Animals,
Journal Year:
2023,
Volume and Issue:
13(24), P. 3758 - 3758
Published: Dec. 5, 2023
The
present
study
aimed
to
contribute
the
limited
research
on
buffalo
(Bubalus
bubalis)
semen
traits
by
incorporating
genomic
data.
A
total
of
8465
ejaculates
were
collected.
genotyping
procedure
was
conducted
using
Axiom®
Buffalo
Genotyping
90
K
array
designed
Affymetrix
Expert
Design
Program.
After
conducting
a
quality
assessment,
we
utilized
67,282
SNPs
genotyped
in
192
animals.
We
identified
several
loci
explaining
high
genetic
variance
employing
single-step
evaluation.
aforementioned
regions
located
chromosomes
no.
3,
4,
6,
7,
14,
16,
20,
22,
and
X-chromosome.
X-chromosome
exhibited
substantial
influence,
accounting
for
4.18,
4.59,
5.16,
5.19,
4.31%
ejaculate
volume,
mass
motility,
livability,
abnormality,
concentration,
respectively.
In
examined
regions,
five
novel
candidate
genes
linked
male
fertility
spermatogenesis,
four
one
chromosome
16.
Additional
extensive
with
larger
sample
sizes
datasets
is
imperative
validate
these
findings
evaluate
their
applicability
selection.
Clinical Epigenetics,
Journal Year:
2022,
Volume and Issue:
14(1)
Published: April 27, 2022
Conflicting
results
regarding
alterations
to
sperm
DNA
methylation
in
cases
of
spermatogenesis
defects,
male
infertility
and
poor
developmental
outcomes
have
been
reported
humans.
Bulls
used
for
artificial
insemination
represent
a
relevant
model
this
field,
as
the
broad
dissemination
bull
semen
considerably
alleviates
confounding
factors
enables
precise
assessment
fertility.
This
study
was
therefore
designed
assess
potential
predict
fertility.A
unique
collection
100
samples
constituted
by
pooling
2-5
ejaculates
per
from
Montbéliarde
bulls
comparable
ages,
assessed
fertile
(n
=
57)
or
subfertile
43)
based
on
non-return
rates
56
days
after
insemination.
The
profiles
these
were
obtained
using
reduced
representation
bisulfite
sequencing.
After
excluding
putative
sequence
polymorphisms,
490
fertility-related
differentially
methylated
cytosines
(DMCs)
identified,
most
which
hypermethylated
bulls.
Interestingly,
46
genes
targeted
DMCs
are
involved
embryonic
fetal
development,
function
maturation,
related
fertility
genome-wide
association
studies;
five
further
analyzed
pyrosequencing.
In
order
evaluate
prognostic
value
DMCs,
split
between
training
67)
testing
33)
sets.
Using
Random
Forest
approach,
predictive
built
values
set.
accuracy
72%
set
individual
collected
an
independent
cohort
20
bulls.This
study,
conducted
largest
so
far
examined
epigenetic
analyses,
demonstrated
that
methylome
is
valuable
source
biomarkers.
next
challenge
combine
with
other
data
same
improve
quality
better
understand
interplay
molecular
features
regulation
research
may
applications
human
medicine,
where
affects
interaction
female,
thus
making
it
difficult
isolate
factor.
Scientific Reports,
Journal Year:
2022,
Volume and Issue:
12(1)
Published: June 23, 2022
Bull
fertility
is
of
paramount
importance
in
bovine
industry
because
semen
from
a
single
bull
used
to
breed
several
thousands
cows;
however,
so
far,
no
reliable
test
available
for
prediction.
In
the
present
study,
spermatozoa
high-
and
low-fertility
bulls
were
subjected
high-throughput
transcriptomic,
proteomic
metabolomic
analysis.
Using
an
integrated
multi-omics
approach
molecular
differences
between
identified.
We
identified
total
18,068
transcripts,
5041
proteins
3704
metabolites
spermatozoa,
which
expression
4766
785
33
dysregulated
bulls.
