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1. Identification of constrained sequence elements across 239 primate genomes

Author

Kuderna, Lukas F. K., Ulirsch, Jacob C., Rashid, Sabrina, Ameen, Mohamed, Sundaram, Laksshman, Hickey, Glenn, Cox, Anthony J., Gao, Hong, Kumar, Arvind, Aguet, Francois, Christmas, Matthew J., Clawson, Hiram, Haeussler, Maximilian, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Bataillon, Thomas, Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rouselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, de Vries, Dorien, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idriss S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, Schraiber, Joshua G., de Melo, Fabiano R., Bertuol, Fabrício, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, Valsecchi, João, Messias, Malu, da Silva, Maria N. F., Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clément J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dongdong, Zhou, Long, Shao, Yong, Zhang, Guojie, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda D., Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M. D., Karakikes, Ioannis, Wang, Kevin C., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Siepel, Adam, Kundaje, Anshul, Paten, Benedict, Lindblad-Toh, Kerstin, Rogers, Jeffrey, Marques Bonet, Tomas, and Farh, Kyle Kai-How

Published
2024
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3. Identification of constrained sequence elements across 239 primate genomes

Author

Natural Environment Research Council (UK), UK Research and Innovation, National Human Genome Research Institute (US), Fundación la Caixa, Vienna Science and Technology Fund, European Commission, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Fonds de la Recherche Scientifique (Fédération Wallonie-Bruxelles), Fundação de Amparo à Pesquisa do Estado do Amazonas, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brasil), German Research Foundation, Ministry of Science and Technology of Vietnam, Agencia Estatal de Investigación (España), Generalitat de Catalunya, Natural Sciences and Engineering Research Council of Canada, Canada Research Chairs, Wenner-Gren Foundation, Leakey Foundation, National Science Foundation (US), National Geographic Society, National Institute on Aging (US), Swedish Research Council, National Research Foundation Singapore, European Research Council, Ministerio de Ciencia e Innovación (España), Ministerio de Ciencia, Innovación y Universidades (España), Kuderna, Lukas F. K. [0000-0002-9992-9295], Kuhlwilm, Martin [0000-0002-0115-1797], Valenzuela, Alejandro [0000-0001-6120-6246], Juan, David [0000-0003-1912-9667], Lizano, Esther [0000-0003-3304-9807], Navarro, Arcadi [0000-0003-2162-8246], Marqués-Bonet, Tomàs [0000-0002-5597-3075], Kuderna, Lukas F. K., Ulirsch, Jacob C., Rashid, Sabrina, Ameen, Mohamed, Sundaram, Laksshman, Hickey, Glenn, Cox, Anthony J., Gao, Hong, Kumar, Arvind, Aguet, Francois, Christmas, Matthew J., Clawson, Hiram, Haeussler, Maximilian, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Bataillon, Thomas, Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rousselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, Vries, Dorien de, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idriss S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, Schraiber, Joshua G., Melo, Fabiano R. de, Bertuol, Fabrício, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, Valsecchi, João, Messias, Malu, Silva, Maria N. F. da, Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clément J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dongdong, Zhou, Long, Shao, Yong, Zhang, Guojie, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda D., Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M. D., Karakikes, Ioannis, Wang, Kevin C., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Siepel, Adam, Kundaje, Anshul, Paten, Benedict, Lindblad-Toh, Kerstin, Rogers, Jeffrey, Marqués-Bonet, Tomàs, Farh, Kyle Kai-How, Natural Environment Research Council (UK), UK Research and Innovation, National Human Genome Research Institute (US), Fundación la Caixa, Vienna Science and Technology Fund, European Commission, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Fonds de la Recherche Scientifique (Fédération Wallonie-Bruxelles), Fundação de Amparo à Pesquisa do Estado do Amazonas, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brasil), German Research Foundation, Ministry of Science and Technology of Vietnam, Agencia Estatal de Investigación (España), Generalitat de Catalunya, Natural Sciences and Engineering Research Council of Canada, Canada Research Chairs, Wenner-Gren Foundation, Leakey Foundation, National Science Foundation (US), National Geographic Society, National Institute on Aging (US), Swedish Research Council, National Research Foundation Singapore, European Research Council, Ministerio de Ciencia e Innovación (España), Ministerio de Ciencia, Innovación y Universidades (España), Kuderna, Lukas F. K. [0000-0002-9992-9295], Kuhlwilm, Martin [0000-0002-0115-1797], Valenzuela, Alejandro [0000-0001-6120-6246], Juan, David [0000-0003-1912-9667], Lizano, Esther [0000-0003-3304-9807], Navarro, Arcadi [0000-0003-2162-8246], Marqués-Bonet, Tomàs [0000-0002-5597-3075], Kuderna, Lukas F. K., Ulirsch, Jacob C., Rashid, Sabrina, Ameen, Mohamed, Sundaram, Laksshman, Hickey, Glenn, Cox, Anthony J., Gao, Hong, Kumar, Arvind, Aguet, Francois, Christmas, Matthew J., Clawson, Hiram, Haeussler, Maximilian, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Bataillon, Thomas, Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rousselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, Vries, Dorien de, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idriss S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, Schraiber, Joshua G., Melo, Fabiano R. de, Bertuol, Fabrício, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, Valsecchi, João, Messias, Malu, Silva, Maria N. F. da, Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clément J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dongdong, Zhou, Long, Shao, Yong, Zhang, Guojie, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda D., Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M. D., Karakikes, Ioannis, Wang, Kevin C., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Siepel, Adam, Kundaje, Anshul, Paten, Benedict, Lindblad-Toh, Kerstin, Rogers, Jeffrey, Marqués-Bonet, Tomàs, and Farh, Kyle Kai-How

Abstract

Noncoding DNA is central to our understanding of human gene regulation and complex diseases1,2, and measuring the evolutionary sequence constraint can establish the functional relevance of putative regulatory elements in the human genome3,4,5,6,7,8,9. Identifying the genomic elements that have become constrained specifically in primates has been hampered by the faster evolution of noncoding DNA compared to protein-coding DNA10, the relatively short timescales separating primate species11, and the previously limited availability of whole-genome sequences12. Here we construct a whole-genome alignment of 239 species, representing nearly half of all extant species in the primate order. Using this resource, we identified human regulatory elements that are under selective constraint across primates and other mammals at a 5% false discovery rate. We detected 111,318 DNase I hypersensitivity sites and 267,410 transcription factor binding sites that are constrained specifically in primates but not across other placental mammals and validate their cis-regulatory effects on gene expression. These regulatory elements are enriched for human genetic variants that affect gene expression and complex traits and diseases. Our results highlight the important role of recent evolution in regulatory sequence elements differentiating primates, including humans, from other placental mammals.

