Life,
Год журнала:
2022,
Номер
12(11), С. 1916 - 1916
Опубликована: Ноя. 17, 2022
Plant-parasitic
nematodes
(PPNs)
bring
about
substantial
losses
of
economic
crops
globally.
With
the
environmental
and
health
issues
facing
use
chemical
nematicides,
research
efforts
should
focus
on
providing
economically
effective
safe
control
methods.
The
sound
exploitation
plant-PPN
interactions
is
fundamental
to
such
efforts.
Initially,
proper
sampling
extraction
techniques
be
followed
avoid
misleading
nematode
data.
Recent
evolutions
in
can
make
diverse
non-molecular
molecular
approaches
boost
plant
defenses.
Therefore,
PPN
increasing
crop
yields
through
single,
sequential,
dual-purpose,
simultaneous
applications
agricultural
inputs,
including
biocontrol
agents,
seriously
attempted,
especially
within
IPM
schemes.
biologicals
would
ideally
facilitated
by
production
practices
solve
related
issues.
full
investment
employ
new
views
interdisciplinary
specialties
relevant
modern
disciplines
optimize
management.
Having
an
accurate
grasp
events
will
help
developing
tools
for
control.
Nonetheless,
currently
investigated
favoring
responses,
e.g.,
resistance
genes,
RNA
interference,
marker-assisted
selection,
proteinase
inhibitors,
chemo-disruptive
peptides,
plant-incorporated
protectants,
are
key
factors
expanding
reliable
They
may
applied
broader
scales
a
improvement
yields.
Plants,
Год журнала:
2022,
Номер
11(16), С. 2141 - 2141
Опубликована: Авг. 17, 2022
Developing
control
measures
of
plant-parasitic
nematodes
(PPNs)
rank
high
as
they
cause
big
crop
losses
globally.
The
growing
awareness
numerous
unsafe
chemical
nematicides
and
the
defects
found
in
their
alternatives
are
calling
for
rational
molecular
nematodes.
This
focuses
on
using
genetically
based
plant
resistance
exploiting
mechanisms
underlying
plant–nematode
interactions.
Rapid
significant
advances
techniques
such
high-quality
genome
sequencing,
interfering
RNA
(RNAi)
gene
editing
can
offer
a
better
grasp
these
Efficient
tools
resources
emanating
from
interactions
highlighted
herein
while
issues
them
summarized.
Their
revision
clearly
indicates
dire
need
to
further
upgrade
knowledge
about
involved
host-specific
susceptibility/resistance
mediated
by
PPN
effectors,
genes,
or
quantitative
trait
loci
boost
effective
sustainable
use
economically
important
species.
Therefore,
it
is
suggested
employ
impacts
case-by-case
basis.
will
allow
us
track
optimize
according
actual
variables.
It
would
enable
precisely
fix
factors
governing
functions
expressions
combine
with
other
tactics
into
integrated
management.
Biology,
Год журнала:
2022,
Номер
11(2), С. 235 - 235
Опубликована: Фев. 1, 2022
Tomato,
one
of
the
most
cultivated
and
economically
important
vegetable
crops
throughout
world,
is
affected
by
a
panoply
different
pathogens
that
reduce
yield
affect
product
quality.
The
study
tomato–pathogen
system
arises
as
an
ideal
for
better
understanding
molecular
mechanisms
underlying
disease
resistance,
offering
opportunity
improving
quality
products.
Among
several
genes
already
identified
in
tomato
response
to
pathogens,
we
highlight
those
encoding
transcription
factors
(TFs).
TFs
act
transcriptional
activators
or
repressors
gene
expression
are
involved
large-scale
biological
phenomena.
They
key
regulators
central
components
plant
innate
immune
basal
defense
diverse
processes,
including
responses
pathogens.
Here,
present
overview
recent
studies
regarding
biotic
stresses.
Hence,
focus
on
families
TFs,
selected
their
abundance,
importance,
availability
functionally
well-characterized
members
pathogen
attack.
Tomato
TFs’
roles
possibilities
related
use
engineering
resistance
presented.
With
this
review,
intend
provide
new
insights
into
regulation
against
invading
view
breeding.
Critical Reviews in Plant Sciences,
Год журнала:
2024,
Номер
43(4), С. 211 - 290
Опубликована: Март 6, 2024
Cucurbitaceae,
the
gourd
family
of
flowering
plants,
is
a
very
large
and
diverse
family,
order
Cucurbitales,
contains
95
genera
950–980
species
food
ornamental
wild
weedy
mostly
with
high
genetic
diversity.
This
review
focused
on
most
important
cucurbit
crops
(Cucumis
sativus,
Cucumis
melo,
Cucurbita
spp.,
Citrullus
lanatus,
Momordica
charantia,
Lagenaria
siceraria,
Luffa
acutangula)
some
their
relatives
as
hosts
powdery
mildews
(CPM).
Powdery
(PM)
(Ascomycota,
Erysiphales)
are
one
frequently
encountered
easily
visible
groups
plant
pathogenic
fungi
>
900
species.
They
obligate
biotrophs,
they
colonize
above-ground
tissues,
leaves,
though
may
also
stems,
petioles,
flowers
fruits,
usually
debilitators,
not
killers.
These
parasitic
have
been
problematic
cucurbits
for
long
time
world-wide,
causing
serious
economic
losses
in
yield
quality.
All
economically
host
CPM.
Seven
PM
different
taxonomic
positions,
ranges,
geographic
distributions
ecological
requirements
known
cucurbits.
CPM
taxonomy
denomination
rapidly
changed
during
last
few
decades
through
detailed
analyses
clarifications.
At
least
three
parasitize
cucurbits:
endoparasite
Leveillula
taurica
(Lt)
marginal
importance;
two
ectoparasitic
species,
Golovinomyces
orontii
(Go),
Podosphaera
xanthii
(Px),
which
world-wide.
