---
_id: '1519'
abstract:
- lang: eng
text: Evolutionary biologists have an array of powerful theoretical techniques that
can accurately predict changes in the genetic composition of populations. Changes
in gene frequencies and genetic associations between loci can be tracked as they
respond to a wide variety of evolutionary forces. However, it is often less clear
how to decompose these various forces into components that accurately reflect
the underlying biology. Here, we present several issues that arise in the definition
and interpretation of selection and selection coefficients, focusing on insights
gained through the examination of selection coefficients in multilocus notation.
Using this notation, we discuss how its flexibility-which allows different biological
units to be identified as targets of selection-is reflected in the interpretation
of the coefficients that the notation generates. In many situations, it can be
difficult to agree on whether loci can be considered to be under "direct"
versus "indirect" selection, or to quantify this selection. We present
arguments for what the terms direct and indirect selection might best encompass,
considering a range of issues, from viability and sexual selection to kin selection.
We show how multilocus notation can discriminate between direct and indirect selection,
and describe when it can do so.
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: Maria
full_name: Servedio, Maria
last_name: Servedio
citation:
ama: Barton NH, Servedio M. The interpretation of selection coefficients. Evolution.
2015;69(5):1101-1112. doi:10.1111/evo.12641
apa: Barton, N. H., & Servedio, M. (2015). The interpretation of selection coefficients.
Evolution. Wiley. https://doi.org/10.1111/evo.12641
chicago: Barton, Nicholas H, and Maria Servedio. “The Interpretation of Selection
Coefficients.” Evolution. Wiley, 2015. https://doi.org/10.1111/evo.12641.
ieee: N. H. Barton and M. Servedio, “The interpretation of selection coefficients,”
Evolution, vol. 69, no. 5. Wiley, pp. 1101–1112, 2015.
ista: Barton NH, Servedio M. 2015. The interpretation of selection coefficients.
Evolution. 69(5), 1101–1112.
mla: Barton, Nicholas H., and Maria Servedio. “The Interpretation of Selection Coefficients.”
Evolution, vol. 69, no. 5, Wiley, 2015, pp. 1101–12, doi:10.1111/evo.12641.
short: N.H. Barton, M. Servedio, Evolution 69 (2015) 1101–1112.
date_created: 2018-12-11T11:52:29Z
date_published: 2015-03-19T00:00:00Z
date_updated: 2021-01-12T06:51:20Z
day: '19'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1111/evo.12641
ec_funded: 1
file:
- access_level: open_access
checksum: fd8d23f476bc194419929b72ca265c02
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:10:34Z
date_updated: 2020-07-14T12:45:00Z
file_id: '4822'
file_name: IST-2016-560-v1+1_Interpreting_ML_coefficients_11.2.15_App.pdf
file_size: 188872
relation: main_file
- access_level: open_access
checksum: b774911e70044641d556e258efcb52ef
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:10:35Z
date_updated: 2020-07-14T12:45:00Z
file_id: '4823'
file_name: IST-2016-560-v1+2_Interpreting_ML_coefficients_11.2.15_mainText.pdf
file_size: 577415
relation: main_file
file_date_updated: 2020-07-14T12:45:00Z
has_accepted_license: '1'
intvolume: ' 69'
issue: '5'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Submitted Version
page: 1101 - 1112
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Evolution
publication_status: published
publisher: Wiley
publist_id: '5656'
pubrep_id: '560'
quality_controlled: '1'
scopus_import: 1
status: public
title: The interpretation of selection coefficients
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 69
year: '2015'
...
---
_id: '1542'
abstract:
- lang: eng
text: 'The theory of population genetics and evolutionary computation have been
evolving separately for nearly 30 years. Many results have been independently
obtained in both fields and many others are unique to its respective field. We
aim to bridge this gap by developing a unifying framework for evolutionary processes
that allows both evolutionary algorithms and population genetics models to be
cast in the same formal framework. The framework we present here decomposes the
evolutionary process into its several components in order to facilitate the identification
of similarities between different models. In particular, we propose a classification
of evolutionary operators based on the defining properties of the different components.
We cast several commonly used operators from both fields into this common framework.
Using this, we map different evolutionary and genetic algorithms to different
evolutionary regimes and identify candidates with the most potential for the translation
of results between the fields. This provides a unified description of evolutionary
processes and represents a stepping stone towards new tools and results to both
fields. '
author:
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Golnaz
full_name: Badkobeh, Golnaz
last_name: Badkobeh
- 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: Doğan
full_name: Çörüş, Doğan
last_name: Çörüş
- first_name: Duccuong
full_name: Dang, Duccuong
last_name: Dang
- first_name: Tobias
full_name: Friedrich, Tobias
last_name: Friedrich
- first_name: Per
full_name: Lehre, Per
last_name: Lehre
- first_name: Dirk
full_name: Sudholt, Dirk
last_name: Sudholt
- first_name: Andrew
full_name: Sutton, Andrew
last_name: Sutton
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
citation:
ama: Paixao T, Badkobeh G, Barton NH, et al. Toward a unifying framework for evolutionary
processes. Journal of Theoretical Biology. 2015;383:28-43. doi:10.1016/j.jtbi.2015.07.011
apa: Paixao, T., Badkobeh, G., Barton, N. H., Çörüş, D., Dang, D., Friedrich, T.,
… Trubenova, B. (2015). Toward a unifying framework for evolutionary processes.
Journal of Theoretical Biology. Elsevier. https://doi.org/10.1016/j.jtbi.2015.07.011
chicago: Paixao, Tiago, Golnaz Badkobeh, Nicholas H Barton, Doğan Çörüş, Duccuong
Dang, Tobias Friedrich, Per Lehre, Dirk Sudholt, Andrew Sutton, and Barbora Trubenova.
“Toward a Unifying Framework for Evolutionary Processes.” Journal of Theoretical
Biology. Elsevier, 2015. https://doi.org/10.1016/j.jtbi.2015.07.011.
ieee: T. Paixao et al., “Toward a unifying framework for evolutionary processes,”
Journal of Theoretical Biology, vol. 383. Elsevier, pp. 28–43, 2015.
ista: Paixao T, Badkobeh G, Barton NH, Çörüş D, Dang D, Friedrich T, Lehre P, Sudholt
D, Sutton A, Trubenova B. 2015. Toward a unifying framework for evolutionary processes. Journal
of Theoretical Biology. 383, 28–43.
mla: Paixao, Tiago, et al. “Toward a Unifying Framework for Evolutionary Processes.”
Journal of Theoretical Biology, vol. 383, Elsevier, 2015, pp. 28–43, doi:10.1016/j.jtbi.2015.07.011.
short: T. Paixao, G. Badkobeh, N.H. Barton, D. Çörüş, D. Dang, T. Friedrich, P.
Lehre, D. Sudholt, A. Sutton, B. Trubenova, Journal of Theoretical Biology 383
(2015) 28–43.
date_created: 2018-12-11T11:52:37Z
date_published: 2015-10-21T00:00:00Z
date_updated: 2021-01-12T06:51:29Z
day: '21'
ddc:
- '570'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1016/j.jtbi.2015.07.011
ec_funded: 1
file:
- access_level: open_access
checksum: 33b60ecfea60764756a9ee9df5eb65ca
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:53Z
date_updated: 2020-07-14T12:45:01Z
file_id: '5244'
file_name: IST-2016-483-v1+1_1-s2.0-S0022519315003409-main.pdf
file_size: 595307
relation: main_file
file_date_updated: 2020-07-14T12:45:01Z
has_accepted_license: '1'
intvolume: ' 383'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '10'
oa: 1
oa_version: Published Version
page: 28 - 43
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: ' Journal of Theoretical Biology'
publication_status: published
publisher: Elsevier
publist_id: '5629'
pubrep_id: '483'
quality_controlled: '1'
scopus_import: 1
status: public
title: Toward a unifying framework for evolutionary processes
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 383
year: '2015'
...
