Abstract
Background
During
a
period
of
rapid
growth
in
our
understanding
the
microbiology
built
environment
recent
years,
majority
research
has
focused
on
bacteria
and
fungi.
Viruses,
while
probably
as
numerous,
have
received
less
attention.
In
response,
Alfred
P.
Sloan
Foundation
supported
workshop
entitled
“Viruses
Built
Environment
(VIBE),”
at
which
experts
environmental
engineering,
microbiology,
epidemiology,
infection
prevention,
fluid
dynamics,
occupational
health,
metagenomics,
virology
convened
to
synthesize
advances
identify
key
questions
knowledge
gaps
regarding
viruses
environment.
Results
Four
primary
areas
funding
priorities
were
identified.
First,
better
viral
communities
is
needed,
specifically
are
present
their
sources,
spatial
temporal
interactions
with
bacteria.
Second,
more
information
needed
about
including
transmission
environment,
relationship
between
virus
detection
exposure,
definition
healthy
virome.
The
third
priority
evaluate
interventions
for
controlling
virome
This
encompasses
among
viruses,
buildings,
occupants.
Finally,
overcome
challenge
working
participants
emphasized
that
improved
sampling
methods,
laboratory
techniques,
bioinformatics
approaches
advance
Conclusions
We
hope
identifying
these
will
engage
other
investigators
agencies
spur
future
highly
interdisciplinary
topic
There
numerous
opportunities
knowledge,
many
topics
remain
underexplored
compared
Nature Biotechnology,
Год журнала:
2020,
Номер
39(5), С. 578 - 585
Опубликована: Дек. 21, 2020
Abstract
Millions
of
new
viral
sequences
have
been
identified
from
metagenomes,
but
the
quality
and
completeness
these
vary
considerably.
Here
we
present
CheckV,
an
automated
pipeline
for
identifying
closed
genomes,
estimating
genome
fragments
removing
flanking
host
regions
integrated
proviruses.
CheckV
estimates
by
comparing
with
a
large
database
complete
including
76,262
systematic
search
publicly
available
metatranscriptomes
metaviromes.
After
validation
on
mock
datasets
comparison
to
existing
methods,
applied
diverse
collections
metagenome-assembled
sequences,
IMG/VR
Global
Ocean
Virome.
This
revealed
44,652
high-quality
genomes
(that
is,
>90%
complete),
although
vast
majority
were
small
fragments,
which
highlights
challenge
assembling
short-read
metagenomes.
Additionally,
found
that
removal
contamination
substantially
improved
accurate
identification
auxiliary
metabolic
genes
interpretation
viral-encoded
functions.
Viruses
are
a
significant
player
in
many
biosphere
and
human
ecosystems,
but
most
signals
remain
"hidden"
metagenomic/metatranscriptomic
sequence
datasets
due
to
the
lack
of
universal
gene
markers,
database
representatives,
insufficiently
advanced
identification
tools.Here,
we
introduce
VirSorter2,
DNA
RNA
virus
tool
that
leverages
genome-informed
advances
across
collection
customized
automatic
classifiers
improve
accuracy
range
detection.
When
benchmarked
against
genomes
from
both
isolated
uncultivated
viruses,
VirSorter2
uniquely
performed
consistently
with
high
(F1-score
>
0.8)
viral
diversity,
while
all
other
tools
under-detected
viruses
outside
group
represented
reference
databases
(i.e.,
those
order
Caudovirales).
Among
evaluated,
was
also
able
minimize
errors
associated
atypical
cellular
sequences
including
eukaryotic
plasmids.
Finally,
as
virosphere
exploration
unravels
novel
sequences,
VirSorter2's
modular
design
makes
it
inherently
expand
new
types
via
maintain
maximal
sensitivity
specificity.With
multi-classifier
design,
demonstrates
higher
overall
major
groups
will
advance
our
knowledge
evolution,
virus-microbe
interaction
various
ecosystems.
Source
code
is
freely
available
(
https://bitbucket.org/MAVERICLab/virsorter2
),
on
bioconda
an
iVirus
app
CyVerse
https://de.cyverse.org/de
).
Video
abstract.
Viruses
are
central
to
microbial
community
structure
in
all
environments.
The
ability
generate
large
metagenomic
assemblies
of
mixed
and
viral
sequences
provides
the
opportunity
tease
apart
complex
microbiome
dynamics,
but
these
analyses
currently
limited
by
tools
available
for
genomes
assessing
their
metabolic
impacts
on
microbiomes.Here
we
present
VIBRANT,
first
method
utilize
a
hybrid
machine
learning
protein
similarity
approach
that
is
not
reliant
sequence
features
automated
recovery
annotation
viruses,
determination
genome
quality
completeness,
characterization
function
from
assemblies.
VIBRANT
uses
neural
networks
signatures
newly
developed
v-score
metric
circumvents
traditional
boundaries
maximize
identification
lytic
integrated
proviruses,
including
highly
diverse
viruses.
highlights
auxiliary
genes
pathways,
thereby
serving
as
user-friendly
platform
evaluating
function.
was
trained
validated
reference
virus
datasets
well
virome
data.VIBRANT
showed
superior
performance
recovering
higher
viruses
concurrently
reduced
false
non-viral
fragments
comparison
other
programs,
specifically
VirSorter,
VirFinder,
MARVEL.
