Plants,
Journal Year:
2023,
Volume and Issue:
12(18), P. 3287 - 3287
Published: Sept. 17, 2023
Biological
invasions
pose
global
threats
to
biodiversity
and
ecosystem
functions.
Invasive
species
often
display
a
high
degree
of
phenotypic
plasticity,
enabling
them
adapt
new
environments.
This
study
examines
plasticity
water
stress
in
native
invasive
Opuntia
ficus-indica
populations,
prevalent
invader
arid
semi-arid
ecosystems.
Through
controlled
greenhouse
experiments,
we
evaluated
three
nine
populations.
While
all
plants
survived
the
dry
treatment,
natives
exhibited
lower
availability
with
only
36%
aboveground
biomass
increase
compared
invasives
greater
94%.
In
terms
belowground
biomass,
there
was
no
significant
response
increased
for
but
from
populations
showed
75%
wet
treatment.
Enhanced
observed
O.
is
likely
driver
their
success
invasiveness
across
different
regions,
particularly
clear
environmental
preference
towards
less
conditions.
Climate
change
expected
amplify
invasion
due
expansion
areas
desertification.
adapts
diverse
environments,
survives
spells,
grows
rapidly
times
high-water
supply,
making
it
candidate
potential
climate
change.
Biology,
Journal Year:
2024,
Volume and Issue:
13(1), P. 29 - 29
Published: Jan. 4, 2024
Diseases
pose
a
significant
and
pressing
concern
for
the
sustainable
development
of
aquaculture
sector,
particularly
as
their
impact
continues
to
grow
due
climatic
shifts
such
rising
water
temperatures.
While
various
approaches,
ranging
from
biosecurity
measures
vaccines,
have
been
devised
combat
infectious
diseases,
efficacy
is
disease
species
specific
contingent
upon
multitude
factors.
The
fields
genetics
genomics
offer
effective
tools
control
prevent
outbreaks
in
aquatic
animal
species.
In
this
study,
we
present
key
findings
our
recent
research,
focusing
on
genetic
resistance
three
diseases:
White
Spot
Syndrome
Virus
(WSSV)
white
shrimp,
Bacterial
Necrotic
Pancreatitis
(BNP)
striped
catfish,
skin
fluke
(a
parasitic
ailment)
yellowtail
kingfish.
Our
investigations
reveal
that
all
possess
substantial
heritable
components
disease-resistant
traits,
indicating
potential
responsiveness
artificial
selection
improvement
programs
tailored
these
diseases.
Also,
observed
high
association
between
traits
survival
rates.
Through
selective
breeding
aimed
at
enhancing
pathogens,
achieved
gains,
averaging
10%
per
generation.
These
also
contributed
positively
overall
production
performance
productivity
Although
effects
immunological
or
immune
responses
were
not
they
yielded
favorable
results
catfish.
Furthermore,
genomic
analyses,
including
shallow
genome
sequencing
pedigreed
populations,
enriched
understanding
architecture
underlying
traits.
are
primarily
governed
by
polygenic
nature,
with
numerous
genes
variants,
each
small
effects.
Leveraging
range
advanced
statistical
methods,
mixed
models
machine
deep
learning,
developed
prediction
demonstrated
moderate-to-high
levels
accuracy
forecasting
disease-related
addition
genomics,
RNA-seq
experiments
identified
several
undergo
upregulation
response
infection
viral
loads
within
populations.
Preliminary
microbiome
data,
while
offering
limited
predictive
one
studied
species,
underscore
combining
data
sequence
information
enhance
power
Lastly,
paper
briefly
discusses
roles
precision
agriculture
systems
AI
algorithms
outlines
path
future
research
expedite
lines
target
conclusion,
study
underscores
critical
role
fortifying
sector
against
threats
posed
paving
way
more
resilient
development.
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.
Plants,
Journal Year:
2025,
Volume and Issue:
14(6), P. 960 - 960
Published: March 19, 2025
Phenotypic
plasticity
is
an
important
adaptive
strategy
that
enables
plants
to
respond
environmental
changes,
particularly
temperature
fluctuations
associated
with
global
warming.
In
this
study,
the
phenotypic
of
Iris
pumila
leaf
traits
in
response
elevated
(by
1
°C)
was
investigated
under
controlled
experimental
conditions.
particular,
we
functional
and
mechanistic
traits:
specific
area
(SLA),
dry
matter
content
(LDMC),
water
(SLWC),
stomatal
density
(SD),
thickness
(LT),
chlorophyll
content.
The
results
revealed
induced
trait-specific
plastic
responses,
exhibiting
greater
than
traits,
reflecting
their
role
short-term
acclimation.
