Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 24, 2023
Abstract
Water-deficit,
as
a
consequence
of
elongated
drought
periods
due
to
current
climate
trends,
is
one
the
most
imminent
abiotic
stresses
limiting
crop
productivity
worldwide.
Also,
production
potato
–
world’s
fourth
important
challenged
by
effects
water-deficit.
To
investigate
metabolic
pathway
activity
in
tuber
subjected
water-deficit,
correlation-based
network
analysis
combined
with
machine-learning
techniques
approach
was
conducted
on
subset
samples
association
panel,
grown
an
augmented
block
design
under
normal
irrigation
and
water-deficit
conditions
Ica,
Peru.
Metabolic
profiles
for
all
were
generated
using
cold
injection
GC-TOF-MS
platform
identifying
unequivocally
685
metabolites.
Samples
separated
into
positive
spectrum
(PS)
negative
(NS)
groups
based
their
projection
principal
component
2
(PC2)
analysis.
Correlation
networks
showed
strong
discrepancy
edge
number
between
PS
NS
correlation
(143,478
vs.
185,565
edges).
Correlation-based
machine
learning
highlighted
pathways
centered
around
tyrosine
α-ketoglutarate
suggestive
increased
rosmarinic
acid
biosynthesis
I
II
tuber.
Our
study
suggests
that
copes
stress
rewiring
its
boosting
counteract
ROS
ensuring
onset
next
life
cycle.
The Plant Journal,
Journal Year:
2023,
Volume and Issue:
116(4), P. 1118 - 1135
Published: May 30, 2023
Field-grown
crops
rarely
experience
growth
conditions
in
which
yield
can
be
maximized.
Environmental
stresses
occur
combination,
with
advancements
crop
tolerance
further
complicated
by
its
polygenic
nature.
Strategic
targeting
of
causal
genes
is
required
to
meet
future
production
needs.
Here,
we
employed
a
systems
biology
approach
wheat
(Triticum
aestivum
L.)
investigate
physio-metabolic
adjustments
and
transcriptome
reprogramming
involved
acclimations
heat,
drought,
salinity
all
combinations
therein.
A
significant
shift
magnitude
complexity
plant
response
was
evident
across
stress
scenarios
based
on
the
agronomic
losses,
increased
proline
concentrations
8.7-fold
increase
unique
differentially
expressed
transcripts
(DETs)
observed
under
triple
condition.
Transcriptome
data
from
treatments
were
assembled
into
an
online,
open
access
eFP
browser
for
visualizing
gene
expression
during
abiotic
stress.
Weighted
co-expression
network
analysis
revealed
152
hub
32%
contained
ethylene-responsive
element
binding
factor-associated
amphiphilic
repression
(EAR)
transcriptional
motif.
Cross-referencing
against
31
DETs
common
isolated
TaWRKY33
as
leading
candidate
greater
combinatorial
stresses.
Integration
our
findings
available
literature
functional
characterization
allowed
us
suggest
flexible
adaptive
stacking
wheat.
Our
demonstrates
strength
robust
multi-omics-based
resources
discovery
complex
environmental
conditions.
Accessibility
such
datasets
will
promote
cross-validation
studies
aid
accelerating
validation
resiliency.
