Rice,
as
a
staple
crop
feeding
billions,
faces
constant
threats
from
various
diseases
jeopardizing
global
food
security.
Precise
understanding
of
disease
resistance
mechanisms
is
crucial
for
developing
resilient
rice
varieties.
Traditional
genetic
mapping
methods,
such
QTL
mapping,
provide
valuable
insights
into
the
basis
diseases.
However,
complex
nature
demands
holistic
approach
to
gain
accurate
knowledge
it.
Omics
technologies,
including
genomics,
transcriptomics,
proteomics,
and
metabolomics,
enable
comprehensive
analysis
biological
molecules,
uncovering
intricate
molecular
interactions
within
plant.
Integration
techniques
using
multi-omics
data
has
revolutionized
our
resistance.
By
overlaying
maps
with
high-throughput
omics
datasets,
researchers
can
pinpoint
specific
genes,
proteins,
or
metabolites
associated
This
integration
enhances
precision
disease-related
biomarkers
better
their
functional
roles
in
Improvement
breeding
through
this
represents
significant
stride
agricultural
science
because
intricacies
underlying
architecture
leads
more
precise
efficient
development
productive
In
review,
we
explore
how
give
transformative
impact
on
enhancing
International Journal of Molecular Sciences,
Journal Year:
2022,
Volume and Issue:
23(18), P. 10570 - 10570
Published: Sept. 12, 2022
Since
we
discovered
OSCA1,
a
hyperosmolarity-gated
calcium-permeable
channel
that
acted
as
an
osmosensor
in
Arabidopsis,
the
OSCA
family
has
been
identified
genome-wide
several
crops,
but
only
few
members’
functions
have
experimentally
demonstrated.
Osmotic
stress
seriously
restricts
yield
and
quality
of
soybean.
Therefore,
it
is
essential
to
decipher
molecular
mechanism
how
soybean
responds
osmotic
stress.
Here,
first
systematically
studied
demonstrated
role
members
sensing
Phylogenetic
relationships,
gene
structures,
protein
domains
structures
analysis
revealed
20
GmOSCA
were
divided
into
four
clades,
which
same
cluster
may
more
similar
functions.
In
addition,
clusters
III
IV
be
functionally
redundant
diverged
from
those
I
II.
Based
on
spatiotemporal
expression
patterns,
GmOSCA1.6,
GmOSCA2.1,
GmOSCA2.6,
GmOSCA4.1
extremely
low
expressed
or
possible
pseudogenes.
The
remaining
16
genes
heterologously
overexpressed
Arabidopsis
osca1
mutant,
explore
their
Subcellular
localization
showed
most
could
localize
plasma
membrane
(PM).
Among
genes,
overexpressing
GmOSCA1.1,
GmOSCA1.2,
GmOSCA1.3,
GmOSCA1.4,
GmOSCA1.5
fully
complement
reduced
hyperosmolality-induced
[Ca2+]i
increase
(OICI)
osca1.
profiles
against
especially
GmOSCA1.5,
GmOSCA3.1,
GmOSCA3.2,
strongly
responded
Moreover,
overexpression
GmOSCA3.2
rescued
drought-hypersensitive
phenotype
Our
findings
provide
important
clues
for
further
studies
GmOSCA-mediated
calcium
signaling
contribute
improving
drought
tolerance
through
genetic
engineering
breeding.
Rice,
as
a
staple
crop
feeding
billions,
faces
constant
threats
from
various
diseases
jeopardizing
global
food
security.
Precise
understanding
of
disease
resistance
mechanisms
is
crucial
for
developing
resilient
rice
varieties.
Traditional
genetic
mapping
methods,
such
QTL
mapping,
provide
valuable
insights
into
the
basis
diseases.
However,
complex
nature
demands
holistic
approach
to
gain
accurate
knowledge
it.
Omics
technologies,
including
genomics,
transcriptomics,
proteomics,
and
metabolomics,
enable
comprehensive
analysis
biological
molecules,
uncovering
intricate
molecular
interactions
within
plant.
Integration
techniques
using
multi-omics
data
has
revolutionized
our
resistance.
By
overlaying
maps
with
high-throughput
omics
datasets,
researchers
can
pinpoint
specific
genes,
proteins,
or
metabolites
associated
This
integration
enhances
precision
disease-related
biomarkers
better
their
functional
roles
in
Improvement
breeding
through
this
represents
significant
stride
agricultural
science
because
intricacies
underlying
architecture
leads
more
precise
efficient
development
productive
In
review,
we
explore
how
give
transformative
impact
on
enhancing
