The
presence
and
localization
of
plant
metabolites
are
indicative
physiological
processes,
e.g.,
under
biotic
abiotic
stress
conditions.
Further,
the
chemical
composition
parts
is
related
to
their
quality
as
food
or
for
medicinal
applications.
Mass
spectrometry
imaging
(MSI)
has
become
a
popular
analytical
technique
exploring
visualizing
spatial
distribution
molecules
within
tissue.
This
review
provides
summary
mass
methods
used
mapping
identifying
in
tissues.
We
present
benefits
disadvantages
both
vacuum
ambient
ionization
methods,
considering
direct
indirect
approaches.
Finally,
we
discuss
current
limitations
annotating
perspectives
future
investigations.
Communications Biology,
Journal Year:
2025,
Volume and Issue:
8(1)
Published: March 4, 2025
Invasive
plants
threaten
global
ecosystems,
yet
traditional
analyses
of
functional
traits
cannot
fully
explain
their
dominance
over
co-occurring
natives.
Metabolomics
offers
insights
into
plant
invasions,
but
single-technique
studies
often
miss
critical
biochemical
mechanisms.
We
employ
a
multimodal
metabolomics
approach
(¹H
NMR,
LC
MS/MS,
FT-ICR-MS,
and
MALDI-MSI)
to
investigate
the
basis
Lehmann
lovegrass
(Eragrostis
lehmanniana)
invasion
in
semi-arid
North
America,
comparing
it
with
native
grass,
Arizona
cottontop
(Digitaria
californica).
Our
analysis
reveals
three
metabolomic
compared
cottontop:
Enhanced
nitrogen
allocation
shoots,
reduced
defensive
metabolites
root
layers;
increased
exudate
modulation
under
stress
conditions.
These
suggest
succeeds
through
adaptation
increasing
aridity
rather
than
direct
competition,
demonstrating
nutrient-poor
environments
high
phenotypic
plasticity
response
aridity.
This
integrated
provides
new
mechanistic
ecology
environmental
change.
Nature Chemical Biology,
Journal Year:
2024,
Volume and Issue:
20(8), P. 1033 - 1043
Published: Feb. 1, 2024
Abstract
The
leaf-cutter
ant
fungal
garden
ecosystem
is
a
naturally
evolved
model
system
for
efficient
plant
biomass
degradation.
Degradation
processes
mediated
by
the
symbiotic
fungus
Leucoagaricus
gongylophorus
are
difficult
to
characterize
due
dynamic
metabolisms
and
spatial
complexity
of
system.
Herein,
we
performed
microscale
imaging
across
12-µm-thick
adjacent
sections
Atta
cephalotes
gardens
applied
metabolome-informed
proteome
approach
map
lignin
This
combines
two
multiomics
mass
spectrometry
modalities
that
enabled
us
visualize
colocalized
metabolites
proteins
through
garden.
Spatially
profiled
revealed
an
accumulation
lignin-related
products,
outlining
morphologically
unique
microhabitats.
Metaproteomic
analyses
these
microhabitats
carbohydrate-degrading
enzymes,
indicating
prominent
role
in
lignocellulose
decomposition.
Integration
data
provides
comprehensive
view
underlying
biological
pathways
inform
our
understanding
metabolic
matter
degradation
within
micrometer-scale
environment.
Frontiers in Plant Science,
Journal Year:
2024,
Volume and Issue:
15
Published: March 1, 2024
The
impact
of
water-deficit
(WD)
stress
on
plant
metabolism
has
been
predominantly
studied
at
the
whole
tissue
level.
However,
tissues
are
made
several
distinct
cell
types
with
unique
and
differentiated
functions,
which
limits
‘omics’-based
studies
to
determine
only
an
averaged
molecular
signature
arising
from
multiple
types.
Advancements
in
spatial
omics
technologies
provide
opportunity
understand
mechanisms
underlying
responses
WD
cell-type
levels.
Here,
we
spatiotemporal
metabolic
two
poplar
(
Populus
tremula×
P.
alba
)
leaf
-palisade
vascular
cells-
using
matrix-assisted
laser
desorption/ionization-mass
spectrometry
imaging
(MALDI-MSI).
We
identified
stress-mediated
shifts
each
type
when
exposed
early
prolonged
stresses
recovery
stress.
During
water-limited
conditions,
flavonoids
phenolic
metabolites
were
exclusively
accumulated
palisade
cells.
cells
mainly
sugars
fatty
acids
during
respectively,
highlighting
functional
divergence
response
By
comparing
our
MALDI-MSI
data
gas
chromatography-mass
(GC-MS)-based
profile,
a
few
including
monosaccharides,
hexose
phosphates,
palmitic
acid
that
showed
similar
accumulation
trend
both
Overall,
this
work
highlights
potential
MSI
approach
complement
tissue-based
metabolomics
techniques
provides
novel
understanding
This
will
help
engineer
specific
pathways
cellular
level
strategic
perennial
trees
like
poplars
withstand
future
aberrations
environmental
conditions
increase
bioenergy
sustainability.
