Molecular Ecology,
Год журнала:
2023,
Номер
32(17), С. 4791 - 4800
Опубликована: Июль 12, 2023
Abstract
The
current
advances
of
environmental
DNA
(eDNA)
bring
profound
changes
to
ecological
monitoring
and
provide
unique
insights
on
the
biological
diversity
ecosystems.
very
nature
eDNA
data
is
challenging
yet
also
revolutionizing
how
information
analysed.
In
particular,
new
metrics
approaches
should
take
full
advantage
extent
detail
molecular
produced
by
genetic
methods.
this
perspective,
machine
learning
algorithms
are
particularly
promising
as
they
can
capture
complex
relationships
between
multiple
pressures
communities.
We
investigated
potential
a
generation
biomonitoring
tools
that
implement
machine‐learning
techniques
fully
exploit
datasets.
trained
model
discriminate
reference
impacted
communities
freshwater
macroinvertebrates
assessed
its
performances
using
large
dataset
collected
at
64
standard
federal
sites
across
Switzerland.
show
significantly
better
than
naive
performs
similarly
traditional
data.
Our
proof‐of‐concept
shows
such
combination
has
complement
or
even
replace
monitoring,
could
be
scaled
along
temporal
spatial
dimensions.
Molecular Ecology,
Год журнала:
2024,
Номер
33(11)
Опубликована: Апрель 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.
Diversity,
Год журнала:
2023,
Номер
15(5), С. 631 - 631
Опубликована: Май 6, 2023
Aquatic
non-indigenous
species
(NIS)
threaten
biodiversity,
ecosystem
functions,
and
the
economy
worldwide.
Monitoring
NIS
is
of
immediate
concern
to
identify
newly
arriving
species,
assess
efficacy
mitigation
measures,
report
long-term
indicators
introduction,
spread,
impacts.
The
challenges
associated
with
conventional
methods
specimen
collection
morphological
identification
have
led
development
alternative
methods,
such
as
DNA-based
which
could
offer
rapid
cost-effective
detection
NIS.
Depending
on
whether
a
few
(targeted
monitoring)
or
many
(passive
are
being
monitored,
environmental
DNA
(eDNA)
can
infer
presence-absence
relative
abundances,
enabling
informed
decisions
actions
be
made
based
patterns
detection.
Compared
more
eDNA
tools
increase
levels
sensitivity
for
rare
elusive
even
noticeable
some
taxa
when
using
targeted
monitoring.
use
not
only
minimizes
onus
taxonomic
expertise
reduces
resource
demands
but
also
sensitive
cost-efficient
in
detecting
NIS,
thus
proving
its
value
an
early
warning
tool.
As
nucleic
acid
(DNA/RNA)
advance
rapidly
detection,
there
must
balance
between
method
sensitivity,
logistical
requirements,
costs,
factored
into
future
management
decisions.
While
complementary
reviews
available,
our
aim
emphasize
importance
incorporating
surveys
highlight
available
opportunities
this
field.
Philosophical Transactions of the Royal Society B Biological Sciences,
Год журнала:
2024,
Номер
379(1904)
Опубликована: Май 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,
Год журнала:
2023,
Номер
32(13), С. 3497 - 3512
Опубликована: Апрель 17, 2023
Abstract
Despite
being
the
most
important
source
of
liquid
freshwater
on
planet,
groundwater
is
severely
threatened
by
climate
change,
agriculture,
or
industrial
mining.
It
thus
extensively
monitored
for
pollutants
and
declines
in
quantity.
The
organisms
living
groundwater,
however,
are
rarely
target
surveillance
programmes
little
known
about
fauna
inhabiting
underground
habitats.
difficulties
accessing
lack
expertise,
apparent
scarcity
these
challenge
sampling
prohibit
adequate
knowledge
fauna.
Environmental
DNA
(eDNA)
metabarcoding
provides
an
approach
to
overcome
limitations
but
largely
unexplored.
Here,
we
sampled
water
20
communal
spring
catchment
boxes
used
drinking
provisioning
Switzerland,
with
a
high
level
replication
at
both
filtration
amplification
steps.
We
sequenced
portion
COI
mitochondrial
gene,
which
resulted
4917
ASVs,
yet
only
3%
reads
could
be
assigned
species,
genus,
family
more
than
90%
identity.
