Molecular Ecology Resources,
Journal Year:
2018,
Volume and Issue:
19(2), P. 366 - 376
Published: Nov. 28, 2018
Abstract
Effective
biomonitoring
is
critical
for
driving
management
outcomes
that
ensure
long‐term
sustainability
of
the
marine
environment.
In
recent
years,
environmental
DNA
(eDNA),
coupled
with
metabarcoding
methodologies,
has
emerged
as
a
promising
tool
generating
biotic
surveys
ecosystems,
including
those
under
anthropogenic
pressure.
However,
more
empirical
data
are
needed
on
how
to
best
implement
eDNA
field
sampling
approaches
maximize
their
utility
each
specific
application.
The
effect
substrate
chosen
diversity
taxa
detected
by
not
yet
been
systematically
analysed,
despite
aquatic
systems
being
most
commonly
targeted
studies.
We
investigated
four
used
substrates
explore
taxonomic
diversity:
(a)
surface
water,
(b)
sediment,
(c)
settlement
plates
and
(d)
planktonic
tows.
With
focus
coastal
ports,
332
samples
from
Australia
(Indian
Southern
oceans)
Kazakhstan
(Caspian
Sea)
were
collected
analysed
multi‐assay
metabarcoding.
Across
study
locations,
between
30%
52%
eukaryotic
families
unique
particular
<6%
found
in
all
substrates.
Taxonomic
composition
varied
significantly
depending
sampled
implying
suitability
(and
bias)
an
will
depend
focal
taxa.
These
findings
demonstrate
single
likely
underestimates
total
diversity.
Future
experimental
design
should
consider
incorporating
multiple
or
select
substrate(s)
suited
detection
target
Molecular Ecology,
Journal Year:
2017,
Volume and Issue:
26(21), P. 5872 - 5895
Published: Sept. 18, 2017
The
genomic
revolution
has
fundamentally
changed
how
we
survey
biodiversity
on
earth.
High-throughput
sequencing
("HTS")
platforms
now
enable
the
rapid
of
DNA
from
diverse
kinds
environmental
samples
(termed
"environmental
DNA"
or
"eDNA").
Coupling
HTS
with
our
ability
to
associate
sequences
eDNA
a
taxonomic
name
is
called
"eDNA
metabarcoding"
and
offers
powerful
molecular
tool
capable
noninvasively
surveying
species
richness
many
ecosystems.
Here,
review
use
metabarcoding
for
animal
plant
richness,
challenges
in
using
approaches
estimate
relative
abundance.
We
highlight
applications
freshwater,
marine
terrestrial
environments,
this
broad
context,
distill
what
known
about
different
sample
types
approximate
space
across
time.
provide
guiding
questions
study
design
discuss
workflow
focus
primers
library
preparation
methods.
additionally
important
criteria
consideration
bioinformatic
filtering
data
sets,
recommendations
increasing
transparency.
Finally,
looking
future,
emerging
ecology,
conservation,
invasion
biology,
biomonitoring,
can
empower
citizen
science
education.
Conservation Genetics,
Journal Year:
2015,
Volume and Issue:
17(1), P. 1 - 17
Published: Sept. 8, 2015
Environmental
DNA
(eDNA)
refers
to
the
genetic
material
that
can
be
extracted
from
bulk
environmental
samples
such
as
soil,
water,
and
even
air.
The
rapidly
expanding
study
of
eDNA
has
generated
unprecedented
ability
detect
species
conduct
analyses
for
conservation,
management,
research,
particularly
in
scenarios
where
collection
whole
organisms
is
impractical
or
impossible.
While
number
studies
demonstrating
successful
detection
increased
recent
years,
less
research
explored
"ecology"
eDNA—myriad
interactions
between
extraorganismal
its
environment—and
influence
on
detection,
quantification,
analysis,
application
conservation
research.
Here,
we
outline
a
framework
understanding
ecology
eDNA,
including
origin,
state,
transport,
fate
material.
