Predicting
how
species
diversity
changes
along
environmental
gradients
is
an
enduring
problem
in
ecology.
In
microbes,
current
theories
tend
to
invoke
energy
availability
and
enzyme
kinetics
as
the
main
drivers
of
temperature-richness
relationships.
Here,
we
derive
a
general
empirically-grounded
theory
that
can
explain
this
phenomenon
by
linking
microbial
richness
competitive
communities
variation
temperature-dependence
their
interaction
growth
rates.
Specifically,
shape
community
relationship
depends
on
rapidly
strength
effective
competition
between
pairs
with
temperature
relative
variance
Furthermore,
it
predicts
thermal
specialist-generalist
tradeoff
rates
alters
coexistence
shifting
balance,
causing
peak
at
relatively
higher
temperatures.
Finally,
show
observed
patterns
performance
curves
metabolic
traits
across
extant
bacterial
taxa
indeed
sufficient
generate
variety
community-level
responses
real
world.
Our
results
provide
new
mechanism
help
temperature-diversity
communities,
quantitative
framework
for
interlinking
physiology
diversity.
Frontiers in Marine Science,
Journal Year:
2024,
Volume and Issue:
10
Published: Jan. 29, 2024
Instruction
Microbial
community
respiration
(MCR)
strongly
controls
the
fate
of
organic
carbon
in
ocean.
The
balance
between
MCR
and
primary
production
determines
whether
ocean
is
a
net
sink
or
source
CO2
to
atmosphere.
Thus,
it
necessary
estimate
better
understand
role
oceans
global
cycle.
Methods
based
on
apparent
oxygen
utilization
(AOU)
are
predominant
while
electron
transport
system
(ETS)
assay
gets
increasing
attention.
Although
methods
get
developed,
few
studies
have
been
performed
seasonal
Because
associated
with
temperature
which
changes
along
succession
seasons,
urgent
study
we
measured
using
vivo
tetrazolium
salt
2-(p-iodophenyl)-3-(p-nitrophenyl)-5-phenyltetrazolium
chloride
(INT)
reduction
rates
oxygen-optode
simultaneously
AOU
ETS
from
November
2020
2021
Aoshan
Bay,
China.
Results
highest
appeared
autumn,
followed
by
summer,
spring,
winter,
whereas
activity
autumn
winter.
trend
estimated
were
not
consistent,
further
analysis
indicated
that
consumption
induced
nitrification
caused
overestimation
evaluated
AOU.
Discussion
groups
correlated
had
ability
degrade
various
substrates
could
energy
directly
light.
It
should
be
careful
notice
deviation
assumed
demand
alternation
day
night.
Furthermore,
pattern
bacterial
year-round
was
distinct
season-specific
MCR.
This
raised
warning
for
caution
when
estimating
fully
take
photoheterotrophy
into
account
assuming
remineralization
ETS.
Evolution Letters,
Journal Year:
2024,
Volume and Issue:
8(4), P. 505 - 513
Published: March 16, 2024
Microbes
are
key
drivers
of
global
biogeochemical
cycles,
and
their
functional
roles
arey
dependent
on
temperature.
Large
population
sizes
rapid
turnover
rates
mean
that
the
predominant
response
microbes
to
environmental
warming
is
likely
be
evolutionary,
yet
our
understanding
evolutionary
responses
temperature
change
in
microbial
systems
rudimentary.
Natural
communities
diverse
assemblages
interacting
taxa.
However,
most
studies
investigating
bacteria
focused
monocultures.
Here,
we
utilize
high-throughput
experimental
evolution
both
monoculture
community
contexts
along
a
thermal
gradient
determine
how
interspecific
interactions
influence
adaptation
members.
We
found
community-evolved
isolates
tended
toward
higher
maximum
growth
across
compared
monoculture-evolved
counterparts.
also
saw
little
evidence
systematic
shapes
bacterial
tolerance
curves
gradient.
effect
background
selection
was
variable
highly
taxon-specific,with
some
taxa
exhibiting
pronounced
changes
while
others
were
less
impacted.
acted
as
strong
filter,
resulting
local
extinction
gradient,
implying
temperature-driven
ecological
factor
shaping
upon
which
can
operate.
These
findings
offer
novel
insight
into
impacts
adaptation.
The American Naturalist,
Journal Year:
2024,
Volume and Issue:
205(3), P. 285 - 305
Published: Sept. 19, 2024
AbstractThe
metabolic
theory
of
ecology
(MTE)
aims
to
link
biophysical
constraints
on
individual
rates
the
emergence
patterns
at
population
and
ecosystem
scales.
Because
MTE
links
temperature's
kinetic
effects
metabolism
ecological
processes
higher
levels
organization,
it
holds
great
potential
mechanistically
predict
how
complex
systems
respond
warming
increased
temperature
fluctuations
under
climate
change.
To
scale
up
from
individuals
ecosystems,
applications
classical
implicitly
assume
that
focusing
steady-state
dynamics
averaging
responses
across
populations
adequately
capture
dominant
attributes
biological
systems.
However,
in
context
change,
frequent
perturbations
steady
state
rapid
changes
thermal
performance
curves
via
plasticity
evolution
are
almost
guaranteed.
Here,
we
explain
some
assumptions
made
when
applying
MTE's
simplest
canonical
expression
can
lead
blind
spots
understanding
change
affects
this
presents
an
opportunity
for
formal
expansion
theory.
We
review
existing
advances
direction
provide
a
decision
tree
identifying
dynamic
modifications
needed
certain
research
questions.
conclude
with
empirical
theoretical
challenges
be
addressed
more
increasingly
uncertain
world.
Predicting
how
species
diversity
changes
along
environmental
gradients
is
an
enduring
problem
in
ecology.
In
microbes,
current
theories
tend
to
invoke
energy
availability
and
enzyme
kinetics
as
the
main
drivers
of
temperature-richness
relationships.
Here,
we
derive
a
general
empirically-grounded
theory
that
can
explain
this
phenomenon
by
linking
microbial
richness
competitive
communities
variation
temperature-dependence
their
interaction
growth
rates.
Specifically,
shape
community
relationship
depends
on
rapidly
strength
effective
competition
between
pairs
with
temperature
relative
variance
Furthermore,
it
predicts
thermal
specialist-generalist
tradeoff
rates
alters
coexistence
shifting
balance,
causing
peak
at
relatively
higher
temperatures.
Finally,
show
observed
patterns
performance
curves
metabolic
traits
across
extant
bacterial
taxa
indeed
sufficient
generate
variety
community-level
responses
real
world.
Our
results
provide
new
mechanism
help
temperature-diversity
communities,
quantitative
framework
for
interlinking
physiology
diversity.