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Olito C, Abbott JK. The evolution of suppressed recombination between sex chromosomes and the lengths of evolutionary strata. Evolution 2025:qpaf045. [PMID: 40324791 DOI: 10.1093/evolut/qpaf045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 01/30/2023] [Accepted: 02/09/2023] [Indexed: 05/07/2025]
Abstract
The idea that sex-differences in selection drive the evolution of suppressed recombination between sex chromosomes is well-developed in population genetics. Yet, despite a now classic body of theory, empirical evidence that sexually antagonistic (SA) selection drives the evolution of recombination arrest remains equivocal and alternative hypotheses underdeveloped. Here, we investigate whether the length of "evolutionary strata" formed by chromosomal inversions (or other large-effect recombination modifiers) expanding the nonrecombining sex-linked region (SLR) on sex chromosomes can be informative of how selection influenced their fixation. We develop population genetic models to show how the length of an SLR-expanding inversion and the presence of partially recessive deleterious mutational variation affect the fixation probability of three different classes of inversions: (i) intrinsically neutral, (ii) directly beneficial (i.e., due to breakpoint or positional effects), and (iii) those capturing SA loci. Our models indicate that inversions capturing an SA locus initially in linkage disequilibrium with the ancestral SLR exhibit a strong fixation bias toward small inversions, while neutral, beneficial, and inversions capturing a genetically unlinked SA locus tend to favor larger inversions and exhibit similar distributions of fixed inversion lengths. The footprint of evolutionary stratum size left behind by different selection regimes is strongly influenced by parameters affecting the deleterious mutation load, the physical position of the ancestral SLR, and the distribution of new inversion lengths.
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Affiliation(s)
- Colin Olito
- Department of Biology, Division of Biodiversity and Evolution, Lund University, Lund, Sweden
| | - Jessica K Abbott
- Department of Biology, Division of Biodiversity and Evolution, Lund University, Lund, Sweden
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2
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Kariyayama H, Kawashima T, Wada H, Ozaki H. Domain-Shuffling in the Evolution of Cyclostomes and Gnathostomes. JOURNAL OF EXPERIMENTAL ZOOLOGY. PART B, MOLECULAR AND DEVELOPMENTAL EVOLUTION 2025; 344:59-79. [PMID: 39629881 PMCID: PMC11788884 DOI: 10.1002/jez.b.23282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 11/06/2024] [Accepted: 11/16/2024] [Indexed: 02/04/2025]
Abstract
Vertebrates acquired various novel traits that were pivotal in their morphological evolution. Domain shuffling, rearrangements of functional domains between genes, is a key molecular mechanism in deuterostome evolution. However, comprehensive studies focusing on early vertebrates are lacking. With advancements in genomic studies, the genomes of early vertebrate groups and cyclostomes are now accessible, enabling detailed comparative analysis while considering the timing of gene acquisition during evolution. Here, we compared 22 metazoans, including four cyclostomes, to identify genes containing novel domain architectures acquired via domain-shuffling (DSO-Gs), in the common ancestor of vertebrates, gnathostomes, and cyclostomes. We found that DSO-Gs in the common ancestor of vertebrates were associated with novel vertebrate characteristics and those in the common ancestor of gnathostomes correlated with gnathostome-specific traits. Notably, several DSO-Gs acquired in common ancestors of vertebrates have been linked to myelination, a distinct characteristic of gnathostomes. Additionally, in situ hybridization revealed specific expression patterns for the three vertebrate DSO-Gs in cyclostomes, supporting their potential functions. Our findings highlight the significance of DSO-Gs in the emergence of novel traits in the common ancestors of vertebrates, gnathostomes, and cyclostomes.
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Grants
- The study was supported by Japan Society for the Promotion of Science (23128502, 15KT0074, 18H04004, 19K20394, and 22K17992) and Japan Science, Technology Agency (JPMJSP2124), and Japan Agency for Medical Research and Development (JP21zf0127005).
- The study was supported by Japan Society for the Promotion of Science (23128502, 15KT0074, 18H04004, 19K20394, and 22K17992) and Japan Science, Technology Agency (JPMJSP2124), and Japan Agency for Medical Research and Development (JP21zf0127005).
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Affiliation(s)
- Hirofumi Kariyayama
- Graduate School of Comprehensive Human SciencesUniversity of TsukubaTsukubaIbarakiJapan
| | - Takeshi Kawashima
- Department of GeneticsThe Graduate University for Advanced Studies, SOKENDAIMishimaShizuokaJapan
- National Institute of GeneticsMishimaShizuokaJapan
| | - Hiroshi Wada
- Institute of Life and Environmental SciencesUniversity of TsukubaTsukubaIbarakiJapan
| | - Haruka Ozaki
- Bioinformatics Laboratory, Institute of MedicineUniversity of TsukubaTsukubaIbarakiJapan
- Center for Artificial Intelligence ResearchUniversity of TsukubaTsukubaIbarakiJapan
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3
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Kartout-Benmessaoud Y, Ouchia-Benissad S, Mahiddine-Aoudjit L, Ladjali-Mohammedi K. Highlighting chromosomal rearrangements of five species of Galliformes (Domestic fowl, Common and Japanese quail, Barbary and Chukar partridge) and the Houbara bustard, an endangered Otidiformes: banding cytogenetic is a powerful tool. COMPARATIVE CYTOGENETICS 2024; 18:213-237. [PMID: 39664601 PMCID: PMC11632352 DOI: 10.3897/compcytogen.18.135056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Accepted: 10/31/2024] [Indexed: 12/13/2024]
Abstract
Birds are one of the most diverse groups among terrestrial vertebrates. They evolved from theropod dinosaurs, are closely related to the sauropsid group and separated from crocodiles about 240 million years ago. According to the IUCN, 12% of bird populations are threatened with potential extinction. Classical cytogenetics remains a powerful tool for comparing bird genomes and plays a crucial role in the preservation populations of endangered species. It thus makes it possible to detect chromosomal abnormalities responsible for early embryonic mortalities. Thus, in this work, we have provided new information on part of the evolutionary history by analysing high-resolution GTG-banded chromosomes to detect inter- and intrachromosomal rearrangements in six species. Indeed, the first eight autosomal pairs and the sex chromosomes of the domestic fowl Gallusgallusdomesticus Linnaeus, 1758 were compared with five species, four of which represent the order Galliformes (Common and Japanese quail, Gambras and Chukar partridge) and one Otidiformes species (Houbara bustard). Our findings suggest a high degree of conservation of the analysed ancestral chromosomes of the four Galliformes species, with the exception of (double, terminal, para and pericentric) inversions, deletion and the formation of neocentromeres (1, 2, 4, 7, 8, Z and W chromosomes). In addition to the detected rearrangements, reorganisation of the Houbara bustard chromosomes mainly included fusions and fissions involving both macro- and microchromosomes (especially on 2, 4 and Z chromosomes). We also found interchromosomal rearrangements involving shared microchromosomes (10, 11, 13, 14 and 19) between the two analysed avian orders. These rearrangements confirm that the structure of avian karyotypes will be more conserved at the interchromosomal but not at intrachromosomal scale. The appearance ofa small number of inter- and intrachromosomal rearrangements that occurred during evolution suggests a high degree of conservatism of genome organisation in these six species studied. A summary diagram of the rearrangements detected in this study is proposed to explain the chronology of the appearance of various evolutionary events starting from the ancestral karyotype.
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Affiliation(s)
- Yasmine Kartout-Benmessaoud
- Faculty of Biological Sciences, University of Sciences and Technology Houari Boumediene (USTHB), Laboratory of Cellular and Molecular Biology, Team of Developmental Genetics. PO box 32 El-Alia, Bab-Ezzouar, 16110, Algiers, AlgeriaUniversity of Sciences and Technology Houari Boumediene (USTHB)AlgiersAlgeria
- Faculty of Nature and Life Sciences, Department of Physico-Chemical Biology, University Abderrahmane Mira, Campus Targa Ouzemour, 06000, Bejaia, AlgeriaUniversity Abderrahmane MiraBejaiaAlgeria
| | - Siham Ouchia-Benissad
- Faculty of Biological Sciences, University of Sciences and Technology Houari Boumediene (USTHB), Laboratory of Cellular and Molecular Biology, Team of Developmental Genetics. PO box 32 El-Alia, Bab-Ezzouar, 16110, Algiers, AlgeriaUniversity of Sciences and Technology Houari Boumediene (USTHB)AlgiersAlgeria
| | - Leila Mahiddine-Aoudjit
- Faculty of Biological Sciences, University of Sciences and Technology Houari Boumediene (USTHB), Laboratory of Cellular and Molecular Biology, Team of Developmental Genetics. PO box 32 El-Alia, Bab-Ezzouar, 16110, Algiers, AlgeriaUniversity of Sciences and Technology Houari Boumediene (USTHB)AlgiersAlgeria
- Department of Biology, Faculty of Science, M'Hamed Bougara University of Boumerdes, Boumerdes, AlgeriaM'Hamed Bougara University of BoumerdesBoumerdesAlgeria
| | - Kafia Ladjali-Mohammedi
- Faculty of Biological Sciences, University of Sciences and Technology Houari Boumediene (USTHB), Laboratory of Cellular and Molecular Biology, Team of Developmental Genetics. PO box 32 El-Alia, Bab-Ezzouar, 16110, Algiers, AlgeriaUniversity of Sciences and Technology Houari Boumediene (USTHB)AlgiersAlgeria
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4
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Brannan EO, Hartley GA, O’Neill RJ. Mechanisms of Rapid Karyotype Evolution in Mammals. Genes (Basel) 2023; 15:62. [PMID: 38254952 PMCID: PMC10815390 DOI: 10.3390/genes15010062] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 12/27/2023] [Accepted: 12/28/2023] [Indexed: 01/24/2024] Open
Abstract
Chromosome reshuffling events are often a foundational mechanism by which speciation can occur, giving rise to highly derivative karyotypes even amongst closely related species. Yet, the features that distinguish lineages prone to such rapid chromosome evolution from those that maintain stable karyotypes across evolutionary time are still to be defined. In this review, we summarize lineages prone to rapid karyotypic evolution in the context of Simpson's rates of evolution-tachytelic, horotelic, and bradytelic-and outline the mechanisms proposed to contribute to chromosome rearrangements, their fixation, and their potential impact on speciation events. Furthermore, we discuss relevant genomic features that underpin chromosome variation, including patterns of fusions/fissions, centromere positioning, and epigenetic marks such as DNA methylation. Finally, in the era of telomere-to-telomere genomics, we discuss the value of gapless genome resources to the future of research focused on the plasticity of highly rearranged karyotypes.