---
_id: '1699'
abstract:
- lang: eng
text: By hybridization and backcrossing, alleles can surmount species boundaries
and be incorporated into the genome of a related species. This introgression of
genes is of particular evolutionary relevance if it involves the transfer of adaptations
between populations. However, any beneficial allele will typically be associated
with other alien alleles that are often deleterious and hamper the introgression
process. In order to describe the introgression of an adaptive allele, we set
up a stochastic model with an explicit genetic makeup of linked and unlinked deleterious
alleles. Based on the theory of reducible multitype branching processes, we derive
a recursive expression for the establishment probability of the beneficial allele
after a single hybridization event. We furthermore study the probability that
slightly deleterious alleles hitchhike to fixation. The key to the analysis is
a split of the process into a stochastic phase in which the advantageous alleles
establishes and a deterministic phase in which it sweeps to fixation. We thereafter
apply the theory to a set of biologically relevant scenarios such as introgression
in the presence of many unlinked or few closely linked deleterious alleles. A
comparison to computer simulations shows that the approximations work well over
a large parameter range.
acknowledgement: This work was made possible with financial support by the Vienna
Science and Technology Fund (WWTF), by the Deutsche Forschungsgemeinschaft (DFG),
Research Unit 1078 Natural selection in structured populations, by the Austrian
Science Fund (FWF) via funding for the Vienna Graduate School for Population Genetics,
and by a “For Women in Science” fellowship (L’Oréal Österreich in cooperation with
the Austrian Commission for UNESCO and the Austrian Academy of Sciences with financial
support from the Federal Ministry for Science and Research Austria).
author:
- first_name: Hildegard
full_name: Uecker, Hildegard
id: 2DB8F68A-F248-11E8-B48F-1D18A9856A87
last_name: Uecker
orcid: 0000-0001-9435-2813
- first_name: Derek
full_name: Setter, Derek
last_name: Setter
- first_name: Joachim
full_name: Hermisson, Joachim
last_name: Hermisson
citation:
ama: Uecker H, Setter D, Hermisson J. Adaptive gene introgression after secondary
contact. Journal of Mathematical Biology. 2015;70(7):1523-1580. doi:10.1007/s00285-014-0802-y
apa: Uecker, H., Setter, D., & Hermisson, J. (2015). Adaptive gene introgression
after secondary contact. Journal of Mathematical Biology. Springer. https://doi.org/10.1007/s00285-014-0802-y
chicago: Uecker, Hildegard, Derek Setter, and Joachim Hermisson. “Adaptive Gene
Introgression after Secondary Contact.” Journal of Mathematical Biology.
Springer, 2015. https://doi.org/10.1007/s00285-014-0802-y.
ieee: H. Uecker, D. Setter, and J. Hermisson, “Adaptive gene introgression after
secondary contact,” Journal of Mathematical Biology, vol. 70, no. 7. Springer,
pp. 1523–1580, 2015.
ista: Uecker H, Setter D, Hermisson J. 2015. Adaptive gene introgression after secondary
contact. Journal of Mathematical Biology. 70(7), 1523–1580.
mla: Uecker, Hildegard, et al. “Adaptive Gene Introgression after Secondary Contact.”
Journal of Mathematical Biology, vol. 70, no. 7, Springer, 2015, pp. 1523–80,
doi:10.1007/s00285-014-0802-y.
short: H. Uecker, D. Setter, J. Hermisson, Journal of Mathematical Biology 70 (2015)
1523–1580.
date_created: 2018-12-11T11:53:32Z
date_published: 2015-06-01T00:00:00Z
date_updated: 2023-02-23T10:10:36Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1007/s00285-014-0802-y
file:
- access_level: open_access
checksum: 00e3a67bda05d4cc165b3a48b41ef9ad
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:27Z
date_updated: 2020-07-14T12:45:12Z
file_id: '5079'
file_name: IST-2016-458-v1+1_s00285-014-0802-y.pdf
file_size: 1321527
relation: main_file
file_date_updated: 2020-07-14T12:45:12Z
has_accepted_license: '1'
intvolume: ' 70'
issue: '7'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 1523 - 1580
project:
- _id: 25B67606-B435-11E9-9278-68D0E5697425
name: L'OREAL Fellowship
publication: Journal of Mathematical Biology
publication_status: published
publisher: Springer
publist_id: '5442'
pubrep_id: '458'
quality_controlled: '1'
scopus_import: 1
status: public
title: Adaptive gene introgression after secondary contact
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: 70
year: '2015'
...
---
_id: '1703'
abstract:
- lang: eng
text: Vegetation clearing and land-use change have depleted many natural plant communities
to the point where restoration is required. A major impediment to the success
of rebuilding complex vegetation communities is having regular access to sufficient
quantities of high-quality seed. Seed-production areas (SPAs) can help generate
this seed, but these must be underpinned by a broad genetic base to maximise the
evolutionary potential of restored populations. However, genetic bottlenecks can
occur at the collection, establishment and production stages in SPAs, requiring
genetic evaluation. This is especially relevant for species that may take many
years before a return on SPA investment is realised. Two recently established
yellow box (Eucalyptus melliodora A.Cunn. ex Schauer, Myrtaceae) SPAs were evaluated
to determine whether genetic bottlenecks had occurred between seed collection
and SPA establishment. No evidence was found to suggest that a significant loss
of genetic diversity had occurred at this stage, although there was a significant
difference in diversity between the two SPAs. Complex population genetic structure
was also observed in the seed used to source the SPAs, with up to eight groups
identified. Plant survival in the SPAs was influenced by seed collection location
but not by SPA location and was not associated with genetic diversity. There were
also no associations between genetic diversity and plant growth. These data highlighted
the importance of chance events when establishing SPAs and indicated that the
two yellow box SPAs are likely to provide genetically diverse seed sources for
future restoration projects, especially by pooling seed from both SPAs.
author:
- first_name: Linda
full_name: Broadhurst, Linda
last_name: Broadhurst
- first_name: Graham
full_name: Fifield, Graham
last_name: Fifield
- first_name: Bindi
full_name: Vanzella, Bindi
last_name: Vanzella
- first_name: Melinda
full_name: Pickup, Melinda
id: 2C78037E-F248-11E8-B48F-1D18A9856A87
last_name: Pickup
orcid: 0000-0001-6118-0541
citation:
ama: Broadhurst L, Fifield G, Vanzella B, Pickup M. An evaluation of the genetic
structure of seed sources and the maintenance of genetic diversity during establishment
of two yellow box (Eucalyptus melliodora) seed-production areas. Australian
Journal of Botany. 2015;63(5):455-466. doi:10.1071/BT15023
apa: Broadhurst, L., Fifield, G., Vanzella, B., & Pickup, M. (2015). An evaluation
of the genetic structure of seed sources and the maintenance of genetic diversity
during establishment of two yellow box (Eucalyptus melliodora) seed-production
areas. Australian Journal of Botany. CSIRO. https://doi.org/10.1071/BT15023
chicago: Broadhurst, Linda, Graham Fifield, Bindi Vanzella, and Melinda Pickup.
“An Evaluation of the Genetic Structure of Seed Sources and the Maintenance of
Genetic Diversity during Establishment of Two Yellow Box (Eucalyptus Melliodora)
Seed-Production Areas.” Australian Journal of Botany. CSIRO, 2015. https://doi.org/10.1071/BT15023.
ieee: L. Broadhurst, G. Fifield, B. Vanzella, and M. Pickup, “An evaluation of the
genetic structure of seed sources and the maintenance of genetic diversity during
establishment of two yellow box (Eucalyptus melliodora) seed-production areas,”
Australian Journal of Botany, vol. 63, no. 5. CSIRO, pp. 455–466, 2015.
ista: Broadhurst L, Fifield G, Vanzella B, Pickup M. 2015. An evaluation of the
genetic structure of seed sources and the maintenance of genetic diversity during
establishment of two yellow box (Eucalyptus melliodora) seed-production areas.
