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2. A genomic timescale for placental mammal evolution

Author

Foley, Nicole M, Mason, Victor C, Harris, Andrew J, Bredemeyer, Kevin R, Damas, Joana, Lewin, Harris A, Eizirik, Eduardo, Gatesy, John, Karlsson, Elinor K, Lindblad-Toh, Kerstin, Springer, Mark S, Murphy, William J, Andrews, Gregory, Armstrong, Joel C, Bianchi, Matteo, Birren, Bruce W, Breit, Ana M, Christmas, Matthew J, Clawson, Hiram, Di Palma, Federica, Diekhans, Mark, Dong, Michael X, Fan, Kaili, Fanter, Cornelia, Forsberg-Nilsson, Karin, Garcia, Carlos J, Gazal, Steven, Genereux, Diane P, Goodman, Linda, Grimshaw, Jenna, Halsey, Michaela K, Hickey, Glenn, Hiller, Michael, Hindle, Allyson G, Hubley, Robert M, Hughes, Graham M, Johnson, Jeremy, Juan, David, Kaplow, Irene M, Keough, Kathleen C, Kirilenko, Bogdan, Koepfli, Klaus-Peter, Korstian, Jennifer M, Kowalczyk, Amanda, Kozyrev, Sergey V, Lawler, Alyssa J, Lawless, Colleen, Lehmann, Thomas, Levesque, Danielle L, Li, Xue, Lind, Abigail, Mackay-Smith, Ava, Marinescu, Voichita D, Marques-Bonet, Tomas, Meadows, Jennifer RS, Meyer, Wynn K, Moore, Jill E, Moreira, Lucas R, Moreno-Santillan, Diana D, Morrill, Kathleen M, Muntané, Gerard, Navarro, Arcadi, Nweeia, Martin, Ortmann, Sylvia, Osmanski, Austin, Paten, Benedict, Paulat, Nicole S, Pfenning, Andreas R, Phan, BaDoi N, Pollard, Katherine S, Pratt, Henry E, Ray, David A, Reilly, Steven K, Rosen, Jeb R, Ruf, Irina, Ryan, Louise, Ryder, Oliver A, Sabeti, Pardis C, Schäffer, Daniel E, Serres, Aitor, Shapiro, Beth, Smit, Arian FA, Springer, Mark, Srinivasan, Chaitanya, Steiner, Cynthia, Storer, Jessica M, Sullivan, Kevin AM, Sullivan, Patrick F, and Sundström, Elisabeth

Subjects
Genetics, Human Genome, Biotechnology, Animals, Female, Biological Evolution, Eutheria, Evolution, Molecular, Fossils, Genomics, Phylogeny, Genetic Variation, Time Factors, Zoonomia Consortium‡, General Science & Technology
Abstract

The precise pattern and timing of speciation events that gave rise to all living placental mammals remain controversial. We provide a comprehensive phylogenetic analysis of genetic variation across an alignment of 241 placental mammal genome assemblies, addressing prior concerns regarding limited genomic sampling across species. We compared neutral genome-wide phylogenomic signals using concatenation and coalescent-based approaches, interrogated phylogenetic variation across chromosomes, and analyzed extensive catalogs of structural variants. Interordinal relationships exhibit relatively low rates of phylogenomic conflict across diverse datasets and analytical methods. Conversely, X-chromosome versus autosome conflicts characterize multiple independent clades that radiated during the Cenozoic. Genomic time trees reveal an accumulation of cladogenic events before and immediately after the Cretaceous-Paleogene (K-Pg) boundary, implying important roles for Cretaceous continental vicariance and the K-Pg extinction in the placental radiation.

Published
2023

3. Comparative genomics of Balto, a famous historic dog, captures lost diversity of 1920s sled dogs

Author

Moon, Katherine L, Huson, Heather J, Morrill, Kathleen, Wang, Ming-Shan, Li, Xue, Srikanth, Krishnamoorthy, Lindblad-Toh, Kerstin, Svenson, Gavin J, Karlsson, Elinor K, Shapiro, Beth, Andrews, Gregory, Armstrong, Joel C, Bianchi, Matteo, Birren, Bruce W, Bredemeyer, Kevin R, Breit, Ana M, Christmas, Matthew J, Clawson, Hiram, Damas, Joana, Di Palma, Federica, Diekhans, Mark, Dong, Michael X, Eizirik, Eduardo, Fan, Kaili, Fanter, Cornelia, Foley, Nicole M, Forsberg-Nilsson, Karin, Garcia, Carlos J, Gatesy, John, Gazal, Steven, Genereux, Diane P, Goodman, Linda, Grimshaw, Jenna, Halsey, Michaela K, Harris, Andrew J, Hickey, Glenn, Hiller, Michael, Hindle, Allyson G, Hubley, Robert M, Hughes, Graham M, Johnson, Jeremy, Juan, David, Kaplow, Irene M, Keough, Kathleen C, Kirilenko, Bogdan, Koepfli, Klaus-Peter, Korstian, Jennifer M, Kowalczyk, Amanda, Kozyrev, Sergey V, Lawler, Alyssa J, Lawless, Colleen, Lehmann, Thomas, Levesque, Danielle L, Lewin, Harris A, Lind, Abigail, Mackay-Smith, Ava, Marinescu, Voichita D, Marques-Bonet, Tomas, Mason, Victor C, Meadows, Jennifer RS, Meyer, Wynn K, Moore, Jill E, Moreira, Lucas R, Moreno-Santillan, Diana D, Morrill, Kathleen M, Muntané, Gerard, Murphy, William J, Navarro, Arcadi, Nweeia, Martin, Ortmann, Sylvia, Osmanski, Austin, Paten, Benedict, Paulat, Nicole S, Pfenning, Andreas R, Phan, BaDoi N, Pollard, Katherine S, Pratt, Henry E, Ray, David A, Reilly, Steven K, Rosen, Jeb R, Ruf, Irina, Ryan, Louise, Ryder, Oliver A, Sabeti, Pardis C, Schäffer, Daniel E, Serres, Aitor, Smit, Arian FA, Springer, Mark, Srinivasan, Chaitanya, Steiner, Cynthia, Storer, Jessica M, Sullivan, Kevin AM, Sullivan, Patrick F, Sundström, Elisabeth, Supple, Megan A, and Swofford, Ross