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Affiliation(s)
- Emry O. Brannan
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT 06269, USA; (E.O.B.); (G.A.H.)
| | - Gabrielle A. Hartley
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT 06269, USA; (E.O.B.); (G.A.H.)
| | - Rachel J. O’Neill
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT 06269, USA; (E.O.B.); (G.A.H.)
- Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269, USA
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5
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Berdan EL, Barton NH, Butlin R, Charlesworth B, Faria R, Fragata I, Gilbert KJ, Jay P, Kapun M, Lotterhos KE, Mérot C, Durmaz Mitchell E, Pascual M, Peichel CL, Rafajlović M, Westram AM, Schaeffer SW, Johannesson K, Flatt T. How chromosomal inversions reorient the evolutionary process. J Evol Biol 2023; 36:1761-1782. [PMID: 37942504 DOI: 10.1111/jeb.14242] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 09/13/2023] [Accepted: 10/05/2023] [Indexed: 11/10/2023]
Abstract
Inversions are structural mutations that reverse the sequence of a chromosome segment and reduce the effective rate of recombination in the heterozygous state. They play a major role in adaptation, as well as in other evolutionary processes such as speciation. Although inversions have been studied since the 1920s, they remain difficult to investigate because the reduced recombination conferred by them strengthens the effects of drift and hitchhiking, which in turn can obscure signatures of selection. Nonetheless, numerous inversions have been found to be under selection. Given recent advances in population genetic theory and empirical study, here we review how different mechanisms of selection affect the evolution of inversions. A key difference between inversions and other mutations, such as single nucleotide variants, is that the fitness of an inversion may be affected by a larger number of frequently interacting processes. This considerably complicates the analysis of the causes underlying the evolution of inversions. We discuss the extent to which these mechanisms can be disentangled, and by which approach.
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Affiliation(s)
- Emma L Berdan
- Bioinformatics Core, Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Nicholas H Barton
- Institute of Science and Technology Austria (ISTA), Klosterneuburg, Austria
| | - Roger Butlin
- Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden
- Ecology and Evolutionary Biology, School of Bioscience, The University of Sheffield, Sheffield, UK
| | - Brian Charlesworth
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | - Rui Faria
- CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
| | - Inês Fragata
- CHANGE - Global Change and Sustainability Institute/Animal Biology Department, cE3c - Center for Ecology, Evolution and Environmental Changes, Faculty of Sciences, University of Lisbon, Lisbon, Portugal
| | | | - Paul Jay
- Center for GeoGenetics, University of Copenhagen, Copenhagen, Denmark
| | - Martin Kapun
- Center for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria
- Central Research Laboratories, Natural History Museum of Vienna, Vienna, Austria
| | - Katie E Lotterhos
- Department of Marine and Environmental Sciences, Northeastern University, Boston, Massachusetts, USA
| | - Claire Mérot
- UMR 6553 Ecobio, Université de Rennes, OSUR, CNRS, Rennes, France
| | - Esra Durmaz Mitchell
- Department of Biology, University of Fribourg, Fribourg, Switzerland
- Functional Genomics & Metabolism Research Unit, Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark
| | - Marta Pascual
- Departament de Genètica, Microbiologia i Estadística, Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Barcelona, Spain
| | - Catherine L Peichel
- Division of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
| | - Marina Rafajlović
- Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden
- Linnaeus Centre for Marine Evolutionary Biology, University of Gothenburg, Gothenburg, Sweden
| | - Anja M Westram
- Institute of Science and Technology Austria (ISTA), Klosterneuburg, Austria
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
| | - Stephen W Schaeffer
- Department of Biology, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Kerstin Johannesson
- Linnaeus Centre for Marine Evolutionary Biology, University of Gothenburg, Gothenburg, Sweden
- Tjärnö Marine Laboratory, Department of Marine Sciences, University of Gothenburg, Strömstad, Sweden
| | - Thomas Flatt
- Department of Biology, University of Fribourg, Fribourg, Switzerland
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6
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Stevenson J, Terauds V, Sumner J. Rearrangement Events on Circular Genomes. Bull Math Biol 2023; 85:107. [PMID: 37749280 PMCID: PMC10520144 DOI: 10.1007/s11538-023-01209-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 08/31/2023] [Indexed: 09/27/2023]
Abstract
Early literature on genome rearrangement modelling views the problem of computing evolutionary distances as an inherently combinatorial one. In particular, attention is given to estimating distances using the minimum number of events required to transform one genome into another. In hindsight, this approach is analogous to early methods for inferring phylogenetic trees from DNA sequences such as maximum parsimony-both are motivated by the principle that the true distance minimises evolutionary change, and both are effective if this principle is a true reflection of reality. Recent literature considers genome rearrangement under statistical models, continuing this parallel with DNA-based methods, with the goal of using model-based methods (for example maximum likelihood techniques) to compute distance estimates that incorporate the large number of rearrangement paths that can transform one genome into another. Crucially, this approach requires one to decide upon a set of feasible rearrangement events and, in this paper, we focus on characterising well-motivated models for signed, uni-chromosomal circular genomes, where the number of regions remains fixed. Since rearrangements are often mathematically described using permutations, we isolate the sets of permutations representing rearrangements that are biologically reasonable in this context, for example inversions and transpositions. We provide precise mathematical expressions for these rearrangements, and then describe them in terms of the set of cuts made in the genome when they are applied. We directly compare cuts to breakpoints, and use this concept to count the distinct rearrangement actions which apply a given number of cuts. Finally, we provide some examples of rearrangement models, and include a discussion of some questions that arise when defining plausible models.
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Affiliation(s)
| | - Venta Terauds
- University of Tasmania, Hobart, Australia
- University of South Australia, Adelaide, Australia
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Zabelkin A, Avdeyev P, Alexeev N. TruEst: a better estimator of evolutionary distance under the INFER model. J Math Biol 2023; 87:25. [PMID: 37423919 DOI: 10.1007/s00285-023-01955-z] [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: 11/12/2022] [Revised: 06/11/2023] [Accepted: 06/15/2023] [Indexed: 07/11/2023]
Abstract
Genome rearrangements are evolutionary events that shuffle genomic architectures. The number of genome rearrangements that happened between two genomes is often used as the evolutionary distance between these species. This number is often estimated as the minimum number of genome rearrangements required to transform one genome into another which are only reliable for closely-related genomes. These estimations often underestimate the evolutionary distance for genomes that have substantially evolved from each other, and advanced statistical methods can be used to improve accuracy. Several statistical estimators have been developed, under various evolutionary models, of which the most complete one, INFER, takes into account different degrees of genome fragility. We present TruEst-an efficient tool that estimates the evolutionary distance between the genomes under the INFER model of genome rearrangements. We apply our method to both simulated and real data. It shows high accuracy on the simulated data. On the real datasets of mammal genomes the method found several pairs of genomes for which the estimated distances are in high consistency with the previous ancestral reconstruction studies.
