PeerJ,
Journal Year:
2024,
Volume and Issue:
12, P. e18745 - e18745
Published: Dec. 23, 2024
Recovered
microbial
community
structure
is
known
to
be
influenced
by
sample
storage
conditions
and
nucleic
acid
extraction
methods,
the
impact
varies
type.
Peat
soils
store
a
large
portion
of
soil
carbon
their
microbiomes
mediate
climate
feedbacks.
Here,
we
tested
three
five
protocols
on
peat
from
physicochemically
distinct
habitats
in
Stordalen
Mire,
Sweden,
revealing
significant
methodological
impacts
(here,
meaning
bacteria
archaea)
structure.
Initial
preservation
method
impacted
alpha
but
not
beta
diversity,
with
in-field
LifeGuard
buffer
yielding
roughly
two-thirds
richness
flash-freezing
or
transport
field
ice
(all
samples
were
stored
at
−80
°C
after
return
field).
Nucleic
both
diversity;
one
(
PowerSoil
Total
RNA
Isolation
kit
DNA
Elution
Accessory
ki
t)
diverged
others
PowerMax
Soil
kit-High
Humic
Acid
Protocol
,
variations
modified
DNA/RNA
isolation
kit)
capturing
more
diverse
taxa,
divergent
structures.
Although
habitat
depth
still
consistently
dominated
variation,
method-based
biases
microbiome
recovery
for
these
climatologically-relevant
are
significant,
underscore
importance
consistency
accurate
inter-study
comparisons,
long-term
monitoring,
consistent
ecological
interpretations.
Nature Microbiology,
Journal Year:
2024,
Volume and Issue:
9(6), P. 1454 - 1466
Published: May 28, 2024
Abstract
With
rising
global
temperatures,
permafrost
carbon
stores
are
vulnerable
to
microbial
degradation.
The
enzyme
latch
theory
states
that
polyphenols
should
accumulate
in
saturated
peatlands
due
diminished
phenol
oxidase
activity,
inhibiting
resident
microbes
and
promoting
stabilization.
Pairing
microbiome
geochemical
measurements
along
a
thaw-induced
saturation
gradient
Stordalen
Mire,
model
Arctic
peatland,
we
confirmed
negative
relationship
between
expression
but
failed
support
other
trends
predicted
by
the
latch.
To
inventory
alternative
polyphenol
removal
strategies,
built
CAMPER,
gene
annotation
tool
leveraging
knowledge
gleaned
across
ecosystems.
Applying
CAMPER
genome-resolved
metatranscriptomes,
identified
genes
for
diverse
polyphenol-active
enzymes
expressed
various
lineages
under
range
of
redox
conditions.
This
shifts
paradigm
stabilize
soils
highlights
need
consider
both
oxic
anoxic
metabolisms
understand
cycling
changing
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Jan. 22, 2025
Current
estimates
of
wetland
contributions
to
the
global
methane
budget
carry
high
uncertainty,
particularly
in
accurately
predicting
emissions
from
methane-emitting
wetlands.
Microorganisms
drive
cycling,
but
little
is
known
about
their
conservation
across
To
address
this,
we
integrate
16S
rRNA
amplicon
datasets,
metagenomes,
metatranscriptomes,
and
annual
flux
data
9
wetlands,
creating
Multi-Omics
for
Understanding
Climate
Change
(MUCC)
v2.0.0
database.
This
resource
used
link
microbiome
composition
function
emissions,
focusing
on
methane-cycling
microbes
networks
driving
carbon
decomposition.
We
identify
eight
genera
shared
wetlands
show
wetland-specific
metabolic
interactions
marshes,
revealing
low
connections
between
methanogens
methanotrophs
high-emitting
Methanoregula
emerged
as
a
hub
methanogen
strong
predictor
flux.
In
these
it
also
displays
functional
potential
methylotrophic
methanogenesis,
highlighting
importance
this
pathway
ecosystems.
Collectively,
our
findings
illuminate
trends
microbial
decomposition
while
providing
an
extensive
publicly
available
database
advance
future
research.
The
authors
created
multisite
CH4
fluxes
diverse
differences
cross-feeding
dynamics
that
improve
predictions
mSystems,
Journal Year:
2024,
Volume and Issue:
9(7)
Published: June 28, 2024
ABSTRACT
We
use
metagenome-assembled
genomes
(MAGs)
to
understand
single-carbon
(C1)
compound-cycling—particularly
methane-cycling—microorganisms
in
montane
riparian
floodplain
sediments.
generated
1,233
MAGs
(>50%
completeness
and
<10%
contamination)
from
50-
150-cm
depth
below
the
sediment
surface
capturing
transition
between
oxic,
unsaturated
sediments
anoxic,
saturated
Slate
River
(SR)
(Crested
Butte,
CO,
USA).
recovered
of
putative
methanogens,
methanotrophs,
methylotrophs
(
n
=
57).
