Methods in Ecology and Evolution,
Journal Year:
2017,
Volume and Issue:
8(9), P. 1081 - 1091
Published: Jan. 28, 2017
Summary
Accurate
knowledge
of
species
occurrence
is
fundamental
to
a
wide
variety
ecological,
evolutionary
and
conservation
applications.
Assessing
the
presence
or
absence
at
sites
often
complicated
by
imperfect
detection,
with
different
mechanisms
potentially
contributing
false‐negative
and/or
false‐positive
errors
sampling
stages.
Ambiguities
in
data
mean
that
estimation
relevant
parameters
might
be
confounded
unless
additional
information
available
resolve
those
uncertainties.
Here,
we
consider
analysis
detection
multiple
levels.
We
develop
examine
two‐stage
occupancy‐detection
model
for
this
purpose.
use
profile
likelihoods
identifiability
estimation,
study
types
required
reliable
estimation.
test
simulated
data,
then
analyse
from
environmental
DNA
(
eDNA
)
surveys
four
Australian
frog
species.
In
our
case
study,
false
positives
may
arise
due
contamination
water
sample
quantitative
PCR
‐sample
levels,
whereas
negatives
not
being
captured
field
sample,
sensitivity
laboratory
tests.
augment
survey
aural
calibration
experiments.
demonstrate
identifiable
if
only
prone
are
available.
At
least
two
sources
extra
(e.g.
records
method
unambiguous
detections,
experiment).
Alternatively,
can
achieved
setting
plausible
bounds
on
rates
as
prior
Bayesian
setting.
The
results
matched
simulations
respect
requirements,
revealed
greater
than
zero
all
provide
statistical
modelling
tools
account
uncertainties
when
could
occur
Such
needed
support
management
policy
decisions.
Dealing
these
traditional
methods,
but
also
promising
new
techniques,
such
sampling.
Molecular Ecology,
Journal Year:
2015,
Volume and Issue:
25(2), P. 527 - 541
Published: Nov. 19, 2015
Abstract
Preserving
biodiversity
is
a
global
challenge
requiring
data
on
species’
distribution
and
abundance
over
large
geographic
temporal
scales.
However,
traditional
methods
to
survey
mobile
in
marine
environments
are
often
inefficient,
environmentally
destructive,
or
resource‐intensive.
Metabarcoding
of
environmental
DNA
(
eDNA
)
offers
new
means
assess
much
larger
scales,
but
adoption
this
approach
for
surveying
whole
animal
communities
large,
dynamic
aquatic
systems
has
been
slowed
by
significant
unknowns
surrounding
error
rates
detection
relevant
spatial
resolution
surveys.
Here,
we
report
the
results
2.5
km
transect
vertebrate
fauna
present
along
gradation
diverse
habitats
associated
with
kelp
forest
ecosystem.
Using
PCR
primers
that
target
mitochondrial
12S
rRNA
gene
fishes
mammals,
generated
sequence
compared
it
simultaneous
visual
dive
We
find
concordance
between
individual
trends,
able
distinguish
community
assemblages
from
separated
as
little
~60
m.
reliably
detected
vertebrates
low
false‐negative
(1/12
taxa)
when
surveys,
revealed
cryptic
species
known
occupy
overlooked
methods.
This
study
also
presents
an
explicit
accounting
false
negatives
positives
metabarcoding
data,
which
illustrate
influence
marker
selection,
replication,
contamination,
biases
impacting
count
ecology
open
Ecography,
Journal Year:
2016,
Volume and Issue:
40(2), P. 281 - 295
Published: June 20, 2016
Building
useful
models
of
species
distributions
requires
attention
to
several
important
issues,
one
being
imperfect
detection
species.
Data
sets
detections
are
likely
suffer
from
false
absence
records.
Depending
on
the
type
survey,
positive
records
can
also
be
a
problem.
Disregarding
these
observation
errors
may
lead
biases
in
model
estimation
as
well
overconfidence
about
precision.
The
severity
problem
depends
intensity
and
how
they
correlate
with
environmental
characteristics
(e.g.
where
detectability
strongly
habitat
features).
A
powerful
modelling
framework
that
accounts
for
has
developed
last
10–15
yr.