Published
2024

4. Identification of constrained sequence elements across 239 primate genomes

Author

Kuderna, Lukas F.K., Ulirsch, Jacob C., Rashid, Sabrina, Ameen, Mohamed, Sundaram, Laksshman, Hickey, Glenn, Cox, Anthony J., Gao, Hong, Kumar, Arvind, Aguet, Francois, Christmas, Matthew J., Clawson, Hiram, Haeussler, Maximilian, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Bataillon, Thomas, Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rouselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, de Vries, Dorien, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idriss S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, Schraiber, Joshua G., de Melo, Fabiano R., Bertuol, Fabrício, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, Valsecchi, João, Messias, Malu, da Silva, Maria N.F., Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clément J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dongdong, Zhou, Long, Shao, Yong, Zhang, Guojie, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda D., Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M.D., Karakikes, Ioannis, Wang, Kevin C., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Siepel, Adam, Kundaje, Anshul, Paten, Benedict, Lindblad-Toh, Kerstin, Rogers, Jeffrey, Marques Bonet, Tomas, Farh, Kyle Kai How, Kuderna, Lukas F.K., Ulirsch, Jacob C., Rashid, Sabrina, Ameen, Mohamed, Sundaram, Laksshman, Hickey, Glenn, Cox, Anthony J., Gao, Hong, Kumar, Arvind, Aguet, Francois, Christmas, Matthew J., Clawson, Hiram, Haeussler, Maximilian, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Bataillon, Thomas, Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rouselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, de Vries, Dorien, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idriss S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, Schraiber, Joshua G., de Melo, Fabiano R., Bertuol, Fabrício, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, Valsecchi, João, Messias, Malu, da Silva, Maria N.F., Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clément J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dongdong, Zhou, Long, Shao, Yong, Zhang, Guojie, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda D., Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M.D., Karakikes, Ioannis, Wang, Kevin C., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Siepel, Adam, Kundaje, Anshul, Paten, Benedict, Lindblad-Toh, Kerstin, Rogers, Jeffrey, Marques Bonet, Tomas, and Farh, Kyle Kai How

Abstract

Noncoding DNA is central to our understanding of human gene regulation and complex diseases1,2, and measuring the evolutionary sequence constraint can establish the functional relevance of putative regulatory elements in the human genome3,4,5,6,7,8,9. Identifying the genomic elements that have become constrained specifically in primates has been hampered by the faster evolution of noncoding DNA compared to protein-coding DNA10, the relatively short timescales separating primate species11, and the previously limited availability of whole-genome sequences12. Here we construct a whole-genome alignment of 239 species, representing nearly half of all extant species in the primate order. Using this resource, we identified human regulatory elements that are under selective constraint across primates and other mammals at a 5% false discovery rate. We detected 111,318 DNase I hypersensitivity sites and 267,410 transcription factor binding sites that are constrained specifically in primates but not across other placental mammals and validate their cis-regulatory effects on gene expression. These regulatory elements are enriched for human genetic variants that affect gene expression and complex traits and diseases. Our results highlight the important role of recent evolution in regulatory sequence elements differentiating primates, including humans, from other placental mammals., Noncoding DNA is central to our understanding of human gene regulation and complex diseases1,2, and measuring the evolutionary sequence constraint can establish the functional relevance of putative regulatory elements in the human genome3–9. Identifying the genomic elements that have become constrained specifically in primates has been hampered by the faster evolution of noncoding DNA compared to protein-coding DNA10, the relatively short timescales separating primate species11, and the previously limited availability of whole-genome sequences12. Here we construct a whole-genome alignment of 239 species, representing nearly half of all extant species in the primate order. Using this resource, we identified human regulatory elements that are under selective constraint across primates and other mammals at a 5% false discovery rate. We detected 111,318 DNase I hypersensitivity sites and 267,410 transcription factor binding sites that are constrained specifically in primates but not across other placental mammals and validate their cis-regulatory effects on gene expression. These regulatory elements are enriched for human genetic variants that affect gene expression and complex traits and diseases. Our results highlight the important role of recent evolution in regulatory sequence elements differentiating primates, including humans, from other placental mammals.

Published
2024

5. Epistasis and the structure of fitness landscapes: are experimental fitness landscapes compatible with Fisher's Geometric model?

Author

Blanquart, François and Bataillon, Thomas

Subjects
Quantitative Biology - Populations and Evolution
Abstract

The fitness landscape defines the relationship between genotypes and fitness in a given environment, and underlies fundamental quantities such as the distribution of selection coefficient, or the magnitude and type of epistasis. A better understanding of variation of landscape structure across species and environments is thus necessary to understand and predict how populations will adapt. An increasing number of experiments investigates the properties of fitness landscapes by identifying mutations, constructing genotypes with combinations of these mutations, and measuring the fitness of these genotypes. Yet these empirical landscapes represent a very small sample of the vast space of all possible genotypes, and this sample is often biased by the protocol used to identify mutations. Here we develop a rigorous statistical framework based on Approximate Bayesian Computation to address these concerns, and use this flexible framework to fit a broad class of phenotypic fitness models (including Fisher's model) to 26 empirical landscapes representing 9 diverse biological systems. In spite of uncertainty due to the small size of most published empirical landscapes, the inferred landscapes have similar structure in similar biological systems. Surprisingly, goodness of fit tests reveal that this class of phenotypic models, which has been successful so far in interpreting experimental data, is a plausible model in only 3 out of 9 biological systems. More precisely, although Fisher's model was able to explain several statistical properties of the landscapes - including mean and standard deviation of selection and epistasis coefficients -, it was often unable to explain the full structure of fitness landscapes., Comment: Added an alternative ABC algorithm based on a set of summary statistics

Published
2015

7. Properties of selected mutations and genotypic landscapes under Fisher's Geometric Model

Author

Blanquart, François, Achaz, Guillaume, Bataillon, Thomas, and Tenaillon, Olivier

Subjects
Quantitative Biology - Populations and Evolution
Abstract

The fitness landscape - the mapping between genotypes and fitness - determines properties of the process of adaptation. Several small genetic fitness landscapes have recently been built by selecting a handful of beneficial mutations and measuring fitness of all combinations of these mutations. Here we generate several testable predictions for the properties of these landscapes under Fisher's geometric model of adaptation (FGMA). When far from the fitness optimum, we analytically compute the fitness effect of beneficial mutations and their epistatic interactions. We show that epistasis may be negative or positive on average depending on the distance of the ancestral genotype to the optimum and whether mutations were independently selected or co-selected in an adaptive walk. Using simulations, we show that genetic landscapes built from FGMA are very close to an additive landscape when the ancestral strain is far from the optimum. However, when close to the optimum, a large diversity of landscape with substantial ruggedness and sign epistasis emerged. Strikingly, landscapes built from different realizations of stochastic adaptive walks in the same exact conditions were highly variable, suggesting that several realizations of small genetic landscapes are needed to gain information about the underlying architecture of the global adaptive landscape., Comment: 51 pages, 8 figures

Published
2014

9. Inference of Purifying and Positive Selection in Three Subspecies of Chimpanzees (Pan troglodytes) from Exome Sequencing

Author

Bataillon, Thomas, Duan, Jinjie, Hvilsom, Christina, Jin, Xin, Li, Yingrui, Skov, Laurits, Glemin, Sylvain, Munch, Kasper, Jiang, Tao, Qian, Yu, Hobolth, Asger, Wang, Jun, Mailund, Thomas, Siegismund, Hans R, and Schierup, Mikkel H

Subjects
Genetics, Human Genome, Underpinning research, 1.1 Normal biological development and functioning, Animals, Demography, Exome, Exons, Genetic Fitness, Genomics, Humans, INDEL Mutation, Pan troglodytes, Polymorphism, Single Nucleotide, Selection, Genetic, Sequence Analysis, DNA, effective size, fitness effect, mutation, selection, Biochemistry and Cell Biology, Evolutionary Biology, Developmental Biology
Abstract

