---
_id: '14850'
abstract:
- lang: eng
text: Elaborate sexual signals are thought to have evolved and be maintained to
serve as honest indicators of signaller quality. One measure of quality is health,
which can be affected by parasite infection. Cnemaspis mysoriensis is a diurnal
gecko that is often infested with ectoparasites in the wild, and males of this
species express visual (coloured gular patches) and chemical (femoral gland secretions)
traits that receivers could assess during social interactions. In this paper,
we tested whether ectoparasites affect individual health, and whether signal quality
is an indicator of ectoparasite levels. In wild lizards, we found that ectoparasite
level was negatively correlated with body condition in both sexes. Moreover, some
characteristics of both visual and chemical traits in males were strongly associated
with ectoparasite levels. Specifically, males with higher ectoparasite levels
had yellow gular patches with lower brightness and chroma, and chemical secretions
with a lower proportion of aromatic compounds. We then determined whether ectoparasite
levels in males influence female behaviour. Using sequential choice trials, wherein
females were provided with either the visual or the chemical signals of wild-caught
males that varied in ectoparasite level, we found that only chemical secretions
evoked an elevated female response towards less parasitised males. Simultaneous
choice trials in which females were exposed to the chemical secretions from males
that varied in parasite level further confirmed a preference for males with lower
parasites loads. Overall, we find that although health (body condition) or ectoparasite
load can be honestly advertised through multiple modalities, the parasite-mediated
female response is exclusively driven by chemical signals.
acknowledgement: "We thank Anuradha Batabyal and Shakilur Kabir for scientific discussions,
and help with sampling and colour analyses. We thank Muralidhar and the central
LCMS facility of the IISc for their technical support with the GCMS.\r\nResearch
funding was provided by the Department of Science and Technology Fund for Improvement
of S&T Infrastructure (DST-FIST), the Department of Biotechnology-Indian Institute
of Science (DBT-IISc) partnership program and a Science and Engineering Research
Board (SERB) grant to M.T. (EMR/2017/002228). Open Access funding provided by Indian
Institute of Science. Deposited in PMC for immediate release."
article_number: jeb246217
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Arka
full_name: Pal, Arka
id: 6AAB2240-CA9A-11E9-9C1A-D9D1E5697425
last_name: Pal
orcid: 0000-0002-4530-8469
- first_name: Mihir
full_name: Joshi, Mihir
last_name: Joshi
- first_name: Maria
full_name: Thaker, Maria
last_name: Thaker
citation:
ama: Pal A, Joshi M, Thaker M. Too much information? Males convey parasite levels
using more signal modalities than females utilise. Journal of Experimental
Biology. 2024;227(1). doi:10.1242/jeb.246217
apa: Pal, A., Joshi, M., & Thaker, M. (2024). Too much information? Males convey
parasite levels using more signal modalities than females utilise. Journal
of Experimental Biology. The Company of Biologists. https://doi.org/10.1242/jeb.246217
chicago: Pal, Arka, Mihir Joshi, and Maria Thaker. “Too Much Information? Males
Convey Parasite Levels Using More Signal Modalities than Females Utilise.” Journal
of Experimental Biology. The Company of Biologists, 2024. https://doi.org/10.1242/jeb.246217.
ieee: A. Pal, M. Joshi, and M. Thaker, “Too much information? Males convey parasite
levels using more signal modalities than females utilise,” Journal of Experimental
Biology, vol. 227, no. 1. The Company of Biologists, 2024.
ista: Pal A, Joshi M, Thaker M. 2024. Too much information? Males convey parasite
levels using more signal modalities than females utilise. Journal of Experimental
Biology. 227(1), jeb246217.
mla: Pal, Arka, et al. “Too Much Information? Males Convey Parasite Levels Using
More Signal Modalities than Females Utilise.” Journal of Experimental Biology,
vol. 227, no. 1, jeb246217, The Company of Biologists, 2024, doi:10.1242/jeb.246217.
short: A. Pal, M. Joshi, M. Thaker, Journal of Experimental Biology 227 (2024).