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Affiliation(s)
- Alexey Zabelkin
- International Laboratory "Computer Technologies", ITMO University, Saint Petersburg, Russia.
| | - Pavel Avdeyev
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
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8
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Pazhenkova EA, Lukhtanov VA. Chromosomal conservatism vs chromosomal megaevolution: enigma of karyotypic evolution in Lepidoptera. Chromosome Res 2023; 31:16. [PMID: 37300756 DOI: 10.1007/s10577-023-09725-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 05/21/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023]
Abstract
In the evolution of many organisms, periods of slow genome reorganization (= chromosomal conservatism) are interrupted by bursts of numerous chromosomal changes (= chromosomal megaevolution). Using comparative analysis of chromosome-level genome assemblies, we investigated these processes in blue butterflies (Lycaenidae). We demonstrate that the phase of chromosome number conservatism is characterized by the stability of most autosomes and dynamic evolution of the sex chromosome Z, resulting in multiple variants of NeoZ chromosomes due to autosome-sex chromosome fusions. In contrast during the phase of rapid chromosomal evolution, the explosive increase in chromosome number occurs mainly through simple chromosomal fissions. We show that chromosomal megaevolution is a highly non-random canalized process, and in two phylogenetically independent Lysandra lineages, the drastic parallel increase in number of fragmented chromosomes was achieved, at least partially, through reuse of the same ancestral chromosomal breakpoints. In species showing chromosome number doubling, we found no blocks of duplicated sequences or duplicated chromosomes, thus refuting the hypothesis of polyploidy. In the studied taxa, long blocks of interstitial telomere sequences (ITSs) consist of (TTAGG)n arrays interspersed with telomere-specific retrotransposons. ITSs are sporadically present in rapidly evolving Lysandra karyotypes, but not in the species with ancestral chromosome number. Therefore, we hypothesize that the transposition of telomeric sequences may be triggers of the rapid chromosome number increase. Finally, we discuss the hypothetical genomic and population mechanisms of chromosomal megaevolution and argue that the disproportionally high evolutionary role of the Z sex chromosome can be additionally reinforced by sex chromosome-autosome fusions and Z-chromosome inversions.
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Affiliation(s)
- Elena A Pazhenkova
- Department of Biology, Biotechnical Faculty, University of Ljubljana, Večna Pot 111, 1000, Ljubljana, Slovenia.
| | - Vladimir A Lukhtanov
- Department of Karyosystematics, Zoological Institute of Russian Academy of Sciences, Universitetskaya Nab. 1, 199034, St. Petersburg, Russia.
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9
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Comaills V, Castellano-Pozo M. Chromosomal Instability in Genome Evolution: From Cancer to Macroevolution. BIOLOGY 2023; 12:671. [PMID: 37237485 PMCID: PMC10215859 DOI: 10.3390/biology12050671] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 04/21/2023] [Accepted: 04/25/2023] [Indexed: 05/28/2023]
Abstract
The integrity of the genome is crucial for the survival of all living organisms. However, genomes need to adapt to survive certain pressures, and for this purpose use several mechanisms to diversify. Chromosomal instability (CIN) is one of the main mechanisms leading to the creation of genomic heterogeneity by altering the number of chromosomes and changing their structures. In this review, we will discuss the different chromosomal patterns and changes observed in speciation, in evolutional biology as well as during tumor progression. By nature, the human genome shows an induction of diversity during gametogenesis but as well during tumorigenesis that can conclude in drastic changes such as the whole genome doubling to more discrete changes as the complex chromosomal rearrangement chromothripsis. More importantly, changes observed during speciation are strikingly similar to the genomic evolution observed during tumor progression and resistance to therapy. The different origins of CIN will be treated as the importance of double-strand breaks (DSBs) or the consequences of micronuclei. We will also explain the mechanisms behind the controlled DSBs, and recombination of homologous chromosomes observed during meiosis, to explain how errors lead to similar patterns observed during tumorigenesis. Then, we will also list several diseases associated with CIN, resulting in fertility issues, miscarriage, rare genetic diseases, and cancer. Understanding better chromosomal instability as a whole is primordial for the understanding of mechanisms leading to tumor progression.
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Affiliation(s)
- Valentine Comaills
- Andalusian Center for Molecular Biology and Regenerative Medicine—CABIMER, University of Pablo de Olavide—University of Seville—CSIC, Junta de Andalucía, 41092 Seville, Spain
| | - Maikel Castellano-Pozo
- Andalusian Center for Molecular Biology and Regenerative Medicine—CABIMER, University of Pablo de Olavide—University of Seville—CSIC, Junta de Andalucía, 41092 Seville, Spain
- Genetic Department, Faculty of Biology, University of Seville, 41080 Seville, Spain
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10
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Olito C, Abbott JK. The evolution of suppressed recombination between sex chromosomes and the lengths of evolutionary strata. Evolution 2023; 77:1077-1090. [PMID: 36794986 DOI: 10.1093/evolut/qpad023] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 01/30/2023] [Accepted: 02/09/2023] [Indexed: 02/17/2023]
Abstract
The idea that sex differences in selection drive the evolution of suppressed recombination between sex chromosomes is well developed in population genetics. Yet, despite a now classic body of theory, empirical evidence that sexually antagonistic selection drives the evolution of recombination arrest remains equivocal and alternative hypotheses underdeveloped. Here, we investigate whether the length of "evolutionary strata" formed by chromosomal inversions (or other large-effect recombination modifiers) expanding the non-recombining sex-linked region (SLR) on sex chromosomes can be informative of how selection influenced their fixation. We develop population genetic models to show how the length of an SLR-expanding inversion, and the presence of partially recessive deleterious mutational variation, affect the fixation probability of three different classes of inversions: (1) intrinsically neutral, (2) directly beneficial (i.e., due to breakpoint or positional effects), and (3) those capturing sexually antagonistic (SA) loci. Our models indicate that neutral inversions, and those capturing an SA locus in linkage disequilibrium with the ancestral SLR, will exhibit a strong fixation bias toward small inversions; while unconditionally beneficial inversions, and those capturing a genetically unlinked SA locus, will favor fixation of larger inversions. The footprint of evolutionary stratum size left behind by different selection regimes is strongly influenced by parameters affecting the deleterious mutation load, the physical position of the ancestral SLR, and the distribution of new inversion lengths.
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Affiliation(s)
- Colin Olito
- Department of Biology, Section for Evolutionary Ecology, Lund University, Lund, Sweden
| | - Jessica K Abbott
- Department of Biology, Section for Evolutionary Ecology, Lund University, Lund, Sweden
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11
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Smith J, Alfieri JM, Anthony N, Arensburger P, Athrey GN, Balacco J, Balic A, Bardou P, Barela P, Bigot Y, Blackmon H, Borodin PM, Carroll R, Casono MC, Charles M, Cheng H, Chiodi M, Cigan L, Coghill LM, Crooijmans R, Das N, Davey S, Davidian A, Degalez F, Dekkers JM, Derks M, Diack AB, Djikeng A, Drechsler Y, Dyomin A, Fedrigo O, Fiddaman SR, Formenti G, Frantz LA, Fulton JE, Gaginskaya E, Galkina S, Gallardo RA, Geibel J, Gheyas AA, Godinez CJP, Goodell A, Graves JA, Griffin DK, Haase B, Han JL, Hanotte O, Henderson LJ, Hou ZC, Howe K, Huynh L, Ilatsia E, Jarvis ED, Johnson SM, Kaufman J, Kelly T, Kemp S, Kern C, Keroack JH, Klopp C, Lagarrigue S, Lamont SJ, Lange M, Lanke A, Larkin DM, Larson G, Layos JKN, Lebrasseur O, Malinovskaya LP, Martin RJ, Martin Cerezo ML, Mason AS, McCarthy FM, McGrew MJ, Mountcastle J, Muhonja CK, Muir W, Muret K, Murphy TD, Ng'ang'a I, Nishibori M, O'Connor RE, Ogugo M, Okimoto R, Ouko O, Patel HR, Perini F, Pigozzi MI, Potter KC, Price PD, Reimer C, Rice ES, Rocos N, Rogers TF, Saelao P, Schauer J, Schnabel RD, Schneider VA, Simianer H, Smith A, et alSmith J, Alfieri JM, Anthony N, Arensburger P, Athrey GN, Balacco J, Balic A, Bardou P, Barela P, Bigot Y, Blackmon H, Borodin PM, Carroll R, Casono MC, Charles M, Cheng H, Chiodi M, Cigan L, Coghill LM, Crooijmans R, Das N, Davey S, Davidian A, Degalez F, Dekkers JM, Derks M, Diack AB, Djikeng A, Drechsler Y, Dyomin A, Fedrigo O, Fiddaman SR, Formenti G, Frantz LA, Fulton JE, Gaginskaya E, Galkina S, Gallardo RA, Geibel J, Gheyas AA, Godinez CJP, Goodell A, Graves JA, Griffin DK, Haase B, Han JL, Hanotte O, Henderson LJ, Hou ZC, Howe K, Huynh L, Ilatsia E, Jarvis ED, Johnson SM, Kaufman J, Kelly T, Kemp S, Kern C, Keroack JH, Klopp C, Lagarrigue S, Lamont SJ, Lange M, Lanke A, Larkin DM, Larson G, Layos JKN, Lebrasseur O, Malinovskaya LP, Martin RJ, Martin Cerezo ML, Mason AS, McCarthy FM, McGrew MJ, Mountcastle J, Muhonja CK, Muir W, Muret K, Murphy TD, Ng'ang'a I, Nishibori M, O'Connor RE, Ogugo M, Okimoto R, Ouko O, Patel HR, Perini F, Pigozzi MI, Potter KC, Price PD, Reimer C, Rice ES, Rocos N, Rogers TF, Saelao P, Schauer J, Schnabel RD, Schneider VA, Simianer H, Smith A, Stevens MP, Stiers K, Tiambo CK, Tixier-Boichard M, Torgasheva AA, Tracey A, Tregaskes CA, Vervelde L, Wang Y, Warren WC, Waters PD, Webb D, Weigend S, Wolc A, Wright AE, Wright D, Wu Z, Yamagata M, Yang C, Yin ZT, Young MC, Zhang G, Zhao B, Zhou H. Fourth Report on Chicken Genes and Chromosomes 2022. Cytogenet Genome Res 2023; 162:405-528. [PMID: 36716736 PMCID: PMC11835228 DOI: 10.1159/000529376] [Show More Authors] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 01/22/2023] [Indexed: 02/01/2023] Open
