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Metabolic resilience is encoded in genome plasticity

View ORCID ProfileLeandro Z. Agudelo, View ORCID ProfileRemy Tuyeras, Claudia Llinares, Alvaro Morcuende, Yongjin Park, Na Sun, View ORCID ProfileSuvi Linna-Kuosmanen, Naeimeh Atabaki-Pasdar, Li-Lun Ho, Kyriakitsa Galani, Paul W. Franks, Burak Kutlu, Kevin Grove, Teresa Femenia, Manolis Kellis
doi: https://doi.org/10.1101/2021.06.25.449953
Leandro Z. Agudelo
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge MA, USA
2Broad Institute of MIT and Harvard, Cambridge MA, USA
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  • ORCID record for Leandro Z. Agudelo
  • For correspondence: agudelo@mit.edu rtuyeras@mit.edu tfemenia@umh.es manoli@mit.edu
Remy Tuyeras
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge MA, USA
2Broad Institute of MIT and Harvard, Cambridge MA, USA
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  • For correspondence: agudelo@mit.edu rtuyeras@mit.edu tfemenia@umh.es manoli@mit.edu
Claudia Llinares
4Instituto de Neurociencias, Universidad Miguel Hernández-CSIC, Alicante, Spain
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Alvaro Morcuende
4Instituto de Neurociencias, Universidad Miguel Hernández-CSIC, Alicante, Spain
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Yongjin Park
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge MA, USA
2Broad Institute of MIT and Harvard, Cambridge MA, USA
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Na Sun
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge MA, USA
2Broad Institute of MIT and Harvard, Cambridge MA, USA
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Suvi Linna-Kuosmanen
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge MA, USA
2Broad Institute of MIT and Harvard, Cambridge MA, USA
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  • ORCID record for Suvi Linna-Kuosmanen
Naeimeh Atabaki-Pasdar
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge MA, USA
6Department of Clinical Sciences, Lund University, Lund, Sweden
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Li-Lun Ho
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge MA, USA
2Broad Institute of MIT and Harvard, Cambridge MA, USA
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Kyriakitsa Galani
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge MA, USA
2Broad Institute of MIT and Harvard, Cambridge MA, USA
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Paul W. Franks
6Department of Clinical Sciences, Lund University, Lund, Sweden
7Department of Nutrition, Harvard School of Public Health, Boston MA, USA
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Burak Kutlu
5Novo Nordisk Research Center Seattle, Washington, USA
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Kevin Grove
5Novo Nordisk Research Center Seattle, Washington, USA
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Teresa Femenia
3Department of Neuroscience, Karolinska Institutet, Biomedicum, Stockholm, Sweden
4Instituto de Neurociencias, Universidad Miguel Hernández-CSIC, Alicante, Spain
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  • For correspondence: agudelo@mit.edu rtuyeras@mit.edu tfemenia@umh.es manoli@mit.edu
Manolis Kellis
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge MA, USA
2Broad Institute of MIT and Harvard, Cambridge MA, USA
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  • For correspondence: agudelo@mit.edu rtuyeras@mit.edu tfemenia@umh.es manoli@mit.edu
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Abstract

Metabolism plays a central role in evolution, as resource conservation is a selective pressure for fitness and survival. Resource-driven adaptations offer a good model to study evolutionary innovation more broadly. It remains unknown how resource-driven optimization of genome function integrates chromatin architecture with transcriptional phase transitions. Here we show that tuning of genome architecture and heterotypic transcriptional condensates mediate resilience to nutrient limitation. Network genomic integration of phenotypic, structural, and functional relationships reveals that fat tissue promotes organismal adaptations through metabolic acceleration chromatin domains and heterotypic PGC1A condensates. We find evolutionary adaptations in several dimensions; low conservation of amino acid residues within protein disorder regions, nonrandom chromatin location of metabolic acceleration domains, condensate-chromatin stability through cis-regulatory anchoring and encoding of genome plasticity in radial chromatin organization. We show that environmental tuning of these adaptations leads to fasting endurance, through efficient nuclear compartmentalization of lipid metabolic regions, and, locally, human-specific burst kinetics of lipid cycling genes. This process reduces oxidative stress, and fatty-acid mediated cellular acidification, enabling endurance of condensate chromatin conformations. Comparative genomics of genetic and diet perturbations reveal mammalian convergence of phenotype and structural relationships, along with loss of transcriptional control by diet-induced obesity. Further, we find that radial transcriptional organization is encoded in functional divergence of metabolic disease variant-hubs, heterotypic condensate composition, and protein residues sensing metabolic variation. During fuel restriction, these features license the formation of large heterotypic condensates that buffer proton excess, and shift viscoelasticity for condensate endurance. This mechanism maintains physiological pH, reduces pH-resilient inflammatory gene programs, and enables genome plasticity through transcriptionally driven cell-specific chromatin contacts. In vivo manipulation of this circuit promotes fasting-like adaptations with heterotypic nuclear compartments, metabolic and cell-specific homeostasis. In sum, we uncover here a general principle by which transcription uses environmental fluctuations for genome function, and demonstrate how resource conservation optimizes transcriptional self-organization through robust feedback integrators, highlighting obesity as an inhibitor of genome plasticity relevant for many diseases.

Competing Interest Statement

PWF has received consulting honoraria from Eli Lilly and Novo Nordisk A/S. He has also received research grants from multiple pharmaceutical companies and is a consultant and stock owner in Zoe Global Ltd. He is currently the Scientific Director in Patient Care at the Novo Nordisk Foundation. Other authors declare non competing interests.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted July 13, 2021.
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Metabolic resilience is encoded in genome plasticity
Leandro Z. Agudelo, Remy Tuyeras, Claudia Llinares, Alvaro Morcuende, Yongjin Park, Na Sun, Suvi Linna-Kuosmanen, Naeimeh Atabaki-Pasdar, Li-Lun Ho, Kyriakitsa Galani, Paul W. Franks, Burak Kutlu, Kevin Grove, Teresa Femenia, Manolis Kellis
bioRxiv 2021.06.25.449953; doi: https://doi.org/10.1101/2021.06.25.449953
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Metabolic resilience is encoded in genome plasticity
Leandro Z. Agudelo, Remy Tuyeras, Claudia Llinares, Alvaro Morcuende, Yongjin Park, Na Sun, Suvi Linna-Kuosmanen, Naeimeh Atabaki-Pasdar, Li-Lun Ho, Kyriakitsa Galani, Paul W. Franks, Burak Kutlu, Kevin Grove, Teresa Femenia, Manolis Kellis
bioRxiv 2021.06.25.449953; doi: https://doi.org/10.1101/2021.06.25.449953

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