Subjects
Agricultural, Veterinary and Food Sciences, Biological Sciences, Genetics, Animals, Dogs, Male, Genome, Genomics, Genotype, Phenotype, Wolves, Biodiversity, Genetic Variation, Zoonomia Consortium, General Science & Technology
Abstract

We reconstruct the phenotype of Balto, the heroic sled dog renowned for transporting diphtheria antitoxin to Nome, Alaska, in 1925, using evolutionary constraint estimates from the Zoonomia alignment of 240 mammals and 682 genomes from dogs and wolves of the 21st century. Balto shares just part of his diverse ancestry with the eponymous Siberian husky breed. Balto's genotype predicts a combination of coat features atypical for modern sled dog breeds, and a slightly smaller stature. He had enhanced starch digestion compared with Greenland sled dogs and a compendium of derived homozygous coding variants at constrained positions in genes connected to bone and skin development. We propose that Balto's population of origin, which was less inbred and genetically healthier than that of modern breeds, was adapted to the extreme environment of 1920s Alaska.

Published
2023

4. The contribution of historical processes to contemporary extinction risk in placental mammals

Author

Wilder, Aryn P, Supple, Megan A, Subramanian, Ayshwarya, Mudide, Anish, Swofford, Ross, Serres-Armero, Aitor, Steiner, Cynthia, Koepfli, Klaus-Peter, Genereux, Diane P, Karlsson, Elinor K, Lindblad-Toh, Kerstin, Marques-Bonet, Tomas, Munoz Fuentes, Violeta, Foley, Kathleen, Meyer, Wynn K, Ryder, Oliver A, Shapiro, Beth, Andrews, Gregory, Armstrong, Joel C, Bianchi, Matteo, Birren, Bruce W, Bredemeyer, Kevin R, Breit, Ana M, Christmas, Matthew J, Clawson, Hiram, Damas, Joana, Di Palma, Federica, Diekhans, Mark, Dong, Michael X, Eizirik, Eduardo, Fan, Kaili, Fanter, Cornelia, Foley, Nicole M, Forsberg-Nilsson, Karin, Garcia, Carlos J, Gatesy, John, Gazal, Steven, Goodman, Linda, Grimshaw, Jenna, Halsey, Michaela K, Harris, Andrew J, Hickey, Glenn, Hiller, Michael, Hindle, Allyson G, Hubley, Robert M, Hughes, Graham M, Johnson, Jeremy, Juan, David, Kaplow, Irene M, Keough, Kathleen C, Kirilenko, Bogdan, Korstian, Jennifer M, Kowalczyk, Amanda, Kozyrev, Sergey V, Lawler, Alyssa J, Lawless, Colleen, Lehmann, Thomas, Levesque, Danielle L, Lewin, Harris A, Li, Xue, Lind, Abigail, Mackay-Smith, Ava, Marinescu, Voichita D, Mason, Victor C, Meadows, Jennifer RS, Moore, Jill E, Moreira, Lucas R, Moreno-Santillan, Diana D, Morrill, Kathleen M, Muntané, Gerard, Murphy, William J, Navarro, Arcadi, Nweeia, Martin, Ortmann, Sylvia, Osmanski, Austin, Paten, Benedict, Paulat, Nicole S, Pfenning, Andreas R, Phan, BaDoi N, Pollard, Katherine S, Pratt, Henry E, Ray, David A, Reilly, Steven K, Rosen, Jeb R, Ruf, Irina, Ryan, Louise, Sabeti, Pardis C, Schäffer, Daniel E, Serres, Aitor, Smit, Arian FA, Springer, Mark, and Srinivasan, Chaitanya

Subjects
Biological Sciences, Evolutionary Biology, Genetics, Behavioral and Social Science, Human Genome, Basic Behavioral and Social Science, Life on Land, Animals, Female, Pregnancy, Eutheria, Extinction, Biological, Genetic Variation, Genome, Population Density, Risk, Zoonomia Consortium‡, General Science & Technology
Abstract

Species persistence can be influenced by the amount, type, and distribution of diversity across the genome, suggesting a potential relationship between historical demography and resilience. In this study, we surveyed genetic variation across single genomes of 240 mammals that compose the Zoonomia alignment to evaluate how historical effective population size (Ne) affects heterozygosity and deleterious genetic load and how these factors may contribute to extinction risk. We find that species with smaller historical Ne carry a proportionally larger burden of deleterious alleles owing to long-term accumulation and fixation of genetic load and have a higher risk of extinction. This suggests that historical demography can inform contemporary resilience. Models that included genomic data were predictive of species' conservation status, suggesting that, in the absence of adequate census or ecological data, genomic information may provide an initial risk assessment.

