INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY,
Год журнала:
2024,
Номер
74(10)
Опубликована: Окт. 21, 2024
Acetic
acid
bacteria
–
belonging
to
the
Acetobacteraceae
family
are
found
in
gut
of
many
sugar-feeding
insects.
In
this
study,
six
strains
have
been
isolated
from
hemipteran
leafhopper
Euscelidius
variegatus
.
While
they
exhibit
high
16S
rRNA
gene
sequence
similarities
uncultured
members
family,
could
not
be
unequivocally
assigned
any
particular
type
species.
Considering
clonality
isolates,
EV16P
T
strain
was
used
as
a
representative
group
isolates.
The
genome
is
composed
2.388
Mbp
chromosome,
with
DNA
G+C
content
57
mol%.
Phylogenetic
analyses
based
on
and
whole-genome
multilocus
analysis
indicate
that
forms
monophyletic
clade
uncultivated
endosymbiont
Diaphorina
citri
,
Candidatus
Kirkpatrickella
diaphorinae.
Such
phylogenetic
positioned
between
those
Asaia-Swaminathania
Kozakia
genomic
distance
metrics
protein
sequences
support
proposal
new
species
yet-undescribed
genus.
It
rod-shaped
Gram-stain-negative
bacterium,
strictly
aerobic,
non-motile,
non-spore-forming,
showing
optimal
growth
without
salt
(NaCl)
at
30
°C
pH
6–7.
major
quinone
Q10,
dominant
cellular
fatty
acids
(>10%)
C
18:l
ω
7c,
19
:
0
cyclo
6c,
16
1
2OH.
polar
lipid
profile
comprises
diphosphatidylglycerol,
phosphatidylethanolamine
phosphatidylcholine,
along
unidentified
aminophospholipids,
glycophospholipids,
aminolipids
lipids.
Based
polyphasic
approach,
including
phylogenetic,
phylogenomic,
relatedness,
phenotypic
chemotaxonomic
characterisations,
(=
KCTC
8296
=
DSM
117028
)
proposed
novel
genus
name
Sorlinia
euscelidii
gen.
nov.,
sp.
honour
Prof.
Claudia
Sorlini,
an
Italian
environmental
microbiologist
University
Milan
who
inspired
research
microbial
diversity,
symbiosis
plants
animals.
Nature Microbiology,
Год журнала:
2024,
Номер
9(2), С. 421 - 433
Опубликована: Фев. 5, 2024
Abstract
Soil
microbiomes
are
highly
diverse,
and
to
improve
their
representation
in
biogeochemical
models,
microbial
genome
data
can
be
leveraged
infer
key
functional
traits.
By
integrating
genome-inferred
traits
into
a
theory-based
hierarchical
framework,
emergent
behaviour
arising
from
interactions
of
individual
predicted.
Here
we
combine
theory-driven
predictions
substrate
uptake
kinetics
with
genome-informed
trait-based
dynamic
energy
budget
model
predict
life-history
trade-offs
soil
bacteria.
When
applied
plant
microbiome
system,
the
accurately
predicted
distinct
substrate-acquisition
strategies
that
aligned
observations,
uncovering
resource-dependent
between
growth
rate
efficiency.
For
instance,
inherently
slower-growing
microorganisms,
favoured
by
organic
acid
exudation
at
later
stages,
exhibited
enhanced
carbon
use
efficiency
(yield)
without
sacrificing
(power).
This
insight
has
implications
for
retaining
root-derived
soils
highlights
power
data-driven,
approaches
improving
models.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Сен. 13, 2024
Microbial
carbon
use
efficiency
(CUE)
affects
the
fate
and
storage
of
in
terrestrial
ecosystems,
but
its
global
importance
remains
uncertain.
Accurately
modeling
predicting
CUE
on
a
scale
is
challenging
due
to
inconsistencies
measurement
techniques
complex
interactions
climatic,
edaphic,
biological
factors
across
scales.
The
link
between
microbial
soil
organic
relies
stabilization
necromass
within
aggregates
or
association
with
minerals,
necessitating
an
integration
processes
approaches.
In
this
perspective,
we
propose
comprehensive
framework
that
integrates
diverse
data
sources,
ranging
from
genomic
information
traditional
assessments,
refine
cycle
models
by
incorporating
variations
CUE,
thereby
enhancing
our
understanding
contribution
cycling.
The
widespread
selective
pressure
of
antibiotics
in
the
environment
has
led
to
propagation
antibiotic
resistance
genes
(ARGs).
