Sustainability,
Год журнала:
2020,
Номер
12(15), С. 6041 - 6041
Опубликована: Июль 28, 2020
Aromia
bungii
(Faldermann,
1835)
(Coleoptera:
Cerambycidae),
the
red-necked
longhorn
beetle
is
native
to
eastern
Asia,
where
it
an
important
wood-borer
of
fruit
and
ornamental
species
genus
Prunus.
A.
a
quarantine
pest
in
European
Union,
following
its
accidental
introduction
establishment
Germany
Italy,
currently
included
list
priority
pests.
To
confirm
infestations
outbreak
areas,
adult
or
larval
specimens
are
needed
perform
morphological
molecular
analyses.
The
presence
larvae
inside
attacked
trees
makes
collection
particularly
difficult.
Thus,
we
present
two
diagnostic
protocols
based
on
frass
analysis
with
real-time
PCR
(probe
SYBR
Green).
results
obtained
show
that
non-invasive
approach
for
detecting
this
harmful
invasive
can
be
reliable
accurate
alternative
tool
phytosanitary
surveys,
as
well
outline
sustainable
management
strategy.
The
microbial
gut
communities
associated
with
various
xylophagous
beetles
offer
great
potential
for
different
biotechnologies
and
elaboration
of
novel
pest
management
strategies.
In
this
research,
the
intestinal
bacterial
fungal
cerambycid
larvae,
including
Acmaeops
septentrionis,
Acanthocinus
aedilis,
Callidium
coriaceum,
Trichoferus
campestris
Chlorophorus
herbstii,
were
investigated.
these
Cerambycidae
species
mostly
represented
by
members
phyla
Proteobacteria
Actinobacteria
phylum
Ascomycota.
However,
varied
beetle
between
individual
organisms.
Furthermore,
communities'
metagenomes
reconstruction
indicated
genes
that
encode
enzymes
involved
in
lignocellulose
degradation
(such
as
peroxidases,
alpha-L-fucosidases,
beta-xylosidases,
beta-mannosidases,
endoglucanases,
beta-glucosidases
others)
nitrogen
fixation
(nitrogenases).
Most
predicted
potentially
related
to
enriched
T.
campestris,
A.
aedilis
septentrionis
larval
consortia,
whereas
affiliated
nitrogenase
component
proteins
C.
herbstii
consortia.
Several
bacteria
fungi
detected
current
work
could
be
nutrition
larvae.
Computers and Electronics in Agriculture,
Год журнала:
2019,
Номер
166, С. 105002 - 105002
Опубликована: Сен. 23, 2019
Insect
pests
are
often
associated
with
food
contamination
and
public
health
risks.
Accurate
timely
species-specific
identification
of
is
a
key
step
to
scale
impacts,
trace
back
the
process
promptly
set
intervention
measures,
which
usually
have
serious
economic
impact.
The
current
procedure
involves
visual
inspection
by
human
analysts
pest
fragments
recovered
from
samples,
time-consuming
error-prone
process.
Deep
Learning
models
been
widely
applied
for
image
recognition,
outperforming
other
machine
learning
algorithms;
however
only
few
studies
deep
detection.
In
this
paper,
we
describe
our
solution
automatic
15
storage
product
beetle
species
frequently
detected
in
inspection.
Our
approach
based
on
convolutional
neural
network
trained
dataset
6900
microscopic
images
elytra
fragments,
obtaining
an
overall
accuracy
83.8%
cross
validation.
Notably,
classification
performance
obtained
without
need
designing
selecting
domain
specific
features,
thus
demonstrating
promising
prospects
detecting
contamination.
Journal of Pest Science,
Год журнала:
2020,
Номер
94(3), С. 871 - 883
Опубликована: Дек. 7, 2020
Abstract
Longhorn
beetles
are
commonly
moved
among
continents
within
wood
packaging
materials
used
in
trades.
