---
_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'
...
---
_id: '15098'
abstract:
- lang: eng
text: The paper is devoted to the analysis of the global well-posedness and the
interior regularity of the 2D Navier–Stokes equations with inhomogeneous stochastic
boundary conditions. The noise, white in time and coloured in space, can be interpreted
as the physical law describing the driving mechanism on the atmosphere–ocean interface,
i.e. as a balance of the shear stress of the ocean and the horizontal wind force.
acknowledgement: The authors thank Professor Franco Flandoli for useful discussions
and valuable insight into the subject. In particular, A.A. would like to thank professor
Franco Flandoli for hosting and financially contributing to his research visit at
Scuola Normale di Pisa in January 2023, where this work started. E.L. would like
to express sincere gratitude to Professor Marco Fuhrman for igniting his interest
in this particular field of research. E.L. want to thank Professor Matthias Hieber
and Dr. Martin Saal for useful discussions. Finally, the authors thank the anonymous
referee for helpful comments which improved the paper from its initial version.Open
access funding provided by Scuola Normale Superiore within the CRUI-CARE Agreement.
A. Agresti has received funding from the European Research Council (ERC) under the
European Union’s Horizon 2020 research and innovation programme (Grant Agreement
No. 948819).
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Antonio
full_name: Agresti, Antonio
id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72
last_name: Agresti
orcid: 0000-0002-9573-2962
- first_name: Eliseo
full_name: Luongo, Eliseo
last_name: Luongo
citation:
ama: Agresti A, Luongo E. Global well-posedness and interior regularity of 2D Navier-Stokes
equations with stochastic boundary conditions. Mathematische Annalen. 2024.
doi:10.1007/s00208-024-02812-0
apa: Agresti, A., & Luongo, E. (2024). Global well-posedness and interior regularity
of 2D Navier-Stokes equations with stochastic boundary conditions. Mathematische
Annalen. Springer Nature. https://doi.org/10.1007/s00208-024-02812-0
chicago: Agresti, Antonio, and Eliseo Luongo. “Global Well-Posedness and Interior
Regularity of 2D Navier-Stokes Equations with Stochastic Boundary Conditions.”
Mathematische Annalen. Springer Nature, 2024. https://doi.org/10.1007/s00208-024-02812-0.
ieee: A. Agresti and E. Luongo, “Global well-posedness and interior regularity of
2D Navier-Stokes equations with stochastic boundary conditions,” Mathematische
Annalen. Springer Nature, 2024.
ista: Agresti A, Luongo E. 2024. Global well-posedness and interior regularity of
2D Navier-Stokes equations with stochastic boundary conditions. Mathematische
Annalen.
mla: Agresti, Antonio, and Eliseo Luongo. “Global Well-Posedness and Interior Regularity
of 2D Navier-Stokes Equations with Stochastic Boundary Conditions.” Mathematische
Annalen, Springer Nature, 2024, doi:10.1007/s00208-024-02812-0.
short: A. Agresti, E. Luongo, Mathematische Annalen (2024).
date_created: 2024-03-10T23:00:54Z
date_published: 2024-02-27T00:00:00Z
date_updated: 2024-03-13T12:20:23Z
day: '27'
department:
- _id: JuFi
doi: 10.1007/s00208-024-02812-0
ec_funded: 1
external_id:
arxiv:
- '2306.11081'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1007/s00208-024-02812-0
month: '02'
oa: 1
oa_version: Published Version
project:
- _id: 0aa76401-070f-11eb-9043-b5bb049fa26d
call_identifier: H2020
grant_number: '948819'
name: Bridging Scales in Random Materials
publication: Mathematische Annalen
publication_identifier:
eissn:
- 1432-1807
issn:
- 0025-5831
publication_status: epub_ahead
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Global well-posedness and interior regularity of 2D Navier-Stokes equations
with stochastic boundary conditions
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
_id: '15122'
abstract:
- lang: eng
text: Quantum computers are increasing in size and quality but are still very noisy.
