---
_id: '12081'
abstract:
- lang: eng
text: 'Selection accumulates information in the genome—it guides stochastically
evolving populations toward states (genotype frequencies) that would be unlikely
under neutrality. This can be quantified as the Kullback–Leibler (KL) divergence
between the actual distribution of genotype frequencies and the corresponding
neutral distribution. First, we show that this population-level information sets
an upper bound on the information at the level of genotype and phenotype, limiting
how precisely they can be specified by selection. Next, we study how the accumulation
and maintenance of information is limited by the cost of selection, measured as
the genetic load or the relative fitness variance, both of which we connect to
the control-theoretic KL cost of control. The information accumulation rate is
upper bounded by the population size times the cost of selection. This bound is
very general, and applies across models (Wright–Fisher, Moran, diffusion) and
to arbitrary forms of selection, mutation, and recombination. Finally, the cost
of maintaining information depends on how it is encoded: Specifying a single allele
out of two is expensive, but one bit encoded among many weakly specified loci
(as in a polygenic trait) is cheap.'
acknowledgement: We thank Ksenia Khudiakova, Wiktor Młynarski, Sean Stankowski, and
two anonymous reviewers for discussions and comments on the manuscript. G.T. and
M.H. acknowledge funding from the Human Frontier Science Program Grant RGP0032/2018.
N.B. acknowledges funding from ERC Grant 250152 “Information and Evolution.”
article_number: e2123152119
article_processing_charge: No
article_type: original
author:
- first_name: Michal
full_name: Hledik, Michal
id: 4171253A-F248-11E8-B48F-1D18A9856A87
last_name: Hledik
- 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: '1'
citation:
ama: Hledik M, Barton NH, Tkačik G. Accumulation and maintenance of information
in evolution. Proceedings of the National Academy of Sciences. 2022;119(36).
doi:10.1073/pnas.2123152119
apa: Hledik, M., Barton, N. H., & Tkačik, G. (2022). Accumulation and maintenance
of information in evolution. Proceedings of the National Academy of Sciences.
Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2123152119
chicago: Hledik, Michal, Nicholas H Barton, and Gašper Tkačik. “Accumulation and
Maintenance of Information in Evolution.” Proceedings of the National Academy
of Sciences. Proceedings of the National Academy of Sciences, 2022. https://doi.org/10.1073/pnas.2123152119.
ieee: M. Hledik, N. H. Barton, and G. Tkačik, “Accumulation and maintenance of information
in evolution,” Proceedings of the National Academy of Sciences, vol. 119,
no. 36. Proceedings of the National Academy of Sciences, 2022.
ista: Hledik M, Barton NH, Tkačik G. 2022. Accumulation and maintenance of information
in evolution. Proceedings of the National Academy of Sciences. 119(36), e2123152119.
mla: Hledik, Michal, et al. “Accumulation and Maintenance of Information in Evolution.”
Proceedings of the National Academy of Sciences, vol. 119, no. 36, e2123152119,
Proceedings of the National Academy of Sciences, 2022, doi:10.1073/pnas.2123152119.
short: M. Hledik, N.H. Barton, G. Tkačik, Proceedings of the National Academy of
Sciences 119 (2022).
date_created: 2022-09-11T22:01:55Z
date_published: 2022-08-29T00:00:00Z
date_updated: 2024-03-06T14:22:51Z
day: '29'
ddc:
- '570'
department:
- _id: NiBa
- _id: GaTk
doi: 10.1073/pnas.2123152119
ec_funded: 1
external_id:
isi:
- '000889278400014'
pmid:
- '36037343'
file:
- access_level: open_access
checksum: 6dec51f6567da9039982a571508a8e4d
content_type: application/pdf
creator: dernst
date_created: 2022-09-12T08:08:12Z
date_updated: 2022-09-12T08:08:12Z
file_id: '12091'
file_name: 2022_PNAS_Hledik.pdf
file_size: 2165752
relation: main_file
success: 1
file_date_updated: 2022-09-12T08:08:12Z
has_accepted_license: '1'
intvolume: ' 119'
isi: 1
issue: '36'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '08'
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
- _id: 2665AAFE-B435-11E9-9278-68D0E5697425
grant_number: RGP0034/2018
name: Can evolution minimize spurious signaling crosstalk to reach optimal performance?
