Trends in Plant Science,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 1, 2025
Crops
based
on
mixtures
of
species
or
genotypes
support
yield
stability
by
providing
multiple
ecosystem
services.
However,
the
genetic,
molecular,
and
evolutionary
dynamics
underlying
co-adaptation
within
such
must
be
understood
to
optimize
beneficial
plant-plant
interactions.
We
therefore
propose
agroecological
genomics
as
an
integrated
quantitative
population
genetics
approach
that
can
combined
with
cutting-edge
omics
methods
participatory
science.
This
strategy
embraces
heterogeneity
agroecosystems
derived
from
interactions
between
biotic
physical
environmental
components
climate,
crop
management,
socio-cultural
factors
exploiting
decentralized
research.
The
integration
results
will
reveal
whole-genome
patterns
in
mixtures,
leading
greater
knowledge
key
traits
drive
adaptation
well
development
innovative
tools
for
mixed-crop
breeding.
Molecular Biology and Evolution,
Год журнала:
2021,
Номер
38(12), С. 5782 - 5805
Опубликована: Сен. 1, 2021
Abstract
Drosophila
melanogaster
is
a
leading
model
in
population
genetics
and
genomics,
growing
number
of
whole-genome
data
sets
from
natural
populations
this
species
have
been
published
over
the
last
years.
A
major
challenge
integration
disparate
sets,
often
generated
using
different
sequencing
technologies
bioinformatic
pipelines,
which
hampers
our
ability
to
address
questions
about
evolution
species.
Here
we
these
issues
by
developing
bioinformatics
pipeline
that
maps
pooled
(Pool-Seq)
reads
D.
hologenome
consisting
fly
symbiont
genomes
estimates
allele
frequencies
either
heuristic
(PoolSNP)
or
probabilistic
variant
caller
(SNAPE-pooled).
We
use
generate
largest
repository
genomic
available
for
date,
encompassing
271
previously
unpublished
samples
100
locations
>20
countries
on
four
continents.
Several
sampled
at
seasons
across
multiple
This
set,
call
Evolution
Space
Time
(DEST),
coupled
with
sampling
environmental
metadata.
web-based
genome
browser
web
portal
provide
easy
access
SNP
set.
further
guidelines
how
Pool-Seq
model-based
demographic
inference.
Our
aim
scalable
platform
as
community
resource
can
be
easily
extended
via
future
efforts
an
even
more
extensive
cosmopolitan
will
enable
geneticists
analyze
spatiotemporal
genetic
patterns
evolutionary
dynamics
unprecedented
detail.
Science,
Год журнала:
2022,
Номер
377(6611), С. 1206 - 1211
Опубликована: Сен. 8, 2022
Parasites
impose
fitness
costs
on
their
hosts.
Biologists
often
assume
that
natural
selection
favors
infection-resistant
Yet,
when
the
immune
response
itself
is
costly,
theory
suggests
may
sometimes
favor
loss
of
resistance,
which
result
in
alternative
stable
states
where
some
populations
are
resistant
and
others
tolerant.
Intraspecific
variation
rarely
surveyed
a
manner
tests
evolutionary
patterns,
there
few
examples
adaptive
resistance.
Here,
we
show
marine
threespine
stickleback
colonized
freshwater
lakes,
they
gained
resistance
to
freshwater-associated
cestode
Schistocephalus
solidus.
Extensive
peritoneal
fibrosis
inflammation
commonly
observed
phenotype
contributes
suppression
growth
viability
but
also
imposes
substantial
cost
fecundity.
Combining
genetic
mapping
population
genomics,
find
opposing
generates
system
differences
between
tolerant
populations,
consistent
with
divergent
optimization.
Abstract
Summary
Pool
sequencing
is
an
efficient
method
for
capturing
genome-wide
allele
frequencies
from
multiple
individuals,
with
broad
applications
such
as
studying
adaptation
in
Evolve-and-Resequence
experiments,
monitoring
of
genetic
diversity
wild
populations,
and
genotype-to-phenotype
mapping.
Here,
we
present
grenedalf,
a
command
line
tool
written
C++
that
implements
common
population
statistics
θ,
Tajima’s
D,
FST
sequencing.
It
orders
magnitude
faster
than
current
tools,
focused
on
providing
usability
scalability,
while
also
offering
plethora
input
file
formats
convenience
options.
Availability
implementation
grenedalf
published
under
the
GPL-3,
freely
available
at
github.com/lczech/grenedalf.