Error mitigation extends the size of the quantum circuits that noisy devices can
meaningfully execute. However, state-of-the-art error mitigation methods are hard
to implement and the limited qubit connectivity in superconducting qubit devices
restricts most applications to the hardware's native topology. Here we show a
quantum approximate optimization algorithm (QAOA) on nonplanar random regular
graphs with up to 40 nodes enabled by a machine learning-based error mitigation.
We use a swap network with careful decision-variable-to-qubit mapping and a feed-forward
neural network to optimize a depth-two QAOA on up to 40 qubits. We observe a meaningful
parameter optimization for the largest graph which requires running quantum circuits
with 958 two-qubit gates. Our paper emphasizes the need to mitigate samples, and
not only expectation values, in quantum approximate optimization. These results
are a step towards executing quantum approximate optimization at a scale that
is not classically simulable. Reaching such system sizes is key to properly understanding
the true potential of heuristic algorithms like QAOA.
acknowledgement: S.H.S. acknowledges support from the IBM Ph.D. fellowship 2022 in
quantum computing. The authors also thank M. Serbyn, R. Kueng, R. A. Medina, and
S. Woerner for fruitful discussions.
article_number: '013223'
article_processing_charge: Yes
article_type: original
author:
- first_name: Stefan
full_name: Sack, Stefan
id: dd622248-f6e0-11ea-865d-ce382a1c81a5
last_name: Sack
orcid: 0000-0001-5400-8508
- first_name: Daniel J.
full_name: Egger, Daniel J.
last_name: Egger
citation:
ama: Sack S, Egger DJ. Large-scale quantum approximate optimization on nonplanar
graphs with machine learning noise mitigation. Physical Review Research.
2024;6(1). doi:10.1103/PhysRevResearch.6.013223
apa: Sack, S., & Egger, D. J. (2024). Large-scale quantum approximate optimization
on nonplanar graphs with machine learning noise mitigation. Physical Review
Research. American Physical Society. https://doi.org/10.1103/PhysRevResearch.6.013223
chicago: Sack, Stefan, and Daniel J. Egger. “Large-Scale Quantum Approximate Optimization
on Nonplanar Graphs with Machine Learning Noise Mitigation.” Physical Review
Research. American Physical Society, 2024. https://doi.org/10.1103/PhysRevResearch.6.013223.
ieee: S. Sack and D. J. Egger, “Large-scale quantum approximate optimization on
nonplanar graphs with machine learning noise mitigation,” Physical Review Research,
vol. 6, no. 1. American Physical Society, 2024.
ista: Sack S, Egger DJ. 2024. Large-scale quantum approximate optimization on nonplanar
graphs with machine learning noise mitigation. Physical Review Research. 6(1),
013223.
mla: Sack, Stefan, and Daniel J. Egger. “Large-Scale Quantum Approximate Optimization
on Nonplanar Graphs with Machine Learning Noise Mitigation.” Physical Review
Research, vol. 6, no. 1, 013223, American Physical Society, 2024, doi:10.1103/PhysRevResearch.6.013223.
short: S. Sack, D.J. Egger, Physical Review Research 6 (2024).
date_created: 2024-03-17T23:00:59Z
date_published: 2024-03-01T00:00:00Z
date_updated: 2024-03-19T07:24:03Z
day: '01'
ddc:
- '530'
department:
- _id: MaSe
doi: 10.1103/PhysRevResearch.6.013223
external_id:
arxiv:
- '2307.14427'
file:
- access_level: open_access
checksum: 274c9f1b15b3547a10a03f39e4ccc582
content_type: application/pdf
creator: dernst
date_created: 2024-03-19T07:16:38Z
date_updated: 2024-03-19T07:16:38Z
file_id: '15123'
file_name: 2024_PhysicalReviewResearch_Sack.pdf
file_size: 2777593
relation: main_file
success: 1
file_date_updated: 2024-03-19T07:16:38Z
has_accepted_license: '1'
intvolume: ' 6'
issue: '1'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
project:
- _id: bd660c93-d553-11ed-ba76-fb0fb6f49c0d
name: Quantum_Quantum Circuits and Software_Variational quantum algorithms on NISQ
devices
publication: Physical Review Research
publication_identifier:
issn:
- 2643-1564
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Large-scale quantum approximate optimization on nonplanar graphs with machine
learning noise mitigation
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: '2024'
...