Using
this
framework,
review
synthesize
findings
diverse
environments,
taxa,
fields
highlight
important
concepts
knowledge
gaps
application.
Additionally,
identify
frontiers
conservation-focused
see
most
potential
growth,
use
estimating
population
size,
genomic
via
inclusion
other
indicator
biomolecules
RNA
proteins,
automated
sample
consideration
an
expanded
array
creative
samples.
We
discuss
how
more
complete
integral
advancing
these
maximizing
future
applications
Methods in Ecology and Evolution,
Journal Year:
2017,
Volume and Issue:
9(1), P. 134 - 147
Published: July 1, 2017
Abstract
Metabarcoding
of
environmental
samples
has
many
challenges
and
limitations
that
require
carefully
considered
laboratory
analysis
workflows
to
ensure
reliable
results.
We
explore
how
decisions
regarding
study
design,
set‐up,
bioinformatic
processing
affect
the
final
results,
provide
guidelines
for
samples.
evaluate
performance
four
primer
sets
targeting
COI
16S
regions
characterizing
arthropod
diversity
in
bat
faecal
samples,
investigate
metabarcoding
results
are
affected
by
parameters
including:
(1)
number
PCR
replicates
per
sample,
(2)
sequencing
depth,
(3)
replicate
strategy
(i.e.
either
additively,
combining
sequences
obtained
from
replicates,
or
restrictively,
only
retaining
occur
multiple
each
sample),
(4)
minimum
copy
be
retained,
(5)
chimera
removal,
(6)
similarity
thresholds
Operational
Taxonomic
Unit
(
OTU
)
clustering.
Lastly,
we
measure
within‐
between‐taxa
dissimilarities
when
using
public
databases
determine
most
appropriate
clustering
taxonomy
assignment.
Our
show
use
reduces
taxonomic
biases
increases
coverage.
profiles
resulting
set
principally
carried
out
sample
filtered
across
them,
sequence
threshold
threshold.
also
report
considerable
differences
between
sample.
Sequencing
depth
dissimilarity
unless
strategies
remove
allegedly
artefactual
adjusted
according
analysed
sequences.
Finally,
identity
assignment
differ
markers.
complex
ideally
requires
investigation
whether
more
than
one
same
group
is
needed
offset
biases,
balance
detection
with
removal
sequences,
empirical
selection
tailored
marker
taxa.
Molecular Ecology,
Journal Year:
2018,
Volume and Issue:
28(2), P. 391 - 406
Published: June 2, 2018
Abstract
Advances
in
DNA
sequencing
technology
have
revolutionized
the
field
of
molecular
analysis
trophic
interactions,
and
it
is
now
possible
to
recover
counts
food
sequences
from
a
wide
range
dietary
samples.
But
what
do
these
mean?
To
obtain
an
accurate
estimate
consumer's
diet
should
we
work
strictly
with
data
sets
summarizing
frequency
occurrence
different
taxa,
or
use
relative
number
sequences?
Both
approaches
are
applied
semi‐quantitative
summaries,
but
often
promoted
as
more
conservative
reliable
option
due
taxa‐specific
biases
recovery
sequences.
We
explore
representative
metabarcoding
point
out
that
summaries
based
on
overestimate
importance
consumed
small
quantities
(potentially
including
low‐level
contaminants)
sensitive
count
threshold
used
define
occurrence.
Our
simulations
indicate
using
read
abundance
(
RRA
)
information
provides
view
population‐level
even
moderate
incorporated;
however,
impacting
common
taxa.
when
mean
taxa
samples
small.
The
ideas
presented
here
highlight
need
consider
all
sources
bias
justify
methods
interpret
studies.
encourage
researchers
continue
addressing
methodological
challenges
acknowledge
unanswered
questions
help
spur
future
investigations
this
rapidly
developing
area
research.
Scientific Reports,
Journal Year:
2017,
Volume and Issue:
7(1)
Published: Sept. 19, 2017
Abstract
Effective
marine
management
requires
comprehensive
data
on
the
status
of
biodiversity.
