Aquatic
emergent
insect
communities
form
an
important
link
between
aquatic
and
terrestrial
ecosystems,
yet
studying
them
is
costly
time-consuming
as
they
are
usually
diverse
superabundant.
Metabarcoding
a
valuable
tool
to
investigate
arthropod
community
compositions,
however
high-throughput
applications,
such
for
biomonitoring,
require
cost-effective
user-friendly
procedures.
To
if
the
labour-intensive
DNA
purification
step
can
be
omitted
in
metabarcoding,
we
studied
difference
detection
rates
individual
read
abundance
using
standard
versus
direct
PCR
protocols.
with
without
was
performed
artificially
created
of
known
composition
well
on
natural
both
dipteran
family
Chironomidae
compare
rates,
abundances
presence-absence
composition.
We
found
that
here
presented
novel
approach
metabarcoding
did
not
alter
had
minor
effect
communities.
Furthermore,
compositions
chironomid
were
highly
comparable
approaches.
In
conclusion,
showed
protocols
applied
approaches,
possible
application
wider
range
taxa,
enabling
us
study
more
efficiently
future.
Journal of Biogeography,
Journal Year:
2024,
Volume and Issue:
51(9), P. 1709 - 1722
Published: Feb. 13, 2024
Abstract
An
accurate
species‐level
taxonomy
is
paramount
for
biogeographical
research,
and
conversely,
data
are
of
importance
species
delimitation.
We
here
review
recent
developments
future
perspectives
direct
relevance
biogeographers.
The
understanding
that
independently
evolving
segments
population‐level
lineages,
the
rise
integrative
approaches
to
delimit
such
advent
high‐throughput
sequencing
have
considerably
renewed
discipline
taxonomy.
Using
genome‐scale
molecular
datasets,
extent
admixture
across
hybrid
zones
can
now
be
effectively
assessed
evolutionary
independence
lineages
inferred,
leading
more
reliable
comparable
delimitation
criteria.
Substantially
divergent
but
admixing
phylogeographical
conveniently
named
as
subspecies,
thus
avoiding
taxonomic
oversplitting
inflation.
At
same
time,
comprehensive
DNA
barcoding
metabarcoding
efforts
uncovering
an
enormous
proportion
undiscovered
biotic
diversity,
we
encourage
development
bioinformatic
pipelines
combine
discovery
with
diagnosis
scientific
naming,
approach
a
inventory
globe
without
abandoning
established
Linnaean
system.
Turczaninowia,
Journal Year:
2022,
Volume and Issue:
25(4), P. 5 - 11
Published: Nov. 30, 2022
The
article
presents
first
data
of
the
work
on
DNA
barcoding
type
specimens
ALTB
Herbarium
(Barnaul,
Russia).
Obtained
sequences
ITS
and
trnL-trnF,
trnH-psbA
markers
were
deposited
in
NCBI
GenBank,
corresponding
dataset
was
published
GBIF
(Global
Biodiversity
Information
Facility).
Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
14(4)
Published: April 1, 2024
Protist
diversity
studies
are
frequently
conducted
using
DNA
metabarcoding
methods.
Currently,
most
have
utilized
short
read
sequences
to
assess
protist
diversity.
One
limitation
of
is
the
low
resolution
markers.
For
better
taxonomic
longer
18S
rDNA
required
because
full-length
has
both
conserved
and
hypervariable
regions.
In
this
study,
a
new
primer
pair
combination
was
used
amplify
its
efficacy
validated
with
test
community
then
field
samples.
Full-length
obtained
Nanopore
MinION
for
from
samples
were
compared
Illumina
MiSeq
V4
V8-V9
reads.
Sequences
generated
high-throughput
sequencers
Amplicon
Sequence
Variants
(ASVs).
Metabarcoding
results
show
high
congruency
among
long
reads
in
annotation
at
major
group
level;
however,
not
all
taxa
could
be
successfully
detected
sequences.
Based
on
criteria
≥95%
similarity
≥1000
bp
query
length,
298
genera
identified
by
markers
samples,
250
(84%)
18S,
while
only
226
(76%)
213
(71%)
V8-V9.
Of
total
85
dinoflagellate
observed,
19
defined
ASVs
three
52
diatom
genera.
The
discrepancy
due
lack
taxonomically
available
reference
particular
dinoflagellates.
Overall,
preliminary
investigation
demonstrates
that
application
approach
can
successful
studies.
Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
15(4)
Published: March 27, 2025
ABSTRACT
DNA
metabarcoding
provides
a
scalable
alternative
to
traditional
botanical
surveys,
which
are
often
time‐consuming
and
reliant
on
taxonomic
expertise.
Here,
we
compare
with
quadrat‐based
surveys
assess
plant
species
composition
in
experimental
grassland
plots
under
four
defoliation
regimes
(continuous
grazing,
rotational
frequent
cutting
conservation
cutting).
Botanical
identified
16
taxa,
while
detected
25
including
the
dominant
Holcus
lanatus
Lolium
perenne
.
Despite
detecting
more
there
were
some
discrepancies
identification,
sequence
data
only
able
resolve
taxa
at
genus
level
(e.g.,
Agrostis
spp.
instead
of
capillaris
)
potential
misidentifications
Cardaminopsis
helleri
vs.
Cardamine
flexuosa
).
However,
both
methods
provided
comparable
results
revealed
statistically
significant
differences
between
treatments,
higher
diversity
cut
versus
grazed
plots.
The
semi‐quantitative
nature
limits
its
capacity
accurately
reflect
abundance,
posing
challenges
for
ecological
interpretations
where
precise
quantification
is
required.
it
broader
view
biodiversity
can
complement
methods,
offering
new
opportunities
efficient
monitoring.
findings
support
integration
into
assessments,
particularly
when
used
alongside
techniques.
Further
refinement
bioinformatics
tools
reference
databases
will
enhance
their
accuracy
reliability,
enabling
effective
monitoring
sustainable
management
practices.
This
study
highlights
as
valuable
tool
understanding
community
responses
interventions.
Water,
Journal Year:
2025,
Volume and Issue:
17(8), P. 1162 - 1162
Published: April 13, 2025
Pinna
nobilis,
an
ecologically
significant
and
critically
endangered
bivalve
endemic
to
the
Mediterranean
Sea,
has
been
classified
as
“Critically
Endangered”
by
IUCN
due
habitat
degradation,
climate
change,
mass
mortality
events
caused
protozoan
parasite
Haplosporidium
pinnae.
Effective
conservation
efforts
require
robust
molecular
tools
for
species
identification
genetic
monitoring,
necessitating
development
of
optimized
DNA
extraction
amplification
protocols
a
non-invasive
sampling
protocol.
In
this
study,
we
evaluated
multiple
methods—Chelex-100,
sodium
chloride
(NaCl)
method,
modified
CTAB
protocol,
commercial
kit,
NucleoSpin
Tissue
Kit—using
minute
shell
fragments
from
both
ethanol-preserved
air-dried
(dead)
samples.
We
key
parameters,
including
incubation
times,
temperatures,
sample
preparation,
determine
most
effective
protocol
obtaining
high-quality
suitable
downstream
applications.
Additionally,
assessed
different
PCR
strategies,
nested
semi-nested
approaches
targeting
COI
gene
marker,
enhance
identification.
To
further
refine
methodology,
novel
specific
primers
PCR,
improving
sensitivity
specificity
in
detecting
P.
nobilis
degraded
Our
results
provide
optimized,
cost-effective,
time-efficient
workflow
with
broad
implications
genetics,
biodiversity
recovery
programs.
PeerJ,
Journal Year:
2023,
Volume and Issue:
11, P. e16216 - e16216
Published: Oct. 9, 2023
Identifying
species,
particularly
small
metazoans,
remains
a
daunting
challenge
and
the
phylum
Nematoda
is
no
exception.
Typically,
nematode
species
are
differentiated
based
on
morphometry
presence
or
absence
of
certain
characters.
However,
recent
advances
in
artificial
intelligence,
machine
learning
(ML)
algorithms,
offer
promising
solutions
for
automating
identification,
mostly
taxonomically
complex
groups.
By
training
ML
models
with
extensive
datasets
accurately
identified
specimens,
can
learn
to
recognize
patterns
nematodes'
morphological
morphometric
features.
This
enables
them
make
precise
identifications
newly
encountered
individuals.
Implementing
algorithms
improve
speed
accuracy
identification
allow
researchers
efficiently
process
vast
amounts
data.
Furthermore,
it
empowers
non-taxonomists
reliable
identifications.
