Although
high-throughput
sequencing,
such
as
Illumina-based
technologies
(e.g.
MiSeq),
has
revolutionized
microbial
ecology,
adaptation
of
amplicon
sequencing
for
environmental
community
analysis
is
challenging
due
to
the
problem
low
base
diversity.A
new
phasing
approach
(PAS)
was
developed
by
shifting
phases
among
different
samples
from
both
directions
via
adding
various
numbers
bases
(0-7)
spacers
forward
and
reverse
primers.
Our
results
first
indicated
that
PAS
method
substantially
ameliorated
unbalanced
composition.
Second,
improved
sequence
read
quality
(an
average
10
%
higher
above
Q30).
Third,
effectively
increased
raw
throughput
(~15
more
reads).
In
addition,
significantly
effective
reads
(9-47
%)
length
(16-96
bases)
after
trim
at
Q30
with
window
5.
reduced
half
errors
(0.54-1.1
less).
Finally,
two-step
PCR
amplification
biases
introduced
long
barcoded
primers.The
strategy
robust
16S
rRNA
gene
sequencing.
a
similar
could
also
be
used
other
genes
important
ecosystem
functional
processes.
PLoS ONE,
Год журнала:
2013,
Номер
8(4), С. e61217 - e61217
Опубликована: Апрель 22, 2013
Background
The
analysis
of
microbial
communities
through
DNA
sequencing
brings
many
challenges:
the
integration
different
types
data
with
methods
from
ecology,
genetics,
phylogenetics,
multivariate
statistics,
visualization
and
testing.
With
increased
breadth
experimental
designs
now
being
pursued,
project-specific
statistical
analyses
are
often
needed,
these
difficult
(or
impossible)
for
peer
researchers
to
independently
reproduce.
vast
majority
requisite
tools
performing
reproducibly
already
implemented
in
R
its
extensions
(packages),
but
limited
support
high
throughput
microbiome
census
data.
Results
Here
we
describe
a
software
project,
phyloseq,
dedicated
object-oriented
representation
R.
It
supports
importing
variety
common
formats,
as
well
techniques.
These
include
calibration,
filtering,
subsetting,
agglomeration,
multi-table
comparisons,
diversity
analysis,
parallelized
Fast
UniFrac,
ordination
methods,
production
publication-quality
graphics;
all
manner
that
is
easy
document,
share,
modify.
We
show
how
apply
functions
other
packages
phyloseq-represented
data,
illustrating
availability
large
number
open
source
discuss
use
phyloseq
reproducible
research,
practice
fields
still
rare
highly
parallel
have
made
available
materials
necessary
completely
reproduce
figures
included
this
article,
an
example
best
practices
research.
Conclusions
project
new
open-source
package,
freely
on
web
both
GitHub
Bioconductor.
PLoS ONE,
Год журнала:
2014,
Номер
9(8), С. e105592 - e105592
Опубликована: Авг. 21, 2014
For
the
analysis
of
microbial
community
structure
based
on
16S
rDNA
sequence
diversity,
sensitive
and
robust
PCR
amplification
is
a
critical
step.
To
obtain
accurate
composition
data,
must
be
free
bias;
however,
amplifying
all
species
with
equal
efficiency
from
sample
containing
large
variety
microorganisms
remains
challenging.
Here,
we
designed
universal
primer
V3-V4
hypervariable
region
prokaryotic
for
simultaneous
detection
Bacteria
Archaea
in
fecal
samples
crossbred
pigs
(Landrace
×
Large
white
Duroc)
using
an
Illumina
MiSeq
next-generation
sequencer.
In-silico
showed
that
newly
primers
matched
approximately
98.0%
94.6%
rRNA
gene
sequences
Ribosomal
Database
Project
database.
each
sequencing
reaction
performed
primer,
average
69,330
(±
20,482)
reads
were
obtained,
which
archaeal
genes
comprised
1.2%
to
3.2%
reads.
In
addition,
frequency
belonging
phylum
Verrucomicrobia,
including
members
classes
Verrucomicrobiae
Opitutae,
was
higher
NGS
than
bacterial
primer.
Importantly,
this
new
set
had
markedly
lower
bias
most
previously
primers.
Our
findings
demonstrate
present
study
will
permit
Archaea,
therefore
allow
more
comprehensive
understanding
structures
environmental
samples.
Plant
genomes
contribute
to
the
structure
and
function
of
plant
microbiome,
a
key
determinant
health
productivity.
High-throughput
technologies
are
revealing
interactions
between
these
complex
communities
their
hosts
in
unprecedented
detail.
Nucleic Acids Research,
Год журнала:
2014,
Номер
43(D1), С. D593 - D598
Опубликована: Ноя. 20, 2014
Microbiologists
utilize
ribosomal
RNA
genes
as
molecular
markers
of
taxonomy
in
surveys
microbial
communities.
rRNA
are
often
co-located
part
an
rrn
operon,
and
multiple
copies
this
operon
present
genomes
across
the
tree
life.
copy
number
variability
provides
valuable
insight
into
life
history,
but
introduces
systematic
bias
when
measuring
community
composition
surveys.
