Molecular Ecology Resources,
Journal Year:
2024,
Volume and Issue:
24(8)
Published: Aug. 16, 2024
More
efficient
methods
for
extensive
biodiversity
monitoring
are
required
to
support
rapid
measures
address
the
crisis.
While
environmental
DNA
(eDNA)
metabarcoding
and
quantitative
PCR
(qPCR)
offer
advantages
over
traditional
approaches,
their
large-scale
application
is
limited
by
time
labour
developing
assays
and/or
analysis.
CRISPR
(clustered
regularly
interspaced
short
palindromic
repeats)
diagnostic
technologies
(Dx)
may
overcome
some
of
these
limitations,
but
they
have
been
used
solely
with
species-specific
primers,
restricting
versatility
monitoring.
Here,
we
demonstrate
feasibility
designing
CRISPR-Dx
in
silico
within
a
fragment
using
general
primer
set,
methodology
term
'ampliscanning',
18
22
amphibian
species
Switzerland.
We
sub-selected
nine
species,
including
three
classified
as
regionally
endangered,
test
eDNA
sampled
from
ponds
at
sites.
compared
ampliscanning
detections
data
Ampliscanning
was
successful
detecting
target
different
prevalences
across
landscape.
With
only
one
visit,
detected
more
per
site
than
visits
(visual
acoustic
trained
experts),
particular
elusive
previously
undocumented
expected
populations.
25
species/site
combinations
12
Sensitivity
analyses
showed
that
larger
numbers
field
replicates
important
reliable
detection
many
technical
assay
level.
Given
reduced
sampling
analysis
effort,
our
results
highlight
benefits
combined
universal
primers
multiple
endangered
landscapes
inform
conservation
measures.
Molecular Ecology,
Journal Year:
2024,
Volume and Issue:
33(11)
Published: April 16, 2024
Abstract
Molecular
tools
are
an
indispensable
part
of
ecology
and
biodiversity
sciences
implemented
across
all
biomes.
About
a
decade
ago,
the
use
implementation
environmental
DNA
(eDNA)
to
detect
signals
extracted
from
samples
opened
new
avenues
research.
Initial
eDNA
research
focused
on
understanding
population
dynamics
target
species.
Its
scope
thereafter
broadened,
uncovering
previously
unrecorded
via
metabarcoding
in
both
well‐studied
understudied
ecosystems
taxonomic
groups.
The
application
rapidly
became
established
research,
field
by
its
own.
Here,
we
revisit
key
expectations
made
land‐mark
special
issue
Ecology
2012
frame
development
six
areas:
(1)
sample
collection,
(2)
primer
development,
(3)
biomonitoring,
(4)
quantification,
(5)
behaviour
environment
(6)
reference
database
development.
We
pinpoint
success
eDNA,
yet
also
discuss
shortfalls
not
met,
highlighting
areas
priority
identify
unexpected
developments.
In
parallel,
our
retrospective
couples
screening
peer‐reviewed
literature
with
survey
users
including
academics,
end‐users
commercial
providers,
which
address
focus
efforts
advance
eDNA.
With
rapid
ever‐increasing
pace
technical
advances,
future
looks
bright,
successful
applications
best
practices
must
become
more
interdisciplinary
reach
full
potential.
Our
retrospect
gives
towards
concretely
moving
forward.
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2024,
Volume and Issue:
379(1904)
Published: May 5, 2024
Insects
are
the
most
diverse
group
of
animals
on
Earth,
yet
our
knowledge
their
diversity,
ecology
and
population
trends
remains
abysmally
poor.
Four
major
technological
approaches
coming
to
fruition
for
use
in
insect
monitoring
ecological
research—molecular
methods,
computer
vision,
autonomous
acoustic
radar-based
remote
sensing—each
which
has
seen
advances
over
past
years.
Together,
they
have
potential
revolutionize
ecology,
make
all-taxa,
fine-grained
feasible
across
globe.
So
far,
within
among
technologies
largely
taken
place
isolation,
parallel
efforts
projects
led
redundancy
a
methodological
sprawl;
yet,
given
commonalities
goals
approaches,
increased
collaboration
integration
could
provide
unprecedented
improvements
taxonomic
spatio-temporal
resolution
coverage.