date_created: 2024-01-22T08:14:49Z
date_published: 2024-01-10T00:00:00Z
date_updated: 2024-01-23T12:13:08Z
day: '10'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1242/jeb.246217
external_id:
pmid:
- '38054353'
file:
- access_level: open_access
checksum: 136325372f6f45abaa62a71e2d23bfb6
content_type: application/pdf
creator: dernst
date_created: 2024-01-23T12:08:24Z
date_updated: 2024-01-23T12:08:24Z
file_id: '14877'
file_name: 2024_JourExperimBiology_Pal.pdf
file_size: 594128
relation: main_file
success: 1
file_date_updated: 2024-01-23T12:08:24Z
has_accepted_license: '1'
intvolume: ' 227'
issue: '1'
keyword:
- Insect Science
- Molecular Biology
- Animal Science and Zoology
- Aquatic Science
- Physiology
- Ecology
- Evolution
- Behavior and Systematics
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
pmid: 1
publication: Journal of Experimental Biology
publication_identifier:
eissn:
- 0022-0949
issn:
- 1477-9145
publication_status: published
publisher: The Company of Biologists
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/arka-pal/Cnemaspis-SexualSignaling
status: public
title: Too much information? Males convey parasite levels using more signal modalities
than females utilise
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: 227
year: '2024'
...
---
_id: '14711'
abstract:
- lang: eng
text: "In nature, different species find their niche in a range of environments,
each with its unique characteristics. While some thrive in uniform (homogeneous)
landscapes where environmental conditions stay relatively consistent across space,
others traverse the complexities of spatially heterogeneous terrains. Comprehending
how species are distributed and how they interact within these landscapes holds
the key to gaining insights into their evolutionary dynamics while also informing
conservation and management strategies.\r\n\r\nFor species inhabiting heterogeneous
landscapes, when the rate of dispersal is low compared to spatial fluctuations
in selection pressure, localized adaptations may emerge. Such adaptation in response
to varying selection strengths plays an important role in the persistence of populations
in our rapidly changing world. Hence, species in nature are continuously in a
struggle to adapt to local environmental conditions, to ensure their continued
survival. Natural populations can often adapt in time scales short enough for
evolutionary changes to influence ecological dynamics and vice versa, thereby
creating a feedback between evolution and demography. The analysis of this feedback
and the relative contributions of gene flow, demography, drift, and natural selection
to genetic variation and differentiation has remained a recurring theme in evolutionary
biology. Nevertheless, the effective role of these forces in maintaining variation
and shaping patterns of diversity is not fully understood. Even in homogeneous
environments devoid of local adaptations, such understanding remains elusive.
Understanding this feedback is crucial, for example in determining the conditions
under which extinction risk can be mitigated in peripheral populations subject
to deleterious mutation accumulation at the edges of species’ ranges\r\nas well
as in highly fragmented populations.\r\n\r\nIn this thesis we explore both uniform
and spatially heterogeneous metapopulations, investigating and providing theoretical
insights into the dynamics of local adaptation in the latter and examining the
dynamics of load and extinction as well as the impact of joint ecological and
evolutionary (eco-evolutionary) dynamics in the former. The thesis is divided
into 5 chapters.\r\n\r\nChapter 1 provides a general introduction into the subject
matter, clarifying concepts and ideas used throughout the thesis. In chapter 2,
we explore how fast a species distributed across a heterogeneous landscape adapts
to changing conditions marked by alterations in carrying capacity, selection pressure,
and migration rate.\r\n\r\nIn chapter 3, we investigate how migration selection
and drift influences adaptation and the maintenance of variation in a metapopulation
with three habitats, an extension of previous models of adaptation in two habitats.
We further develop analytical approximations for the critical threshold required
for polymorphism to persist.\r\n\r\nThe focus of chapter 4 of the thesis is on
understanding the interplay between ecology and evolution as coupled processes.
We investigate how eco-evolutionary feedback between migration, selection, drift,
and demography influences eco-evolutionary outcomes in marginal populations subject
to deleterious mutation accumulation. Using simulations as well as theoretical
approximations of the coupled dynamics of population size and allele frequency,
we analyze how gene flow from a large mainland source influences genetic load
and population size on an island (i.e., in a marginal population) under genetically
realistic assumptions. Analyses of this sort are important because small isolated
populations, are repeatedly affected by complex interactions between ecological
and evolutionary processes, which can lead to their death. Understanding these
interactions can therefore provide an insight into the conditions under which
extinction risk can be mitigated in peripheral populations thus, contributing
to conservation and restoration efforts.\r\n\r\nChapter 5 extends the analysis
in chapter 4 to consider the dynamics of load (due to deleterious mutation accumulation)
and extinction risk in a metapopulation. We explore the role of gene flow, selection,
and dominance on load and extinction risk and further pinpoint critical thresholds
required for metapopulation persistence.\r\n\r\nOverall this research contributes
to our understanding of ecological and evolutionary mechanisms that shape species’
persistence in fragmented landscapes, a crucial foundation for successful conservation
efforts and biodiversity management."
acknowledged_ssus:
- _id: SSU
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Oluwafunmilola O
full_name: Olusanya, Oluwafunmilola O
id: 41AD96DC-F248-11E8-B48F-1D18A9856A87
last_name: Olusanya
orcid: 0000-0003-1971-8314
citation:
ama: Olusanya OO. Local adaptation, genetic load and extinction in metapopulations.
