--- _id: '131' abstract: - lang: eng text: 'XY systems usually show chromosome-wide compensation of X-linked genes, while in many ZW systems, compensation is restricted to a minority of dosage-sensitive genes. Why such differences arose is still unclear. Here, we combine comparative genomics, transcriptomics and proteomics to obtain a complete overview of the evolution of gene dosage on the Z-chromosome of Schistosoma parasites. We compare the Z-chromosome gene content of African (Schistosoma mansoni and S. haematobium) and Asian (S. japonicum) schistosomes and describe lineage-specific evolutionary strata. We use these to assess gene expression evolution following sex-linkage. The resulting patterns suggest a reduction in expression of Z-linked genes in females, combined with upregulation of the Z in both sexes, in line with the first step of Ohno’s classic model of dosage compensation evolution. Quantitative proteomics suggest that post-transcriptional mechanisms do not play a major role in balancing the expression of Z-linked genes. ' acknowledgement: We are grateful to Lu Dabing (Soochow University, Suzhou, China) for providing Schistosoma japonicum samples, to Ariana Macon (IST Austria) and Georgette Stovall (JLU Giessen) for technical assistance, to IT support at IST Austria for providing optimal environment to bioinformatic analyses, and to the Vicoso lab for comments on the manuscript. article_number: e35684 article_processing_charge: No article_type: original author: - first_name: Marion A full_name: Picard, Marion A id: 2C921A7A-F248-11E8-B48F-1D18A9856A87 last_name: Picard orcid: 0000-0002-8101-2518 - first_name: Celine full_name: Cosseau, Celine last_name: Cosseau - first_name: Sabrina full_name: Ferré, Sabrina last_name: Ferré - first_name: Thomas full_name: Quack, Thomas last_name: Quack - first_name: Christoph full_name: Grevelding, Christoph last_name: Grevelding - first_name: Yohann full_name: Couté, Yohann last_name: Couté - first_name: Beatriz full_name: Vicoso, Beatriz id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87 last_name: Vicoso orcid: 0000-0002-4579-8306 citation: ama: Picard MAL, Cosseau C, Ferré S, et al. Evolution of gene dosage on the Z-chromosome of schistosome parasites. eLife. 2018;7. doi:10.7554/eLife.35684 apa: Picard, M. A. L., Cosseau, C., Ferré, S., Quack, T., Grevelding, C., Couté, Y., & Vicoso, B. (2018). Evolution of gene dosage on the Z-chromosome of schistosome parasites. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.35684 chicago: Picard, Marion A L, Celine Cosseau, Sabrina Ferré, Thomas Quack, Christoph Grevelding, Yohann Couté, and Beatriz Vicoso. “Evolution of Gene Dosage on the Z-Chromosome of Schistosome Parasites.” ELife. eLife Sciences Publications, 2018. https://doi.org/10.7554/eLife.35684. ieee: M. A. L. Picard et al., “Evolution of gene dosage on the Z-chromosome of schistosome parasites,” eLife, vol. 7. eLife Sciences Publications, 2018. ista: Picard MAL, Cosseau C, Ferré S, Quack T, Grevelding C, Couté Y, Vicoso B. 2018. Evolution of gene dosage on the Z-chromosome of schistosome parasites. eLife. 7, e35684. mla: Picard, Marion A. L., et al. “Evolution of Gene Dosage on the Z-Chromosome of Schistosome Parasites.” ELife, vol. 7, e35684, eLife Sciences Publications, 2018, doi:10.7554/eLife.35684. short: M.A.L. Picard, C. Cosseau, S. Ferré, T. Quack, C. Grevelding, Y. Couté, B. Vicoso, ELife 7 (2018). date_created: 2018-12-11T11:44:47Z date_published: 2018-08-13T00:00:00Z date_updated: 2024-02-21T13:45:12Z day: '13' ddc: - '570' department: - _id: BeVi doi: 10.7554/eLife.35684 external_id: isi: - '000441388200001' file: - access_level: open_access checksum: d6331d4385b1fffd6b47b45d5949d841 content_type: application/pdf creator: dernst date_created: 2018-12-17T11:55:05Z date_updated: 2020-07-14T12:44:43Z file_id: '5695' file_name: 2018_eLife_Picard.pdf file_size: 3158125 relation: main_file file_date_updated: 2020-07-14T12:44:43Z has_accepted_license: '1' intvolume: ' 7' isi: 1 language: - iso: eng month: '08' 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 publication: eLife publication_status: published publisher: eLife Sciences Publications publist_id: '7792' quality_controlled: '1' related_material: record: - id: '5586' relation: popular_science status: public scopus_import: '1' status: public title: Evolution of gene dosage on the Z-chromosome of schistosome parasites 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: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 7 year: '2018' ... --- _id: '5584' abstract: - lang: eng text: "This package contains data for the publication \"Nonlinear decoding of a complex movie from the mammalian retina\" by Deny S. et al, PLOS Comput Biol (2018). \r\n\r\nThe data consists of\r\n(i) 91 spike sorted, isolated rat retinal ganglion cells that pass stability and quality criteria, recorded on the multi-electrode array, in response to the presentation of the complex movie with many randomly moving dark discs. The responses are represented as 648000 x 91 binary matrix, where the first index indicates the timebin of duration 12.5 ms, and the second index the neural identity. The matrix entry is 0/1 if the neuron didn't/did spike in the particular time bin.