Critical Reviews in Plant Sciences,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 29
Published: March 20, 2025
Root
diseases
are
a
major
global
threat
to
sustainable
agricultural
production.
Complexes
of
interacting
soilborne
fungal,
oomycete
and
nematode
pathogens
involved
in
causing
these
that
generally
termed
root
disease
complexes.
These
pathogen
complexes
typically
have
resilient
long-term
survival
mechanisms,
the
ability
cross-infect
multiple
crop
genera
species,
wide
range
spatial
dispersal
modes.
Although,
some
instances,
individual
within
complex
been
identified
using
classical
molecular
techniques,
most
cases
full
remain
undefined.
At
level,
it
is
increasingly
obvious
different
engage
unique
sets
proteins
infect
hosts
successfully.
In
addition,
unpredictable
ever-changing
nature
space
time
challenges
their
management.
A
better
understanding
whole
system
dynamics
thus
prerequisite
for
effective
management,
especially
under
climate
change
scenarios.
Management
dependent
upon
improved
detection
diagnostic
techniques
accurately
define
complement
involved,
along
with
an
evolution
complexes,
epidemiology,
adaptation
across
wide-ranging
dynamic
systems.
This
review
will
focus
on
arable
crops,
particular
emphasis
diagnosis,
genetic
diversity,
management
options,
and,
how
airborne
interact,
identify
future
scope
research.
Plant Cell Reports,
Journal Year:
2024,
Volume and Issue:
43(3)
Published: Feb. 27, 2024
The
escalating
challenges
posed
by
metal(loid)
toxicity
in
agricultural
ecosystems,
exacerbated
rapid
climate
change
and
anthropogenic
pressures,
demand
urgent
attention.
Soil
contamination
is
a
critical
issue
because
it
significantly
impacts
crop
productivity.
widespread
threat
of
can
jeopardize
global
food
security
due
to
contaminated
supplies
pose
environmental
risks,
contributing
soil
water
pollution
thus
impacting
the
whole
ecosystem.
In
this
context,
plants
have
evolved
complex
mechanisms
combat
stress.
Amid
array
innovative
approaches,
omics,
notably
transcriptomics,
proteomics,
metabolomics,
emerged
as
transformative
tools,
shedding
light
on
genes,
proteins,
key
metabolites
involved
stress
responses
tolerance
mechanisms.
These
identified
candidates
hold
promise
for
developing
high-yielding
crops
with
desirable
agronomic
traits.
Computational
biology
tools
like
bioinformatics,
biological
databases,
analytical
pipelines
support
these
omics
approaches
harnessing
diverse
information
facilitating
mapping
genotype-to-phenotype
relationships
under
conditions.
This
review
explores:
(1)
multifaceted
strategies
that
use
adapt
their
environment;
(2)
latest
findings
metal(loid)-mediated
metabolomics
studies
across
various
plant
species;
(3)
integration
data
artificial
intelligence
high-throughput
phenotyping;
(4)
bioinformatics
single
and/or
multi-omics
integration;
(5)
insights
into
adaptations
future
outlooks;
(6)
capacity
advances
creating
sustainable
resilient
thrive
metal(loid)-contaminated
environments.
Plant Cell & Environment,
Journal Year:
2024,
Volume and Issue:
47(6), P. 2109 - 2126
Published: Feb. 26, 2024
Abstract
Drought
dynamically
influences
the
interactions
between
plants
and
pathogens,
thereby
affecting
disease
outbreaks.
Understanding
intricate
mechanistic
aspects
of
multiscale
among
plants,
environment—known
as
triangle—is
paramount
for
enhancing
climate
resilience
crop
plants.
In
this
review,
we
systematically
compile
comprehensively
analyse
current
knowledge
on
influence
drought
severity
plant
diseases.
We
emphasise
that
studying
these
stresses
in
isolation
is
not
sufficient
to
predict
how
respond
combined
stress
from
both
pathogens.