Published
2023

5. The functional and evolutionary impacts of human-specific deletions in conserved elements

Author

Xue, James R, Mackay-Smith, Ava, Mouri, Kousuke, Garcia, Meilin Fernandez, Dong, Michael X, Akers, Jared F, Noble, Mark, Li, Xue, Lindblad-Toh, Kerstin, Karlsson, Elinor K, Noonan, James P, Capellini, Terence D, Brennand, Kristen J, Tewhey, Ryan, Sabeti, Pardis C, Reilly, Steven K, Andrews, Gregory, Armstrong, Joel C, Bianchi, Matteo, Birren, Bruce W, Bredemeyer, Kevin R, Breit, Ana M, Christmas, Matthew J, Clawson, Hiram, Damas, Joana, Di Palma, Federica, Diekhans, Mark, Eizirik, Eduardo, Fan, Kaili, Fanter, Cornelia, Foley, Nicole M, Forsberg-Nilsson, Karin, Garcia, Carlos J, Gatesy, John, Gazal, Steven, Genereux, Diane P, Goodman, Linda, Grimshaw, Jenna, Halsey, Michaela K, Harris, Andrew J, Hickey, Glenn, Hiller, Michael, Hindle, Allyson G, Hubley, Robert M, Hughes, Graham M, Johnson, Jeremy, Juan, David, Kaplow, Irene M, Keough, Kathleen C, Kirilenko, Bogdan, Koepfli, Klaus-Peter, Korstian, Jennifer M, Kowalczyk, Amanda, Kozyrev, Sergey V, Lawler, Alyssa J, Lawless, Colleen, Lehmann, Thomas, Levesque, Danielle L, Lewin, Harris A, Lind, Abigail, Marinescu, Voichita D, Marques-Bonet, Tomas, Mason, Victor C, Meadows, Jennifer RS, Meyer, Wynn K, Moore, Jill E, Moreira, Lucas R, Moreno-Santillan, Diana D, Morrill, Kathleen M, Muntané, Gerard, Murphy, William J, Navarro, Arcadi, Nweeia, Martin, Ortmann, Sylvia, Osmanski, Austin, Paten, Benedict, Paulat, Nicole S, Pfenning, Andreas R, Phan, BaDoi N, Pollard, Katherine S, Pratt, Henry E, Ray, David A, Rosen, Jeb R, Ruf, Irina, Ryan, Louise, Ryder, Oliver A, Schäffer, Daniel E, Serres, Aitor, Shapiro, Beth, Smit, Arian FA, Springer, Mark, Srinivasan, Chaitanya, and Steiner, Cynthia

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Biotechnology, Neurosciences, Human Genome, 1.1 Normal biological development and functioning, Underpinning research, Generic health relevance, Neurological, Humans, Conserved Sequence, Evolution, Molecular, Genome, Genomics, RNA-Binding Proteins, Sequence Deletion, Brain, Gene Expression Regulation, Developmental, Zoonomia Consortium†, General Science & Technology
Abstract

Conserved genomic sequences disrupted in humans may underlie uniquely human phenotypic traits. We identified and characterized 10,032 human-specific conserved deletions (hCONDELs). These short (average 2.56 base pairs) deletions are enriched for human brain functions across genetic, epigenomic, and transcriptomic datasets. Using massively parallel reporter assays in six cell types, we discovered 800 hCONDELs conferring significant differences in regulatory activity, half of which enhance rather than disrupt regulatory function. We highlight several hCONDELs with putative human-specific effects on brain development, including HDAC5, CPEB4, and PPP2CA. Reverting an hCONDEL to the ancestral sequence alters the expression of LOXL2 and developmental genes involved in myelination and synaptic function. Our data provide a rich resource to investigate the evolutionary mechanisms driving new traits in humans and other species.