publication: Proceedings of the National Academy of Sciences
publication_identifier:
eissn:
- 1091-6490
issn:
- 0027-8424
publication_status: published
publisher: Proceedings of the National Academy of Sciences
quality_controlled: '1'
related_material:
record:
- id: '15020'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Accumulation and maintenance of information in 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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 119
year: '2022'
...
---
_id: '11388'
abstract:
- lang: eng
text: "In evolve and resequence experiments, a population is sequenced, subjected
to selection and\r\nthen sequenced again, so that genetic changes before and after
selection can be observed at\r\nthe genetic level. Here, I use these studies to
better understand the genetic basis of complex\r\ntraits - traits which depend
on more than a few genes.\r\nIn the first chapter, I discuss the first evolve
and resequence experiment, in which a population\r\nof mice, the so-called \"Longshanks\"
mice, were selected for tibia length while their body mass\r\nwas kept constant.
The full pedigree is known. We observed a selection response on all\r\nchromosomes
and used the infinitesimal model with linkage, a model which assumes an infinite\r\nnumber
of genes with infinitesimally small effect sizes, as a null model. Results implied
a very\r\npolygenic basis with a few loci of major effect standing out and changing
in parallel. There\r\nwas large variability between the different chromosomes
in this study, probably due to LD.\r\nIn chapter two, I go on to discuss the impact
of LD, on the variability in an allele-frequency\r\nbased summary statistic, giving
an equation based on the initial allele frequencies, average\r\npairwise LD, and
the first four moments of the haplotype block copy number distribution. I\r\ndescribe
this distribution by referring back to the founder generation. I then demonstrate\r\nhow
to infer selection via a maximum likelihood scheme on the example of a single
locus and\r\ndiscuss how to extend this to more realistic scenarios.\r\nIn chapter
three, I discuss the second evolve and resequence experiment, in which a small\r\npopulation
of Drosophila melanogaster was selected for increased pupal case size over 6\r\ngenerations.
The experiment was highly replicated with 27 lines selected within family and
a\r\nknown pedigree. We observed a phenotypic selection response of over one standard
deviation.\r\nI describe the patterns in allele frequency data, including allele
frequency changes and patterns\r\nof heterozygosity, and give ideas for future
work."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Stefanie
full_name: Belohlavy, Stefanie
id: 43FE426A-F248-11E8-B48F-1D18A9856A87
last_name: Belohlavy
orcid: 0000-0002-9849-498X
citation:
ama: Belohlavy S. The genetic basis of complex traits studied via analysis of evolve
and resequence experiments. 2022. doi:10.15479/at:ista:11388
apa: Belohlavy, S. (2022). The genetic basis of complex traits studied via analysis
of evolve and resequence experiments. Institute of Science and Technology
Austria. https://doi.org/10.15479/at:ista:11388
chicago: Belohlavy, Stefanie. “The Genetic Basis of Complex Traits Studied via Analysis
of Evolve and Resequence Experiments.” Institute of Science and Technology Austria,
2022. https://doi.org/10.15479/at:ista:11388.
ieee: S. Belohlavy, “The genetic basis of complex traits studied via analysis of
evolve and resequence experiments,” Institute of Science and Technology Austria,
2022.
ista: Belohlavy S. 2022. The genetic basis of complex traits studied via analysis
of evolve and resequence experiments. Institute of Science and Technology Austria.
mla: Belohlavy, Stefanie. The Genetic Basis of Complex Traits Studied via Analysis
of Evolve and Resequence Experiments. Institute of Science and Technology
Austria, 2022, doi:10.15479/at:ista:11388.
short: S. Belohlavy, The Genetic Basis of Complex Traits Studied via Analysis of
Evolve and Resequence Experiments, Institute of Science and Technology Austria,
2022.