When
applied
120,834
metagenome-derived
representing
several
human
natural
environments,
recovered
an
average
94%
whereas
MARVEL
achieved
less
powerful
performance,
averaging
48%,
87%,
71%,
respectively.
Similarly,
identified
more
total
proteins
when
real
metagenomes.
compared
PHASTER,
Prophage
Hunter,
VirSorter
extract
provirus
regions
host
scaffolds,
performed
comparably
even
proviruses
programs
did
not.
To
demonstrate
applications
studied
viromes
associated
with
Crohn's
disease
show
specific
groups,
namely
Enterobacteriales-like
putative
dysbiosis
abundant
healthy
individuals,
providing
possible
link
maintenance
diseased
states.The
accurately
recover
explore
metabolism
will
greatly
advance
our
understanding
microbiomes,
host-microbe
interactions,
ecosystem
dynamics.
Video
Abstract.
Nucleic Acids Research,
Год журнала:
2020,
Номер
48(16), С. 8883 - 8900
Опубликована: Июль 22, 2020
Abstract
Microbial
and
viral
communities
transform
the
chemistry
of
Earth's
ecosystems,
yet
specific
reactions
catalyzed
by
these
biological
engines
are
hard
to
decode
due
absence
a
scalable,
metabolically
resolved,
annotation
software.
Here,
we
present
DRAM
(Distilled
Refined
Annotation
Metabolism),
framework
translate
deluge
microbiome-based
genomic
information
into
catalog
microbial
traits.
To
demonstrate
applicability
across
diverse
genomes,
evaluated
performance
on
defined,
in
silico
soil
community
previously
published
human
gut
metagenomes.
We
show
that
accurately
assigned
contributions
geochemical
cycles
automated
partitioning
carbohydrate
metabolism
at
substrate
levels.
DRAM-v,
mode
DRAM,
established
rules
identify
virally-encoded
auxiliary
metabolic
genes
(AMGs),
resulting
categorization
thousands
putative
AMGs
from
soils
guts.
Together
DRAM-v
provide
critical
profiling
capabilities
decipher
mechanisms
underpinning
microbiome
function.
Protein & Cell,
Год журнала:
2020,
Номер
12(5), С. 315 - 330
Опубликована: Май 11, 2020
Abstract
Advances
in
high-throughput
sequencing
(HTS)
have
fostered
rapid
developments
the
field
of
microbiome
research,
and
massive
datasets
are
now
being
generated.
However,
diversity
software
tools
complexity
analysis
pipelines
make
it
difficult
to
access
this
field.
Here,
we
systematically
summarize
advantages
limitations
methods.
Then,
recommend
specific
for
amplicon
metagenomic
analyses,
describe
commonly-used
databases,
help
researchers
select
appropriate
tools.
Furthermore,
introduce
statistical
visualization
methods
suitable
analysis,
including
alpha-
beta-diversity,
taxonomic
composition,
difference
comparisons,
correlation,
networks,
machine
learning,
evolution,
source
tracing,
common
styles
informed
choices.
Finally,
a
step-by-step
reproducible
guide
is
introduced.
We
hope
review
will
allow
carry
out
data
more
effectively
quickly
order
efficiently
mine
biological
significance
behind
data.
Cell,
Год журнала:
2021,
Номер
184(4), С. 1098 - 1109.e9
Опубликована: Фев. 1, 2021
Bacteriophages
drive
evolutionary
change
in
bacterial
communities
by
creating
gene
flow
networks
that
fuel
ecological
adaptions.
However,
the
extent
of
viral
diversity
and
its
prevalence
human
gut
remains
largely
unknown.
Here,
we
introduce
Gut
Phage
Database,
a
collection
∼142,000
non-redundant
genomes
(>10
kb)
obtained
mining
dataset
28,060
globally
distributed
metagenomes
2,898
reference
cultured
bacteria.
Host
assignment
revealed
is
highest
Firmicutes
phyla
∼36%
clusters
(VCs)
are
not
restricted
to
single
species,
across
phylogenetically
distinct
species.
Epidemiological
analysis
uncovered
280
VCs
found
at
least
5
continents
highly
prevalent
phage
clade
with
features
reminiscent
p-crAssphage.
This
high-quality,
large-scale
catalog
will
improve
future
virome
studies
enable
bacteriophages.
Viruses,
Год журнала:
2021,
Номер
13(3), С. 506 - 506
Опубликована: Март 18, 2021
Bacteriophage
(phage)
taxonomy
has
been
in
flux
since
its
inception
over
four
decades
ago.
Genome
sequencing
put
pressure
on
the
classification
system
and
recent
years
have
seen
significant
changes
to
phage
taxonomy.
Here,
we
reflect
state
of
provide
a
roadmap
for
future,
including
abolition
order
Caudovirales
families
Myoviridae,
Podoviridae,
Siphoviridae.
Furthermore,
specify
guidelines
demarcation
species,
genus,
subfamily
family-level
ranks
tailed