Genome-wide association study for yield-related traits in faba bean (Vicia faba L.)
Frontiers in Plant Science,
Journal Year:
2024,
Volume and Issue:
15
Published: March 13, 2024
Yield
is
the
most
complex
trait
to
improve
crop
production,
and
identifying
genetic
determinants
for
high
yield
a
major
issue
in
breeding
new
varieties.
In
faba
bean
(
Vicia
L.),
quantitative
loci
(QTLs)
have
previously
been
detected
studies
of
biparental
mapping
populations,
but
genes
controlling
main
components
remain
largely
unknown.
this
study,
we
investigated
first
time
control
six
yield-related
traits:
shattering
(SH),
pods
per
plant
(PP),
seeds
pod
(SP),
(SPL),
100-seed
weight
(HSW),
plot
(PY),
using
genome-wide
association
study
(GWAS)
on
worldwide
collection
352
homozygous
accessions
with
aim
markers
associated
them.
Phenotyping
was
carried
out
field
trials
at
three
locations
(Spain,
United
Kingdom,
Serbia)
over
2
years.
The
panel
genotyped
Affymetrix
SNP-chip
yielding
22,867
SNP
markers.
GWAS
analysis
identified
112
marker–trait
associations
(MTAs)
97
candidate
genes,
distributed
chromosomes.
Eight
MTAs
were
least
two
environments,
five
multiple
traits.
next
step
will
be
validate
these
candidates
different
backgrounds
provide
resources
marker-assisted
yield.
Language: Английский
A special short-wing petal faba genome and genetic dissection of floral and yield-related traits accelerate breeding and improvement of faba bean
Rong Liu,
No information about this author
Chaoqin Hu,
No information about this author
Dan Gao
No information about this author
et al.
Genome biology,
Journal Year:
2025,
Volume and Issue:
26(1)
Published: March 17, 2025
A
comprehensive
study
of
the
genome
and
genetics
superior
germplasms
is
fundamental
for
crop
improvement.
As
a
widely
adapted
protein
with
high
yield
potential,
improvement
in
breeding
development
seeds
industry
faba
bean
have
been
greatly
hindered
by
its
giant
size
outcrossing
rate.
To
fully
explore
genomic
diversity
genetic
basis
important
agronomic
traits,
we
first
generate
de
novo
assembly
perform
annotation
special
short-wing
petal
germplasm
(VF8137)
exhibiting
low
Comparative
pan-genome
analyses
reveal
evolution
characteristics
unique
pan-genes
among
three
different
genomes.
In
addition,
558
accessions
reveals
distinct
groups
remarkable
differences
between
southern
northern
germplasms.
Genome-wide
association
analysis
identifies
several
candidate
genes
associated
adaptation-
yield-related
traits.
We
also
identify
one
gene
related
to
petals
combining
quantitative
trait
locus
mapping
bulked
segregant
analysis.
further
elucidate
function
through
multiple
lines
evidence
from
functional
annotation,
sequence
variation,
expression
differences,
structure
variation.
Our
provides
new
insights
into
Leguminosae
bean.
It
offers
valuable
resources
Language: Английский
Targeted genotyping (90K-SPET) facilitates genome-wide association studies and the prediction of yield-related traits in faba bean (Vicia faba L.)
BMC Plant Biology,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: April 29, 2025
Establishing
faba
bean
(Vicia
L.)
as
a
major
protein
crop
in
Europe
requires
developing
high-yielding
varieties.
However,
the
genetic
regulation
of
yield-related
traits
is
currently
under-explored.
These
can
be
improved
by
exploiting
extensive
but
largely
uncharacterized
germplasm.
Our
study
aimed
to
identify
associations
between
38,014
single
nucleotide
polymorphisms
(SNPs)
and
flowering
time
(FT),
plant
height
(PH),
pod
length
(PL),
seeds
per
(SP),
seed
weight
(SSW)
245
accessions
(CGN
panel)
via
Genome-Wide
Association
Study
(GWAS).
The
were
grown
2021
2022
Netherlands.
Additionally,
we
developed
genomic
selection
(GS)
models
predict
merit
within
large
germplasm
collections
for
mentioned
traits,
well
yield
(YLD).
CGN
panel
was
an
optimal
performing
high-resolution
GWAS,
showing
phenotypic
variation,
high
narrow-sense
heritability
all
minimal
relatedness
among
accessions.
Population
structure
analysis
revealed
presence
four
groups.
GWAS
uncovered
33
SNP-trait
17
2022.
We
identified
one
stable
QTL
FT
SSW
over
two
years,
representing
key
molecular
markers
testing
breeding
applications.
Short
linkage
disequilibrium
decay
(~
268
Kbp)
facilitated
identification
several
important
candidate
genes
with
interesting
homologs
other
crops.
Ten
SNPs
five
predicted
intra-genic
missense
variants,
potentially
altering
function.
Moreover,
modeling
SNP
effect
simultaneously
Bayesian
GS
showed
promising
predictive
ability
(PA)
prediction
accuracy
(ACC),
supporting
their
potential
application
germplasm-improvement
programs.
