bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 11, 2024
Abstract
Understanding
microbial
phenotypes
from
genomic
data
is
crucial
in
areas
of
research
including
co-evolution,
ecology
and
pathology.
This
study
proposes
a
new
approach
to
integrate
literature-derived
information
with
traits,
combining
natural
language
processing
(NLP)
functional
genome
analysis.
We
applied
this
methodology
publicly
available
overcome
current
limitations
provide
novel
insights
into
phenotype
prediction.
fine-tuned
specialized
transformer-based
large
models
analyze
3.3
million
open-access
scientific
articles,
extracting
network
phenotypic
linked
bacterial
strains.
The
maps
relationships
between
strains
traits
such
as
pathogenicity,
metabolic
capacity,
host
biome
preference.
By
functionally
annotating
reference
assemblies
for
the
network,
we
were
able
predict
key
genes
influencing
phenotypes.
Our
findings
align
known
reveal
correlations,
leading
identification
relevant
particular
disease
host-association
interconnectivity
within
provided
further
understanding
community
interactions,
hub
species
by
inferring
trophic
connections—insights
challenging
extract
means
experimental
work.
demonstrates
potential
machine
learning
methods
uncover
cross-species
patterns
gene-phenotype
correlations.
As
number
sequenced
literature
descriptions
grows
exponentially,
become
meaningful
advancing
microbiology
research.
EMBO Reports,
Journal Year:
2023,
Volume and Issue:
24(9)
Published: July 20, 2023
Plants
interact
with
a
diversity
of
microorganisms
that
influence
their
growth
and
resilience,
they
can
therefore
be
considered
as
ecological
entities,
namely
"plant
holobionts,"
rather
than
singular
organisms.
In
plant
holobiont,
the
assembly
above-
belowground
microbiota
is
ruled
by
host,
microbial,
environmental
factors.
Upon
microorganism
perception,
plants
activate
immune
signaling
resulting
in
secretion
factors
modulate
composition.
Additionally,
metabolic
interdependencies
antagonism
between
microbes
are
driving
forces
for
community
assemblies.
We
argue
complex
plant-microbe
intermicrobial
interactions
have
been
selected
during
evolution
may
promote
survival
fitness
associated
holobionts.
As
part
this
process,
evolved
metabolite-mediated
strategies
to
selectively
recruit
beneficial
microbiota.
Some
these
members
show
host-adaptation,
from
which
mutualism
rapidly
arise.
also
co-evolved
antagonistic
activities
restrict
proliferation
high
pathogenic
potential
prevent
disease
development.
Co-evolution
within
holobionts
thus
ultimately
drives
performance.
European Journal of Microbiology and Immunology,
Journal Year:
2024,
Volume and Issue:
14(2), P. 97 - 115
Published: April 22, 2024
Abstract
Infectious
diseases
pose
a
formidable
global
challenge,
compounded
by
the
emergence
of
antimicrobial
resistance.
Consequently,
researchers
are
actively
exploring
novel
compounds
as
potential
solutions.
This
endeavor
underscores
pivotal
role
methods
employed
for
screening
and
evaluating
activity—a
critical
step
in
discovery
characterization
agents.
While
traditional
techniques
such
well-diffusion,
disk-diffusion,
broth-dilution
commonly
utilized
assays,
they
may
encounter
limitations
concerning
reproducibility
speed.
Additionally,
diverse
array
assays
including
cross-streaking,
poisoned-food,
co-culture,
time-kill
kinetics,
resazurin
assay,
bioautography,
etc.,
routinely
evaluations.
Advanced
flow-cytometry,
impedance
analysis,
bioluminescent
technique
offer
rapid
sensitive
results,
providing
deeper
insights
into
impact
antimicrobials
on
cellular
integrity.
However,
their
higher
cost
limited
accessibility
certain
laboratory
settings
present
challenges.
article
provides
comprehensive
overview
designed
to
characterize
activity,
elucidating
underlying
principles,
protocols,
advantages,
limitations.
The
primary
objective
is
enhance
understanding
methodologies
agents
our
relentless
battle
against
infectious
diseases.
By
selecting
appropriate
testing
method,
can
discern
suitable
conditions
streamline
identification
effective
Cell,
Journal Year:
2023,
Volume and Issue:
186(21), P. 4496 - 4513
Published: Oct. 1, 2023
Plant-associated
microbiota
can
extend
plant
immune
system
function,
improve
nutrient
acquisition
and
availability,
alleviate
abiotic
stresses.
Thus,
naturally
beneficial
microbial
therapeutics
are
enticing
tools
to
productivity.
The
basic
definition
of
across
species
ecosystems,
combined
with
the
development
reductionist
experimental
models
manipulation
phenotypes
microbes,
has
fueled
interest
in
its
translation
agriculture.
However,
great
majority
microbes
exhibiting
plant-productivity
traits
lab
greenhouse
fail
field.
Therapeutic
must
reach
détente,
establishment
uneasy
homeostasis,
system,
invade
heterogeneous
pre-established
plant-associated
communities,
persist
a
new
potentially
remodeled
community.