\r\n(ii) README file and a graphical illustration of the structure of the experiment, specifying how the 648000 timebins are split into epochs where 1, 2, 4, or 10 discs were displayed, and which stimulus segments are exact repeats or unique ball trajectories.\r\n(iii) a 648000 x 400 matrix of luminance traces for each of the 20 x 20 positions (\"sites\") in the movie frame, with time that is locked to the recorded raster. The luminance traces are produced as described in the manuscript by filtering the raw disc movie with a small gaussian spatial kernel. " article_processing_charge: No author: - first_name: Stephane full_name: Deny, Stephane last_name: Deny - first_name: Olivier full_name: Marre, Olivier last_name: Marre - first_name: Vicente full_name: Botella-Soler, Vicente last_name: Botella-Soler - first_name: Georg S full_name: Martius, Georg S id: 3A276B68-F248-11E8-B48F-1D18A9856A87 last_name: Martius - first_name: Gasper full_name: Tkacik, Gasper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkacik orcid: 0000-0002-6699-1455 citation: ama: Deny S, Marre O, Botella-Soler V, Martius GS, Tkačik G. Nonlinear decoding of a complex movie from the mammalian retina. 2018. doi:10.15479/AT:ISTA:98 apa: Deny, S., Marre, O., Botella-Soler, V., Martius, G. S., & Tkačik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:98 chicago: Deny, Stephane, Olivier Marre, Vicente Botella-Soler, Georg S Martius, and Gašper Tkačik. “Nonlinear Decoding of a Complex Movie from the Mammalian Retina.” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:98. ieee: S. Deny, O. Marre, V. Botella-Soler, G. S. Martius, and G. Tkačik, “Nonlinear decoding of a complex movie from the mammalian retina.” Institute of Science and Technology Austria, 2018. ista: Deny S, Marre O, Botella-Soler V, Martius GS, Tkačik G. 2018. Nonlinear decoding of a complex movie from the mammalian retina, Institute of Science and Technology Austria, 10.15479/AT:ISTA:98. mla: Deny, Stephane, et al. Nonlinear Decoding of a Complex Movie from the Mammalian Retina. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:98. short: S. Deny, O. Marre, V. Botella-Soler, G.S. Martius, G. Tkačik, (2018). datarep_id: '98' date_created: 2018-12-12T12:31:39Z date_published: 2018-03-29T00:00:00Z date_updated: 2024-02-21T13:45:26Z day: '29' ddc: - '570' department: - _id: ChLa - _id: GaTk doi: 10.15479/AT:ISTA:98 file: - access_level: open_access checksum: 6808748837b9afbbbabc2a356ca2b88a content_type: application/octet-stream creator: system date_created: 2018-12-12T13:02:24Z date_updated: 2020-07-14T12:47:07Z file_id: '5590' file_name: IST-2018-98-v1+1_BBalls_area2_tile2_20x20.mat file_size: 1142543971 relation: main_file - access_level: open_access checksum: d6d6cd07743038fe3a12352983fcf9dd content_type: application/pdf creator: system date_created: 2018-12-12T13:02:25Z date_updated: 2020-07-14T12:47:07Z file_id: '5591' file_name: IST-2018-98-v1+2_ExperimentStructure.pdf file_size: 702336 relation: main_file - access_level: open_access checksum: 0c9cfb4dab35bb3dc25a04395600b1c8 content_type: application/octet-stream creator: system date_created: 2018-12-12T13:02:26Z date_updated: 2020-07-14T12:47:07Z file_id: '5592' file_name: IST-2018-98-v1+3_GoodLocations_area2_20x20.mat file_size: 432 relation: main_file - access_level: open_access checksum: 2a83b011012e21e934b4596285b1a183 content_type: text/plain creator: system date_created: 2018-12-12T13:02:26Z date_updated: 2020-07-14T12:47:07Z file_id: '5593' file_name: IST-2018-98-v1+4_README.txt file_size: 986 relation: main_file file_date_updated: 2020-07-14T12:47:07Z has_accepted_license: '1' keyword: - retina - decoding - regression - neural networks - complex stimulus license: https://creativecommons.org/publicdomain/zero/1.0/ month: '03' oa: 1 oa_version: Published Version project: - _id: 254D1A94-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P 25651-N26 name: Sensitivity to higher-order statistics in natural scenes publisher: Institute of Science