Molecular Biology Reports,
Journal Year:
2024,
Volume and Issue:
51(1)
Published: Sept. 16, 2024
Over
the
last
decade,
increasing
attention
has
been
directed
to
using
different
substrates
as
sources
of
environmental
DNA
(eDNA)
in
ecological
research.
Reports
on
use
located
surface
plant
leaves
and
flowers
have
highlighted
utility
this
source
studies
including,
but
not
limited
to,
biodiversity,
invasive
species,
pollination
ecology.
The
current
study
assesses
grass
inflorescence
a
eDNA
for
detecting
invertebrate
taxa.
Environmental DNA,
Journal Year:
2023,
Volume and Issue:
5(3), P. 488 - 502
Published: March 8, 2023
Abstract
Animal
pollinators
are
vital
for
the
reproduction
of
~90%
flowering
plants.
However,
many
these
pollinating
species
experiencing
declines
globally,
making
effective
pollinator
monitoring
methods
more
important
than
ever
before.
Pollinators
can
leave
DNA
on
flowers
they
visit,
and
metabarcoding
environmental
(eDNA)
traces
provides
an
opportunity
to
detect
presence
flower
visitors.
Our
study,
collecting
from
seven
plant
with
diverse
floral
morphologies,
eDNA
analysis,
illustrated
value
this
novel
survey
tool.
using
three
assays,
including
one
developed
in
study
target
common
bush
birds,
recorded
animal
visiting
visual
surveys
conducted
concurrently,
bees,
other
species.
We
also
a
visit
western
pygmy
possum;
our
knowledge
is
first
simultaneously
identify
interaction
insect,
mammal,
bird
flowers.
The
highest
diversity
taxa
was
detected
large
inflorescence
types
found
Banksia
arborea
Grevillea
georgeana.
demonstrates
that
ease
sample
collection
robustness
methodology
has
profound
implications
future
management
biodiversity,
allowing
us
monitor
both
plants
their
attendant
cohort
potential
pollinators.
This
opens
avenues
rapid
efficient
comparison
biodiversity
ecosystem
health
between
different
sites
may
provide
insights
into
surrogate
event
declines.
Environmental DNA,
Journal Year:
2023,
Volume and Issue:
5(3), P. 551 - 569
Published: March 29, 2023
Abstract
Arthropods
can
strongly
impact
ecosystems
through
pollination,
herbivory,
predation,
and
parasitism.
As
such,
characterizing
arthropod
biodiversity
is
vital
to
understanding
ecosystem
health,
functions,
services.
Emerging
environmental
DNA
(eDNA)
methods
targeting
trace
eDNA
left
behind
on
flowers
have
the
potential
track
interactions.
The
goal
of
this
study
was
determine
extent
which
metabarcoding
identify
plant‐arthropod
arthropod‐arthropod
interactions
assess
compared
conventional
sampling.
We
deployed
camera
traps
document
activity
specific
flowers,
sampled
from
those
same
then
performed
a
analysis
that
targets
partial
fragment
cytochrome
c
oxidase
subunit
I
gene
(COI)
all
present.
found
our
detected
small
pollinators,
plant
pests,
parasites,
shed
light
predator–prey
while
detecting
55
species
just
21
trapping.
trapping
survey,
however,
larger,
more
conspicuous
nectarivores
successfully.
also
explored
ecology
residual
eDNA,
finding
rainfall
had
significant
negative
effect
ability
detect
eDNA.
Preliminary
evidence
indicates
flower
may
amount
be
detected.
provide
clues
highlights
insights
gained
future
studies.
show
valuable
tool
for
not
only
pollinator
communities
but
revealing
among
plants,
predators.
Future
research
should
focus
how
improve
detection
large
pollinators/nectivores
studying
further
explore
method's
utility.
American Journal of Botany,
Journal Year:
2023,
Volume and Issue:
110(2)
Published: Jan. 12, 2023
Over
the
past
quarter
century,
environmental
DNA
(eDNA)
has
been
ascendant
as
a
tool
to
detect,
measure,
and
monitor
biodiversity
(species
communities),
means
of
elucidating
biological
interaction
networks,
window
into
understanding
patterns
biodiversity.