We study genome-wide nucleotide diversity in three subspecies of extant chimpanzees using exome capture. After strict filtering, Single Nucleotide Polymorphisms and indels were called and genotyped for greater than 50% of exons at a mean coverage of 35× per individual. Central chimpanzees (Pan troglodytes troglodytes) are the most polymorphic (nucleotide diversity, θw = 0.0023 per site) followed by Eastern (P. t. schweinfurthii) chimpanzees (θw = 0.0016) and Western (P. t. verus) chimpanzees (θw = 0.0008). A demographic scenario of divergence without gene flow fits the patterns of autosomal synonymous nucleotide diversity well except for a signal of recent gene flow from Western into Eastern chimpanzees. The striking contrast in X-linked versus autosomal polymorphism and divergence previously reported in Central chimpanzees is also found in Eastern and Western chimpanzees. We show that the direction of selection statistic exhibits a strong nonmonotonic relationship with the strength of purifying selection S, making it inappropriate for estimating S. We instead use counts in synonymous versus nonsynonymous frequency classes to infer the distribution of S coefficients acting on nonsynonymous mutations in each subspecies. The strength of purifying selection we infer is congruent with the differences in effective sizes of each subspecies: Central chimpanzees are undergoing the strongest purifying selection followed by Eastern and Western chimpanzees. Coding indels show stronger selection against indels changing the reading frame than observed in human populations.

Published
2015

10. fastDFE: Fast and Flexible Inference of the Distribution of Fitness Effects.

Author

Sendrowski, Janek and Bataillon, Thomas

Subjects
PYTHON programming language, INTEGRATED software, STATISTICAL hypothesis testing
Abstract

Estimating the distribution of fitness effects (DFE) of new mutations is of fundamental importance in evolutionary biology, ecology, and conservation. However, existing methods for DFE estimation suffer from limitations, such as slow computation speed and limited scalability. To address these issues, we introduce fastDFE, a Python-based software package, offering fast, and flexible DFE inference from site-frequency spectrum (SFS) data. Apart from providing efficient joint inference of multiple DFEs that share parameters, it offers the feature of introducing genomic covariates that influence the DFEs and testing their significance. To further simplify usage, fastDFE is equipped with comprehensive VCF-to-SFS parsing utilities. These include options for site filtering and stratification, as well as site-degeneracy annotation and probabilistic ancestral-allele inference. fastDFE thereby covers the entire workflow of DFE inference from the moment of acquiring a raw VCF file. Despite its Python foundation, fastDFE incorporates a full R interface, including native R visualization capabilities. The package is comprehensively tested and documented at fastdfe.readthedocs.io. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Identification of constrained sequence elements across 239 primate genomes

Author

Kuderna, Lukas F. K., primary, Ulirsch, Jacob C., additional, Rashid, Sabrina, additional, Ameen, Mohamed, additional, Sundaram, Laksshman, additional, Hickey, Glenn, additional, Cox, Anthony J., additional, Gao, Hong, additional, Kumar, Arvind, additional, Aguet, Francois, additional, Christmas, Matthew J., additional, Clawson, Hiram, additional, Haeussler, Maximilian, additional, Janiak, Mareike C., additional, Kuhlwilm, Martin, additional, Orkin, Joseph D., additional, Bataillon, Thomas, additional, Manu, Shivakumara, additional, Valenzuela, Alejandro, additional, Bergman, Juraj, additional, Rouselle, Marjolaine, additional, Silva, Felipe Ennes, additional, Agueda, Lidia, additional, Blanc, Julie, additional, Gut, Marta, additional, de Vries, Dorien, additional, Goodhead, Ian, additional, Harris, R. Alan, additional, Raveendran, Muthuswamy, additional, Jensen, Axel, additional, Chuma, Idriss S., additional, Horvath, Julie E., additional, Hvilsom, Christina, additional, Juan, David, additional, Frandsen, Peter, additional, Schraiber, Joshua G., additional, de Melo, Fabiano R., additional, Bertuol, Fabrício, additional, Byrne, Hazel, additional, Sampaio, Iracilda, additional, Farias, Izeni, additional, Valsecchi, João, additional, Messias, Malu, additional, da Silva, Maria N. F., additional, Trivedi, Mihir, additional, Rossi, Rogerio, additional, Hrbek, Tomas, additional, Andriaholinirina, Nicole, additional, Rabarivola, Clément J., additional, Zaramody, Alphonse, additional, Jolly, Clifford J., additional, Phillips-Conroy, Jane, additional, Wilkerson, Gregory, additional, Abee, Christian, additional, Simmons, Joe H., additional, Fernandez-Duque, Eduardo, additional, Kanthaswamy, Sree, additional, Shiferaw, Fekadu, additional, Wu, Dongdong, additional, Zhou, Long, additional, Shao, Yong, additional, Zhang, Guojie, additional, Keyyu, Julius D., additional, Knauf, Sascha, additional, Le, Minh D., additional, Lizano, Esther, additional, Merker, Stefan, additional, Navarro, Arcadi, additional, Nadler, Tilo, additional, Khor, Chiea Chuen, additional, Lee, Jessica, additional, Tan, Patrick, additional, Lim, Weng Khong, additional, Kitchener, Andrew C., additional, Zinner, Dietmar, additional, Gut, Ivo, additional, Melin, Amanda D., additional, Guschanski, Katerina, additional, Schierup, Mikkel Heide, additional, Beck, Robin M. D., additional, Karakikes, Ioannis, additional, Wang, Kevin C., additional, Umapathy, Govindhaswamy, additional, Roos, Christian, additional, Boubli, Jean P., additional, Siepel, Adam, additional, Kundaje, Anshul, additional, Paten, Benedict, additional, Lindblad-Toh, Kerstin, additional, Rogers, Jeffrey, additional, Marques Bonet, Tomas, additional, and Farh, Kyle Kai-How, additional

Published
2023
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15. A global catalog of whole-genome diversity from 233 primate species

