Inferring Species Interactions From Co‐occurrence Networks With Environmental DNA Metabarcoding Data in a Coastal Marine Food Web
Molecular Ecology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 4, 2025
ABSTRACT
A
good
understanding
of
biotic
interactions
is
necessary
to
accurately
predict
the
vulnerability
ecosystems
climate
change.
Recently,
co‐occurrence
networks
built
from
environmental
DNA
(eDNA)
metabarcoding
data
have
arisen
as
a
tool
explore
interspecific
in
ecological
communities
exposed
different
human
and
pressures.
Such
can
identify
environmentally
driven
relationships
microbial
eukaryotic
communities,
but
whether
inferred
co‐occurrences
robustly
represent
remains
unclear.
Here,
we
tackle
this
challenge
compare
spatio‐temporal
variability
structure
complexity
food
webs,
using
60
eDNA
samples
covering
vertebrates
other
eukaryotes
North
Sea
coastal
ecosystem.
We
topological
characteristics
highly
connected
species
across
spatial
temporal
subsets
evaluate
variance
community
composition
structure.
find
consistent
trends
eDNA‐derived
webs
that
support
some
ability
for
detect
real
processes,
despite
trophic
forming
minority
significant
co‐occurrences.
The
lack
detected
may
result
complexities,
such
generalist
predators
having
flexible
or
behavioural
partitioning,
inability
distinguish
age
class
with
being
by
non‐trophic
abiotic
interactions.
infer
interactions,
further
work
needed
assess
their
power
reliably
differentiate
interaction
types
overcome
methodological
limitations,
detection
uncertainties,
which
could
influence
ecosystem
complexity.
Language: Английский
Reference genome of the leopard seal (Hydrurga leptonyx), a Southern Ocean apex predator
Frontiers in Genetics,
Journal Year:
2025,
Volume and Issue:
16
Published: May 14, 2025
Language: Английский
Metagenomic biodiversity assessment within an offshore wind farm
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: May 14, 2025
Abstract
Environmental
DNA
(eDNA)
analysis
can
be
a
powerful
tool
for
monitoring
biodiversity
and
assessing
human
impacts
on
ecosystems.
In
this
study,
we
employed
genome-wide
metagenomic
eDNA
approach
to
assess
the
marine
within
around
Horns
Rev
1
offshore
wind
farm
in
Danish
North
Sea.
Seawater
samples
were
collected
from
both
windfarm
surrounding
control
sites,
sequenced,
analyzed
using
combination
of
k-mer
matching
alignment-based
classification
methods.
We
identified
wide
range
species
across
tree
life—highlighting
richness
ecosystem.
Our
results
revealed
high
degree
diversity
congruence
between
sites.
While
could
suggest
minimal
ecological
disruption
farm,
cannot
rule
out
that
influence
ocean
currents
water
mixing
different
regions
dominate
detection.
detected
bioindicator
species,
such
as
Thalassiosira,
Phaeocystis
Skeletonema
,
which
provide
insights
into
quality.
also
enabled
us
obtain
population
genomics
European
anchovy
(
Engraulis
encrasicolus
)
diatom
Rhizosolenia
setigera
genetically
confirmed
origin
invasive
Sea
walnut
Mnemiopsis
leidyi
This
study
highlights
potential
metagenomics
framework
detecting
population-level
genetic
signals,
contributing
informed
scalable
ecosystem
strategies.
Language: Английский
Artificial Intelligence-Assisted Environmental DNA Metabarcoding and High-Resolution Underwater Optical Imaging for Noninvasive and Innovative Marine Environmental Monitoring
Journal of Marine Science and Engineering,
Journal Year:
2024,
Volume and Issue:
12(10), P. 1729 - 1729
Published: Oct. 1, 2024
To
effectively
protect
the
marine
environment,
it
is
crucial
to
establish
effective
environ
mental
monitoring
platforms.
Traditional
environmental
methods
heavily
rely
on
morphological
identification
and
field
expertise,
with
sampling
process
being
disruptive
potentially
destructive
vulnerable
environments.
In
light
of
emerging
biomonitoring
needs
biodiversity
declines,
we
reviewed
urgently
needed,
ongoing
advances
in
developing
effective,
noninvasive,
innovative
systems
examine
complex
environment
for
better
strategic
conservation
protection,
using
coral
ecosystem
as
one
representative
forefront
examples
protection.
This
review
summarizes
current
trends
efforts
transitioning
into
more
standardizable
automatable
utilizations
DNA
metabarcoding-based
strategies
high-resolution
underwater
optical
imaging
two
promising
pillars
next
generation
noninvasive
associated
applications.
The
assistance
artificial
intelligence
metabarcoding
an
empowered,
all-rounded
platform
enhanced
capacity
discussed
a
highly
potent
direction
future
research
exploration.
will
be
cornerstone
reference
development
intelligence-assisted,
systems.
Language: Английский