Australian Journal of Botany. 63(5), 455–466.
mla: Broadhurst, Linda, et al. “An Evaluation of the Genetic Structure of Seed Sources
and the Maintenance of Genetic Diversity during Establishment of Two Yellow Box
(Eucalyptus Melliodora) Seed-Production Areas.” Australian Journal of Botany,
vol. 63, no. 5, CSIRO, 2015, pp. 455–66, doi:10.1071/BT15023.
short: L. Broadhurst, G. Fifield, B. Vanzella, M. Pickup, Australian Journal of
Botany 63 (2015) 455–466.
date_created: 2018-12-11T11:53:34Z
date_published: 2015-05-26T00:00:00Z
date_updated: 2021-01-12T06:52:38Z
day: '26'
department:
- _id: NiBa
doi: 10.1071/BT15023
intvolume: ' 63'
issue: '5'
language:
- iso: eng
month: '05'
oa_version: None
page: 455 - 466
publication: Australian Journal of Botany
publication_status: published
publisher: CSIRO
publist_id: '5434'
quality_controlled: '1'
scopus_import: 1
status: public
title: An evaluation of the genetic structure of seed sources and the maintenance
of genetic diversity during establishment of two yellow box (Eucalyptus melliodora)
seed-production areas
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 63
year: '2015'
...
---
_id: '1818'
abstract:
- lang: eng
text: 'Why do species not adapt to ever-wider ranges of conditions, gradually expanding
their ecological niche and geographic range? Gene flow across environments has
two conflicting effects: although it increases genetic variation, which is a prerequisite
for adaptation, gene flow may swamp adaptation to local conditions. In 1956, Haldane
proposed that, when the environment varies across space, "swamping"
by gene flow creates a positive feedback between low population size and maladaptation,
leading to a sharp range margin. However, current deterministic theory shows that,
when variance can evolve, there is no such limit. Using simple analytical tools
and simulations, we show that genetic drift can generate a sharp margin to a species''
range, by reducing genetic variance below the level needed for adaptation to spatially
variable conditions. Aided by separation of ecological and evolutionary timescales,
the identified effective dimensionless parameters reveal a simple threshold that
predicts when adaptation at the range margin fails. Two observable parameters
determine the threshold: (i) the effective environmental gradient, which can be
measured by the loss of fitness due to dispersal to a different environment; and
(ii) the efficacy of selection relative to genetic drift. The theory predicts
sharp range margins even in the absence of abrupt changes in the environment.
Furthermore, it implies that gradual worsening of conditions across a species''
habitat may lead to a sudden range fragmentation, when adaptation to a wide span
of conditions within a single species becomes impossible.'
author:
- first_name: Jitka
full_name: Polechova, Jitka
id: 3BBFB084-F248-11E8-B48F-1D18A9856A87
last_name: Polechova
orcid: 0000-0003-0951-3112
- 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: Polechova J, Barton NH. Limits to adaptation along environmental gradients.
PNAS. 2015;112(20):6401-6406. doi:10.1073/pnas.1421515112
apa: Polechova, J., & Barton, N. H. (2015). Limits to adaptation along environmental
gradients. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1421515112
chicago: Polechova, Jitka, and Nicholas H Barton. “Limits to Adaptation along Environmental
Gradients.” PNAS. National Academy of Sciences, 2015. https://doi.org/10.1073/pnas.1421515112.
ieee: J. Polechova and N. H. Barton, “Limits to adaptation along environmental gradients,”
PNAS, vol. 112, no. 20. National Academy of Sciences, pp. 6401–6406, 2015.
ista: Polechova J, Barton NH. 2015. Limits to adaptation along environmental gradients.
PNAS. 112(20), 6401–6406.
mla: Polechova, Jitka, and Nicholas H. Barton. “Limits to Adaptation along Environmental
Gradients.” PNAS, vol. 112, no. 20, National Academy of Sciences, 2015,
pp. 6401–06, doi:10.1073/pnas.1421515112.
short: J. Polechova, N.H. Barton, PNAS 112 (2015) 6401–6406.
date_created: 2018-12-11T11:54:11Z
date_published: 2015-05-19T00:00:00Z
date_updated: 2021-01-12T06:53:24Z
day: '19'
department:
- _id: NiBa
doi: 10.1073/pnas.1421515112
ec_funded: 1
external_id:
pmid:
- '25941385'
intvolume: ' 112'
issue: '20'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4443383/
month: '05'
oa: 1
oa_version: Submitted Version
page: 6401 - 6406
pmid: 1
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: PNAS
publication_status: published
publisher: National Academy of Sciences
publist_id: '5288'
quality_controlled: '1'
scopus_import: 1
status: public
title: Limits to adaptation along environmental gradients
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 112
year: '2015'
...
---
_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: '1851'
abstract:
- lang: eng
text: We consider mating strategies for females who search for males sequentially
during a season of limited length. We show that the best strategy rejects a given
male type if encountered before a time-threshold but accepts him after. For frequency-independent
benefits, we obtain the optimal time-thresholds explicitly for both discrete and
continuous distributions of males, and allow for mistakes being made in assessing
the correct male type. When the benefits are indirect (genes for the offspring)
and the population is under frequency-dependent ecological selection, the benefits
depend on the mating strategy of other females as well. This case is particularly
relevant to speciation models that seek to explore the stability of reproductive
isolation by assortative mating under frequency-dependent ecological selection.
We show that the indirect benefits are to be quantified by the reproductive values
of couples, and describe how the evolutionarily stable time-thresholds can be
found. We conclude with an example based on the Levene model, in which we analyze
the evolutionarily stable assortative mating strategies and the strength of reproductive
isolation provided by them.
article_processing_charge: No
article_type: original
author:
- first_name: Tadeas
full_name: Priklopil, Tadeas
id: 3C869AA0-F248-11E8-B48F-1D18A9856A87
last_name: Priklopil
- first_name: Eva
full_name: Kisdi, Eva
last_name: Kisdi
- first_name: Mats
full_name: Gyllenberg, Mats
last_name: Gyllenberg
citation:
ama: Priklopil T, Kisdi E, Gyllenberg M. Evolutionarily stable mating decisions
for sequentially searching females and the stability of reproductive isolation
by assortative mating. Evolution. 2015;69(4):1015-1026. doi:10.1111/evo.12618
apa: Priklopil, T., Kisdi, E., & Gyllenberg, M. (2015). Evolutionarily stable
mating decisions for sequentially searching females and the stability of reproductive
isolation by assortative mating. Evolution. Wiley. https://doi.org/10.1111/evo.12618
chicago: Priklopil, Tadeas, Eva Kisdi, and Mats Gyllenberg. “Evolutionarily Stable
Mating Decisions for Sequentially Searching Females and the Stability of Reproductive
Isolation by Assortative Mating.” Evolution. Wiley, 2015. https://doi.org/10.1111/evo.12618.
ieee: T. Priklopil, E. Kisdi, and M. Gyllenberg, “Evolutionarily stable mating decisions
for sequentially searching females and the stability of reproductive isolation
by assortative mating,” Evolution, vol. 69, no. 4. Wiley, pp. 1015–1026,
2015.
ista: Priklopil T, Kisdi E, Gyllenberg M. 2015. Evolutionarily stable mating decisions
for sequentially searching females and the stability of reproductive isolation
by assortative mating. Evolution. 69(4), 1015–1026.
mla: Priklopil, Tadeas, et al. “Evolutionarily Stable Mating Decisions for Sequentially
Searching Females and the Stability of Reproductive Isolation by Assortative Mating.”