Author

Kuderna, Lukas F. K., primary, Gao, Hong, additional, Janiak, Mareike C., additional, Kuhlwilm, Martin, additional, Orkin, Joseph D., additional, Bataillon, Thomas, additional, Manu, Shivakumara, additional, Valenzuela, Alejandro, additional, Bergman, Juraj, additional, Rousselle, Marjolaine, additional, Silva, Felipe Ennes, additional, Agueda, Lidia, additional, Blanc, Julie, additional, Gut, Marta, additional, de Vries, Dorien, additional, Goodhead, Ian, additional, Harris, R. Alan, additional, Raveendran, Muthuswamy, additional, Jensen, Axel, additional, Chuma, Idrissa S., additional, Horvath, Julie E., additional, Hvilsom, Christina, additional, Juan, David, additional, Frandsen, Peter, additional, Schraiber, Joshua G., additional, de Melo, Fabiano R., additional, Bertuol, Fabrício, additional, Byrne, Hazel, additional, Sampaio, Iracilda, additional, Farias, Izeni, additional, Valsecchi, João, additional, Messias, Malu, additional, da Silva, Maria N. F., additional, Trivedi, Mihir, additional, Rossi, Rogerio, additional, Hrbek, Tomas, additional, Andriaholinirina, Nicole, additional, Rabarivola, Clément J., additional, Zaramody, Alphonse, additional, Jolly, Clifford J., additional, Phillips-Conroy, Jane, additional, Wilkerson, Gregory, additional, Abee, Christian, additional, Simmons, Joe H., additional, Fernandez-Duque, Eduardo, additional, Kanthaswamy, Sree, additional, Shiferaw, Fekadu, additional, Wu, Dongdong, additional, Zhou, Long, additional, Shao, Yong, additional, Zhang, Guojie, additional, Keyyu, Julius D., additional, Knauf, Sascha, additional, Le, Minh D., additional, Lizano, Esther, additional, Merker, Stefan, additional, Navarro, Arcadi, additional, Nadler, Tilo, additional, Khor, Chiea Chuen, additional, Lee, Jessica, additional, Tan, Patrick, additional, Lim, Weng Khong, additional, Kitchener, Andrew C., additional, Zinner, Dietmar, additional, Gut, Ivo, additional, Melin, Amanda D., additional, Guschanski, Katerina, additional, Schierup, Mikkel Heide, additional, Beck, Robin M. D., additional, Umapathy, Govindhaswamy, additional, Roos, Christian, additional, Boubli, Jean P., additional, Rogers, Jeffrey, additional, Farh, Kyle Kai-How, additional, and Marques Bonet, Tomas, additional

Published
2023
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16. The landscape of tolerated genetic variation in humans and primates

Author

Gao, Hong, primary, Hamp, Tobias, additional, Ede, Jeffrey, additional, Schraiber, Joshua G., additional, McRae, Jeremy, additional, Singer-Berk, Moriel, additional, Yang, Yanshen, additional, Dietrich, Anastasia S. D., additional, Fiziev, Petko P., additional, Kuderna, Lukas F. K., additional, Sundaram, Laksshman, additional, Wu, Yibing, additional, Adhikari, Aashish, additional, Field, Yair, additional, Chen, Chen, additional, Batzoglou, Serafim, additional, Aguet, Francois, additional, Lemire, Gabrielle, additional, Reimers, Rebecca, additional, Balick, Daniel, additional, Janiak, Mareike C., additional, Kuhlwilm, Martin, additional, Orkin, Joseph D., additional, Manu, Shivakumara, additional, Valenzuela, Alejandro, additional, Bergman, Juraj, additional, Rousselle, Marjolaine, additional, Silva, Felipe Ennes, additional, Agueda, Lidia, additional, Blanc, Julie, additional, Gut, Marta, additional, de Vries, Dorien, additional, Goodhead, Ian, additional, Harris, R. Alan, additional, Raveendran, Muthuswamy, additional, Jensen, Axel, additional, Chuma, Idriss S., additional, Horvath, Julie E., additional, Hvilsom, Christina, additional, Juan, David, additional, Frandsen, Peter, additional, de Melo, Fabiano R., additional, Bertuol, Fabrício, additional, Byrne, Hazel, additional, Sampaio, Iracilda, additional, Farias, Izeni, additional, do Amaral, João Valsecchi, additional, Messias, Mariluce, additional, da Silva, Maria N. F., additional, Trivedi, Mihir, additional, Rossi, Rogerio, additional, Hrbek, Tomas, additional, Andriaholinirina, Nicole, additional, Rabarivola, Clément J., additional, Zaramody, Alphonse, additional, Jolly, Clifford J., additional, Phillips-Conroy, Jane, additional, Wilkerson, Gregory, additional, Abee, Christian, additional, Simmons, Joe H., additional, Fernandez-Duque, Eduardo, additional, Kanthaswamy, Sree, additional, Shiferaw, Fekadu, additional, Wu, Dongdong, additional, Zhou, Long, additional, Shao, Yong, additional, Zhang, Guojie, additional, Keyyu, Julius D., additional, Knauf, Sascha, additional, Le, Minh D., additional, Lizano, Esther, additional, Merker, Stefan, additional, Navarro, Arcadi, additional, Bataillon, Thomas, additional, Nadler, Tilo, additional, Khor, Chiea Chuen, additional, Lee, Jessica, additional, Tan, Patrick, additional, Lim, Weng Khong, additional, Kitchener, Andrew C., additional, Zinner, Dietmar, additional, Gut, Ivo, additional, Melin, Amanda, additional, Guschanski, Katerina, additional, Schierup, Mikkel Heide, additional, Beck, Robin M. D., additional, Umapathy, Govindhaswamy, additional, Roos, Christian, additional, Boubli, Jean P., additional, Lek, Monkol, additional, Sunyaev, Shamil, additional, O’Donnell-Luria, Anne, additional, Rehm, Heidi L., additional, Xu, Jinbo, additional, Rogers, Jeffrey, additional, Marques-Bonet, Tomas, additional, and Farh, Kyle Kai-How, additional

Published
2023
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19. A global catalog of whole-genome diversity from 233 primate species

Author

Kuderna, Lukas F.K., primary, Gao, Hong, additional, Janiak, Mareike C., additional, Kuhlwilm, Martin, additional, Orkin, Joseph D., additional, Bataillon, Thomas, additional, Manu, Shivakumara, additional, Valenzuela, Alejandro, additional, Bergman, Juraj, additional, Rouselle, Marjolaine, additional, Silva, Felipe Ennes, additional, Agueda, Lidia, additional, Blanc, Julie, additional, Gut, Marta, additional, de Vries, Dorien, additional, Goodhead, Ian, additional, Harris, R. Alan, additional, Raveendran, Muthuswamy, additional, Jensen, Axel, additional, Chuma, Idriss S., additional, Horvath, Julie, additional, Hvilsom, Christina, additional, Juan, David, additional, Frandsen, Peter, additional, Schraiber, Joshua G., additional, de Melo, Fabiano R., additional, Bertuol, Fabricio, additional, Byrne, Hazel, additional, Sampaio, Iracilda, additional, Farias, Izeni, additional, Valsecchi do Amaral, Joao, additional, Messias, Malu, additional, da Silva, Maria N. F., additional, Trivedi, Mihir, additional, Rossi, Rogerio, additional, Hrbek, Tomas, additional, Andriaholinirina, Nicole, additional, Rabarivola, Clement J., additional, Zaramody, Alphonse, additional, Jolly, Clifford J., additional, Phillips-Conroy, Jane, additional, Wilkerson, Gregory, additional, Abee, Christian, additional, Simmons, Joe H., additional, Fernandez-Duque, Eduardo, additional, Kanthaswamy, Sree, additional, Shiferaw, Fekadu, additional, Wu, Dongdong, additional, Zhou, Long, additional, Shao, Yong, additional, Zhang, Guojie, additional, Keyyu, Julius D., additional, Knauf, Sascha, additional, Le, Minh D., additional, Lizano, Esther, additional, Merker, Stefan, additional, Navarro, Arcadi, additional, Nadler, Tilo, additional, Khor, Chiea Chuen, additional, Lee, Jessica, additional, Tan, Patrick, additional, Lim, Weng Khong, additional, Kitchener, Andrew C., additional, Zinner, Dietmar, additional, Gut, Ivo, additional, Melin, Amanda, additional, Guschanski, Katerina, additional, Schierup, Mikkel Heide, additional, Beck, Robin M. D., additional, Umapathy, Govindhaswamy, additional, Roos, Christian, additional, Boubli, Jean P., additional, Rogers, Jeffrey, additional, Farh, Kyle, additional, and Marques Bonet, Tomas, additional