Visual
inspections
carried
out
at
points
of
entry
often
fail
to
detect
exotic
longhorn
as
infested
may
have
little
or
no
sign
colonization.
Black-colored
traps
baited
with
pheromones
and
host
volatiles
thus
improve
chances
detection.
Here
we
tested
whether
existing
surveillance
protocols
for
can
be
further
improved
using
trap
colors
different
than
black.
Baited
eight
(i.e.,
grey,
yellow,
green,
red,
blue,
brown,
purple
black)
were
deployed
a
randomized
complete
block
design
16
sites
northern
Italy
2019.
A
total
6,001
individuals
from
56
beetle
species
trapped.
In
general,
yellow
blue
caught
significantly
higher
number
black
traps.
addition,
color
affected
richness
abundance
the
subfamily
level,
mixed
response
mostly
linked
habit
visiting
flowers
food.
Flower-visiting
mainly
exhibited
clear
preference
flower-related
colors,
i.e.,
green
whereas
non-flower-visiting
more
attracted
by
dark
long-wavelength-dominated
like
red
brown.
Our
results
clearly
indicate
that
generic
programs
should
not
rely
exclusively
on
use
strongly
chance
detecting
native
potentially
Biological Invasions,
Год журнала:
2023,
Номер
25(8), С. 2395 - 2421
Опубликована: Май 11, 2023
Abstract
Global
trade
continues
to
increase
in
volume,
speed,
geographic
scope,
diversity
of
goods,
and
types
conveyances,
which
has
resulted
a
parallel
both
quantity
pathways
available
for
plant
pests
move
via
trade.
Wood
packaging
material
(WPM)
such
as
dunnage,
pallets,
crates,
spools,
is
an
integral
part
the
global
supply
chain
due
its
function
containing,
protecting,
supporting
movement
traded
commodities.
The
use
untreated
solid
wood
WPM
introduces
risk
boring
wood-infesting
organisms
into
chain,
while
handling
storage
conditions
treated
presents
post-treatment
contamination
by
surface-adhering
or
sheltering
pests.
wood-boring
-infesting
pest
risks
intrinsic
pathway
were
addressed
2002
adoption
2009
revision
ISPM
15,
was
first
implemented
2005–2006
North
America.
Although
this
initiative
been
widely
implemented,
some
still
occurs
combination
factors
including;
fraud,
material,
insufficient-
incomplete-
treatment,
contamination.
Here
we
examine
forest-to-recycling
production
utilization
with
respect
dynamics
contaminating
incidence
within
environments
international
provide
opportunities
improvements
reduction.
We
detail
discuss
each
step
current
systems
place,
regulatory
environments.
knowledge
gaps,
research
recommendations
step.
This
big
picture
perspective
allows
full
system
review
where
new
improved
management
strategies
could
be
explored
improve
our
regulations.
NeoBiota,
Год журнала:
2023,
Номер
85, С. 145 - 165
Опубликована: Июнь 22, 2023
Beetles
are
commonly
moved
among
continents
with
international
trade.
Baited
traps
set
up
in
and
around
entry
points
used
to
increase
chances
of
early-detection
incoming
species
complement
visual
inspections.
A
still
underestimated
benefit
this
surveillance
approach
is
the
high
number
diversity
collected
bycatch
species.
In
study,
we
exploited
a
multiyear
program
carried
out
baited
at
five
Spanish
ports
their
surrounding
natural
areas
investigate
i)
importance
identifying
more
promptly
detect
nonnative
belonging
non-target
groups;
ii)
patterns
native
richness
abundance
inside
port
vs.
areas;
iii)
occurrence
spillover
events
between
areas,
iv)
whether
most
introduced
into
other
countries
abundant
than
areas.
total
23,538
individuals
from
206
representing
33
families
were
collected.
The
taxonomic
26
beetle
testified
that
identification
these
unintentionally
trapped
can
provide
additional
information
on
ongoing
invasions.