Published
2023

6. Integrating gene annotation with orthology inference at scale

Author

Kirilenko, Bogdan M, Munegowda, Chetan, Osipova, Ekaterina, Jebb, David, Sharma, Virag, Blumer, Moritz, Morales, Ariadna E, Ahmed, Alexis-Walid, Kontopoulos, Dimitrios-Georgios, Hilgers, Leon, Lindblad-Toh, Kerstin, Karlsson, Elinor K, Hiller, Michael, Andrews, Gregory, Armstrong, Joel C, Bianchi, Matteo, Birren, Bruce W, Bredemeyer, Kevin R, Breit, Ana M, Christmas, Matthew J, Clawson, Hiram, Damas, Joana, Di Palma, Federica, Diekhans, Mark, Dong, Michael X, Eizirik, Eduardo, Fan, Kaili, Fanter, Cornelia, Foley, Nicole M, Forsberg-Nilsson, Karin, Garcia, Carlos J, Gatesy, John, Gazal, Steven, Genereux, Diane P, Goodman, Linda, Grimshaw, Jenna, Halsey, Michaela K, Harris, Andrew J, Hickey, Glenn, Hindle, Allyson G, Hubley, Robert M, Hughes, Graham M, Johnson, Jeremy, Juan, David, Kaplow, Irene M, Keough, Kathleen C, Kirilenko, Bogdan, Koepfli, Klaus-Peter, Korstian, Jennifer M, Kowalczyk, Amanda, Kozyrev, Sergey V, Lawler, Alyssa J, Lawless, Colleen, Lehmann, Thomas, Levesque, Danielle L, Lewin, Harris A, Li, Xue, Lind, Abigail, Mackay-Smith, Ava, Marinescu, Voichita D, Marques-Bonet, Tomas, Mason, Victor C, Meadows, Jennifer RS, Meyer, Wynn K, Moore, Jill E, Moreira, Lucas R, Moreno-Santillan, Diana D, Morrill, Kathleen M, Muntané, Gerard, Murphy, William J, Navarro, Arcadi, Nweeia, Martin, Ortmann, Sylvia, Osmanski, Austin, Paten, Benedict, Paulat, Nicole S, Pfenning, Andreas R, Phan, BaDoi N, Pollard, Katherine S, Pratt, Henry E, Ray, David A, Reilly, Steven K, Rosen, Jeb R, Ruf, Irina, Ryan, Louise, Ryder, Oliver A, Sabeti, Pardis C, Schäffer, Daniel E, Serres, Aitor, Shapiro, Beth, Smit, Arian FA, Springer, Mark, Srinivasan, Chaitanya, Steiner, Cynthia, Storer, Jessica M, Sullivan, Kevin AM, and Sullivan, Patrick F

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Biotechnology, Human Genome, Generic health relevance, Animals, Female, Mice, Eutheria, Genome, Genomics, Molecular Sequence Annotation, Birds, Zoonomia Consortium‡, General Science & Technology
Abstract

Annotating coding genes and inferring orthologs are two classical challenges in genomics and evolutionary biology that have traditionally been approached separately, limiting scalability. We present TOGA (Tool to infer Orthologs from Genome Alignments), a method that integrates structural gene annotation and orthology inference. TOGA implements a different paradigm to infer orthologous loci, improves ortholog detection and annotation of conserved genes compared with state-of-the-art methods, and handles even highly fragmented assemblies. TOGA scales to hundreds of genomes, which we demonstrate by applying it to 488 placental mammal and 501 bird assemblies, creating the largest comparative gene resources so far. Additionally, TOGA detects gene losses, enables selection screens, and automatically provides a superior measure of mammalian genome quality. TOGA is a powerful and scalable method to annotate and compare genes in the genomic era.

Published
2023

7. Relating enhancer genetic variation across mammals to complex phenotypes using machine learning

Author

Kaplow, Irene M, Lawler, Alyssa J, Schäffer, Daniel E, Srinivasan, Chaitanya, Sestili, Heather H, Wirthlin, Morgan E, Phan, BaDoi N, Prasad, Kavya, Brown, Ashley R, Zhang, Xiaomeng, Foley, Kathleen, Genereux, Diane P, Karlsson, Elinor K, Lindblad-Toh, Kerstin, Meyer, Wynn K, Pfenning, Andreas R, Andrews, Gregory, Armstrong, Joel C, Bianchi, Matteo, Birren, Bruce W, Bredemeyer, Kevin R, Breit, Ana M, Christmas, Matthew J, Clawson, Hiram, Damas, Joana, Di Palma, Federica, Diekhans, Mark, Dong, Michael X, Eizirik, Eduardo, Fan, Kaili, Fanter, Cornelia, Foley, Nicole M, Forsberg-Nilsson, Karin, Garcia, Carlos J, Gatesy, John, Gazal, Steven, Goodman, Linda, Grimshaw, Jenna, Halsey, Michaela K, Harris, Andrew J, Hickey, Glenn, Hiller, Michael, Hindle, Allyson G, Hubley, Robert M, Hughes, Graham M, Johnson, Jeremy, Juan, David, Keough, Kathleen C, Kirilenko, Bogdan, Koepfli, Klaus-Peter, Korstian, Jennifer M, Kowalczyk, Amanda, Kozyrev, Sergey V, Lawless, Colleen, Lehmann, Thomas, Levesque, Danielle L, Lewin, Harris A, Li, Xue, Lind, Abigail, Mackay-Smith, Ava, Marinescu, Voichita D, Marques-Bonet, Tomas, Mason, Victor C, Meadows, Jennifer RS, Moore, Jill E, Moreira, Lucas R, Moreno-Santillan, Diana D, Morrill, Kathleen M, Muntané, Gerard, Murphy, William J, Navarro, Arcadi, Nweeia, Martin, Ortmann, Sylvia, Osmanski, Austin, Paten, Benedict, Paulat, Nicole S, Pollard, Katherine S, Pratt, Henry E, Ray, David A, Reilly, Steven K, Rosen, Jeb R, Ruf, Irina, Ryan, Louise, Ryder, Oliver A, Sabeti, Pardis C, Serres, Aitor, Shapiro, Beth, Smit, Arian FA, Springer, Mark, and Steiner, Cynthia