At
transcript
level,
genes
involved
oxidative
phosphorylation
pathway
found
be
downregulated,
while
at
protein
level
metabolic
pathways
significantly
downregulated
that
Taurine
hypotaurine
metabolism
Integrated
analysis
revealed
interaction
major
pathways,
including
Butanoate
metabolism,
Glycolysis
gluconeogenesis,
Methionine
cysteine
Phosphatidyl
inositol
phosphate,
pyrimidine
saturated
fatty
acid
beta
oxidation.
These
findings
collectively
indicate
molecules
governing
sperm
potentially
influence
fertility.
Animals,
Journal Year:
2022,
Volume and Issue:
12(21), P. 2955 - 2955
Published: Oct. 27, 2022
Nowadays,
selection
of
superior
male
candidates
in
livestock
as
a
source
frozen
semen
based
on
sperm
quality
at
the
cellular
level
is
not
considered
accurate
enough
for
predicting
potential
fertility.
Sperm
transcriptome
analysis
approaches,
such
messenger
RNA
levels,
have
been
shown
to
correlate
with
fertility
rates.
Using
this
technology
growth
has
become
principal
method,
which
can
be
widely
applied
predict
industry
through
transcriptome.
It
provides
gene
expression
validate
function
spermatogenesis,
fertilization,
and
embryo
development,
parameters
This
review
proposes
transcriptomic
approach
high-throughput
method
more
accurately
future.
Veterinary Sciences,
Journal Year:
2022,
Volume and Issue:
9(3), P. 111 - 111
Published: March 3, 2022
Functional
genes
and
proteins
in
sperm
play
an
essential
role
bulls’
reproductive
processes.
They
are
more
accurate
determining
bull
fertility
than
conventional
semen
quality
tests.
Protamine-1
(PRM1)
is
a
gene
or
protein
crucial
for
packaging
protecting
DNA
until
fertilization
affects
normal
function.
This
study
analyzes
the
potential
from
PRM1
as
markers
different
breeds
of
bulls
utilized
artificial
insemination
programs,
expected
to
be
tool
interpreting
Indonesia.
used
Limousin,
Holstein,
Ongole
Grade
divided
into
two
groups
based
on
fertility,
high-fertility
(HF)
low
(LF).
The
assessment
included
progressive
motility
(computer-assisted
analysis),
viability
(eosin-nigrosine),
plasma
membrane
integrity
(HOS
test).
Sperm
fragmentation
(SDF)
was
assessed
using
acridine
orange
staining
Halomax
test.
PRM
deficiency
evaluated
with
chromomycin
A3
method.
Moreover,
expression
measured
qRT-PCR,
abundance
enzyme
immunoassay
Semen
values,
relative
gene,
quantity
were
significantly
higher
(p
<
0.05)
HF
LF
bulls.
SDF
values
Additionally,
at
levels
correlated
0.01)
fertility.
Therefore,
candidate
Frontiers in Veterinary Science,
Journal Year:
2024,
Volume and Issue:
11
Published: May 10, 2024
It
is
critical
in
sheep
farming
to
accurately
estimate
ram
fertility
for
maintaining
reproductive
effectiveness
and
production
profitability.
However,
there
currently
a
lack
of
reliable
biomarkers
semen
quality
fertility,
which
hindering
advances
animal
science
technology.
The
objective
this
study
was
uncover
long
non-coding
RNAs
(lncRNAs)
sperm
from
rams
with
distinct
phenotypes.
Mature
were
allocated
into
two
groups:
high
low
(HF;
n
=
31;
94.5
±
2.8%,
LF;
25;
83.1
5.73%;
P
0.028)
according
the
pregnancy
rates
sired
by
(average
rate;
89.4
7.2%).
Total
isolated
highest-
lowest-fertility
(
4,
99.2
1.6%,
73.6
4.4%,
respectively)
followed
next-generation
sequencing
transcripts.
We
uncovered
11,209
lncRNAs
HF
LF.