The
pathogens
differ
distribution,
occur
together
mixed
infections.
highly
variable
at
population
level
virulence,
race
identities,
fast
adaptation
pathogens.
Cucurbit-CPM
interactions
complicated,
between
respective
pathogen
Here
we
present
critical
overview
obstacles,
gaps
recent
progress
these
matters
six
respect
to
resistance
resources,
genetics
resistance,
mapping
development
molecular
markers,
physiology
mechanisms
developments
mlo-mediated
patents,
breeding.
Pepper
(Capsicum
annuum)
is
an
important
vegetable
crop
that
has
been
subjected
to
intensive
breeding,
resulting
in
limited
genetic
diversity,
especially
for
sweet
peppers.
Previous
studies
have
reported
pepper
draft
genome
assemblies
using
short
read
sequencing,
but
their
capture
of
the
extent
large
structural
variants
(SVs),
such
as
presence-absence
(PAVs),
inversions,
and
copy-number
(CNVs)
complex
falls
short.
In
this
study,
we
sequenced
genomes
representative
hot
accessions
by
long-read
and/or
linked-read
methods
advanced
scaffolding
technologies.
First,
developed
a
high-quality
reference
cultivar
'Dempsey'
then
used
identify
SVs
11
other
constructed
graph-based
pan-genome
pepper.
We
annotated
average
42
972
gene
families
each
accession,
defining
set
19
662
core
23
115
non-core
families.
The
new
includes
informative
variants,
222
159
PAVs,
12
322
CNVs,
16
032
inversions.
Pan-genome
analysis
revealed
PAVs
associated
with
agricultural
traits,
including
potyvirus
resistance,
fruit
color,
pungency,
orientation.
Comparatively,
number
genes
are
affected
which
positively
correlated
high
frequency
transposable
elements
(TEs),
indicating
TEs
play
key
role
shaping
genomic
landscape
datasets
presented
herein
provide
powerful
resource
genome-assisted
breeding
improvement.
Agronomy,
Год журнала:
2023,
Номер
13(9), С. 2339 - 2339
Опубликована: Сен. 8, 2023
Recognition
and
localization
of
fruits
are
key
components
to
achieve
automated
fruit
picking.
However,
current
neural-network-based
recognition
algorithms
have
disadvantages
such
as
high
complexity.
Traditional
stereo
matching
also
low
accuracy.
To
solve
these
problems,
this
study
targeting
greenhouse
tomatoes
proposed
an
algorithm
framework
based
on
YOLO-TomatoSeg,
a
lightweight
tomato
instance
segmentation
model
improved
from
YOLOv5n-seg,
accurate
approach
using
RAFT-Stereo
disparity
estimation
least
squares
point
cloud
fitting.
First,
binocular
images
were
captured
camera
system.
The
left
image
was
processed
by
YOLO-TomatoSeg
segment
instances
generate
masks.
Concurrently,
estimated
for
computing
the
original
depth
cloud.
Then,
clipped
masks
isolate
clouds,
which
further
preprocessed.
Finally,
sphere
fitting
method
3D
centroid
co-ordinates
radii
clouds
spherical
models.
experimental
results
showed
that,
in
stage,
replaced
Backbone
network
YOLOv5n-seg
with
building
blocks
ShuffleNetV2
incorporated
SE
attention
module,
reduced
complexity
while
improving
Ultimately,
achieved
AP
99.01%
size
only
2.52
MB,
significantly
outperforming
mainstream
models
Mask
R-CNN
(98.30%
AP)
YOLACT
(96.49%
AP).
68.3%
compared
model.
In
at
range
280
mm
480
mm,
average
error
affected
occlusion
sunlight
conditions.
maximum
±5.0
meeting
accuracy
requirements
tomato-picking
robots.
This
developed
tomato,
can
facilitate
research,
development,
application
fruit-picking
Critical Reviews in Plant Sciences,
Год журнала:
2022,
Номер
41(5), С. 321 - 350
Опубликована: Сен. 3, 2022
AbstractTomato
is
an
important
vegetable
crop
for
fresh
and
processed
products.
In
the
past
decades,
conventional
breeding
cum
marker-assisted
selection
(MAS)
has
been
deployed
widely
to
develop
modern
tomato
cultivars
with
desirable
agronomic
traits,
market
classes,
consumer
preferences.
The
rapid
developments
in
sequencing
technologies
reduced
costs
per
sample,
high-throughput
single
nucleotide
polymorphism
(SNP)
genotyping
platforms,
bioinformatics
tools
have
revolutionized
improvement
programs,
deciphered
genome
sequence
2012.
Since
then
thousands
of
cultivated,
its
close
relatives,
wild
species
resequenced
analyze
structural
variants
population
structure,
genetic
diversity,
high-density
map
construction
so
on.
Further,
pan-genomes
constructed
search
genomics
regions
associated
traits
expedite
process.
Importantly,
genomics-assisted
research
begun
tomatoes
identification
genes,
SNP
markers
phenotypic
variation
by
applying
resequencing,
genome-wide
association
studies
(GWAS)
using
array,
genotyping-by-sequencing
techniques.
genomic
(GS)
method
expected
increase
efficiency
gain
rapidly.
This
review
provides
latest
information
on
progress
MAS
pan-genomes,
genotyping,
GWAS,
GS
tomatoes.Keywords:
Breedinggenome
sequencinggenomics-assisted
breedingmarker-assisted
selectionSNPtomato
AcknowledgmentsThe
authors
thank
ICAR-IIVR,
Varanasi
necessary
support.
Thanks
ICAR-Lal
Bahadur
Shastri
Outstanding
Young
Scientist
Award
project
JKT.