A Global Relationship Between Genome Size and Encoded Carbon Metabolic Strategies of Soil Bacteria
Ecology Letters,
Journal Year:
2025,
Volume and Issue:
28(1)
Published: Jan. 1, 2025
Microbial
traits
are
critical
for
carbon
sequestration
and
degradation
in
terrestrial
ecosystems.
Yet,
our
understanding
of
the
relationship
between
metabolic
strategies
genomic
like
genome
size
remains
limited.
To
address
this
knowledge
gap,
we
conducted
a
global-scale
meta-analysis
2650
genomes,
integrated
whole-genome
sequencing
data,
performed
continental-scale
metagenomic
field
study.
We
found
that
was
tightly
associated
with
an
increase
ratio
genes
encoding
polysaccharide
decomposition
biomass
synthesis
defined
as
acquisition-to-biomass
yield
(A/Y).
also
show
horizontal
gene
transfer
played
major
evolutionary
role
expanded
bacterial
capacities
acquisition.
Our
study
further
revealed
significantly
negative
A/Y
soil
organic
stocks.
work
demonstrates
global
encoded
bacteria
across
microbiomes.
Language: Английский
Evaluation of the Effects of Different Cultivars of Falcataria falcata on Soil Quality
Ran Qiang,
No information about this author
Hui Yang,
No information about this author
Yong Luo
No information about this author
et al.
Forests,
Journal Year:
2025,
Volume and Issue:
16(3), P. 404 - 404
Published: Feb. 24, 2025
The
soil
microbial
community
influences
and
maintains
quality
health.
Leguminous
plants
are
widely
used
in
forestry
due
to
their
nitrogen-fixing
ability,
significantly
improving
quality.
However,
there
few
studies
on
the
effects
of
woody
legumes
communities
Here,
composition
structure
bulk
associated
with
six
cultivars
Falcataria
falcata
(L.)
Greuter
&
R.
Rankin
were
analyzed
using
full-length
16S
rRNA
sequencing.
Additionally,
minimum
dataset
approach
was
employed
integrate
indexes
physicochemical
properties,
allowing
calculation
a
index
evaluate
cultivars’
Although
growth
characteristics
identical,
significant
differences
physiological
functions.
Notably,
cultivar
6
demonstrated
advantage
over
other
its
overall
characteristics.
Compared
control
sample,
all
clearly
improved
quality,
8
16
outperforming
others.
findings
indicate
that
different
improve
fertility
by
recruiting
microorganisms
specific
stability
is
crucial
biological
ecological
factor
sustains
health
key
for
evaluation
these
properties.
Language: Английский
Enhancing nitrogen fertilizer productivity in cotton fields in southern Xinjiang by improving the soil microenvironment through water and nitrogen management
Agricultural Water Management,
Journal Year:
2025,
Volume and Issue:
312, P. 109442 - 109442
Published: March 23, 2025
Language: Английский
A cost and community perspective on the barriers to microbiome data reuse
Frontiers in Bioinformatics,
Journal Year:
2025,
Volume and Issue:
5
Published: April 9, 2025
Microbiome
research
is
becoming
a
mature
field
with
wealth
of
data
amassed
from
diverse
ecosystems,
yet
the
ability
to
fully
leverage
multi-omics
for
reuse
remains
challenging.
To
provide
view
into
researchers'
behavior
and
attitudes
towards
reuse,
we
surveyed
over
700
microbiome
researchers
evaluate
sharing
challenges.
We
found
that
many
are
impeded
by
difficulties
metadata
records,
challenges
processing
bioinformatics,
problems
repository
submissions.
also
explored
cost
constraints
at
each
step
process
better
understand
"pain
points"
more
quantitative
perspective
sixteen
active
researchers.
The
bioinformatics
was
estimated
be
most
time
consuming,
which
aligns
some
frequently
reported
community
survey.
From
these
two
approaches,
present
evidence-based
recommendations
how
address
concrete
actions
future
work.
Language: Английский
The components and aromaticity of dissolved organic matter derived from aquatic plants determine the CO2 and CH4 emission potential
Kun Wang,
No information about this author
Wanchang Ding,
No information about this author
Xiao‐Song Yang
No information about this author
et al.
Water Research,
Journal Year:
2025,
Volume and Issue:
281, P. 123685 - 123685
Published: April 19, 2025
Language: Английский
The influence of freeze-thaw cycles on Se migration and soil microorganisms in northeast paddy soil
Ping Wang,
No information about this author
Jiaxing Yu,
No information about this author
Xiaohui Lu
No information about this author
et al.
Journal of Hazardous Materials Advances,
Journal Year:
2024,
Volume and Issue:
unknown, P. 100551 - 100551
Published: Nov. 1, 2024
Language: Английский
Microbial biomass stoichiometry and proportion of Fe organic complexes separately shape the heterogeneity of mixotrophic denitrification and net N2O sinks in iron-carbon amended ecological ditch
Bi–Ni Jiang,
No information about this author
Yingying Zhang,
No information about this author
Yan Wang
No information about this author
et al.
Water Research,
Journal Year:
2024,
Volume and Issue:
272, P. 122945 - 122945
Published: Dec. 10, 2024
Language: Английский
Pair-Soil-Spectra: An Approach for NIRS-Based Soil Total Nitrogen Content Detection with Feature Metrics in Cases of Small Sample Sizes
Analytical Chemistry,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 19, 2024
Soil
total
nitrogen
(STN)
plays
an
important
role
in
plant
growth,
and
rapid
nondestructive
detection
of
STN
content
is
essential
for
agricultural
production.
Near-infrared
spectroscopy
(NIRS)
takes
advantage
the
fast
speed,
low
cost,
nondestructiveness,
it
can
be
used
detection.
Typically,
NIRS-based
approaches
require
a
large
number
samples
model
training.
However,
difficult
to
collect
sufficient
due
various
causes
(e.g.,
time-varying
state,
high
assay
costs,
etc.)
practical
application.
To
tackle
this
problem,
feature
metric
approach
introduced
detect
based
on
NIRS
work,
new
(named
Pair-Soil-Spectra)
proposed
mine
fine-grained
features
by
contrasting
different
soil
sample
pairs,
which
full
particle
heterogeneity
penetration.
For
validation
study,
three
datasets
with
collection
sources
are
selected
as
research
subjects,
performance
Pair-Soil-Spectra
analyzed
from
perspectives.
According
results,
has
significantly
improved
models
partial
least-squares
(PLS),
Cubist,
extreme
learning
machine
(ELM),
random
forest
(RF))
small
cases.
Of
these,
coefficient
determination
RF
0.13,
0.42,
0.10,
root-mean-square
prediction
decreased
0.15,
0.52,
0.01
g/kg
datasets,
gained
greatest
improvement.
Meanwhile,
easily
expanded
cover
other
domains.
Language: Английский