Coral
reefs
are
experiencing
unprecedented
loss
in
coral
cover
due
to
increased
incidence
of
disease
and
bleaching
events.
Thus,
understanding
mechanisms
susceptibility
resilience,
which
vary
by
species,
is
important.
In
this
regard,
untargeted
metabolomics
serves
as
an
important
hypothesis-building
tool
enabling
the
delineation
molecular
factors
underlying
or
resilience.
study,
we
characterize
metabolomes
four
species
visually
healthy
stony
corals,
including
Coral
reefs
are
hotspots
of
marine
biodiversity,
which
results
in
the
synthesis
a
wide
variety
compounds
with
unique
molecular
scaffolds,
and
bioactivities,
rendering
an
ecosystem
interest.
The
chemodiversity
stems
from
intricate
relationships
between
inhabitants
reef,
as
chemistry
produced
partakes
intra-
interspecies
communication,
settlement,
nutrient
acquisition,
defense.
However,
coral
declining
at
unprecedented
rate
due
to
climate
change,
pollution,
increased
incidence
pathogenic
diseases.
Among
pathogens,
Vibrio
spp.
bacteria
key
players
resulting
high
mortality.
Thus,
alternative
strategies
such
application
beneficial
isolated
disease-resilient
species
being
explored
lower
burden
species.
Here,
we
apply
coculturing
coral-derived
leverage
recent
advancements
untargeted
metabolomics
discover
engineerable
traits.
By
chasing
chemical
change
coculture,
report
Microbulbifer
spp.-mediated
degradation
amphibactins,
by
sequester
iron.
Additional
biochemical
experiments
revealed
that
occurs
peptide
backbone
requires
enzyme
fraction
Microbulbifer.
A
reduction
iron
affinity
is
expected
loss
one
Fe(III)
binding
moiety.
Therefore,
hypothesize
this
shapes
community
behaviors
it
pertains
limiting
environment,
survival.
Furthermore,
sp.
suppressed
natural
product
bacteria.
Understanding
mechanisms
behind
these
interactions
will
enable
engineering
probiotic
capable
lowering
burdens
during
heat
waves
disease.
Frontiers in Marine Science,
Год журнала:
2025,
Номер
12
Опубликована: Июнь 5, 2025
Stony
coral
tissue
loss
disease
(SCTLD)
has
spread
throughout
Florida’s
Coral
Reef,
causing
extensive
mortality
of
over
30
species
reef-building
corals,
and
rapidly
to
many
other
countries
territories
the
Caribbean.
Current
treatments
for
SCTLD,
including
a
proprietary
paste
mixed
with
antibiotic
amoxicillin,
do
not
provide
protection
from
future
infections
may
select
antibiotic-resistant
pathogenic
bacteria.
In
contrast,
beneficial
microorganisms
(i.e.,
probiotics),
directly
treat
or
act
as
prophylactics
corals
exposed
SCTLD.
This
study
investigated
use
bacterium
Pseudoalteromonas
sp.
McH1-7,
previously
isolated
SCTLD-resistant
fragment
Montastraea
cavernosa
,
potential
probiotic
treatment
SCTLD-infected
M.
colonies
in
wild.
We
developed
tested
two
deployment
methods:
(1)
injection
seawater
suspension
into
weighted
bag
placed
whole
colony;
(2)
sodium
alginate-based
that
was
applied
each
lesion.
After
treatment,
progression
colony
routinely
monitored
using
three-dimensional
photogrammetry
2.5
years.
Slurries
mucus
samples
were
taken
healthy
diseased
before
weeks
after
three
months
identify
possible
shifts
bacterial
archaeal
communities.
McH1–7
successfully
slowed
SCTLD
lesion
years
following
when
delivered
whole-colony
technique.
Our
assessment
microbiome
showed
effective
without
dominating
communities
among
infected
corals.
treated
lost
more
than
control
paste,
indicating
lesion-specific
is
at
stopping
Probiotic
inoculations
via
technique
path
toward
slowing
due
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 3, 2024
Stony
coral
tissue
loss
disease
(SCTLD)
has
devastated
reefs
off
the
coast
of
Florida
and
continues
to
spread
throughout
Caribbean.
Although
a
number
bacterial
taxa
have
consistently
been
associated
with
SCTLD,
no
pathogen
definitively
implicated
in
etiology
SCTLD.
Previous
studies
predominantly
focused
on
prokaryotic
community
through
16S
rRNA
sequencing
healthy
affected
tissues.
Here,
we
provide
different
analytical
approach
by
applying
bioinformatics
pipeline
publicly
available
metagenomic
samples
SCTLD
lesions
tissues
from
four
stony
species.
To
compensate
for
lack
reference
genomes,
used
data
apparently
approximate
host
genome
microbiome
reference.
These
reads
were
then
as
which
matched
removed
diseased
lesion
samples,
remaining
only
taxonomically
classified
at
DNA
protein
levels.
For
classifications,
identification
protocol
originally
designed
identify
pathogens
human
fast
sequence
aligner.
assess
utility
our
pipeline,
species-level
analysis
candidate
genus,
Proceedings of the Royal Society B Biological Sciences,
Год журнала:
2024,
Номер
291(2032)
Опубликована: Окт. 1, 2024
Mutualistic
relationships
with
photosynthetic
organisms
are
common
in
cnidarians,
which
form
an
intracellular
symbiosis
dinoflagellates
the
family
Symbiodiniaceae.
