---
_id: '8951'
abstract:
- lang: eng
text: Gene expression levels are influenced by multiple coexisting molecular mechanisms.
Some of these interactions, such as those of transcription factors and promoters
have been studied extensively. However, predicting phenotypes of gene regulatory
networks remains a major challenge. Here, we use a well-defined synthetic gene
regulatory network to study how network phenotypes depend on local genetic context,
i.e. the genetic neighborhood of a transcription factor and its relative position.
We show that one gene regulatory network with fixed topology can display not only
quantitatively but also qualitatively different phenotypes, depending solely on
the local genetic context of its components. Our results demonstrate that changes
in local genetic context can place a single transcriptional unit within two separate
regulons without the need for complex regulatory sequences. We propose that relative
order of individual transcriptional units, with its potential for combinatorial
complexity, plays an important role in shaping phenotypes of gene regulatory networks.
article_processing_charge: No
author:
- first_name: Anna A
full_name: Nagy-Staron, Anna A
id: 3ABC5BA6-F248-11E8-B48F-1D18A9856A87
last_name: Nagy-Staron
orcid: 0000-0002-1391-8377
citation:
ama: Nagy-Staron AA. Sequences of gene regulatory network permutations for the article
“Local genetic context shapes the function of a gene regulatory network.” 2020.
doi:10.15479/AT:ISTA:8951
apa: Nagy-Staron, A. A. (2020). Sequences of gene regulatory network permutations
for the article “Local genetic context shapes the function of a gene regulatory
network.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:8951
chicago: Nagy-Staron, Anna A. “Sequences of Gene Regulatory Network Permutations
for the Article ‘Local Genetic Context Shapes the Function of a Gene Regulatory
Network.’” Institute of Science and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8951.
ieee: A. A. Nagy-Staron, “Sequences of gene regulatory network permutations for
the article ‘Local genetic context shapes the function of a gene regulatory network.’”
Institute of Science and Technology Austria, 2020.
ista: Nagy-Staron AA. 2020. Sequences of gene regulatory network permutations for
the article ‘Local genetic context shapes the function of a gene regulatory network’,
Institute of Science and Technology Austria, 10.15479/AT:ISTA:8951.
mla: Nagy-Staron, Anna A. Sequences of Gene Regulatory Network Permutations for
the Article “Local Genetic Context Shapes the Function of a Gene Regulatory Network.”
Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8951.
short: A.A. Nagy-Staron, (2020).
contributor:
- contributor_type: project_member
first_name: Anna A
id: 3ABC5BA6-F248-11E8-B48F-1D18A9856A87
last_name: Nagy-Staron
- contributor_type: project_member
first_name: Kathrin
id: 3AEC8556-F248-11E8-B48F-1D18A9856A87
last_name: Tomasek
- contributor_type: project_member
first_name: Caroline
last_name: Caruso Carter
- contributor_type: project_member
first_name: Elisabeth
last_name: Sonnleitner
- contributor_type: project_member
first_name: Bor
id: 350F91D2-F248-11E8-B48F-1D18A9856A87
last_name: Kavcic
orcid: 0000-0001-6041-254X
- contributor_type: project_member
first_name: Tiago
last_name: Paixão
- contributor_type: project_manager
first_name: Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
date_created: 2020-12-20T10:00:26Z
date_published: 2020-12-21T00:00:00Z
date_updated: 2024-02-21T12:41:57Z
day: '21'
ddc:
- '570'
department:
- _id: CaGu
doi: 10.15479/AT:ISTA:8951
file:
- access_level: open_access
checksum: f57862aeee1690c7effd2b1117d40ed1
content_type: text/plain
creator: bkavcic
date_created: 2020-12-20T09:52:52Z
date_updated: 2020-12-20T09:52:52Z
file_id: '8952'
file_name: readme.txt
file_size: 523
relation: main_file
success: 1
- access_level: open_access
checksum: f2c6d5232ec6d551b6993991e8689e9f
content_type: application/octet-stream
creator: bkavcic
date_created: 2020-12-20T22:01:44Z
date_updated: 2020-12-20T22:01:44Z
file_id: '8954'
file_name: GRNs Research depository.gb
file_size: 379228
relation: main_file
success: 1
file_date_updated: 2020-12-20T22:01:44Z
has_accepted_license: '1'
keyword:
- Gene regulatory networks
- Gene expression
- Escherichia coli
- Synthetic Biology
month: '12'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '9283'
relation: used_in_publication
status: public
status: public
title: Sequences of gene regulatory network permutations for the article "Local genetic
context shapes the function of a gene regulatory network"
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: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '5586'
abstract:
- lang: eng
text: Input files and scripts from "Evolution of gene dosage on the Z-chromosome
of schistosome parasites" by Picard M.A.L., et al (2018).