date_created: 2022-05-16T16:49:18Z
date_published: 2022-05-18T00:00:00Z
date_updated: 2023-08-29T06:41:51Z
day: '18'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: GradSch
- _id: NiBa
doi: 10.15479/at:ista:11388
file:
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checksum: 4d75e6a619df7e8a9d6e840aee182380
content_type: application/pdf
creator: sbelohla
date_created: 2022-05-19T13:03:13Z
date_updated: 2023-05-20T22:30:03Z
embargo: 2023-05-19
file_id: '11398'
file_name: thesis_sb_final_pdfa.pdf
file_size: 8247240
relation: main_file
- access_level: closed
checksum: 7a5d8b6dd0ca00784f860075b0a7d8f0
content_type: application/x-zip-compressed
creator: sbelohla
date_created: 2022-05-19T13:07:47Z
date_updated: 2023-05-20T22:30:03Z
embargo_to: open_access
file_id: '11399'
file_name: thesis_sb_final.zip
file_size: 7094
relation: source_file
file_date_updated: 2023-05-20T22:30:03Z
has_accepted_license: '1'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: '98'
publication_identifier:
isbn:
- 978-3-99078-018-3
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '6713'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
title: The genetic basis of complex traits studied via analysis of evolve and resequence
experiments
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: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2022'
...
---
_id: '10535'
abstract:
- lang: eng
text: Realistic models of biological processes typically involve interacting components
on multiple scales, driven by changing environment and inherent stochasticity.
Such models are often analytically and numerically intractable. We revisit a dynamic
maximum entropy method that combines a static maximum entropy with a quasi-stationary
approximation. This allows us to reduce stochastic non-equilibrium dynamics expressed
by the Fokker-Planck equation to a simpler low-dimensional deterministic dynamics,
without the need to track microscopic details. Although the method has been previously
applied to a few (rather complicated) applications in population genetics, our
main goal here is to explain and to better understand how the method works. We
demonstrate the usefulness of the method for two widely studied stochastic problems,
highlighting its accuracy in capturing important macroscopic quantities even in
rapidly changing non-stationary conditions. For the Ornstein-Uhlenbeck process,
the method recovers the exact dynamics whilst for a stochastic island model with
migration from other habitats, the approximation retains high macroscopic accuracy
under a wide range of scenarios in a dynamic environment.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "Computational resources for the study were provided by the Institute
of Science and Technology, Austria.\r\nKB received funding from the Scientific Grant
Agency of the Slovak Republic under the Grants Nos. 1/0755/19 and 1/0521/20."
article_number: e1009661
article_processing_charge: No
article_type: original
author:
- 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: Eniko
full_name: Szep, Eniko
id: 485BB5A4-F248-11E8-B48F-1D18A9856A87
last_name: Szep
- 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: Bodova K, Szep E, Barton NH. Dynamic maximum entropy provides accurate approximation
of structured population dynamics. PLoS Computational Biology. 2021;17(12).
doi:10.1371/journal.pcbi.1009661
apa: Bodova, K., Szep, E., & Barton, N. H. (2021). Dynamic maximum entropy provides
accurate approximation of structured population dynamics. PLoS Computational
Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1009661
chicago: Bodova, Katarina, Eniko Szep, and Nicholas H Barton. “Dynamic Maximum Entropy
Provides Accurate Approximation of Structured Population Dynamics.” PLoS Computational
Biology. Public Library of Science, 2021. https://doi.org/10.1371/journal.pcbi.1009661.
ieee: K. Bodova, E. Szep, and N. H. Barton, “Dynamic maximum entropy provides accurate
approximation of structured population dynamics,” PLoS Computational Biology,
vol. 17, no. 12. Public Library of Science, 2021.
ista: Bodova K, Szep E, Barton NH. 2021. Dynamic maximum entropy provides accurate
approximation of structured population dynamics. PLoS Computational Biology. 17(12),
e1009661.
