Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
15(3)
Published: March 1, 2025
Phytoplankton
is
the
basis
of
food
web
and
an
indicator
environmental
change
in
aquatic
ecosystems.
assessment
uses
microscopy,
which
estimates
composition,
absolute
abundance
biomass
taxa,
metabarcoding,
high
richness
diversity,
relative
taxa.
Problems
remain
with
consistency
results
from
these
two
methods
quantification
metabarcoding.
Using
18S
rRNA
metabarcoding
microscopy
we
compared
or
phytoplankton
taxa
(class
genus/species)
south
basin
Lake
Baikal
spring
over
3
years.
Absolute
abundance/biomass
estimated
by
was
obtained
combining
abundances
amplicon
sequence
variants
(ASV
produced
error-correcting
method)
derived
V8-V9
region
gene
sequencing
(primers
were
used
that
accurately
represented
mean
different
microalgae)
total
class-specific
light
microscopy.
Many
Spearman
correlations
found
between
(non-
clr-transformed)
abundances/biomasses
same
classes
genus/species.
Correlation
coefficients
higher
values
than
values.
Correlations
abundance/biomass,
both
methods,
Bacillariophyceae,
Coscinodiscophyceae,
Mediophyceae,
Chrysophyceae,
Cryptophyceae,
Chlorophyceae,
but
not
Dinophyceae
Trebouxiophyceae.
dominant
species
ASVs
diatoms
(Ulnaria,
Aulacoseira,
Stephanodiscus),
Chrysophyceae
(Dinobryon),
Cryptophyceae
(Cryptomonas).
Thus,
dynamics
revealed.
combination
improve
accuracy
metabarcoding-based
ecological
assessment.
Molecular Ecology Resources,
Journal Year:
2022,
Volume and Issue:
22(8), P. 3188 - 3201
Published: June 28, 2022
In
recent
years,
metabarcoding
has
become
the
method
of
choice
for
investigating
composition
and
assembly
microbial
eukaryotic
communities.
The
number
environmental
data
sets
published
increased
very
rapidly.
Although
unprocessed
sequence
files
are
often
publicly
available,
processed
data,
in
particular
clustered
sequences,
rarely
available
a
usable
format.
Clustered
sequences
reported
as
operational
taxonomic
units
(OTUs)
with
different
similarity
levels
or
more
recently
amplicon
variants
(ASVs).
This
hampers
comparative
studies
between
environments
sets,
example
examining
biogeographical
patterns
specific
groups/species,
well
analysing
genetic
microdiversity
within
these
groups.
Here,
we
present
newly-assembled
database
18S
rRNA
metabarcodes
that
annotated
PR2
reference
database.
database,
called
metaPR2
,
contains
41
corresponding
to
than
4000
samples
90,000
ASVs.
which
is
accessible
through
both
web-based
interface
(https://shiny.metapr2.org)
an
R
package,
should
prove
useful
all
researchers
working
on
protist
diversity
variety
systems.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Aug. 16, 2023
Abstract
Research
in
extreme
environments
has
substantially
expanded
our
understanding
of
the
ecology
and
evolution
life
on
Earth,
but
a
major
group
organisms
been
largely
overlooked:
microbial
eukaryotes
(i.e.,
protists).
In
this
Perspective,
we
summarize
data
from
over
80
studies
protists
identify
focal
lineages
that
are
significant
interest
for
further
study,
including
clades
within
Echinamoebida,
Heterolobosea,
Radiolaria,
Haptophyta,
Oomycota,
Cryptophyta.
We
argue
prime
sampling
targets
to
fill
gaps
eukaryotic
tree
increase
ecology,
metabolism,
genome
architecture,
life.
Aquatic Conservation Marine and Freshwater Ecosystems,
Journal Year:
2025,
Volume and Issue:
35(2)
Published: Feb. 1, 2025
ABSTRACT
Molecular
traces
are
increasingly
being
applied
to
assess
the
presence
of
species
and
communities.
Studies
on
environmental
DNA
(eDNA)
have,
a
large
extent,
become
common
practice
in
detection,
but
less
studies
have
compared
biodiversity
estimations
with
more
temporary
RNA
(eRNA).
This
study
compares
metabarcoding
results
from
pond
water
obtained
both
molecule
types
by
sequencing
V4
region
18S
rRNA
marker.
Water
was
collected
two
depths,
20
80
cm,
filtered
sequentially
through
filter
porosities,
0.45
0.22
μm.