2024. doi:10.15479/at:ista:14711
apa: Olusanya, O. O. (2024). Local adaptation, genetic load and extinction in
metapopulations. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:14711
chicago: Olusanya, Oluwafunmilola O. “Local Adaptation, Genetic Load and Extinction
in Metapopulations.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:14711.
ieee: O. O. Olusanya, “Local adaptation, genetic load and extinction in metapopulations,”
Institute of Science and Technology Austria, 2024.
ista: Olusanya OO. 2024. Local adaptation, genetic load and extinction in metapopulations.
Institute of Science and Technology Austria.
mla: Olusanya, Oluwafunmilola O. Local Adaptation, Genetic Load and Extinction
in Metapopulations. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:14711.
short: O.O. Olusanya, Local Adaptation, Genetic Load and Extinction in Metapopulations,
Institute of Science and Technology Austria, 2024.
date_created: 2023-12-26T22:49:53Z
date_published: 2024-01-19T00:00:00Z
date_updated: 2024-01-26T12:00:54Z
day: '19'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: NiBa
- _id: GradSch
doi: 10.15479/at:ista:14711
ec_funded: 1
file:
- access_level: closed
checksum: de179b1c6758f182ff0c70d8b38c1501
content_type: application/zip
creator: oolusany
date_created: 2024-01-03T18:30:13Z
date_updated: 2024-01-03T18:30:13Z
file_id: '14730'
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file_size: 16986244
relation: source_file
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content_type: application/pdf
creator: oolusany
date_created: 2024-01-03T18:31:34Z
date_updated: 2024-01-03T18:31:34Z
file_id: '14731'
file_name: FinalSubmission2_Thesis_OLUSANYA.pdf
file_size: 6460403
relation: main_file
success: 1
file_date_updated: 2024-01-03T18:31:34Z
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
month: '01'
oa: 1
oa_version: Published Version
page: '183'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: c08d3278-5a5b-11eb-8a69-fdb09b55f4b8
grant_number: P32896
name: Causes and consequences of population fragmentation
- _id: 34c872fe-11ca-11ed-8bc3-8534b82131e6
grant_number: '26380'
name: Polygenic Adaptation in a Metapopulation
publication_identifier:
issn:
- 2663 - 337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '10658'
relation: part_of_dissertation
status: public
- id: '10787'
relation: part_of_dissertation
status: public
- id: '14732'
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
- first_name: Jitka
full_name: Polechova, Jitka
last_name: Polechova
- first_name: Himani
full_name: Sachdeva, Himani
last_name: Sachdeva
title: Local adaptation, genetic load and extinction in metapopulations
tmp:
image: /images/cc_by_nc_sa.png
legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
BY-NC-SA 4.0)
short: CC BY-NC-SA (4.0)
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2024'
...
---
_id: '14796'
abstract:
- lang: eng
text: Key innovations are fundamental to biological diversification, but their genetic
basis is poorly understood. A recent transition from egg-laying to live-bearing
in marine snails (Littorina spp.) provides the opportunity to study the genetic
architecture of an innovation that has evolved repeatedly across animals. Individuals
do not cluster by reproductive mode in a genome-wide phylogeny, but local genealogical
analysis revealed numerous small genomic regions where all live-bearers carry
the same core haplotype. Candidate regions show evidence for live-bearer–specific
positive selection and are enriched for genes that are differentially expressed
between egg-laying and live-bearing reproductive systems. Ages of selective sweeps
suggest that live-bearer–specific alleles accumulated over more than 200,000 generations.