The
establishment
and
maintenance
of
these
symbionts
associated
suppression
key
host
immune
factors.
Because
this,
there
potential
trade-offs
between
nutrition
that
cnidarian
hosts
gain
from
their
ability
to
successfully
defend
themselves
pathogens.
To
investigate
trade-offs,
we
utilized
facultatively
symbiotic
polyps
upside-down
jellyfish
Cassiopea
xamachana
exposed
aposymbiotic
pathogen
Serratia
marcescens
.
Symbiotic
had
a
lower
probability
survival
following
S.
exposure.
Gene
expression
analyses
24
hours
exposure
indicate
animals
mounted
more
damaging
response,
higher
levels
inflammation
oxidative
stress
likely
resulting
severe
disruptions
cellular
homeostasis.
Underlying
this
response
may
be
differences
constitutive
pathogen-induced
transcription
factors
rather
than
broadscale
during
symbiosis.
Our
findings
polyps,
hosting
limits
C.
xamachana’
s
survive
exposure,
indicating
trade-off
immunity
has
implications
for
coral
disease
research.
G3 Genes Genomes Genetics,
Год журнала:
2024,
Номер
14(8)
Опубликована: Июнь 20, 2024
Abstract
Stony
coral
tissue
loss
disease
(SCTLD)
has
devastated
reefs
off
the
coast
of
Florida
and
continues
to
spread
throughout
Caribbean.
Although
a
number
bacterial
taxa
have
consistently
been
associated
with
SCTLD,
no
pathogen
definitively
implicated
in
etiology
SCTLD.
Previous
studies
predominantly
focused
on
prokaryotic
community
through
16S
rRNA
sequencing
healthy
affected
tissues.
Here,
we
provide
different
analytical
approach
by
applying
bioinformatics
pipeline
publicly
available
metagenomic
samples
SCTLD
lesions
tissues
from
4
stony
species.
To
compensate
for
lack
reference
genomes,
used
data
apparently
approximate
host
genome
microbiome
reference.
These
reads
were
then
as
which
matched
removed
diseased
lesion
samples,
remaining
only
taxonomically
classified
at
DNA
protein
levels.
For
classifications,
identification
protocol
originally
designed
identify
pathogens
human
fast
sequence
aligner.
assess
utility
our
pipeline,
species-level
analysis
candidate
genus,
Vibrio,
was
demonstrate
pipeline's
effectiveness.
Our
revealed
both
complementary
unique
members
compared
prior
metagenome
same
dataset.
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 19, 2024
AbstractBackground:
Anthropogenic
climate
change
has
had
devastating
effects
on
the
Florida
and
Caribbean
reef
systems,
primarily
due
to
increased
disease
outbreaks.
Climate
contributes
rising
frequency
of
marine
diseases
by
expanding
pathogen
ranges
heightening
host
susceptibility
environmental
stress.
Specifically,
there
been
a
stark
rise
in
events
targeting
multiple
coral
species,
resulting
high
mortality
rates
declining
biodiversity.
Although
many
these
present
similar
visual
symptoms,
they
exhibit
varying
require
distinct
treatment
protocols.
Advances
transcriptomics
research
have
enhanced
our
understanding
responses
different
diseases,
but
more
sophisticated
methods
are
required
classify
that
appear
visually
similar.
Results:
This
study
provides
first
machine
learning
algorithm
can
two
common
diseases:
stony
tissue
loss
(SCTLD)
white
plague
(WP).
This
also
identifies
463
biomarkers,
with
275
unique
SCTLD
167
WP.
These
biomarkers
highlight
differences
immune
algorithms
were
tested
validated
samples
collected
in
situ,
supporting
biomarker
efficacy
identified
for
classification.
The
final
model
was
built
partial
least
squares
discriminant
analysis
highly
predictive
an
AUC
0.9895
low
error
rates.
Conclusion:
studyprovides
diagnostic
tool
reliably
distinguishes
between
phenotypically
provide
characterizations
Frontiers in Marine Science,
Год журнала:
2024,
Номер
11
Опубликована: Окт. 10, 2024
Florida’s
coral
reefs
are
facing
a
multi-year
outbreak
of
stony
tissue
loss
disease
(SCTLD)
with
dramatic
consequences
for
communities.
However,
potential
anthropogenic
and
environmental
drivers
SCTLD
progression
severity
remain
poorly
understood.
This
study
was
designed
to
determine
the
impacts
nutrient
amendments
on
spread
in
Southeast
Florida.
In
situ
fertilizer
30
g
Osmocote™
slow-release
were
used
mimic
effects
agricultural
urban
runoff.
Fifteen
healthy
thirty
SCTLD-affected
Montastraea
cavernosa
colonies
tagged
divided
into
three
experimental
groups:
apparently
colonies,
nutrient-amended
control
colonies.
lesion
progression,
loss,
prevalence
tracked
over
30-day
amendment
period
an
additional
40
days
after
removal
if
there
any
latent
or
recovery
effects.
Coral
time
using
Structure-from-Motion
photogrammetry
recorded
from
diver
surveys
within
3-m
radius
surrounding
five
centroid
each
group.
Throughout
experiment,
temperature,
concentrations,
status
also
monitored.
Ultimately,
we
observed
no
significant
differences
between
groups,
suggesting
that
had
effect
during
this
experiment