The
objective
this
study
evaluate
performance
identifying
free-living
marine
nematodes,
focusing
two
well-known
genera:
Acantholaimus
Allgén,
1933
Sabatieria
Rouville,
1903.A
total
40
60
were
considered.
measurements
obtained
from
original
publications
both
genera,
compilation
included
information
regarding
specific
characters,
as
well
To
assess
four
employed:
Random
Forest
(RF),
Stochastic
Gradient
Boosting
(SGBoost),
Support
Vector
Machine
(SVM)
linear
radial
kernels,
K-nearest
neighbor
(KNN)
algorithms.For
random
forest
(RF)
algorithm
demonstrated
highest
correctly
classifying
specimens
into
their
respective
achieving
an
rate
93%
100%
Sabatieria,
only
single
individual
test
data
was
misclassified.These
results
highlight
overall
effectiveness
identification.
Moreover,
demonstrates
that
nematodes
be
automated,
optimizing
biodiversity
ecological
studies,
turning
more
accessible,
efficient,
scalable.
Ultimately
will
contribute
our
understanding
conservation
biodiversity.
Chemistry & Biodiversity,
Journal Year:
2023,
Volume and Issue:
21(4)
Published: Nov. 6, 2023
The
widespread
and
indiscriminate
use
of
broad-spectrum
antibiotics
leads
to
microbial
resistance,
which
causes
major
problems
in
the
treatment
infectious
diseases.
However,
advances
nanotechnology
using
mushrooms
have
opened
up
new
domains
for
synthesis
nanoparticles
against
multidrug-resistant
pathogens.
Mushooms
recently
attracted
attention
are
exploited
food
medicinal
purposes.
current
study
focuses
on
molecular
identification,
characterization
biologically
synthesized
silver
by
X-ray
diffraction
(XRD)
spectroscopy,
Fourier
Transform
Infrared
Spectroscopy
(FTIR),
UV-Vis
spectroscopy
scanning
electron
microscopy
(SEM)
antibacterial
analysis
extract
(AgNPs)
from
Ganoderma
resinaceum
multidrug
resistant
microbes.
Accurate
identification
is
key
utilizing
them
benefit
humans.
morphological
time
consuming,
tedious
may
be
prone
error.
Molecular
techniques
quick
reliable
tools
that
useful
mushroom
taxonomy.
Blast
results
showed
G.
(GU451247)
obtained
Pakistan
was
97
%
same
recognized
China
as
well
India.
antimicrobial
potential
composite
AgNPs
high
efficacy
pathogenic
Staphylococcus
aureus
(ZOI
23
mm)
K.
pneumonia
20
mm),
Pseudomonas
aeruginosa
24
E.
fecalis
A.
baumannii
10
(MDR)
mm).
XRD
evaluation
revealed
crystalline
composition
NPs
with
diameter
45
nm.
obsorption
peaked
589
nm
confirmed
presence
AgNPs.
SEM
cubic
morphology
FTIR
containing
C=O
(O=C-H)
stretching
hydrogen,
carbonyl
amide
groups.
promising
minimum
inhibitory
concentration
(MIC)
at
2
mg
MDR
strains.
observed
efficient
they
need
less
quantities
prevent
bacterial
growth.
In
view
challenges
developing
variable
shape
size
various
other
methods,
tuning
via
can
a
wonderful
approach
resolve
existing
hurdles.
BIO Web of Conferences,
Journal Year:
2024,
Volume and Issue:
94, P. 01002 - 01002
Published: Jan. 1, 2024
Dietary
assessment
plays
a
crucial
role
in
comprehending
the
ecological
dynamics
and
nutritional
needs
of
herbivores
omnivores.
The
metabarcoding
technique
has
emerged
as
potent
tool
for
exploring
dietary
composition
these
animals.
However,
various
techniques
have
been
developed,
each
with
its
own
advantages
limitations.
This
study
aims
to
compare
performance
different
omnivores
diet.
We
systematically
reviewed
159
published
manuscripts
Scopus
Google
Scholar,
thematic
analysis
was
conducted
across
several
categories,
including
marker,
platform,
database
utilized.
Preliminary
findings
reveal
significant
variations
among
two
animal
groups.
trnL
gene
exhibited
higher
taxonomic
resolution
herbivorous
species,
whereas
combination
'trnL
+
16s
rRNA'
superior
omnivorous
species.
Illumina
platform
most
commonly
used
method
analyzing
diets
both
omnivores,
primary
reference
being
National
Centre
Biotechnology
Information
(NCBI).
offers
valuable
insights
into
strengths
limitations
optimizing
protocols,
facilitating
more
precise
reliable
diet
analyses
within