Environmental
conditions
alter
community
structure
thus
impact
engraftment
therapeutic
microbes.
We
survey
recent
breakthroughs,
challenges,
opportunities
translating
from
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.
FEMS Microbiology Ecology,
Journal Year:
2024,
Volume and Issue:
100(3)
Published: Feb. 2, 2024
Abstract
Understanding
the
complex
interactions
between
plants
and
their
associated
microorganisms
is
crucial
for
optimizing
plant
health
productivity.
While
microbiomes
of
soil-bound
cultivated
crops
are
extensively
studied,
hydroponically
have
received
limited
attention.
To
address
this
knowledge
gap,
we
investigated
rhizosphere
root
endosphere
lettuce.
Additionally,
sought
to
explore
potential
impact
oomycete
pathogen
Phytophthora
cryptogea
on
these
microbiomes.
Root
samples
were
collected
from
symptomatic
nonsymptomatic
in
three
different
greenhouses.
Amplicon
sequencing
bacterial
16S
rRNA
gene
revealed
significant
alterations
community
upon
P.
infection,
particularly
rhizosphere.
Permutational
multivariate
analysis
variance
(perMANOVA)
differences
microbial
communities
greenhouses,
plants.
Further
uncovered
differentially
abundant
zero-radius
operational
taxonomic
units
(zOTUs)
Interestingly,
members
Pseudomonas
Flavobacterium
positively
with
Overall,
study
provides
valuable
insights
into
microbiome
highlights
influence
invasion
plant-associated
communities.
research
required
elucidate
role
spp.
controlling
infections
within
lettuce
New Phytologist,
Journal Year:
2024,
Volume and Issue:
244(3), P. 739 - 742
Published: Oct. 2, 2024
This
Editorial
introduces
the
Virtual
Issue
‘Chemical
language
of
plant–microbe–microbe
associations’
that
includes
following
papers:
Basak
et
al
.
(2024),
Böttner
(2023),
Brisson
Feng
Gfeller
Gómez‐Pérez
Hong
(2022,
2023),
Hu
Jiang
Lee
Nakano
Ökmen
Revillini
Rovenich
&
Thomma
Simonin
(2022),
Snelders
Walsh
Wen
Xia
Xie
Zhang
(2023,
2024),
Zheng
Zhou
2024).
Access
at
www.newphytologist.com/virtualissues
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 4, 2024
Abstract
Fungi
typically
occur
in
environments
where
numerous
and
diverse
other
microbes
as
well,
often
resulting
fierce
competition
for
nutrients
habitat.
To
support
fungal
fitness
these
environments,
they
evolved
various
mechanisms
that
mediate
direct
antagonism
towards
niche
competitors.
Among
these,
the
secretion
of
proteins
with
antimicrobial
activities
has
been
reported
fungi
lifestyles.
Recently,
several
plant-associated
were
shown
to
rely
on
effector
antagonize
certain
members
plant
hosts’
microbiota
successfully
colonize
tissues.
Some
effectors
do
not
share
homology
known
antimicrobials
represent
novel
antibiotics.
Accordingly,
occurrence
conservation
proteinaceous
throughout
tree
life
remains
enigmatic.
Here
we
present
a
computational
approach
annotate
candidate
secretomes
based
protein
physicochemical
properties.
After
curating
set
experimentally
verified
display
activity
lack
such
activity,
trained
machine
learning
classifier
properties
sequences
predicted
structures.
This
predictor
performs
particularly
well
(R
2
=0.89)
according
our
validations
is
delivered
software
package
named
AMAPEC,
dedicated
nti
m
icrobial
ctivity
p
rediction
e
ffector
c
andidates.
We
subsequently
used
this
predict
catalogs
three
phylogenetically
distant
distinct
lifestyles,
revealing
relatively
large
each
fungi,
suggesting
broad
kingdom.
Thus,
AMAPEC
unique
method
uncover
are
sparsely
functionally
annotated,
may
assist
biological
interpretations
during
omic
analyses.
It
freely
available
at
https://github.com/fantin-mesny/amapec
.
BMC Biology,
Journal Year:
2024,
Volume and Issue:
22(1)
Published: Aug. 15, 2024
Abstract
When
a
pathogen
invades
plant,
it
encounters
diverse
microbiota
with
some
members
contributing
to
the
health
and
growth
of
plant
host.
So
far,
relevance
interactions
between
pathogens
are
poorly
understood;
however,
new
lines
evidence
suggest
that
play
an
important
role
in
shaping
microbiome
their
host
during
invasion.
This
review
aims
summarize
recent
findings
document
changes
microbial
community
composition
invasion
filamentous
tissues.
We
explore
known
mechanisms
interaction
underlie
these
changes,
particularly
pathogen-encoded
traits
produced
target
specific
microbes.
Moreover,
we
discuss
limitations
current
strategies
shed
light
on
perspectives
study
complex
networks
microbiome.