---
_id: '1191'
abstract:
- lang: eng
text: Variation in genotypes may be responsible for differences in dispersal rates,
directional biases, and growth rates of individuals. These traits may favor certain
genotypes and enhance their spatiotemporal spreading into areas occupied by the
less advantageous genotypes. We study how these factors influence the speed of
spreading in the case of two competing genotypes under the assumption that spatial
variation of the total population is small compared to the spatial variation of
the frequencies of the genotypes in the population. In that case, the dynamics
of the frequency of one of the genotypes is approximately described by a generalized
Fisher–Kolmogorov–Petrovskii–Piskunov (F–KPP) equation. This generalized F–KPP
equation with (nonlinear) frequency-dependent diffusion and advection terms admits
traveling wave solutions that characterize the invasion of the dominant genotype.
Our existence results generalize the classical theory for traveling waves for
the F–KPP with constant coefficients. Moreover, in the particular case of the
quadratic (monostable) nonlinear growth–decay rate in the generalized F–KPP we
study in detail the influence of the variance in diffusion and mean displacement
rates of the two genotypes on the minimal wave propagation speed.
acknowledgement: "We thank Nick Barton, Katarína Bod’ová, and Sr\r\n-\r\ndan Sarikas
for constructive feed-\r\nback and support. Furthermore, we would like to express
our deep gratitude to the anonymous referees (one\r\nof whom, Jimmy Garnier, agreed
to reveal his identity) and the editor Max Souza, for very helpful and\r\ndetailed
comments and suggestions that significantly helped us to improve the manuscript.
This project has\r\nreceived funding from the European Union’s Seventh Framework
Programme for research, technological\r\ndevelopment and demonstration under Grant
Agreement 618091 Speed of Adaptation in Population Genet-\r\nics and Evolutionary
Computation (SAGE) and the European Research Council (ERC) Grant No. 250152\r\n(SN),
from the Scientific Grant Agency of the Slovak Republic under the Grant 1/0459/13
and by the Slovak\r\nResearch and Development Agency under the Contract No. APVV-14-0378
(RK). RK would also like to\r\nthank IST Austria for its hospitality during the
work on this project."
author:
- first_name: Richard
full_name: Kollár, Richard
last_name: Kollár
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
citation:
ama: Kollár R, Novak S. Existence of traveling waves for the generalized F–KPP equation.
Bulletin of Mathematical Biology. 2017;79(3):525-559. doi:10.1007/s11538-016-0244-3
apa: Kollár, R., & Novak, S. (2017). Existence of traveling waves for the generalized
F–KPP equation. Bulletin of Mathematical Biology. Springer. https://doi.org/10.1007/s11538-016-0244-3
chicago: Kollár, Richard, and Sebastian Novak. “Existence of Traveling Waves for
the Generalized F–KPP Equation.” Bulletin of Mathematical Biology. Springer,
2017. https://doi.org/10.1007/s11538-016-0244-3.
ieee: R. Kollár and S. Novak, “Existence of traveling waves for the generalized
F–KPP equation,” Bulletin of Mathematical Biology, vol. 79, no. 3. Springer,
pp. 525–559, 2017.
ista: Kollár R, Novak S. 2017. Existence of traveling waves for the generalized
F–KPP equation. Bulletin of Mathematical Biology. 79(3), 525–559.
mla: Kollár, Richard, and Sebastian Novak. “Existence of Traveling Waves for the
Generalized F–KPP Equation.” Bulletin of Mathematical Biology, vol. 79,
no. 3, Springer, 2017, pp. 525–59, doi:10.1007/s11538-016-0244-3.
short: R. Kollár, S. Novak, Bulletin of Mathematical Biology 79 (2017) 525–559.
date_created: 2018-12-11T11:50:38Z
date_published: 2017-03-01T00:00:00Z
date_updated: 2021-01-12T06:48:58Z
day: '01'
department:
- _id: NiBa
doi: 10.1007/s11538-016-0244-3
ec_funded: 1
intvolume: ' 79'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1607.00944
month: '03'
oa: 1
oa_version: Preprint
page: 525-559
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Bulletin of Mathematical Biology
publication_status: published
publisher: Springer
publist_id: '6160'
quality_controlled: '1'
scopus_import: 1
status: public
title: Existence of traveling waves for the generalized F–KPP equation
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 79
year: '2017'
...
---
_id: '9849'
abstract:
- lang: eng
text: This text provides additional information about the model, a derivation of
the analytic results in Eq (4), and details about simulations of an additional
parameter set.
article_processing_charge: No
author:
- first_name: Marta
full_name: Lukacisinova, Marta
id: 4342E402-F248-11E8-B48F-1D18A9856A87
last_name: Lukacisinova
orcid: 0000-0002-2519-8004
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
citation:
ama: Lukacisinova M, Novak S, Paixao T. Modelling and simulation details. 2017.
doi:10.1371/journal.pcbi.1005609.s001
apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Modelling and simulation
details. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s001
chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Modelling and
Simulation Details.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s001.
ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Modelling and simulation details.”
Public Library of Science, 2017.
ista: Lukacisinova M, Novak S, Paixao T. 2017. Modelling and simulation details,
Public Library of Science, 10.1371/journal.pcbi.1005609.s001.
mla: Lukacisinova, Marta, et al. Modelling and Simulation Details. Public
Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.s001.
short: M. Lukacisinova, S. Novak, T. Paixao, (2017).
date_created: 2021-08-09T14:02:34Z
date_published: 2017-07-18T00:00:00Z
date_updated: 2023-02-23T12:55:39Z
day: '18'
department:
- _id: ToBo
- _id: NiBa
- _id: CaGu
doi: 10.1371/journal.pcbi.1005609.s001
month: '07'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '696'
relation: used_in_publication
status: public
status: public
title: Modelling and simulation details
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9850'
abstract:
- lang: eng
text: In this text, we discuss how a cost of resistance and the possibility of lethal
mutations impact our model.
article_processing_charge: No
author:
- first_name: Marta
full_name: Lukacisinova, Marta
id: 4342E402-F248-11E8-B48F-1D18A9856A87
last_name: Lukacisinova
orcid: 0000-0002-2519-8004
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
citation:
ama: Lukacisinova M, Novak S, Paixao T. Extensions of the model. 2017. doi:10.1371/journal.pcbi.1005609.s002
apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Extensions of the model.
Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s002
chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Extensions of
the Model.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s002.
ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Extensions of the model.” Public
Library of Science, 2017.
ista: Lukacisinova M, Novak S, Paixao T. 2017. Extensions of the model, Public Library
of Science, 10.1371/journal.pcbi.1005609.s002.
mla: Lukacisinova, Marta, et al. Extensions of the Model. Public Library
of Science, 2017, doi:10.1371/journal.pcbi.1005609.s002.
short: M. Lukacisinova, S. Novak, T. Paixao, (2017).
date_created: 2021-08-09T14:05:24Z
date_published: 2017-07-18T00:00:00Z
date_updated: 2023-02-23T12:55:39Z
day: '18'
department:
- _id: ToBo
- _id: CaGu
- _id: NiBa
doi: 10.1371/journal.pcbi.1005609.s002
month: '07'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '696'
relation: used_in_publication
status: public
status: public
title: Extensions of the model
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9851'
abstract:
- lang: eng
text: Based on the intuitive derivation of the dynamics of SIM allele frequency
pM in the main text, we present a heuristic prediction for the long-term SIM allele
frequencies with χ > 1 stresses and compare it to numerical simulations.
article_processing_charge: No
author:
- first_name: Marta
full_name: Lukacisinova, Marta
id: 4342E402-F248-11E8-B48F-1D18A9856A87
last_name: Lukacisinova
orcid: 0000-0002-2519-8004
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
citation:
ama: Lukacisinova M, Novak S, Paixao T. Heuristic prediction for multiple stresses.
2017. doi:10.1371/journal.pcbi.1005609.s003
apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Heuristic prediction
for multiple stresses. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s003
chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Heuristic Prediction
for Multiple Stresses.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s003.
ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Heuristic prediction for multiple
stresses.” Public Library of Science, 2017.
ista: Lukacisinova M, Novak S, Paixao T. 2017. Heuristic prediction for multiple
stresses, Public Library of Science, 10.1371/journal.pcbi.1005609.s003.
mla: Lukacisinova, Marta, et al. Heuristic Prediction for Multiple Stresses.
Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.s003.
short: M. Lukacisinova, S. Novak, T. Paixao, (2017).
date_created: 2021-08-09T14:08:14Z
date_published: 2017-07-18T00:00:00Z
date_updated: 2023-02-23T12:55:39Z
day: '18'
department:
- _id: ToBo
- _id: CaGu
- _id: NiBa
doi: 10.1371/journal.pcbi.1005609.s003
month: '07'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '696'
relation: used_in_publication
status: public
status: public
title: Heuristic prediction for multiple stresses
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9852'
abstract:
- lang: eng
text: We show how different combination strategies affect the fraction of individuals
that are multi-resistant.
article_processing_charge: No
author:
- first_name: Marta
full_name: Lukacisinova, Marta
id: 4342E402-F248-11E8-B48F-1D18A9856A87
last_name: Lukacisinova
orcid: 0000-0002-2519-8004
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
citation:
ama: Lukacisinova M, Novak S, Paixao T. Resistance frequencies for different combination
strategies. 2017. doi:10.1371/journal.pcbi.1005609.s004
apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Resistance frequencies
for different combination strategies. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s004
chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Resistance Frequencies
for Different Combination Strategies.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s004.
ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Resistance frequencies for different
combination strategies.” Public Library of Science, 2017.
ista: Lukacisinova M, Novak S, Paixao T. 2017. Resistance frequencies for different
combination strategies, Public Library of Science, 10.1371/journal.pcbi.1005609.s004.
mla: Lukacisinova, Marta, et al. Resistance Frequencies for Different Combination
Strategies. Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.s004.
short: M. Lukacisinova, S. Novak, T. Paixao, (2017).
date_created: 2021-08-09T14:11:40Z
date_published: 2017-07-18T00:00:00Z
date_updated: 2023-02-23T12:55:39Z
day: '18'
department:
- _id: ToBo
- _id: CaGu
- _id: NiBa
doi: 10.1371/journal.pcbi.1005609.s004
month: '07'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '696'
relation: used_in_publication
status: public
status: public
title: Resistance frequencies for different combination strategies
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '1169'
abstract:
- lang: eng
text: Dispersal is a crucial factor in natural evolution, since it determines the
habitat experienced by any population and defines the spatial scale of interactions
between individuals. There is compelling evidence for systematic differences in
dispersal characteristics within the same population, i.e., genotype-dependent
dispersal. The consequences of genotype-dependent dispersal on other evolutionary
phenomena, however, are poorly understood. In this article we investigate the
effect of genotype-dependent dispersal on spatial gene frequency patterns, using
a generalization of the classical diffusion model of selection and dispersal.
Dispersal is characterized by the variance of dispersal (diffusion coefficient)
and the mean displacement (directional advection term). We demonstrate that genotype-dependent
dispersal may change the qualitative behavior of Fisher waves, which change from
being “pulled” to being “pushed” wave fronts as the discrepancy in dispersal between
genotypes increases. The speed of any wave is partitioned into components due
to selection, genotype-dependent variance of dispersal, and genotype-dependent
mean displacement. We apply our findings to wave fronts maintained by selection
against heterozygotes. Furthermore, we identify a benefit of increased variance
of dispersal, quantify its effect on the speed of the wave, and discuss the implications
for the evolution of dispersal strategies.
article_processing_charge: No
author:
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
- first_name: Richard
full_name: Kollár, Richard
last_name: Kollár
citation:
ama: Novak S, Kollár R. Spatial gene frequency waves under genotype dependent dispersal.