Published
2023
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21. A global catalog of whole-genome diversity from 233 primate species

Author

Kuderna, Lukas F. K., Gao, Hong, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Bataillon, Thomas, Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rousselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, de Vries, Dorien, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idrissa S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, Schraiber, Joshua G., de Melo, Fabiano R., Bertuol, Fabricio, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, Valsecchi, Joao, Messias, Malu, da Silva, Maria N. F., Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clement J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dong-dong, Zhou, Long, Shao, Yong, Zhang, Guoji, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda D., Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M. D., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Rogers, Jeffrey, Farh, Kyle Kai-How, Bonet, Tomas Marques, Kuderna, Lukas F. K., Gao, Hong, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Bataillon, Thomas, Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rousselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, de Vries, Dorien, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idrissa S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, Schraiber, Joshua G., de Melo, Fabiano R., Bertuol, Fabricio, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, Valsecchi, Joao, Messias, Malu, da Silva, Maria N. F., Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clement J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dong-dong, Zhou, Long, Shao, Yong, Zhang, Guoji, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda D., Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M. D., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Rogers, Jeffrey, Farh, Kyle Kai-How, and Bonet, Tomas Marques

Abstract

The rich diversity of morphology and behavior displayed across primate species provides an informative context in which to study the impact of genomic diversity on fundamental biological processes. Analysis of that diversity provides insight into long-standing questions in evolutionary and conservation biology and is urgent given severe threats these species are facing. Here, we present high-coverage wholegenome data from 233 primate species representing 86% of genera and all 16 families. This dataset was used, together with fossil calibration, to create a nuclear DNA phylogeny and to reassess evolutionary divergence times among primate clades. We found within-species genetic diversity across families and geographic regions to be associated with climate and sociality, but not with extinction risk. Furthermore, mutation rates differ across species, potentially influenced by effective population sizes. Lastly, we identified extensive recurrence of missense mutations previously thought to be human specific. This study will open a wide range of research avenues for future primate genomic research.

Published
2023
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22. The landscape of tolerated genetic variation in humans and primates

Author

Gao, Hong, Hamp, Tobias, Ede, Jeffrey, Schraiber, Joshua G., McRae, Jeremy, Singer-Berk, Moriel, Yang, Yanshen, Dietrich, Anastasia S. D., Fiziev, Petko P., Kuderna, Lukas F. K., Sundaram, Laksshman, Wu, Yibing, Adhikari, Aashish, Field, Yair, Chen, Chen, Batzoglou, Serafim, Aguet, Francois, Lemire, Gabrielle, Reimers, Rebecca, Balick, Daniel, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rousselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, de Vries, Dorien, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idriss S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, de Melo, Fabiano R., Bertuol, Fabricio, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, do Amaral, Joao Valsecchi, Messias, Mariluce, da Silva, Maria N. F., Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clement J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dongdong, Zhou, Long, Shao, Yong, Zhang, Guojie, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Bataillon, Thomas, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda, Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M. D., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Lek, Monkol, Sunyaev, Shamil, O'Donnell-Luria, Anne, Rehm, Heidi L., Xu, Jinbo, Rogers, Jeffrey, Marques-Bonet, Tomas, Farh, Kyle Kai-How, Gao, Hong, Hamp, Tobias, Ede, Jeffrey, Schraiber, Joshua G., McRae, Jeremy, Singer-Berk, Moriel, Yang, Yanshen, Dietrich, Anastasia S. D., Fiziev, Petko P., Kuderna, Lukas F. K., Sundaram, Laksshman, Wu, Yibing, Adhikari, Aashish, Field, Yair, Chen, Chen, Batzoglou, Serafim, Aguet, Francois, Lemire, Gabrielle, Reimers, Rebecca, Balick, Daniel, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rousselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, de Vries, Dorien, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idriss S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, de Melo, Fabiano R., Bertuol, Fabricio, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, do Amaral, Joao Valsecchi, Messias, Mariluce, da Silva, Maria N. F., Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clement J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dongdong, Zhou, Long, Shao, Yong, Zhang, Guojie, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Bataillon, Thomas, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda, Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M. D., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Lek, Monkol, Sunyaev, Shamil, O'Donnell-Luria, Anne, Rehm, Heidi L., Xu, Jinbo, Rogers, Jeffrey, Marques-Bonet, Tomas, and Farh, Kyle Kai-How

Abstract

Personalized genome sequencing has revealed millions of genetic differences between individuals, but our understanding of their clinical relevance remains largely incomplete. To systematically decipher the effects of human genetic variants, we obtained whole-genome sequencing data for 809 individuals from 233 primate species and identified 4.3 million common protein-altering variants with orthologs in humans. We show that these variants can be inferred to have nondeleterious effects in humans based on their presence at high allele frequencies in other primate populations. We use this resource to classify 6% of all possible human protein-altering variants as likely benign and impute the pathogenicity of the remaining 94% of variants with deep learning, achieving state-of-the-art accuracy for diagnosing pathogenic variants in patients with genetic diseases., INTRODUCTION: Millions of people have received genome and exome sequencing to date, a collective effort that has illuminated for the first time the vast catalog of small genetic differences that distinguish us as individuals within our species. However, the effects of most of these genetic variants remain unknown, limiting their clinical utility and actionability. New approaches that can accurately discern disease-causing from benign mutations and interpret genetic variants on a genome-wide scale would constitute a meaningful initial step towards realizing the potential of personalized genomic medicine. RATIONALE: As a result of the short evolutionary distance between humans and nonhuman primates, our proteins share near-perfect amino acid sequence identity. Hence, the effects of a protein-altering mutation found in one species are likely to be concordant in the other species. By systematically cataloging common variants of nonhuman primates, we aimed to annotate these variants as being unlikely to cause human disease as they are tolerated by natural selection in a closely related species. Once collected, the resulting resource may be applied to infer the effects of unobserved variants across the genome using machine learning. RESULTS: Following the strategy outlined above we obtained whole-genome sequencing data for 809 individuals from 233 primate species and cataloged 4.3 million common missense variants. We confirmed that human missense variants seen in at least one nonhuman primate species were annotated as benign in the ClinVar clinical variant database in 99% of cases. By contrast, common variants from mammals and vertebrates outside the primate lineage were substantially less likely to be benign in the ClinVar database (71 to 87% benign), restricting this strategy to nonhuman primates. Overall, we reclassified more than 4 million human missense variants of previously unknown consequence as likely benign, resulting in a greater than 50-fold increase in the nu

Published
2023
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23. The landscape of tolerated genetic variation in humans and primates

