Genomic Diversity as a Key Conservation Criterion: Proof‐of‐Concept From Mammalian Whole‐Genome Resequencing Data
Evolutionary Applications,
Journal Year:
2024,
Volume and Issue:
17(9)
Published: Sept. 1, 2024
ABSTRACT
Many
international,
national,
state,
and
local
organizations
prioritize
the
ranking
of
threatened
endangered
species
to
help
direct
conservation
efforts.
For
example,
International
Union
for
Conservation
Nature
(IUCN)
assesses
Green
Status
publishes
influential
Red
List
species.
Unfortunately,
such
yardsticks
do
not
explicitly
consider
genetic
or
genomic
diversity
(GD),
even
though
GD
is
positively
associated
with
contemporary
evolutionary
fitness,
individual
viability,
future
potential.
To
test
whether
populations
genome
sequences
could
improve
assessments,
we
estimated
metrics
from
82
publicly
available
mammalian
datasets
examined
their
statistical
association
attributes
related
conservation.
We
also
considered
intrinsic
biological
factors,
including
trophic
level
body
mass,
that
impact
quantified
relative
influences.
Our
results
identify
key
population
are
both
reflective
predictive
IUCN
categories.
Specifically,
our
analyses
revealed
Watterson's
theta
(the
mutation
rate)
autozygosity
(a
product
inbreeding)
current
categorization,
likely
because
demographic
declines
lead
“listing”
decisions
reduce
levels
standing
variation.
argue
by
virtue
this
relationship,
like
leverage
emerging
sequence
data
categorize
threat
rankings
(especially
in
otherwise
data‐deficient
species)
and/or
enhance
assessments
establish
a
baseline
monitoring.
Thus,
paper
(1)
outlines
theoretical
empirical
justification
new
GD‐based
assessment
criterion,
(2)
provides
bioinformatic
pipeline
estimating
data,
(3)
suggests
an
analytical
framework
can
be
used
measure
while
providing
quantitative
context
consideration
authorities.
Language: Английский
Mutation rate is central to understanding evolution
American Journal of Botany,
Journal Year:
2024,
Volume and Issue:
111(10)
Published: Oct. 1, 2024
Darwinian
evolution
relies
on
mutation
as
a
constant
source
of
variation,
yet
in
evolutionary
biology,
is
often
taken
for
granted,
pushed
to
the
background
and
treated
if
it
was
random
uniform
across
all
genes
species.
Mutation
an
essential
parameter
many
models,
although
regarded
"nuisance
parameter"
rather
than
focus
interest—but
fundamental
driver
evolution.
Studying
how
rates
patterns
are
shaped
by
chance
selection
critical
understanding
biodiversity,
has
practical
consequences
way
we
use
DNA
understand
history.
Many
analyses—including
genomics,
population
genetics,
phylogenetics—make
simplifying
assumptions
about
rate,
nature
these
can
influence
answers
get
(e.g.,
Ritchie
et
al.,
2022).
rate
balancing
act,
playing
out
at
different
levels
simultaneously.
At
biochemical
level,
single-base
changes
sequences
result
from
replication
errors
or
imperfectly
repaired
damage.
Cells
have
impressive
arsenal
equipment
repairing
damage
correcting
errors,
but
repair
must
be
"paid
for"
energy
time,
which
could
otherwise
invested
growth
reproduction
(Avila
Lehmann,
2023).
Individuals
vary
efficiency,
amount
available
invest
repair,
therefore
their
mutation.
On
longer
timescales,
lineage
persistence
depends
finding
balance
between
risk
costs
error
correction
repair.
Undirected
functional
typically
more
likely
ruin
improve,
so
expected
exact
cost
terms
chances
success.
If
too
high,
offspring
might
not
reliably
inherit
parents'
advantageous
traits,
provides
generating
variations
that
allow
individuals
better
survive
changing
environment
increased
avoiding
parasites
predators.
there
little
mutation,
grinds
halt.
much
runs
into
ground,
scrambling
hereditary
message
passed
subsequent
generations
overwriting
adaptations.
The
relative
risks
benefits
may
lineages
depend
upon
environment,
shifting
when
adapt
conditions
(Weng
2021).
beneficial
variation
destroying
key
genome
functions.
This
act
plays
individual
lives
over
time.
governed
happen
they
repaired,
both
among
organisms.
Considering
one
universal
mutagen—ultraviolet
(UV)
light—provides
useful
illustration.
UV
light
double-helix
affect
base
sequence
causing
two
adjacent
pyrimidines
pair
with
each
other
instead
pairing
bases
opposite
strand.
Pyrimidine
dimers
effects:
firstly,
disrupting
ruins
information
coding
capacity
DNA;
secondly,
awkward
bump
helix,
block
movement
enzymes
copy
transcribe
DNA.
dimer
cannot
copied
expressed
(Banaś
2020).