Genetics. 2017;205(1):367-374. doi:10.1534/genetics.116.193946
apa: Novak, S., & Kollár, R. (2017). Spatial gene frequency waves under genotype
dependent dispersal. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.116.193946
chicago: Novak, Sebastian, and Richard Kollár. “Spatial Gene Frequency Waves under
Genotype Dependent Dispersal.” Genetics. Genetics Society of America, 2017.
https://doi.org/10.1534/genetics.116.193946.
ieee: S. Novak and R. Kollár, “Spatial gene frequency waves under genotype dependent
dispersal,” Genetics, vol. 205, no. 1. Genetics Society of America, pp.
367–374, 2017.
ista: Novak S, Kollár R. 2017. Spatial gene frequency waves under genotype dependent
dispersal. Genetics. 205(1), 367–374.
mla: Novak, Sebastian, and Richard Kollár. “Spatial Gene Frequency Waves under Genotype
Dependent Dispersal.” Genetics, vol. 205, no. 1, Genetics Society of America,
2017, pp. 367–74, doi:10.1534/genetics.116.193946.
short: S. Novak, R. Kollár, Genetics 205 (2017) 367–374.
date_created: 2018-12-11T11:50:31Z
date_published: 2017-01-01T00:00:00Z
date_updated: 2023-09-20T11:24:21Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1534/genetics.116.193946
ec_funded: 1
external_id:
isi:
- '000393677300025'
file:
- access_level: open_access
checksum: 7c8ab79cda1f92760bbbbe0f53175bfc
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:10:43Z
date_updated: 2020-07-14T12:44:37Z
file_id: '4833'
file_name: IST-2016-727-v1+1_SFC_Genetics_final.pdf
file_size: 361500
relation: main_file
file_date_updated: 2020-07-14T12:44:37Z
has_accepted_license: '1'
intvolume: ' 205'
isi: 1
issue: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Submitted Version
page: 367 - 374
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Genetics
publication_identifier:
issn:
- '00166731'
publication_status: published
publisher: Genetics Society of America
publist_id: '6188'
pubrep_id: '727'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Spatial gene frequency waves under genotype dependent dispersal
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 205
year: '2017'
...
---
_id: '910'
abstract:
- lang: eng
text: "Frequency-independent selection is generally considered as a force that acts
to reduce the genetic variation in evolving populations, yet rigorous arguments
for this idea are scarce. When selection fluctuates in time, it is unclear whether
frequency-independent selection may maintain genetic polymorphism without invoking
additional mechanisms. We show that constant frequency-independent selection with
arbitrary epistasis on a well-mixed haploid population eliminates genetic variation
if we assume linkage equilibrium between alleles. To this end, we introduce the
notion of frequency-independent selection at the level of alleles, which is sufficient
to prove our claim and contains the notion of frequency-independent selection
on haploids. When selection and recombination are weak but of the same order,
there may be strong linkage disequilibrium; numerical calculations show that stable
equilibria are highly unlikely. Using the example of a diallelic two-locus model,
we then demonstrate that frequency-independent selection that fluctuates in time
can maintain stable polymorphism if linkage disequilibrium changes its sign periodically.
We put our findings in the context of results from the existing literature and
point out those scenarios in which the possible role of frequency-independent
selection in maintaining genetic variation remains unclear.\r\n"
article_processing_charge: No
author:
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Novak S, Barton NH. When does frequency-independent selection maintain genetic
variation? Genetics. 2017;207(2):653-668. doi:10.1534/genetics.117.300129
apa: Novak, S., & Barton, N. H. (2017). When does frequency-independent selection
maintain genetic variation? Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.117.300129
chicago: Novak, Sebastian, and Nicholas H Barton. “When Does Frequency-Independent
Selection Maintain Genetic Variation?” Genetics. Genetics Society of America,
2017. https://doi.org/10.1534/genetics.117.300129.
ieee: S. Novak and N. H. Barton, “When does frequency-independent selection maintain
genetic variation?,” Genetics, vol. 207, no. 2. Genetics Society of America,
pp. 653–668, 2017.
ista: Novak S, Barton NH. 2017. When does frequency-independent selection maintain
genetic variation? Genetics. 207(2), 653–668.
mla: Novak, Sebastian, and Nicholas H. Barton. “When Does Frequency-Independent
Selection Maintain Genetic Variation?” Genetics, vol. 207, no. 2, Genetics
Society of America, 2017, pp. 653–68, doi:10.1534/genetics.117.300129.
short: S. Novak, N.H. Barton, Genetics 207 (2017) 653–668.
date_created: 2018-12-11T11:49:09Z
date_published: 2017-10-01T00:00:00Z
date_updated: 2023-09-26T15:49:15Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1534/genetics.117.300129
ec_funded: 1
external_id:
isi:
- '000412232600019'
file:
- access_level: open_access
checksum: f7c32dabf52e6d9e709d9203761e39fd
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:17:12Z
date_updated: 2020-07-14T12:48:15Z
file_id: '5264'
file_name: IST-2018-974-v1+1_manuscript.pdf
file_size: 494268
relation: main_file
file_date_updated: 2020-07-14T12:48:15Z
has_accepted_license: '1'
intvolume: ' 207'
isi: 1
issue: '2'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Submitted Version
page: 653 - 668
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '6533'
pubrep_id: '974'
quality_controlled: '1'
scopus_import: '1'
status: public
title: When does frequency-independent selection maintain genetic variation?
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 207
year: '2017'
...
---
_id: '696'
abstract:
- lang: eng
text: Mutator strains are expected to evolve when the availability and effect of
beneficial mutations are high enough to counteract the disadvantage from deleterious
mutations that will inevitably accumulate. As the population becomes more adapted
to its environment, both availability and effect of beneficial mutations necessarily
decrease and mutation rates are predicted to decrease. It has been shown that
certain molecular mechanisms can lead to increased mutation rates when the organism
finds itself in a stressful environment. While this may be a correlated response
to other functions, it could also be an adaptive mechanism, raising mutation rates
only when it is most advantageous. Here, we use a mathematical model to investigate
the plausibility of the adaptive hypothesis. We show that such a mechanism can
be mantained if the population is subjected to diverse stresses. By simulating
various antibiotic treatment schemes, we find that combination treatments can
reduce the effectiveness of second-order selection on stress-induced mutagenesis.
