Bioinformatics,
Год журнала:
2019,
Номер
35(21), С. 4453 - 4455
Опубликована: Апрель 24, 2019
Abstract
Motivation
Phylogenies
are
important
for
fundamental
biological
research,
but
also
have
numerous
applications
in
biotechnology,
agriculture
and
medicine.
Finding
the
optimal
tree
under
popular
maximum
likelihood
(ML)
criterion
is
known
to
be
NP-hard.
Thus,
highly
optimized
scalable
codes
needed
analyze
constantly
growing
empirical
datasets.
Results
We
present
RAxML-NG,
a
from-scratch
re-implementation
of
established
greedy
search
algorithm
RAxML/ExaML.
RAxML-NG
offers
improved
accuracy,
flexibility,
speed,
scalability,
usability
compared
with
On
taxon-rich
datasets,
typically
finds
higher-scoring
trees
than
IQTree,
an
increasingly
recent
tool
ML-based
phylogenetic
inference
(although
IQ-Tree
shows
better
stability).
Finally,
introduces
several
new
features,
such
as
detection
terraces
space
recently
introduced
transfer
bootstrap
support
metric.
Availability
implementation
The
code
available
GNU
GPL
at
https://github.com/amkozlov/raxml-ng.
web
service
(maintained
by
Vital-IT)
https://raxml-ng.vital-it.ch/.
Supplementary
information
data
Bioinformatics
online.
Bioinformatics,
Год журнала:
2022,
Номер
38(23), С. 5315 - 5316
Опубликована: Окт. 11, 2022
Abstract
Summary
The
Genome
Taxonomy
Database
(GTDB)
and
associated
taxonomic
classification
toolkit
(GTDB-Tk)
have
been
widely
adopted
by
the
microbiology
community.
However,
growing
size
of
GTDB
bacterial
reference
tree
has
resulted
in
GTDB-Tk
requiring
substantial
amounts
memory
(∼320
GB)
which
limits
its
adoption
ease
use.
Here,
we
present
an
update
to
that
uses
a
divide-and-conquer
approach
where
user
genomes
are
initially
placed
into
with
family-level
representatives
followed
placement
appropriate
class-level
subtree
comprising
species
representatives.
This
substantially
reduces
requirements
while
having
minimal
impact
on
classification.
Availability
implementation
is
implemented
Python
licenced
under
GNU
General
Public
Licence
v3.0.
Source
code
documentation
available
at:
https://github.com/ecogenomics/gtdbtk.
Supplementary
information
data
at
Bioinformatics
online.
True
fungi
(Fungi)
and
fungus-like
organisms
(e.g.
Mycetozoa,
Oomycota)
constitute
the
second
largest
group
of
based
on
global
richness
estimates,
with
around
3
million
predicted
species.
Compared
to
plants
animals,
have
simple
body
plans
often
morphologically
ecologically
obscure
structures.
This
poses
challenges
for
accurate
precise
identifications.
Here
we
provide
a
conceptual
framework
identification
fungi,
encouraging
approach
integrative
(polyphasic)
taxonomy
species
delimitation,
i.e.
combination
genealogy
(phylogeny),
phenotype
(including
autecology),
reproductive
biology
(when
feasible).
allows
objective
evaluation
diagnostic
characters,
either
phenotypic
or
molecular
both.
Verification
identifications
is
crucial
but
neglected.
Because
clade-specific
evolutionary
histories,
there
currently
no
single
tool
although
DNA
barcoding
using
internal
transcribed
spacer
(ITS)
remains
first
diagnosis,
particularly
in
metabarcoding
studies.
Secondary
barcodes
are
increasingly
implemented
groups
where
ITS
does
not
sufficient
precision.
Issues
pairwise
sequence
similarity-based
OTU
clustering
discussed,
multiple
alignment-based
phylogenetic
approaches
subsequent
verification
recommended
as
more
alternatives.
In
approaches,
trade-off
between
speed
accuracy
precision
must
be
carefully
considered.
Intragenomic
variation
other
markers
should
properly
documented,
phylotype
diversity
necessarily
proxy
richness.
Important
strategies
improve
are:
(1)
broadly
document
intraspecific
intragenomic
markers;
(2)
substantially
expand
repositories,
focusing
undersampled
clades
missing
taxa;
(3)
curation
labels
primary
repositories
increase
number
sequences
verified
material;
(4)
link
data
digital
information
voucher
specimens
including
imagery.
parallel,
technological
improvements
genome
sequencing
offer
promising
alternatives
future.
