Frontiers in Microbiology,
Journal Year:
2020,
Volume and Issue:
11
Published: Oct. 23, 2020
One
of
the
major
methods
to
identify
microbial
community
composition,
unravel
population
dynamics,
and
explore
diversity
in
environmental
samples
is
high-throughput
DNA-
or
RNA-based
16S
rRNA
(gene)
amplicon
sequencing
combination
with
bioinformatics
analyses.
However,
focusing
on
from
contrasting
habitats,
it
was
not
systematically
evaluated
i.)
which
analysis
provide
results
that
reflect
reality
most
accurately,
ii.)
how
interpretations
studies
are
biased
by
different
iii.)
if
optimal
workflow
can
be
implemented
an
easy-to-use
pipeline.
Here,
we
compared
performance
tools
(i.e.
Mothur,
QIIME1,
QIIME2,
MEGAN)
using
three
mock
datasets
known
composition
differed
quality,
species
number
abundance
distribution
even
uneven),
phylogenetic
closely
related
well-separated
sequences).
Our
showed
QIIME2
outcompeted
all
other
investigated
sequence
recovery
(>10
times
fewer
false
positives),
taxonomic
assignments
(>22%
better
F-score)
estimates
(>5%
assessment),
suggesting
this
approach
able
situ
accurately.
Further
24
obtained
four
terrestrial
freshwater
sites
revealed
dramatic
differences
resulting
for
pipelines
at
genus
level.
For
instance,
river
water
Sphaerotilus
only
reported
when
QIIME1
(8%
abundance)
Agitococcus
(2%
3%
abundance,
respectively),
but
both
genera
remained
undetected
analyzed
Mothur
MEGAN.
Since
these
abundant
taxa
probably
have
implications
important
biogeochemical
cycles
(e.g.
nitrate
sulfate
reduction)
sites,
their
detection
semi-quantitative
enumeration
crucial
valid
interpretations.
A
high-performance
computing
conformant
constructed
allow
FAIR
(Findable,
Accessible,
Interoperable,
Re-usable)
starting
raw
files,
identified
our
study.
presented
should
considered
future
studies,
thereby
facilitating
data
substantially,
while
maximizing
reliability
confidence
analysis.
Agronomy for Sustainable Development,
Journal Year:
2022,
Volume and Issue:
42(1)
Published: Jan. 27, 2022
Abstract
Reducing
pesticide
use
has
become
a
goal
shared
by
several
European
countries
and
major
issue
in
public
policies
due
to
the
negative
impacts
of
pesticides
on
environment
human
health.
However,
since
most
agri-food
sector
relies
these
countries,
substantially
reducing
is
complex
issue.
To
overcome
this
situation,
we
argue
that
agricultural
research
role
play
must
adopt
pesticide-free
paradigm
expect
deep
impact
use.
In
article,
explain
why
new
needed
outline
fronts
it
will
help
address.
These
are
related
five
strategies:
(1)
redesigning
cropping
systems
enhance
prophylaxis,
(2)
diversifying
biocontrol
strategies
associated
business
models,
(3)
broadening
scope
plant
breeding
include
functional
biodiversity
evolutionary
ecology
concepts,
(4)
setting
goals
for
machinery
digital
technologies,
(5)
supporting
development
private
initiatives
transition
toward
systems.
The
corresponding
activities
be
managed
conjointly
develop
systemic
coupled
innovations,
which
essential
significantly.
We
therefore
provide
examples
cross-cutting
objectives
combine
while
also
highlighting
need
interdisciplinary
projects.
By
doing
so,
an
overall
orientation
achieve
sustainable
agriculture.
Environmental Microbiology,
Journal Year:
2020,
Volume and Issue:
22(4), P. 1327 - 1340
Published: Feb. 18, 2020
Summary
Despite
the
important
roles
of
soil
microbes,
especially
most
diverse
rare
taxa
in
maintaining
community
diversity
and
multifunctionality,
how
different
climate
regimes
alter
stability
functions
microbial
biosphere
remains
unknown.
We
reciprocally
transplanted
field
soils
across
a
latitudinal
gradient
to
simulate
change
sampled
annually
after
harvesting
maize
over
following
6
years
(from
2005
2011).
By
sequencing
16S
ribosomal
RNA
gene
amplicons,
we
found
that
changing
significantly
altered
composition
dynamics
communities.
A
continuous
succession
abundant
communities
was
observed.
Rare
were
more
stable
under
climatic
regimes,
with
lower
variations
temporal
dynamics,
higher
constancy
diversity.
More
nitrogen
cycling
genes
detected
members
than
members,
including
amoA
,
napA
nifH
nirK
nirS
norB
nrfA
.
Random
forest
analysis
receiver
operating
characteristics
showed
may
act
as
potential
contributors
yield
climatics.
The
study
indicates
taxonomically
functionally
has
increase
functional
redundancy
enhance
ability
counteract
environmental
disturbances.
With
ongoing
global
change,
exploring
process
changes
be
elucidating
ecosystem
multifunctionality
are
mediated
by
Environment International,
Journal Year:
2020,
Volume and Issue:
142, P. 105869 - 105869
Published: June 25, 2020
Microbial
taxa
within
complex
ecological
networks
can
be
classified
by
their
universal
roles
based
on
level
of
connectivity
with
other
taxa.
