Adaptive Defense Mechanism During Flowering Period of Rhododendron decorum Revealed by Comparative Transcriptomic Analysis
Weiwei Liu,
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Chenghua Yu,
No information about this author
Kaiye Yang
No information about this author
et al.
Plants,
Journal Year:
2025,
Volume and Issue:
14(4), P. 559 - 559
Published: Feb. 12, 2025
Rhododendron
decorum,
a
widely
distributed
species
in
southwestern
China,
is
recognized
not
only
for
its
significant
ornamental
value
but
also
as
culinary
resource
local
tribes.
However,
the
defense
mechanisms
underlying
ecological
adaptations
of
R.
decorum
remain
to
be
elucidated.
In
this
study,
we
conducted
comparative
transcriptomic
analyses
various
organs
(corolla,
androecium/gynoecium
and
leaves)
collected
from
two
distinct
regions.
Approximately
186.98
Gb
clean
data
were
generated
three
across
these
Through
de
novo
assembly,
total
92,025
unigenes
obtained
nearly
half
them
(43,515
unigenes)
successfully
annotated.
Enrichment
analysis
differentially
expressed
genes
(DEGs)
within
groups
different
(HQI/LFI,
HQO/LFO
HQL/LFL,
respectively)
revealed
that
distribution
Heqing
region
exhibited
an
increased
requirement
plant
immunity,
including
resistance
diseases,
insects,
herbivores
organs.
Conversely,
Lijiang
showed
greater
reliance
on
environmental
factors,
such
cold
tolerance,
aromatic
compounds
production,
attraction
pollinating
insects.
Notably,
validation
21
pivotal
identified
significantly
regulated
enrichment
pathways
functional
consistency
KEGG
among
The
disparities
observed
transcriptome
regions
provide
valuable
insight
into
understanding
adaptive
mechanism.
Language: Английский
GC Content in Nuclear-Encoded Genes and Effective Number of Codons (ENC) Are Positively Correlated in AT-Rich Species and Negatively Correlated in GC-Rich Species
Genes,
Journal Year:
2025,
Volume and Issue:
16(4), P. 432 - 432
Published: April 5, 2025
Background/Objectives:
Codon
usage
bias
affects
gene
expression
and
translation
efficiency
across
species.
The
effective
number
of
codons
(ENC)
GC
content
influence
codon
preference,
often
displaying
unimodal
or
bimodal
distributions.
This
study
investigates
the
correlation
between
ENC
rankings
species
how
their
relationship
Methods:
I
analyzed
nuclear-encoded
genes
from
17
representing
six
kingdoms:
one
bacteria
(Escherichia
coli),
three
fungi
(Saccharomyces
cerevisiae,
Neurospora
crassa,
Schizosaccharomyces
pombe),
archaea
(Methanococcus
aeolicus),
protists
(Rickettsia
hoogstraalii,
Dictyostelium
discoideum,
Plasmodium
falciparum),),
plants
(Musa
acuminata,
Oryza
sativa,
Arabidopsis
thaliana),
animals
(Anopheles
gambiae,
Apis
mellifera,
Polistes
canadensis,
Mus
musculus,
Homo
sapiens,
Takifugu
rubripes).
Genes
in
all
were
ranked
by
ENC,
correlations
assessed.
examined
adding
subtracting
these
influenced
overall
distribution
a
new
method
that
call
Two-Rank
Order
Normalization
TRON.
equation,
TRON
=
SUM(ABS((GC
rank1:GC
rankN)
−
(ENC
rank1:ENC
rankN))/(N2/3),
where
(GC
is
rank-order
series
rank,
sorted
rank.
denominator
TRON,
N2/3,
normalization
factor
because
it
expected
value
sum
absolute
rank–ENC
rank
for
if
are
not
correlated.
Results:
positively
correlated
(i.e.,
increases
as
increases)
AT-rich
such
honeybees
(R2
0.60,
slope
0.78)
wasps
0.52,
0.72)
negatively
decreases
GC-rich
humans
0.38,
−0.61)
rice
0.59,
−0.77).
Second,
distributions
change
to
Third,
rank+ENC
Fourth,
slopes
versus
ENC)
with
0.98)
(see
Graphic
Abstract).
Conclusions:
differs
among
species,
shaping
opposite
ways
depending
on
whether
species’
GC-rich.
Understanding
patterns
might
provide
insights
into
efficiency,
epigenetics
mediated
CpG
DNA
methylation,
epitranscriptomics
RNA
modifications,
secondary
structures,
evolutionary
pressures,
potential
applications
genetic
engineering
biotechnology.
Language: Английский
A complex interplay of genetic introgression and local adaptation during the evolutionary history of three closely related spruce species
Shuo Feng,
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Hai-Xia Ma,
No information about this author
Yu Yin
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et al.
Plant Diversity,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 1, 2025
Language: Английский
Cryptic divergence in and evolutionary dynamics of endangered hybrid Picea brachytyla sensu stricto in the Qinghai-Tibet Plateau
Shengming Lu,
No information about this author
Lian Liu,
No information about this author
Weixiao Lei
No information about this author
et al.
BMC Plant Biology,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: Dec. 19, 2024
The
visual
similarities
observed
across
various
plant
groups
often
conceal
underlying
genetic
distinctions.
This
occurrence,
known
as
cryptic
diversity,
underscores
the
key
importance
of
identifying
and
understanding
intraspecific
evolutionary
lineages
in
ecology
conservation
biology.
In
this
study,
we
conducted
transcriptome
analysis
81
individuals
from
18
natural
populations
a
northern
lineage
Picea
brachytyla
sensu
stricto
that
is
endemic
to
Qinghai-Tibet
Plateau.
Our
revealed
presence
two
distinct
local
lineages,
emerging
approximately
444.8
thousand
years
ago
(kya),
within
endangered
species.
divergence
event
aligns
well
with
geographic
climatic
oscillations
occurred
distributional
range
during
Mid-Pleistocene
epoch.
Additionally,
identified
numerous
environmentally
correlated
gene
variants,
many
other
genes
showing
signals
positive
selection
genome.
These
factors
likely
contributed
persistence
adaptation
lineages.
findings
shed
light
on
highly
dynamic
processes
remarkably
similar
phenotypes
Importantly,
these
results
enhance
our
past
for
species
histories,
also
provide
guidance
development
plans.
Language: Английский
Comparative and Spatial Transcriptome Analysis of Rhododendron decorum Franch. During the Flowering Period and Revelation of the Plant Defense Mechanism
Weiwei Liu,
No information about this author
Chenghua Yu,
No information about this author
Kaiye Yang
No information about this author
et al.
Genes,
Journal Year:
2024,
Volume and Issue:
15(11), P. 1482 - 1482
Published: Nov. 18, 2024
is
a
globally
distributed
and
extensive
genus,
comprising
over
1000
species.
In
the
southwestern
mountains
of
China,
there
exists
remarkable
diversity
Language: Английский