bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 16, 2024
Abstract
Fungal
effectors
play
crucial
roles
in
plant
infection.
Despite
low
sequence
identity,
were
recently
classified
into
structural
families.
In
this
study,
we
have
elucidated
the
structures
of
Zt-NIP1
and
Mycgr3-91409
wheat
fungal
pathogen
Zymoseptoria
tritici,
using
X-ray
crystallography
NMR.
These
displayed
a
homology
with,
respectively,
KP4
KP6α
killer
toxins,
from
UmV
dsRNA
viruses
infecting
corn
Ustilago
maydis
.
Consequently,
renamed
Zt-KP4-1
Zt-KP6-1.
Orthologs
paralogs
Zt-KP6-1
identified
,
but
not
other
fungi,
except
Ecp2
related
to
Zt-KP4-1.
Assessment
biological
activities
revealed
their
toxicity
fungi
such
as
Botrytis
cinerea
Z.
tritici
wheat.
A
novel
pipeline
relying
on
Foldseek
cysteine-pattern
constrained
HMM
searches
AlphaFold2
predicted
Uniprot
generated
comprehensive
inventory
KP6
proteins
plants.
structure-based
classification
these
four
three
super
This
provided
far-reaching
hypotheses
function
evolution.
unifying
framework
highlights
power
structure
determination
for
effectors,
functional
investigation.
PLoS Pathogens,
Год журнала:
2024,
Номер
20(6), С. e1012277 - e1012277
Опубликована: Июнь 17, 2024
Filamentous
plant
pathogens
deliver
effector
proteins
into
host
cells
to
suppress
defence
responses
and
manipulate
metabolic
processes
support
colonization.
Understanding
the
evolution
molecular
function
of
these
effectors
provides
knowledge
about
pathogenesis
can
suggest
novel
strategies
reduce
damage
caused
by
pathogens.
However,
are
highly
variable,
share
weak
sequence
similarity
and,
although
they
be
grouped
according
their
structure,
only
a
few
structurally
conserved
families
have
been
functionally
characterized
date.
Here,
we
demonstrate
that
Zinc-finger
fold
(ZiF)
secreted
form
diverse
family
in
blast
fungus
Magnaporthe
oryzae
.
This
relies
on
motif
for
protein
stability
is
ubiquitously
present
lineages
infecting
13
different
species,
forming
tribes.
Homologs
canonical
ZiF
effector,
AVR-Pii,
from
rice
isolates
multiple
M
lineages.
Wheat
strains
also
possess
an
AVR-Pii
like
allele
binds
Exo70
activates
immune
receptor
Pii.
Furthermore,
tribes
may
vary
bind
to,
indicating
functional
diversification
intricate
effector/host
interactome.
Altogether,
uncovered
new
with
common
has
diversified
work
expands
our
understanding
diversity
effectors,
basis
ultimately
facilitate
development
sources
pathogen
resistance.
Plant
pathogens
secrete
proteins,
known
as
effectors,
that
function
in
the
apoplast
or
inside
plant
cells
to
promote
virulence.
Effector
recognition
by
cell-surface
cytosolic
receptors
results
activation
of
defence
pathways
and
immunity.
Despite
their
importance,
our
general
understanding
fungal
effector
immunity
remains
poor.
One
complication
often
associated
with
effectors
is
high
sequence
diversity
lack
identifiable
motifs
precluding
prediction
structure
function.
In
recent
years,
several
studies
have
demonstrated
can
be
grouped
into
structural
classes,
despite
significant
variation
existence
across
taxonomic
groups.
Using
protein
X-ray
crystallography,
we
identify
a
new
class
hidden
within
secreted
xylem
(SIX)
from
Fusarium
oxysporum
f.
sp.
lycopersici
(
Fol
).
The
recognised
Avr1
(SIX4)
Avr3
(SIX1)
represent
founding
members
dual-domain
(FOLD)
class,
containing
two
distinct
domains.
AlphaFold2,
predicted
full
SIX
repertoire
show
SIX6
SIX13
are
also
FOLD
which
validated
experimentally
for
SIX6.
Based
on
comparisons,
present
three
divisions
fungi
expanded
symbionts.
Further
comparisons
demonstrate
secretes
adopt
limited
number
folds
during
infection
tomato.
This
analysis
revealed
relationship
between
transcriptionally
co-regulated
pairs.
We
make
use
understand
its
I
receptor,
leads
disease
resistance
study
represents
an
important
advance
Fol-
tomato,
extension
plant–fungal
interactions,
will
assist
development
novel
control
engineering
strategies
combat
pathogens.
Phytopathogens
secrete
effector
molecules
to
manipulate
host
immunity
and
metabolism.
Recent
advances
in
structural
genomics
have
identified
fungal
families
whose
members
adopt
similar
folds
despite
sequence
divergence,
highlighting
their
importance
virulence
immune
evasion.
To
extend
the
scope
of
comparative
structure-guided
analysis
more
evolutionarily
distant
phytopathogens
with
lifestyles,
we
used
AlphaFold2
predict
3D
structures
secretome
from
selected
plasmodiophorid,
oomycete,
gall-forming
pathogens.
Clustering
protein
based
on
homology
revealed
species-specific
expansions
a
low
abundance
known
orphan
families.