We discuss the implications of our results to strategies of antibiotic therapy.
article_number: e1005609
article_type: original
author:
- first_name: Marta
full_name: Lukacisinova, Marta
id: 4342E402-F248-11E8-B48F-1D18A9856A87
last_name: Lukacisinova
orcid: 0000-0002-2519-8004
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
citation:
ama: 'Lukacisinova M, Novak S, Paixao T. Stress induced mutagenesis: Stress diversity
facilitates the persistence of mutator genes. PLoS Computational Biology.
2017;13(7). doi:10.1371/journal.pcbi.1005609'
apa: 'Lukacisinova, M., Novak, S., & Paixao, T. (2017). Stress induced mutagenesis:
Stress diversity facilitates the persistence of mutator genes. PLoS Computational
Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609'
chicago: 'Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Stress Induced
Mutagenesis: Stress Diversity Facilitates the Persistence of Mutator Genes.” PLoS
Computational Biology. Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.'
ieee: 'M. Lukacisinova, S. Novak, and T. Paixao, “Stress induced mutagenesis: Stress
diversity facilitates the persistence of mutator genes,” PLoS Computational
Biology, vol. 13, no. 7. Public Library of Science, 2017.'
ista: 'Lukacisinova M, Novak S, Paixao T. 2017. Stress induced mutagenesis: Stress
diversity facilitates the persistence of mutator genes. PLoS Computational Biology.
13(7), e1005609.'
mla: 'Lukacisinova, Marta, et al. “Stress Induced Mutagenesis: Stress Diversity
Facilitates the Persistence of Mutator Genes.” PLoS Computational Biology,
vol. 13, no. 7, e1005609, Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.'
short: M. Lukacisinova, S. Novak, T. Paixao, PLoS Computational Biology 13 (2017).
date_created: 2018-12-11T11:47:58Z
date_published: 2017-07-18T00:00:00Z
date_updated: 2024-03-28T23:30:28Z
day: '18'
ddc:
- '576'
department:
- _id: ToBo
- _id: NiBa
- _id: CaGu
doi: 10.1371/journal.pcbi.1005609
ec_funded: 1
file:
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checksum: 9143c290fa6458ed2563bff4b295554a
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:15:01Z
date_updated: 2020-07-14T12:47:46Z
file_id: '5117'
file_name: IST-2017-894-v1+1_journal.pcbi.1005609.pdf
file_size: 3775716
relation: main_file
file_date_updated: 2020-07-14T12:47:46Z
has_accepted_license: '1'
intvolume: ' 13'
issue: '7'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
publication: PLoS Computational Biology
publication_identifier:
issn:
- 1553734X
publication_status: published
publisher: Public Library of Science
publist_id: '7004'
pubrep_id: '894'
quality_controlled: '1'
related_material:
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relation: research_data
status: public
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relation: research_data
status: public
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relation: research_data
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status: public
scopus_import: 1
status: public
title: 'Stress induced mutagenesis: Stress diversity facilitates the persistence of
mutator genes'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2017'
...
---
_id: '1125'
abstract:
- lang: eng
text: "Natural environments are never constant but subject to spatial and temporal
change on\r\nall scales, increasingly so due to human activity. Hence, it is crucial
to understand the\r\nimpact of environmental variation on evolutionary processes.
In this thesis, I present\r\nthree topics that share the common theme of environmental
variation, yet illustrate its\r\neffect from different perspectives.\r\nFirst,
I show how a temporally fluctuating environment gives rise to second-order\r\nselection
on a modifier for stress-induced mutagenesis. Without fluctuations, when\r\npopulations
are adapted to their environment, mutation rates are minimized. I argue\r\nthat
a stress-induced mutator mechanism may only be maintained if the population is\r\nrepeatedly
subjected to diverse environmental challenges, and I outline implications of\r\nthe
presented results to antibiotic treatment strategies.\r\nSecond, I discuss my
work on the evolution of dispersal. Besides reproducing\r\nknown results about
the effect of heterogeneous habitats on dispersal, it identifies\r\nspatial changes
in dispersal type frequencies as a source for selection for increased\r\npropensities
to disperse. This concept contains effects of relatedness that are known\r\nto
promote dispersal, and I explain how it identifies other forces selecting for
dispersal\r\nand puts them on a common scale.\r\nThird, I analyse genetic variances
of phenotypic traits under multivariate stabilizing\r\nselection. For the case
of constant environments, I generalize known formulae of\r\nequilibrium variances
to multiple traits and discuss how the genetic variance of a focal\r\ntrait is
influenced by selection on background traits. I conclude by presenting ideas and\r\npreliminary
work aiming at including environmental fluctuations in the form of moving\r\ntrait
optima into the model."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
citation:
ama: Novak S. Evolutionary proccesses in variable emvironments. 2016.
apa: Novak, S. (2016). Evolutionary proccesses in variable emvironments.
Institute of Science and Technology Austria.
chicago: Novak, Sebastian. “Evolutionary Proccesses in Variable Emvironments.” Institute
of Science and Technology Austria, 2016.
ieee: S. Novak, “Evolutionary proccesses in variable emvironments,” Institute of
Science and Technology Austria, 2016.
ista: Novak S. 2016. Evolutionary proccesses in variable emvironments. Institute
of Science and Technology Austria.
mla: Novak, Sebastian. Evolutionary Proccesses in Variable Emvironments.