Evolution, vol. 69, no. 4, Wiley, 2015, pp. 1015–26, doi:10.1111/evo.12618.
short: T. Priklopil, E. Kisdi, M. Gyllenberg, Evolution 69 (2015) 1015–1026.
date_created: 2018-12-11T11:54:21Z
date_published: 2015-02-09T00:00:00Z
date_updated: 2022-06-07T10:52:37Z
day: '09'
ddc:
- '570'
department:
- _id: NiBa
- _id: KrCh
doi: 10.1111/evo.12618
ec_funded: 1
external_id:
pmid:
- '25662095'
file:
- access_level: open_access
checksum: 1e8be0b1d7598a78cd2623d8ee8e7798
content_type: application/pdf
creator: dernst
date_created: 2020-05-15T09:05:34Z
date_updated: 2020-07-14T12:45:19Z
file_id: '7855'
file_name: 2015_Evolution_Priklopil.pdf
file_size: 967214
relation: main_file
file_date_updated: 2020-07-14T12:45:19Z
has_accepted_license: '1'
intvolume: ' 69'
issue: '4'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Submitted Version
page: 1015 - 1026
pmid: 1
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Evolution
publication_identifier:
eissn:
- 1558-5646
issn:
- 0014-3820
publication_status: published
publisher: Wiley
publist_id: '5249'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Evolutionarily stable mating decisions for sequentially searching females and
the stability of reproductive isolation by assortative mating
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 69
year: '2015'
...
---
_id: '1883'
abstract:
- lang: eng
text: "We introduce a one-parametric family of tree growth models, in which branching
probabilities decrease with branch age τ as τ-α. Depending on the exponent α,
the scaling of tree depth with tree size n displays a transition between the logarithmic
scaling of random trees and an algebraic growth. At the transition (α=1) tree
depth grows as (logn)2. This anomalous scaling is in good agreement with the trend
observed in evolution of biological species, thus providing a theoretical support
for age-dependent speciation and associating it to the occurrence of a critical
point.\r\n"
article_number: '022803'
article_processing_charge: No
article_type: original
author:
- first_name: Stephanie
full_name: Keller-Schmidt, Stephanie
last_name: Keller-Schmidt
- first_name: Murat
full_name: Tugrul, Murat
id: 37C323C6-F248-11E8-B48F-1D18A9856A87
last_name: Tugrul
orcid: 0000-0002-8523-0758
- first_name: Víctor
full_name: Eguíluz, Víctor
last_name: Eguíluz
- first_name: Emilio
full_name: Hernandez Garcia, Emilio
last_name: Hernandez Garcia
- first_name: Konstantin
full_name: Klemm, Konstantin
last_name: Klemm
citation:
ama: Keller-Schmidt S, Tugrul M, Eguíluz V, Hernandez Garcia E, Klemm K. Anomalous
scaling in an age-dependent branching model. Physical Review E Statistical
Nonlinear and Soft Matter Physics. 2015;91(2). doi:10.1103/PhysRevE.91.022803
apa: Keller-Schmidt, S., Tugrul, M., Eguíluz, V., Hernandez Garcia, E., & Klemm,
K. (2015). Anomalous scaling in an age-dependent branching model. Physical
Review E Statistical Nonlinear and Soft Matter Physics. American Institute
of Physics. https://doi.org/10.1103/PhysRevE.91.022803
chicago: Keller-Schmidt, Stephanie, Murat Tugrul, Víctor Eguíluz, Emilio Hernandez
Garcia, and Konstantin Klemm. “Anomalous Scaling in an Age-Dependent Branching
Model.” Physical Review E Statistical Nonlinear and Soft Matter Physics.
American Institute of Physics, 2015. https://doi.org/10.1103/PhysRevE.91.022803.
ieee: S. Keller-Schmidt, M. Tugrul, V. Eguíluz, E. Hernandez Garcia, and K. Klemm,
“Anomalous scaling in an age-dependent branching model,” Physical Review E
Statistical Nonlinear and Soft Matter Physics, vol. 91, no. 2. American Institute
of Physics, 2015.
ista: Keller-Schmidt S, Tugrul M, Eguíluz V, Hernandez Garcia E, Klemm K. 2015.
Anomalous scaling in an age-dependent branching model. Physical Review E Statistical
Nonlinear and Soft Matter Physics. 91(2), 022803.
mla: Keller-Schmidt, Stephanie, et al. “Anomalous Scaling in an Age-Dependent Branching
Model.” Physical Review E Statistical Nonlinear and Soft Matter Physics,
vol. 91, no. 2, 022803, American Institute of Physics, 2015, doi:10.1103/PhysRevE.91.022803.
short: S. Keller-Schmidt, M. Tugrul, V. Eguíluz, E. Hernandez Garcia, K. Klemm,
Physical Review E Statistical Nonlinear and Soft Matter Physics 91 (2015).
date_created: 2018-12-11T11:54:31Z
date_published: 2015-02-02T00:00:00Z
date_updated: 2021-01-12T06:53:49Z
day: '02'
department:
- _id: NiBa
doi: 10.1103/PhysRevE.91.022803
external_id:
arxiv:
- '1012.3298'
intvolume: ' 91'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1012.3298
month: '02'
oa: 1
oa_version: Preprint
publication: Physical Review E Statistical Nonlinear and Soft Matter Physics
publication_status: published
publisher: American Institute of Physics
publist_id: '5213'
quality_controlled: '1'
scopus_import: 1
status: public
title: Anomalous scaling in an age-dependent branching model
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 91
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:
- access_level: open_access
checksum: d3a4a58ef4bd3b3e2f32b7fd7af4a743
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:09:07Z
date_updated: 2020-07-14T12:45:17Z
file_id: '4730'
file_name: IST-2016-453-v1+1_journal.pone.0126907.pdf
file_size: 2748982
relation: main_file
file_date_updated: 2020-07-14T12:45:17Z
has_accepted_license: '1'
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:
record:
- id: '9715'
relation: research_data
status: public
- id: '9772'
relation: research_data
status: public
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: '9712'
article_processing_charge: No
author:
- first_name: Murat
full_name: Tugrul, Murat
id: 37C323C6-F248-11E8-B48F-1D18A9856A87
last_name: Tugrul
orcid: 0000-0002-8523-0758
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- 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: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
citation:
ama: Tugrul M, Paixao T, Barton NH, Tkačik G. Other fitness models for comparison
& for interacting TFBSs. 2015. doi:10.1371/journal.pgen.1005639.s001
apa: Tugrul, M., Paixao, T., Barton, N. H., & Tkačik, G. (2015). Other fitness
models for comparison & for interacting TFBSs. Public Library of Science.
https://doi.org/10.1371/journal.pgen.1005639.s001
chicago: Tugrul, Murat, Tiago Paixao, Nicholas H Barton, and Gašper Tkačik. “Other
Fitness Models for Comparison & for Interacting TFBSs.” Public Library of
Science, 2015. https://doi.org/10.1371/journal.pgen.1005639.s001.
ieee: M. Tugrul, T. Paixao, N. H. Barton, and G. Tkačik, “Other fitness models for
comparison & for interacting TFBSs.” Public Library of Science, 2015.
ista: Tugrul M, Paixao T, Barton NH, Tkačik G. 2015. Other fitness models for comparison
& for interacting TFBSs, Public Library of Science, 10.1371/journal.pgen.1005639.s001.
mla: Tugrul, Murat, et al. Other Fitness Models for Comparison & for Interacting
TFBSs. Public Library of Science, 2015, doi:10.1371/journal.pgen.1005639.s001.
short: M. Tugrul, T. Paixao, N.H. Barton, G. Tkačik, (2015).
date_created: 2021-07-23T12:00:37Z
date_published: 2015-11-06T00:00:00Z
date_updated: 2023-02-23T10:09:08Z
day: '06'
department:
- _id: NiBa
- _id: CaGu
- _id: GaTk
doi: 10.1371/journal.pgen.1005639.s001
month: '11'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1666'
relation: used_in_publication
status: public
status: public
title: Other fitness models for comparison & for interacting TFBSs
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: '1666'
abstract:
- lang: eng
text: Evolution of gene regulation is crucial for our understanding of the phenotypic
differences between species, populations and individuals. Sequence-specific binding
of transcription factors to the regulatory regions on the DNA is a key regulatory
mechanism that determines gene expression and hence heritable phenotypic variation.