Each
cut
half
before
fixation
either
96%
ETOH
or
RNAlater.
The
showed
no
differences
between
fixatives
for
molecule.
Overall,
estimates
eDNA
significantly
overperformed
eRNA,
likely
due
higher
concentrations
terrestrial
sources.
Comparisons
depths
variation
only,
increasing
levels
found
at
upper
layer.
Both
pore
sizes
captured
distinctive
compositions
taxa,
where
about
30%
diversity
uniquely
identified
second,
finer
filter.
Taken
together,
these
findings
imply
that
choice
molecular
marker,
depth
size
affects
pond.
Molecular Ecology,
Journal Year:
2023,
Volume and Issue:
32(13), P. 3497 - 3512
Published: April 17, 2023
Abstract
Despite
being
the
most
important
source
of
liquid
freshwater
on
planet,
groundwater
is
severely
threatened
by
climate
change,
agriculture,
or
industrial
mining.
It
thus
extensively
monitored
for
pollutants
and
declines
in
quantity.
The
organisms
living
groundwater,
however,
are
rarely
target
surveillance
programmes
little
known
about
fauna
inhabiting
underground
habitats.
difficulties
accessing
lack
expertise,
apparent
scarcity
these
challenge
sampling
prohibit
adequate
knowledge
fauna.
Environmental
DNA
(eDNA)
metabarcoding
provides
an
approach
to
overcome
limitations
but
largely
unexplored.
Here,
we
sampled
water
20
communal
spring
catchment
boxes
used
drinking
provisioning
Switzerland,
with
a
high
level
replication
at
both
filtration
amplification
steps.
We
sequenced
portion
COI
mitochondrial
gene,
which
resulted
4917
ASVs,
yet
only
3%
reads
could
be
assigned
species,
genus,
family
more
than
90%
identity.
Careful
evaluation
unassigned
corroborated
that
sequences
were
true
belonging
mostly
diverse
eukaryotic
groups,
not
present
reference
databases.
Principal
component
analyses
showed
strong
correlation
community
composition
surface
land‐use
(agriculture
vs.
forest)
geology
(fissured
rock
unconsolidated
sediment).
While
incomplete
databases
limit
assignment
taxa
eDNA
metabarcoding,
taxonomy‐free
approaches
can
reveal
large
hidden
diversity
couple
it
major
drivers,
revealing
their
imprint
chemical
biological
properties
groundwater.
Biological reviews/Biological reviews of the Cambridge Philosophical Society,
Journal Year:
2024,
Volume and Issue:
99(4), P. 1218 - 1241
Published: Feb. 13, 2024
ABSTRACT
The
nature
and
extent
of
diversity
in
the
plankton
has
fascinated
scientists
for
over
a
century.
Initially,
discovery
many
new
species
remarkably
uniform
unstructured
pelagic
environment
appeared
to
challenge
concept
ecological
niches.
Later,
it
became
obvious
that
only
fraction
had
been
formally
described,
because
assemblages
are
dominated
by
understudied
eukaryotic
lineages
with
small
size
lack
clearly
distinguishable
morphological
features.
high
confirmed
comprehensive
metabarcoding
surveys,
but
interpretation
underlying
molecular
taxonomies
is
hindered
insufficient
integration
genetic
taxonomy
observations.
Here
we
use
planktonic
foraminifera
as
study
model
reveal
full
their
investigate
geographical
patterns
distribution.
To
this
end,
assembled
global
data
set
~7600
ribosomal
DNA
sequences
obtained
from
morphologically
characterised
individual
foraminifera,
established
robust
taxonomic
framework
observed
diversity,
used
query
covering
~1700
samples
~2.48
billion
reads.
This
allowed
us
extract
assign
1
million
reads,
enabling
characterisation
structure
group
across
~1100
oceanic
stations
worldwide.
Our
sampling
revealed
existence
of,
at
most,
94
distinct
operational
units
(MOTUs)
level
divergence
indicative
biological
species.
doubles
number
described
identified
Furthermore,
allocation
morphospecies
uneven.
Only
16
disguise
evolutionarily
significant
proportion
show
increases
poleward.
Finally,
observe
MOTUs
have
narrower
geographic
distribution
than
some
cases
belonging
same
(cryptic
species)
different
environmental
preferences.
Overall,
our
analysis
reveals
even
light
sampling,
modest
finite.
However,
cryptic
diversification
decoupled
diversification,
hinting
mechanisms
acting
levels
divergence.