---
_id: '15119'
abstract:
- lang: eng
text: In this paper we consider an SPDE where the leading term is a second order
operator with periodic boundary conditions, coefficients which are measurable
in (t,ω) , and Hölder continuous in space. Assuming stochastic parabolicity conditions,
we prove Lp((0,T)×Ω,tκdt;Hσ,q(Td)) -estimates. The main novelty is that we do
not require p=q . Moreover, we allow arbitrary σ∈R and weights in time. Such
mixed regularity estimates play a crucial role in applications to nonlinear SPDEs
which is clear from our previous work. To prove our main results we develop a
general perturbation theory for SPDEs. Moreover, we prove a new result on pointwise
multiplication in spaces with fractional smoothness.
acknowledgement: The first author has been partially supported by the Nachwuchsring
– Network for the promotion of young scientists – at TU Kaiserslautern. The second
author is supported by the VIDI subsidy 639.032.427 of the Netherlands Organisation
for Scientific Research (NWO). The authors thank the anonymous referees and Max
Sauerbrey for careful reading and helpful suggestions.
article_processing_charge: No
article_type: original
author:
- first_name: Antonio
full_name: Agresti, Antonio
id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72
last_name: Agresti
orcid: 0000-0002-9573-2962
- first_name: Mark
full_name: Veraar, Mark
last_name: Veraar
citation:
ama: Agresti A, Veraar M. Stochastic maximal Lp(Lq)-regularity for second order
systems with periodic boundary conditions. Annales de l’institut Henri Poincare
Probability and Statistics. 2024;60(1):413-430. doi:10.1214/22-AIHP1333
apa: Agresti, A., & Veraar, M. (2024). Stochastic maximal Lp(Lq)-regularity
for second order systems with periodic boundary conditions. Annales de l’institut
Henri Poincare Probability and Statistics. Institute of Mathematical Statistics.
https://doi.org/10.1214/22-AIHP1333
chicago: Agresti, Antonio, and Mark Veraar. “Stochastic Maximal Lp(Lq)-Regularity
for Second Order Systems with Periodic Boundary Conditions.” Annales de l’institut
Henri Poincare Probability and Statistics. Institute of Mathematical Statistics,
2024. https://doi.org/10.1214/22-AIHP1333.
ieee: A. Agresti and M. Veraar, “Stochastic maximal Lp(Lq)-regularity for second
order systems with periodic boundary conditions,” Annales de l’institut Henri
Poincare Probability and Statistics, vol. 60, no. 1. Institute of Mathematical
Statistics, pp. 413–430, 2024.
ista: Agresti A, Veraar M. 2024. Stochastic maximal Lp(Lq)-regularity for second
order systems with periodic boundary conditions. Annales de l’institut Henri Poincare
Probability and Statistics. 60(1), 413–430.
mla: Agresti, Antonio, and Mark Veraar. “Stochastic Maximal Lp(Lq)-Regularity for
Second Order Systems with Periodic Boundary Conditions.” Annales de l’institut
Henri Poincare Probability and Statistics, vol. 60, no. 1, Institute of Mathematical
Statistics, 2024, pp. 413–30, doi:10.1214/22-AIHP1333.
short: A. Agresti, M. Veraar, Annales de l’institut Henri Poincare Probability and
Statistics 60 (2024) 413–430.
