Genome biology,
Journal Year:
2023,
Volume and Issue:
24(1)
Published: Dec. 8, 2023
Many
elite
genes
have
been
identified
from
the
available
cotton
genomic
data,
providing
various
genetic
resources
for
gene-driven
breeding.
However,
backbone
cultivar-driven
breeding
is
most
widely
applied
strategy.
Revealing
basis
of
strategy's
restriction
crucial
transition
Annual Review of Genomics and Human Genetics,
Journal Year:
2024,
Volume and Issue:
25(1), P. 77 - 104
Published: April 25, 2024
The
Human
Genome
Project
was
an
enormous
accomplishment,
providing
a
foundation
for
countless
explorations
into
the
genetics
and
genomics
of
human
species.
Yet
many
years,
genome
reference
sequence
remained
incomplete
lacked
representation
genetic
diversity.
Recently,
two
major
advances
have
emerged
to
address
these
shortcomings:
complete
gap-free
sequences,
such
as
one
developed
by
Telomere-to-Telomere
Consortium,
high-quality
pangenomes,
Pangenome
Reference
Consortium.
Facilitated
in
long-read
DNA
sequencing
assembly
algorithms,
sequences
resolve
regions
that
been
historically
difficult
sequence,
including
centromeres,
telomeres,
segmental
duplications.
In
parallel,
pangenomes
capture
extensive
diversity
across
populations
worldwide.
Together,
usher
new
era
research,
enhancing
accuracy
genomic
analysis,
paving
path
precision
medicine,
contributing
deeper
insights
biology.
Cell Reports,
Journal Year:
2023,
Volume and Issue:
42(9), P. 113039 - 113039
Published: Aug. 30, 2023
Functional
cloning
and
manipulation
of
genes
controlling
various
agronomic
traits
are
important
for
boosting
crop
production.
Although
bulked
segregant
analysis
(BSA)
is
an
efficient
method
functional
cloning,
its
low
throughput
cannot
satisfy
the
current
need
breeding
food
security.
Here,
we
review
rationale
development
conventional
BSA
discuss
strengths
drawbacks.
We
then
propose
next-generation
(NG-BSA)
integrating
multiple
cutting-edge
technologies,
including
high-throughput
phenotyping,
biological
big
data,
use
machine
learning.
NG-BSA
increases
resolution
genetic
mapping
quantitative
trait
(QTGs)
optimizes
candidate
gene
selection
while
providing
a
means
to
elucidate
interaction
network
QTGs.
The
ability
efficiently
batch-clone
QTGs
makes
it
tool
dissecting
molecular
mechanisms
underlying
traits,
as
well
improvement
Breeding
4.0
strategy,
especially
in
targeted
population
crops.
Plant Biotechnology Journal,
Journal Year:
2023,
Volume and Issue:
22(3), P. 544 - 554
Published: Nov. 14, 2023
Summary
Inversions,
a
type
of
chromosomal
structural
variation,
significantly
influence
plant
adaptation
and
gene
functions
by
impacting
expression
recombination
rates.
However,
compared
with
other
variations,
their
roles
in
functional
biology
crop
improvement
remain
largely
unexplored.
In
this
review,
we
highlight
technological
methodological
advancements
that
have
allowed
comprehensive
understanding
inversion
variants
through
the
pangenome
framework
machine
learning
algorithms.
Genome
editing
is
an
efficient
method
for
inducing
or
reversing
mutations
plants,
providing
effective
mechanism
to
modify
local
Given
potential
inversions
breeding,
anticipate
increasing
attention
on
from
scientific
community
future
research
breeding
applications.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 28, 2024
Abstract
Biological
invasions
are
a
major
threat
to
biodiversity.
Therefore,
monitoring
genomic
features
of
invasive
species
is
crucial
understand
their
population
structure
and
adaptive
processes.
However,
resources
scarce,
compromising
the
study
success.
Here,
we
present
reference
genome
Styela
plicata
,
one
most
widespread
marine
species,
combined
with
data
24
individuals
from
6
populations
distributed
worldwide.
We
characterized
large
inversions
in
four
chromosomes,
accounting
for
~
15%
size.
These
polymorphic
through
species’
distribution
area,
enriched
genes
enhancing
fitness
estuary
harbor
environments.
Nonetheless,
mask
detection
S.
structure.
When
these
structural
variants
removed,
successfully
identify
main
oceanographic
barriers
accurately
characterize
differentiation
between
within
ocean
basins.
Several
located
chromosome
3
showcased
as
drivers
biogeographic
regions.
Moreover,
recover
three
mitogenomic
clades,
involving
rearrangements
leading
cyto-nuclear
coevolution
likely
involved
mitochondrion
during
cell
division.
Our
results
suggest
that
contribute
structuring
adaptation
processes,
potentially
success
when
colonizing
new
habitats.