Author

EMBO, National Institutes of Health (US), Fundación la Caixa, Vienna Science and Technology Fund, European Commission, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), International Primatological Society, Rufford Foundation, Margot Marsh Biodiversity Foundation, Primate Conservation, Mamirauá Institute for Sustainable Development, Gordon and Betty Moore Foundation, Fundação de Amparo à Pesquisa do Estado do Amazonas, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brasil), German Research Foundation, National Science Foundation (US), Ministry of Science and Technology of Vietnam, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Natural Sciences and Engineering Research Council of Canada, Canada Research Chairs, Illumina, Natural Environment Research Council (UK), San Diego Zoo Wildlife Alliance, Wenner-Gren Foundation, Leakey Foundation, National Geographic Society, National Institute on Aging (US), National Research Foundation Singapore, Swedish Research Council, Instituto de Salud Carlos III, Ministerio de Economía y Competitividad (España), Juan, David [0000-0003-1912-9667], Valenzuela, Alejandro [0000-0001-6120-6246], Lizano, Esther [0000-0003-3304-9807], Navarro, Arcadi [0000-0003-2162-8246], Marqués-Bonet, Tomàs [0000-0002-5597-3075], Gao, Hong, Hamp, Tobias, Ede, Jeffrey, Schraiber, Joshua G., McRae, Jeremy, Singer-Berk, Moriel, Yang, Yanshen, Dietrich, Anastasia S. D., Fiziev, Petko P., Kuderna, Lukas F. K., Sundaram, Laksshman, Wu, Yibing, Adhikari, Aashish, Field, Yair, Chen, Chen, Batzoglou, Serafim, Aguet, Francois, Lemire, Gabrielle, Reimers, Rebecca, Balick, Daniel, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rousselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, Vries, Dorien de, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idriss S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, Melo, Fabiano R. de, Bertuol, Fabrício, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, Amaral, João Valsecchi do, Messias, Mariluce, Silva, Maria N. F. da, Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clément J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dongdong, Zhou, Long, Shao, Yong, Zhang, Guojie, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Bataillon, Thomas, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda, Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M. D., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Lek, Monkol, Sunyaev, Shamil, O’Donnell-Luria, Anne, Rehm, Heidi L., Xu, Jinbo, Rogers, Jeffrey, Marqués-Bonet, Tomàs, Farh, Kyle Kai-How, EMBO, National Institutes of Health (US), Fundación la Caixa, Vienna Science and Technology Fund, European Commission, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), International Primatological Society, Rufford Foundation, Margot Marsh Biodiversity Foundation, Primate Conservation, Mamirauá Institute for Sustainable Development, Gordon and Betty Moore Foundation, Fundação de Amparo à Pesquisa do Estado do Amazonas, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brasil), German Research Foundation, National Science Foundation (US), Ministry of Science and Technology of Vietnam, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Natural Sciences and Engineering Research Council of Canada, Canada Research Chairs, Illumina, Natural Environment Research Council (UK), San Diego Zoo Wildlife Alliance, Wenner-Gren Foundation, Leakey Foundation, National Geographic Society, National Institute on Aging (US), National Research Foundation Singapore, Swedish Research Council, Instituto de Salud Carlos III, Ministerio de Economía y Competitividad (España), Juan, David [0000-0003-1912-9667], Valenzuela, Alejandro [0000-0001-6120-6246], Lizano, Esther [0000-0003-3304-9807], Navarro, Arcadi [0000-0003-2162-8246], Marqués-Bonet, Tomàs [0000-0002-5597-3075], Gao, Hong, Hamp, Tobias, Ede, Jeffrey, Schraiber, Joshua G., McRae, Jeremy, Singer-Berk, Moriel, Yang, Yanshen, Dietrich, Anastasia S. D., Fiziev, Petko P., Kuderna, Lukas F. K., Sundaram, Laksshman, Wu, Yibing, Adhikari, Aashish, Field, Yair, Chen, Chen, Batzoglou, Serafim, Aguet, Francois, Lemire, Gabrielle, Reimers, Rebecca, Balick, Daniel, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rousselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, Vries, Dorien de, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idriss S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, Melo, Fabiano R. de, Bertuol, Fabrício, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, Amaral, João Valsecchi do, Messias, Mariluce, Silva, Maria N. F. da, Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clément J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dongdong, Zhou, Long, Shao, Yong, Zhang, Guojie, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Bataillon, Thomas, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda, Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M. D., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Lek, Monkol, Sunyaev, Shamil, O’Donnell-Luria, Anne, Rehm, Heidi L., Xu, Jinbo, Rogers, Jeffrey, Marqués-Bonet, Tomàs, and Farh, Kyle Kai-How

Abstract

[INTRODUCTION] Millions of people have received genome and exome sequencing to date, a collective effort that has illuminated for the first time the vast catalog of small genetic differences that distinguish us as individuals within our species. However, the effects of most of these genetic variants remain unknown, limiting their clinical utility and actionability. New approaches that can accurately discern disease-causing from benign mutations and interpret genetic variants on a genome-wide scale would constitute a meaningful initial step towards realizing the potential of personalized genomic medicine., [RATIONALE] As a result of the short evolutionary distance between humans and nonhuman primates, our proteins share near-perfect amino acid sequence identity. Hence, the effects of a protein-altering mutation found in one species are likely to be concordant in the other species. By systematically cataloging common variants of nonhuman primates, we aimed to annotate these variants as being unlikely to cause human disease as they are tolerated by natural selection in a closely related species. Once collected, the resulting resource may be applied to infer the effects of unobserved variants across the genome using machine learning., [RESULTS] Following the strategy outlined above we obtained whole-genome sequencing data for 809 individuals from 233 primate species and cataloged 4.3 million common missense variants. We confirmed that human missense variants seen in at least one nonhuman primate species were annotated as benign in the ClinVar clinical variant database in 99% of cases. By contrast, common variants from mammals and vertebrates outside the primate lineage were substantially less likely to be benign in the ClinVar database (71 to 87% benign), restricting this strategy to nonhuman primates. Overall, we reclassified more than 4 million human missense variants of previously unknown consequence as likely benign, resulting in a greater than 50-fold increase in the number of annotated missense variants compared to existing clinical databases. To infer the pathogenicity of the remaining missense variants in the human genome, we constructed PrimateAI-3D, a semisupervised 3D-convolutional neural network that operates on voxelized protein structures. We trained PrimateAI-3D to separate common primate variants from matched control variants in 3D space as a semisupervised learning task. We evaluated the trained PrimateAI-3D model alongside 15 other published machine learning methods on their ability to distinguish between benign and pathogenic variants in six different clinical benchmarks and demonstrated that PrimateAI-3D outperformed all other classifiers in each of the tasks., [CONCLUSION] Our study addresses one of the key challenges in the variant interpretation field, namely, the lack of sufficient labeled data to effectively train large machine learning models. By generating the most comprehensive primate sequencing dataset to date and pairing this resource with a deep learning architecture that leverages 3D protein structures, we were able to achieve meaningful improvements in variant effect prediction across multiple clinical benchmarks.

