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resistancenodulationdivision

Resistancenodulationdivision is a term used in studies of legume–rhizobium symbiosis to describe a putative regulatory framework in which three processes—plant defense–related resistance to nodulation signals, nodulation development, and cellular division within nodules—are tightly integrated to determine the outcome of nodulation. The term combines resistance, nodulation, and division to highlight cross-talk among host immunity, nodule organogenesis, and tissue growth, and is used in theoretical models as well as some experimental contexts to discuss how defense responses can influence nodulation and how nodular tissues expand through division.

Etymology and scope: As a composite concept, resistancenodulationdivision signals that resistance and nodulation are not entirely

Mechanism: In this framework, resistance reflects innate immune responses that can be triggered by Nod factors

Applications and significance: Understanding resistancenodulationdivision could inform breeding strategies for legumes with optimized nodulation, enhance nitrogen

Challenges: Critics note that the term may obscure boundaries between immunity and symbiotic compatibility and that

separable
processes.
Researchers
employ
the
framework
to
explore
how
autoregulation
of
nodulation
and
Nod
factor
signaling
interact
with
immune
pathways,
potentially
altering
the
efficiency
and
timing
of
nodule
formation
across
plant
species
and
environmental
conditions.
or
microbial-associated
signals,
potentially
suppressing
nodulation.
Nodulation
encompasses
signal
perception,
cortical
cell
division,
and
bacteroid
accommodation
that
establish
nitrogen-fixing
nodules.
Division
covers
cell
proliferation
within
nodules
and,
at
the
microbial
level,
rhizobial
population
dynamics
during
infection
and
bacteroid
differentiation.
The
model
emphasizes
feedback
loops,
where
strong
resistance
can
reduce
nodulation,
while
successful
nodulation
can
modulate
defense
signaling
to
permit
nodule
growth.
fixation
efficiency,
and
guide
synthetic
biology
approaches
to
tune
plant–microbe
interactions.
It
remains
a
conceptual
model
with
varying
interpretations
across
species
and
experimental
systems.
measuring
all
three
components
concurrently
is
complex.