SLA
SD
increased
at
higher
temperatures,
promoting
photosynthesis
gas
exchange,
while
reductions
SLWC,
LDMC,
LT,
suggest
a
trade-off
favor
growth
metabolic
activity
over
structural
investment.
Notably,
exhibited
highest
plasticity,
emphasizing
its
crucial
modulating
photosynthetic
efficiency
thermal
stress.
Correlation
analyses
strong
integration
between
distinct
trait
relationships
emerging
different
These
findings
I.
employs
both
rapid
physiological
adjustments
longer-term
strategies
cope
stress,
facilitating
maintaining
ecological
stability.
New Phytologist,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 28, 2025
Summary
The
leaf
economics
spectrum
(LES)
describes
a
suite
of
functional
traits
that
consistently
covary
at
large
spatial
and
taxonomic
scales.
Despite
its
importance
these
larger
scales,
few
studies
have
examined
the
major
drivers
intraspecific
variation
in
LES
–
phenotypic
plasticity
standing
genetic
variation.
Using
experimental
precipitation
manipulations,
we
whether
covariation
among
selection
on
trait
combinations
change
as
diverse
genotypes
widespread
perennial
grass
Panicum
virgatum
are
exposed
to
differences
precipitation.
We
also
used
RNA‐Seq
examine
groups
co‐expressed
genes
align
with
function
processes
hypothesized
underlie
LES.
Water
availability
impacted
important
ways
between
(i.e.
correlational
selection)
tended
be
strongest
when
water
was
high.
Additionally,
many
associated
functioned
may
explain
how
originates,
such
chloroplasts,
cell
walls,
nitrogen
metabolism.
is
likely
an
modulator
evolution
P.
can
better
understood
by
examining
gene
expression.
Horticulturae,
Journal Year:
2025,
Volume and Issue:
11(4), P. 428 - 428
Published: April 17, 2025
Irrigation
water
salinity
poses
escalating
threats
to
agricultural
sustainability
in
degraded
agroecosystems.
This
study
has
investigated
the
effects
of
magnetized
versus
non-magnetized
saline
on
soil
physicochemical
properties
and
forage
productivity
three
Lotus
corniculatus
L.
genotypes
(salt-sensitive
ecotype
232098,
moderately
salt-tolerant
San
Gabriel,
Estanzuela
Ganador)
arid
northern
Mexico.
A
split-plot
randomized
block
design
with
replicates
assigned
treatments
(magnetized
[MWT]
vs.
[NMWT])
main
plots
subplots.
After
one
year
irrigation,
MWT
significantly
attenuated
salinization,
evidenced
by
23%
lower
electrical
conductivity
(5.8
7.2
dS·m⁻1),
a
26%
reduced
sodium
adsorption
ratio
(6.2
8.4),
41%
decreased
concentration
(20.7
35.4
meq·L⁻1)
compared
NMWT
(p
<
0.05).
Although
agronomic
traits
(stem
dimensions,
leaf
area
index,
rhizome
proliferation)
exhibited
salt
sensitivity
from
third
season
onward,
fresh
biomass
yield
remained
unaffected
treatment.
Genotypic
differences
dominated
productivity.
Ganador
achieved
superior
both
seasons
(288.9
g/rhizome
fall;
184.2
g
winter),
outperforming
Gabriel
15.8%
232098
56.8%
These
findings
demonstrate
that
irrigation
effectively
mitigates
progression,
while
genotype
selection
critically
determines
under
conditions.
emerges
as
optimal
cultivar
for
systems
water-scarce
regions.
ABSTRACT
The
phenotypic
display,
survival,
and
reproduction
of
organisms
depend
on
genotype–environment
interactions
that
drive
development,
evolution,
diversity.
Biological
systems
exhibit
two
basic
but
paradoxical
features
contribute
to
developmental
robustness:
plasticity
stability.
However,
the
understanding
these
concepts
remains
ambiguous.
morphology
structure
plant
reproductive
organs—flowers
fruits—exhibit
substantial
stability
display
a
certain
level
under
environmental
changes,
thus
representing
promising
for
study
how
jointly
govern
development
evolution.
Beyond
genes
underlying
organ
formation,
may
maintain
induce
plasticity.
Variations
in
relevant
can
repatterning,
thereby
altering
or
light
temperature
fluctuations,
which
often
affects
fitness.
regulation
robustness
vegetative
organs
involves
transcriptional
post‐transcriptional
regulation,
epigenetics,
phase
separation;
however,
mechanisms
flowering
plants
remain
poorly
investigated.
Moreover,
specifically
determine
have
rarely
been
cloned.
This
review
clarifies
attributes
further
proposes
potential
avenues
paradigm
investigate
elucidate
adapt
thrive
diverse
environments,
is
crucial
design
genetically
modified
crops.