Nature Microbiology,
Journal Year:
2023,
Volume and Issue:
8(10), P. 1846 - 1862
Published: Aug. 31, 2023
Abstract
Bacterial
populations
are
highly
adaptive.
They
can
respond
to
stress
and
survive
in
shifting
environments.
How
the
behaviours
of
individual
bacteria
vary
during
stress,
however,
is
poorly
understood.
To
identify
characterize
rare
bacterial
subpopulations,
technologies
for
single-cell
transcriptional
profiling
have
been
developed.
Existing
approaches
show
some
degree
limitation,
example,
terms
number
cells
or
transcripts
that
be
profiled.
Due
part
these
limitations,
few
conditions
studied
with
tools.
Here
we
develop
massively-parallel,
multiplexed,
microbial
sequencing
(M3-seq)—a
RNA-sequencing
platform
pairs
combinatorial
cell
indexing
post
hoc
rRNA
depletion.
We
M3-seq
profile
from
different
species
under
a
range
single
experiments.
then
apply
hundreds
thousands
cells,
revealing
insights
into
bet-hedging
associated
responses
characterizing
phage
infection.
Science,
Journal Year:
2021,
Volume and Issue:
371(6536)
Published: March 25, 2021
Microbial
roles
in
cancer
formation,
diagnosis,
prognosis,
and
treatment
have
been
disputed
for
centuries.
Recent
studies
provocatively
claimed
that
bacteria,
viruses,
and/or
fungi
are
pervasive
among
cancers,
key
actors
immunotherapy,
engineerable
to
treat
metastases.
Despite
these
findings,
the
number
of
microbes
known
directly
cause
carcinogenesis
remains
small.
Critically
evaluating
building
frameworks
such
evidence
light
modern
biology
is
an
important
task.
In
this
Review,
we
delineate
between
causal
complicit
trace
common
themes
their
influence
through
host's
immune
system,
herein
defined
as
immuno-oncology-microbiome
axis.
We
further
review
intratumoral
approaches
manipulate
gut
or
tumor
microbiome
while
projecting
next
phase
experimental
discovery.
Science,
Journal Year:
2021,
Volume and Issue:
373(6556)
Published: Aug. 12, 2021
Capturing
the
heterogeneous
phenotypes
of
microbial
populations
at
relevant
spatiotemporal
scales
is
highly
challenging.
Here,
we
present
par-seqFISH
(parallel
sequential
fluorescence
in
situ
hybridization),
a
transcriptome-imaging
approach
that
records
gene
expression
and
spatial
context
within
microscale
assemblies
single-cell
molecule
resolution.
We
applied
this
to
opportunistic
pathogen
Pseudomonas
aeruginosa,
analyzing
about
600,000
individuals
across
dozens
conditions
planktonic
biofilm
cultures.
identified
numerous
metabolic-
virulence-related
transcriptional
states
emerged
dynamically
during
growth,
as
well
spatially
resolved
metabolic
heterogeneity
sessile
populations.
Our
data
reveal
distinct
physiological
can
coexist
same
just
several
micrometers
away,
underscoring
importance
microenvironment.
results
illustrate
complex
dynamics
new
way
studying
them
high
Advanced Science,
Journal Year:
2022,
Volume and Issue:
9(21)
Published: May 23, 2022
Microbes
with
complex
functions
have
been
found
to
be
a
potential
component
in
tumor
microenvironments.
Due
their
low
biomass
and
other
obstacles,
intratumor
microbiota
is
poorly
understood.
Mucosal
sites
normal
adjacent
tissues
are
important
sources
of
microbiota,
while
hematogenous
spread
also
leads
the
invasion
microbes.
Intratumor
affects
progression
tumors
through
several
mechanisms,
such
as
DNA
damage,
activation
oncogenic
pathways,
induction
immunosuppression,
metabolization
drugs.