We use a biophysical model for directional selection on gene expression to estimate
the rates of gain and loss of transcription factor binding sites (TFBS) in finite
populations under both point and insertion/deletion mutations. Our results show
that these rates are typically slow for a single TFBS in an isolated DNA region,
unless the selection is extremely strong. These rates decrease drastically with
increasing TFBS length or increasingly specific protein-DNA interactions, making
the evolution of sites longer than ∼ 10 bp unlikely on typical eukaryotic speciation
timescales. Similarly, evolution converges to the stationary distribution of binding
sequences very slowly, making the equilibrium assumption questionable. The availability
of longer regulatory sequences in which multiple binding sites can evolve simultaneously,
the presence of “pre-sites” or partially decayed old sites in the initial sequence,
and biophysical cooperativity between transcription factors, can all facilitate
gain of TFBS and reconcile theoretical calculations with timescales inferred from
comparative genomics.
author:
- first_name: Murat
full_name: Tugrul, Murat
id: 37C323C6-F248-11E8-B48F-1D18A9856A87
last_name: Tugrul
orcid: 0000-0002-8523-0758
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- 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: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: Tugrul M, Paixao T, Barton NH, Tkačik G. Dynamics of transcription factor binding
site evolution. PLoS Genetics. 2015;11(11). doi:10.1371/journal.pgen.1005639
apa: Tugrul, M., Paixao, T., Barton, N. H., & Tkačik, G. (2015). Dynamics of
transcription factor binding site evolution. PLoS Genetics. Public Library
of Science. https://doi.org/10.1371/journal.pgen.1005639
chicago: Tugrul, Murat, Tiago Paixao, Nicholas H Barton, and Gašper Tkačik. “Dynamics
of Transcription Factor Binding Site Evolution.” PLoS Genetics. Public
Library of Science, 2015. https://doi.org/10.1371/journal.pgen.1005639.
ieee: M. Tugrul, T. Paixao, N. H. Barton, and G. Tkačik, “Dynamics of transcription
factor binding site evolution,” PLoS Genetics, vol. 11, no. 11. Public
Library of Science, 2015.
ista: Tugrul M, Paixao T, Barton NH, Tkačik G. 2015. Dynamics of transcription factor
binding site evolution. PLoS Genetics. 11(11).
mla: Tugrul, Murat, et al. “Dynamics of Transcription Factor Binding Site Evolution.”
PLoS Genetics, vol. 11, no. 11, Public Library of Science, 2015, doi:10.1371/journal.pgen.1005639.
short: M. Tugrul, T. Paixao, N.H. Barton, G. Tkačik, PLoS Genetics 11 (2015).
date_created: 2018-12-11T11:53:21Z
date_published: 2015-11-06T00:00:00Z
date_updated: 2023-09-07T11:53:49Z
day: '06'
ddc:
- '576'
department:
- _id: NiBa
- _id: CaGu
- _id: GaTk
doi: 10.1371/journal.pgen.1005639
ec_funded: 1
file:
- access_level: open_access
checksum: a4e72fca5ccf40ddacf4d08c8e46b554
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:07:58Z
date_updated: 2020-07-14T12:45:10Z
file_id: '4657'
file_name: IST-2016-463-v1+1_journal.pgen.1005639.pdf
file_size: 2580778
relation: main_file
file_date_updated: 2020-07-14T12:45:10Z
has_accepted_license: '1'
intvolume: ' 11'
issue: '11'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: PLoS Genetics
publication_status: published
publisher: Public Library of Science
publist_id: '5483'
pubrep_id: '463'
quality_controlled: '1'
related_material:
record:
- id: '9712'
relation: research_data
status: public
- id: '1131'
relation: dissertation_contains
status: public
scopus_import: 1
status: public
title: Dynamics of transcription factor binding site evolution
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: 11
year: '2015'
...
---
_id: '1835'
abstract:
- lang: eng
text: The behaviour of gene regulatory networks (GRNs) is typically analysed using
simulation-based statistical testing-like methods. In this paper, we demonstrate
that we can replace this approach by a formal verification-like method that gives
higher assurance and scalability. We focus on Wagner’s weighted GRN model with
varying weights, which is used in evolutionary biology. In the model, weight parameters
represent the gene interaction strength that may change due to genetic mutations.
For a property of interest, we synthesise the constraints over the parameter space
that represent the set of GRNs satisfying the property. We experimentally show
that our parameter synthesis procedure computes the mutational robustness of GRNs
–an important problem of interest in evolutionary biology– more efficiently than
the classical simulation method. We specify the property in linear temporal logics.
We employ symbolic bounded model checking and SMT solving to compute the space
of GRNs that satisfy the property, which amounts to synthesizing a set of linear
constraints on the weights.
acknowledgement: "SNSF Early Postdoc.Mobility Fellowship, the grant number P2EZP2
148797.\r\n"
alternative_title:
- LNCS
author:
- first_name: Mirco
full_name: Giacobbe, Mirco
id: 3444EA5E-F248-11E8-B48F-1D18A9856A87
last_name: Giacobbe
orcid: 0000-0001-8180-0904
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Ashutosh
full_name: Gupta, Ashutosh
id: 335E5684-F248-11E8-B48F-1D18A9856A87
last_name: Gupta
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Tatjana
full_name: Petrov, Tatjana
id: 3D5811FC-F248-11E8-B48F-1D18A9856A87
last_name: Petrov
orcid: 0000-0002-9041-0905
citation:
ama: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. Model checking
gene regulatory networks. 2015;9035:469-483. doi:10.1007/978-3-662-46681-0_47
apa: 'Giacobbe, M., Guet, C. C., Gupta, A., Henzinger, T. A., Paixao, T., &
Petrov, T. (2015). Model checking gene regulatory networks. Presented at the TACAS:
Tools and Algorithms for the Construction and Analysis of Systems, London, United
Kingdom: Springer. https://doi.org/10.1007/978-3-662-46681-0_47'
chicago: Giacobbe, Mirco, Calin C Guet, Ashutosh Gupta, Thomas A Henzinger, Tiago
Paixao, and Tatjana Petrov. “Model Checking Gene Regulatory Networks.” Lecture
Notes in Computer Science. Springer, 2015. https://doi.org/10.1007/978-3-662-46681-0_47.
ieee: M. Giacobbe, C. C. Guet, A. Gupta, T. A. Henzinger, T. Paixao, and T. Petrov,
“Model checking gene regulatory networks,” vol. 9035. Springer, pp. 469–483, 2015.
ista: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. 2015. Model
checking gene regulatory networks. 9035, 469–483.
mla: Giacobbe, Mirco, et al. Model Checking Gene Regulatory Networks. Vol.
9035, Springer, 2015, pp. 469–83, doi:10.1007/978-3-662-46681-0_47.
short: M. Giacobbe, C.C. Guet, A. Gupta, T.A. Henzinger, T. Paixao, T. Petrov, 9035
(2015) 469–483.
conference:
end_date: 2015-04-18
location: London, United Kingdom
name: 'TACAS: Tools and Algorithms for the Construction and Analysis of Systems'
start_date: 2015-04-11
date_created: 2018-12-11T11:54:16Z
date_published: 2015-04-01T00:00:00Z
date_updated: 2023-09-20T11:06:03Z
day: '01'
department:
- _id: ToHe
- _id: CaGu
- _id: NiBa
doi: 10.1007/978-3-662-46681-0_47
ec_funded: 1
intvolume: ' 9035'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1410.7704
month: '04'
oa: 1
oa_version: Preprint
page: 469 - 483
project:
- _id: 25EE3708-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '267989'
name: Quantitative Reactive Modeling
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
- _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
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication_status: published
publisher: Springer
publist_id: '5267'
quality_controlled: '1'
related_material:
record:
- id: '1351'
relation: later_version
status: public
scopus_import: 1
series_title: Lecture Notes in Computer Science
status: public
title: Model checking gene regulatory networks
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 9035
year: '2015'
...
