Research Square (Research Square),
Год журнала:
2021,
Номер
unknown
Опубликована: Окт. 19, 2021
Abstract
Background
Cockles
are
an
essential
biological
resource
for
several
fishing
villages
in
Europe,
especially
Portugal.
This
bivalve
is
highly
commercialized
the
Aveiro
coastal
lagoon
and
has
relevant
socio-economic
importance
local
shellfishers.
In
absence
of
a
management
plan,
indications
carrying
out
new
ecological
studies
on
cockle,
all
aggregated
history
this
natural
Ria
de
Aveiro,
sharing
ethnobiological
knowledge
shellfishers
becomes
scenario.
We
shared
highlights
(LEK)
about
cockle
(
C.
edule
)
favor
adaptive
bioresource.
Methods
ecologically
prominent
area
Europe
due
to
its
faunal
biodiversity.
Semi-structured
interviews
with
sixty
were
carried
during
April
May
2021.
LEK
data
biology
ecology
analyzed
using
ethical-emic
approach
model
integration
different
individual
skills.
These
informal
compared
previously
published
species,
Fish
Base,
GBIF
databases.
Interviews
categorized
Microsoft
365
MSO.
Results
Discussion
Five
capture
tools
used
traditional
.
The
average
minimum
size
was
23.4
mm,
per
tide
137.12
kg.
areas
highest
productivity
most
shellfish
RIAV1
RIAV2.
habitat
usually
sand
mud
depth
2.71
cm.
Feeds
mainly
small
particles,
plankton,
mud,
algae.
main
predators
crabs,
European
plaice,
bird
species.
spawn
primarily
late
spring
summer.
As
2010,
there
slight
decrease
stocks
overfishing,
increased
rainfall,
changes
sediment.
Shellfishers
often
Deeply
considering
analyzing
better
understanding
environmental
context
view
users
Aveiro.
Conclusion
Informal
by
typical
filter-feeding
mollusks.
may
assist
planning
future
plans
cockles,
unrefuted
serve
as
untestable
hypotheses.
Understanding
how
fishers
exploit
ecosystem
can
clarify
shape
more
socio-ecological
actions.
Ethnobiological
other
species
contribute
system
since
multiple
fisheries
area.
INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY,
Год журнала:
2021,
Номер
71(2)
Опубликована: Янв. 28, 2021
Cockle
mortality
events
have
been
reported
in
northern
France
since
2012.
In
the
present
study,
we
describe
and
investigate
implication
of
a
potential
bacterial
causative
agent
cockle
mortality.
Bacteria
isolated
from
five
different
were
characterized
studied.
Using
phenotypic
analysis
combined
with
DNA-DNA
hybridization
(DDH)
whole
genome
sequencing,
isolates
shown
to
belong
Vibrio
aestuarianus,
species
regularly
detected
during
oyster
events.
Comparison
strains
cockles
French
oysters
type
strain
showed
that
genetically
those
also
V.
aestuarianus
strain.
Moreover,
classified
into
two
different,
but
close,
groups
both
separated
by:
(1)
analyses
ldh
gene
sequences;
(2)
DDH
assays
between
12/122
3T3T
(LMG
31436T=DSM
109723T),
representative
strain,
02/041T
(CIP
109791T=LMG
24517T)
LMG
7909T;
(3)
average
nucleotide
identity
values
calculated
on
genomes;
(4)
traits.
Finally,
results
MALDI-TOF
revealed
specific
peaks
discriminating
three
strains.
The
toxicity
these
was
demonstrated
by
experimental
infection
hatchery-produced
cockles.
data
therefore
allow
us
propose
novel
subspecies
aestuarianus:
subsp.
cardii
nov.
for
francensis
Pacific
strains,
addition
an
emended
description
aestuarianus.
Applied Microbiology and Biotechnology,
Год журнала:
2021,
Номер
105(6), С. 2527 - 2539
Опубликована: Фев. 15, 2021
Abstract
In
mollusk
aquaculture,
a
large
number
of
Vibrio
species
are
considered
major
pathogens.
Conventional
methods
based
on
DNA
amplification
and
sequencing
used
to
accurately
identify
unsuitable
for
monitoring
programs
because
they
time-consuming
expensive.