Fundamental
this
is
data
must
collected
way
informative
process.
For
instance,
such
form
multiple
detection/non‐detection
obtained
visits/observers/detection
methods
at
(at
least)
some
sites,
or
times
within
survey
visit.
extend
studying
species’
range
dynamics
communities,
approaches
analysing
abundance
occupancy
states
(rather
than
binary
presence/absence).
This
paper
summarizes
advances,
discusses
evidence
effects
difficulties
working
it,
concludes
current
outlook
future
research
application
methods.
New Phytologist,
Journal Year:
2017,
Volume and Issue:
214(3), P. 924 - 942
Published: April 3, 2017
Contents
924
I.
925
II.
III.
927
IV.
929
V.
930
VI.
VII.
931
VIII.
933
IX.
935
X.
936
XI.
938
References
SUMMARY:
Recent
advances
in
sequencing
technologies
now
permit
the
analyses
of
plant
DNA
from
fossil
samples
(ancient
DNA,
aDNA),
and
thus
enable
molecular
reconstruction
palaeofloras.
Hitherto,
ancient
frozen
soils
have
proved
excellent
preserving
molecules,
been
most
commonly
used
source
aDNA.
However,
soil
mainly
represents
taxa
growing
a
few
metres
sampling
point.
Lakes
larger
catchment
areas
recent
studies
suggested
that
aDNA
lake
sediments
is
more
powerful
tool
for
palaeofloristic
reconstruction.
Furthermore,
lakes
can
be
found
globally
nearly
all
environments,
are
therefore
not
limited
to
perennially
areas.
Here,
we
review
latest
approaches
methods
study
discuss
progress
made
up
present.
We
argue
add
new
additional
perspectives
populations
and,
time,
will
provide
higher
taxonomic
resolution
precise
estimation
abundance.
Despite
this,
key
questions
challenges
remain
such
studies.
Finally,
guidelines
on
technical
issues,
including
selection,
suggest
directions
future
research
sediments.
Nature Communications,
Journal Year:
2020,
Volume and Issue:
11(1)
Published: Jan. 14, 2020
Abstract
Environmental
DNA
(eDNA)
analysis
allows
the
simultaneous
examination
of
organisms
across
multiple
trophic
levels
and
domains
life,
providing
critical
information
about
complex
biotic
interactions
related
to
ecosystem
change.
Here
we
used
multilocus
amplicon
sequencing
eDNA
survey
biodiversity
from
an
eighteen-month
(2015–2016)
time-series
seawater
samples
Monterey
Bay,
California.
The
resulting
dataset
encompasses
663
taxonomic
groups
(at
Family
or
higher
rank)
ranging
microorganisms
mammals.
We
inferred
changes
in
composition
communities,
revealing
putative
among
taxa
identifying
correlations
between
these
communities
environmental
properties
over
time.
Community
network
provided
evidence
expected
predator-prey
relationships,
linkages,
seasonal
shifts
all
life.
conclude
that
eDNA-based
analyses
can
provide
detailed
marine
dynamics
identify
sensitive
biological
indicators
suggest
inform
conservation
strategies.
GigaScience,
Journal Year:
2019,
Volume and Issue:
8(8)
Published: July 30, 2019
Abstract
Trap-based
surveillance
strategies
are
widely
used
for
monitoring
of
invasive
insect
species,
aiming
to
detect
newly
arrived
exotic
taxa
as
well
track
the
population
levels
established
or
endemic
pests.
Where
these
traps
have
low
specificity
and
capture
non-target
species
in
excess
target
pests,
need
extensive
specimen
sorting
identification
creates
a
major
diagnostic
bottleneck.
While
recent
development
standardized
molecular
diagnostics
has
partly
alleviated
this
requirement,
single
per
reaction
nature
methods
does
not
readily
scale
sheer
number
insects
trapped
programmes.
Consequently,
lists
often
restricted
few
high-priority
allowing
unanticipated
avoid
detection
potentially
establish
populations.
DNA
metabarcoding
recently
emerged
method
conducting
simultaneous,
multi-species
complex
mixed
communities
may
lend
itself
ideally
rapid
bulk
trap
samples.
