---
_id: '9410'
abstract:
- lang: eng
  text: Antibiotic concentrations vary dramatically in the body and the environment.
    Hence, understanding the dynamics of resistance evolution along antibiotic concentration
    gradients is critical for predicting and slowing the emergence and spread of resistance.
    While it has been shown that increasing the concentration of an antibiotic slows
    resistance evolution, how adaptation to one antibiotic concentration correlates
    with fitness at other points along the gradient has not received much attention.
    Here, we selected populations of Escherichia coli at several points along a concentration
    gradient for three different antibiotics, asking how rapidly resistance evolved
    and whether populations became specialized to the antibiotic concentration they
    were selected on. Populations selected at higher concentrations evolved resistance
    more slowly but exhibited equal or higher fitness across the whole gradient. Populations
    selected at lower concentrations evolved resistance rapidly, but overall fitness
    in the presence of antibiotics was lower. However, these populations readily adapted
    to higher concentrations upon subsequent selection. Our results indicate that
    resistance management strategies must account not only for the rates of resistance
    evolution but also for the fitness of evolved strains.
acknowledgement: We would like to thank Martin Ackermann, Camilo Barbosa, Nick Barton,
  Jonathan Bollback, Sebastian Bonhoeffer, Nick Colegrave, Calin Guet, Alex Hall,
  Sally Otto, Tiago Paixao, Srdjan Sarikas, Hinrich Schulenburg, Marjon de Vos and
  Michael Whitlock for insightful support.
article_number: '20200913'
article_processing_charge: No
author:
- first_name: Mato
  full_name: Lagator, Mato
  id: 345D25EC-F248-11E8-B48F-1D18A9856A87
  last_name: Lagator
- first_name: Hildegard
  full_name: Uecker, Hildegard
  id: 2DB8F68A-F248-11E8-B48F-1D18A9856A87
  last_name: Uecker
  orcid: 0000-0001-9435-2813
- first_name: Paul
  full_name: Neve, Paul
  last_name: Neve
citation:
  ama: Lagator M, Uecker H, Neve P. Adaptation at different points along antibiotic
    concentration gradients. <i>Biology letters</i>. 2021;17(5). doi:<a href="https://doi.org/10.1098/rsbl.2020.0913">10.1098/rsbl.2020.0913</a>
  apa: Lagator, M., Uecker, H., &#38; Neve, P. (2021). Adaptation at different points
    along antibiotic concentration gradients. <i>Biology Letters</i>. Royal Society
    of London. <a href="https://doi.org/10.1098/rsbl.2020.0913">https://doi.org/10.1098/rsbl.2020.0913</a>
  chicago: Lagator, Mato, Hildegard Uecker, and Paul Neve. “Adaptation at Different
    Points along Antibiotic Concentration Gradients.” <i>Biology Letters</i>. Royal
    Society of London, 2021. <a href="https://doi.org/10.1098/rsbl.2020.0913">https://doi.org/10.1098/rsbl.2020.0913</a>.
  ieee: M. Lagator, H. Uecker, and P. Neve, “Adaptation at different points along
    antibiotic concentration gradients,” <i>Biology letters</i>, vol. 17, no. 5. Royal
    Society of London, 2021.
  ista: Lagator M, Uecker H, Neve P. 2021. Adaptation at different points along antibiotic
    concentration gradients. Biology letters. 17(5), 20200913.
  mla: Lagator, Mato, et al. “Adaptation at Different Points along Antibiotic Concentration
    Gradients.” <i>Biology Letters</i>, vol. 17, no. 5, 20200913, Royal Society of
    London, 2021, doi:<a href="https://doi.org/10.1098/rsbl.2020.0913">10.1098/rsbl.2020.0913</a>.
  short: M. Lagator, H. Uecker, P. Neve, Biology Letters 17 (2021).
date_created: 2021-05-23T22:01:43Z
date_published: 2021-05-12T00:00:00Z
date_updated: 2025-05-28T11:42:50Z
day: '12'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1098/rsbl.2020.0913
ec_funded: 1
external_id:
  isi:
  - '000651501400001'
  pmid:
  - ' 33975485'
file:
- access_level: open_access
  checksum: 9c13c1f5af7609c97c741f11d293188a
  content_type: application/pdf
  creator: kschuh
  date_created: 2021-05-25T14:09:03Z
  date_updated: 2021-05-25T14:09:03Z
  file_id: '9425'
  file_name: 2021_BiologyLetters_Lagator.pdf
  file_size: 726759
  relation: main_file
  success: 1
file_date_updated: 2021-05-25T14:09:03Z
has_accepted_license: '1'
intvolume: '        17'
isi: 1
issue: '5'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
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: Biology letters
publication_identifier:
  eissn:
  - 1744957X
publication_status: published
publisher: Royal Society of London
quality_controlled: '1'
scopus_import: '1'
status: public
title: Adaptation at different points along antibiotic concentration gradients
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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 17
year: '2021'
...