Predictive
ranged
from
0.58
0.81
2021,
0.47
0.85
different
traits.
across-year
predictions
PA.
QTLs
use
highlighted
new
genes.
Interestingly,
categorized
15
putatively
affecting
demonstrated
first
that
has
unlock
untapped
diversity
genebank
accelerate
trait
integration
into
Language: Английский
Molecular genetic diversity and linkage disequilibrium structure of the Egyptian faba bean using Single Primer Enrichment Technology (SPET)
BMC Genomics,
Journal Year:
2024,
Volume and Issue:
25(1)
Published: June 28, 2024
Abstract
Faba
bean
is
an
important
legume
crop.
The
genetic
diversity
among
faba
genotypes
very
for
the
improvement
of
target
traits.
A
set
128
fab
that
are
originally
from
Egypt
were
used
in
this
study
to
investigate
and
population
structure.
genotyped
using
Single
Primer
Enrichment
Technology
(SPET)
by
which
a
6759
SNP
markers
generated
after
filtration.
distributed
on
all
chromosomes
with
range
extending
822
(Chr.
6)
1872
(Chr.1).
had
wide
ranges
polymorphic
information
content
(PIC),
gene
(GD),
minor
allele
frequency.
analysis
structure
divided
Egyptian
into
five
subpopulations.
Considerable
distance
was
found
genotypes,
ranging
0.1
0.4.
highly
divergent
genotype
highlighted
ranged
0.6.
Moreover,
linkage
disequilibrium
studied,
revealed
low
level
LD
population.
slow
decay
at
genomic
chromosomal
levels
observed.
Interestingly,
distribution
haplotype
blocks
presented
each
chromosome
number
block
65
4)
156
1).
Migration
drift
main
reasons
results
shed
light
possibility
crop
conducting
association
analyses
identify
candidate
genes
associated
traits
(e.g.
protein
content,
grain
yield,
etc.)
panel.
Language: Английский
Targeted genotyping (90K-SPET) facilitates genome-wide association studies and the prediction of yield-related traits in faba bean (Vicia faba L.)
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 13, 2024
Abstract
Background
Establishing
faba
bean
(Vicia
L.)
as
a
major
protein
crop
in
Europe
requires
developing
high-yielding
varieties.
However,
the
genetic
regulation
of
yield-related
traits
is
currently
under-explored.
These
can
be
improved
by
exploiting
extensive
but
largely
uncharacterized
germplasm.
Our
study
aimed
to
identify
associations
between
38,014
single
nucleotide
polymorphisms
(SNPs)
and
flowering
time
(FT),
plant
height
(PH),
pod
length
(PL),
seeds
per
(SP),
seed
weight
(SSW)
245
accessions
(CGN
population)
via
Genome-Wide
Association
Study
(GWAS).
The
were
grown
2021
2022
Netherlands.
Additionally,
we
developed
genomic
selection
(GS)
models
predict
merit
within
large
germplasm
collections.
Results
CGN
population
was
an
optimal
panel
for
performing
high-resolution
GWAS,
showing
phenotypic
variation,
high
narrow-sense
heritability
all
traits,
minimal
relatedness
among
accessions.
Population
structure
analysis
revealed
presence
four
groups.
GWAS
uncovered
33
SNP-trait
17
2022.
We
identified
one
stable
QTL
FT
SSW
over
two
years,
representing
key
molecular
markers
testing
breeding
applications.
Short
linkage
disequilibrium
decay
(~268
Kbp)
facilitated
identification
several
important
candidate
genes
with
interesting
homologs
other
crops.
Ten
SNPs
five
predicted
intra-genic
missense
variants,
potentially
altering
function.
Moreover,
modeling
SNP
effect
simultaneously
Bayesian
GS
showed
promising
predictive
ability
(PA)
prediction
accuracy
(ACC),
supporting
their
potential
application
germplasm-improvement
programs.
Predictive
ranged
from
0.58
0.81
2021,
0.47
0.85
different
traits.
across-year
predictions
PA.
Conclusion
QTLs
use
highlighted
new
genes.
Interestingly,
categorized
15
putatively
affecting
demonstrated
first
that
has
unlock
untapped
diversity
genebank
collections
accelerate
trait
integration
into
Language: Английский
Genome-Wide Development of Polymorphic SNP Markers and Evaluation of Genetic Diversity of Litchi (Litchi chinensis Sonn.)
Wei Liu,
No information about this author
Zhidan Xiao,
No information about this author
Nonghui Jiang
No information about this author
et al.
Plants,
Journal Year:
2023,
Volume and Issue:
12(23), P. 3949 - 3949
Published: Nov. 23, 2023
Litchi
(Litchi
chinensis
Sonn.)
is
a
highly
valuable
fruit
crop
that
widely
grown
in
tropical
and
subtropical
areas
of
the
world.
Studying
its
genetic
diversity
population
structure
critical
for
effective
conservation
breeding
programs.