and Technology Austria related_material: record: - id: '292' relation: used_in_publication status: public status: public title: Nonlinear decoding of a complex movie from the mammalian retina 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: '286' abstract: - lang: eng text: 'Pedigree and sibship reconstruction are important methods in quantifying relationships and fitness of individuals in natural populations. Current methods employ a Markov chain-based algorithm to explore plausible possible pedigrees iteratively. This provides accurate results, but is time-consuming. Here, we develop a method to infer sibship and paternity relationships from half-sibling arrays of known maternity using hierarchical clustering. Given 50 or more unlinked SNP markers and empirically derived error rates, the method performs as well as the widely used package Colony, but is faster by two orders of magnitude. Using simulations, we show that the method performs well across contrasting mating scenarios, even when samples are large. We then apply the method to open-pollinated arrays of the snapdragon Antirrhinum majus and find evidence for a high degree of multiple mating. Although we focus on diploid SNP data, the method does not depend on marker type and as such has broad applications in nonmodel systems. ' acknowledgement: 'ERC, Grant/Award Number: 250152' article_processing_charge: No author: - first_name: Thomas full_name: Ellis, Thomas id: 3153D6D4-F248-11E8-B48F-1D18A9856A87 last_name: Ellis orcid: 0000-0002-8511-0254 - first_name: David full_name: Field, David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field orcid: 0000-0002-4014-8478 - 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: Ellis T, Field D, Barton NH. Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering. Molecular Ecology Resources. 2018;18(5):988-999. doi:10.1111/1755-0998.12782 apa: Ellis, T., Field, D., & Barton, N. H. (2018). Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering. Molecular Ecology Resources. Wiley. https://doi.org/10.1111/1755-0998.12782 chicago: Ellis, Thomas, David Field, and Nicholas H Barton. “Efficient Inference of Paternity and Sibship Inference given Known Maternity via Hierarchical Clustering.” Molecular Ecology Resources. Wiley, 2018. https://doi.org/10.1111/1755-0998.12782. ieee: T. Ellis, D. Field, and N. H. Barton, “Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering,” Molecular Ecology Resources, vol. 18, no. 5. Wiley, pp. 988–999, 2018. ista: Ellis T, Field D, Barton NH. 2018. Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering. Molecular Ecology Resources. 18(5), 988–999. mla: Ellis, Thomas, et al. “Efficient Inference of Paternity and Sibship Inference given Known Maternity via Hierarchical Clustering.” Molecular Ecology Resources, vol. 18, no. 5, Wiley, 2018, pp. 988–99, doi:10.1111/1755-0998.12782. short: T. Ellis, D. Field, N.H. Barton, Molecular Ecology Resources 18 (2018) 988–999. date_created: 2018-12-11T11:45:37Z date_published: 2018-09-01T00:00:00Z date_updated: 2024-02-21T13:45:00Z day: '01' department: - _id: NiBa doi: 10.1111/1755-0998.12782 ec_funded: 1 external_id: isi: - '000441753000007' intvolume: ' 18' isi: 1 issue: '5' language: - iso: eng month: '09' oa_version: None page: 988 - 999 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Molecular Ecology Resources publication_status: published publisher: Wiley quality_controlled: '1' related_material: record: - id: '5583' relation: popular_science status: public scopus_import: '1' status: public title: Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 18 year: '2018' ... --- _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 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: '5583' abstract: - lang: eng text: "Data and scripts are provided in support of the manuscript \"Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering\", and the associated Python package FAPS, available from www.github.com/ellisztamas/faps.\r\n\r\nSimulation scripts cover:\r\n1. Performance under different mating scenarios.\r\n2. Comparison with Colony2.\r\n3. Effect of changing the number of Monte Carlo draws\r\n\r\nThe final script covers the analysis of half-sib arrays from wild-pollinated seed in an Antirrhinum majus hybrid zone." article_processing_charge: No author: - first_name: Thomas full_name: Ellis, Thomas id: 3153D6D4-F248-11E8-B48F-1D18A9856A87 last_name: Ellis orcid: 0000-0002-8511-0254 citation: ama: Ellis T. Data and Python scripts supporting Python package FAPS. 2018. doi:10.15479/AT:ISTA:95 apa: Ellis, T. (2018). Data and Python scripts supporting Python package FAPS. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:95 chicago: Ellis, Thomas. “Data and Python Scripts Supporting Python Package FAPS.” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:95. ieee: T. Ellis, “Data and Python scripts supporting Python package FAPS.” Institute of Science and Technology Austria, 2018. ista: Ellis T. 2018. Data and Python scripts supporting Python package FAPS, Institute of Science and Technology Austria, 10.15479/AT:ISTA:95. mla: Ellis, Thomas. Data and Python Scripts Supporting Python Package FAPS. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:95. short: T. Ellis, (2018). contributor: - first_name: David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field - first_name: Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton datarep_id: '95' date_created: 2018-12-12T12:31:39Z date_published: 2018-02-12T00:00:00Z date_updated: 2024-02-21T13:45:01Z day: '12' department: - _id: NiBa doi: 10.15479/AT:ISTA:95 file: - access_level: open_access checksum: fc6aab51439f2622ba6df8632e66fd4f content_type: text/csv creator: system date_created: 2018-12-12T13:02:41Z date_updated: 2020-07-14T12:47:07Z file_id: '5606' file_name: IST-2018-95-v1+1_amajus_GPS_2012.csv file_size: 122048 relation: main_file - access_level: open_access checksum: 92347586ae4f8a6eb7c04354797bf314 content_type: text/csv creator: system date_created: 2018-12-12T13:02:42Z date_updated: 2020-07-14T12:47:07Z file_id: '5607' file_name: IST-2018-95-v1+2_offspring_SNPs_2012.csv file_size: 235980 relation: main_file - access_level: open_access checksum: 3300813645a54e6c5c39f41917228354 content_type: text/csv creator: system date_created: 2018-12-12T13:02:43Z date_updated: 2020-07-14T12:47:07Z file_id: '5608' file_name: IST-2018-95-v1+3_parents_SNPs_2012.csv file_size: 311712 relation: main_file - access_level: open_access checksum: e739fc473567fd8f39438b445fc46147 content_type: application/zip creator: system date_created: 2018-12-12T13:02:44Z date_updated: 2020-07-14T12:47:07Z file_id: '5609' file_name: IST-2018-95-v1+4_faps_scripts.zip file_size: 342090 relation: main_file file_date_updated: 2020-07-14T12:47:07Z has_accepted_license: '1' month: '02' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria related_material: record: - id: '286' relation: research_paper status: public status: public title: Data and Python scripts supporting Python package FAPS 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: '5569' abstract: - lang: eng text: "Nela Nikolic, Tobias Bergmiller, Alexandra Vandervelde, Tanino G. Albanese, Lendert Gelens, and Isabella Moll (2018)\r\n“Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations” Nucleic Acids Research, doi: 10.15479/AT:ISTA:74;\r\nmicroscopy experiments by Tobias Bergmiller; image and data analysis by Nela Nikolic." article_processing_charge: No author: - first_name: Tobias full_name: Bergmiller, Tobias id: 2C471CFA-F248-11E8-B48F-1D18A9856A87 last_name: Bergmiller orcid: 0000-0001-5396-4346 - first_name: Nela full_name: Nikolic, Nela id: 42D9CABC-F248-11E8-B48F-1D18A9856A87 last_name: Nikolic orcid: 0000-0001-9068-6090 citation: ama: Bergmiller T, Nikolic N. Time-lapse microscopy data. 2018. doi:10.15479/AT:ISTA:74 apa: Bergmiller, T., & Nikolic, N. (2018). Time-lapse microscopy data. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:74 chicago: Bergmiller, Tobias, and Nela Nikolic. “Time-Lapse Microscopy Data.” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:74. ieee: T. Bergmiller and N. Nikolic, “Time-lapse microscopy data.” Institute of Science and Technology Austria, 2018. ista: Bergmiller T, Nikolic N. 2018. Time-lapse microscopy data, Institute of Science and Technology Austria, 10.15479/AT:ISTA:74. mla: Bergmiller, Tobias, and Nela Nikolic. Time-Lapse Microscopy Data. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:74. short: T. Bergmiller, N. Nikolic, (2018). datarep_id: '74' date_created: 2018-12-12T12:31:35Z date_published: 2018-02-07T00:00:00Z date_updated: 2024-02-21T13:44:45Z day: '07' ddc: - '579' department: - _id: CaGu doi: 10.15479/AT:ISTA:74 file: - access_level: open_access checksum: 61ebb92213cfffeba3ddbaff984b81af content_type: application/zip creator: system date_created: 2018-12-12T13:04:39Z date_updated: 2020-07-14T12:47:04Z file_id: '5637' file_name: IST-2018-74-v1+2_15-11-05.zip file_size: 3558703796 relation: main_file - access_level: open_access checksum: bf26649af310ef6892d68576515cde6d content_type: application/zip creator: system date_created: 2018-12-12T13:04:55Z date_updated: 2020-07-14T12:47:04Z file_id: '5638' file_name: IST-2018-74-v1+3_15-07-31.zip file_size: 