mla: Bodova, Katarina, et al. “Dynamic Maximum Entropy Provides Accurate Approximation
of Structured Population Dynamics.” PLoS Computational Biology, vol. 17,
no. 12, e1009661, Public Library of Science, 2021, doi:10.1371/journal.pcbi.1009661.
short: K. Bodova, E. Szep, N.H. Barton, PLoS Computational Biology 17 (2021).
date_created: 2021-12-12T23:01:27Z
date_published: 2021-12-01T00:00:00Z
date_updated: 2022-08-01T10:48:04Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
- _id: GaTk
doi: 10.1371/journal.pcbi.1009661
external_id:
arxiv:
- '2102.03669'
pmid:
- '34851948'
file:
- access_level: open_access
checksum: dcd185d4f7e0acee25edf1d6537f447e
content_type: application/pdf
creator: dernst
date_created: 2022-05-16T08:53:11Z
date_updated: 2022-05-16T08:53:11Z
file_id: '11383'
file_name: 2021_PLOsComBio_Bodova.pdf
file_size: 2299486
relation: main_file
success: 1
file_date_updated: 2022-05-16T08:53:11Z
has_accepted_license: '1'
intvolume: ' 17'
issue: '12'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLoS Computational Biology
publication_identifier:
eissn:
- 1553-7358
issn:
- 1553-734X
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Dynamic maximum entropy provides accurate approximation of structured population
dynamics
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: 17
year: '2021'
...
---
_id: '8708'
abstract:
- lang: eng
text: The Mytilus complex of marine mussel species forms a mosaic of hybrid zones,
found across temperate regions of the globe. This allows us to study ‘replicated’
instances of secondary contact between closely related species. Previous work
on this complex has shown that local introgression is both widespread and highly
heterogeneous, and has identified SNPs that are outliers of differentiation between
lineages. Here, we developed an ancestry‐informative panel of such SNPs. We then
compared their frequencies in newly sampled populations, including samples from
within the hybrid zones, and parental populations at different distances from
the contact. Results show that close to the hybrid zones, some outlier loci are
near to fixation for the heterospecific allele, suggesting enhanced local introgression,
or the local sweep of a shared ancestral allele. Conversely, genomic cline analyses,
treating local parental populations as the reference, reveal a globally high concordance
among loci, albeit with a few signals of asymmetric introgression. Enhanced local
introgression at specific loci is consistent with the early transfer of adaptive
variants after contact, possibly including asymmetric bi‐stable variants (Dobzhansky‐Muller
incompatibilities), or haplotypes loaded with fewer deleterious mutations. Having
escaped one barrier, however, these variants can be trapped or delayed at the
next barrier, confining the introgression locally. These results shed light on
the decay of species barriers during phases of contact.
acknowledgement: Data used in this work were partly produced through the genotyping
and sequencing facilities of ISEM and LabEx CeMEB, an ANR ‘Investissements d'avenir’
program (ANR‐10‐LABX‐04‐01) This project benefited from the Montpellier Bioinformatics
Biodiversity platform supported by the LabEx CeMEB. We thank Norah Saarman, Grant
Pogson, Célia Gosset and Pierre‐Alexandre Gagnaire for providing samples. This work
was funded by a Languedoc‐Roussillon ‘Chercheur(se)s d'Avenir’ grant (Connect7 project).
P. Strelkov was supported by the Russian Science Foundation project 19‐74‐20024.
This is article 2020‐240 of Institut des Sciences de l'Evolution de Montpellier.