---
_id: '1681'
abstract:
- lang: eng
text: In many social situations, individuals endeavor to find the single best possible
partner, but are constrained to evaluate the candidates in sequence. Examples
include the search for mates, economic partnerships, or any other long-term ties
where the choice to interact involves two parties. Surprisingly, however, previous
theoretical work on mutual choice problems focuses on finding equilibrium solutions,
while ignoring the evolutionary dynamics of decisions. Empirically, this may be
of high importance, as some equilibrium solutions can never be reached unless
the population undergoes radical changes and a sufficient number of individuals
change their decisions simultaneously. To address this question, we apply a mutual
choice sequential search problem in an evolutionary game-theoretical model that
allows one to find solutions that are favored by evolution. As an example, we
study the influence of sequential search on the evolutionary dynamics of cooperation.
For this, we focus on the classic snowdrift game and the prisoner’s dilemma game.
article_processing_charge: No
article_type: original
author:
- first_name: Tadeas
full_name: Priklopil, Tadeas
id: 3C869AA0-F248-11E8-B48F-1D18A9856A87
last_name: Priklopil
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
citation:
ama: Priklopil T, Chatterjee K. Evolution of decisions in population games with
sequentially searching individuals. Games. 2015;6(4):413-437. doi:10.3390/g6040413
apa: Priklopil, T., & Chatterjee, K. (2015). Evolution of decisions in population
games with sequentially searching individuals. Games. MDPI. https://doi.org/10.3390/g6040413
chicago: Priklopil, Tadeas, and Krishnendu Chatterjee. “Evolution of Decisions in
Population Games with Sequentially Searching Individuals.” Games. MDPI,
2015. https://doi.org/10.3390/g6040413.
ieee: T. Priklopil and K. Chatterjee, “Evolution of decisions in population games
with sequentially searching individuals,” Games, vol. 6, no. 4. MDPI, pp.
413–437, 2015.
ista: Priklopil T, Chatterjee K. 2015. Evolution of decisions in population games
with sequentially searching individuals. Games. 6(4), 413–437.
mla: Priklopil, Tadeas, and Krishnendu Chatterjee. “Evolution of Decisions in Population
Games with Sequentially Searching Individuals.” Games, vol. 6, no. 4, MDPI,
2015, pp. 413–37, doi:10.3390/g6040413.
short: T. Priklopil, K. Chatterjee, Games 6 (2015) 413–437.
date_created: 2018-12-11T11:53:26Z
date_published: 2015-09-29T00:00:00Z
date_updated: 2023-10-17T11:42:52Z
day: '29'
ddc:
- '000'
department:
- _id: NiBa
- _id: KrCh
doi: 10.3390/g6040413
ec_funded: 1
file:
- access_level: open_access
checksum: 912e1acbaf201100f447a43e4d5958bd
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:41Z
date_updated: 2020-07-14T12:45:12Z
file_id: '4959'
file_name: IST-2016-448-v1+1_games-06-00413.pdf
file_size: 518832
relation: main_file
file_date_updated: 2020-07-14T12:45:12Z
has_accepted_license: '1'
intvolume: ' 6'
issue: '4'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: 413 - 437
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
publication: Games
publication_identifier:
eissn:
- 2073-4336
publication_status: published
publisher: MDPI
publist_id: '5467'
pubrep_id: '448'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Evolution of decisions in population games with sequentially searching individuals
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: 6
year: '2015'
...
---
_id: '1896'
abstract:
- lang: eng
text: 'Biopolymer length regulation is a complex process that involves a large number
of biological, chemical, and physical subprocesses acting simultaneously across
multiple spatial and temporal scales. An illustrative example important for genomic
stability is the length regulation of telomeres - nucleoprotein structures at
the ends of linear chromosomes consisting of tandemly repeated DNA sequences and
a specialized set of proteins. Maintenance of telomeres is often facilitated by
the enzyme telomerase but, particularly in telomerase-free systems, the maintenance
of chromosomal termini depends on alternative lengthening of telomeres (ALT) mechanisms
mediated by recombination. Various linear and circular DNA structures were identified
to participate in ALT, however, dynamics of the whole process is still poorly
understood. We propose a chemical kinetics model of ALT with kinetic rates systematically
derived from the biophysics of DNA diffusion and looping. The reaction system
is reduced to a coagulation-fragmentation system by quasi-steady-state approximation.
The detailed treatment of kinetic rates yields explicit formulas for expected
size distributions of telomeres that demonstrate the key role played by the J
factor, a quantitative measure of bending of polymers. The results are in agreement
with experimental data and point out interesting phenomena: an appearance of very
long telomeric circles if the total telomere density exceeds a critical value
(excess mass) and a nonlinear response of the telomere size distributions to the
amount of telomeric DNA in the system. The results can be of general importance
for understanding dynamics of telomeres in telomerase-independent systems as this
mode of telomere maintenance is similar to the situation in tumor cells lacking
telomerase activity. Furthermore, due to its universality, the model may also
serve as a prototype of an interaction between linear and circular DNA structures
in various settings.'
acknowledgement: The work was supported by the VEGA Grant No. 1/0459/13 (R.K. and
K.B.).
article_number: '032701'
article_processing_charge: No
author:
- first_name: Richard
full_name: Kollár, Richard
last_name: Kollár
- first_name: Katarína
full_name: Bod'ová, Katarína
id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87
last_name: Bod'ová
orcid: 0000-0002-7214-0171
- first_name: Jozef
full_name: Nosek, Jozef
last_name: Nosek
- first_name: Ľubomír
full_name: Tomáška, Ľubomír
last_name: Tomáška
citation:
ama: Kollár R, Bodova K, Nosek J, Tomáška Ľ. Mathematical model of alternative mechanism
of telomere length maintenance. Physical Review E Statistical Nonlinear and
Soft Matter Physics. 2014;89(3). doi:10.1103/PhysRevE.89.032701
apa: Kollár, R., Bodova, K., Nosek, J., & Tomáška, Ľ. (2014). Mathematical model
of alternative mechanism of telomere length maintenance. Physical Review E
Statistical Nonlinear and Soft Matter Physics. American Institute of Physics.
https://doi.org/10.1103/PhysRevE.89.032701
chicago: Kollár, Richard, Katarina Bodova, Jozef Nosek, and Ľubomír Tomáška. “Mathematical
Model of Alternative Mechanism of Telomere Length Maintenance.” Physical Review
E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics,
2014. https://doi.org/10.1103/PhysRevE.89.032701.
ieee: R. Kollár, K. Bodova, J. Nosek, and Ľ. Tomáška, “Mathematical model of alternative
mechanism of telomere length maintenance,” Physical Review E Statistical Nonlinear
and Soft Matter Physics, vol. 89, no. 3. American Institute of Physics, 2014.
ista: Kollár R, Bodova K, Nosek J, Tomáška Ľ. 2014. Mathematical model of alternative
mechanism of telomere length maintenance. Physical Review E Statistical Nonlinear
and Soft Matter Physics. 89(3), 032701.
mla: Kollár, Richard, et al. “Mathematical Model of Alternative Mechanism of Telomere
Length Maintenance.” Physical Review E Statistical Nonlinear and Soft Matter
Physics, vol. 89, no. 3, 032701, American Institute of Physics, 2014, doi:10.1103/PhysRevE.89.032701.
short: R. Kollár, K. Bodova, J. Nosek, Ľ. Tomáška, Physical Review E Statistical
Nonlinear and Soft Matter Physics 89 (2014).
date_created: 2018-12-11T11:54:35Z
date_published: 2014-03-04T00:00:00Z
date_updated: 2022-08-01T10:50:10Z
day: '04'
department:
- _id: NiBa
- _id: GaTk
doi: 10.1103/PhysRevE.89.032701
intvolume: ' 89'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1402.0430
month: '03'
oa: 1
oa_version: Submitted Version
publication: Physical Review E Statistical Nonlinear and Soft Matter Physics
publication_status: published
publisher: American Institute of Physics
publist_id: '5198'
scopus_import: '1'
status: public
title: Mathematical model of alternative mechanism of telomere length maintenance
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 89
year: '2014'
...