1830422606 relation: main_file - access_level: open_access checksum: 8e46eedce06f22acb2be1a9b9d3f56bd content_type: application/zip creator: system date_created: 2018-12-12T13:05:11Z date_updated: 2020-07-14T12:47:04Z file_id: '5639' file_name: IST-2018-74-v1+4_Images_for_analysis.zip file_size: 2140849248 relation: main_file file_date_updated: 2020-07-14T12:47:04Z has_accepted_license: '1' keyword: - microscopy - microfluidics month: '02' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria publist_id: '7385' related_material: record: - id: '438' relation: research_paper status: public status: public title: Time-lapse microscopy data 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: '161' abstract: - lang: eng text: 'Which properties of metabolic networks can be derived solely from stoichiometry? Predictive results have been obtained by flux balance analysis (FBA), by postulating that cells set metabolic fluxes to maximize growth rate. Here we consider a generalization of FBA to single-cell level using maximum entropy modeling, which we extend and test experimentally. Specifically, we define for Escherichia coli metabolism a flux distribution that yields the experimental growth rate: the model, containing FBA as a limit, provides a better match to measured fluxes and it makes a wide range of predictions: on flux variability, regulation, and correlations; on the relative importance of stoichiometry vs. optimization; on scaling relations for growth rate distributions. We validate the latter here with single-cell data at different sub-inhibitory antibiotic concentrations. The model quantifies growth optimization as emerging from the interplay of competitive dynamics in the population and regulation of metabolism at the level of single cells.' article_number: '2988' article_processing_charge: No author: - first_name: Daniele full_name: De Martino, Daniele id: 3FF5848A-F248-11E8-B48F-1D18A9856A87 last_name: De Martino orcid: 0000-0002-5214-4706 - first_name: Andersson Anna full_name: Mc, Andersson Anna last_name: Mc - first_name: Tobias full_name: Bergmiller, Tobias id: 2C471CFA-F248-11E8-B48F-1D18A9856A87 last_name: Bergmiller orcid: 0000-0001-5396-4346 - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 - first_name: Gasper full_name: Tkacik, Gasper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkacik orcid: 0000-0002-6699-1455 citation: ama: De Martino D, Mc AA, Bergmiller T, Guet CC, Tkačik G. Statistical mechanics for metabolic networks during steady state growth. Nature Communications. 2018;9(1). doi:10.1038/s41467-018-05417-9 apa: De Martino, D., Mc, A. A., Bergmiller, T., Guet, C. C., & Tkačik, G. (2018). Statistical mechanics for metabolic networks during steady state growth. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-018-05417-9 chicago: De Martino, Daniele, Andersson Anna Mc, Tobias Bergmiller, Calin C Guet, and Gašper Tkačik. “Statistical Mechanics for Metabolic Networks during Steady State Growth.” Nature Communications. Springer Nature, 2018. https://doi.org/10.1038/s41467-018-05417-9. ieee: D. De Martino, A. A. Mc, T. Bergmiller, C. C. Guet, and G. Tkačik, “Statistical mechanics for metabolic networks during steady state growth,” Nature Communications, vol. 9, no. 1. Springer Nature, 2018. ista: De Martino D, Mc AA, Bergmiller T, Guet CC, Tkačik G. 2018. Statistical mechanics for metabolic networks during steady state growth. Nature Communications. 9(1), 2988. mla: De Martino, Daniele, et al. “Statistical Mechanics for Metabolic Networks during Steady State Growth.” Nature Communications, vol. 9, no. 1, 2988, Springer Nature, 2018, doi:10.1038/s41467-018-05417-9. short: D. De Martino, A.A. Mc, T. Bergmiller, C.C. Guet, G. Tkačik, Nature Communications 9 (2018). date_created: 2018-12-11T11:44:57Z date_published: 2018-07-30T00:00:00Z date_updated: 2024-02-21T13:45:39Z day: '30' ddc: - '570' department: - _id: GaTk - _id: CaGu doi: 10.1038/s41467-018-05417-9 ec_funded: 1 external_id: isi: - '000440149300021' file: - access_level: open_access checksum: 3ba7ab27b27723c7dcf633e8fc1f8f18 content_type: application/pdf creator: dernst date_created: 2018-12-17T16:44:28Z date_updated: 2020-07-14T12:45:06Z file_id: '5728' file_name: 2018_NatureComm_DeMartino.pdf file_size: 1043205 relation: main_file file_date_updated: 2020-07-14T12:45:06Z has_accepted_license: '1' intvolume: ' 9' isi: 1 issue: '1' language: - iso: eng month: '07' oa: 1 oa_version: Published Version project: - _id: 254E9036-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P28844-B27 name: Biophysics of information processing in gene regulation - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme publication: Nature Communications publication_status: published publisher: Springer Nature publist_id: '7760' quality_controlled: '1' related_material: record: - id: '5587' relation: popular_science status: public scopus_import: '1' status: public title: Statistical mechanics for metabolic networks during steady state growth 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: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 9 year: '2018' ... --- _id: '5587' abstract: - lang: eng text: "Supporting material to the article \r\nSTATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH\r\n\r\nboundscoli.dat\r\nFlux Bounds of the E. coli catabolic core model iAF1260 in a glucose limited minimal medium. \r\n\r\npolcoli.dat\r\nMatrix enconding the polytope of the E. coli catabolic core model iAF1260 in a glucose limited minimal medium, \r\nobtained from the soichiometric matrix by standard linear algebra (reduced row echelon form).\r\n\r\nellis.dat\r\nApproximate Lowner-John ellipsoid rounding the polytope of the E. coli catabolic core model iAF1260 in a glucose limited minimal medium\r\nobtained with the Lovasz method.\r\n\r\npoint0.dat\r\nCenter of the approximate Lowner-John ellipsoid rounding the polytope of the E. coli catabolic core model iAF1260 in a glucose limited minimal medium\r\nobtained with the Lovasz method.\r\n\r\nlovasz.cpp \r\nThis c++ code file receives in input the polytope of the feasible steady states of a metabolic network, \r\n(matrix and bounds), and it gives in output an approximate Lowner-John ellipsoid rounding the polytope\r\nwith the Lovasz method \r\nNB inputs are referred by defaults to the catabolic core of the E.Coli network iAF1260. \r\nFor further details we refer to PLoS ONE 10.4 e0122670 (2015).\r\n\r\nsampleHRnew.cpp \r\nThis c++ code file receives in input the polytope of the feasible steady states of a metabolic network, \r\n(matrix and bounds), the ellipsoid rounding the polytope, a point inside and \r\nit gives in output a max entropy sampling at fixed average growth rate \r\nof the steady states by performing an Hit-and-Run Monte Carlo Markov chain.\r\nNB inputs are referred by defaults to the catabolic core of the E.Coli network iAF1260. \r\nFor further details we refer to PLoS ONE 10.4 e0122670 (2015)." article_processing_charge: No author: - first_name: Daniele full_name: De Martino, Daniele id: 3FF5848A-F248-11E8-B48F-1D18A9856A87 last_name: De Martino orcid: 0000-0002-5214-4706 - first_name: Gasper full_name: Tkacik, Gasper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkacik orcid: 0000-0002-6699-1455 citation: ama: De Martino D, Tkačik G. Supporting materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.” 2018. doi:10.15479/AT:ISTA:62 apa: De Martino, D., & Tkačik, G. (2018). Supporting materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:62 chicago: De Martino, Daniele, and Gašper Tkačik. “Supporting Materials ‘STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.’” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:62. ieee: D. De Martino and G. Tkačik, “Supporting materials ‘STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.’” Institute of Science and Technology Austria, 2018. ista: De Martino D, Tkačik G. 2018. Supporting materials ‘STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH’, Institute of Science and Technology Austria, 10.15479/AT:ISTA:62. mla: De Martino, Daniele, and Gašper Tkačik. Supporting Materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.” Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:62. short: D. De Martino, G. Tkačik, (2018). datarep_id: '111' date_created: 2018-12-12T12:31:41Z date_published: 2018-09-21T00:00:00Z date_updated: 2024-02-21T13:45:39Z day: '21' ddc: - '530' department: - _id: GaTk doi: 10.15479/AT:ISTA:62 ec_funded: 1 file: - access_level: open_access checksum: 97992e3e8cf8544ec985a48971708726 content_type: application/zip creator: system date_created: 2018-12-12T13:05:13Z date_updated: 2020-07-14T12:47:08Z file_id: '5641' file_name: IST-2018-111-v1+1_CODES.zip file_size: 14376 relation: main_file file_date_updated: 2020-07-14T12:47:08Z has_accepted_license: '1' keyword: - metabolic networks - e.coli core - maximum entropy - monte carlo markov chain sampling - ellipsoidal rounding month: '09' 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 - _id: 254E9036-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P28844-B27 name: Biophysics of information processing in gene regulation publisher: Institute of Science and Technology Austria related_material: record: - id: '161' relation: research_paper status: public status: public title: Supporting materials "STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH" 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: '542' abstract: - lang: eng text: The t-haplotype, a mouse meiotic driver found on chromosome 17, has been a model for autosomal segregation distortion for close to a century, but several questions remain regarding its biology and evolutionary history. A recently published set of population genomics resources for wild mice includes several individuals heterozygous for the t-haplotype, which we use to characterize this selfish element at the genomic and transcriptomic level. Our results show that large sections of the t-haplotype have been replaced by standard homologous sequences, possibly due to occasional events of recombination, and that this complicates the inference of its history. As expected for a long genomic segment of very low recombination, the t-haplotype carries an excess of fixed nonsynonymous mutations compared to the standard chromosome. This excess is stronger for regions that have not undergone recent recombination, suggesting that occasional gene flow between the t and the standard chromosome may provide a mechanism to regenerate coding sequences that have accumulated deleterious mutations. Finally, we find that t-complex genes with altered expression largely overlap with deleted or amplified regions, and that carrying a t-haplotype alters the testis expression of genes outside of the t-complex, providing new leads into the pathways involved in the biology of this segregation distorter. article_processing_charge: No article_type: original author: - first_name: Réka K full_name: Kelemen, Réka K id: 48D3F8DE-F248-11E8-B48F-1D18A9856A87 last_name: Kelemen orcid: 0000-0002-8489-9281 - first_name: Beatriz full_name: Vicoso, Beatriz id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87 last_name: Vicoso orcid: 0000-0002-4579-8306 citation: ama: Kelemen RK, Vicoso B. Complex history and differentiation patterns of the t-haplotype, a mouse meiotic driver. Genetics. 2018;208(1):365-375. doi:10.1534/genetics.117.300513 apa: Kelemen, R. K., & Vicoso, B. (2018). Complex history and differentiation patterns of the t-haplotype, a mouse meiotic driver. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.117.300513 chicago: Kelemen, Réka K, and Beatriz Vicoso. “Complex History and Differentiation Patterns of the T-Haplotype, a Mouse Meiotic Driver.” Genetics. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.117.300513. ieee: R. K. Kelemen and B. Vicoso, “Complex history and differentiation patterns of the t-haplotype, a mouse meiotic driver,” Genetics, vol. 208, no. 1. Genetics Society of America, pp. 365–375, 2018. ista: Kelemen RK, Vicoso B. 2018. Complex history and differentiation patterns of the t-haplotype, a mouse meiotic driver. Genetics. 208(1), 365–375. mla: Kelemen, Réka K., and Beatriz Vicoso. “Complex History and Differentiation Patterns of the T-Haplotype, a Mouse Meiotic Driver.” Genetics, vol. 208, no. 1, Genetics Society of America, 2018, pp. 365–75, doi:10.1534/genetics.117.300513. short: R.K. Kelemen, B. Vicoso, Genetics 208 (2018) 365–375. date_created: 2018-12-11T11:47:04Z date_published: 2018-01-01T00:00:00Z date_updated: 2024-02-21T13:48:27Z day: '01' ddc: - '576' department: - _id: BeVi doi: 10.1534/genetics.117.300513 ec_funded: 1 external_id: isi: - '000419356300024' file: - access_level: open_access checksum: 2123845e7031a0cf043905be160f9e69 content_type: application/pdf creator: system date_created: 2018-12-12T10:15:14Z date_updated: 2020-07-14T12:46:50Z file_id: '5132' file_name: IST-2018-1058-v1+1_365.full__1_.pdf file_size: 1311661 relation: main_file file_date_updated: 2020-07-14T12:46:50Z has_accepted_license: '1' intvolume: ' 208' isi: 1 issue: '1' language: - iso: eng month: '01' oa: 1 oa_version: Published Version page: 365 - 375 project: - _id: 250BDE62-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '715257' name: Prevalence and Influence of Sexual Antagonism on Genome Evolution publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '7274' pubrep_id: '1058' quality_controlled: '1' related_material: record: - id: '5571' relation: popular_science status: public - id: '5572' relation: popular_science status: public scopus_import: '1' status: public title: Complex history and differentiation patterns of the t-haplotype, a mouse meiotic driver 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: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 208 year: '2018' ... --- _id: '5751' abstract: - lang: eng text: 