article_processing_charge: No
article_type: original
author:
- first_name: Alexis
full_name: Simon, Alexis
last_name: Simon
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Tahani
full_name: El Ayari, Tahani
last_name: El Ayari
- first_name: Cathy
full_name: Liautard‐Haag, Cathy
last_name: Liautard‐Haag
- first_name: Petr
full_name: Strelkov, Petr
last_name: Strelkov
- first_name: John J
full_name: Welch, John J
last_name: Welch
- first_name: Nicolas
full_name: Bierne, Nicolas
last_name: Bierne
citation:
ama: Simon A, Fraisse C, El Ayari T, et al. How do species barriers decay? Concordance
and local introgression in mosaic hybrid zones of mussels. Journal of Evolutionary
Biology. 2021;34(1):208-223. doi:10.1111/jeb.13709
apa: Simon, A., Fraisse, C., El Ayari, T., Liautard‐Haag, C., Strelkov, P., Welch,
J. J., & Bierne, N. (2021). How do species barriers decay? Concordance and
local introgression in mosaic hybrid zones of mussels. Journal of Evolutionary
Biology. Wiley. https://doi.org/10.1111/jeb.13709
chicago: Simon, Alexis, Christelle Fraisse, Tahani El Ayari, Cathy Liautard‐Haag,
Petr Strelkov, John J Welch, and Nicolas Bierne. “How Do Species Barriers Decay?
Concordance and Local Introgression in Mosaic Hybrid Zones of Mussels.” Journal
of Evolutionary Biology. Wiley, 2021. https://doi.org/10.1111/jeb.13709.
ieee: A. Simon et al., “How do species barriers decay? Concordance and local
introgression in mosaic hybrid zones of mussels,” Journal of Evolutionary Biology,
vol. 34, no. 1. Wiley, pp. 208–223, 2021.
ista: Simon A, Fraisse C, El Ayari T, Liautard‐Haag C, Strelkov P, Welch JJ, Bierne
N. 2021. How do species barriers decay? Concordance and local introgression in
mosaic hybrid zones of mussels. Journal of Evolutionary Biology. 34(1), 208–223.
mla: Simon, Alexis, et al. “How Do Species Barriers Decay? Concordance and Local
Introgression in Mosaic Hybrid Zones of Mussels.” Journal of Evolutionary Biology,
vol. 34, no. 1, Wiley, 2021, pp. 208–23, doi:10.1111/jeb.13709.
short: A. Simon, C. Fraisse, T. El Ayari, C. Liautard‐Haag, P. Strelkov, J.J. Welch,
N. Bierne, Journal of Evolutionary Biology 34 (2021) 208–223.
date_created: 2020-10-25T23:01:20Z
date_published: 2021-01-01T00:00:00Z
date_updated: 2023-08-04T11:04:11Z
day: '01'
department:
- _id: BeVi
- _id: NiBa
doi: 10.1111/jeb.13709
external_id:
isi:
- '000579599700001'
pmid:
- '33045123'
intvolume: ' 34'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/818559
month: '01'
oa: 1
oa_version: Preprint
page: 208-223
pmid: 1
publication: Journal of Evolutionary Biology
publication_identifier:
eissn:
- '14209101'
issn:
- 1010061X
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
record:
- id: '13073'
relation: research_data
status: public
scopus_import: '1'
status: public
title: How do species barriers decay? Concordance and local introgression in mosaic
hybrid zones of mussels
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 34
year: '2021'
...
---
_id: '8743'
abstract:
- lang: eng
text: 'Montane cloud forests are areas of high endemism, and are one of the more
vulnerable terrestrial ecosystems to climate change. Thus, understanding how they
both contribute to the generation of biodiversity, and will respond to ongoing
climate change, are important and related challenges. The widely accepted model
for montane cloud forest dynamics involves upslope forcing of their range limits
with global climate warming. However, limited climate data provides some support
for an alternative model, where range limits are forced downslope with climate
warming. Testing between these two models is challenging, due to the inherent
limitations of climate and pollen records. We overcome this with an alternative
source of historical information, testing between competing model predictions
using genomic data and demographic analyses for a species of beetle tightly associated
to an oceanic island cloud forest. Results unequivocally support the alternative
model: populations that were isolated at higher elevation peaks during the Last
Glacial Maximum are now in contact and hybridizing at lower elevations. Our results
suggest that genomic data are a rich source of information to further understand
how montane cloud forest biodiversity originates, and how it is likely to be impacted
by ongoing climate change.'