Affiliation(s)
- Jacqueline Smith
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - James M. Alfieri
- Interdisciplinary Program in Ecology and Evolutionary Biology, Texas A&M University, College Station, Texas, USA
- Department of Biology, Texas A&M University, College Station, Texas, USA
- Department of Poultry Science, Texas A&M University, College Station, Texas, USA
| | | | - Peter Arensburger
- Biological Sciences Department, California State Polytechnic University, Pomona, California, USA
| | - Giridhar N. Athrey
- Interdisciplinary Program in Ecology and Evolutionary Biology, Texas A&M University, College Station, Texas, USA
- Department of Poultry Science, Texas A&M University, College Station, Texas, USA
| | | | - Adam Balic
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Philippe Bardou
- Université de Toulouse, INRAE, ENVT, GenPhySE, Sigenae, Castanet Tolosan, France
| | | | - Yves Bigot
- PRC, UMR INRAE 0085, CNRS 7247, Centre INRAE Val de Loire, Nouzilly, France
| | - Heath Blackmon
- Interdisciplinary Program in Ecology and Evolutionary Biology, Texas A&M University, College Station, Texas, USA
- Department of Biology, Texas A&M University, College Station, Texas, USA
| | - Pavel M. Borodin
- Department of Molecular Genetics, Cell Biology and Bioinformatics, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russian Federation
| | - Rachel Carroll
- Department of Animal Sciences, Data Science and Informatics Institute, University of Missouri, Columbia, Missouri, USA
| | | | - Mathieu Charles
- University Paris-Saclay, INRAE, AgroParisTech, GABI, Sigenae, Jouy-en-Josas, France
| | - Hans Cheng
- USDA, ARS, USNPRC, Avian Disease and Oncology Laboratory, East Lansing, Michigan, USA
| | | | | | - Lyndon M. Coghill
- Department of Veterinary Pathology, University of Missouri, Columbia, Missouri, USA
| | - Richard Crooijmans
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
| | | | - Sean Davey
- University of Arizona, Tucson, Arizona, USA
| | - Asya Davidian
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Fabien Degalez
- Centre for Tropical Livestock Genetics and Health (CTLGH) − ILRI, Nairobi, Kenya
| | - Jack M. Dekkers
- Department of Animal Science, University of California, Davis, California, USA
- INRAE, MIAT UR875, Sigenae, Castanet Tolosan, France
| | - Martijn Derks
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
| | - Abigail B. Diack
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Appolinaire Djikeng
- Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, Missouri, USA
| | | | - Alexander Dyomin
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | | | | | | | - Laurent A.F. Frantz
- Queen Mary University of London, Bethnal Green, London, UK
- Palaeogenomics Group, Department of Veterinary Sciences, LMU Munich, Munich, Germany
| | - Janet E. Fulton
- Hy-Line International, Research and Development, Dallas Center, Iowa, USA
| | - Elena Gaginskaya
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Svetlana Galkina
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Rodrigo A. Gallardo
- School of Veterinary Medicine, University of California, Davis, California, USA
- Department of Animal Science, University of California, Davis, California, USA
| | - Johannes Geibel
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Neustadt, Germany
- Center for Integrated Breeding Research, University of Göttingen, Göttingen, Germany
| | - Almas A. Gheyas
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Cyrill John P. Godinez
- Department of Animal Science, College of Agriculture and Food Science, Visayas State University, Baybay City, Philippines
| | | | - Jennifer A.M. Graves
- Department of Environment and Genetics, La Trobe University, Melbourne, Victoria, Australia
- Institute for Applied Ecology, University of Canberra, Canberra, Australian Capital Territory, Australia
| | | | | | - Jian-Lin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia
| | - Olivier Hanotte
- International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia
- Cells, Organisms and Molecular Genetics, School of Life Sciences, University of Nottingham, Nottingham, UK
- Centre for Tropical Livestock Genetics and Health, The Roslin Institute, Edinburgh, UK
| | - Lindsay J. Henderson
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Zhuo-Cheng Hou
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | | | - Lan Huynh
- Institute for Immunology and Infection Research, University of Edinburgh, Edinburgh, UK
| | - Evans Ilatsia
- Dairy Research Institute, Kenya Agricultural and Livestock Organization, Naivasha, Kenya
| | | | | | - Jim Kaufman
- Institute for Immunology and Infection Research, University of Edinburgh, Edinburgh, UK
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Terra Kelly
- School of Veterinary Medicine, University of California, Davis, California, USA
- Department of Animal Science, University of California, Davis, California, USA
| | - Steve Kemp
- INRAE, INSTITUT AGRO, PEGASE UMR 1348, Saint-Gilles, France
| | - Colin Kern
- Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, California, USA
| | | | - Christophe Klopp
- Department of Animal Science, Iowa State University, Ames, Iowa, USA
| | - Sandrine Lagarrigue
- Centre for Tropical Livestock Genetics and Health (CTLGH) − ILRI, Nairobi, Kenya
| | - Susan J. Lamont
- Department of Animal Science, University of California, Davis, California, USA
- INRAE, MIAT UR875, Sigenae, Castanet Tolosan, France
| | - Margaret Lange
- Centre for Tropical Livestock Genetics and Health (CTLGH) − The Roslin Institute, Edinburgh, UK
| | - Anika Lanke
- College of Veterinary Medicine, Western University of Health Sciences, Pomona, California, USA
| | - Denis M. Larkin
- Department of Comparative Biomedical Sciences, Royal Veterinary College, University of London, London, UK
| | - Greger Larson
- The Palaeogenomics and Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, The University of Oxford, Oxford, UK
| | - John King N. Layos
- College of Agriculture and Forestry, Capiz State University, Mambusao, Philippines
| | - Ophélie Lebrasseur
- Centre d'Anthropobiologie et de Génomique de Toulouse (CAGT), CNRS UMR 5288, Université Toulouse III Paul Sabatier, Toulouse, France
- Instituto Nacional de Antropología y Pensamiento Latinoamericano, Ciudad Autónoma de Buenos Aires, Argentina
| | - Lyubov P. Malinovskaya
- Department of Cytology and Genetics, Novosibirsk State University, Novosibirsk, Russian Federation
| | - Rebecca J. Martin
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | | | | | | | - Michael J. McGrew
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
- Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, Missouri, USA
| | | | - Christine Kamidi Muhonja
- Department of Veterinary Pathology, University of Missouri, Columbia, Missouri, USA
- Centre for Tropical Livestock Genetics and Health (CTLGH) − ILRI, Nairobi, Kenya
| | - William Muir
- Department of Animal Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Kévin Muret
- Université Paris-Saclay, Commissariat à l'Energie Atomique et aux Energies Alternatives, Centre National de Recherche en Génomique Humaine, Evry, France
| | - Terence D. Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Masahide Nishibori
- Laboratory of Animal Genetics, Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Japan
| | | | - Moses Ogugo
- Centre for Tropical Livestock Genetics and Health (CTLGH) − ILRI, Nairobi, Kenya
| | - Ron Okimoto
- Cobb-Vantress, Siloam Springs, Arkansas, USA
| | - Ochieng Ouko
- Department of Veterinary Pathology, University of Missouri, Columbia, Missouri, USA
| | - Hardip R. Patel
- The John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Francesco Perini
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, Perugia, Italy
| | - María Ines Pigozzi
- INBIOMED (CONICET-UBA), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
| | | | - Peter D. Price
- Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, Sheffield, UK
| | - Christian Reimer
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Neustadt, Germany
| | - Edward S. Rice
- Department of Animal Sciences, Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
| | - Nicolas Rocos
- USDA, ARS, USNPRC, Avian Disease and Oncology Laboratory, East Lansing, Michigan, USA
| | - Thea F. Rogers
- Department of Molecular Evolution and Development, University of Vienna, Vienna, Austria
| | - Perot Saelao
- Department of Animal Science, University of California, Davis, California, USA
- Veterinary Pest Genetics Research Unit, USDA, Kerrville, Texas, USA
| | - Jens Schauer
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Neustadt, Germany
| | - Robert D. Schnabel
- Department of Animal Sciences, University of Missouri, Columbia, Missouri, USA
| | - Valerie A. Schneider
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | - Henner Simianer
- Center for Integrated Breeding Research, University of Göttingen, Göttingen, Germany
| | - Adrian Smith
- Department of Zoology, University of Oxford, Oxford, UK
| | - Mark P. Stevens
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Kyle Stiers
- Department of Veterinary Pathology, University of Missouri, Columbia, Missouri, USA
| | | | | | - Anna A. Torgasheva
- Department of Molecular Genetics, Cell Biology and Bioinformatics, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russian Federation
| | - Alan Tracey
- University Paris-Saclay, INRAE, AgroParisTech, GABI, Sigenae, Jouy-en-Josas, France
| | - Clive A. Tregaskes
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Lonneke Vervelde
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Ying Wang
- Department of Animal Science, University of California, Davis, California, USA
| | - Wesley C. Warren
- Department of Animal Sciences, Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- Department of Animal Sciences, University of Missouri, Columbia, Missouri, USA
| | - Paul D. Waters
- School of Biotechnology and Biomolecular Science, Faculty of Science, UNSW Sydney, Sydney, New South Wales, Australia
| | - David Webb