Subjects
Biological Sciences, Genetics, Pediatric, Human Genome, Rare Diseases, Congenital Structural Anomalies, Underpinning research, 1.1 Normal biological development and functioning, Neurological, Mental health, Animals, Enhancer Elements, Genetic, Genetic Variation, Machine Learning, Mammals, Phenotype, Zoonomia Consortium**, General Science & Technology
Abstract

Protein-coding differences between species often fail to explain phenotypic diversity, suggesting the involvement of genomic elements that regulate gene expression such as enhancers. Identifying associations between enhancers and phenotypes is challenging because enhancer activity can be tissue-dependent and functionally conserved despite low sequence conservation. We developed the Tissue-Aware Conservation Inference Toolkit (TACIT) to associate candidate enhancers with species' phenotypes using predictions from machine learning models trained on specific tissues. Applying TACIT to associate motor cortex and parvalbumin-positive interneuron enhancers with neurological phenotypes revealed dozens of enhancer-phenotype associations, including brain size-associated enhancers that interact with genes implicated in microcephaly or macrocephaly. TACIT provides a foundation for identifying enhancers associated with the evolution of any convergently evolved phenotype in any large group of species with aligned genomes.

Published
2023

8. Three-dimensional genome rewiring in loci with human accelerated regions

Author

Keough, Kathleen C, Whalen, Sean, Inoue, Fumitaka, Przytycki, Pawel F, Fair, Tyler, Deng, Chengyu, Steyert, Marilyn, Ryu, Hane, Lindblad-Toh, Kerstin, Karlsson, Elinor, Nowakowski, Tomasz, Ahituv, Nadav, Pollen, Alex, Pollard, Katherine S, Andrews, Gregory, Armstrong, Joel C, Bianchi, Matteo, Birren, Bruce W, Bredemeyer, Kevin R, Breit, Ana M, Christmas, Matthew J, Clawson, Hiram, Damas, Joana, Di Palma, Federica, Diekhans, Mark, Dong, Michael X, Eizirik, Eduardo, Fan, Kaili, Fanter, Cornelia, Foley, Nicole M, Forsberg-Nilsson, Karin, Garcia, Carlos J, Gatesy, John, Gazal, Steven, Genereux, Diane P, Goodman, Linda, Grimshaw, Jenna, Halsey, Michaela K, Harris, Andrew J, Hickey, Glenn, Hiller, Michael, Hindle, Allyson G, Hubley, Robert M, Hughes, Graham M, Johnson, Jeremy, Juan, David, Kaplow, Irene M, Karlsson, Elinor K, Kirilenko, Bogdan, Koepfli, Klaus-Peter, Korstian, Jennifer M, Kowalczyk, Amanda, Kozyrev, Sergey V, Lawler, Alyssa J, Lawless, Colleen, Lehmann, Thomas, Levesque, Danielle L, Lewin, Harris A, Li, Xue, Lind, Abigail, Mackay-Smith, Ava, Marinescu, Voichita D, Marques-Bonet, Tomas, Mason, Victor C, Meadows, Jennifer RS, Meyer, Wynn K, Moore, Jill E, Moreira, Lucas R, Moreno-Santillan, Diana D, Morrill, Kathleen M, Muntané, Gerard, Murphy, William J, Navarro, Arcadi, Nweeia, Martin, Ortmann, Sylvia, Osmanski, Austin, Paten, Benedict, Paulat, Nicole S, Pfenning, Andreas R, Phan, BaDoi N, Pratt, Henry E, Ray, David A, Reilly, Steven K, Rosen, Jeb R, Ruf, Irina, Ryan, Louise, Ryder, Oliver A, Sabeti, Pardis C, Schäffer, Daniel E, Serres, Aitor, Shapiro, Beth, Smit, Arian FA, Springer, Mark, Srinivasan, Chaitanya, Steiner, Cynthia, Storer, Jessica M, and Sullivan, Kevin AM

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Stem Cell Research, Human Genome, Biotechnology, Underpinning research, 1.1 Normal biological development and functioning, Animals, Humans, Chromatin, Genome, Human, Genomics, Pan troglodytes, Genetic Loci, Neurogenesis, Deep Learning, Zoonomia Consortium§, General Science & Technology
Abstract

Human accelerated regions (HARs) are conserved genomic loci that evolved at an accelerated rate in the human lineage and may underlie human-specific traits. We generated HARs and chimpanzee accelerated regions with an automated pipeline and an alignment of 241 mammalian genomes. Combining deep learning with chromatin capture experiments in human and chimpanzee neural progenitor cells, we discovered a significant enrichment of HARs in topologically associating domains containing human-specific genomic variants that change three-dimensional (3D) genome organization. Differential gene expression between humans and chimpanzees at these loci suggests rewiring of regulatory interactions between HARs and neurodevelopmental genes. Thus, comparative genomics together with models of 3D genome folding revealed enhancer hijacking as an explanation for the rapid evolution of HARs.