Despite
prevalence
DNA-based
fungal
taxonomy,
phenotype-based
remain
an
important
strategy
catalog
establish
initial
hypotheses.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2019,
Номер
unknown
Опубликована: Июнь 15, 2019
One
major
limitation
of
microbial
community
marker
gene
sequencing
is
that
it
does
not
provide
direct
information
on
the
functional
composition
sampled
communities.
Here,
we
present
PICRUSt2
(
https://github.com/picrust/picrust2
),
which
expands
capabilities
original
PICRUSt
method
1
to
predict
potential
a
based
profiles.
This
updated
and
implementation
includes
several
improvements
over
previous
algorithm:
an
expanded
database
families
reference
genomes,
new
approach
now
compatible
with
any
OTU-picking
or
denoising
algorithm,
novel
phenotype
predictions.
Upon
evaluation,
was
more
accurate
than
PICRUSt1
other
current
approaches
overall.
also
flexible
allows
addition
custom
databases.
We
highlight
these
important
caveats
regarding
use
predicted
metagenomes,
are
related
inherent
challenges
analyzing
metagenome
data
in
general.
Methods in Ecology and Evolution,
Год журнала:
2019,
Номер
10(11), С. 1985 - 2001
Опубликована: Авг. 2, 2019
Abstract
Metabarcoding
extra‐organismal
DNA
from
environmental
samples
is
now
a
key
technique
in
aquatic
biomonitoring
and
ecosystem
health
assessment.
Of
critical
consideration
when
designing
experiments,
especially
so
developing
community
standards
legislative
frameworks,
the
choice
of
genetic
marker
primer
set.
Mitochondrial
cytochrome
c
oxidase
subunit
I
(COI),
standard
barcode
for
animals,
with
its
extensive
reference
library,
taxonomic
discriminatory
power
predictable
sequence
variation,
natural
many
metabarcoding
applications.
However,
targeting
specific
groups
samples,
utility
COI
has
yet
to
be
fully
scrutinized.
Here,
by
using
case
study
marine
freshwater
fishes
British
Isles,
we
quantify
silico
performance
twelve
pairs
four
mitochondrial
loci
–
COI,
b
,
12S
16S
terms
library
coverage,
universality.
We
subsequently
test
vitro
three
one
their
specificity,
reproducibility,
congruence
independent
datasets
derived
traditional
survey
methods
at
five
estuarine
coastal
sites
around
English
Channel
North
Sea.
Our
results
show
that
aqueous
low
template
concentrations,
both
metazoan‐targeted
fish‐targeted
primers
perform
poorly
comparison
12S,
exhibiting
levels
reproducibility
due
non‐specific
amplification
prokaryotic
non‐target
eukaryotic
DNAs.
An
ideal
metabarcode
would
have
an
upon
which
custom
could
designed,
either
broad
assessments
biodiversity,
or
taxon
surveys.
Such
database
available
but
specificity
hinders
practical
application,
while
conversely,
offer
high
lack
adequate
references.
The
latter,
however,
can
mitigated
expanding
concept
barcodes
include
whole
genomes
generated
genome‐skimming
existing
tissue
collections.
Bioinformatics,
Год журнала:
2020,
Номер
36(10), С. 3263 - 3265
Опубликована: Янв. 28, 2020
We
present
genesis,
a
library
for
working
with
phylogenetic
data,
and
gappa,
an
accompanying
command-line
tool
conducting
typical
analyses
on
such
data.
The
tools
target
trees
placements,
sequences,
taxonomies
other
relevant
data
types,
offer
high-level
simplicity
as
well
low-level
customizability,
are
computationally
efficient,
well-tested
field-proven.
Nature Communications,
Год журнала:
2021,
Номер
12(1)
Опубликована: Сен. 6, 2021
Climate
change
is
altering
the
frequency
and
severity
of
drought
events.
Recent
evidence
indicates
that
may
produce
legacy
effects
on
soil
microbial
communities.
However,
it
unclear
whether
precedent
events
lead
to
ecological
memory
formation,
i.e.,
capacity
past
influence
current
ecosystem
response
trajectories.
Here,
we
utilize
a
long-term
field
experiment
in
mountain
grassland
central
Austria
with
an
experimental
layout
comparing
10
years
recurrent
single
event
ambient
conditions.
We
show
droughts
increase
dissimilarity
communities
compared
control
events,
enhance
multifunctionality
during
(calculated
via
measurements
potential
enzymatic
activities,
nutrients,
biomass
stoichiometry
belowground
net
primary
productivity).
Our
results
indicate
community
composition
changes
concert
its
functioning,
consequences
for
processes.
The
formation
under
resilience
functioning
against
future