Plant metabolomics: applications and challenges in the era of multi-omics big data
Yingchen Hao,
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Zhonghui Zhang,
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Erping Luo
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et al.
aBIOTECH,
Journal Year:
2025,
Volume and Issue:
6(1), P. 116 - 132
Published: Jan. 23, 2025
Abstract
Plant
metabolites
are
crucial
for
the
growth,
development,
environmental
adaptation,
and
nutritional
quality
of
plants.
metabolomics,
a
key
branch
systems
biology,
involves
comprehensive
analysis
interpretation
composition,
variation,
functions
these
metabolites.
Advances
in
technology
have
transformed
plant
metabolomics
into
sophisticated
process
involving
sample
collection,
metabolite
extraction,
high-throughput
analysis,
data
processing,
multidimensional
statistical
analysis.
In
today’s
era
big
data,
field
is
witnessing
an
explosion
acquisition,
offering
insight
complexity
dynamics
metabolism.
Moreover,
multiple
omics
strategies
can
be
integrated
to
reveal
interactions
regulatory
networks
across
different
molecular
levels,
deepening
our
understanding
biological
processes.
this
review,
we
highlight
recent
advances
challenges
emphasizing
roles
technique
improving
crop
varieties,
enhancing
value,
increasing
stress
resistance.
We
also
explore
scientific
foundations
its
applications
medicine,
ecological
conservation.
Language: Английский
Plant Sample Preparation for Metabolomics, Lipidomics, Ionomics, Fluxomics, and Peptidomics
Separations,
Journal Year:
2025,
Volume and Issue:
12(2), P. 21 - 21
Published: Jan. 24, 2025
Plant
metabolomics,
lipidomics,
ionomics,
fluxomics,
and
peptidomics
are
essential
approaches
for
exploring
how
plants
respond
to
epigenetic,
pathological,
environmental
stimuli
through
comprehensive
chemical
profiling.
Over
the
past
decades,
significant
progress
has
been
made
in
protocols
methodologies
address
challenges
sample
collection
extraction.
Despite
these
advancements,
preparation
remains
intricate,
with
ongoing
debates
about
most
effective
strategies.
This
review
emphasizes
importance
of
clear
research
questions
well-designed
experiments
minimize
complexity,
save
time,
enhance
reproducibility.
It
provides
an
overview
key
steps
fields,
including
harvesting,
drying,
extraction,
data
pre-acquisition
major
analytical
platforms.
By
discussing
best
practices
common
challenges,
this
aims
streamline
methods
promote
more
consistent
reliable
outcomes.
Language: Английский
Microbiota–Gut–Brain Axis: Mass-Spectrometry-Based Metabolomics in the Study of Microbiome Mediators—Stress Relationship
Biomolecules,
Journal Year:
2025,
Volume and Issue:
15(2), P. 243 - 243
Published: Feb. 7, 2025
The
microbiota-gut-brain
axis
is
a
complex
bidirectional
communication
system
that
involves
multiple
interactions
between
intestinal
functions
and
the
emotional
cognitive
centers
of
brain.
These
are
mediated
by
molecules
(metabolites)
produced
in
both
areas,
which
considered
mediators.
To
shed
light
on
this
mechanism,
still
largely
unknown,
reliable
characterization
mediators
essential.
Here,
we
review
most
studied
metabolites
axis,
metabolic
pathways
they
involved,
their
functions.
This
focuses
mainly
use
mass
spectrometry
for
determination,
reporting
latest
analytical
methods,
limitations,
future
perspectives.
strategy
qualitative-quantitative
must
be
order
to
elucidate
molecular
mechanisms
underlying
influence
above-mentioned
stress
resilience
or
vulnerability.
Language: Английский
Reversed-phase liquid chromatography/mass spectrometry approach for (un)targeted analysis of polar to mid-polar metabolites
Eva Cífková,
No information about this author
Zdeňka Neuerová,
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Miroslav Lísa
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et al.
