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Polinski JM, Castellano KR, Buckley KM, Bodnar AG. Genomic signatures of exceptional longevity and negligible aging in the long-lived red sea urchin. Cell Rep 2024; 43:114021. [PMID: 38564335 DOI: 10.1016/j.celrep.2024.114021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 02/12/2024] [Accepted: 03/15/2024] [Indexed: 04/04/2024] Open
Abstract
The red sea urchin (Mesocentrotus franciscanus) is one of the Earth's longest-living animals, reported to live more than 100 years with indeterminate growth, life-long reproduction, and no increase in mortality rate with age. To understand the genetic underpinnings of longevity and negligible aging, we constructed a chromosome-level assembly of the red sea urchin genome and compared it to that of short-lived sea urchin species. Genome-wide syntenic alignments identified chromosome rearrangements that distinguish short- and long-lived species. Expanded gene families in long-lived species play a role in innate immunity, sensory nervous system, and genome stability. An integrated network of genes under positive selection in the red sea urchin was involved in genomic regulation, mRNA fidelity, protein homeostasis, and mitochondrial function. Our results implicated known longevity genes in sea urchin longevity but also revealed distinct molecular signatures that may promote long-term maintenance of tissue homeostasis, disease resistance, and negligible aging.
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Affiliation(s)
| | | | | | - Andrea G Bodnar
- Gloucester Marine Genomics Institute, Gloucester, MA 01930, USA.
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Gemmell P, Sackton TB, Edwards SV, Liu JS. A phylogenetic method linking nucleotide substitution rates to rates of continuous trait evolution. PLoS Comput Biol 2024; 20:e1011995. [PMID: 38656999 PMCID: PMC11078400 DOI: 10.1371/journal.pcbi.1011995] [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: 11/21/2023] [Revised: 05/08/2024] [Accepted: 03/13/2024] [Indexed: 04/26/2024] Open
Abstract
Genomes contain conserved non-coding sequences that perform important biological functions, such as gene regulation. We present a phylogenetic method, PhyloAcc-C, that associates nucleotide substitution rates with changes in a continuous trait of interest. The method takes as input a multiple sequence alignment of conserved elements, continuous trait data observed in extant species, and a background phylogeny and substitution process. Gibbs sampling is used to assign rate categories (background, conserved, accelerated) to lineages and explore whether the assigned rate categories are associated with increases or decreases in the rate of trait evolution. We test our method using simulations and then illustrate its application using mammalian body size and lifespan data previously analyzed with respect to protein coding genes. Like other studies, we find processes such as tumor suppression, telomere maintenance, and p53 regulation to be related to changes in longevity and body size. In addition, we also find that skeletal genes, and developmental processes, such as sprouting angiogenesis, are relevant.
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Affiliation(s)
- Patrick Gemmell
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
- Department of Statistics, Harvard University, Cambridge, Massachusetts, United States of America
| | - Timothy B. Sackton
- FAS Informatics Group, Harvard University, Cambridge, Massachusetts, United States of America
| | - Scott V. Edwards
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | - Jun S. Liu
- Department of Statistics, Harvard University, Cambridge, Massachusetts, United States of America
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Tong C. Convergent genomics and Arctic adaptation of ruminants. Proc Biol Sci 2024; 291:20232448. [PMID: 38166424 PMCID: PMC10762444 DOI: 10.1098/rspb.2023.2448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 12/04/2023] [Indexed: 01/04/2024] Open
Affiliation(s)
- Chao Tong
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA
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Li S, Vazquez JM, Sudmant PH. The evolution of aging and lifespan. Trends Genet 2023; 39:830-843. [PMID: 37714733 PMCID: PMC11147682 DOI: 10.1016/j.tig.2023.08.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 08/18/2023] [Accepted: 08/21/2023] [Indexed: 09/17/2023]
Abstract
Aging is a nearly inescapable trait among organisms yet lifespan varies tremendously across different species and spans several orders of magnitude in vertebrates alone. This vast phenotypic diversity is driven by distinct evolutionary trajectories and tradeoffs that are reflected in patterns of diversification and constraint in organismal genomes. Age-specific impacts of selection also shape allele frequencies in populations, thus impacting disease susceptibility and environment-specific mortality risk. Further, the mutational processes that spawn this genetic diversity in both germline and somatic cells are strongly influenced by age and life history. We discuss recent advances in our understanding of the evolution of aging and lifespan at organismal, population, and cellular scales, and highlight outstanding questions that remain unanswered.
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Affiliation(s)
- Stacy Li
- Department of Integrative Biology, University of California, Berkeley, CA, USA; Center for Computational Biology, University of California, Berkeley, CA. USA
| | - Juan Manuel Vazquez
- Department of Integrative Biology, University of California, Berkeley, CA, USA
| | - Peter H Sudmant
- Department of Integrative Biology, University of California, Berkeley, CA, USA; Center for Computational Biology, University of California, Berkeley, CA. USA.