Methanogens,
found
only
deep,
anoxic
depths
at
SR,
originate
three
different
clades
Methanoregulaceae
,
Methanotrichaceae
Methanomassiliicoccales
),
each
with
a
methanogenesis
pathway;
methanotrophic
within
Archaea
Candidatus
Methanoperedens)
uncultured
bacteria
Ca
.
Binatia)
oxic
depths.
Genomes
for
canonical
aerobic
methanotrophs
were
not
recovered.
Ca.
Methanoperedens
exceptionally
abundant
(~1,400×
coverage,
>50%
abundance
MAG
library)
one
sample
that
also
contained
aceticlastic
indicating
potential
C1/methane-cycling
hotspot.
Methylomirabilis
SR
encode
pathways
methylotrophy
but
do
harbor
methane
monooxygenase
or
nitrogen
reduction
genes.
Comparative
genomic
analysis
supports
clade
genus
is
methanotrophic.
The
genetic
was
widespread,
over
10%
19%
encoding
methanol
dehydrogenase
substrate-specific
methyltransferase,
respectively.
Thermoplasmata
archaea
Gimiplasmatales
(UBA10834)
contain
may
allow
anaerobic
methylotrophic
acetogenesis.
Overall,
reveal
production
consumption
system
robust
methylotrophy.
IMPORTANCE
cycling
carbon
by
microorganisms
subsurface
environments
particular
relevance
face
global
climate
change.
Riparian
high
organic
can
be
degraded
into
C1
compounds
such
as
methane,
methanol,
methylamines,
fate
which
depends
on
microbial
metabolisms
present
well
hydrological
conditions
availability
oxygen.
In
study,
we
1,000
river
are
capable
producing
consuming
other
compounds,
highlighting
both
without
sample,
hotspot
system.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 15, 2024
Current
estimates
of
wetland
contributions
to
the
global
methane
budget
carry
high
uncertainty,
particularly
in
accurately
predicting
emissions
from
methane-emitting
wetlands.
Microorganisms
mediate
cycling,
yet
knowledge
their
conservation
across
wetlands
remains
scarce.
To
address
this,
we
integrated
1,118
16S
rRNA
amplicon
datasets
(116
new),
305
metagenomes
(20
new)
that
yielded
4,745
medium
and
high-quality
metagenome
assembled
genomes
(MAGs;
617
133
metatranscriptomes,
annual
flux
data
9
create
Multi-Omics
for
Understanding
Climate
Change
(MUCC)
v2.0.0
database.
This
new
resource
was
leveraged
link
microbiome
compositional
profiles
encoded
functions
emissions,
with
specific
focus
on
methane-cycling
populations
microbial
carbon
decomposition
networks
fuel
them.
We
identified
eight
genera
were
conserved
wetlands,
deciphered
metabolic
interactions
marshes,
revealing
low
methanogen-methanotroph
connectivity
high-emitting
Methanoregula
emerged
as
a
hub
methanogen
strong
predictor
flux,
demonstrating
potential
broad
relevance
methylotrophic
methanogenesis
these
ecosystems.
Collectively,
our
findings
illuminate
trends
between
provide
an
extensive
publicly
available
database
advance
future
research.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 12, 2024
Abstract
Current
estimates
of
wetland
contributions
to
the
global
methane
budget
carry
high
uncertainty,
particularly
in
accurately
predicting
emissions
from
methane-emitting
wetlands.
Microorganisms
mediate
cycling,
yet
knowledge
their
conservation
across
wetlands
remains
scarce.
To
address
this,
we
integrated
1,118
16S
rRNA
amplicon
datasets
(116
new),
305
metagenomes
(20
new)
that
yielded
4,745
medium
and
high-quality
metagenome
assembled
genomes
(MAGs;
617
133
metatranscriptomes,
annual
flux
data
9
create
Multi-Omics
for
Understanding
Climate
Change
(MUCC)
v2.0.0
database.
This
new
resource
was
leveraged
link
microbiome
compositional
profiles
encoded
functions
emissions,
with
specific
focus
on
methane-cycling
populations
microbial
carbon
decomposition
networks
fuel
them.
We
identified
eight
genera
were
conserved
wetlands,
deciphered
metabolic
interactions
marshes,
revealing
low
methanogen-methanotroph
connectivity
high-emitting
Methanoregula
emerged
as
a
hub
methanogen
strong
predictor
flux,
demonstrating
potential
broad
relevance
methylotrophic
methanogenesis
these
ecosystems.
Collectively,
our
findings
illuminate
trends
between
provide
an
extensive
publicly
available
database
advance
future
research.