Biomolecules,
Journal Year:
2023,
Volume and Issue:
13(9), P. 1403 - 1403
Published: Sept. 17, 2023
The
availability
of
multiple
sequenced
genomes
from
a
single
species
made
it
possible
to
explore
intra-
and
inter-specific
genomic
comparisons
at
higher
resolution
build
clade-specific
pan-genomes
several
crops.
crops
constructed
various
cultivars,
accessions,
landraces,
wild
ancestral
represent
compendium
genes
structural
variations
allow
researchers
search
for
the
novel
alleles
that
were
inadvertently
lost
in
domesticated
during
historical
process
crop
domestication
or
extensive
plant
breeding.
Fortunately,
many
valuable
associated
with
desirable
traits
like
disease
resistance,
abiotic
stress
tolerance,
architecture,
nutrition
qualities
exist
species,
relatives.
ancestors
landraces
can
be
introduced
back
high-yielding
varieties
modern
by
implementing
classical
breeding,
selection,
transgenic/gene
editing
approaches.
Thus,
pan-genomic
represents
great
leap
research
offers
new
avenues
targeted
breeding
mitigate
impact
global
climate
change.
Here,
we
summarize
tools
used
pan-genome
assembly
annotations,
web-portals
hosting
pan-genomes,
etc.
Furthermore,
highlight
few
discoveries
using
approach
future
potential
this
emerging
field
study.
Agriculture Communications,
Journal Year:
2024,
Volume and Issue:
2(2), P. 100039 - 100039
Published: March 30, 2024
A
pangenome
encompasses
the
complete
genetic
diversity
of
a
species,
by
assembling
range
representative
individuals
from
various
populations.
This
review
describes
advances
in
plant
pangenomics,
tracing
its
evolution
since
initial
genome
sequencing
2000,
and
provides
comprehensive
best-practice
advice
to
build
linear
or
graphical
pangenome,
delineating
strengths
limitations
different
construction
methods.
The
also
examines
challenges
data
visualisation,
graph-based
pangenomes
their
utility
investigating
potential
function
variation.
Furthermore,
we
examine
application
breeding,
including
identification
for
crop
improvement,
integration
multi-omics
into
databases
advance
breeding.
aBIOTECH,
Journal Year:
2025,
Volume and Issue:
6(1), P. 22 - 32
Published: Jan. 18, 2025
Abstract
The
embryo
spot
trait
leads
to
a
deep
purple
or
reddish
coloration
at
the
base
of
cotyledons
embryo,
visible
on
both
sides
flat
potato
(
Solanum
tuberosum
)
seeds.
This
has
long
been
used
by
researchers
and
breeders
as
morphological
marker
during
dihaploid
induction.
formation
spots
reflects
accumulation
anthocyanins,
but
genetic
basis
this
remains
unclear.
In
study,
we
mapped
6.78-Mb
region
end
chromosome
10
using
an
F
2
population
derived
from
cross
between
spotted
spotless
plants.
recombination
rate
in
candidate
is
severely
suppressed,
posing
challenges
for
map-based
cloning
underlying
gene
suggesting
large-scale
rearrangements
region.
A
de
novo
genome
assembly
individual
comparative
genomic
analysis
reference
revealed
6.49-Mb
inversion
present
plant
genome.
left
breakpoint
occurred
promoter
R2R3
MYB
transcription
factor
that
highly
expressed
cotyledon
embryos
not
embryos.
study
elucidated
provides
foundation
future
causative
gene.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: March 11, 2025
Structural
variations
(SVs)
are
diverse
forms
of
genetic
alterations
and
drive
a
wide
range
human
diseases.
Accurately
genotyping
SVs,
particularly
occurring
at
repetitive
genomic
regions,
from
short-read
sequencing
data
remains
challenging.
Here,
we
introduce
SVLearn,
machine-learning
approach
for
bi-allelic
SVs.
It
exploits
dual-reference
strategy
to
engineer
curated
set
genomic,
alignment,
features
based
on
reference
genome
in
concert
with
an
allele-based
alternative
genome.
Using
38,613
human-derived
show
that
SVLearn
significantly
outperforms
four
state-of-the-art
tools,
precision
improvements
up
15.61%
insertions
13.75%
deletions
regions.
On
two
additional
sets
121,435
cattle
SVs
113,042
sheep
demonstrates
strong
generalizability
cross-species
genotype
weighted
concordance
score
90%.
Notably,
enables
accurate
low
coverage,
which
is
comparable
the
accuracy
30×
coverage.
Our
studies
suggest
can
accelerate
understanding
associations
between
genome-scale,
high-quality
genotyped
diseases
across
multiple
species.
structural
authors
precise
demonstrating
robust
coverage
levels.