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Thomas GWC, Hughes JJ, Kumon T, Berv JS, Nordgren CE, Lampson M, Levine M, Searle JB, Good JM. The genomic landscape, causes, and consequences of extensive phylogenomic discordance in Old World mice and rats. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.28.555178. [PMID: 37693498 PMCID: PMC10491188 DOI: 10.1101/2023.08.28.555178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
A species tree is a central concept in evolutionary biology whereby a single branching phylogeny reflects relationships among species. However, the phylogenies of different genomic regions often differ from the species tree. Although tree discordance is often widespread in phylogenomic studies, we still lack a clear understanding of how variation in phylogenetic patterns is shaped by genome biology or the extent to which discordance may compromise comparative studies. We characterized patterns of phylogenomic discordance across the murine rodents (Old World mice and rats) - a large and ecologically diverse group that gave rise to the mouse and rat model systems. Combining new linked-read genome assemblies for seven murine species with eleven published rodent genomes, we first used ultra-conserved elements (UCEs) to infer a robust species tree. We then used whole genomes to examine finer-scale patterns of discordance and found that phylogenies built from proximate chromosomal regions had similar phylogenies. However, there was no relationship between tree similarity and local recombination rates in house mice, suggesting that genetic linkage influences phylogenetic patterns over deeper timescales. This signal may be independent of contemporary recombination landscapes. We also detected a strong influence of linked selection whereby purifying selection at UCEs led to less discordance, while genes experiencing positive selection showed more discordant and variable phylogenetic signals. Finally, we show that assuming a single species tree can result in high error rates when testing for positive selection under different models. Collectively, our results highlight the complex relationship between phylogenetic inference and genome biology and underscore how failure to account for this complexity can mislead comparative genomic studies.
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Affiliation(s)
- Gregg W. C. Thomas
- Division of Biological Sciences, University of Montana, Missoula, MT, 59801
- Informatics Group, Harvard University, Cambridge, MA, 02138
| | - Jonathan J. Hughes
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, 14853
- Department of Evolution, Ecology, and Organismal Biology, University of California Riverside, Riverside, CA, 92521
| | - Tomohiro Kumon
- Department of Biology, University of Pennsylvania, Philadelphia, PA, 19104
| | - Jacob S. Berv
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, 14853
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109
| | - C. Erik Nordgren
- Department of Biology, University of Pennsylvania, Philadelphia, PA, 19104
| | - Michael Lampson
- Department of Biology, University of Pennsylvania, Philadelphia, PA, 19104
| | - Mia Levine
- Department of Biology, University of Pennsylvania, Philadelphia, PA, 19104
| | - Jeremy B. Searle
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, 14853
| | - Jeffrey M. Good
- Division of Biological Sciences, University of Montana, Missoula, MT, 59801
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Genome Evolution and the Future of Phylogenomics of Non-Avian Reptiles. Animals (Basel) 2023; 13:ani13030471. [PMID: 36766360 PMCID: PMC9913427 DOI: 10.3390/ani13030471] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 01/13/2023] [Accepted: 01/15/2023] [Indexed: 02/01/2023] Open
Abstract
Non-avian reptiles comprise a large proportion of amniote vertebrate diversity, with squamate reptiles-lizards and snakes-recently overtaking birds as the most species-rich tetrapod radiation. Despite displaying an extraordinary diversity of phenotypic and genomic traits, genomic resources in non-avian reptiles have accumulated more slowly than they have in mammals and birds, the remaining amniotes. Here we review the remarkable natural history of non-avian reptiles, with a focus on the physical traits, genomic characteristics, and sequence compositional patterns that comprise key axes of variation across amniotes. We argue that the high evolutionary diversity of non-avian reptiles can fuel a new generation of whole-genome phylogenomic analyses. A survey of phylogenetic investigations in non-avian reptiles shows that sequence capture-based approaches are the most commonly used, with studies of markers known as ultraconserved elements (UCEs) especially well represented. However, many other types of markers exist and are increasingly being mined from genome assemblies in silico, including some with greater information potential than UCEs for certain investigations. We discuss the importance of high-quality genomic resources and methods for bioinformatically extracting a range of marker sets from genome assemblies. Finally, we encourage herpetologists working in genomics, genetics, evolutionary biology, and other fields to work collectively towards building genomic resources for non-avian reptiles, especially squamates, that rival those already in place for mammals and birds. Overall, the development of this cross-amniote phylogenomic tree of life will contribute to illuminate interesting dimensions of biodiversity across non-avian reptiles and broader amniotes.
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