date_created: 2024-03-17T23:00:58Z
date_published: 2024-02-01T00:00:00Z
date_updated: 2024-03-19T08:14:17Z
day: '01'
department:
- _id: JuFi
doi: 10.1214/22-AIHP1333
external_id:
arxiv:
- '2106.01274'
intvolume: ' 60'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2106.01274
month: '02'
oa: 1
oa_version: Preprint
page: 413-430
publication: Annales de l'institut Henri Poincare Probability and Statistics
publication_identifier:
issn:
- 0246-0203
publication_status: published
publisher: Institute of Mathematical Statistics
quality_controlled: '1'
scopus_import: '1'
status: public
title: Stochastic maximal Lp(Lq)-regularity for second order systems with periodic
boundary conditions
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 60
year: '2024'
...
---
_id: '14478'
abstract:
- lang: eng
text: Entire chromosomes are typically only transmitted vertically from one generation
to the next. The horizontal transfer of such chromosomes has long been considered
improbable, yet gained recent support in several pathogenic fungi where it may
affect the fitness or host specificity. To date, it is unknown how these transfers
occur, how common they are and whether they can occur between different species.
In this study, we show multiple independent instances of horizontal transfers
of the same accessory chromosome between two distinct strains of the asexual entomopathogenic
fungusMetarhizium robertsiiduring experimental co-infection
of its insect host, the Argentine ant. Notably, only the one chromosome – but
no other – was transferred from the donor to the recipient strain. The recipient
strain, now harboring the accessory chromosome, exhibited a competitive advantage
under certain host conditions. By phylogenetic analysis we further demonstrate
that the same accessory chromosome was horizontally transferred in a natural environment
betweenM. robertsiiand another congeneric insect pathogen,M.
guizhouense. Hence horizontal chromosome transfer is not limited
to the observed frequent events within species during experimental infections
but also occurs naturally across species. The transferred accessory chromosome
contains genes that might be involved in its preferential horizontal transfer,
encoding putative histones and histone-modifying enzymes, but also putative virulence
factors that may support its establishment. Our study reveals that both intra-
and interspecies horizontal transfer of entire chromosomes is more frequent than
previously assumed, likely representing a not uncommon mechanism for gene exchange.Significance
StatementThe enormous success of bacterial pathogens has
been attributed to their ability to exchange genetic material between one another.
Similarly, in eukaryotes, horizontal transfer of genetic material allowed the
spread of virulence factors across species. The horizontal transfer of whole chromosomes
could be an important pathway for such exchange of genetic material, but little
is known about the origin of transferable chromosomes and how frequently they
are exchanged. Here, we show that the transfer of accessory chromosomes - chromosomes
that are non-essential but may provide fitness benefits - is common during fungal
co-infections and is even possible between distant pathogenic species, highlighting
the importance of horizontal gene transfer via chromosome transfer also for the
evolution and function of eukaryotic pathogens.
acknowledgement: We thank Bernhardt Steinwender, Jorgen Eilenberg, and Nicolai V.
Meyling for the fungal strains. We further thank Chengshu Wang for providing the
short sequencing reads for M. guizhouense ARESF977 he used for his published genome
assembly, and Kristian Ullrich for help in the bioinformatics analysis for methylation
pattern in Nanopore reads, and the VBC and the Max Planck Society for the use of
their sequencing centers. We thank Barbara Milutinović and Hinrich Schulenburg for
discussion, and Tal Dagan and Jens Rolff for comments on a previous version of the
manuscript. Fig. 1A was created with BioRender.com. This study received funding
by the European Research Council under the European Union’s Horizon 2020 Research
and Innovation Programme (No. 771402; EPIDEMICSonCHIP) to S.C. and by the German
Research Foundation (DFG grant HA9263/1-1) to M.H.
article_number: e2316284121
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Michael
full_name: Habig, Michael
last_name: Habig
- first_name: Anna V
full_name: Grasse, Anna V
id: 406F989C-F248-11E8-B48F-1D18A9856A87
last_name: Grasse
- first_name: Judith
full_name: Müller, Judith
last_name: Müller
- first_name: Eva H.