article_processing_charge: No
author:
- first_name: Beatriz
full_name: Vicoso, Beatriz
id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87
last_name: Vicoso
orcid: 0000-0002-4579-8306
citation:
ama: Vicoso B. Input files and scripts from “Evolution of gene dosage on the Z-chromosome
of schistosome parasites” by Picard M.A.L., et al (2018). 2018. doi:10.15479/AT:ISTA:109
apa: Vicoso, B. (2018). Input files and scripts from “Evolution of gene dosage on
the Z-chromosome of schistosome parasites” by Picard M.A.L., et al (2018). Institute
of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:109
chicago: Vicoso, Beatriz. “Input Files and Scripts from ‘Evolution of Gene Dosage
on the Z-Chromosome of Schistosome Parasites’ by Picard M.A.L., et Al (2018).”
Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:109.
ieee: B. Vicoso, “Input files and scripts from ‘Evolution of gene dosage on the
Z-chromosome of schistosome parasites’ by Picard M.A.L., et al (2018).” Institute
of Science and Technology Austria, 2018.
ista: Vicoso B. 2018. Input files and scripts from ‘Evolution of gene dosage on
the Z-chromosome of schistosome parasites’ by Picard M.A.L., et al (2018), Institute
of Science and Technology Austria, 10.15479/AT:ISTA:109.
mla: Vicoso, Beatriz. Input Files and Scripts from “Evolution of Gene Dosage
on the Z-Chromosome of Schistosome Parasites” by Picard M.A.L., et Al (2018).
Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:109.
short: B. Vicoso, (2018).
contributor:
- first_name: Marion A
id: 2C921A7A-F248-11E8-B48F-1D18A9856A87
last_name: Picard
orcid: 0000-0002-8101-2518
datarep_id: '109'
date_created: 2018-12-12T12:31:40Z
date_published: 2018-07-24T00:00:00Z
date_updated: 2024-02-21T13:45:12Z
day: '24'
ddc:
- '570'
department:
- _id: BeVi
doi: 10.15479/AT:ISTA:109
file:
- access_level: open_access
checksum: e60b484bd6f55c08eb66a189cb72c923
content_type: application/zip
creator: system
date_created: 2018-12-12T13:02:35Z
date_updated: 2020-07-14T12:47:08Z
file_id: '5601'
file_name: IST-2018-109-v1+1_SupplementaryMethods.zip
file_size: 11918144
relation: main_file
file_date_updated: 2020-07-14T12:47:08Z
has_accepted_license: '1'
keyword:
- schistosoma
- Z-chromosome
- gene expression
license: https://creativecommons.org/publicdomain/zero/1.0/
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 250ED89C-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28842-B22
name: Sex chromosome evolution under male- and female- heterogamety
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '131'
relation: research_paper
status: public
status: public
title: Input files and scripts from "Evolution of gene dosage on the Z-chromosome
of schistosome parasites" by Picard M.A.L., et al (2018)
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2018'
...
---
_id: '5757'
abstract:
- lang: eng
text: "File S1. Variant Calling Format file of the ingroup: 197 haploid sequences
of D. melanogaster from Zambia (Africa) aligned to the D. melanogaster 5.57 reference
genome.\r\n\r\nFile S2. Variant Calling Format file of the outgroup: 1 haploid
sequence of D. simulans aligned to the D. melanogaster 5.57 reference genome.\r\n\r\nFile
S3. Annotations of each transcript in coding regions with SNPeff: Ps (# of synonymous
polymorphic sites); Pn (# of non-synonymous polymorphic sites); Ds (# of synonymous
divergent sites); Dn (# of non-synonymous divergent sites); DoS; ⍺ MK . All variants
were included.\r\n\r\nFile S4. Annotations of each transcript in non-coding regions
with SNPeff: Ps (# of synonymous polymorphic sites); Pu (# of UTR polymorphic
sites); Ds (# of synonymous divergent sites); Du (# of UTR divergent sites); DoS;
⍺ MK . All variants were included.\r\n\r\nFile S5. Annotations of each transcript
in coding regions with SNPGenie: Ps (# of synonymous polymorphic sites); πs (synonymous
diversity); Ss_p (total # of synonymous sites in the polymorphism data); Pn (#
of non-synonymous polymorphic sites); πn (non-synonymous diversity); Sn_p (total
# of non-synonymous sites in the polymorphism data); Ds (# of synonymous divergent
sites); ks (synonymous evolutionary rate); Ss_d (total # of synonymous sites in
the divergence data); Dn (# of non-synonymous divergent sites); kn (non-synonymous
evolutionary rate); Sn_d (total # of non-\r\nsynonymous sites in the divergence
data); DoS; ⍺ MK . All variants were included.\r\n\r\nFile S6. Gene expression
values (RPKM summed over all transcripts) for each sample. Values were quantile-normalized
across all samples.\r\n\r\nFile S7. Final dataset with all covariates, ⍺ MK ,
ωA MK and DoS for coding sites, excluding variants below 5% frequency.\r\n\r\nFile
S8. Final dataset with all covariates, ⍺ MK , ωA MK and DoS for non-coding sites,
excluding variants below 5%\r\nfrequency.\r\n\r\nFile S9. Final dataset with all
covariates, ⍺ EWK , ωA EWK and deleterious SFS for coding sites obtained with
the Eyre-Walker and Keightley method on binned data and using all variants."