Talanta,
Journal Year:
2025,
Volume and Issue:
unknown, P. 127853 - 127853
Published: Feb. 1, 2025
Language: Английский
Nutrient stress triggers sugar-mediated carotenoid production in algal-bacterial interactions
World Journal of Microbiology and Biotechnology,
Journal Year:
2025,
Volume and Issue:
41(3)
Published: March 1, 2025
Language: Английский
Semi-quantitative lipidomics reveals the characteristics of lipid metabolism in sheep milk fermentation
Fei Tong,
No information about this author
Shangchen Fu,
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Yufei Shen
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et al.
Food Research International,
Journal Year:
2025,
Volume and Issue:
unknown, P. 116517 - 116517
Published: April 1, 2025
Language: Английский
Discrepancies in the rumen microbiome, metabolome, and serum metabolome among Hu sheep, East Friesian sheep, and East Friesian × Hu crossbred sheep
Ruilin Du,
No information about this author
Shuo Yan,
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Wenna Yao
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et al.
Frontiers in Microbiology,
Journal Year:
2025,
Volume and Issue:
16
Published: April 28, 2025
Crossbreeding
has
emerged
as
a
strategy
to
combine
desirable
traits
from
different
sheep
breeds,
with
the
goal
of
enhancing
productivity,
disease
resistance,
and
growth
rates.
This
study
compares
immune
responses,
rumen
microbiomes,
serum
metabolites
Hu
sheep,
East
Friesian
(EF)
crossbred
×
EF
(DH)
explore
effects
crossbreeding
on
productivity
resistance.
exhibited
significantly
higher
lymphocyte
counts
(
p
<
0.05)
white
blood
cell
(WBC)
compared
DH
indicating
stronger
basal
responses.
showed
superior
cluster
differentiation
4+/cluster
8+
(CD4+/CD8+)
T
ratio
sheep.
Rumen
microbiome
analysis
revealed
distinct
microbial
profiles;
relative
abundances
Prevotella
0.05),
which
is
associated
improved
Metabolomic
significant
differences
in
bile
acid
profiles:
levels
6-keto
lithocholic
(6-ketoLCA),
cholic
chenodeoxycholic
(CDCA),
3
β
-hyodeoxycholic
(3β-HDCA)
function
gut
health.
These
results
indicate
that
improves
resilience
metabolic
efficiency,
implications
for
breeding
strategies
designed
enhance
livestock
Language: Английский
Omics based technology application in poultry meat research
Huaijun Zhou,
No information about this author
Austin Quach,
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Mahesh N. Nair
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et al.
Poultry Science,
Journal Year:
2024,
Volume and Issue:
104(1), P. 104643 - 104643
Published: Dec. 5, 2024
Omics
techniques,
including
genomics,
transcriptomics,
proteomics,
metabolomics,
and
lipidomics,
analyze
entire
sets
of
biological
molecules
to
seek
comprehensive
knowledge
on
a
particular
phenotype.
These
approaches
have
been
extensively
utilized
identify
both
biomarkers
mechanisms
for
various
physiological
conditions
in
livestock
poultry.
The
purpose
this
symposium
was
not
only
focus
how
recent
omics
technologies
can
be
used
gather,
integrate,
interpret
data
produced
by
methodologies
poultry
research,
but
also
highlight
bioinformatics
increased
our
understanding
meat
quality
problems
other
complex
traits.
This
Poultry
Science
Association
paper
includes
5
sections
that
cover:
1)
functional
annotation
cis-regulatory
elements
the
genome
informs
genetic
control
traits
poultry,
2)
mass
spectrometry
3)
proteomic
investigate
quality,
4)
spatial
transcriptomics
metabolomics
studies
wooden
breast
disease,
5)
multiomics
analyses
chicken
spaghetti
meat.
topics
provide
insights
into
molecular
components
contribute
structure,
function,
dynamics
underlying
influencing
traits,
myopathies.
information
will
ultimately
improving
composition
products.
Language: Английский