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.
Ecology Letters,
Journal Year:
2017,
Volume and Issue:
20(10), P. 1295 - 1305
Published: Sept. 17, 2017
The
relationship
between
soil
microbial
communities
and
the
resistance
of
multiple
ecosystem
functions
linked
to
C,
N
P
cycling
(multifunctionality
resistance)
global
change
has
never
been
assessed
globally
in
natural
ecosystems.
We
collected
soils
from
59
dryland
ecosystems
worldwide
investigate
importance
as
predictor
multifunctionality
climate
nitrogen
fertilisation.
Multifunctionality
had
a
lower
wetting-drying
cycles
than
warming
or
deposition.
was
regulated
by
changes
composition
(relative
abundance
phylotypes)
but
not
richness,
total
fungi
bacteria
fungal:
bacterial
ratio.
Our
results
suggest
that
positive
effects
particular
taxa
on
could
potentially
be
controlled
altering
pH.
Together,
our
work
demonstrates
strong
links
community
six
continents,
provides
insights
into
for
buffering
drylands
worldwide.
Global Change Biology,
Journal Year:
2020,
Volume and Issue:
26(8), P. 4506 - 4520
Published: April 23, 2020
Abstract
Soil
communities
are
intricately
linked
to
ecosystem
functioning,
and
a
predictive
understanding
of
how
assemble
in
response
environmental
change
is
great
ecological
importance.
Little
known
about
the
assembly
processes
governing
abundant
rare
fungal
across
agro‐ecosystems,
particularly
with
regard
their
adaptation.
By
considering
taxa,
we
tested
thresholds
phylogenetic
signals
for
preferences
complex
gradients
reflect
adaptation,
explored
factors
influencing
based
on
large‐scale
soil
survey
agricultural
fields
eastern
China.
We
found
that
taxa
exhibited
remarkably
broader
stronger
compared
taxa.
Neutral
played
key
role
shaping
subcommunity
subcommunity.
Null
model
analysis
revealed
was
less
clustered
phylogenetically
governed
primarily
by
dispersal
limitation,
while
homogeneous
selection
major
process
available
sulfur
factor
mediating
balance
between
stochastic
deterministic
both
subcommunities,
as
indicated
an
increase
stochasticity
higher
concentration.
Based
macroecological
spatial
scale
datasets,
our
study
potential
adaptation
identified
distinct
community
fields.
These
results
contribute
mechanisms
underlying
generation
maintenance
diversity
global
change.
Microbiome,
Journal Year:
2018,
Volume and Issue:
6(1)
Published: Dec. 1, 2018
Plant
phenology
has
crucial
biological,
physical,
and
chemical
effects
on
the
biosphere.
Phenological
drivers
have
largely
been
studied,
but
role
of
plant
microbiota,
particularly
rhizosphere
not
considered.
We
discovered
that
microbial
communities
could
modulate
timing
flowering
Arabidopsis
thaliana.
Rhizosphere
microorganisms
increased
prolonged
N
bioavailability
by
nitrification
delayed
converting
tryptophan
to
phytohormone
indole
acetic
acid
(IAA),
thus
downregulating
genes
trigger
flowering,
stimulating
further
growth.
The
addition
IAA
hydroponic
cultures
confirmed
this
metabolic
network.
document
a
novel
network
in
which
soil
microbiota
influenced
time,
shedding
light
key
functioning.
This
opens
up
multiple
opportunities
for
application,
from
helping
mitigate
some
climate
change
environmental
stress
plants
(e.g.
abnormal
temperature
variation,
drought,
salinity)
manipulating
characteristics
using
inocula
increase
crop
potential.
Proceedings of the National Academy of Sciences,
Journal Year:
2021,
Volume and Issue:
118(51)
Published: Dec. 3, 2021
The
term
"core
microbiome"
has
become
widely
used
in
microbial
ecology
over
the
last
decade.
Broadly,
core
microbiome
refers
to
any
set
of
taxa,
or
genomic
and
functional
attributes
associated
with
those
that
are
characteristic
a
host
environment
interest.
Most
commonly,
microbiomes
measured
as
taxa
shared
among
two
more
samples
from
particular
environment.
