Strengthening Global Health Resilience: Marburg Virus-Like Particle Vaccines and the One Health Approach
Science in One Health,
Год журнала:
2024,
Номер
3, С. 100076 - 100076
Опубликована: Янв. 1, 2024
The
Marburg
virus
(MARV),
belonging
to
the
Язык: Английский
Genomic characterization uncovers transmission dynamics of Marburg Virus in Rwanda following a single zoonotic spillover event
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 5, 2024
Abstract
The
ongoing
outbreak
of
Marburg
virus
disease
(MVD)
in
Rwanda
marks
the
third
largest
historically,
though
it
has
exhibited
lowest
fatality
rate.
Genomic
analysis
identified
a
lineage
with
limited
internal
diversity
most
closely
related
to
genome
sequence
from
sporadic
case
sampled
2014
Uganda,
lineages
have
diverged
common
ancestor
that
was
circulating
for
decades
animal
reservoir.
Notably,
data
also
provide
evidence
resulted
single
zoonotic
transmission
event
human-to-human
transmission,
rather
than
multiple
independent
events.
Rwandan
MVD
prompted
thorough
investigation
included
contact
tracing,
clinical
assessment,
travel
history,
sequencing,
and
serology
testing,
trace
virus’s
origin.
Results
investigations
linked
index
mining
cave
inhabited
by
Rousettus
aegyptiacus
(the
Egyptian
fruit
bat),
where
three
individuals
tested
seropositive
IgG
IgM,
further
supporting
origin
through
human-animal
interactions.
Язык: Английский
Genomic and transmission dynamics of the 2024 Marburg Virus Outbreak in Rwanda
Nature Medicine,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 16, 2024
Язык: Английский
Genomic Evolution and Phylodynamics of the Species Orthomarburgvirus marburgense (Marburg and Ravn Viruses) to Understand Viral Adaptation and Marburg Virus Disease’s Transmission Dynamics
Pathogens,
Год журнала:
2024,
Номер
13(12), С. 1107 - 1107
Опубликована: Дек. 14, 2024
In
this
review,
we
investigated
the
genetic
diversity
and
evolutionary
dynamics
of
Orthomarburgvirus
marburgense
species
that
includes
both
Marburg
virus
(MARV)
Ravn
(RAVV).
Using
sequence
data
from
natural
reservoir
hosts
human
cases
reported
during
outbreaks,
conducted
comprehensive
analyses
to
explore
variability,
constructing
haplotype
networks
at
genome
gene
levels
elucidate
viral
pathways.
Our
results
revealed
distinct
trajectories
for
MARV
RAVV,
with
exhibiting
higher
adaptability
across
different
ecological
regions.
showed
substantial
evidence
varied
pressures,
suggesting
an
ability
adapt
diverse
environments.
contrast,
RAVV
demonstrated
limited
diversity,
no
detected
recombination
events,
stability.
These
differences
indicate
that,
while
continues
diversify
regions,
may
be
constrained
in
its
potential,
possibly
reflecting
differing
roles
within
ecology
species.
analysis
explains
mechanisms
these
viruses,
highlighting
is
going
through
adaptation
human-to-human
transmission,
alarmingly
underscoring
global
concern
about
causing
next
pandemic.
However,
further
transdisciplinary
One
Health
research
warranted
answer
some
remaining
questions
including
host
range
susceptibility
domestic
wildlife
as
well
role
biodiversity
network
disease’s
dynamics.
Язык: Английский
Castanet: a pipeline for rapid analysis of targeted multi-pathogen genomic data
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 2, 2024
Abstract
Motivation
Target
enrichment
strategies
generate
genomic
data
from
multiple
pathogens
in
a
single
process,
greatly
improving
sensitivity
over
metagenomic
sequencing
and
enabling
cost-effective,
high
throughput
surveillance
clinical
applications.
However,
uptake
by
research
laboratories
is
constrained
an
absence
of
computational
tools
that
are
specifically
designed
for
the
analysis
multi-pathogen
sequence
data.
Here
we
present
Castanet
pipeline:
pipeline
end-to-end
processing
consensus
generation
use
with
to
work
short-read
produced
existing
targeted
strategies,
but
can
be
readily
deployed
on
any
BAM
file
generated
another
methodology.
It
packaged
usability
features,
including
graphical
interface
installer
script.
Results
In
addition
genome
reconstruction,
reports
method-specific
metrics
enable
quantification
capture
efficiency,
estimation
pathogen
load,
differentiation
low-level
positives
contamination,
assessment
quality.
used
as
traditional
generation,
its
strength
lies
ability
process
flexible,
pre-defined
set
interest
directly
experiments.
our
tests,
sequences
were
accurate
reconstructions
reference
sequences,
instances
where
strains
same
present.
performs
effectively
standard
laptop
computers
entire
output
96-sample
run
(50M
reads)
using
batch
command,
<
2
h.
Availability
Implementation
Source
code
freely
available
under
GPL-3
license
at
https://github.com/MultipathogenGenomics/castanet
,
implemented
Python
3.10
supported
Ubuntu
Linux
22.04
other
Bash-like
environments.
The
this
study
have
been
deposited
European
Nucleotide
Archive
(ENA)
EMBL-EBI
accession
number
PRJEB77004.
Язык: Английский