Our results suggest that new functions evolve through the recruitment of many
alleles rather than in a single evolutionary step.
acknowledgement: "We thank J. Galindo, M. Montaño-Rendón, N. Mikhailova, A. Blakeslee,
E. Arnason, and P. Kemppainen for providing samples; R. Turney, G. Sotelo, J. Larsson,
T. Broquet, and S. Loisel for help collecting samples; Science Animated for providing
the snail cartoons shown in Fig. 1; M. Dunning for help in developing bioinformatic
pipelines; R. Faria, H. Morales, and V. Sousa for advice; and M. Hahn, J. Slate,
M. Ravinet, J. Raeymaekers, A. Comeault, and N. Barton for feedback on a draft manuscript.\r\nThis
work was supported by the Natural Environment Research Council (grant NE/P001610/1
to R.K.B.), the European Research Council (grant ERC-2015-AdG693030-BARRIERS to
R.K.B.), the Norwegian Research Council (RCN Project 315287 to A.M.W.), and the
Swedish Research Council (grant 2020-05385 to E.L.)."
article_processing_charge: No
article_type: original
author:
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
- first_name: Zuzanna B.
full_name: Zagrodzka, Zuzanna B.
last_name: Zagrodzka
- first_name: Martin D.
full_name: Garlovsky, Martin D.
last_name: Garlovsky
- first_name: Arka
full_name: Pal, Arka
id: 6AAB2240-CA9A-11E9-9C1A-D9D1E5697425
last_name: Pal
orcid: 0000-0002-4530-8469
- first_name: Daria
full_name: Shipilina, Daria
id: 428A94B0-F248-11E8-B48F-1D18A9856A87
last_name: Shipilina
orcid: 0000-0002-1145-9226
- first_name: Diego Fernando
full_name: Garcia Castillo, Diego Fernando
id: ae681a14-dc74-11ea-a0a7-c6ef18161701
last_name: Garcia Castillo
- first_name: Hila
full_name: Lifchitz, Hila
id: d6ab5470-2fb3-11ed-8633-986a9b84edac
last_name: Lifchitz
- first_name: Alan
full_name: Le Moan, Alan
last_name: Le Moan
- first_name: Erica
full_name: Leder, Erica
last_name: Leder
- first_name: James
full_name: Reeve, James
last_name: Reeve
- first_name: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
- first_name: Anja M
full_name: Westram, Anja M
id: 3C147470-F248-11E8-B48F-1D18A9856A87
last_name: Westram
orcid: 0000-0003-1050-4969
- first_name: Roger K.
full_name: Butlin, Roger K.
last_name: Butlin
citation:
ama: Stankowski S, Zagrodzka ZB, Garlovsky MD, et al. The genetic basis of a recent
transition to live-bearing in marine snails. Science. 2024;383(6678):114-119.
doi:10.1126/science.adi2982
apa: Stankowski, S., Zagrodzka, Z. B., Garlovsky, M. D., Pal, A., Shipilina, D.,
Garcia Castillo, D. F., … Butlin, R. K. (2024). The genetic basis of a recent
transition to live-bearing in marine snails. Science. American Association
for the Advancement of Science. https://doi.org/10.1126/science.adi2982
chicago: Stankowski, Sean, Zuzanna B. Zagrodzka, Martin D. Garlovsky, Arka Pal,
Daria Shipilina, Diego Fernando Garcia Castillo, Hila Lifchitz, et al. “The Genetic
Basis of a Recent Transition to Live-Bearing in Marine Snails.” Science.
American Association for the Advancement of Science, 2024. https://doi.org/10.1126/science.adi2982.
ieee: S. Stankowski et al., “The genetic basis of a recent transition to
live-bearing in marine snails,” Science, vol. 383, no. 6678. American Association
for the Advancement of Science, pp. 114–119, 2024.
ista: Stankowski S, Zagrodzka ZB, Garlovsky MD, Pal A, Shipilina D, Garcia Castillo
DF, Lifchitz H, Le Moan A, Leder E, Reeve J, Johannesson K, Westram AM, Butlin
RK. 2024. The genetic basis of a recent transition to live-bearing in marine snails.
Science. 383(6678), 114–119.
mla: Stankowski, Sean, et al. “The Genetic Basis of a Recent Transition to Live-Bearing
in Marine Snails.” Science, vol. 383, no. 6678, American Association for
the Advancement of Science, 2024, pp. 114–19, doi:10.1126/science.adi2982.
short: S. Stankowski, Z.B. Zagrodzka, M.D. Garlovsky, A. Pal, D. Shipilina, D.F.
