
(scRNA-seq)
technologies
have
continued
to
change
our
views
on
biological
systems
by
increasing
the
spatiotemporal
resolution
of
analysis
resolution.
Application
scRNA-seq
plants
enables
comprehensive
characterization
both
common
and
rare
cell
types
states,
uncovering
new
revealing
how
relate
each
other
spatially
developmentally.
This
review
provides
an
overview
methodologies,
highlights
application
plant
science,
justifies
why
is
a
master
player
sequencing,
explains
role
transcriptomics
environmental
stress
adaptation,
alongside
challenges
prospects
transcriptomics.
Collectively,
we
put
forward
central
research.