acknowledgement: 'This work was financed by the Spanish Agencia Estatal de Investigación
(CGL2017‐85718‐P), awarded to BCE, and co‐financed by FEDER. It was also supported
by the Spanish Ministerio de Ciencia, Innovación y Universidades (EQC2018‐004418‐P),
awarded to BCE. AS‐C was funded by the Spanish Ministerio de Ciencia, Innovación
y Universidades through an FPU PhD fellowship (FPU014/02948). The authors thank
Instituto Tecnológico y de Energías Renovables (ITER), S.A for providing access
to the Teide High‐Performance Computing facility (Teide‐HPC). Fieldwork was supported
by collecting permit AFF 107/17 (sigma number 2017‐00572) kindly provided by the
Cabildo of Tenerife. The authors wish to thank the following for field work and
sample sorting and identification: A. J. Pérez‐Delgado, H. López, and C. Andújar.
We also thank V. García‐Olivares for assistance with laboratory and bioinformatic
work.'
article_processing_charge: No
article_type: original
author:
- first_name: Antonia
full_name: Salces-Castellano, Antonia
last_name: Salces-Castellano
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
- first_name: Paula
full_name: Arribas, Paula
last_name: Arribas
- first_name: Jairo
full_name: Patino, Jairo
last_name: Patino
- first_name: 'Dirk N. '
full_name: 'Karger, Dirk N. '
last_name: Karger
- first_name: Roger
full_name: Butlin, Roger
last_name: Butlin
- first_name: Brent C.
full_name: Emerson, Brent C.
last_name: Emerson
citation:
ama: Salces-Castellano A, Stankowski S, Arribas P, et al. Long-term cloud forest
response to climate warming revealed by insect speciation history. Evolution.
2021;75(2):231-244. doi:10.1111/evo.14111
apa: Salces-Castellano, A., Stankowski, S., Arribas, P., Patino, J., Karger, D.
N., Butlin, R., & Emerson, B. C. (2021). Long-term cloud forest response to
climate warming revealed by insect speciation history. Evolution. Wiley.
https://doi.org/10.1111/evo.14111
chicago: Salces-Castellano, Antonia, Sean Stankowski, Paula Arribas, Jairo Patino,
Dirk N. Karger, Roger Butlin, and Brent C. Emerson. “Long-Term Cloud Forest Response
to Climate Warming Revealed by Insect Speciation History.” Evolution. Wiley,
2021. https://doi.org/10.1111/evo.14111.
ieee: A. Salces-Castellano et al., “Long-term cloud forest response to climate
warming revealed by insect speciation history,” Evolution, vol. 75, no.
2. Wiley, pp. 231–244, 2021.
ista: Salces-Castellano A, Stankowski S, Arribas P, Patino J, Karger DN, Butlin
R, Emerson BC. 2021. Long-term cloud forest response to climate warming revealed
by insect speciation history. Evolution. 75(2), 231–244.
mla: Salces-Castellano, Antonia, et al. “Long-Term Cloud Forest Response to Climate
Warming Revealed by Insect Speciation History.” Evolution, vol. 75, no.
2, Wiley, 2021, pp. 231–44, doi:10.1111/evo.14111.
short: A. Salces-Castellano, S. Stankowski, P. Arribas, J. Patino, D.N. Karger,
R. Butlin, B.C. Emerson, Evolution 75 (2021) 231–244.
date_created: 2020-11-08T23:01:26Z
date_published: 2021-02-01T00:00:00Z
date_updated: 2023-08-04T11:09:49Z
day: '01'
department:
- _id: NiBa
doi: 10.1111/evo.14111
external_id:
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- '33078844'
intvolume: ' 75'
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language:
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url: http://hdl.handle.net/10261/223937
month: '02'
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oa_version: Submitted Version
page: 231-244
pmid: 1
publication: Evolution
publication_identifier:
eissn:
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issn:
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publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: https://doi.org/10.1111/evo.14225
scopus_import: '1'
status: public
title: Long-term cloud forest response to climate warming revealed by insect speciation
history
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 75
year: '2021'
...