Antibiotic-induced gut microbiota dysbiosis has a functional impact on purine metabolism
Xin Liu,
No information about this author
Leyong Ke,
No information about this author
Ke Lei
No information about this author
et al.
BMC Microbiology,
Journal Year:
2023,
Volume and Issue:
23(1)
Published: July 13, 2023
Dysbiosis
of
the
gut
microbiota
is
closely
linked
to
hyperuricemia.
However,
effect
microbiome
on
uric
acid
(UA)
metabolism
remains
unclear.
This
study
aimed
explore
mechanisms
through
which
microbiomes
affect
UA
with
hypothesis
that
modifying
intestinal
influences
development
hyperuricemia.We
proposed
combining
an
antibiotic
strategy
protein-protein
interaction
analysis
test
this
hypothesis.
The
data
demonstrated
antibiotics
altered
composition
as
increased,
and
spectrum
was
connected
purine
salvage
pathway.
antibiotic-elevated
concentration
dependent
increase
in
code
for
proteins
involved
metabolism,
paralleled
by
depletion
bacteria-coding
enzymes
required
On
contrary,
abundant
decreased
We
also
found
antibiotic-increased
coincided
a
higher
relative
abundance
bacteria
hyperuricemia
mice.An
combined
prediction
bacterial
function
presents
feasible
method
defining
key
Our
investigations
discovered
core
may
be
related
enriches
related-proteins.
enrich
salvage-proteins
probiotic
decreasing
urate,
are
more
likely
killed
antibiotics.
Therefore,
pathway
potential
target
treatment
both
resistance.
Language: Английский
Covariation Between Microbiome Composition and Host Transcriptome in the Gut of Wild Drosophila melanogaster: A Re‐Analysis
Frances Llanwarne,
No information about this author
A. Dobson
No information about this author
Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 1, 2025
ABSTRACT
Gut
microbiota
are
fundamental
for
healthy
animal
function,
but
the
evidence
that
host
function
can
be
predicted
from
taxonomy
remains
equivocal,
and
natural
populations
remain
understudied
compared
to
laboratory
animals.
Paired
analyses
of
covariation
in
parameters
powerful
approaches
characterise
host–microbiome
relationships
mechanistically,
especially
wild
animals
also
lab
models,
enabling
insight
into
ecological
basis
at
molecular
cellular
levels.
The
fruitfly
Drosophila
melanogaster
is
a
preeminent
model
organism,
amenable
field
investigation
by
‘omic
analyses.
Previous
work
male
D.
guts
analysed
paired
measurements
(A)
bacterial
diversity
abundance,
measured
16S
amplicon
sequencing;
(B)
gut
transcriptome,
no
signature
was
detected.
Here,
we
re‐analyse
those
data
comprehensively.
We
find
orthogonal
axes
microbial
genera,
which
correspond
differential
expression
genes.
differentially
expressed
gene
sets
were
enriched
functions
including
protein
translation,
mitochondrial
respiration,
immunity
reproduction.
Each
set
had
distinct
functional
signature,
suggesting
flies
exhibit
range
variation,
microbiome
variation.
These
findings
lay
foundation
better
connect
ecology
genetics
leading
host‐microbiome
model.
Language: Английский
Bacterial Metabolism and Transport Genes Are Associated with the Preference of Drosophila melanogaster for Dietary Yeast
Tanner B. Call,
No information about this author
Emma K. Davis,
No information about this author
Joseph D. Bean
No information about this author
et al.
Applied and Environmental Microbiology,
Journal Year:
2022,
Volume and Issue:
88(16)
Published: Aug. 1, 2022
Many
animal
traits
are
influenced
by
their
associated
microorganisms
("microbiota").
To
expand
our
understanding
of
the
relationship
between
microbial
genotype
and
host
phenotype,
we
report
an
analysis
influence
microbiota
on
dietary
preference
fruit
fly
Drosophila
melanogaster.
First,
confirmed
through
experiments
flies
reared
bacteria-free
("axenic")
or
in
monoassociation
with
two
different
strains
bacteria
that
significantly
influences
across
a
range
ratios
yeast:dietary
glucose.
Then,
focusing
microbiota-dependent
changes
for
yeast
(DPY),
performed
metagenome-wide
association
(MGWA)
study
to
define
species
specificity
this
trait
predict
bacterial
genes
it.
In
subsequent
mutant
analysis,
disrupting
subset
MGWA-predicted
DPY,
including
involved
thiamine
biosynthesis
glucose
transport.
Follow-up
tests
revealed
DPY
did
not
depend
modification
protein
content
diet,
suggesting
mediate
effects
independent
diet
more
specific
than
broad
Together,
these
findings
provide
additional
insight
into
determinants
nutrition
behavior
revealing
genetic
disruptions
D.
melanogaster
DPY.
IMPORTANCE
Associated
("microbiota")
impact
physiology
hosts,
defining
mechanisms
underlying
interactions
is
major
gap
field
host-microbe
interactions.
This
expands
how
can
(DPY)
model
host,
show
preferences
vary
identity
microbes
colonize
flies.
We
then
identify
candidate
contributed
some
influences.
predicted
genes,
transport
biosynthesis,
resulted
efforts
feeding
host.
Language: Английский