Careful
evaluation
unassigned
corroborated
that
sequences
were
true
belonging
mostly
diverse
eukaryotic
groups,
not
present
reference
databases.
Principal
component
analyses
showed
strong
correlation
community
composition
surface
land‐use
(agriculture
vs.
forest)
geology
(fissured
rock
unconsolidated
sediment).
While
incomplete
databases
limit
assignment
taxa
eDNA
metabarcoding,
taxonomy‐free
approaches
can
reveal
large
hidden
diversity
couple
it
major
drivers,
revealing
their
imprint
chemical
biological
properties
groundwater.
ABSTRACT
Environmental
DNA
(eDNA)
is
increasingly
used
in
biodiversity
assessments,
but
there
remain
uncertainties
regarding
its
congruence
with
data
based
on
traditional
approaches
involving
habitat
sampling
and
morphological‐based
taxonomy.
Using
eDNA
for
biomonitoring
has
several
advantages,
including
improved
processing
efficiencies
precision
of
taxonomic
identification.
In
contrast,
time‐consuming
expensive,
often
limiting
the
number
sites
monitored.
Establishing
that
eDNA‐derived
metrics
are
congruent
their
equivalents
a
national
scale
would
support
wider
use
biomonitoring.
Our
study
compared
ecosystem
health
assessments
made
by
techniques
to
those
using
from
53
throughout
Aotearoa
New
Zealand.
Because
was
not
done
concurrently
benthic
at
most
sites,
we
average
community
composition
each
site
previous
occasions.
We
also
allocated
species
identified
level
identification
allow
comparisons
broader
groups.
assessed
similarities
between
three
datasets
found
high
degree
correlation
convergence
biotic
indices
calculated
different
methods.
did,
however,
appear
under‐represent
some
taxa,
reflecting
challenges
matching
barcodes
an
often‐incomplete
sequence
library.
did
always
perform
better
terms
showing
effects
land
invertebrate
composition,
all
produced
similar
patterns.
Multivariate
analyses
(redundancy
analysis
variation
partitioning)
relationships
environmental
spatial
variables
structure
described
replicated
responses
showed
same
overall
patterns
as
traditionally
collected
data.
suggest
can
complement
methods,
will
least
well
detecting
scale.
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 Science & Technology,
Год журнала:
2021,
Номер
55(24), С. 16434 - 16444
Опубликована: Дек. 9, 2021
Biological
quality
elements
have
been
developed
worldwide
to
assess
whether
a
water
body
is
in
good
status
or
not.
However,
current
studies
mainly
focus
on
single
taxonomic
group
small
set
of
species,
often
limited
by
methods
morphological
identification,
and
lack
further
aspects
biodiversity
(e.g.,
across
taxa
multiple
attributes)
ecosystem
functions.
Here,
we
advance
framework
for
assessing
the
river's
ecological
based
complete
data
measured
environmental
DNA
(eDNA)
metabarcoding
measurements
functions
addition
physicochemical
large
riverine
system
China.
We
identified
40
indicators
functions,
covering
five
groups
from
bacteria
invertebrates,
associated
with
attributes
Our
show
that
human
impact
ecosystems
could
be
accurately
predicted
these
eDNA-based
using
cross-validation
known
stressor
gradient.
Moreover,
indices
not
only
distinguish
characteristics
sites
but
also
improve
assessment
accuracy
20–30%
status.
Overall,
incorporating
functional
elements,
multidimensional
perspectives
states
provide
additional
information
protect
maintain
rivers.
Environmental DNA,
Год журнала:
2022,
Номер
5(2), С. 326 - 342
Опубликована: Дек. 18, 2022
Abstract
Metabarcoding
of
environmental
DNA
(eDNA)
is
a
powerful
tool
for
describing
biodiversity,
such
as
finding
keystone
species
or
detecting
invasive
in
samples.
Continuous
improvements
the
method
and
advances
sequencing
platforms
over
last
decade
have
meant
this
approach
now
widely
used
biodiversity
sciences
biomonitoring.
For
its
general
use,
hinges
on
correct
identification
taxa.
However,
past
studies
shown
how
crucially
depends
important
decisions
during
sampling,
sample
processing,
subsequent
handling
data.
With
no
clear
consensus
to
best
practice,
particularly
latter
has
led
varied
bioinformatic
approaches
recommendations
data
preparation
taxonomic
identification.