This
theme
issue
showcases
recent
developments
state-of-the-art
applications
these
technologies,
outlines
way
forward
regarding
data
processing,
cost-effectiveness,
meaningful
trend
analysis,
open
requirements.
papers
set
stage
future
automated
monitoring.
article
is
part
‘Towards
toolkit
global
biodiversity
monitoring’.
Methods in Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
15(5), P. 806 - 815
Published: March 27, 2024
Abstract
Ecological
and
ecosystem
monitoring
is
rapidly
shifting
towards
using
environmental
DNA
(eDNA)
data,
particularly
in
aquatic
systems.
This
approach
enables
a
combined
coverage
of
biodiversity
across
all
major
organismal
groups
the
assessment
ecological
indices.
Yet,
most
current
approaches
are
not
exploiting
full
potential
eDNA
largely
interpreting
results
localized
perspective.
In
riverine
networks,
by
explicitly
modelling
hydrological
transport
associated
decay,
hydrology‐based
models
enable
upscaling
eDNA‐based
diversity
information,
providing
spatially
integrated
inference.
To
capitalize
on
these
unprecedented
data
translate
it
into
space‐filling
projections,
streamlined
implementation
needed.
Here,
we
introduce
eDITH
R‐package,
implementing
model
to
project
networks
with
minimal
prior
information.
couples
species
distribution
relating
local
taxon's
shedding
rate
streamwater
covariates,
mass
balance
expressing
concentration
at
river's
cross‐section
as
weighted
sum
upstream
contributions,
an
observational
accounting
for
uncertainties
measurements.
By
leveraging
replicated
measurements
hydro‐morphological
disentangling
various
sources,
produces
maps
spatial
any
chosen
resolution.
applicable
both
metabarcoding
taxon
whose
can
be
retrieved
streamwater.
The
package
provides
user‐friendly
functions
single‐run
execution
fitting
Bayesian
methods
(via
BayesianTools
package)
non‐linear
optimization.
An
interface
DHARMa
allows
validation
via
posterior
predictive
checks.
Necessary
preliminary
steps
such
watershed
delineation
characterization
implemented
rivnet
package.
We
illustrate
's
workflow
functionalities
two
case
studies
from
published
fish
data.
eDITH,
specifically
intended
ecologists
conservation
biologists.
It
used
without
previous
knowledge
but
also
customization
experienced
users.
Ultimately,
river
globally,
transforming
how
state
change
systems
tracked
high
resolution
highly
versatile
manner.
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2024,
Volume and Issue:
379(1904)
Published: May 5, 2024
Aquatic
macroinvertebrates,
including
many
aquatic
insect
orders,
are
a
diverse
and
ecologically
relevant
organismal
group
yet
they
strongly
affected
by
anthropogenic
activities.
As
of
these
taxa
highly
sensitive
to
environmental
change,
offer
particularly
good
early
warning
system
for
human-induced
thus
leading
their
intense
monitoring.
In
ecosystems
there
is
plethora
biotic
monitoring
or
biomonitoring
approaches,
with
more
than
300
assessment
methods
reported
freshwater
alone.
Ultimately,
macroinvertebrates
used
calculate
ecological
indices
describing
the
state
systems.
Many
not
only
hard
compare,
but
especially
difficult
scale
in
time
space.
Novel
DNA-based
approaches
measure
change
environments
now
unprecedented
opportunities,
also
possible
integration
towards
commonly
applicable
indices.
Here,
we
first
give
perspective
on
organisms,
focus
insects,
how
move
beyond
traditional
point-based
Second,
demonstrate
proof-of-concept
spatially
upscaling
based
DNA,
demonstrating
novel
molecular
hydrological
models
allows
an
accurate
evaluation
at
catchment
scale.
This
article
part
theme
issue
‘Towards
toolkit
global
biodiversity
monitoring’.
Molecular Ecology Resources,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 1, 2025
Environmental
DNA
(eDNA)
metabarcoding
technologies
promise
significant
advances
in
biodiversity
monitoring,
yet
their
application
requires
extensive
optimisation
and
standardisation.
Recent
research
demonstrated
that
increased
sampling
analytical
efforts
are
needed
to
improve
estimates,
though
fully
optimising
study
designs
is
often
hindered
by
resource
constraints.
Consequently,
researchers
must
carefully
navigate
methodological
trade-offs
design
effective
eDNA
monitoring
studies.