full_name: Stukenbrock, Eva H.
last_name: Stukenbrock
- first_name: Hanna
full_name: Leitner, Hanna
id: 8fc5c6f6-5903-11ec-abad-c83f046253e7
last_name: Leitner
- first_name: Sylvia
full_name: Cremer, Sylvia
id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87
last_name: Cremer
orcid: 0000-0002-2193-3868
citation:
ama: Habig M, Grasse AV, Müller J, Stukenbrock EH, Leitner H, Cremer S. Frequent
horizontal chromosome transfer between asexual fungal insect pathogens. Proceedings
of the National Academy of Sciences of the United States of America. 2024;121(11).
doi:10.1073/pnas.2316284121
apa: Habig, M., Grasse, A. V., Müller, J., Stukenbrock, E. H., Leitner, H., &
Cremer, S. (2024). Frequent horizontal chromosome transfer between asexual fungal
insect pathogens. Proceedings of the National Academy of Sciences of the United
States of America. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2316284121
chicago: Habig, Michael, Anna V Grasse, Judith Müller, Eva H. Stukenbrock, Hanna
Leitner, and Sylvia Cremer. “Frequent Horizontal Chromosome Transfer between Asexual
Fungal Insect Pathogens.” Proceedings of the National Academy of Sciences of
the United States of America. Proceedings of the National Academy of Sciences,
2024. https://doi.org/10.1073/pnas.2316284121.
ieee: M. Habig, A. V. Grasse, J. Müller, E. H. Stukenbrock, H. Leitner, and S. Cremer,
“Frequent horizontal chromosome transfer between asexual fungal insect pathogens,”
Proceedings of the National Academy of Sciences of the United States of America,
vol. 121, no. 11. Proceedings of the National Academy of Sciences, 2024.
ista: Habig M, Grasse AV, Müller J, Stukenbrock EH, Leitner H, Cremer S. 2024. Frequent
horizontal chromosome transfer between asexual fungal insect pathogens. Proceedings
of the National Academy of Sciences of the United States of America. 121(11),
e2316284121.
mla: Habig, Michael, et al. “Frequent Horizontal Chromosome Transfer between Asexual
Fungal Insect Pathogens.” Proceedings of the National Academy of Sciences of
the United States of America, vol. 121, no. 11, e2316284121, Proceedings of
the National Academy of Sciences, 2024, doi:10.1073/pnas.2316284121.
short: M. Habig, A.V. Grasse, J. Müller, E.H. Stukenbrock, H. Leitner, S. Cremer,
Proceedings of the National Academy of Sciences of the United States of America
121 (2024).
date_created: 2023-10-31T13:30:00Z
date_published: 2024-03-12T00:00:00Z
date_updated: 2024-03-19T09:07:20Z
day: '12'
ddc:
- '570'
department:
- _id: SyCr
doi: 10.1073/pnas.2316284121
ec_funded: 1
external_id:
pmid:
- '38442176'
file:
- access_level: open_access
checksum: f5e871db617b682edc71fcd08670dc81
content_type: application/pdf
creator: dernst
date_created: 2024-03-19T09:02:57Z
date_updated: 2024-03-19T09:02:57Z
file_id: '15124'
file_name: 2024_PNAS_Habig.pdf
file_size: 5750361
relation: main_file
success: 1
file_date_updated: 2024-03-19T09:02:57Z
has_accepted_license: '1'
intvolume: ' 121'
issue: '11'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 2649B4DE-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '771402'
name: Epidemics in ant societies on a chip
publication: Proceedings of the National Academy of Sciences of the United States
of America
publication_identifier:
eissn:
- 1091-6490
issn:
- 0027-8424
publication_status: published
publisher: Proceedings of the National Academy of Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: Frequent horizontal chromosome transfer between asexual fungal insect pathogens
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: 121
year: '2024'
...