Molecular Ecology,
Год журнала:
2022,
Номер
31(13), С. 3642 - 3657
Опубликована: Май 12, 2022
Abstract
Metabolic
resistance
to
pyrethroids
is
a
menace
the
continued
effectiveness
of
malaria
vector
controls.
Its
molecular
basis
complex
and
varies
geographically
across
Africa.
Here,
we
used
multi‐omics
approach,
followed‐up
with
functional
validation
show
that
directionally
selected
haplotype
cytochrome
P450,
CYP9K1
major
driver
in
Anopheles
funestus
.
A
PoolSeq
GWAS
using
mosquitoes
alive
dead
after
permethrin
exposure,
from
Malawi
Cameroon,
detected
candidate
genomic
regions,
but
lacked
consistency
replicates.
Targeted
sequencing
genes
several
SNPs
associated
known
pyrethroid
QTLs.
The
most
significant
were
P450
CYP304B1
(Cameroon),
CYP315A1
(Uganda)
ABC
transporter
gene
ABCG4
(Malawi).
However,
when
comparing
field
resistant
laboratory
susceptible,
locus
rp1
around
consistently
significant,
except
for
Uganda
where
was
markedly
significant.
In
vitro
heterologous
metabolism
assays
recombinant
revealed
it
metabolises
type
II
(deltamethrin;
64%
depletion)
not
I
(permethrin;
0%),
while
moderately
metabolising
DDT
(17%).
exhibited
reduced
genetic
diversity
underlying
an
extensive
selective
sweep.
Furthermore,
glycine
alanine
(G454A)
amino
acid
change
fixed
Ugandan
other
An
populations.
This
study
sheds
further
light
on
evolution
metabolic
by
implicating
more
variants
can
be
design
field‐applicable
markers
better
track
Africa‐wide.
Philosophical Transactions of the Royal Society B Biological Sciences,
Год журнала:
2025,
Номер
380(1919)
Опубликована: Фев. 13, 2025
The
evolution
of
molecular
and
phenotypic
traits
is
commonly
modelled
using
Markov
processes
along
a
phylogeny.
This
phylogeny
can
be
tree,
or
network
if
it
includes
reticulations,
representing
events
such
as
hybridization
admixture.
Computing
the
likelihood
data
observed
at
leaves
costly
size
complexity
grows.
Efficient
algorithms
exist
for
trees,
but
cannot
applied
to
networks.
We
show
that
vast
array
models
trait
phylogenetic
networks
reformulated
graphical
models,
which
efficient
belief
propagation
exist.
provide
brief
review
on
general
then
focus
linear
Gaussian
continuous
traits.
how
techniques
exact
approximate
(but
more
scalable)
gradient
calculations,
prove
novel
results
parameter
inference
some
models.
highlight
possible
fruitful
interactions
between
methods.
For
example,
approaches
have
potential
greatly
reduce
computational
costs
phylogenies
with
reticulations.
Environmental DNA,
Год журнала:
2023,
Номер
5(5), С. 1048 - 1064
Опубликована: Авг. 9, 2023
Abstract
Molecular
techniques
using
DNA
retrieved
from
community
or
environmental
samples,
in
particular
(eDNA),
are
becoming
increasingly
popular
for
detecting
individual
species,
assessing
biodiversity,
and
quantifying
ecological
indices.
More
recently,
eDNA
has
also
been
proposed
as
a
template
population
genetics,
several
studies
have
already
tested
the
feasibility
of
this
approach,
mostly
looking
at
vertebrate
species.
Their
results
along
with
general
opportunities
offered
by
these
types
“community‐based”
such
possibility
to
target
multiple
species
same
time,
generated
great
enthusiasm
expectations
genetics.
However,
not
every
aspect
genetics
can
be
addressed
eDNA‐based
data
some
inherent
limitations
may
challenge
its
conclusions.
Here,
we
firstly
review
state
current
knowledge
samples
Then,
focusing
on
eDNA,
summarize
but
detail
four
main
use
population‐level
inferences,
namely,
(1)
difficulty
retrieve
species‐specific
dataset,
(2)
potential
lack
correlation
between
observed
true
allelic
frequencies,
(3)
loss
information
multi‐locus
genotyping
linkage
loci,
(4)
uncertainty
about
individuals
contributing
sampled
pool
(e.g.,
number,
life‐stage,
sex).
Some
might
overcome
development
new
technologies
models
that
account
specificities
eDNA.
Others,
however,
inherent,
their
effect
inferences
must
thoroughly
evaluated.
The
gaining
insights
into
genetic
diversity
structure
is
appealing
scientists,
conservation
managers,
other
practitioners.