We
conducted
a
water
survey
of
vertebrates
Mediterranean
watershed
identify
key
factors
influencing
species
richness
composition
estimates.
examined
the
impacts
using
high-
versus
low-capacity
filtration
capsules,
varying
levels
biological
technical
replication,
pooling
PCR
replicates
before
indexing.
The
primary
sources
variation
identified
were
capsule
capacity
site
replication
across
watershed.
While
within
sites
also
improved
effects
comparatively
smaller.
Pooling
indexing
performed
more
poorly
than
analysing
them
independently.
Methodological
stronger
on
terrestrial
aquatic
species.
Based
these
results,
we
recommend
priority
should
be
given
high-capacity
multiple
sites.
Site-level
deserves
lower
priority,
especially
when
filtering
large
volumes.
crucial
for
detecting
rare
but
balanced
with
eventually
site-level
replication.
Avoiding
important
enhance
sensitivity
Overall,
stress
importance
balancing
choices
constraints
goals,
emphasise
need
assessing
different
systems.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: May 31, 2023
Abstract
The
ever-increasing
threats
to
riverine
ecosystems
call
for
novel
approaches
highly
resolved
biodiversity
assessments
across
taxonomic
groups
and
spatio-temporal
scales.
Recent
advances
in
the
joint
use
of
environmental
DNA
(eDNA)
data
eDNA
transport
models
rivers
(e.g.,
eDITH)
allow
uncovering
full
structure
biodiversity,
hence
elucidating
ecosystem
processes
supporting
conservation
measures.
We
applied
eDITH
a
metabarcoding
dataset
covering
three
(fish,
invertebrates,
bacteria)
seasons
catchment
sampled
at
73
sites.
upscaled
eDNA-based
predictions
approximately
1900
reaches,
assessed
α
-
β
-diversity
patterns
over
whole
network.
Genus
richness
predicted
by
was
generally
higher
than
values
from
direct
analysis.
Both
varied
depending
on
season
group.
Predicted
fish
increased
downstream
all
seasons,
while
invertebrate
bacteria
either
decreased
or
were
unrelated
network
position.
Spatial
mostly
downstream,
especially
bacteria.
model
yielded
more
refined
assessment
freshwater
as
compared
raw
data,
both
terms
spatial
coverage,
diversity
effect
covariates,
thus
providing
complete
picture
biodiversity.
Environmental Science and Ecotechnology,
Journal Year:
2024,
Volume and Issue:
21, P. 100441 - 100441
Published: June 12, 2024
The
monitoring
and
management
of
aquatic
ecosystems
depend
on
precise
estimates
biodiversity.
Metabarcoding
analyses
environmental
nucleic
acids
(eNAs),
including
DNA
(eDNA)
RNA
(eRNA),
have
garnered
attention
for
their
cost-effective
non-invasive
biomonitoring
capabilities.
However,
the
accuracy
biodiversity
obtained
through
eNAs
can
vary
among
different
organismal
groups.
Here
we
evaluate
performance
eDNA
eRNA
metabarcoding
across
nine
groups,
ranging
from
bacteria
to
terrestrial
vertebrates,
in
three
cross-sections
Yangtze
River,
China.
We
observe
robust
complementarity
between
data.
relative
detectability
was
notably
influenced
by
major
taxonomic
groups
sizes,
with
providing
more
signals
larger
organisms.
Both
exhibited
similar
cross-sectional
longitudinal
patterns.
organisms
declined
metabarcoding,
possibly
due
differential
release
decay
or
sizes.
While
underscoring
potential
large
river
biomonitoring,
emphasize
need
interpretation
versus
This
highlights
importance
careful
method
selection
studies.
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(2), P. e0289437 - e0289437
Published: Feb. 14, 2024
Monitoring
is
essential
to
ensure
that
environmental
goals
are
being
achieved,
including
those
of
sustainable
agriculture.
Growing
interest
in
monitoring
provides
an
opportunity
improve
practices.
Approaches
directly
monitor
land
cover
change
and
biodiversity
annually
by
coupling
the
wall-to-wall
coverage
from
remote
sensing
site-specific
community
composition
DNA
(eDNA)
can
provide
timely,
relevant
results
for
parties
interested
success
agricultural
To
measured
impacts
due
projects
not
exogenous
factors,
sites
where
have
been
implemented
should
be
benchmarked
against
counterfactuals
(no
project)
control
(natural
habitat)
sites.