The
aim
this
study
was,
therefore,
develop
the
MALDI-TOF
MS
method
in
order
establish
rapid
identification
technique
panel
species.
We
created
EnviBase
containing
120
main
spectra
projections
(MSP)
that
potentially
responsible
diseases,
comprising
25
species:
V.
aestuarianus
,
cortegadensis
tapetis
belonging
Coralliilyticus
Harveyi
Mediterranei
Orientalis
clades.
Each
MSP
was
constructed
by
merger
raw
obtained
from
three
different
media
generated
collaborating
laboratories
increase
diversity
conditions
thus
obtain
good
robustness.
Perfect
discrimination
with
all
even
very
closely
related
as
europaeus
bivalvicida
.
new
library
validated
through
blind
test
100
strains
performed
our
collaborators
who
direct
transfer
protein
extraction
methods.
majority
were
successfully
identified
newly
both
protocol
This
documents
first
development
freely
accessible
database
exclusively
devoted
found
marine
environments,
taking
into
account
high
genus.
Key
points
•
Development
quickly
affiliate
Increase
reactivity
when
faced
associated
diseases
Validation
routine
diagnostic
tool
Parasitology,
Год журнала:
2020,
Номер
148(4), С. 486 - 494
Опубликована: Ноя. 20, 2020
Abstract
Trematode
prevalence
and
abundance
in
hosts
are
known
to
be
affected
by
biotic
drivers
as
well
abiotic
drivers.
In
this
study,
we
used
the
unique
salinity
gradient
found
south-western
Baltic
Sea
to:
(i)
investigate
patterns
of
trematode
infections
first
intermediate
host,
periwinkle
Littorina
littorea
downstream
mussel
Mytilus
edulis
,
along
a
regional
(from
13
22)
(ii)
evaluate
effects
host
(periwinkle)
density,
size
on
mussels.
Two
species
dominated
community,
Renicola
roscovita
Himasthla
elongata
.
Salinity,
density
infected
periwinkles
were
significantly
correlated
with
R.
H.
abundance.
These
results
suggest
that
salinity,
play
an
important
role
determining
infection
levels
mussels,
being
main
major
driver.
Under
expected
global
change
scenarios,
predicted
freshening
might
lead
reduced
transmission,
which
may
further
enhanced
potential
decrease
size.
Ecological Informatics,
Год журнала:
2023,
Номер
78, С. 102344 - 102344
Опубликована: Окт. 20, 2023
Bivalve
traceability
is
a
major
concern.
It
of
utmost
importance
to
develop
tools
that
allow
providing
important
information
the
consumer,
not
only
on
origin
product
but
also
its
sustainability
and
safety,
due
harvest
restrictions
imposed
by
regulatory
entities.
This
study
evaluated
application
computer
vision
machine
learning
technologies
for
efficiently
discriminating
cockle
harvesting
based
shell
geometric
morphometric
analysis,
improving
methodologies
in
these
organisms,
highlighting
potential
low-cost
techniques
as
reliable
tool.
Thirty
Cerastoderma
edule
samples
were
collected
along
five
locations
Atlantic
West
South
Portuguese
coast
with
individual
images
processed
using
lazysnapping
segmentation,
spectro-textural-morphological
phenotype
extraction,
feature
selection
through
hybrid
Principal
Component
Analysis
Neighborhood
which
resulted
R,
a*,
b*,
entropy,
diameter.
Three
approaches
models
developed
tested:
pre-trained
networks
(EfficientNet-Bo,
ResNet101,
MobileNetV2,
InceptionV3)
numerical
inputs
(Approach
1),
image-based
2),
deep
neural
Long
Short-Term
Memory
(LSTM),
Gated
Recurrent
Unit
(GRU),
Bidirectional
LSTM
(BiLSTM)
3).
Based
test
results,
Approach
3
GRU-LSTM-BiLSTM
sequence
exhibited
highest
accuracy
(96.91%)
sensitivity
(96%)
among
other
thirteen
models,
hence,
named
BivalveNet.
Comparing
attained
from
BivalveNet
mollusc
studies,
it
was
observed
an
efficiency
close
standard
destructive,
time-consuming,
expensive
techniques,
making
highly
advantageous
approach
common
geographical
available
bivalve
species.