We
novel
sequence-
unrelated
but
structurally
(SUSS)
clusters,
rich
conserved
motifs
such
as
’CCG’
’RAYH’.
demonstrate
that
these
likely
play
central
role
maintaining
overall
fold.
also
SUSS
cluster
adopting
nucleoside
hydrolase-like
fold
among
various
microbes.
Notably,
ankyrin
proteins
were
significantly
expanded
plasmodiophorids,
most
being
highly
expressed
during
clubroot
disease,
suggesting
pathogenicity.
Altogether,
this
study
our
understanding
landscapes
microbes
provides
valuable
resource
for
broadening
phylogenomic
studies
across
diverse
phytopathogens.
Phytopathogens
secrete
effector
molecules
to
manipulate
host
immunity
and
metabolism.
Recent
advances
in
structural
genomics
have
identified
fungal
families
whose
members
adopt
similar
folds
despite
sequence
divergence,
highlighting
their
importance
virulence
immune
evasion.
To
extend
the
scope
of
comparative
structure-guided
analysis
more
evolutionarily
distant
phytopathogens
with
lifestyles,
we
used
AlphaFold2
predict
3D
structures
secretome
from
selected
plasmodiophorid,
oomycete,
gall-forming
pathogens.
Clustering
protein
based
on
homology
revealed
species-specific
expansions
a
low
abundance
known
orphan
families.
We
novel
sequence-
unrelated
but
structurally
(SUSS)
clusters,
rich
conserved
motifs
such
as
’CCG’
’RAYH’.
demonstrate
that
these
likely
play
central
role
maintaining
overall
fold.
also
SUSS
cluster
adopting
nucleoside
hydrolase-like
fold
among
various
microbes.
Notably,
ankyrin
proteins
were
significantly
expanded
plasmodiophorids,
most
being
highly
expressed
during
clubroot
disease,
suggesting
pathogenicity.
Altogether,
this
study
our
understanding
landscapes
microbes
provides
valuable
resource
for
broadening
phylogenomic
studies
across
diverse
phytopathogens.
Phytopathogenic
fungi
cause
enormous
yield
losses
in
many
crops,
threatening
both
agricultural
production
and
global
food
security.
To
infect
plants,
they
secrete
effectors
targeting
various
cellular
processes
the
host.
Putative
effector
genes
are
numerous
fungal
genomes,
generally
encode
proteins
with
no
sequence
homology
to
each
other
or
known
domains.
Recent
studies
have
elucidated
predicted
three-dimensional
structures
of
from
a
wide
diversity
plant
pathogenic
fungi,
revealing
limited
number
conserved
folds.
Effectors
very
diverse
amino
acid
sequences
can
thereby
be
grouped
into
families
based
on
structural
homology.
Some
different
some
expanded
specific
taxa.
Here,
we
describe
features
these
discuss
recent
advances
predicting
new
families.
We
highlight
contribution
analyses
deepen
our
understanding
function
evolution
effectors.
also
prospects
offered
by
modeling
for
studying
virulence
targets
plants.
G3 Genes Genomes Genetics,
Год журнала:
2024,
Номер
14(5)
Опубликована: Март 20, 2024
Abstract
Transposable
elements
(TEs)
are
repetitive
DNA
that
can
create
genome
structure
and
regulation
variability.
The
of
Rhizophagus
irregularis,
a
widely
studied
arbuscular
mycorrhizal
fungus
(AMF),
comprises
∼50%
sequences
include
TEs.
Despite
their
abundance,
two-thirds
TEs
remain
unclassified,
among
AMF
life
stages
remains
unknown.
Here,
we
aimed
to
improve
our
understanding
TE
diversity
in
this
model
species
by
curating
repeat
datasets
obtained
from
chromosome-level
assemblies
investigating
expression
across
multiple
conditions.
Our
analyses
uncovered
new
superfamilies
families
symbiont
revealed
significant
differences
how
these
evolve
both
within
between
R.
irregularis
strains.
With
curated
annotation,
also
found
the
number
upregulated
colonized
roots
is
4
times
higher
than
extraradical
mycelium,
overall
differs
depending
on
plant
host.
This
work
provides
fine-scale
view
evolution
symbionts
highlights
transcriptional
dynamism
specificity
during
host–microbe
interactions.
We
provide
Hidden
Markov
Model
profiles
domains
for
future
manual
curation
uncharacterized
(https://github.com/jordana-olive/TE-manual-curation/tree/main).
Annual Review of Genomics and Human Genetics,
Год журнала:
2024,
Номер
25(1), С. 123 - 140
Опубликована: Апрель 15, 2024
The
last
five
years
have
seen
impressive
progress
in
deep
learning
models
applied
to
protein
research.
Most
notably,
sequence-based
structure
predictions
transformative
gains
the
form
of
AlphaFold2
and
related
approaches.
Millions
missense
variants
human
population
lack
annotations,
these
computational
methods
are
a
valuable
means
prioritize
for
further
analysis.
Here,
we
review
recent
prediction
variants,
with
particular
emphasis
on
their
implications
genetics
health.
Improved
structures
facilitates
annotations
impact
stability,
protein–protein
interaction
interfaces,
small-molecule
binding
pockets.
Moreover,
it
contributes
study
host–pathogen
interactions
characterization
function.
As
genome
sequencing
large
cohorts
becomes
increasingly
prevalent,
believe
that
better
integration
state-of-the-art
informatics
technologies
into
research
is
paramount
importance.