In
study,
using
large
freshwater
fish
eDNA
sequence
dataset,
we
compared
frequently
zero‐radius
Operational
Taxonomic
Unit
(zOTU)
our
raw
reads
assigned
it
taxonomically
(i)
combination
with
publicly
available
reference
sequences
(open
databases)
(ii)
an
OSU
(Operational
Sequence
Units)
database
approach,
curated
generated
from
specimen
barcoding
(closed
database).
We
show
both
gave
comparable
results
common
species.
commonalities
between
decreased
read
abundance
were
thus
less
reliable
not
rare
The
success
zOTU
depended
suitability,
rather
than
size,
database.
Contrastingly,
often
enabled
species‐level
identifications,
yet
resolution
recent
phylogenetic
age
need
include
target
group
coverage,
outgroups
full
annotation
databases
avoid
misleading
annotations
that
can
occur
when
short
amplicon
sizes
commonly
metabarcoding
studies.
Finally,
make
suggestions
improve
construction
use
future.
Environment International,
Год журнала:
2023,
Номер
175, С. 107950 - 107950
Опубликована: Апрель 28, 2023
The
biological
integrity
of
global
freshwater
ecosystems
is
threatened
by
ever-increasing
environmental
stressors
due
to
increased
human
activities,
such
as
land-use
change,
eutrophication,
toxic
pollutants,
overfishing,
and
exploitation.
Traditional
ecological
assessments
lake
or
riverine
often
require
supervision
a
pre-selected
reference
area,
using
the
current
state
area
expected
state.
However,
selecting
an
appropriate
has
become
increasingly
difficult
with
expansion
activities.
Here,
unsupervised
assessment
framework
based
on
DNA
metabarcoding
without
prior
proposed.
Taxon
richness,
species
dominance,
co-occurrence
network
density,
phylogenetic
distance
were
used
assess
aquatic
communities
in
Taihu
Lake
basin.
Multi-gene
revealed
comprehensive
biodiversity
at
multiple
trophic
levels
including
algae,
protists,
zooplankton,
fish.
Fish
sequences
mainly
derived
from
12S,
zooplankton
mitochondrial
cytochrome
C
oxidase
subunit
I,
algae
protists
18S.
There
significant
differences
community
composition
among
lakes,
rivers,
reservoirs
but
no
four
fundamental
indicators.
algal
integrities
positively
correlated
protist
fish
integrities,
respectively.
Additionally,
lakes
was
found
be
significantly
lower
than
that
rivers.
proposed
this
study
allows
different
ecosystems,
same
ecosystem
seasons,
adopt
indicators
methods,
which
more
convenient
for
management
decision-making.
Environmental DNA,
Год журнала:
2023,
Номер
5(5), С. 1048 - 1064
Опубликована: Авг. 9, 2023
Abstract
Molecular
techniques
using
DNA
retrieved
from
community
or
environmental
samples,
in
particular
(eDNA),
are
becoming
increasingly
popular
for
detecting
individual
species,
assessing
biodiversity,
and
quantifying
ecological
indices.
More
recently,
eDNA
has
also
been
proposed
as
a
template
population
genetics,
several
studies
have
already
tested
the
feasibility
of
this
approach,
mostly
looking
at
vertebrate
species.
Their
results
along
with
general
opportunities
offered
by
these
types
“community‐based”
such
possibility
to
target
multiple
species
same
time,
generated
great
enthusiasm
expectations
genetics.
However,
not
every
aspect
genetics
can
be
addressed
eDNA‐based
data
some
inherent
limitations
may
challenge
its
conclusions.
Here,
we
firstly
review
state
current
knowledge
samples
Then,
focusing
on
eDNA,
summarize
but
detail
four
main
use
population‐level
inferences,
namely,
(1)
difficulty
retrieve
species‐specific
dataset,
(2)
potential
lack
correlation
between
observed
true
allelic
frequencies,
(3)
loss
information
multi‐locus
genotyping
linkage
loci,
(4)
uncertainty
about
individuals
contributing
sampled
pool
(e.g.,
number,
life‐stage,
sex).
Some
might
overcome
development
new
technologies
models
that
account
specificities
eDNA.
Others,
however,
inherent,
their
effect
inferences
must
thoroughly
evaluated.
The
gaining
insights
into
genetic
diversity
structure
is
appealing
scientists,
conservation
managers,
other
practitioners.
Yet,
avoid
false
incorrect
it
imperative
known
considered
alongside
advantages.