Moreover,
high-throughput
sequencing
platforms
could
enable
multiplexing
hundreds
diverse
samples
on
flow
cell,
thereby
providing
means
dramatically
up
terms
both
quantity
that
can
be
processed
concurrently
pest
targeted.
In
review
literature,
we
explore
how
tailored
context
highlight
unique
technical
regulatory
challenges
must
considered
when
implementing
technologies
into
sensitive
applications.
PLoS ONE,
Journal Year:
2017,
Volume and Issue:
12(4), P. e0176343 - e0176343
Published: April 25, 2017
Molecular
analysis
of
environmental
DNA
(eDNA)
can
be
used
to
assess
vertebrate
biodiversity
in
aquatic
systems,
but
limited
work
has
applied
eDNA
technologies
marine
waters.
Further,
there
is
understanding
the
spatial
distribution
Here,
we
use
an
metabarcoding
approach
target
and
amplify
a
hypervariable
region
mitochondrial
12S
rRNA
gene
characterize
communities
at
10
oceanographic
stations
spanning
45
km
within
Monterey
Bay
National
Marine
Sanctuary
(MBNMS).
In
this
study,
collected
three
biological
replicates
small
volume
water
samples
(1
L)
2
depths
each
stations.
We
amplified
fish
using
universal
primer
set.
obtained
5,644,299
high
quality
Illumina
sequence
reads
from
samples.
The
were
annotated
lowest
taxonomic
assignment
bioinformatics
pipeline.
survey
identified,
rank,
7
families,
3
subfamilies,
genera,
72
species
vertebrates
study
sites.
These
92
distinct
taxa
come
33
unique
families.
observed
significantly
different
community
composition
between
sampling
(0
m
20/40
deep)
across
all
located
on
continental
shelf
(<200
bottom
depth)
versus
deeper
waters
canyons
(>200
depth).
All
1
family
identified
known
occur
MBNMS.
informs
implementation
for
biomonitoring.
Molecular Ecology Resources,
Journal Year:
2018,
Volume and Issue:
18(5), P. 927 - 939
Published: May 24, 2018
DNA
metabarcoding
is
an
increasingly
popular
method
to
characterize
and
quantify
biodiversity
in
environmental
samples.
Metabarcoding
approaches
simultaneously
amplify
a
short,
variable
genomic
region,
or
"barcode,"
from
broad
taxonomic
group
via
the
polymerase
chain
reaction
(PCR),
using
universal
primers
that
anneal
flanking
conserved
regions.
Results
of
these
experiments
are
reported
as
occurrence
data,
which
provide
list
taxa
amplified
sample,
relative
abundance
measure
contribution
each
taxon
overall
composition
product.
The
accuracy
both
estimates
can
be
affected
by
variety
biological
technical
biases.
For
example,
with
larger
biomass
may
better
represented
samples
than
those
smaller
biomass.
Here,
we
explore
how
choice,
potential
source
bias,
might
influence
results
experiments.
We
compared
biases
six
commercially
available
polymerases
combination
mixtures
amplifiable
synthetic
sequences
real
sedimentary
extracts.
find
choice
affect
main
this
bias
appears
preference
for
specific
GC
contents.
further
recommend
experimental
approach
based
on
our
Molecular Ecology Resources,
Journal Year:
2016,
Volume and Issue:
16(3), P. 604 - 607
Published: April 7, 2016
Environmental
DNA
(
eDNA
)
and
metabarcoding
are
boosting
our
ability
to
acquire
data
on
species
distribution
in
a
variety
of
ecosystems.
Nevertheless,
as
most
sampling
approaches,
is
not
perfect.
It
can
fail
detect
that
actually
present,
even
false
positives
possible:
may
be
apparently
detected
areas
where
it
absent.
Controlling
remains
main
challenge
for
analyses:
this
issue
Molecular
Ecology
Resources,
Lahoz‐Monfort
et
al
.
test
the
performance
multiple
statistical
modelling
approaches
estimate
rate
detection
from
data.
Here,
we
discuss
importance
controlling
early
steps
analyses
(laboratory,
bioinformatics),
improve
quality
results
allow
an
efficient
use
site
occupancy‐detection
SODM
framework
limiting
presences
analysis.