Published
2023

9. Leveraging base-pair mammalian constraint to understand genetic variation and human disease

Author

Sullivan, Patrick F, Meadows, Jennifer RS, Gazal, Steven, Phan, BaDoi N, Li, Xue, Genereux, Diane P, Dong, Michael X, Bianchi, Matteo, Andrews, Gregory, Sakthikumar, Sharadha, Nordin, Jessika, Roy, Ananya, Christmas, Matthew J, Marinescu, Voichita D, Wang, Chao, Wallerman, Ola, Xue, James, Yao, Shuyang, Sun, Quan, Szatkiewicz, Jin, Wen, Jia, Huckins, Laura M, Lawler, Alyssa, Keough, Kathleen C, Zheng, Zhili, Zeng, Jian, Wray, Naomi R, Li, Yun, Johnson, Jessica, Chen, Jiawen, Paten, Benedict, Reilly, Steven K, Hughes, Graham M, Weng, Zhiping, Pollard, Katherine S, Pfenning, Andreas R, Forsberg-Nilsson, Karin, Karlsson, Elinor K, Lindblad-Toh, Kerstin, Armstrong, Joel C, Birren, Bruce W, Bredemeyer, Kevin R, Breit, Ana M, Clawson, Hiram, Damas, Joana, Di Palma, Federica, Diekhans, Mark, Eizirik, Eduardo, Fan, Kaili, Fanter, Cornelia, Foley, Nicole M, Garcia, Carlos J, Gatesy, John, Goodman, Linda, Grimshaw, Jenna, Halsey, Michaela K, Harris, Andrew J, Hickey, Glenn, Hiller, Michael, Hindle, Allyson G, Hubley, Robert M, Johnson, Jeremy, Juan, David, Kaplow, Irene M, Kirilenko, Bogdan, Koepfli, Klaus-Peter, Korstian, Jennifer M, Kowalczyk, Amanda, Kozyrev, Sergey V, Lawler, Alyssa J, Lawless, Colleen, Lehmann, Thomas, Levesque, Danielle L, Lewin, Harris A, Lind, Abigail, Mackay-Smith, Ava, Marques-Bonet, Tomas, Mason, Victor C, Meyer, Wynn K, Moore, Jill E, Moreira, Lucas R, Moreno-Santillan, Diana D, Morrill, Kathleen M, Muntané, Gerard, Murphy, William J, and Navarro, Arcadi

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Biotechnology, Clinical Research, Human Genome, Brain Disorders, Generic health relevance, Animals, Humans, Biological Evolution, Genetic Variation, Genome, Human, Genome-Wide Association Study, Genomics, Molecular Sequence Annotation, Polymorphism, Single Nucleotide, Disease, Zoonomia Consortium§, General Science & Technology
Abstract

Thousands of genomic regions have been associated with heritable human diseases, but attempts to elucidate biological mechanisms are impeded by an inability to discern which genomic positions are functionally important. Evolutionary constraint is a powerful predictor of function, agnostic to cell type or disease mechanism. Single-base phyloP scores from 240 mammals identified 3.3% of the human genome as significantly constrained and likely functional. We compared phyloP scores to genome annotation, association studies, copy-number variation, clinical genetics findings, and cancer data. Constrained positions are enriched for variants that explain common disease heritability more than other functional annotations. Our results improve variant annotation but also highlight that the regulatory landscape of the human genome still needs to be further explored and linked to disease.

Published
2023

13. Evolution of the ancestral mammalian karyotype and syntenic regions

Author

Damas, Joana, Corbo, Marco, Kim, Jaebum, Turner-Maier, Jason, Farré, Marta, Larkin, Denis M, Ryder, Oliver A, Steiner, Cynthia, Houck, Marlys L, Hall, Shaune, Shiue, Lily, Thomas, Stephen, Swale, Thomas, Daly, Mark, Korlach, Jonas, Uliano-Silva, Marcela, Mazzoni, Camila J, Birren, Bruce W, Genereux, Diane P, Johnson, Jeremy, Lindblad-Toh, Kerstin, Karlsson, Elinor K, Nweeia, Martin T, Johnson, Rebecca N, Lewin, Harris A, Andrews, Gregory, Armstrong, Joel C, Bianchi, Matteo, Bredemeyer, Kevin R, Breit, Ana M, Christmas, Matthew J, Clawson, Hiram, Di Palma, Federica, Diekhans, Mark, Dong, Michael X, Eizirik, Eduardo, Fan, Kaili, Fanter, Cornelia, Foley, Nicole M, Forsberg-Nilsson, Karin, Garcia, Carlos J, Gatesy, John, Gazal, Steven, Goodman, Linda, Grimshaw, Jenna, Halsey, Michaela K, Harris, Andrew J, Hickey, Glenn, Hiller, Michael, Hindle, Allyson G, Hubley, Robert M, Hughes, Graham M, Juan, David, Kaplow, Irene M, Keough, Kathleen C, Kirilenko, Bogdan, Koepfli, Klaus-Peter, Korstian, Jennifer M, Kowalczyk, Amanda, Kozyrev, Sergey V, Lawler, Alyssa J, Lawless, Colleen, Lehmann, Thomas, Levesque, Danielle L, Li, Xue, Lind, Abigail, Mackay-Smith, Ava, Marinescu, Voichita D, Marques-Bonet, Tomas, Mason, Victor C, Meadows, Jennifer RS, Meyer, Wynn K, Moore, Jill E, Moreira, Lucas R, Moreno-Santillan, Diana D, Morrill, Kathleen M, Muntané, Gerard, Murphy, William J, Navarro, Arcadi, Nweeia, Martin, Ortmann, Sylvia, Osmanski, Austin, Paten, Benedict, Paulat, Nicole S, Pfenning, Andreas R, Phan, BaDoi N, Pollard, Katherine S, Pratt, Henry E, Ray, David A, Reilly, Steven K, Rosen, Jeb R, Ruf, Irina, and Ryan, Louise