Published
2023

24. A global catalog of whole-genome diversity from 233 primate species

Author

Fundación la Caixa, Vienna Science and Technology Fund, European Commission, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), International Primatological Society, Rufford Foundation, Margot Marsh Biodiversity Foundation, Primate Conservation, Fundação de Amparo à Pesquisa do Estado do Amazonas, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brasil), German Research Foundation, National Science Foundation (US), Ministry of Science and Technology of Vietnam, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Generalitat de Catalunya, Natural Sciences and Engineering Research Council of Canada, Canada Research Chairs, European Research Council, Natural Environment Research Council (UK), UK Research and Innovation, Department of Biotechnology (India), San Diego Zoo Wildlife Alliance, Wenner-Gren Foundation, Leakey Foundation, National Geographic Society, National Institute on Aging (US), National Institutes of Health (US), Swedish Research Council, National Research Foundation Singapore, Government of Singapore, Kuderna, Lukas F. K. [0000-0002-9992-9295], Kuhlwilm, Martin [0000-0002-0115-1797], Orkin, Joseph D. [0000-0001-6922-2072], Valenzuela, Alejandro [0000-0001-6120-6246], Juan, David [0000-0003-1912-9667], Lizano, Esther [0000-0003-3304-9807], Navarro, Arcadi [0000-0003-2162-8246], Marqués-Bonet, Tomàs [0000-0002-5597-3075], Kuderna, Lukas F. K., Gao, Hong, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Bataillon, Thomas, Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rousselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, Vries, Dorien de, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idrissa S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, Schraiber, Joshua G., Melo, Fabiano R. de, Bertuol, Fabrício, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, Valsecchi, João, Messias, Malu, Silva, Maria N. F. da, Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clément J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dongdong, Zhou, Long, Shao, Yong, Zhang, Guojie, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda D., Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M. D., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Rogers, Jeffrey, Farh, Kyle Kai-How, Marqués-Bonet, Tomàs, Fundación la Caixa, Vienna Science and Technology Fund, European Commission, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), International Primatological Society, Rufford Foundation, Margot Marsh Biodiversity Foundation, Primate Conservation, Fundação de Amparo à Pesquisa do Estado do Amazonas, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brasil), German Research Foundation, National Science Foundation (US), Ministry of Science and Technology of Vietnam, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Generalitat de Catalunya, Natural Sciences and Engineering Research Council of Canada, Canada Research Chairs, European Research Council, Natural Environment Research Council (UK), UK Research and Innovation, Department of Biotechnology (India), San Diego Zoo Wildlife Alliance, Wenner-Gren Foundation, Leakey Foundation, National Geographic Society, National Institute on Aging (US), National Institutes of Health (US), Swedish Research Council, National Research Foundation Singapore, Government of Singapore, Kuderna, Lukas F. K. [0000-0002-9992-9295], Kuhlwilm, Martin [0000-0002-0115-1797], Orkin, Joseph D. [0000-0001-6922-2072], Valenzuela, Alejandro [0000-0001-6120-6246], Juan, David [0000-0003-1912-9667], Lizano, Esther [0000-0003-3304-9807], Navarro, Arcadi [0000-0003-2162-8246], Marqués-Bonet, Tomàs [0000-0002-5597-3075], Kuderna, Lukas F. K., Gao, Hong, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Bataillon, Thomas, Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rousselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, Vries, Dorien de, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idrissa S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, Schraiber, Joshua G., Melo, Fabiano R. de, Bertuol, Fabrício, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, Valsecchi, João, Messias, Malu, Silva, Maria N. F. da, Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clément J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dongdong, Zhou, Long, Shao, Yong, Zhang, Guojie, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda D., Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M. D., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Rogers, Jeffrey, Farh, Kyle Kai-How, and Marqués-Bonet, Tomàs

Abstract

The rich diversity of morphology and behavior displayed across primate species provides an informative context in which to study the impact of genomic diversity on fundamental biological processes. Analysis of that diversity provides insight into long-standing questions in evolutionary and conservation biology and is urgent given severe threats these species are facing. Here, we present high-coverage whole-genome data from 233 primate species representing 86% of genera and all 16 families. This dataset was used, together with fossil calibration, to create a nuclear DNA phylogeny and to reassess evolutionary divergence times among primate clades. We found within-species genetic diversity across families and geographic regions to be associated with climate and sociality, but not with extinction risk. Furthermore, mutation rates differ across species, potentially influenced by effective population sizes. Lastly, we identified extensive recurrence of missense mutations previously thought to be human specific. This study will open a wide range of research avenues for future primate genomic research.

Published
2023

25. A global catalog of whole-genome diversity from 233 primate species

Author

Kuderna, Lukas F.K., Gao, Hong, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Bataillon, Thomas, Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rousselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, de Vries, Dorien, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idrissa S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, Schraiber, Joshua G., de Melo, Fabiano R., Bertuol, Fabrício, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, Valsecchi, João, Messias, Malu, da Silva, Maria N.F., Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clément J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dongdong, Zhou, Long, Shao, Yong, Zhang, Guojie, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda D., Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M.D., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Rogers, Jeffrey, Farh, Kyle Kai How, Marques Bonet, Tomas, Kuderna, Lukas F.K., Gao, Hong, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Bataillon, Thomas, Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rousselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, de Vries, Dorien, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idrissa S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, Schraiber, Joshua G., de Melo, Fabiano R., Bertuol, Fabrício, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, Valsecchi, João, Messias, Malu, da Silva, Maria N.F., Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clément J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dongdong, Zhou, Long, Shao, Yong, Zhang, Guojie, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda D., Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M.D., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Rogers, Jeffrey, Farh, Kyle Kai How, and Marques Bonet, Tomas

Abstract

The rich diversity of morphology and behavior displayed across primate species provides an informative context in which to study the impact of genomic diversity on fundamental biological processes. Analysis of that diversity provides insight into long-standing questions in evolutionary and conservation biology and is urgent given severe threats these species are facing. Here, we present high-coverage whole-genome data from 233 primate species representing 86% of genera and all 16 families. This dataset was used, together with fossil calibration, to create a nuclear DNA phylogeny and to reassess evolutionary divergence times among primate clades. We found within-species genetic diversity across families and geographic regions to be associated with climate and sociality, but not with extinction risk. Furthermore, mutation rates differ across species, potentially influenced by effective population sizes. Lastly, we identified extensive recurrence of missense mutations previously thought to be human specific. This study will open a wide range of research avenues for future primate genomic research., The rich diversity of morphology and behavior displayed across primate species provides an informative context in which to study the impact of genomic diversity on fundamental biological processes. Analysis of that diversity provides insight into long-standing questions in evolutionary and conservation biology and is urgent given severe threats these species are facing. Here, we present high-coverage whole-genome data from 233 primate species representing 86% of genera and all 16 families. This dataset was used, together with fossil calibration, to create a nuclear DNA phylogeny and to reassess evolutionary divergence times among primate clades. We found within-species genetic diversity across families and geographic regions to be associated with climate and sociality, but not with extinction risk. Furthermore, mutation rates differ across species, potentially influenced by effective population sizes. Lastly, we identified extensive recurrence of missense mutations previously thought to be human specific. This study will open a wide range of research avenues for future primate genomic research.

Published
2023

28. What does the distribution of fitness effects of new mutations reflect? : Insights from plants

Author

Chen, Jun, Bataillon, Thomas, Glemin, Sylvain, Lascoux, Martin, Chen, Jun, Bataillon, Thomas, Glemin, Sylvain, and Lascoux, Martin

Abstract

The distribution of fitness effects (DFE) of new mutations plays a central role in molecular evolution. It is therefore crucial to be able to estimate it accurately from genomic data and to understand the factors that shape it. After a rapid overview of available methods to characterize the fitness effects of mutations, we review what is known on the factors affecting them in plants. Available data indicate that life history traits (e.g. mating system and longevity) have a major effect on the DFE. By contrast, the impact of demography within species appears to be more limited. These results remain to be confirmed, and methods to estimate the joint evolution of demography, life history traits, and the DFE need to be developed.