In
comparison
each
other,
93
differentially
expressed
(DE)
Of
these,
141
mRNAs
upregulated
134
downregulated
between
LF,
respectively.
Genes
commonly
enriched
9
+
2
motile
cilium
flagellum
ABHD2,
AK1,
CABS1,
ROPN1,
SEPTIN2,
SLIRP
,
TEKT3
.
Moreover,
CCDC39,
CFAP97D1,
SLIRP,
TTC12
flagellated
motility
motility.
Differentially
top
16
KEGG
pathways.
Targets
elucidate
functions
cis
trans
manner
using
genetic
context
lncRNA
locus,
sequences
revealed
471
targets
10
lncRNAs.
This
illustrates
existence
potential
that
can
be
implemented
analyzing
determining
used
breeding
soundness
exams
precision
livestock
ensure
food
security
on
global
scale.
BMC Genomics,
Journal Year:
2025,
Volume and Issue:
26(1)
Published: Jan. 10, 2025
Abstract
Background
The
profitability
of
the
beef
industry
is
directly
influenced
by
fertility
rate
and
reproductive
performance
both
males
females,
which
can
be
improved
through
selective
breeding.
When
performing
genomic
analyses,
genetic
markers
located
on
X
chromosome
have
been
commonly
ignored
despite
being
one
largest
chromosomes
in
cattle
genome.
Therefore,
primary
objectives
this
study
were
to:
(1)
estimate
variance
components
parameters
for
eighteen
male
five
female
traits
Nellore
including
analyses;
(2)
perform
genome-wide
association
studies
functional
analyses
to
better
understand
background
cattle.
Results
percentage
total
direct
heritability
(h
2
)
explained
x
ranged
from
3
32%
(average:
16.4%)
9
67%
25.61%)
traits,
respectively.
Among
related
breeding
soundness
evaluation,
overall
bull
semen
evaluation
quality
accounted
highest
proportion
h
relative
with
an
average
39.5%
38.75%,
number
significant
per
trait
7
(seminal
vesicle
width)
43
(total
major
defects).
zero
five.
A
683,
252,
694,
382,
61,
77
genes
overlapped
regions
identified
performance,
quality,
morphology,
defects,
bulls’
key
candidate
are
PRR32
,
STK26
TMSB4X
TLR7
PRPS2
SMS
SMARCA1
UTP14A
BCORL1
.
main
gene
ontology
terms
“Oocyte
Meiosis”,
“Progesterone
Mediated
Oocyte
Maturation”,
“Thermogenesis”,
“Sperm
Flagellum”,
“Innate
Immune
Response”.
Conclusions
Our
findings
indicate
role
phenotypic
variability
reproduction
Breeding
programs
aiming
improve
these
should
consider
adding
information
their
analyses.
Frontiers in Genetics,
Journal Year:
2021,
Volume and Issue:
12
Published: Dec. 9, 2021
Livestock
production
contributes
to
a
significant
part
of
the
economy
in
developing
countries.
Although
artificial
insemination
techniques
brought
substantial
improvements
reproductive
efficiency,
male
infertility
remains
leading
challenge
livestock.
Current
strategies
for
diagnosis
largely
depend
on
evaluation
semen
parameters
and
fail
diagnose
idiopathic
most
cases.
Recent
evidences
show
that
spermatozoa
contains
suit
RNA
population
whose
profile
differs
between
fertile
infertile
males.
Studies
have
also
demonstrated
crucial
roles
spermatozoal
(spRNA)
spermatogenesis,
fertilization,
early
embryonic
development.
Thus,
spRNA
may
serve
as
unique
molecular
signatures
sperm
play
pivotal
treatment
fertility.
This
manuscript
provides
an
update
various
populations,
including
protein-coding
non-coding
RNAs,
livestock
species
their
potential
role
quality,
particularly
motility,
freezability,
The
contribution
seminal
plasma
is
discussed.
Furthermore,
we
discussed
significance
rare
RNAs
(ncRNAs)
such
long
ncRNAs
(lncRNAs)
circular
(circRNAs)
spermatogenic
events.