20 years of research on giant viruses
npj Viruses,
Journal Year:
2025,
Volume and Issue:
3(1)
Published: Feb. 11, 2025
Abstract
Some
twenty
years
ago,
the
discovery
of
first
giant
virus,
Acanthamoeba
polyphaga
mimivirus
(now
bradfordmassiliense
species),
paved
way
for
more
than
10
new
families
protist-infecting
DNA
viruses
with
unexpected
diversity
in
virion
shape
and
size,
gene
content,
genome
topology
mode
replication.
Following
their
brief
description,
we
examine
how
historical
concepts
virology
have
held
up
light
this
knowledge.
Although
initial
emphasis
was
on
gigantism
newly
described
infecting
amoebae,
subsequent
intermediate
sizes
gradually
re-established
a
continuum
between
smallest
largest
within
phylum
Nucleocytoviricota
.
Language: Английский
Cryptic infection of a giant virus in a unicellular green alga
Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 10, 2025
Latency
is
a
common
strategy
in
wide
range
of
viral
lineages,
but
its
prevalence
giant
viruses
remains
unknown.
Here
we
describe
617
kbp
integrated
element
the
model
green
alga
Chlamydomonas
reinhardtii
.
We
resolve
genome
using
long-read
sequencing,
identify
putative
polinton-like
integrase,
and
show
that
particles
accumulate
primarily
during
stationary
growth
phase.
A
diverse
array
viral-encoded
selfish
genetic
elements
expressed
activity,
including
several
Fanzor
nuclease-encoding
transposable
elements.
In
addition,
field
isolates
sp.
harbor
signatures
endogenous
related
to
C.
virus
exhibit
similar
infection
dynamics,
suggesting
latency
prevalent
natural
host
communities.
Our
work
describes
an
unusually
large
temperate
unicellular
eukaryote,
substantially
expanding
scope
cryptic
infections
virosphere.
Language: Английский
Adaptation strategies of giant viruses to low-temperature marine ecosystems
The ISME Journal,
Journal Year:
2024,
Volume and Issue:
18(1)
Published: Jan. 1, 2024
Abstract
Microbes
in
marine
ecosystems
have
evolved
their
gene
content
to
thrive
successfully
the
cold.
Although
this
process
has
been
reasonably
well
studied
bacteria
and
selected
eukaryotes,
less
is
known
about
impact
of
cold
environments
on
genomes
viruses
that
infect
eukaryotes.
Here,
we
analyzed
adaptations
giant
(Nucleocytoviricota
Mirusviricota)
from
austral
compared
them
with
Arctic
temperate
counterparts.
We
recovered
virus
metagenome-assembled
(98
Nucleocytoviricota
12
Mirusviricota
MAGs)
61
newly
sequenced
metagenomes
metaviromes
sub-Antarctic
Patagonian
fjords
Antarctic
seawater
samples.
When
analyzing
our
data
set
alongside
MAGs
already
deposited
Global
Ocean
Eukaryotic
Viral
database,
found
predominantly
inhabit
sub-10°C
environments,
featuring
a
high
proportion
unique
phylotypes
each
ecosystem.
In
contrast,
were
subject
broader
temperature
ranges
showed
lower
degree
endemicity.
However,
despite
differences
distribution,
inhabiting
low-temperature
genomic
cold-adaptation
strategies
led
changes
genetic
functions
amino
acid
frequencies
ultimately
affect
both
protein
structure.
Such
seem
be
absent
mesophilic
The
uniqueness
these
cold-adapted
may
now
threatened
by
climate
change,
leading
potential
reduction
biodiversity.
Language: Английский
Spatiotemporal dynamics of giant viruses within a deep freshwater lake reveal a distinct dark-water community
Liwen Zhang,
No information about this author
Lingjie Meng,
No information about this author
Yue Fang
No information about this author
et al.
The ISME Journal,
Journal Year:
2024,
Volume and Issue:
18(1)
Published: Jan. 1, 2024
Language: Английский
Conservative taxonomy and quality assessment of giant virus genomes with GVClass
npj Viruses,
Journal Year:
2024,
Volume and Issue:
2(1)
Published: Nov. 25, 2024
Large
double-stranded
DNA
viruses
of
the
phylum
Nucleocytoviricota
(Giant
Viruses;
GVs)
are
largest
known
viruses,
infecting
various
eukaryotic
hosts,
particularly
protists
and
algae.
These
impact
biogeochemical
cycles
host
genome
evolution
but
challenging
to
identify
classify
due
their
complex
genomes.
We
present
GVClass,
a
tool
for
identifying
giant
in
sequence
data,
providing
taxonomic
assignments,
estimating
completeness
contamination.
GVClass
employs
optimized
gene
calling
conservative
approach
using
consensus
single-protein
phylogenies
robust
classification,
relying
on
highly
conserved
orthologous
groups.
Benchmarking
demonstrates
over
90%
accuracy
at
genus-level
>99%
higher
ranks.
addresses
classification
challenges
is
available
as
standalone
integrated
into
Integrated
Microbial
Genomes/Virus
database
(IMG/VR).
Language: Английский