BMC Bioinformatics,
Journal Year:
2022,
Volume and Issue:
23(1)
Published: Oct. 8, 2022
The
advent
of
low
cost,
high
throughput
DNA
sequencing
has
led
to
the
availability
thousands
complete
genome
sequences
for
a
wide
variety
bacterial
species.
Examining
and
interpreting
genetic
variation
on
this
scale
represents
significant
challenge
existing
methods
data
analysis
visualisation.Starting
with
output
standard
pangenome
tools,
we
describe
generation
interactive,
3D
network
graphs
explore
structure
populations,
distribution
genes
across
population,
syntenic
order
in
which
those
occur,
new
open-source
platform,
Graphia.
Both
visualisation
are
scalable
datasets
sequences.We
anticipate
that
approaches
presented
here
will
be
great
utility
microbial
research
community,
allowing
faster,
more
intuitive,
flexible
interaction
datasets,
thereby
enhancing
interpretation
these
complex
data.
Proceedings of the National Academy of Sciences,
Journal Year:
2023,
Volume and Issue:
121(1)
Published: Dec. 26, 2023
Pangenomes
exhibit
remarkable
variability
in
many
prokaryotic
species,
much
of
which
is
maintained
through
the
processes
horizontal
gene
transfer
and
loss.
Repeated
acquisitions
near-identical
homologs
can
easily
be
observed
across
pangenomes,
leading
to
question
whether
these
parallel
events
potentiate
similar
evolutionary
trajectories,
or
remarkably
different
genetic
backgrounds
recipients
mean
that
postacquisition
trajectories
end
up
being
quite
different.
In
this
study,
we
present
a
machine
learning
method
predicts
presence
absence
genes
Escherichia
coli
pangenome
based
on
complex
patterns
other
accessory
within
genome.
Our
analysis
leverages
repeated
E.
observe
evolution
following
events.
We
find
substantial
set
highly
predictable
from
alone,
indicating
selection
potentiates
maintains
gene–gene
co-occurrence
avoidance
relationships
deterministically
over
long-term
bacterial
robust
differences
host
history.
propose
at
least
part
understood
as
with
govern
their
likely
cohabitants,
analogous
an
ecosystem’s
interacting
organisms.
findings
indicate
intragenomic
fitness
effects
may
key
drivers
evolution,
influencing
emergence
pangenome.
Plants,
Journal Year:
2024,
Volume and Issue:
13(19), P. 2676 - 2676
Published: Sept. 24, 2024
With
the
development
of
new
technologies
in
recent
years,
researchers
have
made
significant
progress
crop
breeding.
Modern
breeding
differs
from
traditional
because
great
changes
technical
means
and
concepts.
Whereas
initially
focused
on
high
yields,
modern
focuses
orientations
based
different
crops’
audiences
or
by-products.
The
process
starts
creation
material
populations,
which
can
be
constructed
by
natural
mutagenesis,
chemical
physical
mutagenesis
transfer
DNA
(T-DNA),
Tos17
(endogenous
retrotransposon),
etc.
Then,
gene
function
mined
through
QTL
mapping,
Bulked-segregant
analysis
(BSA),
Genome-wide
association
studies
(GWASs),
RNA
interference
(RNAi),
editing.
at
transcriptional,
post-transcriptional,
translational
levels,
functions
genes
are
described
terms
post-translational
aspects.
This
article
mainly
discusses
application
above
scientific
technological
methods
advantages
limitations
diversity.
In
particular,
editing
technology
has
contributed
to
research.
Current Opinion in Microbiology,
Journal Year:
2024,
Volume and Issue:
78, P. 102436 - 102436
Published: Feb. 17, 2024
Bacteria
have
evolved
a
variety
of
defence
mechanisms
to
protect
against
mobile
genetic
elements,
including
restriction-modification
systems
and
CRISPR–Cas.
In
recent
years,
dozens
previously
unknown
(DSs)
been
discovered.
Notably,
diverse
DSs
often
coexist
within
the
same
genome,
some
co-occur
at
frequencies
significantly
higher
than
would
be
expected
by
chance,
implying
potential
synergistic
interactions.
Recent
studies
provided
evidence
that
enhance
or
complement
one
another.
Here,
we
review
interactions
between
mechanistic,
regulatory,
ecological
evolutionary
levels.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(21)
Published: May 14, 2024
Pangenomes
vary
across
bacteria.
Some
species
have
fluid
pangenomes,
with
a
high
proportion
of
genes
varying
between
individual
genomes.
Other
less
different
genomes
tending
to
contain
the
same
genes.
Two
main
hypotheses
been
suggested
explain
this
variation:
differences
in
species'
bacterial
lifestyle
and
effective
population
size.
However,
previous
studies
not
able
test
these
because
features
size
are
highly
correlated
each
other,
phylogenetically
conserved,
making
it
hard
disentangle
their
relative
importance.
We
used
phylogeny-based
analyses,
126
species,
tease
apart
causal
role
factors.
found
that
pangenome
fluidity
was
lower
i)
host-associated
compared
free-living
ii)
obligately
dependent
on
host,
live
inside
cells,
more
pathogenic
motile.
In
contrast,
we
no
support
for
competing
hypothesis
larger
sizes
lead
pangenomes.
Effective
appears
correlate
variation
is
also
driven
by
lifestyle,
rather
than
relationship.
Science,
Journal Year:
2024,
Volume and Issue:
386(6717), P. 87 - 92
Published: Oct. 3, 2024
Predicting
how
new
mutations
alter
phenotypes
is
difficult
because
mutational
effects
vary
across
genotypes
and
environments.
