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Padilla-Morales B, Acuña-Alonzo AP, Kilili H, Castillo-Morales A, Díaz-Barba K, Maher KH, Fabian L, Mourkas E, Székely T, Serrano-Meneses MA, Cortez D, Ancona S, Urrutia AO. Sexual size dimorphism in mammals is associated with changes in the size of gene families related to brain development. Nat Commun 2024; 15:6257. [PMID: 39048570 DOI: 10.1038/s41467-024-50386-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 07/03/2024] [Indexed: 07/27/2024] Open
Abstract
In mammals, sexual size dimorphism often reflects the intensity of sexual selection, yet its connection to genomic evolution remains unexplored. Gene family size evolution can reflect shifts in the relative importance of different molecular functions. Here, we investigate the associate between brain development gene repertoire to sexual size dimorphism using 124 mammalian species. We reveal significant changes in gene family size associations with sexual size dimorphism. High levels of dimorphism correlate with an expansion of gene families enriched in olfactory sensory perception and a contraction of gene families associated with brain development functions, many of which exhibited particularly high expression in the human adult brain. These findings suggest a relationship between intense sexual selection and alterations in gene family size. These insights illustrate the complex interplay between sexual dimorphism, gene family size evolution, and their roles in mammalian brain development and function, offering a valuable understanding of mammalian genome evolution.
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Affiliation(s)
- Benjamin Padilla-Morales
- Milner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK.
| | | | - Huseyin Kilili
- Milner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
| | | | - Karina Díaz-Barba
- Milner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
- Instituto de Ecología, UNAM, Mexico city, 04510, Mexico
- Licenciatura en ciencias genómicas, UNAM, Cuernavaca, 62210, México
| | - Kathryn H Maher
- NERC Environmental Omics Facility, Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, Sheffield, S10 2TN, UK
| | - Laurie Fabian
- Milner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
| | - Evangelos Mourkas
- Zoonosis Science Centre, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Tamás Székely
- Milner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
| | - Martin-Alejandro Serrano-Meneses
- Departamento de Ciencias Químico Biológicas, Universidad de las Américas Puebla, Sta. Catarina Mártir, San Andrés Cholula, Puebla, 72810, México
| | - Diego Cortez
- Centro de Ciencias Genómicas, UNAM, Cuernavaca, 62210, México
| | - Sergio Ancona
- Instituto de Ecología, Departamento de Ecología Evolutiva, UNAM, México City, 04510, México
| | - Araxi O Urrutia
- Milner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK.
- Instituto de Ecología, UNAM, Mexico city, 04510, Mexico.
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Akyüz K, Goisauf M, Chassang G, Kozera Ł, Mežinska S, Tzortzatou-Nanopoulou O, Mayrhofer MT. Post-identifiability in changing sociotechnological genomic data environments. BIOSOCIETIES 2023:1-28. [PMID: 37359141 PMCID: PMC10042674 DOI: 10.1057/s41292-023-00299-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/13/2023] [Indexed: 03/30/2023]
Abstract
Data practices in biomedical research often rely on standards that build on normative assumptions regarding privacy and involve 'ethics work.' In an increasingly datafied research environment, identifiability gains a new temporal and spatial dimension, especially in regard to genomic data. In this paper, we analyze how genomic identifiability is considered as a specific data issue in a recent controversial case: publication of the genome sequence of the HeLa cell line. Considering developments in the sociotechnological and data environment, such as big data, biomedical, recreational, and research uses of genomics, our analysis highlights what it means to be (re-)identifiable in the postgenomic era. By showing how the risk of genomic identifiability is not a specificity of the HeLa controversy, but rather a systematic data issue, we argue that a new conceptualization is needed. With the notion of post-identifiability as a sociotechnological situation, we show how past assumptions and ideas about future possibilities come together in the case of genomic identifiability. We conclude by discussing how kinship, temporality, and openness are subject to renewed negotiations along with the changing understandings and expectations of identifiability and status of genomic data.