Here
we
update
to
database
(rrnDB),
a
publicly
available,
curated
resource
for
information
bacteria
archaea.
The
redesigned
rrnDB
(http://rrndb.umms.med.umich.edu/)
brings
substantial
increase
described,
improved
curation,
mapping
both
NCBI
RDP
taxonomies,
refined
tools
querying
analyzing
these
data.
With
changes,
is
better
positioned
remain
comprehensive
under
torrent
genome
sequencing.
enhanced
will
contribute
analysis
research
linking
genomic
characteristics
history.
Bioinformatics,
Год журнала:
2017,
Номер
34(8), С. 1287 - 1294
Опубликована: Дек. 5, 2017
Metagenomics
leads
to
major
advances
in
microbial
ecology
and
biologists
need
user
friendly
tools
analyze
their
data
on
own.This
Galaxy-supported
pipeline,
called
FROGS,
is
designed
large
sets
of
amplicon
sequences
produce
abundance
tables
Operational
Taxonomic
Units
(OTUs)
taxonomic
affiliation.
The
clustering
uses
Swarm.
chimera
removal
VSEARCH,
combined
with
original
cross-sample
validation.
affiliation
returns
an
innovative
multi-affiliation
output
highlight
databases
conflicts
uncertainties.
Statistical
results
numerous
graphical
illustrations
are
produced
along
the
way
monitor
pipeline.
FROGS
was
tested
for
detection
quantification
OTUs
real
silico
datasets
proved
be
rapid,
robust
highly
sensitive.
It
compares
favorably
widespread
mothur,
UPARSE
QIIME.Source
code
instructions
installation:
https://github.com/geraldinepascal/FROGS.git.
A
companion
website:
http://[email protected]
available
at
Bioinformatics
online.
ABSTRACT
Microbial
communities
typically
contain
many
rare
taxa
that
make
up
the
majority
of
observed
membership,
yet
contribution
this
microbial
“rare
biosphere”
to
community
dynamics
is
unclear.
Using
16S
rRNA
amplicon
sequencing
3,237
samples
from
42
time
series
nine
different
ecosystems
(air;
marine;
lake;
stream;
adult
human
skin,
tongue,
and
gut;
infant
brewery
wastewater
treatment),
we
introduce
a
new
method
detect
occasionally
become
very
abundant
(conditionally
[CRT])
then
quantify
their
contributions
temporal
shifts
in
structure.
We
discovered
CRT
made
1.5
28%
represented
broad
diversity
bacterial
archaeal
lineages,
explained
large
amounts
dissimilarity
(i.e.,
97%
Bray-Curtis
dissimilarity).
Most
were
detected
at
multiple
points,
though
also
identified
“one-hit
wonder”
only
one
point.
case
study
temperate
lake,
gained
additional
insights
into
ecology
by
comparing
routine
disturbance
events.
Our
results
reveal
contribute
greater
amount
than
apparent
low
proportional
abundances.
This
observation
was
true
across
wide
range
ecosystems,
indicating
these
are
essential
for
understanding
changes
over
time.
IMPORTANCE
processes
foundations
ecosystems.
The
ecological
roles
microorganisms
largely
unknown,
but
it
thought
they
stability
acting
as
reservoir
can
rapidly
respond
environmental
changes.
investigated
occurrence
more
prominent
(“conditionally
rare”).
quantified
conditionally
variety
not
present
all
examples,
contributed
disproportionately
when
most
abundant.
result
indicates
an
important
general
role
within
communities.
Accumulating
evidence
suggests
that
the
gut
microbiota
is
an
important
factor
in
mediating
development
of
obesity-related
metabolic
disorders,
including
type
2
diabetes.
Metformin
and
berberine,
two
clinically
effective
drugs
for
treating
diabetes,
have
recently
been
shown
to
exert
their
actions
through
modulating
microbiota.
In
this
study,
we
demonstrated
metformin
berberine
similarly
shifted
overall
structure
rats.
Both
showed
reverting
effects
on
high-fat
diet-induced
structural
changes
The
diversity
was
significantly
reduced
by
both
berberine-
metformin-treatments.
Nearest
shrunken
centroids
analysis
identified
134
operational
taxonomic
units
(OTUs)
responding
treatments,
which
close
associations
with
obese
phenotypes.
Sixty
out
OTUs
were
decreased
drugs,
while
those
belonging
putative
short-chain
fatty
acids
(SCFA)-producing
bacteria,
Allobaculum,
Bacteriodes,
Blautia,
Butyricoccus,
Phascolarctobacterium,
markedly
increased
and,
a
lesser
extent,
metformin.
Taken
together,
our
findings
suggest
similarity
microbiota,
enrichment
SCFA-producing
bacteria
reduction
microbial
diversity,
may
contribute
beneficial
host.