Results
then
used
calculate
diverse
sets
indicators
customized
different
projects.
Here,
we
report
on
our
experience
developing
applying
one
such
approach
assess
impact
shaded
cocoa
Instituto
de
Manejo
e
Certificação
Florestal
Agrícola
(IMAFLORA)
near
São
Félix
do
Xingu,
Pará,
Brazil.
We
Continuous
Degradation
Detection
(CODED)
LandTrendr
algorithms
create
a
sensing-based
assessment
forest
disturbance
regeneration,
estimate
carbon
sequestration,
changes
habitats.
coupled
these
methods
with
eDNA
analyses
using
arthropod-targeted
primers
collecting
soil
samples
intervention
counterfactual
pasture
field
secondary
forest.
custom
set
pilot
application
framework
called
TerraBio.
Our
suggest
that,
IMAFLORA’s
projects,
over
400
acres
were
restored
area
arthropods
closer
second-growth
forests
than
pastures.
In
reviewing
approach,
found
multiple
aspects
worked
well,
conclude
presenting
lessons
learned.
Ecography,
Journal Year:
2024,
Volume and Issue:
2024(8)
Published: May 30, 2024
The
rapid
loss
of
biodiversity
in
freshwater
systems
asks
for
a
robust
and
spatially
explicit
understanding
species'
occurrences.
As
two
complementing
approaches,
habitat
suitability
models
provide
information
about
potential
occurrence,
while
environmental
DNA
(eDNA)
based
assessments
indication
actual
occurrence.
Individually,
both
approaches
are
used
ecological
studies
to
characterize
biodiversity,
yet
they
rarely
combined.
Here,
we
integrated
high‐resolution
with
eDNA‐based
aquatic
invertebrates
riverine
networks
understand
their
individual
combined
capacity
inform
on
We
eDNA
sampling
data
from
172
river
sites
the
detection
taxa
three
insect
orders
(Ephemeroptera,
Plecoptera,
Trichoptera;
hereafter
EPT)
suitable
predictions
at
subcatchment
level
(2
km
2
).
Overall,
find
congruence
detections.
Yet,
predicted
habitats
beyond
number
detections
by
sampling,
congruent
niche
being
larger
than
realized
niche.
For
local
mismatches,
where
detected
species
but
was
not
suitable,
calculated
minimal
distance
upstream
patches,
indicating
possible
sources
signals
subsequently
transported
along
water
flow.
estimated
median
1.06
(range
0.2–42
km)
transport
suitability,
this
significantly
smaller
expected
null
model
predictions.
This
is
range
previously
reported
values
allows
extrapolations
distances
across
many
systems.
Together,
combination
scale
integrative
inferences
ultimately
needed
management
protection
biodiversity.
Environmental DNA,
Journal Year:
2024,
Volume and Issue:
6(3)
Published: May 1, 2024
Abstract
The
collection
of
environmental
DNA
(eDNA)
and
subsequent
metabarcoding
are
useful
tools
for
assessing
marine
fish
biodiversity
noninvasively.
It
is
particular
importance
to
evaluate
in
regions
that
hard
access
thus
less
well
studied.
Sampling
preservation
methods
tailored
the
specific
circumstances
required.
Aquatic
eDNA
often
captured
on
filters
made
different
materials
pore
sizes,
subsequently
stored
under
divergent
conditions
varying
periods
time.
Previous
studies
multispecies
detection
systems
have
primarily
focused
capture
extraction
effects.
Our
study,
contrast,
examined
effects
filter
type,
storage
method,
time
yield,
alpha
(i.e.,
ZOTU
richness)
beta
diversity
composition)
recovered
from
a
ecosystem
Shark
Bay,
Western
Australia.
We
compared
two
types
(cellulose‐nitrate
with
sizes
0.45
μm;
glass‐fiber
0.1
μm),
(preservation
Longmire's
solution
drying,
respectively),
various
times
(30–68
days)
assays
using
fish‐specific
primers.
results
showed
decreased
yield
affected
estimates.
Cellulose‐nitrate
proved
be
best
combination
smallest
decrease
no
effect
consistent
community
compositions.
Storing
led
estimates
increasing
Furthermore,
largest
change
each
metabarcode
was
found
regardless
method.
highlight
considering
interactions
between
method
when
analyzing
results,
especially
storing
samples
an
extended
period
or
comparison
durations.