However,
only
recently
potential
eDNA
realized
in
botanical
world.
Here
we
synthesize
state
applications
systems
with
emphases
on
aquatic,
ancient,
contemporary
sediment,
airborne
systems,
focusing
both
single-species
approaches
multispecies
community
metabarcoding.
Further,
describe
how
abiotic
biotic
factors,
taxonomic
resolution,
primer
choice,
spatiotemporal
scales,
relative
abundance
influence
utilization
interpretation
results.
Lastly,
explore
several
areas
opportunities
for
further
development
tools
plants,
advancing
our
knowledge
efficacy,
utility,
cost-effectiveness,
ultimately
facilitating
increased
adoption
analyses
systems.
Frontiers in Ecology and Evolution,
Journal Year:
2023,
Volume and Issue:
11
Published: May 5, 2023
Introduction
Heterogeneity
in
composition
and
spatial
configuration
of
landscape
elements
support
diversity
abundance
flower-visiting
insects,
but
this
is
likely
dependent
on
taxonomic
group,
scale,
weather
climatic
conditions,
particularly
impacted
by
agricultural
intensification.
Here,
we
analyzed
the
impacts
both
aspects
heterogeneity
role
conditions
pollinating
insect
communities
two
economically
important
mass-flowering
crops
across
Europe.
Methods
Using
a
standardized
approach,
collected
data
five
groups
(honey
bees,
bumble
other
hover
flies
butterflies)
eight
oilseed
rape
apple
orchard
sites
(in
adjacent
crop
margins),
European
countries
(128
total)
encompassing
four
biogeographic
regions,
quantified
habitat
calculating
relevant
metrics
for
(proportion
land-use
types)
(the
aggregation
isolation
patches).
Results
We
found
that
insects
responded
to
climate
parameters
taxon-
crop-specific
ways.
For
example,
was
positively
correlated
with
honey
bee
solitary
fields,
fly
orchards.
In
sites,
total
all
pollinators,
bees
decreased
an
increasing
proportion
orchards
surrounding
landscape.
less-intensively
managed
habitats
(i.e.,
woodland,
grassland,
meadows,
hedgerows)
influenced
butterflies.
Additionally,
our
showed
daily
annual
temperature,
as
well
precipitation
seasonality,
affects
although,
again,
these
appeared
be
or
crop-specific.
Discussion
Thus,
context
global
change,
findings
emphasize
importance
understanding
taxon-specific
responses
changes
land
use
climate,
ensure
continued
delivery
pollination
services
pollinator-dependent
crops.
Applications in Plant Sciences,
Journal Year:
2025,
Volume and Issue:
13(2)
Published: Feb. 5, 2025
The
importance
of
natural
history
collections
in
modern
ecological
and
genetic
research
cannot
be
overstated.
Herbarium
specimens
provide
historical
information
that
can
used
to
investigate
community
ecology,
phenology,
population
genetics.
In
this
study,
environmental
DNA
(eDNA)
metabarcoding
next-generation
sequencing
were
test
the
efficacy
detecting
plant-animal
interactions
from
herbarium
specimen
flowers.
A
modified
eDNA
isolation
method
standard
Illumina
protocols
used.
Animal
was
amplified
using
both
cytochrome
c
oxidase
subunit
I
(COI)
16S
primers
increase
detection
probability.
relationship
between
age
(0-69
years)
target
taxa
read
depth
also
investigated.
We
generated
identified
over
1.5
million
sequences
animal
belonging
29
clades
(families
or
orders).
These
methods
enabled
including
birds,
mammals,
hymenopterans,
lepidopterans,
coleopterans,
"intrafloral"
communities.
While
overall
yielded
less
identifiable
compared
fresh
material,
negligibly
affected
amount
and/or
non-target
detected
With
careful
consideration
types
data
may
obtained
through
sampling
specimens,
these
could
prove
valuable
future
on
interactions.
Environmental DNA,
Journal Year:
2025,
Volume and Issue:
7(1)
Published: Jan. 1, 2025
ABSTRACT
Understanding
the
diversity
and
ecological
roles
of
arthropods
within
tree‐related
microhabitats
(TreMs)
is
crucial
for
forest
ecosystem
conservation
management.