---
_id: '1909'
abstract:
- lang: eng
text: 'Summary: Phenotypes are often environmentally dependent, which requires organisms
to track environmental change. The challenge for organisms is to construct phenotypes
using the most accurate environmental cue. Here, we use a quantitative genetic
model of adaptation by additive genetic variance, within- and transgenerational
plasticity via linear reaction norms and indirect genetic effects respectively.
We show how the relative influence on the eventual phenotype of these components
depends on the predictability of environmental change (fast or slow, sinusoidal
or stochastic) and the developmental lag τ between when the environment is perceived
and when selection acts. We then decompose expected mean fitness into three components
(variance load, adaptation and fluctuation load) to study the fitness costs of
within- and transgenerational plasticity. A strongly negative maternal effect
coefficient m minimizes the variance load, but a strongly positive m minimises
the fluctuation load. The adaptation term is maximized closer to zero, with positive
or negative m preferred under different environmental scenarios. Phenotypic plasticity
is higher when τ is shorter and when the environment changes frequently between
seasonal extremes. Expected mean population fitness is highest away from highest
observed levels of phenotypic plasticity. Within- and transgenerational plasticity
act in concert to deliver well-adapted phenotypes, which emphasizes the need to
study both simultaneously when investigating phenotypic evolution.'
acknowledgement: 'Engineering and Physical Sciences Research Council. Grant Number:
EP/H031928/1'
author:
- first_name: Thomas
full_name: Ezard, Thomas
last_name: Ezard
- first_name: Roshan
full_name: Prizak, Roshan
id: 4456104E-F248-11E8-B48F-1D18A9856A87
last_name: Prizak
- first_name: Rebecca
full_name: Hoyle, Rebecca
last_name: Hoyle
citation:
ama: Ezard T, Prizak R, Hoyle R. The fitness costs of adaptation via phenotypic
plasticity and maternal effects. Functional Ecology. 2014;28(3):693-701.
doi:10.1111/1365-2435.12207
apa: Ezard, T., Prizak, R., & Hoyle, R. (2014). The fitness costs of adaptation
via phenotypic plasticity and maternal effects. Functional Ecology. Wiley-Blackwell.
https://doi.org/10.1111/1365-2435.12207
chicago: Ezard, Thomas, Roshan Prizak, and Rebecca Hoyle. “The Fitness Costs of
Adaptation via Phenotypic Plasticity and Maternal Effects.” Functional Ecology.
Wiley-Blackwell, 2014. https://doi.org/10.1111/1365-2435.12207.
ieee: T. Ezard, R. Prizak, and R. Hoyle, “The fitness costs of adaptation via phenotypic
plasticity and maternal effects,” Functional Ecology, vol. 28, no. 3. Wiley-Blackwell,
pp. 693–701, 2014.
ista: Ezard T, Prizak R, Hoyle R. 2014. The fitness costs of adaptation via phenotypic
plasticity and maternal effects. Functional Ecology. 28(3), 693–701.
mla: Ezard, Thomas, et al. “The Fitness Costs of Adaptation via Phenotypic Plasticity
and Maternal Effects.” Functional Ecology, vol. 28, no. 3, Wiley-Blackwell,
2014, pp. 693–701, doi:10.1111/1365-2435.12207.
short: T. Ezard, R. Prizak, R. Hoyle, Functional Ecology 28 (2014) 693–701.
date_created: 2018-12-11T11:54:40Z
date_published: 2014-06-01T00:00:00Z
date_updated: 2021-01-12T06:54:00Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
- _id: GaTk
doi: 10.1111/1365-2435.12207
file:
- access_level: open_access
checksum: 3cbe8623174709a8ceec2103246f8fe0
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:15:45Z
date_updated: 2020-07-14T12:45:20Z
file_id: '5167'
file_name: IST-2016-419-v1+1_Ezard_et_al-2014-Functional_Ecology.pdf
file_size: 536154
relation: main_file
file_date_updated: 2020-07-14T12:45:20Z
has_accepted_license: '1'
intvolume: ' 28'
issue: '3'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 693 - 701
publication: Functional Ecology
publication_status: published
publisher: Wiley-Blackwell
publist_id: '5186'
pubrep_id: '419'
scopus_import: 1
status: public
title: The fitness costs of adaptation via phenotypic plasticity and maternal effects
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: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 28
year: '2014'
...
---
_id: '1908'
abstract:
- lang: eng
text: In large populations, multiple beneficial mutations may be simultaneously
spreading. In asexual populations, these mutations must either arise on the same
background or compete against each other. In sexual populations, recombination
can bring together beneficial alleles from different backgrounds, but tightly
linked alleles may still greatly interfere with each other. We show for well-mixed
populations that when this interference is strong, the genome can be seen as consisting
of many effectively asexual stretches linked together. The rate at which beneficial
alleles fix is thus roughly proportional to the rate of recombination and depends
only logarithmically on the mutation supply and the strength of selection. Our
scaling arguments also allow us to predict, with reasonable accuracy, the fitness
distribution of fixed mutations when the mutational effect sizes are broad. We
focus on the regime in which crossovers occur more frequently than beneficial
mutations, as is likely to be the case for many natural populations.
author:
- first_name: Daniel
full_name: Weissman, Daniel
id: 2D0CE020-F248-11E8-B48F-1D18A9856A87
last_name: Weissman
- first_name: Oskar
full_name: Hallatschek, Oskar
last_name: Hallatschek
citation:
ama: Weissman D, Hallatschek O. The rate of adaptation in large sexual populations
with linear chromosomes. Genetics. 2014;196(4):1167-1183. doi:10.1534/genetics.113.160705
apa: Weissman, D., & Hallatschek, O. (2014). The rate of adaptation in large
sexual populations with linear chromosomes. Genetics. Genetics Society
of America. https://doi.org/10.1534/genetics.113.160705
chicago: Weissman, Daniel, and Oskar Hallatschek. “The Rate of Adaptation in Large
Sexual Populations with Linear Chromosomes.” Genetics. Genetics Society
of America, 2014. https://doi.org/10.1534/genetics.113.160705.
ieee: D. Weissman and O. Hallatschek, “The rate of adaptation in large sexual populations
with linear chromosomes,” Genetics, vol. 196, no. 4. Genetics Society of
America, pp. 1167–1183, 2014.
ista: Weissman D, Hallatschek O. 2014. The rate of adaptation in large sexual populations
with linear chromosomes. Genetics. 196(4), 1167–1183.
mla: Weissman, Daniel, and Oskar Hallatschek. “The Rate of Adaptation in Large Sexual
Populations with Linear Chromosomes.” Genetics, vol. 196, no. 4, Genetics
Society of America, 2014, pp. 1167–83, doi:10.1534/genetics.113.160705.
short: D. Weissman, O. Hallatschek, Genetics 196 (2014) 1167–1183.
date_created: 2018-12-11T11:54:39Z
date_published: 2014-04-01T00:00:00Z
date_updated: 2021-01-12T06:53:59Z
day: '01'
department:
- _id: NiBa
doi: 10.1534/genetics.113.160705
ec_funded: 1
intvolume: ' 196'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1307.0737
month: '04'
oa: 1
oa_version: Submitted Version
page: 1167 - 1183
project:
- _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_status: published
publisher: Genetics Society of America
publist_id: '5187'
quality_controlled: '1'
scopus_import: 1
status: public
title: The rate of adaptation in large sexual populations with linear chromosomes
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 196
year: '2014'
...