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | - Steffen Weigend
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Neustadt, Germany
- Center for Integrated Breeding Research, University of Göttingen, Göttingen, Germany
| | - Anna Wolc
- INRAE, MIAT UR875, Sigenae, Castanet Tolosan, France
- Hy-Line International, Research and Development, Dallas Center, Iowa, USA
| | - Alison E. Wright
- Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, Sheffield, UK
| | - Dominic Wright
- AVIAN Behavioural Genomics and Physiology, IFM Biology, Linköping University, Linköping, Sweden
| | - Zhou Wu
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Masahito Yamagata
- Center for Brain Science, Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA
| | | | - Zhong-Tao Yin
- Department of Animal Sciences, Data Science and Informatics Institute, University of Missouri, Columbia, Missouri, USA
| | | | - Guojie Zhang
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
| | - Bingru Zhao
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Huaijun Zhou
- Department of Animal Science, University of California, Davis, California, USA
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Griffin DK, Larkin DM, O’Connor RE, Romanov MN. Dinosaurs: Comparative Cytogenomics of Their Reptile Cousins and Avian Descendants. Animals (Basel) 2022; 13:106. [PMID: 36611715 PMCID: PMC9817885 DOI: 10.3390/ani13010106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/22/2022] [Accepted: 12/23/2022] [Indexed: 12/29/2022] Open
Abstract
Reptiles known as dinosaurs pervade scientific and popular culture, while interest in their genomics has increased since the 1990s. Birds (part of the crown group Reptilia) are living theropod dinosaurs. Chromosome-level genome assemblies cannot be made from long-extinct biological material, but dinosaur genome organization can be inferred through comparative genomics of related extant species. Most reptiles apart from crocodilians have both macro- and microchromosomes; comparative genomics involving molecular cytogenetics and bioinformatics has established chromosomal relationships between many species. The capacity of dinosaurs to survive multiple extinction events is now well established, and birds now have more species in comparison with any other terrestrial vertebrate. This may be due, in part, to their karyotypic features, including a distinctive karyotype of around n = 40 (~10 macro and 30 microchromosomes). Similarity in genome organization in distantly related species suggests that the common avian ancestor had a similar karyotype to e.g., the chicken/emu/zebra finch. The close karyotypic similarity to the soft-shelled turtle (n = 33) suggests that this basic pattern was mostly established before the Testudine-Archosaur divergence, ~255 MYA. That is, dinosaurs most likely had similar karyotypes and their extensive phenotypic variation may have been mediated by increased random chromosome segregation and genetic recombination, which is inherently higher in karyotypes with more and smaller chromosomes.
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Affiliation(s)
| | - Denis M. Larkin
- Department of Comparative Biomedical Sciences, Royal Veterinary College, University of London, London NW1 0TU, UK
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13
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Bolotin E, Melamed D, Livnat A. Genes that are Used Together are More Likely to be Fused Together in Evolution by Mutational Mechanisms: A Bioinformatic Test of the Used-Fused Hypothesis. Evol Biol 2022; 50:30-55. [PMID: 36816837 PMCID: PMC9925542 DOI: 10.1007/s11692-022-09579-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 09/11/2022] [Indexed: 12/05/2022]
Abstract
Cases of parallel or recurrent gene fusions in evolution as well as in genetic disease and cancer are difficult to explain, because unlike point mutations, they can require the repetition of a similar configuration of multiple breakpoints rather than the repetition of a single point mutation. The used-together-fused-together hypothesis holds that genes that are used together repeatedly and persistently in a specific context are more likely to undergo fusion mutation in the course of evolution for mechanistic reasons. This hypothesis offers to explain gene fusion in both evolution and disease under one umbrella. Using bioinformatic data, we tested this hypothesis against alternatives, including that all gene pairs can fuse by random mutation, but among pairs thus fused, those that had interacted previously are more likely to be favored by selection. Results show that across multiple measures of gene interaction, human genes whose orthologs are fused in one or more species are more likely to interact with each other than random pairs of genes of the same genomic distance between pair members; that an overlap exists between genes that fused in the course of evolution in non-human species and genes that undergo fusion in human cancers; and that across six primate species studied, fusions predominate over fissions and exhibit substantial evolutionary parallelism. Together, these results support the used-together-fused-together hypothesis over its alternatives. Multiple implications are discussed, including the relevance of mutational mechanisms to the evolution of genome organization, to the distribution of fitness effects of mutation, to evolutionary parallelism and more. Supplementary Information The online version contains supplementary material available at 10.1007/s11692-022-09579-9.
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Affiliation(s)
- Evgeni Bolotin
- Department of Evolutionary and Environmental Biology, University of Haifa, 3498838 Haifa, Israel
- Institute of Evolution, University of Haifa, Haifa, 3498838 Israel
| | - Daniel Melamed
- Department of Evolutionary and Environmental Biology, University of Haifa, 3498838 Haifa, Israel
- Institute of Evolution, University of Haifa, Haifa, 3498838 Israel
| | - Adi Livnat
- Department of Evolutionary and Environmental Biology, University of Haifa, 3498838 Haifa, Israel
- Institute of Evolution, University of Haifa, Haifa, 3498838 Israel
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14
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Damas J, Corbo M, Kim J, Turner-Maier J, Farré M, Larkin DM, Ryder OA, Steiner C, Houck ML, Hall S, Shiue L, Thomas S, Swale T, Daly M, Korlach J, Uliano-Silva M, Mazzoni CJ, Birren BW, Genereux DP, Johnson J, Lindblad-Toh K, Karlsson EK, Nweeia MT, Johnson RN, Zoonomia Consortium 1, Lewin HA. Evolution of the ancestral mammalian karyotype and syntenic regions. Proc Natl Acad Sci U S A 2022; 119:e2209139119. [PMID: 36161960 PMCID: PMC9550189 DOI: 10.1073/pnas.2209139119] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 08/24/2022] [Indexed: 11/18/2022] Open
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.
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Affiliation(s)
- Joana Damas
- The Genome Center, University of California, Davis, CA 95616
| | - Marco Corbo
- The Genome Center, University of California, Davis, CA 95616
| | - Jaebum Kim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul 05029, South Korea
| | - Jason Turner-Maier
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142
| | - Marta Farré
- School of Biosciences, University of Kent, Canterbury CT2 7NJ, United Kingdom
| | - Denis M. Larkin
- The Royal Veterinary College, University of London, London NW1 0TU, United Kingdom
| | - Oliver A. Ryder
- Conservation Genetics, San Diego Zoo Wildlife Alliance, Escondido, CA 92027
- Department of Evolution, Behavior, and Ecology, Division of Biology, University of California San Diego, La Jolla, CA 92093
| | - Cynthia Steiner
- Conservation Science Wildlife Health, San Diego Zoo Wildlife Alliance, Escondido, CA 92027
| | - Marlys L. Houck
- Beckman Center for Conservation Research, San Diego Zoo Wildlife Alliance, Escondido, CA 92027
| | - Shaune Hall
- Dovetail Genomics, LLC, Scotts Valley, CA 95066
| | - Lily Shiue
- Dovetail Genomics, LLC, Scotts Valley, CA 95066
| | | | | | - Mark Daly
- Dovetail Genomics, LLC, Scotts Valley, CA 95066
| | | | - Marcela Uliano-Silva
- Wellcome Sanger Institute, Cambridgeshire CB10 1SA, United Kingdom
- Berlin Center for Genomics in Biodiversity Research, D-14195 Berlin, Germany
- Evolutionary Genetics Department, Leibniz Institut für Zoo- und Wildtierforschung, 10315 Berlin, Germany
| | - Camila J. Mazzoni
- Berlin Center for Genomics in Biodiversity Research, D-14195 Berlin, Germany
- Evolutionary Genetics Department, Leibniz Institut für Zoo- und Wildtierforschung, 10315 Berlin, Germany
| | - Bruce W. Birren
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142
| | - Diane P. Genereux
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142
| | - Jeremy Johnson
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142
| | - Kerstin Lindblad-Toh
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala 751 23, Sweden
| | - Elinor K. Karlsson
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142
- Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01655
- Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01655
| | - Martin T. Nweeia
- Department of Restorative Dentistry and Biomaterials Sciences, Harvard School of Dental Medicine, Boston, MA 02115
- Department of Comprehensive Care, Case Western Reserve University School of Dental Medicine, Cleveland, OH 44106
- Marine Mammal Program, Department of Vertebrate Zoology, Smithsonian Institution, Washington, DC 20002
| | - Rebecca N. Johnson
- Australian Museum Research Institute, Australian Museum, Sydney, NSW 2010, Australia
- School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, NSW 2006, Australia
| | - Zoonomia Consortium1
- The Genome Center, University of California, Davis, CA 95616
- Department of Biomedical Science and Engineering, Konkuk University, Seoul 05029, South Korea
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142
- School of Biosciences, University of Kent, Canterbury CT2 7NJ, United Kingdom
- The Royal Veterinary College, University of London, London NW1 0TU, United Kingdom
- Conservation Genetics, San Diego Zoo Wildlife Alliance, Escondido, CA 92027
- Department of Evolution, Behavior, and Ecology, Division of Biology, University of California San Diego, La Jolla, CA 92093