However,
efficient
methods
that
can
document
biodiversity
in
our
oceans
are
currently
lacking.
Environmental
DNA
(eDNA)
sourced
from
seawater
offers
a
new
avenue
for
investigating
biota
ecosystems.
Here,
we
investigated
potential
eDNA
to
inform
breadth
present
tropical
environment.
Directly
sequencing
using
shotgun
approach
resulted
only
0.34%
22.3
million
reads
assigning
eukaryotes,
highlighting
inefficiency
this
method
assessing
eukaryotic
diversity.
In
contrast,
‘tree
life’
(ToL)
metabarcoding
and
20-fold
fewer
reads,
could
detect
287
families
across
major
divisions
eukaryotes.
Our
also
show
best
performing
‘universal’
PCR
assay
recovered
44%
eukaryotes
identified
all
assays,
need
multiple
assays
catalogue
Lastly,
focusing
fish
genus
Lethrinus
,
intra-
inter-specific
haplotypes
samples,
illustrating
be
used
explore
diversity
beyond
taxon
identifications.
Given
sensitivity
low
cost
advocate
rapidly
integrated
into
biomonitoring
programs.
PLoS ONE,
Journal Year:
2016,
Volume and Issue:
11(11), P. e0165252 - e0165252
Published: Nov. 16, 2016
Remote
polar
and
deepwater
fish
faunas
are
under
pressure
from
ongoing
climate
change
increasing
fishing
effort.
However,
these
communities
difficult
to
monitor
for
logistic
financial
reasons.
Currently,
monitoring
of
marine
fishes
largely
relies
on
invasive
techniques
such
as
bottom
trawling,
official
reporting
global
catches,
which
can
be
unreliable.
Thus,
there
is
need
alternative
non-invasive
qualitative
quantitative
oceanic
surveys.
Here
we
report
environmental
DNA
(eDNA)
metabarcoding
seawater
samples
continental
slope
depths
in
Southwest
Greenland.
We
collected
at
188-918
m
compared
eDNA
catch
data
trawling.
used
Illumina
sequencing
PCR
products
demonstrate
that
reads
show
equivalence
obtained
Twenty-six
families
were
found
with
both
trawling
eDNA,
while
three
only
two
Key
commercial
species
Greenland
the
most
abundant
biomass
catch,
interpolation
abundances
between
sampling
sites
showed
good
correspondence
sizes.
Environmental
sequence
assemblages
correlated
abundance
Interestingly,
shark
(Somniosus
microcephalus)
high
despite
a
single
specimen
being
caught,
demonstrating
relevance
approach
large
probably
avoid
trawls
cases.
Quantitative
detection
using
remains
tested
further
ascertain
whether
this
technique
able
yield
credible
results
routine
application
fisheries.
Nevertheless,
our
study
demonstrates
proxy
habitats.
This
relates
directly
applied
fisheries
well
effects
biodiversity-especially
ecosystems.
Molecular Ecology,
Journal Year:
2019,
Volume and Issue:
28(8), P. 1857 - 1862
Published: April 1, 2019
DNA
metabarcoding,
especially
when
coupled
with
high-throughput
sequencing,
is
currently
revolutionizing
our
capacity
to
assess
biodiversity
across
a
full
range
of
taxa
and
habitats,
from
soil
microbes
(e.g.,
Thompson
et
al.,
2017)
large
marine
fish
Thomsen
2016),
contemporary
tens
thousands
year-old
biological
communities
Willerslev
2003).
The
breadth
potential
applications
immense
spans
surveys
on
the
diversity
or
diet
species
native
specific
ecosystems
bioindication
(Pawlowski
2018).
approach
also
cost-effective
easy
implement,
which
makes
metabarcoding
one
tools
choice
21st
century
for
fundamental
research
future
large-scale
monitoring
programs
(reviewed
in
Bohan
2017;
Creer
2016;
Taberlet,
Bonin,
Zinger,
&
Coissac,
2018;
Willerslev,
2015).