Institute of Science and Technology Austria, 2016.
short: S. Novak, Evolutionary Proccesses in Variable Emvironments, Institute of
Science and Technology Austria, 2016.
date_created: 2018-12-11T11:50:17Z
date_published: 2016-07-01T00:00:00Z
date_updated: 2023-09-07T11:55:53Z
day: '01'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: NiBa
file:
- access_level: closed
checksum: 81dcc838dfcf7aa0b1a27ecf4fe2da4e
content_type: application/pdf
creator: dernst
date_created: 2019-08-13T09:01:00Z
date_updated: 2019-08-13T09:01:00Z
file_id: '6811'
file_name: Novak_thesis.pdf
file_size: 3564901
relation: main_file
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checksum: 30808d2f7ca920e09f63a95cdc49bffd
content_type: application/pdf
creator: dernst
date_created: 2021-02-22T13:42:47Z
date_updated: 2021-02-22T13:42:47Z
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file_name: 2016_Novak_Thesis.pdf
file_size: 2814384
relation: main_file
success: 1
file_date_updated: 2021-02-22T13:42:47Z
has_accepted_license: '1'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: '124'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '6235'
related_material:
record:
- id: '2023'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
title: Evolutionary proccesses in variable emvironments
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2016'
...
---
_id: '1850'
abstract:
- lang: eng
text: 'Entomopathogenic fungi are potent biocontrol agents that are widely used
against insect pests, many of which are social insects. Nevertheless, theoretical
investigations of their particular life history are scarce. We develop a model
that takes into account the main distinguishing features between traditionally
studied diseases and obligate killing pathogens, like the (biocontrol-relevant)
insect-pathogenic fungi Metarhizium and Beauveria. First, obligate killing entomopathogenic
fungi produce new infectious particles (conidiospores) only after host death and
not yet on the living host. Second, the killing rates of entomopathogenic fungi
depend strongly on the initial exposure dosage, thus we explicitly consider the
pathogen load of individual hosts. Further, we make the model applicable not only
to solitary host species, but also to group living species by incorporating social
interactions between hosts, like the collective disease defences of insect societies.
Our results identify the optimal killing rate for the pathogen that minimises
its invasion threshold. Furthermore, we find that the rate of contact between
hosts has an ambivalent effect: dense interaction networks between individuals
are considered to facilitate disease outbreaks because of increased pathogen transmission.
In social insects, this is compensated by their collective disease defences, i.e.,
social immunity. For the type of pathogens considered here, we show that even
without social immunity, high contact rates between live individuals dilute the
pathogen in the host colony and hence can reduce individual pathogen loads below
disease-causing levels.'
author:
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Sylvia
full_name: Cremer, Sylvia
id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87
last_name: Cremer
orcid: 0000-0002-2193-3868
citation:
ama: 'Novak S, Cremer S. Fungal disease dynamics in insect societies: Optimal killing
rates and the ambivalent effect of high social interaction rates. Journal of
Theoretical Biology. 2015;372(5):54-64. doi:10.1016/j.jtbi.2015.02.018'
apa: 'Novak, S., & Cremer, S. (2015). Fungal disease dynamics in insect societies:
Optimal killing rates and the ambivalent effect of high social interaction rates.
Journal of Theoretical Biology. Elsevier. https://doi.org/10.1016/j.jtbi.2015.02.018'
chicago: 'Novak, Sebastian, and Sylvia Cremer. “Fungal Disease Dynamics in Insect
Societies: Optimal Killing Rates and the Ambivalent Effect of High Social Interaction
Rates.” Journal of Theoretical Biology. Elsevier, 2015. https://doi.org/10.1016/j.jtbi.2015.02.018.'
ieee: 'S. Novak and S. Cremer, “Fungal disease dynamics in insect societies: Optimal
killing rates and the ambivalent effect of high social interaction rates,” Journal
of Theoretical Biology, vol. 372, no. 5. Elsevier, pp. 54–64, 2015.'
ista: 'Novak S, Cremer S. 2015. Fungal disease dynamics in insect societies: Optimal
killing rates and the ambivalent effect of high social interaction rates. Journal
of Theoretical Biology. 372(5), 54–64.'
mla: 'Novak, Sebastian, and Sylvia Cremer. “Fungal Disease Dynamics in Insect Societies:
Optimal Killing Rates and the Ambivalent Effect of High Social Interaction Rates.”
Journal of Theoretical Biology, vol. 372, no. 5, Elsevier, 2015, pp. 54–64,
doi:10.1016/j.jtbi.2015.02.018.'
short: S. Novak, S. Cremer, Journal of Theoretical Biology 372 (2015) 54–64.
date_created: 2018-12-11T11:54:21Z
date_published: 2015-05-07T00:00:00Z
date_updated: 2021-01-12T06:53:37Z
day: '07'
ddc:
- '576'
department:
- _id: NiBa
- _id: SyCr
doi: 10.1016/j.jtbi.2015.02.018
ec_funded: 1
file:
- access_level: open_access
checksum: 3c0dcacc900bc45cc65a453dfda4ca43
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:18:07Z
date_updated: 2020-07-14T12:45:19Z
file_id: '5326'
file_name: IST-2015-329-v1+1_manuscript.pdf
file_size: 1546914
relation: main_file
file_date_updated: 2020-07-14T12:45:19Z
has_accepted_license: '1'
intvolume: ' 372'
issue: '5'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 54 - 64
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 25DC711C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '243071'
name: 'Social Vaccination in Ant Colonies: from Individual Mechanisms to Society
Effects'
publication: Journal of Theoretical Biology
publication_status: published
publisher: Elsevier
publist_id: '5251'
pubrep_id: '329'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'Fungal disease dynamics in insect societies: Optimal killing rates and the
ambivalent effect of high social interaction rates'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 372
year: '2015'
...
