bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 2, 2024
Summary
Plants
accommodate
diverse
microbial
communities
(microbiomes),
which
can
change
dynamically
during
plant
adaptation
to
varying
environmental
conditions.
However,
the
direction
of
these
changes
and
underlying
mechanisms
driving
them,
particularly
in
crops
adapting
field
conditions,
remain
poorly
understood.
We
investigate
root-associated
microbiome
rice
(
Oryza
sativa
L.)
using
16S
rRNA
gene
amplicon
metagenome
sequencing,
across
four
consecutive
cultivation
seasons
a
high-yield,
non-fertilized,
pesticide-free
paddy
field,
compared
neighboring
fertilized
pesticide-treated
field.
Our
findings
reveal
that
root
community
shifts
diverges
based
on
soil
fertilization
status
developmental
stages.
Notably,
nitrogen-fixing
bacteria
such
as
Telmatospirillum,
Bradyrhizobium
Rhizomicrobium
were
over-represented
grown
non-fertilized
implying
assembly
microbes
supports
nutrient-deficient
environments.
A
machine
learning
model
trained
data
successfully
predicted
status,
highlighting
potential
analysis
forecasting
nutrition
levels.
Additionally,
we
observed
significant
ccamk
mutants,
lack
master
regulator
mycorrhizal
symbiosis,
under
laboratory
conditions
but
not
suggesting
condition-dependent
role
for
CCaMK
establishing
microbiomes
rice.
The ISME Journal,
Journal Year:
2024,
Volume and Issue:
18(1)
Published: Jan. 1, 2024
Abstract
Natural
ecosystems
harbor
a
huge
reservoir
of
taxonomically
diverse
microbes
that
are
important
for
plant
growth
and
health.
The
vast
diversity
soil
microorganisms
their
complex
interactions
make
it
challenging
to
pinpoint
the
main
players
life
support
functions
can
provide
plants,
including
enhanced
tolerance
(a)biotic
stress
factors.
Designing
simplified
microbial
synthetic
communities
(SynComs)
helps
reduce
this
complexity
unravel
molecular
chemical
basis
interplay
specific
microbiome
functions.
While
SynComs
have
been
successfully
employed
dissect
or
reproduce
microbiome-associated
phenotypes,
assembly
reconstitution
these
often
based
on
generic
abundance
patterns
taxonomic
identities
co-occurrences
but
only
rarely
informed
by
functional
traits.
Here,
we
review
recent
studies
designing
reveal
common
principles
discuss
multidimensional
approaches
community
design.
We
propose
strategy
tailoring
design
integration
high-throughput
experimental
assays
with
strains
computational
genomic
analyses
capabilities.
Synthetic and Systems Biotechnology,
Journal Year:
2024,
Volume and Issue:
9(4), P. 775 - 783
Published: June 20, 2024
Synthetic
microbial
community
has
widely
concerned
in
the
fields
of
agriculture,
food
and
environment
over
past
few
years.
However,
there
is
little
consensus
on
method
to
synthetic
from
construction
functional
verification.
Here,
we
review
concept,
characteristics,
history
applications
community,
summarizing
several
methods
for
construction,
such
as
isolation
culture,
core
microbiome
mining,
automated
design,
gene
editing.
In
addition,
also
systematically
summarized
design
concepts,
technological
thresholds,
applicable
scenarios
various
methods,
highlighted
their
advantages
limitations.
Ultimately,
this
provides
four
efficient,
detailed,
easy-to-understand
-follow
steps
with
major
implications
agricultural
practices,
production,
environmental
governance.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(14), P. e33896 - e33896
Published: July 1, 2024
Humans
have
long
relied
on
microbial
communities
to
create
products,
produce
energy,
and
treat
waste.
The
microbiota
residing
within
our
bodies
directly
impacts
health,
while
the
soil
rhizosphere
microbiomes
influence
productivity
of
crops.
However,
complexity
diversity
make
them
challenging
study
difficult
develop
into
applications,
as
they
often
exhibit
emergence
unpredictable
higher-order
phenomena.
Synthetic
ecology
aims
at
simplifying
by
constituting
synthetic
or
semi-natural
with
reduced
that
become
easier
analyze.
This
strategy
combines
methodologies
simplify
existing
complex
systems
(top-down
approach)
build
system
from
its
constituent
components
(bottom-up
approach).
Simplified
are
studied
understand
how
interactions
among
populations
shape
behavior
community
model
predict
their
response
external
stimuli.
By
harnessing
potential
through
a
multidisciplinary
approach,
we
can
advance
knowledge
ecological
concepts
address
critical
public
agricultural,
environmental
issues
more
effectively.
Journal of General Plant Pathology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 17, 2024
Abstract
Plant
pathogens
cause
plant
diseases
that
significantly
decrease
crop
yields,
posing
a
serious
threat
to
global
food
security.
While
disease
resistance
has
traditionally
been
understood
as
the
trait
determined
by
innate
immune
system
and
pathogen
virulence
system,
recent
research
underscores
pivotal
role
of
microbiome
in
resistance.
Plant-associated
microbiomes
confer
protection
against
through
direct
inhibition,
resource
competition,
activation
responses.
Agricultural
practices
such
rotation,
intercropping,
disease-resistant
breeding,
biocontrol,
organic
farming
modulate
microbiomes,
thereby
influencing
This
review
synthesizes
latest
advancements
understanding
intricate
interactions
among
plants,
pathogens,
microbiomes.
We
emphasize
need
for
in-depth
mechanistic
studies
linking
agricultural
dynamics
propose
future
directions
leverage
sustainable
agriculture.
Environmental Microbiology Reports,
Journal Year:
2024,
Volume and Issue:
16(4)
Published: Aug. 1, 2024
Abstract
Despite
recent
advances
in
understanding
the
role
of
microorganisms
plant
holobiont
metabolism,
physiology,
and
fitness,
several
relevant
questions
are
yet
to
be
answered,
with
implications
for
ecology,
evolution,
sustainable
agriculture.
This
article
explores
some
these
discusses
emerging
research
areas
microbiomes.
Firstly,
it
emphasizes
need
move
beyond
taxonomic
characterization
towards
microbial
functions
within
ecosystems.
Secondly,
controlling
methodological
biases
enhancing
OMICS
technologies'
standardization
is
imperative
a
deeper
comprehension
plant–microbiota
interactions.
Furthermore,
while
microbiota
has
primarily
centred
on
bacteria
fungi,
other
players
such
as
archaea,
viruses,
microeukaryotes
have
been
largely
overlooked.
Emerging
evidence
highlights
their
presence
potential
roles,
underscoring
thorough
assessments.
Future
should
aim
elucidate
ecological
interactions,
impact
performance,
how
context
shapes
community
dynamics.
Finally,
discussion
provided
multiple
layers
abiotic
biotic
factors
influencing
spatiotemporal
dynamics
plant–microbiome
systems
require
in‐depth
attention.
Examples
illustrate
synthetic
communities
computational
methods
machine
learning
artificial
intelligence
provide
alternatives
tackle
challenges
analyse
complex
system.