However,
as
often
case
any
emerging
technology,
we
feel
that
rise
occurring
at
pace
manner
loses
sight
challenges
producing
high-quality
reproducible
data
(Baker,
2016).
by
essence
multidisciplinary
building
upon
many
complementary
expertises,
including
field
theoretical
knowledge,
taxonomic
expertise,
molecular
biology,
bioinformatics,
computational
statistics.
Combining
all
these
within
single
studies
necessary,
not
so
much
analyzing
per
se,
but
rather
minimizing
controlling
possible
biases
can
be
introduced
step
experimental
workflow—i.e.,
sampling
analysis—and
lead
spurious
ecological
conclusions
Bálint
Nilsson
2019;
Dickie
Taberlet
Whether
starting
material
consists
bulk
samples
(community
DNA)
and/or
environmental
(eDNA),
rely
deceptively
simple
succession
core
steps:
(a)
preservation
material,
(b),
extraction,
(c)
PCR
amplification
taxonomically-informative
genomic
region,
(d)
sequencing
amplicons,
(e)
sequence
analysis
using
bioinformatic
pipelines.
Despite
this
apparent
simplicity,
each
potentially
introduce
its
own
sources
artifacts
(Figure
1).
For
example,
design
might
effective
capturing
processes
under
study,
an
undesired
bias
based
detection.
availability
governed
production
rate,
transport
persistence,
are
largely
dependent
targeted
organisms,
their
biomass,
ecosystem
considered.
A
correct
assessment
phenomenon
require
only
implementation
standardized
standardized,
randomized
repeatable
designs
procedures
(Dickie
2018),
consideration
dynamics
underlying
matrix
(i.e.,
gut,
faeces,
water
matrices
tropical
boreal
organisms/ecosystems;
Barnes
Turner,
Likewise,
community
study
enriched
purpose
depending
how
sample
collected
filter
size
samples,
removal
roots
soils),
it
transported/preserved,
extracted
(differential
extraction
efficiencies).
well
known
important
source
biases,
now
fully
revealed
techniques.
preferential
certain
over
other
ones
due
inappropriate
primers
provides
such
example
(Clarke,
Soubrier,
Weyrich,
Cooper,
2014;
Deagle,
Jarman,
Pompanon,
2014).
Primer
both
skew
abundance
profiles
false
negatives.
produce
negatives
too
through
presence
e.g.,
inhibitors,
positives
introduction
replication
errors
polymerase
formation
chimeric
fragments
False
workflow
reagent
contaminants
(Salter
2014),
extractions
cross-contaminations.
An
even
more
insidious
pertains
occurrence
"tag
jumps",
sometimes
referred
"mistagging",
"tag-switching",
"cross-talks"
(Carlsen
2012;
Edgar,
Esling,
Lejzerowicz,
Pawlowski,
2015;
Schnell,
Bohmann,
Gilbert,
amplicons
indeed
tagged
unique
short
nucleotide
sequences
added
5'-end
"tags"),
allow
pooling
PCRs
run
reducing
costs.
Each
obtained
then
bioinformatically
assigned
back
origin
basis
tags
(Schnell
preparation
libraries
tag
particular
fact
recombined
belonging
another
(Taberlet
This
introduces
additional,
non-negligible
levels
cross-contaminations,
primarily
involve
most
abundant
have
disproportionate
impact
low
concentrations
(Esling
Murray,
Coghlan,
Bunce,
Schnell
Similarly,
Illumina
index
located
P5
adaptor
subjected
"index
resulting
cross-contaminations
happens
several
individual
pooled
loaded
same
lane
(Kircher,
Sawyer,
Meyer,
2012).
Finally,
instruments
error
rates
(Schirmer
above
list
problems
clearly
exhaustive,
interested
reader
will
find
complete
reviews
elsewhere
(e.g.