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Evolutionary Biology, Genetics, Human Genome, 1.1 Normal biological development and functioning, Generic health relevance, Animals, Cattle, Chromosomes, Mammalian, Eutheria, Evolution, Molecular, Humans, Karyotype, Mammals, Phylogeny, Sloths, Synteny, chromosome evolution, mammals, synteny conservation, ancestral genome reconstruction, topologically associating domains, Zoonomia Consortium
Abstract

Decrypting the rearrangements that drive mammalian chromosome evolution is critical to understanding the molecular bases of speciation, adaptation, and disease susceptibility. Using 8 scaffolded and 26 chromosome-scale genome assemblies representing 23/26 mammal orders, we computationally reconstructed ancestral karyotypes and syntenic relationships at 16 nodes along the mammalian phylogeny. Three different reference genomes (human, sloth, and cattle) representing phylogenetically distinct mammalian superorders were used to assess reference bias in the reconstructed ancestral karyotypes and to expand the number of clades with reconstructed genomes. The mammalian ancestor likely had 19 pairs of autosomes, with nine of the smallest chromosomes shared with the common ancestor of all amniotes (three still conserved in extant mammals), demonstrating a striking conservation of synteny for ∼320 My of vertebrate evolution. The numbers and types of chromosome rearrangements were classified for transitions between the ancestral mammalian karyotype, descendent ancestors, and extant species. For example, 94 inversions, 16 fissions, and 14 fusions that occurred over 53 My differentiated the therian from the descendent eutherian ancestor. The highest breakpoint rate was observed between the mammalian and therian ancestors (3.9 breakpoints/My). Reconstructed mammalian ancestor chromosomes were found to have distinct evolutionary histories reflected in their rates and types of rearrangements. The distributions of genes, repetitive elements, topologically associating domains, and actively transcribed regions in multispecies homologous synteny blocks and evolutionary breakpoint regions indicate that purifying selection acted over millions of years of vertebrate evolution to maintain syntenic relationships of developmentally important genes and regulatory landscapes of gene-dense chromosomes.

Published
2022

18. The Relationship of Openness, Difference, and Solidarity to Cultural Integration amid Cultural Fluidity: A Grounded Theory Approach

Author

Harris, Andrew J., Feathers, Claire E., and Musgrave, Jesse

Abstract

Cultural integration is vital to the successful navigation of prolonged cross-cultural experiences; however, the experiences of cultural fluidity such as temporary repatriation to the original culture or a home life that is drastically different from the surrounding culture can frustrate integration and prompt the abandonment of its positive effects. Using grounded theory methodology, we examine how openness to a culture, recognition of differences, and expressions of solidarity contribute to successful cultural integration. According to the present study's emerging theory, when culturally fluid individuals (CFIs) are confronted with the possibility of cultural integration, an increase in openness to a new culture, self-recognition of the CFI's differentiation from it, and a desire for expressing solidarity with it help the CFI to successfully integrate elements of the new culture with their existing identity. Findings also include the various levels of cultural integration adopted by those individuals who live in culturally fluid situations.

Published
2021

26. Ash plume properties retrieved from infrared images: a forward and inverse modeling approach

Author

Cerminara, Matteo, Ongaro, Tomaso Esposti, Valade, Sébastien, and Harris, Andrew J. L.

Subjects
Physics - Geophysics, Physics - Atmospheric and Oceanic Physics, Physics - Data Analysis, Statistics and Probability, Physics - Fluid Dynamics, Physics - Instrumentation and Detectors, 76T15, 78-05, 86-02, 86-05, 86-08
Abstract

We present a coupled fluid-dynamic and electromagnetic model for volcanic ash plumes. In a forward approach, the model is able to simulate the plume dynamics from prescribed input flow conditions and generate the corresponding synthetic thermal infrared (TIR) image, allowing a comparison with field-based observations. An inversion procedure is then developed to retrieve ash plume properties from TIR images. The adopted fluid-dynamic model is based on a one-dimensional, stationary description of a self-similar (top-hat) turbulent plume, for which an asymptotic analytical solution is obtained. The electromagnetic emission/absorption model is based on the Schwarzschild's equation and on Mie's theory for disperse particles, assuming that particles are coarser than the radiation wavelength and neglecting scattering. [...] Application of the inversion procedure to an ash plume at Santiaguito volcano (Guatemala) has allowed us to retrieve the main plume input parameters, namely the initial radius $b_0$, velocity $U_0$, temperature $T_0$, gas mass ratio $n_0$, entrainment coefficient $k$ and their related uncertainty. Moreover, coupling with the electromagnetic model, we have been able to obtain a reliable estimate of the equivalent Sauter diameter $d_s$ of the total particle size distribution. The presented method is general and, in principle, can be applied to the spatial distribution of particle concentration and temperature obtained by any fluid-dynamic model, either integral or multidimensional, stationary or time-dependent, single or multiphase. The method discussed here is fast and robust, thus indicating potential for applications to real-time estimation of ash mass flux and particle size distribution, which is crucial for model-based forecasts of the volcanic ash dispersal process., Comment: 41 pages, 13 figures, submitted paper

Published
2014
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38. A genomic timescale for placental mammal evolution

Author

Foley, Nicole M., Mason, Victor C., Harris, Andrew J., Bredemeyer, Kevin R., Damas, Joana, Lewin, Harris A., Eizirik, Eduardo, Gatesy, John, Karlsson, Elinor K., Lindblad-Toh, Kerstin, Zoonomia Consortium, Zoonomia Consortium, Springer, Mark S., Murphy, William J., Foley, Nicole M., Mason, Victor C., Harris, Andrew J., Bredemeyer, Kevin R., Damas, Joana, Lewin, Harris A., Eizirik, Eduardo, Gatesy, John, Karlsson, Elinor K., Lindblad-Toh, Kerstin, Zoonomia Consortium, Zoonomia Consortium, Springer, Mark S., and Murphy, William J.