ACS Central Science,
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 21, 2024
This
outlook
explores
how
two
different
molecular
imaging
approaches
might
be
combined
to
gain
insight
into
dynamic,
subcellular
metabolic
processes.
Specifically,
we
discuss
matrix-assisted
laser
desorption/ionization
mass
spectrometry
(MALDI-MSI)
and
stimulated
Raman
scattering
(SRS)
microscopy,
which
have
significantly
pushed
the
boundaries
of
metabolomic
analyses
in
their
own
right,
could
create
comprehensive
images.
We
first
briefly
summarize
recent
advances
for
each
technique.
then
explore
one
overcome
inherent
limitations
individual
method,
by
envisioning
orthogonal
interchangeable
workflows.
Additionally,
delve
potential
benefits
adopting
a
complementary
approach
that
combines
both
MSI
SRS
spectro-microscopy
informing
on
specific
chemical
structures
through
functional-group-specific
targets.
Ultimately,
integrating
strengths
modalities,
researchers
can
achieve
more
understanding
biological
systems,
enabling
precise
investigations.
synergistic
holds
substantial
promise
expand
our
toolkit
studying
metabolites
complex
environments.
Journal of the American Society for Mass Spectrometry,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 7, 2025
The
analysis
of
small
carboxyl-containing
metabolites
(CCMs),
such
as
tricarboxylic
acid
(TCA)
cycle
intermediates,
provides
highly
useful
information
about
the
metabolic
state
cells.
However,
their
detection
using
liquid
chromatography–electrospray
ionization–tandem
mass
spectrometry
(LC-ESI-MS/MS)
methods
can
face
sensitivity
and
specificity
challenges
given
low
ionization
efficiency
presence
isomers.
Ion
mobility
(IMS),
trapped
ion
(TIMS),
additional
specificity,
but
further
signal
loss
occur
during
separation
process.
We,
therefore,
developed
a
solution
to
boost
CCM
chromatographic
well
leverage
IMS.
Inspired
by
carbodiimide-mediated
coupling
carboxylic
acids
with
4-bromo-N-methylbenzylamine
(4-BNMA)
for
quantitative
analysis,
we
newly
report
benefits
this
reagent
TIMS-based
measurement.
We
observed
pronounced
(orders
magnitude)
increase
in
enhanced
isomer
separations,
particularly
LC.
found
that
utilization
brominated
reagent,
4-BNMA,
offered
unique
untargeted
Derivatized
CCMs
displayed
shifted
out
metabolite
lipid
region
TIMS-MS
space
characteristic
isotope
patterns,
which
were
leveraged
data
mining
Mass
Spectrometry
Query
Language
(MassQL)
indication
number
carboxyl
groups.
utility
our
LC-ESI-TIMS-MS/MS
method
4-BMA
derivatization
was
demonstrated
via
characterization
alterations
expression
bone
marrow-derived
macrophages
upon
activation
lipopolysaccharide.
While
reprogramming
activated
has
been
characterized
previously,
especially
respect
TCA
novel
finding
isomeric
itaconic,
mesaconic,
citraconic
after
24
h,
indicating
possible
roles
inflammatory
response.
New Phytologist,
Journal Year:
2024,
Volume and Issue:
243(5), P. 2021 - 2036
Published: July 16, 2024
Summary
Phytohormones
possess
unique
chemical
structures,
and
their
physiological
effects
are
regulated
through
intricate
interactions
or
crosstalk
among
multiple
phytohormones.
MALDI‐MSI
enables
the
simultaneous
detection
imaging
of
hormones.
However,
its
application
for
tracing
phytohormones
is
currently
restricted
by
low
abundance
hormone
in
plant
suboptimal
matrix
selection.
2,4‐Dihydroxy‐5‐nitrobenzoic
acid
(DHNBA)
was
reported
as
a
new
MALDI
enhanced
tissues.
DHNBA
demonstrates
remarkable
sensitivity
improvement
when
compared
to
commonly
used
matrix,
2,5‐dihydroxybenzoic
(DHB),
isoprenoid
cytokinins
(
trans
‐zeatin
t
Z),
dihy‐drozeatin
(DHZ),
meta
‐topolin
m
T),
N
6
‐(Δ
2
‐isopentenyl)
adenine
(iP)),
jasmonic
(JA),
abscisic
(ABA),
1‐aminocyclo‐propane‐1‐carboxylic
(ACC)
standards.
The
distinctive
properties
(i.e.
robust
UV
absorption,
uniform
deposition,
negligible
background
interference,
high
ionization
efficiency
phytohormones)
make
it
an
ideal
phytohormones,
including
Z,
DHZ,
ABA,
indole‐3‐acetic
(IAA),
ACC,
various
tissues,
example
germinating
seeds,
primary/lateral
roots,
nodules.
Employing
significantly
enhances
our
capability
concurrently
track
complex
phytohormone
biosynthesis
pathways
while
providing
precise
differentiation
specific
roles
played
individual
within
same
category.
This
will
propel
forward
comprehensive
exploration
phytohormonal
functions
science.