In
our
study,
we
aimed
to
identify
most
effective
environmental
DNA
(eDNA)
metabarcoding
approach
capturing
ecologically
important
arthropod
species
primarily
inhabiting
near‐ground‐level
TreMs.
We
evaluated
use
COI
16S
primers
eDNA
compared
direct
indirect
sampling
methods,
including
lying
deadwood
sediment
(LDS),
standing
(SDS),
soil
(SS),
tree
surface
roller
(TSRS).
Our
results
indicated
significant
biases
challenges,
particularly
in
primer
selection,
with
outperforming
taxonomic
resolution
taxa.
TSRS
method
effectively
captured
408
OTUs
at
level,
highest
number
associated
TreMs
other
approaches.
Direct
from
sediments
revealed
a
higher
abundance
fungi
than
arthropods,
impacting
estimates.
also
observed
habitat‐specific
preferences
among
certain
methods
distinct
findings
underscore
importance
carefully
selecting
validating
studies
provide
insights
into
complexity
communities
Optimized
will
advance
monitoring
techniques
ecosystems
inform
efforts
preserve
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 18, 2025
Abstract
Environmental
DNA
refers
to
genetic
material
collected
from
the
environment
and
not
directly
an
organism
of
interest.
It
is
best
known
as
a
tool
in
aquatic
ecology
but
eDNA
has
been
found
associated
with
almost
every
substrate
examined
including
soils,
surfaces,
riding
around
on
other
animals.
The
collection
airborne
one
most
recent
advances
used
monitor
variety
organisms,
plants,
animals,
microorganisms.
Evidence
suggests
high
turnover
rate
providing
signal
for
presence
organism.
Here,
we
test
whether
biological
carried
air
honey
bee
colonies
can
be
evaluate
foraging
colony
health.
We
sampled
using
purpose
built
“bee
safe”
filters
operating
5-6
hours
at
each
successfully
recovered
plant,
fungal
microbial
within
over
3-week
pilot
period.
From
these
data
identified
core
microbiome
plant
interaction
representing
behaviour.
calculated
beta
diversity
estimate
effects
apiary
sites
sampling
date
recovery.
observed
that
variance
ITS
was
more
influenced
by
date.
Given
bees
are
generalist
pollinators
our
ability
detect
temporal
signals
sequence
suggest
this
method
opens
new
avenues
into
ecological
analysis
short
term
behavior
level.
In
comparison
16S
sequencing
location.
As
assessment
health
needs
localized,
spatial
indicate
may
important
detecting
infection.
This
study
demonstrates
filtration
strong
potential
rapid
screening
behaviour
Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
15(5)
Published: May 1, 2025
ABSTRACT
Traditional
methods
of
biodiversity
monitoring
are
often
logistically
challenging,
time‐consuming,
require
experienced
experts
on
species
identification,
and
sometimes
include
destruction
the
targeted
specimens.
Here,
we
investigated
a
non‐invasive
approach
combining
use
drones
environmental
DNA
(eDNA)
to
monitor
insect
vegetation.
We
aimed
assess
efficiency
this
novel
method
in
capturing
diversity
comparing
composition
across
different
vegetation
types
(grassland,
shrub
forest)
Switzerland.
A
commercial,
off‐the‐shelf
drone
was
equipped
with
specialised
probe
that
autonomously
swabbed
collected
eDNA.
Then,
samples
were
processed
using
rapid
third‐generation
Oxford
Nanopore
sequencing.
The
obtained
data
analysed
for
diversity,
taxonomic
richness,
evenness
community
three
habitat
statistical
techniques.
Sequencing
yielded
76
hexapod
taxa,
revealing
an
notable
differences
richness
but
not
grassland,
forest
habitats.
Our
study
demonstrates
potential
drone‐based
sampling
integrated
eDNA
nanopore
sequencing
monitoring,
offering
non‐destructive
detecting
occurrence
plant
surfaces.
Integrating
robotics
technology
provides
promising
solution
fast,
large‐scale,
potentially
improving
conservation
efforts
ecosystem
management.