Still,
illustrates
must
considered
carefully
designing
protocol
interpreting
results.
crucial
limit
downstream
analyses,
ensure
conclusion
drawn
authentic.
There
increasingly
diverse
field,
laboratory
Caporaso
2011;
Valentini
2009)
bioinformatics
Boyer
2010;
Dumbrell,
Ferguson,
Clark,
2016)
aiming
amount
partial
sampling,
bias)
contaminations,
"tag/index
errors)
experiments.
protocols
does
necessarily
guarantee
problem
completely
control.
These
continuously
reconsidered,
alongside
emergence
novel
technologies
provide
new
opportunities,
challenges.
Additionally,
marker
comes
specificities,
requires
customization
protocols.
clustering
threshold
used
form
Molecular
Operational
Taxonomic
Units
relevant
question
addressed
removing
intraspecific
variability
level
desired)
critically
depend
specificities
PCR/sequencing
rates.
Bioinformatics
further
fail
exclude
filtering
thresholds
relaxed,
inflates
estimates.
they
generate
negatives,
genuine
metabarcode
falsely
flagged
chimera,
incorrect
taxon
incomplete
reference
databases
(Alsos
Riaz,
Puillandre,
problematic
investigated
strongly
relies
It
therefore
include
types
controls
facilitate
exclusion
signal
support
reliability
Amongst
controls,
conducting
pilot
experiments
particularly
helpful
appropriate
We
recommend
replicates
multiple
independent
samples)
technical
extractions/PCR
extract)
included
disentangle
effect
variances
(Ficetola
replications
necessary
because
stochastic
manner,
concentration
target
low.
essential
analyze
sufficient
number
negative
PCR,
steps,
positive
consisting
mock
communities,
synthetic
reflecting
attributes
products
All
sequenced
along
detection
sporadic
contaminations
jumps
while
helping
adjusting
thresholds.
Ultimately,
token
whole
curation
process
(De
Barba
encourage
careful
itself,
since
steps
curate
study.
Typically,
given
may
deriving
tag/index
jumps.
retained
thus
artifacts,
depth.
As
different
direct
measurements
better
tuning
considerations
should
precisely
reported
publications
together
illustrations
statistics
characterizing
workflow,
relevance
quality
underpinning
conclusions.
last,
obvious
control
assessing
plausibility
composition
priori
knowledge
system
studied.
Such
derived
sensing
approaches
visual
observations.
In
case,
exhaustive
local
specimens
secure
assignment
Alsos
When
information
unavailable,
typically
studying
microorganisms,
remains
whether
composed
clades
expected
occur
surveyed
not,
soils,
sediments,
gut
environments
harbour
highly
bacterial
phyla
2017).
users,
readers,
referees
editors,
realize
mentioned
issues
remain
overlooked.
stance
unsubstantiated
claims
undermine
scientific
advances
if
resolved.
Inappropriate
practices
estimating
richness
fingerprint
(Bent
2007),
absence
(Prosser,
2010),
contaminant
(Perez-Muñoz,
Arrieta,
Ramer-Tait,
Walter,
been
repeatedly
criticized
microbial
ecology,
latter
contribute
rising
debate
about
existence
womb
microbiota.
Ancient
has
developed
rigorous
standards
tackle
related
contamination,
errors,
reproducibility
(Poinar
2000).
believe
users
come
age
learnt
past
errors.
At
time
guides
best
subject
(Knight
Pollock,
Glendinning,
Wisedchanwet,
Watson,
where
costs
rapidly
decreasing,
always
mindful
adage
"better
safe
than
sorry".
note
mean
imply
systematic
use
highest
analytical
reasonable
nor
universal
remedy
associated
metabarcoding.
Rather,
researchers
end-users
adopt
reflective
decision-making
experiment
appraise
results,
ultimate
aim
prove
robustness
Nature Communications,
Journal Year:
2017,
Volume and Issue:
8(1)
Published: Jan. 18, 2017
Abstract
The
use
of
environmental
DNA
(eDNA)
in
biodiversity
assessments
offers
a
step-change
sensitivity,
throughput
and
simultaneous
measures
ecosystem
diversity
function.