---
_id: '1936'
abstract:
- lang: eng
text: 'The social intelligence hypothesis states that the need to cope with complexities
of social life has driven the evolution of advanced cognitive abilities. It is
usually invoked in the context of challenges arising from complex intragroup structures,
hierarchies, and alliances. However, a fundamental aspect of group living remains
largely unexplored as a driving force in cognitive evolution: the competition
between individuals searching for resources (producers) and conspecifics that
parasitize their findings (scroungers). In populations of social foragers, abilities
that enable scroungers to steal by outsmarting producers, and those allowing producers
to prevent theft by outsmarting scroungers, are likely to be beneficial and may
fuel a cognitive arms race. Using analytical theory and agent-based simulations,
we present a general model for such a race that is driven by the producer-scrounger
game and show that the race''s plausibility is dramatically affected by the nature
of the evolving abilities. If scrounging and scrounging avoidance rely on separate,
strategy-specific cognitive abilities, arms races are short-lived and have a limited
effect on cognition. However, general cognitive abilities that facilitate both
scrounging and scrounging avoidance undergo stable, long-lasting arms races. Thus,
ubiquitous foraging interactions may lead to the evolution of general cognitive
abilities in social animals, without the requirement of complex intragroup structures.'
author:
- first_name: Michal
full_name: Arbilly, Michal
last_name: Arbilly
- first_name: Daniel
full_name: Weissman, Daniel
id: 2D0CE020-F248-11E8-B48F-1D18A9856A87
last_name: Weissman
- first_name: Marcus
full_name: Feldman, Marcus
last_name: Feldman
- first_name: Uri
full_name: Grodzinski, Uri
last_name: Grodzinski
citation:
ama: Arbilly M, Weissman D, Feldman M, Grodzinski U. An arms race between producers
and scroungers can drive the evolution of social cognition. Behavioral Ecology.
2014;25(3):487-495. doi:10.1093/beheco/aru002
apa: Arbilly, M., Weissman, D., Feldman, M., & Grodzinski, U. (2014). An arms
race between producers and scroungers can drive the evolution of social cognition.
Behavioral Ecology. Oxford University Press. https://doi.org/10.1093/beheco/aru002
chicago: Arbilly, Michal, Daniel Weissman, Marcus Feldman, and Uri Grodzinski. “An
Arms Race between Producers and Scroungers Can Drive the Evolution of Social Cognition.”
Behavioral Ecology. Oxford University Press, 2014. https://doi.org/10.1093/beheco/aru002.
ieee: M. Arbilly, D. Weissman, M. Feldman, and U. Grodzinski, “An arms race between
producers and scroungers can drive the evolution of social cognition,” Behavioral
Ecology, vol. 25, no. 3. Oxford University Press, pp. 487–495, 2014.
ista: Arbilly M, Weissman D, Feldman M, Grodzinski U. 2014. An arms race between
producers and scroungers can drive the evolution of social cognition. Behavioral
Ecology. 25(3), 487–495.
mla: Arbilly, Michal, et al. “An Arms Race between Producers and Scroungers Can
Drive the Evolution of Social Cognition.” Behavioral Ecology, vol. 25,
no. 3, Oxford University Press, 2014, pp. 487–95, doi:10.1093/beheco/aru002.
short: M. Arbilly, D. Weissman, M. Feldman, U. Grodzinski, Behavioral Ecology 25
(2014) 487–495.
date_created: 2018-12-11T11:54:48Z
date_published: 2014-02-13T00:00:00Z
date_updated: 2021-01-12T06:54:11Z
day: '13'
department:
- _id: NiBa
doi: 10.1093/beheco/aru002
ec_funded: 1
intvolume: ' 25'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4014306/
month: '02'
oa: 1
oa_version: Submitted Version
page: 487 - 495
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Behavioral Ecology
publication_status: published
publisher: Oxford University Press
publist_id: '5157'
quality_controlled: '1'
scopus_import: 1
status: public
title: An arms race between producers and scroungers can drive the evolution of social
cognition
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 25
year: '2014'
...
---
_id: '1932'
abstract:
- lang: eng
text: The existence of complex (multiple-step) genetic adaptations that are "irreducible"
(i.e., all partial combinations are less fit than the original genotype) is one
of the longest standing problems in evolutionary biology. In standard genetics
parlance, these adaptations require the crossing of a wide adaptive valley of
deleterious intermediate stages. Here, we demonstrate, using a simple model, that
evolution can cross wide valleys to produce "irreducibly complex" adaptations
by making use of previously cryptic mutations. When revealed by an evolutionary
capacitor, previously cryptic mutants have higher initial frequencies than do
new mutations, bringing them closer to a valley-crossing saddle in allele frequency
space. Moreover, simple combinatorics implies an enormous number of candidate
combinations exist within available cryptic genetic variation. We model the dynamics
of crossing of a wide adaptive valley after a capacitance event using both numerical
simulations and analytical approximations. Although individual valley crossing
events become less likely as valleys widen, by taking the combinatorics of genotype
space into account, we see that revealing cryptic variation can cause the frequent
evolution of complex adaptations.
acknowledgement: "Funded by National Institutes of Health. Grant Numbers: R01GM076041,
R01GM104040 \r\n\r\nSimons Foundation\r\n\r\n"
author:
- first_name: Meredith
full_name: Trotter, Meredith
last_name: Trotter
- first_name: Daniel
full_name: Weissman, Daniel
id: 2D0CE020-F248-11E8-B48F-1D18A9856A87
last_name: Weissman
- first_name: Grant
full_name: Peterson, Grant
last_name: Peterson
- first_name: Kayla
full_name: Peck, Kayla
last_name: Peck
- first_name: Joanna
full_name: Masel, Joanna
last_name: Masel
citation:
ama: Trotter M, Weissman D, Peterson G, Peck K, Masel J. Cryptic genetic variation
can make "irreducible complexity" a common mode of adaptation
in sexual populations. Evolution. 2014;68(12):3357-3367. doi:10.1111/evo.12517
apa: Trotter, M., Weissman, D., Peterson, G., Peck, K., & Masel, J. (2014).
Cryptic genetic variation can make "irreducible complexity"
a common mode of adaptation in sexual populations. Evolution. Wiley-Blackwell.
https://doi.org/10.1111/evo.12517
chicago: Trotter, Meredith, Daniel Weissman, Grant Peterson, Kayla Peck, and Joanna
Masel. “Cryptic Genetic Variation Can Make "Irreducible Complexity"
a Common Mode of Adaptation in Sexual Populations.” Evolution. Wiley-Blackwell,
2014. https://doi.org/10.1111/evo.12517.
ieee: M. Trotter, D. Weissman, G. Peterson, K. Peck, and J. Masel, “Cryptic genetic
variation can make "irreducible complexity" a common mode of
adaptation in sexual populations,” Evolution, vol. 68, no. 12. Wiley-Blackwell,
pp. 3357–3367, 2014.
ista: Trotter M, Weissman D, Peterson G, Peck K, Masel J. 2014. Cryptic genetic
variation can make "irreducible complexity" a common mode of
adaptation in sexual populations. Evolution. 68(12), 3357–3367.
mla: Trotter, Meredith, et al. “Cryptic Genetic Variation Can Make "Irreducible
Complexity" a Common Mode of Adaptation in Sexual Populations.” Evolution,
vol. 68, no. 12, Wiley-Blackwell, 2014, pp. 3357–67, doi:10.1111/evo.12517.
short: M. Trotter, D. Weissman, G. Peterson, K. Peck, J. Masel, Evolution 68 (2014)
3357–3367.
date_created: 2018-12-11T11:54:47Z
date_published: 2014-12-01T00:00:00Z
date_updated: 2021-01-12T06:54:10Z
day: '01'
department:
- _id: NiBa
doi: 10.1111/evo.12517
ec_funded: 1
intvolume: ' 68'
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1310.6077
month: '12'
oa: 1
oa_version: Submitted Version
page: 3357 - 3367
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Evolution
publication_status: published
publisher: Wiley-Blackwell
publist_id: '5162'
quality_controlled: '1'
scopus_import: 1
status: public
title: Cryptic genetic variation can make "irreducible complexity" a common
mode of adaptation in sexual populations
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 68
year: '2014'
...