Notably,
different
types
tumors,
composition
abundance
highly
heterogeneous
may
play
roles
tumors.
Because
concern
this
field,
techniques
omics
immunological
methods
used
study
microbiota.
Here,
recent
progress
field
reviewed,
including
related
heterogeneity.
Techniques
that
can
discussed.
Moreover,
research
summarized
into
development
strategies
antitumor
treatment
prospects
for
possible
future
field.
Microbiological Research,
Journal Year:
2023,
Volume and Issue:
271, P. 127368 - 127368
Published: March 22, 2023
Abiotic
stress
poses
a
severe
danger
to
agriculture
since
it
negatively
impacts
cellular
homeostasis
and
eventually
stunts
plant
growth
development.
stressors
like
drought
excessive
heat
are
expected
occur
more
frequently
in
the
future
due
climate
change,
which
would
reduce
yields
of
important
crops
maize,
wheat,
rice
may
jeopardize
food
security
human
populations.
The
microbiomes
varied
taxonomically
organized
microbial
community
that
is
connected
plants.
By
supplying
nutrients
water
plants,
regulating
their
physiology
metabolism,
microbiota
helps
plants
develop
tolerate
abiotic
stresses,
can
boost
crop
yield
under
stresses.
In
this
present
study,
with
emphasis
on
temperature,
salt,
stress,
we
describe
current
findings
how
stresses
impact
microbiomes,
microbe-microbe
interactions,
plant-microbe
interactions
as
way
microorganisms
affect
metabolism
plant.
We
also
explore
crucial
measures
must
be
taken
applying
practices
faced
Nature Biotechnology,
Journal Year:
2023,
Volume and Issue:
42(9), P. 1384 - 1393
Published: Nov. 20, 2023
The
interactions
of
microorganisms
among
themselves
and
with
their
multicellular
host
take
place
at
the
microscale,
forming
complex
networks
spatial
patterns.
Existing
technology
does
not
allow
simultaneous
investigation
between
a
multitude
its
colonizing
microorganisms,
which
limits
our
understanding
host-microorganism
within
plant
or
animal
tissue.
Here
we
present
metatranscriptomics
(SmT),
sequencing-based
approach
that
leverages
16S/18S/ITS/poly-d(T)
multimodal
arrays
for
transcriptome-
microbiome-wide
characterization
tissues
55-µm
resolution.
We
showcase
SmT
in
outdoor-grown
Arabidopsis
thaliana
leaves
as
model
system,
find
tissue-scale
bacterial
fungal
hotspots.
By
network
analysis,
study
inter-
intrakingdom
well
response
to
microbial
provides
an
answering
fundamental
questions
on
host-microbiome
interplay.
Nature Biotechnology,
Journal Year:
2023,
Volume and Issue:
42(9), P. 1394 - 1403
Published: Nov. 20, 2023
Mucosal
and
barrier
tissues,
such
as
the
gut,
lung
or
skin,
are
composed
of
a
complex
network
cells
microbes
forming
tight
niche
that
prevents
pathogen
colonization
supports
host-microbiome
symbiosis.
Characterizing
these
networks
at
high
molecular
cellular
resolution
is
crucial
for
understanding
homeostasis
disease.
Here
we
present
spatial
sequencing
(SHM-seq),
an
all-sequencing-based
approach
captures
tissue
histology,
polyadenylated
RNAs
bacterial
16S
sequences
directly
from
by
modifying
spatially
barcoded
glass
surfaces
to
enable
simultaneous
capture
host
transcripts
hypervariable
regions
ribosomal
RNA.
We
applied
our
mouse
gut
model
system,
used
deep
learning
data
mapping
detected
niches
defined
composition
microbial
geography.
show
subpopulations
express
specific
gene
programs
in
different
microenvironments
characteristic
regional
commensal
bacteria
impact
host-bacteria
interactions.
SHM-seq
should
enhance
study
native
host-microbe
interactions
health