In
this
study,
we
developed
150
single-nucleotide
polymorphism
(SNP)
markers
were
evenly
spaced
across
litchi
genome
applied
them
to
evaluation
84
accessions,
including
old
cultivars,
modern
hybrids
from
known
parents
wild
accessions.
Ninety-one
SNP
markers,
showing
high
levels
genotyping
success
rates,
used
further
analysis.
The
newly
captured
relatively
higher
level
(He
=
0.364)
cultivars
could
be
successfully
identification
synonymous
with
close
backgrounds.
Cluster
analysis
grouped
all
genotypes
into
three
clusters
showed
perfect
association
their
maturation
period,
among
which
accessions
clustered
corresponding
domesticated
different
parent
combinations
inheritance
tendencies.
Our
study
not
only
provided
set
efficient
future
research,
but
also
laid
an
important
foundation
litchi.
Language: Английский
The Genetics, Genomics, and Breeding of Cereals and Grain Legumes: Traits and Technologies for Future Food Security
Agronomy,
Journal Year:
2023,
Volume and Issue:
13(8), P. 2065 - 2065
Published: Aug. 4, 2023
According
to
the
United
Nations
(UN),
world’s
population
is
expected
grow
by
more
than
one
billion
people
over
next
15
years
[...]
Language: Английский
Evaluation of genetic diversity in faba bean (Vicia faba L.)
Sourav Ranjan Nanda,
No information about this author
CS Mahto,
No information about this author
Jay Lal Mahto
No information about this author
et al.
Journal of Food Legumes,
Journal Year:
2024,
Volume and Issue:
36(4), P. 257 - 261
Published: April 1, 2024
The
present
investigation
was
carried
out
to
study
inherent
genetic
diversity
among
35
genotypes
of
faba
bean
(Vicia
L.)
using
Mahalonobis
D2
statistics.
analysis
grouped
studied
genetypes
into
16
clusters
in
Environment
1
(Early
sowing)
and
12
2
(Late
sowing).
intra-cluster
distance
greater
Cluster
I
(8.48)
V
(7.99).
While
inter-cluster
observed
between
cluster
X
XIV
XII
2.
Seed
yield
per
plant
contributed
the
highest
towards
total
divergence
under
both
environments
(49.25%
28.41%
2).
RFB
14,
ET226414,
ET226415,
HFB-1,
ET226430,
ET226426
ET226417
belonging
different
had
higher
can
be
used
as
a
parent
for
further
hybridization
program
generating
useful
variability.
Language: Английский
Jan Sjödin faba bean mutation collection: status and molecular characterization
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 28, 2024
Abstract
Background
Plant
mutagenesis
creates
novel
alleles
that
increase
genetic
diversity
and
enhance
crop
resilience,
productivity,
sustainability.
The
availability
of
the
faba
bean
(
Vicia
faba
L.)
reference
genome
a
growing
set
additional
genomic
resources
has
increased
scientific
practical
value
mutant
collections.
We
phenotyped
genotyped
historical
collection
developed
characterized
by
Jan
Sjödin
(1934–2023)
over
half
century
ago.
was
using
high-throughput
single-primer
enrichment
technology
(SPET)
assays.
Results
In
this
study,
we
used
11,073
informative
single
nucleotide
polymorphism
(SNP)
markers
spanning
to
genetically
characterize
52
lines
along
with
background
line,
cv.
Primus.
A
range
flowers,
seeds,
leaves,
stipule
mutations
were
observed.
analysis
population
structure
revealed
shallow
no
major
subpopulations.
Principal
component
cluster
analyses
revealed,
minor
extent,
mutants
clustered
their
phenotype.
Conclusions
Given
high
marker
density,
our
findings
support
power
SPET
for
genotyping.
Our
results
will
be
useful
breeding
studies
in
bean.
Language: Английский
The Jan Sjödin faba bean mutant collection: morphological and molecular characterization
Hereditas,
Journal Year:
2024,
Volume and Issue:
161(1)
Published: Oct. 7, 2024
Abstract
Background
Plant
mutagenesis
creates
novel
alleles,
thereby
increasing
genetic
and
phenotypic
diversity.
The
availability
of
the
faba
bean
(
Vicia
L.)
reference
genome
a
growing
set
additional
genomic
resources
has
increased
scientific
practical
value
mutant
collections.
We
aimed
to
genotype
morphologically
phenotype
historical
collection
developed
characterized
by
Jan
Sjödin
(1934–2023)
over
half
century
ago
in
order
increase
its
researchers.
was
genotyped
using
high-throughput
single-primer
enrichment
technology
(SPET)
assays.
Results
used
11,073
informative
single
nucleotide
polymorphism
(SNP)
markers
spanning
52
lines
along
with
background
line,
cv.
Primus.
A
range
flower,
seed,
leaf,
stipule
mutations
were
observed.
analysis
population
structure
revealed
shallow
no
major
subpopulations.
Principal
component
cluster
analyses
revealed,
minor
extent,
that
mutants
clustered
their
phenotype.
Conclusions
mutants’
variation
indicate
potential
play
significant
role
breeding
functional
studies.
Language: Английский