article_processing_charge: No
author:
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
citation:
ama: Fraisse C. Supplementary Files for “Pleiotropy modulates the efficacy of selection
in Drosophila melanogaster.” 2018. doi:10.15479/at:ista:/5757
apa: Fraisse, C. (2018). Supplementary Files for “Pleiotropy modulates the efficacy
of selection in Drosophila melanogaster.” Institute of Science and Technology
Austria. https://doi.org/10.15479/at:ista:/5757
chicago: Fraisse, Christelle. “Supplementary Files for ‘Pleiotropy Modulates the
Efficacy of Selection in Drosophila Melanogaster.’” Institute of Science and Technology
Austria, 2018. https://doi.org/10.15479/at:ista:/5757.
ieee: C. Fraisse, “Supplementary Files for ‘Pleiotropy modulates the efficacy of
selection in Drosophila melanogaster.’” Institute of Science and Technology Austria,
2018.
ista: Fraisse C. 2018. Supplementary Files for ‘Pleiotropy modulates the efficacy
of selection in Drosophila melanogaster’, Institute of Science and Technology
Austria, 10.15479/at:ista:/5757.
mla: Fraisse, Christelle. Supplementary Files for “Pleiotropy Modulates the Efficacy
of Selection in Drosophila Melanogaster.” Institute of Science and Technology
Austria, 2018, doi:10.15479/at:ista:/5757.
short: C. Fraisse, (2018).
contributor:
- first_name: Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
- first_name: Gemma
id: 33AB266C-F248-11E8-B48F-1D18A9856A87
last_name: Puixeu Sala
- first_name: Beatriz
id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87
last_name: Vicoso
orcid: 0000-0002-4579-8306
date_created: 2018-12-19T14:22:35Z
date_published: 2018-12-19T00:00:00Z
date_updated: 2024-02-21T13:59:18Z
day: '19'
ddc:
- '576'
department:
- _id: BeVi
- _id: NiBa
doi: 10.15479/at:ista:/5757
ec_funded: 1
file:
- access_level: open_access
checksum: aed7ee9ca3f4dc07d8a66945f68e13cd
content_type: application/zip
creator: cfraisse
date_created: 2018-12-19T14:19:52Z
date_updated: 2020-07-14T12:47:11Z
file_id: '5758'
file_name: FileS1.zip
file_size: 369837892
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checksum: 3592e467b4d8206650860b612d6e12f3
content_type: application/zip
creator: cfraisse
date_created: 2018-12-19T14:19:49Z
date_updated: 2020-07-14T12:47:11Z
file_id: '5759'
file_name: FileS2.zip
file_size: 84856909
relation: main_file
- access_level: open_access
checksum: c37ac5d5437c457338afc128c1240655
content_type: text/plain
creator: cfraisse
date_created: 2018-12-19T14:19:49Z
date_updated: 2020-07-14T12:47:11Z
file_id: '5760'
file_name: FileS3.txt
file_size: 881133
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checksum: 943dfd14da61817441e33e3e3cb8cdb9
content_type: text/plain
creator: cfraisse
date_created: 2018-12-19T14:19:49Z
date_updated: 2020-07-14T12:47:11Z
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creator: cfraisse
date_created: 2018-12-19T14:19:49Z
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file_date_updated: 2020-07-14T12:47:11Z
has_accepted_license: '1'
keyword:
- (mal)adaptation
- pleiotropy
- selective constraint
- evo-devo
- gene expression
- Drosophila melanogaster
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '6089'
relation: research_paper
status: public
status: public
title: Supplementary Files for "Pleiotropy modulates the efficacy of selection in
Drosophila melanogaster"
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2018'
...