Garcia Castillo, H. Lifchitz, A. Le Moan, E. Leder, J. Reeve, K. Johannesson,
A.M. Westram, R.K. Butlin, Science 383 (2024) 114–119.
date_created: 2024-01-14T23:00:56Z
date_published: 2024-01-05T00:00:00Z
date_updated: 2024-03-05T09:35:25Z
day: '05'
department:
- _id: NiBa
- _id: GradSch
doi: 10.1126/science.adi2982
external_id:
pmid:
- '38175895'
intvolume: ' 383'
issue: '6678'
language:
- iso: eng
month: '01'
oa_version: None
page: 114-119
pmid: 1
publication: Science
publication_identifier:
eissn:
- 1095-9203
publication_status: published
publisher: American Association for the Advancement of Science
quality_controlled: '1'
related_material:
link:
- description: News on ISTA Website
relation: press_release
url: https://ista.ac.at/en/news/the-snail-or-the-egg/
record:
- id: '14812'
relation: research_data
status: public
scopus_import: '1'
status: public
title: The genetic basis of a recent transition to live-bearing in marine snails
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 383
year: '2024'
...
---
_id: '15020'
abstract:
- lang: eng
text: "This thesis consists of four distinct pieces of work within theoretical biology,
with two themes in common: the concept of optimization in biological systems,
and the use of information-theoretic tools to quantify biological stochasticity
and statistical uncertainty.\r\nChapter 2 develops a statistical framework for
studying biological systems which we believe to be optimized for a particular
utility function, such as retinal neurons conveying information about visual stimuli.
We formalize such beliefs as maximum-entropy Bayesian priors, constrained by the
expected utility. We explore how such priors aid inference of system parameters
with limited data and enable optimality hypothesis testing: is the utility higher
than by chance?\r\nChapter 3 examines the ultimate biological optimization process:
evolution by natural selection. As some individuals survive and reproduce more
successfully than others, populations evolve towards fitter genotypes and phenotypes.
We formalize this as accumulation of genetic information, and use population genetics
theory to study how much such information can be accumulated per generation and
maintained in the face of random mutation and genetic drift. We identify the population
size and fitness variance as the key quantities that control information accumulation
and maintenance.\r\nChapter 4 reuses the concept of genetic information from Chapter
3, but from a different perspective: we ask how much genetic information organisms
actually need, in particular in the context of gene regulation. For example, how
much information is needed to bind transcription factors at correct locations
within the genome? Population genetics provides us with a refined answer: with
an increasing population size, populations achieve higher fitness by maintaining
more genetic information. Moreover, regulatory parameters experience selection
pressure to optimize the fitness-information trade-off, i.e. minimize the information
needed for a given fitness. This provides an evolutionary derivation of the optimization
priors introduced in Chapter 2.\r\nChapter 5 proves an upper bound on mutual information
between a signal and a communication channel output (such as neural activity).
Mutual information is an important utility measure for biological systems, but
its practical use can be difficult due to the large dimensionality of many biological
channels. Sometimes, a lower bound on mutual information is computed by replacing
the high-dimensional channel outputs with decodes (signal estimates). Our result
provides a corresponding upper bound, provided that the decodes are the maximum
posterior estimates of the signal."
acknowledged_ssus:
- _id: ScienComp
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Michal
full_name: Hledik, Michal
id: 4171253A-F248-11E8-B48F-1D18A9856A87
last_name: Hledik
citation:
ama: Hledik M. Genetic information and biological optimization. 2024. doi:10.15479/at:ista:15020
apa: Hledik, M. (2024). Genetic information and biological optimization.
Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:15020
chicago: Hledik, Michal. “Genetic Information and Biological Optimization.” Institute
of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:15020.
ieee: M. Hledik, “Genetic information and biological optimization,” Institute of
Science and Technology Austria, 2024.
ista: Hledik M. 2024. Genetic information and biological optimization. Institute
of Science and Technology Austria.
mla: Hledik, Michal. Genetic Information and Biological Optimization. Institute
of Science and Technology Austria, 2024, doi:10.15479/at:ista:15020.
short: M. Hledik, Genetic Information and Biological Optimization, Institute of
Science and Technology Austria, 2024.
date_created: 2024-02-23T14:02:04Z
date_published: 2024-02-23T00:00:00Z
date_updated: 2024-03-06T14:22:52Z
day: '23'
ddc:
- '576'
- '519'
degree_awarded: PhD
department:
- _id: GradSch
- _id: NiBa
- _id: GaTk
doi: 10.15479/at:ista:15020
ec_funded: 1
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date_updated: 2024-02-23T13:50:53Z
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keyword:
- Theoretical biology
- Optimality
- Evolution
- Information
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '158'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 2665AAFE-B435-11E9-9278-68D0E5697425
grant_number: RGP0034/2018
name: Can evolution minimize spurious signaling crosstalk to reach optimal performance?