---
_id: '1063'
abstract:
- lang: eng
  text: Severe environmental change can drive a population extinct unless the population
    adapts in time to the new conditions (“evolutionary rescue”). How does biparental
    sexual reproduction influence the chances of population persistence compared to
    clonal reproduction or selfing? In this article, we set up a one‐locus two‐allele
    model for adaptation in diploid species, where rescue is contingent on the establishment
    of the mutant homozygote. Reproduction can occur by random mating, selfing, or
    clonally. Random mating generates and destroys the rescue mutant; selfing is efficient
    at generating it but at the same time depletes the heterozygote, which can lead
    to a low mutant frequency in the standing genetic variation. Due to these (and
    other) antagonistic effects, we find a nontrivial dependence of population survival
    on the rate of sex/selfing, which is strongly influenced by the dominance coefficient
    of the mutation before and after the environmental change. Importantly, since
    mating with the wild‐type breaks the mutant homozygote up, a slow decay of the
    wild‐type population size can impede rescue in randomly mating populations.
article_processing_charge: No
author:
- first_name: Hildegard
  full_name: Uecker, Hildegard
  id: 2DB8F68A-F248-11E8-B48F-1D18A9856A87
  last_name: Uecker
  orcid: 0000-0001-9435-2813
citation:
  ama: Uecker H. Evolutionary rescue in randomly mating, selfing, and clonal populations.
    <i>Evolution</i>. 2017;71(4):845-858. doi:<a href="https://doi.org/10.1111/evo.13191">10.1111/evo.13191</a>
  apa: Uecker, H. (2017). Evolutionary rescue in randomly mating, selfing, and clonal
    populations. <i>Evolution</i>. Wiley-Blackwell. <a href="https://doi.org/10.1111/evo.13191">https://doi.org/10.1111/evo.13191</a>
  chicago: Uecker, Hildegard. “Evolutionary Rescue in Randomly Mating, Selfing, and
    Clonal Populations.” <i>Evolution</i>. Wiley-Blackwell, 2017. <a href="https://doi.org/10.1111/evo.13191">https://doi.org/10.1111/evo.13191</a>.
  ieee: H. Uecker, “Evolutionary rescue in randomly mating, selfing, and clonal populations,”
    <i>Evolution</i>, vol. 71, no. 4. Wiley-Blackwell, pp. 845–858, 2017.
  ista: Uecker H. 2017. Evolutionary rescue in randomly mating, selfing, and clonal
    populations. Evolution. 71(4), 845–858.
  mla: Uecker, Hildegard. “Evolutionary Rescue in Randomly Mating, Selfing, and Clonal
    Populations.” <i>Evolution</i>, vol. 71, no. 4, Wiley-Blackwell, 2017, pp. 845–58,
    doi:<a href="https://doi.org/10.1111/evo.13191">10.1111/evo.13191</a>.
  short: H. Uecker, Evolution 71 (2017) 845–858.
date_created: 2018-12-11T11:49:57Z
date_published: 2017-04-01T00:00:00Z
date_updated: 2025-05-28T11:42:51Z
day: '01'
department:
- _id: NiBa
doi: 10.1111/evo.13191
ec_funded: 1
external_id:
  isi:
  - '000398545200003'
intvolume: '        71'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://biorxiv.org/content/early/2016/10/14/081042
month: '04'
oa: 1
oa_version: Submitted Version
page: 845 - 858
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_identifier:
  issn:
  - '00143820'
publication_status: published
publisher: Wiley-Blackwell
publist_id: '6327'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Evolutionary rescue in randomly mating, selfing, and clonal populations
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 71
year: '2017'
...
---
_id: '1241'
abstract:
- lang: eng
  text: 'How likely is it that a population escapes extinction through adaptive evolution?
    The answer to this question is of great relevance in conservation biology, where
    we aim at species’ rescue and the maintenance of biodiversity, and in agriculture
    and medicine, where we seek to hamper the emergence of pesticide or drug resistance.
    By reshuffling the genome, recombination has two antagonistic effects on the probability
    of evolutionary rescue: It generates and it breaks up favorable gene combinations.