Recently
discovered
global
epistasis,
in
which
the
fitness
of
scale
with
background
genotype,
can
improve
predictions,
but
environment
modulates
this
scaling
unknown.
We
measured
~100
insertion
42
strains
Saccharomyces
cerevisiae
six
laboratory
environments
found
that
epistasis
nearly
invariant
Instead,
tunes
one
parameter,
at
most
switch
sign.
As
a
consequence,
distribution
predictable
Our
results
suggest
effective
dimensionality
genotype-to-phenotype
maps
surprisingly
low.
FEMS Microbiology Reviews,
Journal Year:
2022,
Volume and Issue:
46(4)
Published: Feb. 8, 2022
Potyviridae,
the
largest
family
of
known
RNA
viruses
(realm
Riboviria),
belongs
to
picorna-like
supergroup
and
has
important
agricultural
ecological
impacts.
Potyvirid
genomes
are
translated
into
polyproteins,
which
in
turn
hydrolyzed
release
mature
products.
Recent
sequencing
efforts
revealed
an
unprecedented
number
potyvirids
with
a
rich
variability
gene
content
genomic
layouts.
Here,
we
review
heterogeneity
non-core
modules
that
expand
structural
functional
diversity
potyvirid
proteomes.
We
provide
family-wide
classification
P1
proteinases
Types
A
B,
discuss
pretty
interesting
sweet
potato
potyviral
ORF
(PISPO),
putative
zinc
fingers,
alkylation
B
(AlkB)-non-core
found
within
cistrons.
The
atypical
inosine
triphosphate
pyrophosphatase
(ITPase/HAM1),
as
well
pseudo
tobacco
mosaic
virus-like
coat
protein
(TMV-like
CP)
discussed
alongside
homologs
unrelated
virus
taxa.
Family-wide
abundance
multitasking
helper
component
proteinase
(HC-pro)
is
revised.
Functional
connections
between
highlighted
support
host
niche
adaptation
immune
evasion
main
drivers
Potyviridae
evolutionary
radiation.
Potential
biotechnological
synthetic
biology
applications
leader
finally
explored.
Current Opinion in Microbiology,
Journal Year:
2022,
Volume and Issue:
66, P. 73 - 78
Published: Jan. 31, 2022
Prokaryote
pangenomes
are
influenced
heavily
by
environmental
factors
and
the
opportunity
for
gene
gain
loss
events.
As
field
of
pangenome
analysis
has
expanded,
so
need
to
fully
understand
complexity
how
eco-evolutionary
dynamics
shape
pangenomes.
Here,
we
describe
current
models
evolution
discuss
their
suitability
accuracy.
We
suggest
that
dynamic
entities
under
constant
flux,
highlighting
influence
two-way
interactions
between
environment.
New
classifications
core
accessory
genes
also
considered,
underscoring
continuous
evaluation
nomenclature
in
a
fast-moving
field.
conclude
future
should
incorporate
encompass
dynamic,
changeable
nature.
Computational and Structural Biotechnology Journal,
Journal Year:
2021,
Volume and Issue:
19, P. 3110 - 3124
Published: Jan. 1, 2021
Antibiotic
resistance
has
been
highlighted
by
international
organizations,
including
World
Health
Organization,
Bank
and
United
Nations,
as
one
of
the
most
relevant
global
health
problems.
Classical
approaches
to
study
this
problem
have
focused
in
infected
humans,
mainly
at
hospitals.
Nevertheless,
antibiotic
can
expand
through
different
ecosystems
geographical
allocations,
hence
constituting
a
One-Health,
Global-Health
problem,
requiring
specific
integrative
analytic
tools.
evolution
transmission
are
multilayer,
hierarchically
organized
processes
with
several
elements
(from
genes
whole
microbiome)
involved.
However,
their
traditionally
gene-centric,
each
element
independently
studied.
The
development
robust-economically
affordable
genome
sequencing
approaches,
well
other
-omic
techniques
transcriptomics
proteomics,
is
changing
panorama.
These
technologies
allow
description
system,
either
cell
or
microbiome
whole,
overcoming
problems
associated
gene-centric
approaches.
We
currently
time
combining
information
derived
from
studies
more
holistic
view
spread
resistance.
This
synthesis
process
requires
accurate
integration
into
computational
models
that
serve
analyse
causes
consequences
acquiring
AR,
fed
curated
databases
capable
identifying
involved
acquisition
In
review,
we
capacities
drawbacks
tools
use
for
analysis
aiming
identify
useful
targets
effective
corrective
interventions.
Microbial Genomics,
Journal Year:
2022,
Volume and Issue:
8(11)
Published: Nov. 23, 2022
The
Escherichia
coli
species
contains
a
diverse
set
of
sequence
types
and
there
remain
important
questions
regarding
differences
in
genetic
content
within
this
population
that
need
to
be
addressed.
Pangenomes
are
useful
vehicles
for
studying
gene
types.
Here,
we
analyse
21
E.
type
pangenomes
using
comparative
pangenomics
identify
variance
both
pangenome
structure
content.
We
present
functional
breakdowns
core
genomes
enriched
metabolism,
transcription
cell
membrane
biogenesis
genes.
also
uncover
metabolism
genes
have
variable
classification,
depending
on
which
allele
is
present.
Our
approach
allows
detailed
exploration
the
context
species.
show
ongoing
gain
loss
type-specific,
may
consequence
distinct
type-specific
evolutionary
drivers.