Patterns
highlighted
differential
ability
different
colonize
Finally,
surroundings,
while
opposite
trend
occurred
for
have
not
been
elsewhere.
Our
study
use
generic
attractants
aid
species,
useful
risk
introduction
countries.
Journal of Integrated Pest Management,
Год журнала:
2023,
Номер
14(1)
Опубликована: Янв. 1, 2023
Abstract
The
genus
Anoplophora
(Coleoptera:
Cerambycidae)
is
among
the
most
well-known
insect
genera
in
invasive
entomology
and
represented
by
2
noted
alien
species:
Asian
longhorned
beetle
(Anoplophora
glabripennis
(Motschulsky,
1854))
Citrus
chinensis
(Forster,
1771)).
In
this
study,
a
new
non-native
species
belonging
to
Anoplophora,
horsfieldii
(Hope,
1843),
has
been
discovered
on
Jeju
Island,
South
Korea
(33°30′N,
126°30′E).
Our
field
survey
of
established
area
potential
habitats
nearby
identified
numerous
adult
beetles
exit
holes
its
host,
Celtis
sinensis
Persoon,
1805.
This
finding
emphasizes
importance
continued
monitoring
management
species,
which
cause
significant
ecological
economic
damage.
Journal of Economic Entomology,
Год журнала:
2017,
Номер
111(1), С. 260 - 268
Опубликована: Окт. 19, 2017
Several
native
species
of
bark-
and
wood-boring
beetles
(Coleoptera)
have
expanded
their
range
within
biogeographic
regions
in
the
last
years,
but
role
human
activity
driving
this
phenomenon
has
been
underinvestigated.
Here
we
analyze
3
yr
trapping
records
(Cerambycidae
Scolytinae)
collected
at
12
Italian
ports
surrounding
forests
to
help
elucidate
movement
region.
We
trapped
several
that
occurred
either
inside
or
outside
distributional
Italy.
Species
richness
abundance
those
found
located
were
most
strongly
associated
with
amount
forest
cover
landscape,
suggesting
they
could
arrived
from
nearby
forests.
The
was
instead
linked
national
imports
arriving
port
where
occurred,
likely
introduced
other
parts
This
study
demonstrates
sea
transportation
can
favor
expansion
a
country,
confirms
surround
serve
as
source
be
potentially
moved
exports.
Evolutionary Applications,
Год журнала:
2022,
Номер
15(6), С. 934 - 953
Опубликована: Апрель 11, 2022
Human-assisted
movement
has
allowed
the
Asian
longhorned
beetle
(ALB,
Anoplophora
glabripennis
(Motschulsky))
to
spread
beyond
its
native
range
and
become
a
globally
regulated
invasive
pest.
Within
of
China
Korean
peninsula,
human-mediated
dispersal
also
caused
cryptic
translocation
insects,
resulting
in
population
structure
complexity.
Previous
studies
used
genetic
methods
detangle
this
complexity
but
were
unable
clearly
delimit
populations
which
is
needed
develop
downstream
biosurveillance
tools.
We
genome-wide
markers
define
historical
ALB
contemporary
between
regions.
genotyping-by-sequencing
generate
6102
single-nucleotide
polymorphisms
(SNPs)
amplicon
sequencing
genotype
53
microsatellites.
In
total,
we
genotyped
712
individuals
from
ALB's
distribution.
observed
six
distinct
clusters
among
populations,
with
clear
delineation
northern
southern
groups.
Most
South
Korea
China.
Our
results
indicate
divergence
suggest
limited
large-scale
admixture,
did
identify
restricted
number
cases
identified
SNPs
under
selection
describe
clinal
allele
frequency
pattern
missense
variant
associated
glycerol
kinase,
an
important
enzyme
utilization
insect
cryoprotectant.
further
demonstrate
that
small
numbers
can
assign
geographic
regions
high
probability,
paving
way
for
novel