---
_id: '1809'
abstract:
- lang: eng
text: 'Background: Indirect genetic effects (IGEs) occur when genes expressed in
one individual alter the expression of traits in social partners. Previous studies
focused on the evolutionary consequences and evolutionary dynamics of IGEs, using
equilibrium solutions to predict phenotypes in subsequent generations. However,
whether or not such steady states may be reached may depend on the dynamics of
interactions themselves. Results: In our study, we focus on the dynamics of social
interactions and indirect genetic effects and investigate how they modify phenotypes
over time. Unlike previous IGE studies, we do not analyse evolutionary dynamics;
rather we consider within-individual phenotypic changes, also referred to as phenotypic
plasticity. We analyse iterative interactions, when individuals interact in a
series of discontinuous events, and investigate the stability of steady state
solutions and the dependence on model parameters, such as population size, strength,
and the nature of interactions. We show that for interactions where a feedback
loop occurs, the possible parameter space of interaction strength is fairly limited,
affecting the evolutionary consequences of IGEs. We discuss the implications of
our results for current IGE model predictions and their limitations.'
author:
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Reinmar
full_name: Hager, Reinmar
last_name: Hager
citation:
ama: Trubenova B, Novak S, Hager R. Indirect genetic effects and the dynamics of
social interactions. PLoS One. 2015;10(5). doi:10.1371/journal.pone.0126907
apa: Trubenova, B., Novak, S., & Hager, R. (2015). Indirect genetic effects
and the dynamics of social interactions. PLoS One. Public Library of Science.
https://doi.org/10.1371/journal.pone.0126907
chicago: Trubenova, Barbora, Sebastian Novak, and Reinmar Hager. “Indirect Genetic
Effects and the Dynamics of Social Interactions.” PLoS One. Public Library
of Science, 2015. https://doi.org/10.1371/journal.pone.0126907.
ieee: B. Trubenova, S. Novak, and R. Hager, “Indirect genetic effects and the dynamics
of social interactions,” PLoS One, vol. 10, no. 5. Public Library of Science,
2015.
ista: Trubenova B, Novak S, Hager R. 2015. Indirect genetic effects and the dynamics
of social interactions. PLoS One. 10(5).
mla: Trubenova, Barbora, et al. “Indirect Genetic Effects and the Dynamics of Social
Interactions.” PLoS One, vol. 10, no. 5, Public Library of Science, 2015,
doi:10.1371/journal.pone.0126907.
short: B. Trubenova, S. Novak, R. Hager, PLoS One 10 (2015).
date_created: 2018-12-11T11:54:07Z
date_published: 2015-05-18T00:00:00Z
date_updated: 2023-02-23T14:07:48Z
day: '18'
ddc:
- '570'
- '576'
department:
- _id: NiBa
doi: 10.1371/journal.pone.0126907
file:
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checksum: d3a4a58ef4bd3b3e2f32b7fd7af4a743
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:09:07Z
date_updated: 2020-07-14T12:45:17Z
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file_date_updated: 2020-07-14T12:45:17Z
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intvolume: ' 10'
issue: '5'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
publication: PLoS One
publication_status: published
publisher: Public Library of Science
publist_id: '5299'
pubrep_id: '453'
quality_controlled: '1'
related_material:
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scopus_import: 1
status: public
title: Indirect genetic effects and the dynamics of social interactions
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 10
year: '2015'
...
---
_id: '9772'
article_processing_charge: No
author:
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Reinmar
full_name: Hager, Reinmar
last_name: Hager
citation:
ama: Trubenova B, Novak S, Hager R. Description of the agent based simulations.
2015. doi:10.1371/journal.pone.0126907.s003
apa: Trubenova, B., Novak, S., & Hager, R. (2015). Description of the agent
based simulations. Public Library of Science. https://doi.org/10.1371/journal.pone.0126907.s003
chicago: Trubenova, Barbora, Sebastian Novak, and Reinmar Hager. “Description of
the Agent Based Simulations.” Public Library of Science, 2015. https://doi.org/10.1371/journal.pone.0126907.s003.
ieee: B. Trubenova, S. Novak, and R. Hager, “Description of the agent based simulations.”
Public Library of Science, 2015.
ista: Trubenova B, Novak S, Hager R. 2015. Description of the agent based simulations,
Public Library of Science, 10.1371/journal.pone.0126907.s003.
mla: Trubenova, Barbora, et al. Description of the Agent Based Simulations.
Public Library of Science, 2015, doi:10.1371/journal.pone.0126907.s003.
short: B. Trubenova, S. Novak, R. Hager, (2015).
date_created: 2021-08-05T12:55:20Z
date_published: 2015-05-18T00:00:00Z
date_updated: 2023-02-23T10:15:25Z
day: '18'
department:
- _id: NiBa
doi: 10.1371/journal.pone.0126907.s003
month: '05'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1809'
relation: used_in_publication
status: public
status: public
title: Description of the agent based simulations
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2015'
...
---
_id: '9715'
article_processing_charge: No
author:
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Reinmar
full_name: Hager, Reinmar
last_name: Hager
citation:
ama: Trubenova B, Novak S, Hager R. Mathematical inference of the results. 2015.
doi:10.1371/journal.pone.0126907.s001
apa: Trubenova, B., Novak, S., & Hager, R. (2015). Mathematical inference of
the results. Public Library of Science. https://doi.org/10.1371/journal.pone.0126907.s001
chicago: Trubenova, Barbora, Sebastian Novak, and Reinmar Hager. “Mathematical Inference
of the Results.” Public Library of Science, 2015. https://doi.org/10.1371/journal.pone.0126907.s001.
ieee: B. Trubenova, S. Novak, and R. Hager, “Mathematical inference of the results.”
Public Library of Science, 2015.
ista: Trubenova B, Novak S, Hager R. 2015. Mathematical inference of the results,
Public Library of Science, 10.1371/journal.pone.0126907.s001.
mla: Trubenova, Barbora, et al. Mathematical Inference of the Results. Public
Library of Science, 2015, doi:10.1371/journal.pone.0126907.s001.
short: B. Trubenova, S. Novak, R. Hager, (2015).
date_created: 2021-07-23T12:11:30Z
date_published: 2015-05-18T00:00:00Z
date_updated: 2023-02-23T10:15:25Z
day: '18'
department:
- _id: NiBa
doi: 10.1371/journal.pone.0126907.s001
month: '05'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1809'
relation: used_in_publication
status: public
status: public
title: Mathematical inference of the results
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2015'
...