- Conservation Science Wildlife Health, San Diego Zoo Wildlife Alliance, Escondido, CA 92027
- Beckman Center for Conservation Research, San Diego Zoo Wildlife Alliance, Escondido, CA 92027
- Dovetail Genomics, LLC, Scotts Valley, CA 95066
- Pacific Biosciences, Menlo Park, CA 94025
- Wellcome Sanger Institute, Cambridgeshire CB10 1SA, United Kingdom
- Berlin Center for Genomics in Biodiversity Research, D-14195 Berlin, Germany
- Evolutionary Genetics Department, Leibniz Institut für Zoo- und Wildtierforschung, 10315 Berlin, Germany
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala 751 23, Sweden
- Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01655
- Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01655
- Department of Restorative Dentistry and Biomaterials Sciences, Harvard School of Dental Medicine, Boston, MA 02115
- Department of Comprehensive Care, Case Western Reserve University School of Dental Medicine, Cleveland, OH 44106
- Marine Mammal Program, Department of Vertebrate Zoology, Smithsonian Institution, Washington, DC 20002
- Australian Museum Research Institute, Australian Museum, Sydney, NSW 2010, Australia
- School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, NSW 2006, Australia
- Department of Evolution and Ecology, University of California, Davis, CA 95616
- John Muir Institute for the Environment, University of California, Davis, CA 95616
| | - Harris A. Lewin
- The Genome Center, University of California, Davis, CA 95616
- Department of Evolution and Ecology, University of California, Davis, CA 95616
- John Muir Institute for the Environment, University of California, Davis, CA 95616
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15
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Glugoski L, Nogaroto V, Deon GA, Azambuja M, Moreira-Filho O, Vicari MR. Enriched tandemly repeats in chromosomal fusion points of Rineloricaria latirostris (Boulenger, 1900) (Siluriformes: Loricariidae). Genome 2022; 65:479-489. [PMID: 35939838 DOI: 10.1139/gen-2022-0043] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Cytogenetic data showed the enrichment of repetitive DNAs in chromosomal rearrangement points between closely related species in armored catfishes. Still, few studies integrated cytogenetic and genomic data aiming to identify their prone-to-break DNA sites. Here, we aimed to obtain the repetitive fraction in Rineloricaria latirostris to recognize the microsatellite and homopolymers flanking the regions previously described as chromosomal fusion points. The results indicated that repetitive DNAs in R. latirostris are predominantly DNA transposons, and considering the microsatellite and homopolymers, A/T-rich expansions were the most abundant. The in situ localization demonstrated the A/T-rich repetitive sequences are scattered on the chromosomes, while A/G-rich microsatellites units were accumulated in some regions. The DNA transposon hAT, the 5S rDNA, and 45S rDNA (previously identified in Robertsonian fusion points in R. latirostris) are clusterized with some microsatellites, especially (CA)n, (GA)n, and poly-A, which also are enriched in regions of chromosomal fusions. Our findings demonstrated that repetitive sequences such as rDNAs, hAT transposon, and microsatellite units flank probable evolutionary breakpoint regions in R. latirostris. However, due to the sequence unit homologies in different chromosomal sites, these repeat DNAs only may have facilitated chromosome fusion events in R. latirostris rather than work as a double-strand breakpoint site.
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Affiliation(s)
- Larissa Glugoski
- Universidade Federal de São Carlos, Departamento de Genética e Evolução, Sao Carlos, São Paulo, Brazil;
| | - Viviane Nogaroto
- Universidade Estadual de Ponta Grossa, Departamento de Biologia Estrutural, Molecular e Genética, Ponta Grossa, Paraná, Brazil;
| | - Geize Aparecida Deon
- Universidade Federal de São Carlos, Departamento de Genética e Evolução, Sao Carlos, São Paulo, Brazil;
| | - Matheus Azambuja
- Universidade Federal do Paraná, Departamento de Genética, Curitiba, PR, Brazil;
| | - Orlando Moreira-Filho
- Universidade Federal de São Carlos, Departamento de Genética e Evolução, Sao Carlos, São Paulo, Brazil;
| | - Marcelo Ricardo Vicari
- Universidade Estadual de Ponta Grossa, Departamento de Biologia Estrutural, Molecular e Genética, Ponta Grossa, Paraná, Brazil.,Universidade Federal do Paraná, Departamento de Genética, Curitiba, PR, Brazil;
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16
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Deon GA, Glugoski L, Hatanaka T, Sassi FDMC, Nogaroto V, Bertollo LAC, Liehr T, Al-Rikabi A, Moreira O, Cioffi MDB, Vicari MR. Evolutionary breakpoint regions and chromosomal remodeling in Harttia (Siluriformes: Loricariidae) species diversification. Genet Mol Biol 2022; 45:e20210170. [PMID: 35604463 PMCID: PMC9126045 DOI: 10.1590/1678-4685-gmb-2021-0170] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 04/03/2022] [Indexed: 11/22/2022] Open
Abstract
The Neotropical armored catfish genus Harttia presents a wide variation of chromosomal rearrangements among its representatives. Studies indicate that translocation and Robertsonian rearrangements have triggered the karyotype evolution in the genus, including differentiation of sex chromosome systems. However, few studies used powerful tools, such as comparative whole chromosome painting, to clarify this highly diversified scenario. Here, we isolated probes from the X1 (a 5S rDNA carrier) and the X2 (a 45S rDNA carrier) chromosomes of Harttia punctata, which displays an X1X1X2X2/X1X2Y multiple sex chromosome system. Those probes were applied in other Harttia species to evidence homeologous chromosome blocks. The resulting data reinforce that translocation events played a role in the origin of the X1X2Y sex chromosome system in H. punctata. The repositioning of homologous chromosomal blocks carrying rDNA sites among ten Harttia species has also been demonstrated. Anchored to phylogenetic data it was possible to evidence some events of the karyotype diversification of the studied species and to prove an independent origin for the two types of multiple sex chromosomes, XX/XY1Y2 and X1X1X2X2/X1X2Y, that occur in Harttia species. The results point to evolutionary breakpoint regions in the genomes within or adjacent to rDNA sites that were widely reused in Harttia chromosome remodeling.
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Affiliation(s)
- Geize Aparecida Deon
- Universidade Federal de São Carlos, Departamento de Genética e
Evolução, São Carlos, SP, Brazil
- Universidade Estadual de Ponta Grossa, Departamento de Biologia
Estrutural, Molecular e Genética, Ponta Grossa, PR, Brazil
| | - Larissa Glugoski
- Universidade Federal de São Carlos, Departamento de Genética e
Evolução, São Carlos, SP, Brazil
- Universidade Estadual de Ponta Grossa, Departamento de Biologia
Estrutural, Molecular e Genética, Ponta Grossa, PR, Brazil
| | - Terumi Hatanaka
- Universidade Federal de São Carlos, Departamento de Genética e
Evolução, São Carlos, SP, Brazil
| | | | - Viviane Nogaroto
- Universidade Estadual de Ponta Grossa, Departamento de Biologia
Estrutural, Molecular e Genética, Ponta Grossa, PR, Brazil
| | | | - Thomas Liehr
- University Hospital Jena, Institute of Human Genetics, Jena,
Germany
| | - Ahmed Al-Rikabi
- Universidade Federal de São Carlos, Departamento de Genética e
Evolução, São Carlos, SP, Brazil
- University Hospital Jena, Institute of Human Genetics, Jena,
Germany
| | - Orlando Moreira
- Universidade Federal de São Carlos, Departamento de Genética e
Evolução, São Carlos, SP, Brazil
| | - Marcelo de Bello Cioffi
- Universidade Federal de São Carlos, Departamento de Genética e
Evolução, São Carlos, SP, Brazil
| | - Marcelo Ricardo Vicari
- Universidade Estadual de Ponta Grossa, Departamento de Biologia
Estrutural, Molecular e Genética, Ponta Grossa, PR, Brazil
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17
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Connallon T, Olito C. Natural selection and the distribution of chromosomal inversion lengths. Mol Ecol 2021; 31:3627-3641. [PMID: 34297880 DOI: 10.1111/mec.16091] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 07/16/2021] [Accepted: 07/19/2021] [Indexed: 11/28/2022]
Abstract
Chromosomal inversions contribute substantially to genome evolution, yet the processes governing their evolutionary dynamics remain poorly understood. Theory suggests that a readily measurable property of inversions-their length-can potentially affect their evolutionary fates. Emerging data on the lengths of polymorphic and fixed inversions may therefore provide clues to the evolutionary processes promoting inversion establishment. However, formal predictions for the distribution of inversion lengths remain incomplete, making empirical patterns difficult to interpret. We model the relation between inversion length and establishment probability for four inversion types: (1) neutral, (2) underdominant, (3) directly beneficial, and (4) indirectly beneficial, with selection favouring the latter because they capture locally adapted alleles at migration-selection balance and suppress recombination between them. We also consider how deleterious mutations affect the lengths of established inversions. We show that length distributions of common polymorphic and fixed inversions systematically differ among inversion types. Small rearrangements contribute the most to genome evolution under neutral and underdominant scenarios of selection, with the lengths of neutral inversion substitutions increasing, and those of underdominant substitutions decreasing, with effective population size. Among directly beneficial inversions, small rearrangements are preferentially fixed, whereas intermediate-to-large inversions are maintained as balanced polymorphisms via associative overdominance. Finally, inversions established under the local adaptation scenario are predominantly intermediate-to-large. Such inversions remain polymorphic or approach fixation within the local populations where they are favoured. Our models clarify how inversion length distributions relate to processes of inversion establishment, providing a platform for testing how natural selection shapes the evolution of genome structure.