However,
mechanisms
by
which
microbes
balance
population
growth
with
enrichment
ARGs
remain
poorly
understood.
To
address
this,
we
employed
microcosm
cultivation
at
different
(i.e.,
Oxytetracycline,
OTC)
stresses
across
concentrations
from
environmental
clinical.
Paired
shot-gun
metagenomics
analysis
and
quantification
bacterial
growth,
trait-based
assessment
soil
microbiota
was
applied
reveal
association
between
key
ARG
subtypes,
representative
taxa,
functional-gene
features
that
drive
ARGs.
Our
results
illuminate
resistome
variation
is
closely
associated
growth.
A
non-monotonic
change
abundance
richness
observed
over
a
concentration
gradient
none
10
mg/l.
Soil
exposed
intermediate
OTC
0.1
0.5
mg/l)
showed
greater
increases
total
Community
compositionally,
i.e.,
Pseudomonadaceae
considered
boost
increase
It
chromosomally
carried
kinds
multidrug
such
as
mexAB-oprM
mexCD-oprJ
could
mediate
intrinsic
OTC.
Streptomycetaceae
shown
better
adaptive
ability
than
other
clinical
concentrations.
it
contributed
less
represents
stress-tolerant
lifestyle
grows
slowly
carries
fewer
In
terms
community
genetic
features,
aggregated
traits
further
indicates
enhancement
resource
acquisition
yield
driving
abundance.
Moreover,
optimizations
energy
production
conversion,
alongside
streamlining
bypass
metabolic
pathways,
sub-inhibitory
conditions.
this
study
suggest
competitive
lifestyles
are
selected
under
stress
nutrient
scarcity.
They
possess
substrate
utilization
capacity
carry
more
ARGs,
due
they
were
faster
growing
leading
This
expanded
application
assessments
understanding
ecology
propagation.
And
finding
illustrated
changes
accompanied
switching
microbiome,
theoretically
supports
control
approach
based
on
principle
species
exclusion.
Global Change Biology,
Год журнала:
2024,
Номер
30(4)
Опубликована: Апрель 1, 2024
Abstract
Although
substantial
advances
in
predicting
the
ecological
impacts
of
global
change
have
been
made,
predictions
evolutionary
lagged
behind.
In
soil
ecosystems,
microbes
act
as
primary
energetic
drivers
carbon
cycling;
however,
are
also
capable
evolving
on
timescales
comparable
to
rates
change.
Given
importance
ecosystems
cycling,
we
assess
potential
impact
microbial
evolution
carbon‐climate
feedbacks
this
system.
We
begin
by
reviewing
current
state
knowledge
concerning
response
and
its
specific
effect
dynamics.
Through
integration,
synthesize
a
roadmap
detailing
how
integrate
into
ecosystem
biogeochemical
models.
Specifically,
highlight
microscale
mechanistic
models,
including
choosing
an
appropriate
model
(e.g.,
adaptive
dynamics,
quantitative
genetics),
validating
with
‘omics’
experimental
data,
scaling
adaptations
level
processes,
ecosystem‐scale
measurements.
The
proposed
steps
will
require
significant
investment
scientific
resources
might
10–20
years
be
fully
implemented.
However,
through
application
multi‐scale
integrated
approaches,
advance
integration
predictive
understanding
providing
clarity
role
within
broader
context
environmental
Journal of Ecology,
Год журнала:
2023,
Номер
111(9), С. 1832 - 1843
Опубликована: Май 17, 2023
Abstract
I
asked
whether
Grime's
triangle
of
competitive,
stress
tolerance
and
ruderal
ecological
strategies—which
was
originally
developed
for
plants—applies
to
microbes.
conducted
a
synthesis
empirical
studies
that
tested
relationships
among
microbial
traits
presumed
define
the
ruderal,
other
strategies.
There
broad
support
triangle.
However,
strategies
were
inconsistently
linked
shifts
in
communities
under
environmental
changes
like
nitrogen
phosphorus
addition,
warming,
drought,
etc.
We
may
be
missing
important
more
closely
influence
community
composition
shifting
conditions.
need
start
by
documenting
response
conditions
at
fine
spatiotemporal
scales
relevant
can
then
develop
empirically
based
strategies,
rather
than
modifying
those
on
plant
ecology.
Synthesis
.
Microbes
appear
sort
into
similar
as
plants.
these
do
not
consistently
predict
how
will
shift
change.
By
starting
‘from
ground
up’,
we
able
delineate