---
_id: '2169'
author:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
citation:
ama: Barton NH, Novak S, Paixao T. Diverse forms of selection in evolution and computer
science. PNAS. 2014;111(29):10398-10399. doi:10.1073/pnas.1410107111
apa: Barton, N. H., Novak, S., & Paixao, T. (2014). Diverse forms of selection
in evolution and computer science. PNAS. National Academy of Sciences.
https://doi.org/10.1073/pnas.1410107111
chicago: Barton, Nicholas H, Sebastian Novak, and Tiago Paixao. “Diverse Forms of
Selection in Evolution and Computer Science.” PNAS. National Academy of
Sciences, 2014. https://doi.org/10.1073/pnas.1410107111.
ieee: N. H. Barton, S. Novak, and T. Paixao, “Diverse forms of selection in evolution
and computer science,” PNAS, vol. 111, no. 29. National Academy of Sciences,
pp. 10398–10399, 2014.
ista: Barton NH, Novak S, Paixao T. 2014. Diverse forms of selection in evolution
and computer science. PNAS. 111(29), 10398–10399.
mla: Barton, Nicholas H., et al. “Diverse Forms of Selection in Evolution and Computer
Science.” PNAS, vol. 111, no. 29, National Academy of Sciences, 2014, pp.
10398–99, doi:10.1073/pnas.1410107111.
short: N.H. Barton, S. Novak, T. Paixao, PNAS 111 (2014) 10398–10399.
date_created: 2018-12-11T11:56:07Z
date_published: 2014-07-22T00:00:00Z
date_updated: 2021-01-12T06:55:45Z
day: '22'
department:
- _id: NiBa
doi: 10.1073/pnas.1410107111
intvolume: ' 111'
issue: '29'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4115508/
month: '07'
oa: 1
oa_version: Submitted Version
page: 10398 - 10399
publication: PNAS
publication_status: published
publisher: National Academy of Sciences
publist_id: '4815'
quality_controlled: '1'
scopus_import: 1
status: public
title: Diverse forms of selection in evolution and computer science
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 111
year: '2014'
...
---
_id: '2023'
abstract:
- lang: eng
text: 'Understanding the evolution of dispersal is essential for understanding and
predicting the dynamics of natural populations. Two main factors are known to
influence dispersal evolution: spatio-temporal variation in the environment and
relatedness between individuals. However, the relation between these factors is
still poorly understood, and they are usually treated separately. In this article,
I present a theoretical framework that contains and connects effects of both environmental
variation and relatedness, and reproduces and extends their known features. Spatial
habitat variation selects for balanced dispersal strategies, whereby the population
is kept at an ideal free distribution. Within this class of dispersal strategies,
I explain how increased dispersal is promoted by perturbations to the dispersal
type frequencies. An explicit formula shows the magnitude of the selective advantage
of increased dispersal in terms of the spatial variability in the frequencies
of the different dispersal strategies present. These variances are capable of
capturing various sources of stochasticity and hence establish a common scale
for their effects on the evolution of dispersal. The results furthermore indicate
an alternative approach to identifying effects of relatedness on dispersal evolution.'
author:
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
citation:
ama: Novak S. Habitat heterogeneities versus spatial type frequency variances as
driving forces of dispersal evolution. Ecology and Evolution. 2014;4(24):4589-4597.
doi:10.1002/ece3.1289
apa: Novak, S. (2014). Habitat heterogeneities versus spatial type frequency variances
as driving forces of dispersal evolution. Ecology and Evolution. Wiley-Blackwell.
https://doi.org/10.1002/ece3.1289
chicago: Novak, Sebastian. “Habitat Heterogeneities versus Spatial Type Frequency
Variances as Driving Forces of Dispersal Evolution.” Ecology and Evolution.
Wiley-Blackwell, 2014. https://doi.org/10.1002/ece3.1289.
ieee: S. Novak, “Habitat heterogeneities versus spatial type frequency variances
as driving forces of dispersal evolution,” Ecology and Evolution, vol.
4, no. 24. Wiley-Blackwell, pp. 4589–4597, 2014.
ista: Novak S. 2014. Habitat heterogeneities versus spatial type frequency variances
as driving forces of dispersal evolution. Ecology and Evolution. 4(24), 4589–4597.
mla: Novak, Sebastian. “Habitat Heterogeneities versus Spatial Type Frequency Variances
as Driving Forces of Dispersal Evolution.” Ecology and Evolution, vol.
4, no. 24, Wiley-Blackwell, 2014, pp. 4589–97, doi:10.1002/ece3.1289.
short: S. Novak, Ecology and Evolution 4 (2014) 4589–4597.
date_created: 2018-12-11T11:55:16Z
date_published: 2014-11-27T00:00:00Z
date_updated: 2023-09-07T11:55:53Z
day: '27'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1002/ece3.1289
ec_funded: 1
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date_updated: 2020-07-14T12:45:25Z
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file_size: 118813
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month: '11'
oa: 1
oa_version: Published Version
page: 4589 - 4597
project:
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call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Ecology and Evolution
publication_status: published
publisher: Wiley-Blackwell
publist_id: '5049'
pubrep_id: '462'
quality_controlled: '1'
related_material:
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status: public
scopus_import: 1
status: public
title: Habitat heterogeneities versus spatial type frequency variances as driving
forces of dispersal evolution
tmp:
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legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
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type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 4
year: '2014'
...
---
_id: '2817'
abstract:
- lang: eng
text: The basic idea of evolutionary game theory is that payoff determines reproductive
rate. Successful individuals have a higher payoff and produce more offspring.