There
remains,
however,
need
to
examine
eDNA
persistence
the
wild
through
temporal
biota.
Here,
we
metabarcoding
two
markers
different
lengths,
derived
from
an
annual
time
series
aqueous
lake
shifts
ecologically
important
group
macroinvertebrates
(Diptera:
Chironomidae).
analyses
allow
levels
detection
validation
taxon
richness
community
composition
(β-diversity)
time,
with
shorter
fragments
dominating
community.
Comparisons
between
eDNA,
DNA,
taxonomy
UK
species
abundance
data
further
show
significant
relationships
estimates
across
disparate
methodologies.
Our
results
reveal
dynamics
validate
utility
for
tracking
seasonal
at
scale.
Frontiers in Microbiology,
Journal Year:
2015,
Volume and Issue:
6
Published: Sept. 25, 2015
Water
quality
is
an
emergent
property
of
a
complex
system
comprised
interacting
microbial
populations
and
introduced
chemical
contaminants.
Studies
leveraging
next-generation
sequencing
(NGS)
technologies
are
providing
new
insights
into
the
ecology
microbially
mediated
processes
that
influence
fresh
water
such
as
algal
blooms,
contaminant
biodegradation,
pathogen
dissemination.
In
addition,
methods
targeting
small
subunit
(SSU)
rRNA
hypervariable
regions
have
allowed
identification
signature
species
serve
bioindicators
for
sewage
contamination
in
these
environments.
Beyond
amplicon
sequencing,
metagenomic
metatranscriptomic
analyses
communities
environments
reveal
genetic
capabilities
interplay
waterborne
microorganisms,
shedding
light
on
mechanisms
production
biodegradation
toxins
other
This
review
discusses
challenges
benefits
applying
NGS-based
to
research
assessment.
We
will
consider
suitability
biases
inherent
application
NGS
screening
tool
assessment
biological
risks
discuss
potential
limitations
direct
quantitative
interpretation
data.
Secondly,
we
examine
case
studies
from
recent
literature
where
based
been
applied
topics
assessment,
including
development
pollution
source
tracking,
characterizing
distribution
toxin
antibiotic
resistance
genes
samples,
investigating
harmful
pollutants
threaten
quality.
Finally,
provide
short
emerging
platforms
their
applications
next
generation
tools.
Molecular Ecology Resources,
Journal Year:
2018,
Volume and Issue:
19(2), P. 426 - 438
Published: Dec. 21, 2018
While
in
recent
years
environmental
DNA
(eDNA)
metabarcoding
surveys
have
shown
great
promise
as
an
alternative
monitoring
method,
the
integration
into
existing
marine
programs
may
be
confounded
by
dispersal
of
eDNA
signal.
Currents
and
tidal
influences
could
transport
over
distances,
inducing
false-positive
species
detection,
leading
to
inaccurate
biodiversity
assessments
and,
ultimately,
mismanagement
environments.
In
this
study,
we
determined
ability
distinguish
localized
signals
obtained
from
four
habitats
within
a
small
spatial
scale
(<5
km)
subject
significant
along-shore
water
flow.
Our
survey
detected
86
genera,
77
families
across
11
phyla
using
three
established
assays
targeting
fish
(16S
rRNA
gene),
crustacean
gene)
eukaryotic
(cytochrome
oxidase
subunit
1)
diversity.
Ordination
cluster
analyses
for
both
taxonomic
OTU
data
sets
show
distinct
between
sampled
habitats,
suggesting
among
was
limited.
Individual
taxa
with
strong
habitat
preferences
displayed
accordance
their
respective
habitat,
whereas
known
less
habitat-specific
generated
more
ubiquitous
signals.
add
evidence
that
environments
detect
broad
range
are
spatially
discrete.
work
also
highlights
refinement
assay
choice
is
essential
realize
full
potential
programs.