Biomonitoring
of
agriculturally
important
insects
is
increasingly
given
our
need
to
understand
a)
the
severity
impacts
by
pests
and
pathogens
on
crop
yield
health,
b)
impact
environmental
change
land
management
insects,
in
line
with
sustainable
development
global
conservation
targets.
Traditional
entomological
traps
remain
an
part
biomonitoring
toolbox,
but
their
processing
laborious
introduces
latency,
they
are
variably
accurate.
The
integration
molecular
techniques
such
as
DNA
metabarcoding
into
insect
has
gained
increasing
attention,
advantages
doing
so,
kind
data
this
can
generate,
how
easily
effectively
analyses
be
integrated
diverse
types
currently
used
remains
relatively
unclear.
In
review,
we
examine
combining
a
range
conventional
sampling
advance
way
that
useful
researchers
practitioners.
We
highlight
some
key
challenges
mitigate
them,
using
examples
its
different
methods
from
literature
(e.g.
interception,
pitfall,
malaise,
sticky
traps)
demonstrate
efficacy
suitability.
Finally,
discuss
these
infer
ecological
networks,
emphasising
importance
framework
for
understanding
species
interactions
ecosystem
functioning
more
effective
descriptive
biomonitoring.
Insect Conservation and Diversity,
Journal Year:
2024,
Volume and Issue:
17(3), P. 449 - 463
Published: Jan. 9, 2024
Abstract
Tracking
insect
biodiversity
trends
and
predicting
future
trajectories
is
limited
by
a
lack
of
monitoring
data
across
large
spatiotemporal
scales.
DNA
metabarcoding
time‐
cost‐efficient
method
to
obtain
these
data,
but
has
several
potential
limitations
in
comparison
traditional
morphological
approaches.
For
example,
may
miss
low‐abundance
or
smaller
bodied
individuals
presence/absence
information,
which
bias
estimates
community
composition.
However,
few
comparisons
morphology‐based
identification
have
been
made
using
insects,
the
far
most
diverse
animal
taxonomic
group.
Here,
we
compared
terrestrial
communities
identified
via
morphology
versus
four
different
habitats
three
seasons
(late
spring,
mid‐summer
early
autumn)
during
2019.
We
species
richness,
composition
body
size,
with
focus
on
key
groups
bees,
true
bugs,
butterflies
hoverflies.
252
total
species,
54.8%
both
methods,
whereas
21.4%
19.8%
were
solely
detected
morphology,
respectively.
Overall,
size
similar
between
methods.
Metabarcoding
detection
successes
declined
taxa,
particularly
hoverflies
bugs;
however,
richness
tended
be
higher
identification.
Our
results
show
that
can
provide
an
accurate
overview
differences
are
comparable
those
determined
recommend
programmes
consider
incorporating
metabarcoding,
although
research
needed
overcome
some
remaining
limitations.
Molecular Ecology Resources,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 10, 2024
It
is
a
global
priority
to
better
manage
the
biosphere,
but
action
must
be
informed
by
comprehensive
data
on
abundance
and
distribution
of
species.
The
acquisition
such
information
currently
constrained
high
costs.
DNA
barcoding
can
speed
registration
unknown
animal
species,
most
diverse
kingdom
eukaryotes,
as
BIN
system
automates
their
recognition.
However,
inexpensive
sequencing
protocols
are
critical
census
all
species
likely
require
analysis
billion
or
more
specimens.
Barcoding
involves
extraction
followed
PCR
with
last
step
dominating
costs
until
2017.
By
enabling
highly
multiplexed
samples,
Sequel
platforms
from
Pacific
BioSciences
slashed
90%,
these
instruments
only
deployed
in
core
facilities
because
expense.
Sequencers
Oxford
Nanopore
Technologies
provide
an
escape
capital
service
costs,
low
sequence
fidelity
has,
recently,
adoption.
improved
performance
its
latest
flow
cells
(R10.4.1)
erases
this
barrier.
This
study
demonstrates
that
MinION
cell
characterise
amplicon
pool
derived
100,000
specimens
while
Flongle
process
one
several
thousand.
At
$0.01
per
specimen,
now
least
expensive
barcode
workflow.
Agricultural and Forest Entomology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 8, 2024
Abstract
Biomonitoring
of
agriculturally
important
insects
is
increasingly
vital
given
our
need
to
understand:
(a)
the
severity
impacts
by
pests
and
pathogens
on
crop
yield
health
(b)
impact
environmental
change
land
management
insects,
in
line
with
sustainable
development
global
conservation
targets.
Traditional
entomological
traps
remain
an
part
biomonitoring
toolbox,
but
sample
processing
laborious
introduces
latency,
accuracy
can
be
variable.
The
integration
molecular
techniques
such
as
DNA
metabarcoding
into
insect
has
gained
increasing
attention,
advantages
doing
so,
kind
data
this
generate,
how
easily
effectively
analyses
integrated
diverse
types
currently
used
remains
relatively
unclear.
In
review,
we
examine
combining
a
range
conventional
unconventional
sampling
advance
way
that
useful
researchers
practitioners.
We
highlight
some
key
challenges
mitigate
them,
using
examples
its
different
methods
from
literature
(e.g.,
interception,
pitfall
sticky
traps)
demonstrate
efficacy
suitability.
discuss
infer
ecological
networks,
emphasizing
importance
framework
for
understanding
species
interactions
ecosystem
functioning
more
effective
descriptive
biomonitoring.
Finally,
future
advances
are
highlighted,
alongside
recommendations
best
practice
both
new
experienced
invertebrate
metabarcoding.
Frontiers in Sustainable Food Systems,
Journal Year:
2025,
Volume and Issue:
9
Published: March 20, 2025
Soil
mesofauna
critically
support
organic
matter
decomposition
and
nutrient
cycling,
as
well
regulating
pests
diseases.
Agricultural
activities
can
physically
chemically
influence
soil
communities,
thereby
impacting
the
ecosystem
services
they
provide.
Conserving
natural
features
in
agricultural
environments
is
known
to
biodiversity
associated
services,
yet
communities
their
functions
such
require
further
study.
We
sampled
mesofaunal
(focusing
on
Acari
[mites]
Collembola
[springtails])
agriculturally-dominated
landscapes
southeastern
Ontario,
Canada.
Semi-natural
were
represented
by
drainage
ditch
banks
with
varying
amounts
of
woody
vegetation
different
kinds
forested
blocks.
Specimens
extracted
using
Berlese
funnels,
COI
metabarcoding
was
conducted
bulk
specimen
samples.
A
total
585
operational
taxonomic
units
(OTUs;
a
proxy
for
species)
identifiable
based
DNA
sequences,
390
which
belonged
either
(273)
or
(117);
however,
it
rarely
possible
identify
specimens
species-level.
Mesofaunal
richness
did
not
differ
among
habitat
types
but
community
composition
varied
between
low
woody-vegetation
bank
sites
Maintaining
heterogeneous
semi-natural
appears
increase
overall
diversity
landscape,
even
small
forest
patches
forest-associated
this
region.