'Because of the intrinsic randomness of the evolutionary process, a mutant with a fitness advantage has some chance to be selected but no certainty. Any experiment that searches for advantageous mutants will lose many of them due to random drift. It is therefore of great interest to find population structures that improve the odds of advantageous mutants. Such structures are called amplifiers of natural selection: they increase the probability that advantageous mutants are selected. Arbitrarily strong amplifiers guarantee the selection of advantageous mutants, even for very small fitness advantage. Despite intensive research over the past decade, arbitrarily strong amplifiers have remained rare. Here we show how to construct a large variety of them. Our amplifiers are so simple that they could be useful in biotechnology, when optimizing biological molecules, or as a diagnostic tool, when searching for faster dividing cells or viruses. They could also occur in natural population structures.' article_number: '71' article_processing_charge: No author: - first_name: Andreas full_name: Pavlogiannis, Andreas id: 49704004-F248-11E8-B48F-1D18A9856A87 last_name: Pavlogiannis orcid: 0000-0002-8943-0722 - first_name: Josef full_name: Tkadlec, Josef id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87 last_name: Tkadlec orcid: 0000-0002-1097-9684 - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Martin A. full_name: Nowak, Martin A. last_name: Nowak citation: ama: Pavlogiannis A, Tkadlec J, Chatterjee K, Nowak MA. Construction of arbitrarily strong amplifiers of natural selection using evolutionary graph theory. Communications Biology. 2018;1(1). doi:10.1038/s42003-018-0078-7 apa: Pavlogiannis, A., Tkadlec, J., Chatterjee, K., & Nowak, M. A. (2018). Construction of arbitrarily strong amplifiers of natural selection using evolutionary graph theory. Communications Biology. Springer Nature. https://doi.org/10.1038/s42003-018-0078-7 chicago: Pavlogiannis, Andreas, Josef Tkadlec, Krishnendu Chatterjee, and Martin A. Nowak. “Construction of Arbitrarily Strong Amplifiers of Natural Selection Using Evolutionary Graph Theory.” Communications Biology. Springer Nature, 2018. https://doi.org/10.1038/s42003-018-0078-7. ieee: A. Pavlogiannis, J. Tkadlec, K. Chatterjee, and M. A. Nowak, “Construction of arbitrarily strong amplifiers of natural selection using evolutionary graph theory,” Communications Biology, vol. 1, no. 1. Springer Nature, 2018. ista: Pavlogiannis A, Tkadlec J, Chatterjee K, Nowak MA. 2018. Construction of arbitrarily strong amplifiers of natural selection using evolutionary graph theory. Communications Biology. 1(1), 71. mla: Pavlogiannis, Andreas, et al. “Construction of Arbitrarily Strong Amplifiers of Natural Selection Using Evolutionary Graph Theory.” Communications Biology, vol. 1, no. 1, 71, Springer Nature, 2018, doi:10.1038/s42003-018-0078-7. short: A. Pavlogiannis, J. Tkadlec, K. Chatterjee, M.A. Nowak, Communications Biology 1 (2018). date_created: 2018-12-18T13:22:58Z date_published: 2018-06-14T00:00:00Z date_updated: 2024-02-21T13:48:42Z day: '14' ddc: - '004' - '519' - '576' department: - _id: KrCh doi: 10.1038/s42003-018-0078-7 ec_funded: 1 external_id: isi: - '000461126500071' file: - access_level: open_access checksum: a9db825fa3b64a51ff3de035ec973b3e content_type: application/pdf creator: dernst date_created: 2018-12-18T13:37:04Z date_updated: 2020-07-14T12:47:10Z file_id: '5752' file_name: 2018_CommBiology_Pavlogiannis.pdf file_size: 1804194 relation: main_file file_date_updated: 2020-07-14T12:47:10Z has_accepted_license: '1' intvolume: ' 1' isi: 1 issue: '1' language: - iso: eng month: '06' oa: 1 oa_version: Published Version project: - _id: 2581B60A-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '279307' name: 'Quantitative Graph Games: Theory and Applications' - _id: 2584A770-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P 23499-N23 name: Modern Graph Algorithmic Techniques in Formal Verification - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering publication: Communications Biology publication_identifier: issn: - 2399-3642 publication_status: published publisher: Springer Nature pubrep_id: '1045' quality_controlled: '1' related_material: record: - id: '7196' relation: part_of_dissertation status: public - id: '5559' relation: popular_science status: public scopus_import: '1' status: public title: Construction of arbitrarily strong amplifiers of natural selection using evolutionary graph theory 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: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 1 year: '2018' ...