To
avoid
this
disaster,
cells
range
responses
damage—from
specialist
reverse
damage,
general
mismatch
excise
replace
damaged
bases,
last-ditch
"SOS
response"
uses
any
means
past
continue
copy.
One
expect
plant
grow
where
radiation
high
will
higher
rates,
don't
(Bromham
2015).
Individual
plants
exposed
suffer
response,
increase
investment
protection
(Ries
2000).
An
able
reproduce
populations
living
exposure
evolve
avoidance
mechanisms
Lineages
only
persist
successfully
under
prevailing
conditions.
It
seems
does
correlate
environmental
because
level
scaled
exposure,
matching
risk.
also
applies
errors.
Every
cell
division
generates
accumulate
mutations
grow.
Nonlethal
growing
lines,
incorporated
reproductive
structures
clonally
reproducing
tissue,
"somatic"
make
new
individuals,
adding
genetic
(Gross
2012).
Accumulation
somatic
leads
within
(Schoen
Schultz,
2019).
Growing
branches
mutations,
number
differences
tips
branch
length
age
(Orr
Roots
fewer
possibly
go
through
divisions
(Wang
Ramets
producing
changes,
introducing
parts
colony
(Yu
process
divergence
continuous
organisation:
cell,
individual,
population,
lineage.
Copy
same
extrinsic
Accurate
copying
requires
correction,
taking
time
resources
reproduction,
should
scale
avoidance.
Investment
dependent
condition,
stress
(Quiroz
Male
female
gametes
mutational
profiles,
transmitted
pollen
ovules—a
pattern
explained
greater
paternal
line,
mutagens
like
(Whittle
Johnston,
2002).
Replication
evidence
per
"disposable"
such
petals,
compared
lines
longer-lived
give
rise
tissue
Longer-lived
reduced
due
meristem
(Burian,
Rate
accumulation
(opportunity
mutation)
(investment
avoidance)
play
levels.
influences
strategies,
driving
incompatibility
individuals.
Mutations
occurring
along
long-lived
lead
fitness
plant,
deleterious
(Cruzan
2022),
types
(López-Cortegano
occur
vegetative
short-lived
plants—for
example,
phenotypically
noticeable
buttercups
increases
meadow,
percentage
nonviable
(Warren,
2009).
drive
clonal
generate
genetically
varying
vegetatively
Somatic
supply
reducing
sexual
locking
short-term
advantages
asexual
expense
longer-term
reduces
compatibility
ultimately
noninterbreeding
(Lesaffre,
2021),
flowing
macroevolutionary
diversification
(Marie-Orleach
2024).
Plant
families
species
rich,
driven
How
varies
passively
increasing
divisions)
actively
lived
taxa).
distribution
effects
(DFE)
tempo
mode
change
larger
fraction
subject
positive
selection).
consistent
signature
size
association
fixation
nearly
neutral
smaller
populations,
probability
adaptive
substitutions
populations).
Whether
flow
genomic
level.
With
thanks
Marcel
Cardillo,
Alex
Skeels,
anonymous
referees
read
manuscript
provide
helpful
feedback.
Language: Английский
Population Size and Language Change: An Evolutionary Perspective
Annual Review of Linguistics,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 30, 2024
There
is
increasing
interest
in
the
way
that
size,
composition,
and
environment
of
populations
influence
their
languages
evolve.
are
two
reasons
why
an
exploration
population
language
change
from
perspective
evolutionary
biology
might
be
useful.
First,
some
relevant
hypotheses
rest
explicitly
or
implicitly
on
theories
developed
biology,
so
it
important
to
critically
evaluate
fit
these
change.
Second,
methods
have
been
applied
evaluating
hypotheses.
Instead
aiming
for
a
comprehensive
review
interaction
between
size
change,
focus
this
analogies
drawn
processes
biological
evolution
(e.g.,
founder
effects),
may
interesting
parallels
both
species
complexity
small
populations),
techniques
data
Wright-Fisher
models).
Language: Английский
Population size and language change: an evolutionary perspective
Published: Aug. 11, 2024
There
is
increasing
interest
in
the
way
that
size,
composition
and
environment
of
populations
influence
their
languages
evolve.
are
two
reasons
why
an
exploration
population
language
change
from
perspective
evolutionary
biology
might
be
useful.
Firstly,
some
relevant
hypotheses
rest
explicitly
or
implicitly
on
theories
developed
biology,
so
it
important
to
critically
evaluate
fit
these
change.
Secondly,
methods
have
been
applied
evaluating
hypotheses.
Instead
aiming
for
a
comprehensive
review
interaction
between
size
change,
focus
this
analogies
drawn
processes
biological
evolution
(e.g.
founder
effects),
may
interesting
parallels
both
species
complexity
small
populations),
techniques
data
Wright-Fisher
models).
Language: Английский