The
impact
pathogens
complex
multifaceted,
encompassing
activation
antagonistic
signalling
cascades
response
factors.
nature,
intensity,
temporality
pathogen
occurrence
significantly
outcome
delineate
drought‐sensitive
nodes
immunity
highlight
emerging
points
crosstalk
defence
under
stress.
limited
understanding
acknowledged
a
key
research
gap
area.
information
synthesised
herein
will
be
crucial
crafting
strategies
accurate
prediction
mitigation
future
risks,
particularly
context
changing
climate.
ABSTRACT
The
increasing
frequency
of
concurrent
heat
and
drought
stress
poses
a
significant
challenge
to
agricultural
productivity,
particularly
for
cool‐season
grain
legumes,
including
broad
bean
(
Vicia
Faba
L.),
lupin
Lupinus
spp.),
lentil
Lens
culinaris
Medik),
chickpea
Cicer
arietinum
grasspea
Lathyrus
sativus
pea
Pisum
sativum
common
vetch
sativa
L.).
These
legumes
play
vital
role
in
sustainable
systems
due
their
nitrogen‐fixing
ability
high
nutritional
value.
This
review
synthesizes
current
knowledge
the
impacts
tolerance
mechanisms
associated
with
combined
stresses
these
crops.
We
evaluate
physiological
biochemical
responses
stress,
focusing
on
detrimental
effects
growth,
development,
yield.
Key
genetic
molecular
mechanisms,
such
as
roles
osmolytes,
antioxidants,
stress‐responsive
genes,
are
explored.
also
discuss
intricate
interplay
between
signaling
pathways,
involvement
Ca
2+
ions,
reactive
oxygen
species,
transcription
factor
DREB2A,
endoplasmic
reticulum
mediating
responses.
comprehensive
analysis
offers
new
insights
into
developing
resilient
legume
varieties
enhance
sustainability
under
climate
change.
Future
research
should
prioritize
integrating
omics
technologies
unravel
plant
abiotic
stresses.
Plants,
Journal Year:
2024,
Volume and Issue:
13(9), P. 1238 - 1238
Published: April 29, 2024
Over
the
years,
changes
in
agriculture
industry
have
been
inevitable,
considering
need
to
feed
growing
population.
As
world
population
continues
grow,
food
security
has
become
challenged.
Resources
such
as
arable
land
and
freshwater
scarce
due
quick
urbanization
developing
countries
anthropologic
activities;
expanding
agricultural
production
areas
is
not
an
option.
Environmental
climatic
factors
drought,
heat,
salt
stresses
pose
serious
threats
worldwide.
Therefore,
utilize
remaining
water
effectively
efficiently
maximize
yield
support
increasing
demand
crucial.
It
essential
develop
climate-resilient
crops
that
will
outperform
traditional
under
any
abiotic
stress
conditions
salt,
well
these
combinations.
This
review
provides
a
glimpse
of
how
plant
breeding
evolved
overcome
harsh
environmental
what
future
would
be
like.
Plant Biotechnology Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 14, 2025
Summary
Genomic
selection
(GS)
is
a
new
breeding
strategy.
Generally,
traditional
methods
are
used
for
predicting
traits
based
on
the
whole
genome.
However,
prediction
accuracy
of
these
models
remains
limited
because
they
cannot
fully
reflect
intricate
nonlinear
interactions
between
genotypes
and
traits.
Here,
novel
single
nucleotide
polymorphism
(SNP)
feature
extraction
technique
Pearson‐Collinearity
Selection
(PCS)
firstly
presented
improves
across
several
known
models.
Furthermore,
gene
network
model
(NetGP)
deep
learning
approach
designed
phenotypic
prediction.
It
utilizes
transcriptomic
dataset
(Trans),
genomic
multi‐omics
(Trans
+
SNP).
The
NetGP
demonstrated
better
performance
compared
to
other
in
predictions,
predictions
predictions.
performed
than
independent
or
Prediction
evaluations
using
plants'
data
showed
good
generalizability
NetGP.
Taken
together,
our
study
not
only
offers
effective
tool
plant
but
also
points
avenues
future
research.