Abstract

The precise pattern and timing of speciation events that gave rise to all living placental mammals remain controversial. We provide a comprehensive phylogenetic analysis of genetic variation across an alignment of 241 placental mammal genome assemblies, addressing prior concerns regarding limited genomic sampling across species. We compared neutral genome-wide phylogenomic signals using concatenation and coalescent-based approaches, interrogated phylogenetic variation across chromosomes, and analyzed extensive catalogs of structural variants. Interordinal relationships exhibit relatively low rates of phylogenomic conflict across diverse datasets and analytical methods. Conversely, X-chromosome versus autosome conflicts characterize multiple independent clades that radiated during the Cenozoic. Genomic time trees reveal an accumulation of cladogenic events before and immediately after the Cretaceous-Paleogene (K-Pg) boundary, implying important roles for Cretaceous continental vicariance and the K-Pg extinction in the placental radiation.

Published
2023
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39. Inundation and evacuation of shoreline populations during landslide-triggered tsunami: An integrated numerical and statistical hazard assessment.

Author

Bonilauri, Emmie M., Aaron, Catherine, Cerminara, Matteo, Paris, Raphaël, Ongaro, Tomaso Esposti, Calusi, Benedetta, Mangione, Domenico, and Harris, Andrew J. L.

Subjects
TSUNAMI warning systems, LANDSLIDE hazard analysis, TSUNAMIS, RISK assessment, DEBRIS avalanches, FLOODS, SHORELINES
Abstract

The volcanic island of Stromboli (Southern Tyrrhenian sea, Italy) is renowned for its persistent, periodic, low-intensity explosive activity, whose spectacular manifestations attract tens of thousands of tourists every year. However, sporadic more intense major explosive and effusive eruptions, and paroxysms, pose serious threats to the island. In addition to direct hazards, granular slides of volcanic debris and pyroclastic avalanches, which can rapidly reach the sea potentially generating tsunamis, are often associated with such unpredictable eruptive activity. Due to the very fast propagation of the tsunami around the island, and the consequent short tsunami warning time (ranging from less than a minute to only a few minutes) mitigation efforts and evacuation from the Strombolian coast must be carefully planned. In this paper, we describe a new, GIS-assisted procedure that allows us to combine the outputs of an ensemble of 156 pre-computed landslide-generated tsunami hazard scenarios (with variable landslide volume, position, and density), statistical exposure data (i.e., the number of inhabitants and tourists) and digital geographic information, to obtain a quantitative (scenario-based) risk analysis. By means of the analysis of the road network and coastal morphology, we develop a model with routes and times to reach a safe area from every pixel in the inundated area, and appraisal for the time needed to escape versus the wave arrival time. This allows us to evaluate and quantify the effectiveness of potential risk mitigation by means of evacuation. The creation of an impact score linking the predicted inundation extent and the tsunami warning signals is intended, in the long term, to predict the intensity of future tsunamis, and to adapt evacuation plans accordingly. The model, here applied to Stromboli, is general, and can be applied to other volcanic islands. Evacuating an island hosting several thousand tourists every summer with very little warning time supports the absolute necessity for such mitigation efforts, aimed at informing hazard planners and managers, and all other stakeholders. [ABSTRACT FROM AUTHOR]

Published
2024
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40. Sex Offense Management and Supervision: A Framework for Advancing Research and Evidence-Informed Practice.

Author

Harris, Andrew J. and Kras, Kimberly R.

Subjects
SEX crimes, CRIMINAL justice policy, SEXUAL assault, PRAXIS (Process), SEX offenders, GOVERNMENT policy
Abstract

Since the 1990s, the post-conviction management of individuals with histories of sexual offending has occupied a prominent place in U.S. criminal justice policy and practice. With over 200,000 such individuals under supervision nationwide, probation and parole agencies have deployed a range of specialized models of sex offender management and supervision (SOMS) to manage this "high stakes" population. Yet despite significant shifts in community supervision paradigms and research advances affecting SOMS practices over the past three decades, the body of research concerning the integration of evidence into these practices remains outdated and underdeveloped. In response to this need, the current article introduces the SOMS Framework, developed based on a multi-method investigation into the current state of SOMS practice. The framework aligns elements of the policy and practice environment with constructs elucidated through insights drawn from implementation science and knowledge utilization scholarship. Through this praxis orientation, the framework is intended to serve as a roadmap for use in the multiple contexts, including public policy development, agency-level planning and evaluation, and scholarly research. [ABSTRACT FROM AUTHOR]

Published
2024
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