Geomicrobiology in Hot Spring Hydrothermal Systems
Yukti Oza,
No information about this author
Swarali Bagade,
No information about this author
Avinash Sharma
No information about this author
et al.
Published: Jan. 1, 2025
Language: Английский
Current Approaches and Implications in Discovery of Novel Bioactive Products from Microbial Sources
Ankesh Pandey,
No information about this author
Juveriya Israr,
No information about this author
Janmejay Pandey
No information about this author
et al.
Current Microbiology,
Journal Year:
2025,
Volume and Issue:
82(6)
Published: April 22, 2025
Language: Английский
Metagenome quality metrics and taxonomical annotation visualization through the integration of MAGFlow and BIgMAG
F1000Research,
Journal Year:
2024,
Volume and Issue:
13, P. 640 - 640
Published: June 17, 2024
Background
Building
Metagenome–Assembled
Genomes
(MAGs)
from
highly
complex
metagenomics
datasets
encompasses
a
series
of
steps
covering
cleaning
the
sequences,
assembling
them
to
finally
group
into
bins.
Along
process,
multiple
tools
aimed
assess
quality
and
integrity
each
MAG
are
implemented.
Nonetheless,
even
when
incorporated
within
end–to–end
pipelines,
outputs
these
pieces
software
must
be
visualized
analyzed
manually
lacking
integration
in
complete
framework.
Methods
We
developed
Nextflow
pipeline
(MAGFlow)
for
estimating
MAGs
through
wide
variety
approaches
(BUSCO,
CheckM2,
GUNC
QUAST),
as
well
annotating
taxonomically
metagenomes
using
GTDB-Tk2.
MAGFlow
is
coupled
Python–Dash
application
(BIgMAG)
that
displays
concatenated
outcomes
included
by
MAGFlow,
highlighting
most
important
metrics
single
interactive
environment
along
with
comparison/clustering
input
data.
Results
By
MAGFlow/BIgMAG,
user
will
able
benchmark
obtained
different
workflows
or
establish
belonging
samples
following
the
divide
rule
methodology.
Conclusions
MAGFlow/BIgMAG
represents
unique
tool
integrates
state-of-the-art
study
extract
visually
much
information
possible
range
genome
features.
Language: Английский
Dataset of 313 metagenome-assemble genomes from streamer hot spring water
Jia Hao Tan,
No information about this author
Kok Jun Liew,
No information about this author
Kian Mau Goh
No information about this author
et al.
Data in Brief,
Journal Year:
2024,
Volume and Issue:
56, P. 110829 - 110829
Published: Aug. 10, 2024
This
data
report
presents
prokaryotic
metagenome-assembled
genomes
(MAGs)
from
a
hot
spring
stream
with
temperatures
between
64
and
100°C.
The
water
was
filtered
the
extracted
total
DNA
sequenced
using
Illumina
HiSeq
2500
platform.
Approximately
80
Gb
of
raw
were
generated,
which
subsequently
assembled
MEGAHIT
v1.2.9.
MAGs
generated
MetaWRAP
binning
approaches
MetaBAT2,
CONCOCT
MaxBin2.
We
constructed
25
medium-quality
24
high-quality
archaeal
MAGs,
152
112
bacterial
MAGs.
fasta
files
these
are
available
in
NCBI
database
as
well
Mendeley
Data.
Major
phyla
identified
include
Bacteroidota,
Chloroflexota,
Desulfobacterota,
Firmicutes,
Patescibacteria,
Proteobacteria,
Spirochaetota,
Verrucomicrobiota,
Armatimonadota,
Nitrospirota,
Acidobacteriota,
Elusimicrobiota,
Planctomycetota,
Candidate
division
WOR-3,
Aquificota,
Thermoproteota,
Micrarchaeota.
dataset
is
valuable
for
studies
on
thermophilic
genomes,
reconstruction
biochemical
pathways
gene
discovery.
Language: Английский
Metagenome quality metrics and taxonomical annotation visualization through the integration of MAGFlow and BIgMAG
F1000Research,
Journal Year:
2024,
Volume and Issue:
13, P. 640 - 640
Published: Sept. 23, 2024
Background
Building
Metagenome–Assembled
Genomes
(MAGs)
from
highly
complex
metagenomics
datasets
encompasses
a
series
of
steps
covering
cleaning
the
sequences,
assembling
them
to
finally
group
into
bins.
Along
process,
multiple
tools
aimed
assess
quality
and
integrity
each
MAG
are
implemented.
Nonetheless,
even
when
incorporated
within
end–to–end
pipelines,
outputs
these
pieces
software
must
be
visualized
analyzed
manually
lacking
integration
in
complete
framework.
Methods
We
developed
Nextflow
pipeline
(MAGFlow)
for
estimating
MAGs
through
wide
variety
approaches
(BUSCO,
CheckM2,
GUNC
QUAST),
as
well
annotating
taxonomically
metagenomes
using
GTDB-Tk2.
MAGFlow
is
coupled
Python–Dash
application
(BIgMAG)
that
displays
concatenated
outcomes
included
by
MAGFlow,
highlighting
most
important
metrics
single
interactive
environment
along
with
comparison/clustering
input
data.
Results
By
MAGFlow/BIgMAG,
user
will
able
benchmark
obtained
different
workflows
or
establish
belonging
samples
following
the
divide
rule
methodology.
Conclusions
MAGFlow/BIgMAG
represents
unique
tool
integrates
state-of-the-art
study
extract
visually
much
information
possible
range
genome
features.
Language: Английский
Enhancing Photosynthetic Carbon Transport in Rice Plant Optimizes Rhizosphere Bacterial Community in Saline Soil
Weiwei Zhang,
No information about this author
Shunying Yang,
No information about this author
Tianqi Wei
No information about this author
et al.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(22), P. 12184 - 12184
Published: Nov. 13, 2024
Saline
soils
exert
persistent
salt
stress
on
plants
that
inhibits
their
ability
to
carry
out
photosynthesis
and
leads
photosynthetic
carbon
(C)
scarcity
in
plant
roots
the
rhizosphere.
However,
it
remains
unclear
how
a
rhizosphere
environment
is
shaped
by
C
partitioning
under
saline
conditions.
Given
sucrose
primary
form
of
transport,
we,
respectively,
created
transport
distorted
(STD)
enhanced
(STE)
rice
lines
through
targeted
mutation
overexpression
transporter
gene
Language: Английский