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Affiliation(s)
- Tim Connallon
- School of Biological Sciences and Centre for Geometric Biology, Monash University, Clayton, Victoria, Australia
| | - Colin Olito
- Department of Biology, Section for Evolutionary Ecology, Lund University, Lund, Sweden
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18
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Brashear WA, Bredemeyer KR, Murphy WJ. Genomic architecture constrained placental mammal X Chromosome evolution. Genome Res 2021; 31:1353-1365. [PMID: 34301625 PMCID: PMC8327908 DOI: 10.1101/gr.275274.121] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 06/22/2021] [Indexed: 01/02/2023]
Abstract
Susumu Ohno proposed that the gene content of the mammalian X Chromosome should remain highly conserved due to dosage compensation. X Chromosome linkage (gene order) conservation is widespread in placental mammals but does not fall within the scope of Ohno's prediction and may be an indirect result of selection on gene content or selection against rearrangements that might disrupt X-Chromosome inactivation (XCI). Previous comparisons between the human and mouse X Chromosome sequences have suggested that although single-copy X Chromosome genes are conserved between species, most ampliconic genes were independently acquired. To better understand the evolutionary and functional constraints on X-linked gene content and linkage conservation in placental mammals, we aligned a new, high-quality, long-read X Chromosome reference assembly from the domestic cat (incorporating 19.3 Mb of targeted BAC clone sequence) to the pig, human, and mouse assemblies. A comprehensive analysis of annotated X-linked orthologs in public databases demonstrated that the majority of ampliconic gene families were present on the ancestral placental X Chromosome. We generated a domestic cat Hi-C contact map from an F1 domestic cat/Asian leopard cat hybrid and demonstrated the formation of the bipartite structure found in primate and rodent inactivated X Chromosomes. Conservation of gene order and recombination patterns is attributable to strong selective constraints on three-dimensional genomic architecture necessary for superloop formation. Species with rearranged X Chromosomes retain the ancestral order and relative spacing of loci critical for superloop formation during XCI, with compensatory inversions evolving to maintain these long-range physical interactions.
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Affiliation(s)
- Wesley A Brashear
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas 77843, USA.,Interdisciplinary Program in Genetics, Texas A&M University, College Station, Texas 77843, USA
| | - Kevin R Bredemeyer
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas 77843, USA.,Interdisciplinary Program in Genetics, Texas A&M University, College Station, Texas 77843, USA
| | - William J Murphy
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas 77843, USA.,Interdisciplinary Program in Genetics, Texas A&M University, College Station, Texas 77843, USA
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19
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McBroome J, Liang D, Corbett-Detig R. Fine-Scale Position Effects Shape the Distribution of Inversion Breakpoints in Drosophila melanogaster. Genome Biol Evol 2021; 12:1378-1391. [PMID: 32437518 PMCID: PMC7487137 DOI: 10.1093/gbe/evaa103] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/18/2020] [Indexed: 12/20/2022] Open
Abstract
Chromosomal inversions are among the primary drivers of genome structure evolution in a wide range of natural populations. Although there is an impressive array of theory and empirical analyses that have identified conditions under which inversions can be positively selected, comparatively little data are available on the fitness impacts of these genome structural rearrangements themselves. Because inversion breakpoints can disrupt functional elements and alter chromatin domains, the precise positioning of an inversion’s breakpoints can strongly affect its fitness. Here, we compared the fine-scale distribution of low-frequency inversion breakpoints with those of high-frequency inversions and inversions that have gone to fixation between Drosophila species. We identified a number of differences among frequency classes that may influence inversion fitness. In particular, breakpoints that are proximal to insulator elements, generate large tandem duplications, and minimize impacts on gene coding spans which are more prevalent in high-frequency and fixed inversions than in rare inversions. The data suggest that natural selection acts to preserve both genes and larger cis-regulatory networks in the occurrence and spread of rearrangements. These factors may act to limit the availability of high-fitness arrangements when suppressed recombination is favorable.
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Affiliation(s)
- Jakob McBroome
- Department of Biomolecular Engineering, University of California Santa Cruz
| | - David Liang
- Department of Biomolecular Engineering, University of California Santa Cruz
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20
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Villoutreix R, Ayala D, Joron M, Gompert Z, Feder JL, Nosil P. Inversion breakpoints and the evolution of supergenes. Mol Ecol 2021; 30:2738-2755. [PMID: 33786937 PMCID: PMC7614923 DOI: 10.1111/mec.15907] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 02/04/2021] [Accepted: 03/23/2021] [Indexed: 12/17/2022]
Abstract
The coexistence of discrete morphs that differ in multiple traits is common within natural populations of many taxa. Such morphs are often associated with chromosomal inversions, presumably because the recombination suppressing effects of inversions help maintain alternate adaptive combinations of alleles across the multiple loci affecting these traits. However, inversions can also harbour selected mutations at their breakpoints, leading to their rise in frequency in addition to (or independent from) their role in recombination suppression. In this review, we first describe the different ways that breakpoints can create mutations. We then critically examine the evidence for the breakpoint-mutation and recombination suppression hypotheses for explaining the existence of discrete morphs associated with chromosomal inversions. We find that the evidence that inversions are favoured due to recombination suppression is often indirect. The evidence that breakpoints harbour mutations that are adaptive is also largely indirect, with the characterization of inversion breakpoints at the sequence level being incomplete in most systems. Direct tests of the role of suppressed recombination and breakpoint mutations in inversion evolution are thus needed. Finally, we emphasize how the two hypotheses of recombination suppression and breakpoint mutation can act in conjunction, with implications for understanding the emergence of supergenes and their evolutionary dynamics. We conclude by discussing how breakpoint characterization could improve our understanding of complex, discrete phenotypic forms in nature.
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Affiliation(s)
- Romain Villoutreix
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Univ Paul Valéry Montpellier
3, Montpellier 34293, France
| | - Diego Ayala
- UMR MIVEGEC, Univ. Montpellier, CNRS, IRD, 34934 Montpellier, France
| | - Mathieu Joron
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Univ Paul Valéry Montpellier
3, Montpellier 34293, France
| | | | - Jeffrey L. Feder
- Department of Biological Sciences, University of Notre Dame, Notre Dame,
Indiana 46556, USA
| | - Patrik Nosil
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Univ Paul Valéry Montpellier
3, Montpellier 34293, France
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21
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Comparative Mapping of the Macrochromosomes of Eight Avian Species Provides Further Insight into Their Phylogenetic Relationships and Avian Karyotype Evolution. Cells 2021; 10:cells10020362. [PMID: 33572408 PMCID: PMC7916199 DOI: 10.3390/cells10020362] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/30/2021] [Accepted: 02/02/2021] [Indexed: 11/17/2022] Open
Abstract
Avian genomes typically consist of ~10 pairs of macro- and ~30 pairs of microchromosomes. While inter-chromosomally, a pattern emerges of very little change (with notable exceptions) throughout evolution, intrachromosomal changes remain relatively poorly studied. To rectify this, here we use a pan-avian universally hybridising set of 74 chicken bacterial artificial chromosome (BAC) probes on the macrochromosomes of eight bird species: common blackbird, Atlantic canary, Eurasian woodcock, helmeted guinea fowl, houbara bustard, mallard duck, and rock dove. A combination of molecular cytogenetic, bioinformatics, and mathematical analyses allowed the building of comparative cytogenetic maps, reconstruction of a putative Neognathae ancestor, and assessment of chromosome rearrangement patterns and phylogenetic relationships in the studied neognath lineages. We observe that, as with our previous studies, chicken appears to have the karyotype most similar to the ancestor; however, previous reports of an increased rate of intrachromosomal change in Passeriformes (songbirds) appear not to be the case in our dataset. The use of this universally hybridizing probe set is applicable not only for the re-tracing of avian karyotype evolution but, potentially, for reconstructing genome assemblies.