Published
2022
Full Text
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29. Hunting for Beneficial Mutations : Conditioning on SIFT Scores When Estimating the Distribution of Fitness Effect of New Mutations

Author

Chen, Jun, Bataillon, Thomas, Glemin, Sylvain, Lascoux, Martin, Chen, Jun, Bataillon, Thomas, Glemin, Sylvain, and Lascoux, Martin

Abstract

The distribution of fitness effects (DFE) of new mutations is a key parameter of molecular evolution. The DFE can in principle be estimated by comparing the site frequency spectra (SFS) of putatively neutral and functional polymorphisms. Unfortunately, the DFE is intrinsically hard to estimate, especially for beneficial mutations because these tend to be exceedingly rare. There is therefore a strong incentive to find out whether conditioning on properties of mutations that are independent of the SFS could provide additional information. In the present study, we developed a new measure based on SIFT scores. SIFT scores are assigned to nucleotide sites based on their level of conservation across a multispecies alignment: the more conserved a site, the more likely mutations occurring at this site are deleterious, and the lower the SIFT score. If one knows the ancestral state at a given site, one can assign a value to new mutations occurring at the site based on the change of SIFT score associated with the mutation. We called this new measure delta. We show that properties of the DFE as well as the flux of beneficial mutations across classes covary with delta and, hence, that SIFT scores are informative when estimating the fitness effect of new mutations. In particular, conditioning on SIFT scores can help to characterize beneficial mutations.

Published
2022
Full Text
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31. Extensive X-linked adaptive evolution in central chimpanzees

Author

Hvilsom, Christina, Qian, Yu, Bataillon, Thomas, Li, Yingrui, Mailund, Thomas, Sallé, Bettina, Carlsen, Frands, Li, Ruiqiang, Zheng, Hancheng, Jiang, Tao, Jiang, Hui, Jin, Xin, Munch, Kasper, Hobolth, Asger, Siegismund, Hans R., Wang, Jun, and Schierup, Mikkel Heide

Published
2012

40. Hunting for Beneficial Mutations: Conditioning on SIFT Scores When Estimating the Distribution of Fitness Effect of New Mutations

Author

Chen, Jun, Bataillon, Thomas, Glémin, Sylvain, Lascoux, Martin, Zhejiang University, Aarhus University [Aarhus], Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), Department of Ecology and Genetics [Uppsala] (EBC), Uppsala University, Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), and Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS)

Subjects
AcademicSubjects/SCI01140, Polymorphism, Genetic, Models, Genetic, AcademicSubjects/SCI01130, beneficial mutations, Evolution, Molecular, SIFT, Mutation, Genetics, Genetic Fitness, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Genetik, DFE, Research Article
Abstract

International audience; The Distribution of Fitness Effects (DFE) of new mutations is a key parameter of molecular evolution. The DFE can in principle be estimated by comparing the Site Frequency Spectra (SFS) of putatively neutral and functional polymorphisms. Unfortunately the DFE is intrinsically hard to estimate, especially for beneficial mutations since these tend to be exceedingly rare. There is therefore a strong incentive to find out whether conditioning on properties of mutations that are independent of the SFS could provide additional information. In the present study, we developed a new measure based on SIFT scores. SIFT scores are assigned to nucleotide sites based on their level of conservation across a multi species alignment: the more conserved a site, the more likely mutations occurring at this site are deleterious and the lower the SIFT score. If one knows the ancestral state at a given site, one can assign a value to new mutations occurring at the site based on the change of SIFT score associated with the mutation. We called this new measure δ. We show that properties of the DFE as well as the flux of beneficial mutations across classes covary with δ and, hence, that SIFT scores are informative when estimating the fitness effect of new mutations. In particular, conditioning on SIFT scores can help to characterize beneficial mutations.

Published
2021
Full Text
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47. Dioecy Is Associated with High Genetic Diversity and Adaptation Rates in the Plant Genus Silene

Author

Muyle, Aline, Martin, Helene, Zemp, Niklaus, Mollion, Maeva, Gallina, Sophie, Tavares, Raquel, Silva, Alexandre, Bataillon, Thomas, Widmer, Alex, Glemin, Sylvain, Touzet, Pascal, Marais, Gabriel A. B., Muyle, Aline, Martin, Helene, Zemp, Niklaus, Mollion, Maeva, Gallina, Sophie, Tavares, Raquel, Silva, Alexandre, Bataillon, Thomas, Widmer, Alex, Glemin, Sylvain, Touzet, Pascal, and Marais, Gabriel A. B.

Abstract

About 15,000 angiosperm species (similar to 6%) have separate sexes, a phenomenon known as dioecy. Why dioecious taxa are so rare is still an open question. Early work reported lower species richness in dioecious compared with nondioecious sister clades, raising the hypothesis that dioecy may be an evolutionary dead-end. This hypothesis has been recently challenged by macroevolutionary analyses that detected no or even positive effect of dioecy on diversification. However, the possible genetic consequences of dioecy at the population level, which could drive the long-term fate of dioecious lineages, have not been tested so far. Here, we used a population genomics approach in the Silene genus to look for possible effects of dioecy, especially for potential evidence of evolutionary handicaps of dioecy underlying the dead-end hypothesis. We collected individual-based RNA-seq data from several populations in 13 closely related species with different sexual systems: seven dioecious, three hermaphroditic, and three gynodioecious species. We show that dioecy is associated with increased genetic diversity, as well as higher selection efficacy both against deleterious mutations and for beneficial mutations. The results hold after controlling for phylogenetic inertia, differences in species census population sizes and geographic ranges. We conclude that dioecious Silene species neither show signs of increased mutational load nor genetic evidence for extinction risk. We discuss these observations in the light of the possible demographic differences between dioecious and self-compatible hermaphroditic species and how this could be related to alternatives to the dead-end hypothesis to explain the rarity of dioecy.

Published
2021
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48. Using singleton densities to detect recent selection in Bos taurus

Author

Hartfield, Matthew, Poulsen, Nina Aagaard, Guldbrandtsen, Bernt, Bataillon, Thomas, Hartfield, Matthew, Poulsen, Nina Aagaard, Guldbrandtsen, Bernt, and Bataillon, Thomas

Abstract

Many quantitative traits are subject to polygenic selection, where several genomic regions undergo small, simultaneous changes in allele frequency that collectively alter a phenotype. The widespread availability of genome data, along with novel statistical techniques, has made it easier to detect these changes. We apply one such method, the “Singleton Density Score” (SDS), to the Holstein breed of Bos taurus to detect recent selection (arising up to around 740 years ago). We identify several genes as candidates for targets of recent selection, including some relating to cell regulation, catabolic processes, neural-cell adhesion and immunity. We do not find strong evidence that three traits that are important to humans—milk protein content, milk fat content, and stature—have been subject to directional selection. Simulations demonstrate that because B. taurus recently experienced a population bottleneck, singletons are depleted so the power of SDS methods is reduced. These results inform on which genes underlie recent genetic change in B. taurus, while providing information on how polygenic selection can be best investigated in future studies.

Published
2021

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