But in evolutionary and ecological situations there is not only reproductive rate
but also carrying capacity. Individuals may differ in their exposure to density
limiting effects. Here we explore an alternative approach to evolutionary game
theory by assuming that the payoff from the game determines the carrying capacity
of individual phenotypes. Successful strategies are less affected by density limitation
(crowding) and reach higher equilibrium abundance. We demonstrate similarities
and differences between our framework and the standard replicator equation. Our
equation is defined on the positive orthant, instead of the simplex, but has the
same equilibrium points as the replicator equation. Linear stability analysis
produces the classical conditions for asymptotic stability of pure strategies,
but the stability properties of internal equilibria can differ in the two frameworks.
For example, in a two-strategy game with an internal equilibrium that is always
stable under the replicator equation, the corresponding equilibrium can be unstable
in the new framework resulting in a limit cycle.
author:
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Martin
full_name: Nowak, Martin
last_name: Nowak
citation:
ama: Novak S, Chatterjee K, Nowak M. Density games. Journal of Theoretical Biology.
2013;334:26-34. doi:10.1016/j.jtbi.2013.05.029
apa: Novak, S., Chatterjee, K., & Nowak, M. (2013). Density games. Journal
of Theoretical Biology. Elsevier. https://doi.org/10.1016/j.jtbi.2013.05.029
chicago: Novak, Sebastian, Krishnendu Chatterjee, and Martin Nowak. “Density Games.”
Journal of Theoretical Biology. Elsevier, 2013. https://doi.org/10.1016/j.jtbi.2013.05.029.
ieee: S. Novak, K. Chatterjee, and M. Nowak, “Density games,” Journal of Theoretical
Biology, vol. 334. Elsevier, pp. 26–34, 2013.
ista: Novak S, Chatterjee K, Nowak M. 2013. Density games. Journal of Theoretical
Biology. 334, 26–34.
mla: Novak, Sebastian, et al. “Density Games.” Journal of Theoretical Biology,
vol. 334, Elsevier, 2013, pp. 26–34, doi:10.1016/j.jtbi.2013.05.029.
short: S. Novak, K. Chatterjee, M. Nowak, Journal of Theoretical Biology 334 (2013)
26–34.
date_created: 2018-12-11T11:59:45Z
date_published: 2013-10-07T00:00:00Z
date_updated: 2021-01-12T06:59:55Z
day: '07'
ddc:
- '000'
department:
- _id: NiBa
- _id: KrCh
doi: 10.1016/j.jtbi.2013.05.029
ec_funded: 1
file:
- access_level: open_access
checksum: 3c29059ab03a4b8f97a07646b817ddbb
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:54Z
date_updated: 2020-07-14T12:45:49Z
file_id: '5110'
file_name: IST-2016-400-v1+1_1-s2.0-S0022519313002609-main.pdf
file_size: 834604
relation: main_file
file_date_updated: 2020-07-14T12:45:49Z
has_accepted_license: '1'
intvolume: ' 334'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 26 - 34
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 2584A770-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 23499-N23
name: Modern Graph Algorithmic Techniques in Formal Verification
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
- _id: 2587B514-B435-11E9-9278-68D0E5697425
name: Microsoft Research Faculty Fellowship
publication: Journal of Theoretical Biology
publication_status: published
publisher: Elsevier
publist_id: '3984'
pubrep_id: '400'
quality_controlled: '1'
scopus_import: 1
status: public
title: Density games
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
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type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 334
year: '2013'
...
---
_id: '1863'
abstract:
- lang: eng
text: The Levene model is the simplest mathematical model to describe the evolution
of gene frequencies in spatially subdivided populations. It provides insight into
how locally varying selection promotes a population’s genetic diversity. Despite
its simplicity, interesting problems have remained unsolved even in the diallelic
case. In this paper we answer an open problem by establishing that for two alleles
at one locus and J demes, up to 2J−1 polymorphic equilibria may coexist. We first
present a proof for the case of stable monomorphisms and then show that the result
also holds for protected alleles. These findings allow us to prove that any odd
number (up to 2J−1) of equilibria is possible, before we extend the proof to even
numbers. We conclude with some numerical results and show that for J>2, the
proportion of parameter space affording this maximum is extremely small.
acknowledgement: FWF 21305
author:
- first_name: Sebastian
full_name: Sebastian Novak
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
citation:
ama: Novak S. The number of equilibria in the diallelic Levene model with multiple
demes. Theoretical Population Biology. 2011;79(3):97-101. doi:10.1016/j.tpb.2010.12.002
apa: Novak, S. (2011). The number of equilibria in the diallelic Levene model with
multiple demes. Theoretical Population Biology. Academic Press. https://doi.org/10.1016/j.tpb.2010.12.002
chicago: Novak, Sebastian. “The Number of Equilibria in the Diallelic Levene Model
with Multiple Demes.” Theoretical Population Biology. Academic Press, 2011.
https://doi.org/10.1016/j.tpb.2010.12.002.
ieee: S. Novak, “The number of equilibria in the diallelic Levene model with multiple
demes,” Theoretical Population Biology, vol. 79, no. 3. Academic Press,
pp. 97–101, 2011.
ista: Novak S. 2011. The number of equilibria in the diallelic Levene model with
multiple demes. Theoretical Population Biology. 79(3), 97–101.
mla: Novak, Sebastian. “The Number of Equilibria in the Diallelic Levene Model with
Multiple Demes.” Theoretical Population Biology, vol. 79, no. 3, Academic
Press, 2011, pp. 97–101, doi:10.1016/j.tpb.2010.12.002.
short: S. Novak, Theoretical Population Biology 79 (2011) 97–101.
date_created: 2018-12-11T11:54:25Z
date_published: 2011-05-01T00:00:00Z
date_updated: 2021-01-12T06:53:42Z
day: '01'
doi: 10.1016/j.tpb.2010.12.002
extern: 1
intvolume: ' 79'
issue: '3'
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '05'
page: 97 - 101
publication: Theoretical Population Biology
publication_status: published
publisher: Academic Press
publist_id: '5236'
quality_controlled: 0
status: public
title: The number of equilibria in the diallelic Levene model with multiple demes
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legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
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(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
volume: 79
year: '2011'
...