    Which of the two effects prevails depends on the fitness effects of mutations
    and on the impact of stochasticity on the allele frequencies. In this article,
    we analyze a mathematical model for rescue after a sudden environmental change
    when adaptation is contingent on mutations at two loci. The analysis reveals a
    complex nonlinear dependence of population survival on recombination. We moreover
    find that, counterintuitively, a fast eradication of the wild type can promote
    rescue in the presence of recombination. The model also shows that two-step rescue
    is not unlikely to happen and can even be more likely than single-step rescue
    (where adaptation relies on a single mutation), depending on the circumstances.'
acknowledgement: This work was made possible by a “For Women in Science” fellowship
  (L’Oréal Österreich in cooperation with the Austrian Commission for the United Nations
  Educational, Scientific, and Cultural Organization and the Austrian Academy of Sciences
  with financial support from the Federal Ministry for Science and Research Austria)
  and European Research Council grant 250152 (to Nick Barton).
author:
- first_name: Hildegard
  full_name: Uecker, Hildegard
  id: 2DB8F68A-F248-11E8-B48F-1D18A9856A87
  last_name: Uecker
  orcid: 0000-0001-9435-2813
- first_name: Joachim
  full_name: Hermisson, Joachim
  last_name: Hermisson
citation:
  ama: Uecker H, Hermisson J. The role of recombination in evolutionary rescue. <i>Genetics</i>.
    2016;202(2):721-732. doi:<a href="https://doi.org/10.1534/genetics.115.180299">10.1534/genetics.115.180299</a>
  apa: Uecker, H., &#38; Hermisson, J. (2016). The role of recombination in evolutionary
    rescue. <i>Genetics</i>. Genetics Society of America. <a href="https://doi.org/10.1534/genetics.115.180299">https://doi.org/10.1534/genetics.115.180299</a>
  chicago: Uecker, Hildegard, and Joachim Hermisson. “The Role of Recombination in
    Evolutionary Rescue.” <i>Genetics</i>. Genetics Society of America, 2016. <a href="https://doi.org/10.1534/genetics.115.180299">https://doi.org/10.1534/genetics.115.180299</a>.
  ieee: H. Uecker and J. Hermisson, “The role of recombination in evolutionary rescue,”
    <i>Genetics</i>, vol. 202, no. 2. Genetics Society of America, pp. 721–732, 2016.
  ista: Uecker H, Hermisson J. 2016. The role of recombination in evolutionary rescue.
    Genetics. 202(2), 721–732.
  mla: Uecker, Hildegard, and Joachim Hermisson. “The Role of Recombination in Evolutionary
    Rescue.” <i>Genetics</i>, vol. 202, no. 2, Genetics Society of America, 2016,
    pp. 721–32, doi:<a href="https://doi.org/10.1534/genetics.115.180299">10.1534/genetics.115.180299</a>.
  short: H. Uecker, J. Hermisson, Genetics 202 (2016) 721–732.
date_created: 2018-12-11T11:50:54Z
date_published: 2016-02-01T00:00:00Z
date_updated: 2023-02-21T10:24:19Z
day: '01'
department:
- _id: NiBa
doi: 10.1534/genetics.115.180299
ec_funded: 1
intvolume: '       202'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://biorxiv.org/content/early/2015/07/06/022020.abstract
month: '02'
oa: 1
oa_version: Preprint
page: 721 - 732
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '250152'
  name: Limits to selection in biology and in evolutionary computation
- _id: 25B67606-B435-11E9-9278-68D0E5697425
  name: L'OREAL Fellowship
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '6091'
quality_controlled: '1'
scopus_import: 1
status: public
title: The role of recombination in evolutionary rescue
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 202
year: '2016'
...
---
_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. <i>Journal of Mathematical Biology</i>. 2015;70(7):1523-1580. doi:<a
    href="https://doi.org/10.1007/s00285-014-0802-y">10.1007/s00285-014-0802-y</a>
  apa: Uecker, H., Setter, D., &#38; Hermisson, J. (2015). Adaptive gene introgression
    after secondary contact. <i>Journal of Mathematical Biology</i>. Springer. <a
    href="https://doi.org/10.1007/s00285-014-0802-y">https://doi.org/10.1007/s00285-014-0802-y</a>
  chicago: Uecker, Hildegard, Derek Setter, and Joachim Hermisson. “Adaptive Gene
    Introgression after Secondary Contact.” <i>Journal of Mathematical Biology</i>.
    Springer, 2015. <a href="https://doi.org/10.1007/s00285-014-0802-y">https://doi.org/10.1007/s00285-014-0802-y</a>.
  ieee: H. Uecker, D. Setter, and J. Hermisson, “Adaptive gene introgression after
    secondary contact,” <i>Journal of Mathematical Biology</i>, 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.”
    <i>Journal of Mathematical Biology</i>, vol. 70, no. 7, Springer, 2015, pp. 1523–80,
    doi:<a href="https://doi.org/10.1007/s00285-014-0802-y">10.1007/s00285-014-0802-y</a>.
  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'
...