Despite
popularity
this
its
growing
use,
there
is
little
consensus
about
how
should
be
quantified
practice.
Here,
we
present
brief
history
concept
use
representative
sample
literature
review
different
metrics
commonly
for
quantifying
core.
Empirical
analyses
have
wide
range
microbiome,
including
arbitrary
occurrence
abundance
cutoff
values,
focal
taxonomic
level
ranging
phyla
amplicon
sequence
variants.
However,
many
these
susceptible
sampling
other
biases.
Developing
standardized
accounts
such
biases
necessary
testing
specific
hypotheses
ecological
roles
microbiomes.
Annual Review of Ecology Evolution and Systematics,
Journal Year:
2019,
Volume and Issue:
50(1), P. 145 - 168
Published: July 24, 2019
Microorganisms
drive
several
processes
needed
for
robust
plant
growth
and
health.
Harnessing
microbial
functions
is
thus
key
to
productive
sustainable
food
production.
Molecular
methods
have
led
a
greater
understanding
of
the
soil
microbiome
composition.
However,
translating
species
or
gene
composition
into
functionality
remains
challenge.
Community
ecology
concepts
such
as
biodiversity–ecosystem
functioning
framework
may
help
predict
assembly
function
plant-associated
microbiomes.
Higher
diversity
can
increase
number
resilience
plant-beneficial
that
be
coexpressed
unlock
expression
traits
are
hard
obtain
from
any
in
isolation.
We
combine
well-established
community
with
molecular
microbiology
workable
enable
us
enhance
promote
global
change
context.
Environmental Microbiology,
Journal Year:
2019,
Volume and Issue:
22(3), P. 1052 - 1065
Published: Oct. 10, 2019
Summary
The
factors
determining
stochastic
and
deterministic
processes
that
drive
microbial
community
structure,
specifically
the
balance
of
abundant
rare
bacterial
taxa,
remain
underexplored.
Here
we
examined
biogeographic
patterns
taxa
explored
environmental
influencing
their
assembly
in
agricultural
fields
across
eastern
China.
More
phylogenetic
turnover
correlating
with
spatial
distance
was
observed
than
sub‐communities.
Homogeneous
selection
main
process
for
both
sub‐communities;
however,
sub‐community
more
tightly
clustered
phylogenetically
sensitive
to
dispersal
limitations
sub‐community.
Rare
rice
maize
were
governed
by
processes,
which
showed
higher
operational
taxonomic
unit
richness.
We
propose
a
conceptual
paradigm
wherein
soil
pH
mean
annual
temperature
mediate
sub‐communities
respectively.
A
leads
For
sub‐community,
dominance
stochasticity
low‐temperature
regions
indicates
weaker
niche‐based
exclusion
arrival
evolutionary
lineages.
These
findings
suggest
are
dependent
on
distinct
variables
agro‐ecosystems.
Journal of Animal Ecology,
Journal Year:
2020,
Volume and Issue:
89(7), P. 1549 - 1558
Published: April 5, 2020
Abstract
The
host‐associated
core
microbiome
was
originally
coined
to
refer
common
groups
of
microbes
or
genes
that
were
likely
be
particularly
important
for
host
biological
function.
However,
the
term
has
evolved
encompass
variable
definitions
across
studies,
often
identifying
key
with
respect
their
spatial
distribution,
temporal
stability
ecological
influence,
as
well
contribution
function
and
fitness.
A
major
barrier
reaching
a
consensus
over
how
define
its
relevance
biological,
evolutionary
theory
is
lack
precise
terminology
associated
definitions,
persistent
association
Common,
microbiomes
can
together
generate
insights
into
processes
act
independently
function,
while
functional
host‐adapted
cores
distinguish
between
facultative
near‐obligate
symbionts
differ
in
effects
on
This
commentary
summarizes
five
broad
have
been
applied
literature,
highlighting
strengths
limitations
advancing
our
understanding
host–microbe
systems,
noting
where
they
are
overlap,
discussing
potential
No
one
definition
capture
range
population.
Applied
together,
reveal
different
layers
microbial
organization
from
which
we
begin
understand
govern
interactions.