Yet,
avoid
false
incorrect
it
imperative
known
considered
alongside
advantages.
CABI Agriculture and Bioscience,
Год журнала:
2024,
Номер
5(1)
Опубликована: Авг. 17, 2024
Abstract
In
an
era
marked
by
rapid
global
changes,
the
reinforcement
and
modernization
of
plant
health
surveillance
systems
have
become
imperative.
Sixty-five
scientists
present
here
a
research
agenda
for
enhanced
modernized
to
anticipate
mitigate
disease
pest
emergence.
Our
approach
integrates
wide
range
scientific
fields
(from
life,
social,
physical
engineering
sciences)
identifies
key
knowledge
gaps,
focusing
on
anticipation,
risk
assessment,
early
detection,
multi-actor
collaboration.
The
directions
we
propose
are
organized
around
four
complementary
thematic
axes.
first
axis
is
anticipation
emergence,
encompassing
innovative
forecasting,
adaptive
potential,
effects
climatic
cropping
system
changes.
second
addresses
use
versatile
broad-spectrum
tools,
including
molecular
or
imaging
diagnostics
supported
artificial
intelligence,
monitoring
generic
matrices
such
as
air
water.
third
focuses
known
pests
from
new
perspectives,
i.e.,
using
novel
approaches
detect
species
but
also
anticipating
detecting,
within
species,
populations
genotypes
that
pose
higher
risk.
fourth
advocates
management
commons
through
establishment
cooperative
long-term
data-driven
alert
information
dissemination.
We
stress
importance
integrating
data
multiple
sources
open
science
databases
metadata,
alongside
developing
methods
interpolating
extrapolating
incomplete
data.
Finally,
advocate
Integrated
Health
Surveillance
in
One
context,
favoring
tailored
solutions
problems
recognizing
interconnected
risks
plants,
humans,
animals
environment,
food
insecurity,
pesticide
residues,
environmental
pollution
alterations
ecosystem
services.
G3 Genes Genomes Genetics,
Год журнала:
2021,
Номер
11(12)
Опубликована: Окт. 2, 2021
Abstract
Drosophila
suzukii,
or
spotted-wing
drosophila,
is
now
an
established
pest
in
many
parts
of
the
world,
causing
significant
damage
to
numerous
fruit
crop
industries.
Native
East
Asia,
D.
suzukii
infestations
started
United
States
a
decade
ago,
occupying
wide
range
climates.
To
better
understand
invasion
ecology
this
pest,
knowledge
past
migration
events,
population
structure,
and
genetic
diversity
needed.
In
study,
we
sequenced
whole
genomes
237
individual
flies
collected
across
continental
States,
as
well
several
sites
Europe,
Brazil,
identify
analyze
hundreds
thousands
markers.
We
observed
strong
structure
between
Western
Eastern
US
populations,
but
no
evidence
any
different
latitudes
within
suggesting
that
there
are
broad-scale
adaptations
occurring
response
differences
winter
detect
admixture
from
Hawaii
agreement
with
previously
identified
introduction
routes
inferred
microsatellite
analysis.
also
potential
signals
back
which
could
have
important
implications
for
shipping
quarantine
policies
exported
agriculture.
anticipate
large
genomic
dataset
will
spur
future
research
into
underlying
activity
development
novel
control
methods
agricultural
pest.
Abstract
Fluctuations
in
the
strength
and
direction
of
natural
selection
through
time
are
a
ubiquitous
feature
life
on
Earth.
One
evolutionary
outcome
such
fluctuations
is
adaptive
tracking,
wherein
populations
rapidly
adapt
from
standing
genetic
variation.
In
certain
circumstances,
tracking
can
lead
to
long-term
maintenance
functional
polymorphism
despite
allele
frequency
change
due
selection.
Although
likely
common
process,
we
still
have
limited
understanding
aspects
its
architecture
relative
other
forces
as
drift.
Drosophila
melanogaster
living
temperate
regions
evolve
track
seasonal
an
excellent
system
tackle
these
gaps
knowledge.
By
sequencing
orchard
collected
across
multiple
years,
characterized
genomic
signal
demography
identified
that
cosmopolitan
inversion
In(2L)t
facilitates
shows
molecular
footprints
A
meta-analysis
phenotypic
studies
loci
within
associated
with
behavior,
history,
physiology,
morphological
traits.
We
identify
candidate
experimentally
link
them
phenotype.
Our
work
contributes
our
general
fluctuating
highlights
dynamics
contemporary
inversions.