- _id: bd6958e0-d553-11ed-ba76-86eba6a76c00
grant_number: '101055327'
name: Understanding the evolution of continuous genomes
publication_identifier:
issn:
- 2663 - 337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '7553'
relation: part_of_dissertation
status: public
- id: '12081'
relation: part_of_dissertation
status: public
- id: '7606'
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
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
title: Genetic information and biological optimization
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2024'
...
---
_id: '15099'
abstract:
- lang: eng
text: Speciation is a key evolutionary process that is not yet fully understood.
Combining population genomic and ecological data from multiple diverging pairs
of marine snails (Littorina) supports the search for speciation mechanisms. Placing
pairs on a one-dimensional speciation continuum, from undifferentiated populations
to species, obscured the complexity of speciation. Adding multiple axes helped
to describe either speciation routes or reproductive isolation in the snails.
Divergent ecological selection repeatedly generated barriers between ecotypes,
but appeared less important in completing speciation while genetic incompatibilities
played a key role. Chromosomal inversions contributed to genomic barriers, but
with variable impact. A multidimensional (hypercube) approach supported framing
of questions and identification of knowledge gaps and can be useful to understand
speciation in many other systems.
acknowledgement: KJ, MR, and RKB were supported by grants from the Swedish Research
Council (2021-0419, 2021-05243, and 2018-03695, respectively). RKB was also supported
by the Leverhulme Trust (RPG-2021-141), RF by FCT- Portuguese Science Foundation
(PTDC/BIA-EVL/1614/2021 and 2020.00275.CEECIND), and AMW by Norwegian Research Council
RCN (Project number 315287). We thank the members of the Integration of Speciation
Research network for stimulating discussions, the Littorina research community for
important contributions of data and analyses, and Cynthia Riginos for useful comments
on an earlier draft.
article_processing_charge: Yes (in subscription journal)
article_type: review
author:
- first_name: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
- first_name: Alan
full_name: Le Moan, Alan
last_name: Le Moan
- first_name: Marina
full_name: Rafajlović, Marina
last_name: Rafajlović
- first_name: Anja M
full_name: Westram, Anja M
id: 3C147470-F248-11E8-B48F-1D18A9856A87
last_name: Westram
orcid: 0000-0003-1050-4969
- first_name: Roger K.
full_name: Butlin, Roger K.
last_name: Butlin
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
citation:
ama: Johannesson K, Faria R, Le Moan A, et al. Diverse pathways to speciation revealed
by marine snails. Trends in Genetics. 2024. doi:10.1016/j.tig.2024.01.002
apa: Johannesson, K., Faria, R., Le Moan, A., Rafajlović, M., Westram, A. M., Butlin,
R. K., & Stankowski, S. (2024). Diverse pathways to speciation revealed by
marine snails. Trends in Genetics. Cell Press. https://doi.org/10.1016/j.tig.2024.01.002
chicago: Johannesson, Kerstin, Rui Faria, Alan Le Moan, Marina Rafajlović, Anja
M Westram, Roger K. Butlin, and Sean Stankowski. “Diverse Pathways to Speciation
Revealed by Marine Snails.” Trends in Genetics. Cell Press, 2024. https://doi.org/10.1016/j.tig.2024.01.002.
ieee: K. Johannesson et al., “Diverse pathways to speciation revealed by
marine snails,” Trends in Genetics. Cell Press, 2024.
ista: Johannesson K, Faria R, Le Moan A, Rafajlović M, Westram AM, Butlin RK, Stankowski
S. 2024. Diverse pathways to speciation revealed by marine snails. Trends in Genetics.
mla: Johannesson, Kerstin, et al. “Diverse Pathways to Speciation Revealed by Marine
Snails.” Trends in Genetics, Cell Press, 2024, doi:10.1016/j.tig.2024.01.002.
short: K. Johannesson, R. Faria, A. Le Moan, M. Rafajlović, A.M. Westram, R.K. Butlin,
S. Stankowski, Trends in Genetics (2024).
date_created: 2024-03-10T23:00:54Z
date_published: 2024-02-22T00:00:00Z
date_updated: 2024-03-13T12:08:57Z
day: '22'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1016/j.tig.2024.01.002
external_id:
pmid:
- '38395682'
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1016/j.tig.2024.01.002
month: '02'
oa: 1
oa_version: Published Version
pmid: 1
publication: Trends in Genetics
publication_identifier:
eissn:
- 1362-4555
issn:
- 0168-9525
publication_status: epub_ahead
publisher: Cell Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Diverse pathways to speciation revealed by marine snails
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
year: '2024'
...