Highly
connected
an
network
(kinless
hubs)
are
theoretically
expected
to
support
higher
levels
ecosystem
functions
than
less
(peripherals).
Empirical
evidence
the
role
kinless
hubs
in
regulating
functional
potential
soil
microbial
communities,
however,
is
largely
unexplored
and
poorly
understood
agricultural
ecosystems.
Here,
we
built
a
correlation
fungal
bacterial
using
large-scale
survey
consisting
243
samples
across
functionally
economically
important
ecosystems
(wheat
maize);
found
that
relative
abundance
as
positively
significantly
correlated
genes
including
for
C
fixation,
degradation,
methanol,
N
cycling,
P
cycling
S
cycling.
Structural
equation
modeling
multiple
properties
further
indicated
hubs,
but
not
provincial,
connector
or
peripheral
taxa,
had
direct
significant
positive
relationships
genes.
Our
findings
provide
novel
associated
high
potential,
implications
understanding
managing
(through
manipulating
key
species)
at
large
spatial
scale.
PLoS Biology,
Journal Year:
2019,
Volume and Issue:
17(2), P. e3000106 - e3000106
Published: Feb. 4, 2019
The
global
diversity
of
Bacteria
and
Archaea,
the
most
ancient
widespread
forms
life
on
Earth,
is
a
subject
intense
controversy.
This
controversy
stems
largely
from
fact
that
existing
estimates
are
entirely
based
theoretical
models
or
extrapolations
small
biased
data
sets.
Here,
in
an
attempt
to
census
bulk
Earth's
bacterial
archaeal
("prokaryotic")
clades
estimate
their
overall
richness,
we
analyzed
over
1.7
billion
16S
ribosomal
RNA
amplicon
sequences
V4
hypervariable
region
obtained
492
studies
worldwide,
covering
multitude
environments
using
multiple
alternative
primers.
From
this
set,
recovered
739,880
prokaryotic
operational
taxonomic
units
(OTUs,
16S-V4
gene
clusters
at
97%
similarity),
commonly
used
measure
microbial
richness.
Using
several
statistical
approaches,
there
exist
globally
about
0.8-1.6
million
OTUs,
which
somewhere
between
47%-96%,
representing
>99.98%
cells.
Consistent
with
conclusion,
our
set
independently
"recaptured"
91%-93%
previous
surveys,
including
PCR-independent
metagenomic
surveys.
distribution
relative
OTU
abundances
consistent
log-normal
model
observed
larger
organisms;
total
number
OTUs
predicted
by
also
richness
estimates.
By
combining
ratio
full-length
versus
partial-length
(V4)
sequence
SILVA
database,
further
2.2-4.3
worldwide.
When
restricting
analysis
Americas,
while
controlling
for
studies,
obtain
similar
as
suggesting
distributed.
Qualitatively
results
other
similarity
thresholds
(90%,
95%,
99%).
Our
constrain
extent
poorly
quantified
rare
biosphere
refute
recent
predictions
trillions
OTUs.
Frontiers in Microbiology,
Journal Year:
2020,
Volume and Issue:
11
Published: Oct. 23, 2020
One
of
the
major
methods
to
identify
microbial
community
composition,
unravel
population
dynamics,
and
explore
diversity
in
environmental
samples
is
high-throughput
DNA-
or
RNA-based
16S
rRNA
(gene)
amplicon
sequencing
combination
with
bioinformatics
analyses.
However,
focusing
on
from
contrasting
habitats,
it
was
not
systematically
evaluated
i.)
which
analysis
provide
results
that
reflect
reality
most
accurately,
ii.)
how
interpretations
studies
are
biased
by
different
iii.)
if
optimal
workflow
can
be
implemented
an
easy-to-use
pipeline.
Here,
we
compared
performance
tools
(i.e.
Mothur,
QIIME1,
QIIME2,
MEGAN)
using
three
mock
datasets
known
composition
differed
quality,
species
number
abundance
distribution
even
uneven),
phylogenetic
closely
related
well-separated
sequences).
Our
showed
QIIME2
outcompeted
all
other
investigated
sequence
recovery
(>10
times
fewer
false
positives),
taxonomic
assignments
(>22%
better
F-score)
estimates
(>5%
assessment),
suggesting
this
approach
able
situ
accurately.
Further
24
obtained
four
terrestrial
freshwater
sites
revealed
dramatic
differences
resulting
for
pipelines
at
genus
level.
For
instance,
river
water
Sphaerotilus
only
reported
when
QIIME1
(8%
abundance)
Agitococcus
(2%
3%
abundance,
respectively),
but
both
genera
remained
undetected
analyzed
Mothur
MEGAN.
Since
these
abundant
taxa
probably
have
implications
important
biogeochemical
cycles
(e.g.
nitrate
sulfate
reduction)
sites,
their
detection
semi-quantitative
enumeration
crucial
valid
interpretations.
A
high-performance
computing
conformant
constructed
allow
FAIR
(Findable,
Accessible,
Interoperable,
Re-usable)
starting
raw
files,
identified
our
study.
presented
should
considered
future
studies,
thereby
facilitating
data
substantially,
while
maximizing
reliability
confidence
analysis.