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Affiliation(s)
- Kaya Akyüz
- Department of Science and Technology Studies, University of Vienna, Universitätsstraße 7/Stiege II/6, Stock (NIG), 1010 Vienna, Austria
- BBMRI-ERIC, Graz, Austria
| | - Melanie Goisauf
- Department of Science and Technology Studies, University of Vienna, Universitätsstraße 7/Stiege II/6, Stock (NIG), 1010 Vienna, Austria
- BBMRI-ERIC, Graz, Austria
| | - Gauthier Chassang
- CERPOP, Université de Toulouse, Inserm, Université Paul Sabatier, Toulouse, France
- Plateforme GenoToul Societal “Ethique et Biosciences”, Toulouse, France
| | | | - Signe Mežinska
- Institute of Clinical and Preventive Medicine, University of Latvia, Riga, Latvia
- BBMRI.LV, Riga, Latvia
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A special issue of Essays in Biochemistry on evolutionary developmental biology. Essays Biochem 2022; 66:703-705. [PMID: 36468772 DOI: 10.1042/ebc20220200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 10/12/2022] [Accepted: 10/18/2022] [Indexed: 12/12/2022]
Abstract
Evolutionary developmental biology (or evo devo) is a broad field that aims to understand how developmental processes evolve and how this underpins phenotypic change and organismal diversification. This encompasses a need to understand theoretical concepts in evolutionary biology and how tissues, cells, genes, proteins and regulatory elements function and evolve. The articles in this special issue review key topics in the field of evo devo including advances in theory and methodology as well as our latest knowledge about molecular, cellular and organismal functionality and diversification.
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Akinci E, Hamilton MC, Khowpinitchai B, Sherwood RI. Using CRISPR to understand and manipulate gene regulation. Development 2021; 148:dev182667. [PMID: 33913466 PMCID: PMC8126405 DOI: 10.1242/dev.182667] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Understanding how genes are expressed in the correct cell types and at the correct level is a key goal of developmental biology research. Gene regulation has traditionally been approached largely through observational methods, whereas perturbational approaches have lacked precision. CRISPR-Cas9 has begun to transform the study of gene regulation, allowing for precise manipulation of genomic sequences, epigenetic functionalization and gene expression. CRISPR-Cas9 technology has already led to the discovery of new paradigms in gene regulation and, as new CRISPR-based tools and methods continue to be developed, promises to transform our knowledge of the gene regulatory code and our ability to manipulate cell fate. Here, we discuss the current and future application of the emerging CRISPR toolbox toward predicting gene regulatory network behavior, improving stem cell disease modeling, dissecting the epigenetic code, reprogramming cell fate and treating diseases of gene dysregulation.
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Affiliation(s)
- Ersin Akinci
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Agricultural Biotechnology, Faculty of Agriculture, Akdeniz University, Antalya, 07070, Turkey
| | - Marisa C. Hamilton
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Benyapa Khowpinitchai
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Richard I. Sherwood
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Hubrecht Institute, 3584 CT, Utrecht, The Netherlands
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Liu J, Robinson-Rechavi M. Adaptive Evolution of Animal Proteins over Development: Support for the Darwin Selection Opportunity Hypothesis of Evo-Devo. Mol Biol Evol 2019; 35:2862-2872. [PMID: 30184095 PMCID: PMC6278863 DOI: 10.1093/molbev/msy175] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
A driving hypothesis of evolutionary developmental biology is that animal morphological diversity is shaped both by adaptation and by developmental constraints. Here, we have tested Darwin’s “selection opportunity” hypothesis, according to which high evolutionary divergence in late development is due to strong positive selection. We contrasted it to a “developmental constraint” hypothesis, according to which late development is under relaxed negative selection. Indeed, the highest divergence between species, both at the morphological and molecular levels, is observed late in embryogenesis and postembryonically. To distinguish between adaptation and relaxation hypotheses, we investigated the evidence of positive selection on protein-coding genes in relation to their expression over development, in fly Drosophila melanogaster, zebrafish Danio rerio, and mouse Mus musculus. First, we found that genes specifically expressed in late development have stronger signals of positive selection. Second, over the full transcriptome, genes with evidence for positive selection trend to be expressed in late development. Finally, genes involved in pathways with cumulative evidence of positive selection have higher expression in late development. Overall, there is a consistent signal that positive selection mainly affects genes and pathways expressed in late embryonic development and in adult. Our results imply that the evolution of embryogenesis is mostly conservative, with most adaptive evolution affecting some stages of postembryonic gene expression, and thus postembryonic phenotypes. This is consistent with the diversity of environmental challenges to which juveniles and adults are exposed.
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Affiliation(s)
- Jialin Liu
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Marc Robinson-Rechavi
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
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