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22
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Li J, Zhang J, Liu J, Zhou Y, Cai C, Xu L, Dai X, Feng S, Guo C, Rao J, Wei K, Jarvis ED, Jiang Y, Zhou Z, Zhang G, Zhou Q. A new duck genome reveals conserved and convergently evolved chromosome architectures of birds and mammals. Gigascience 2021; 10:giaa142. [PMID: 33406261 PMCID: PMC7787181 DOI: 10.1093/gigascience/giaa142] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 10/31/2020] [Accepted: 11/16/2020] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Ducks have a typical avian karyotype that consists of macro- and microchromosomes, but a pair of much less differentiated ZW sex chromosomes compared to chickens. To elucidate the evolution of chromosome architectures between ducks and chickens, and between birds and mammals, we produced a nearly complete chromosomal assembly of a female Pekin duck by combining long-read sequencing and multiplatform scaffolding techniques. RESULTS A major improvement of genome assembly and annotation quality resulted from the successful resolution of lineage-specific propagated repeats that fragmented the previous Illumina-based assembly. We found that the duck topologically associated domains (TAD) are demarcated by putative binding sites of the insulator protein CTCF, housekeeping genes, or transitions of active/inactive chromatin compartments, indicating conserved mechanisms of spatial chromosome folding with mammals. There are extensive overlaps of TAD boundaries between duck and chicken, and also between the TAD boundaries and chromosome inversion breakpoints. This suggests strong natural selection pressure on maintaining regulatory domain integrity, or vulnerability of TAD boundaries to DNA double-strand breaks. The duck W chromosome retains 2.5-fold more genes relative to chicken. Similar to the independently evolved human Y chromosome, the duck W evolved massive dispersed palindromic structures, and a pattern of sequence divergence with the Z chromosome that reflects stepwise suppression of homologous recombination. CONCLUSIONS Our results provide novel insights into the conserved and convergently evolved chromosome features of birds and mammals, and also importantly add to the genomic resources for poultry studies.
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Affiliation(s)
- Jing Li
- MOE Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Jilin Zhang
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 5 Nobels väg, Stockholm 17177, Sweden
| | - Jing Liu
- MOE Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
- Department of Neuroscience and Developmental Biology, University of Vienna, 1 Universitätsring, Vienna 1090, Austria
| | - Yang Zhou
- BGI-Shenzhen, 146 Beishan Industrial Zone, Shenzhen 518083, China
| | - Cheng Cai
- MOE Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Luohao Xu
- MOE Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
- Department of Neuroscience and Developmental Biology, University of Vienna, 1 Universitätsring, Vienna 1090, Austria
| | - Xuelei Dai
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, 3 Taicheng Road, Yangling 712100, China
| | - Shaohong Feng
- BGI-Shenzhen, 146 Beishan Industrial Zone, Shenzhen 518083, China
| | - Chunxue Guo
- BGI-Shenzhen, 146 Beishan Industrial Zone, Shenzhen 518083, China
| | - Jinpeng Rao
- Center for Reproductive Medicine, The 2nd Affiliated Hospital, School of Medicine, Zhejiang University, 88 Jiefang Road, Hangzhou 310052, China
| | - Kai Wei
- Center for Reproductive Medicine, The 2nd Affiliated Hospital, School of Medicine, Zhejiang University, 88 Jiefang Road, Hangzhou 310052, China
| | - Erich D Jarvis
- Laboratory of Neurogenetics of Language, The Rockefeller University, 1230 York Ave, NY 10065, USA
- Howard Hughes Medical Institute, 4000 Jones Bridge Road, Chevy Chase, MD 20815, USA
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, 3 Taicheng Road, Yangling 712100, China
| | - Zhengkui Zhou
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, 12 Zhong Guan Cun Da Jie, Beijing, China
| | - Guojie Zhang
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 32 East Jiaochang Road, Kunming 650223, China
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, 10 Nørregade, DK-2100 Copenhagen, Denmark
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 32 East Jiaochang Road, Kunming 650223, China
| | - Qi Zhou
- MOE Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
- Department of Neuroscience and Developmental Biology, University of Vienna, 1 Universitätsring, Vienna 1090, Austria
- Center for Reproductive Medicine, The 2nd Affiliated Hospital, School of Medicine, Zhejiang University, 88 Jiefang Road, Hangzhou 310052, China
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23
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Minkin I, Medvedev P. Scalable multiple whole-genome alignment and locally collinear block construction with SibeliaZ. Nat Commun 2020; 11:6327. [PMID: 33303762 PMCID: PMC7728760 DOI: 10.1038/s41467-020-19777-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Accepted: 10/29/2020] [Indexed: 11/29/2022] Open
Abstract
Multiple whole-genome alignment is a challenging problem in bioinformatics. Despite many successes, current methods are not able to keep up with the growing number, length, and complexity of assembled genomes, especially when computational resources are limited. Approaches based on compacted de Bruijn graphs to identify and extend anchors into locally collinear blocks have potential for scalability, but current methods do not scale to mammalian genomes. We present an algorithm, SibeliaZ-LCB, for identifying collinear blocks in closely related genomes based on analysis of the de Bruijn graph. We further incorporate this into a multiple whole-genome alignment pipeline called SibeliaZ. SibeliaZ shows run-time improvements over other methods while maintaining accuracy. On sixteen recently-assembled strains of mice, SibeliaZ runs in under 16 hours on a single machine, while other tools did not run to completion for eight mice within a week. SibeliaZ makes a significant step towards improving scalability of multiple whole-genome alignment and collinear block reconstruction algorithms on a single machine.
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Affiliation(s)
- Ilia Minkin
- Department of Computer Science and Engineering, The Pennsylvania State University, 506 Wartik Lab University Park, University Park, PA, 16802, USA.
| | - Paul Medvedev
- Department of Computer Science and Engineering, The Pennsylvania State University, 506 Wartik Lab University Park, University Park, PA, 16802, USA
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, 506 Wartik Lab University Park, University Park, PA, 16802, USA
- Center for Computational Biology and Bioinformatics, The Pennsylvania State University, 506 Wartik Lab University Park, University Park, PA, 16802, USA
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24
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Abstract
The study of chromosome evolution is undergoing a resurgence of interest owing to advances in DNA sequencing technology that facilitate the production of chromosome-scale whole-genome assemblies de novo. This review focuses on the history, methods, discoveries, and current challenges facing the field, with an emphasis on vertebrate genomes. A detailed examination of the literature on the biology of chromosome rearrangements is presented, specifically the relationship between chromosome rearrangements and phenotypic evolution, adaptation, and speciation. A critical review of the methods for identifying, characterizing, and visualizing chromosome rearrangements and computationally reconstructing ancestral karyotypes is presented. We conclude by looking to the future, identifying the enormous technical and scientific challenges presented by the accumulation of hundreds and eventually thousands of chromosome-scale assemblies.
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Affiliation(s)
- Joana Damas
- The Genome Center, University of California, Davis, California 95616, USA; , ,
| | - Marco Corbo
- The Genome Center, University of California, Davis, California 95616, USA; , ,
| | - Harris A Lewin
- The Genome Center, University of California, Davis, California 95616, USA; , , .,Department of Evolution and Ecology, College of Biological Sciences, University of California, Davis, California 95616, USA
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25
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Greenman CD, Penso-Dolfin L, Wu T. The complexity of genome rearrangement combinatorics under the infinite sites model. J Theor Biol 2020; 501:110335. [DOI: 10.1016/j.jtbi.2020.110335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Revised: 04/16/2020] [Accepted: 05/14/2020] [Indexed: 11/30/2022]
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26
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Minkin I, Medvedev P. Scalable Pairwise Whole-Genome Homology Mapping of Long Genomes with BubbZ. iScience 2020; 23:101224. [PMID: 32563153 PMCID: PMC7303978 DOI: 10.1016/j.isci.2020.101224] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 05/25/2020] [Accepted: 05/28/2020] [Indexed: 11/17/2022] Open
Abstract
Pairwise whole-genome homology mapping is the problem of finding all pairs of homologous intervals between a pair of genomes. As the number of available whole genomes has been rising dramatically in the last few years, there has been a need for more scalable homology mappers. In this paper, we develop an algorithm (BubbZ) for computing whole-genome pairwise homology mappings, especially in the context of all-to-all comparison for multiple genomes. BubbZ is based on an algorithm for computing chains in compacted de Bruijn graphs. We evaluate BubbZ on simulated datasets, a dataset composed of 16 long mouse genomes, and a large dataset of 1,600 Salmonella genomes. We show up to approximately an order of magnitude speed improvement, compared with MashMap2 and Minimap2, while retaining similar accuracy.
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Affiliation(s)
- Ilia Minkin
- Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
| | - Paul Medvedev
- Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA 16802, USA; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA; Center for Computational Biology and Bioinformatics, The Pennsylvania State University, University Park, PA 16802, USA.
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27
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Sanchez-Mut JV, Glauser L, Monk D, Gräff J. Comprehensive analysis of PM20D1 QTL in Alzheimer's disease. Clin Epigenetics 2020; 12:20. [PMID: 32014019 PMCID: PMC6998837 DOI: 10.1186/s13148-020-0814-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 01/15/2020] [Indexed: 12/21/2022] Open
Abstract
Background Alzheimer’s disease (AD) is a complex disorder caused by a combination of genetic and non-genetic risk factors. In addition, an increasing evidence suggests that epigenetic mechanisms also accompany AD. Genetic and epigenetic factors are not independent, but multiple loci show genetic-epigenetic interactions, the so-called quantitative trait loci (QTLs). Recently, we identified the first QTL association with AD, namely Peptidase M20 Domain Containing 1 (PM20D1). We observed that PM20D1 DNA methylation, RNA expression, and genetic background are correlated and, in turn, associated with AD. We provided mechanistic insights for these correlations and had shown that by genetically increasing and decreasing PM20D1 levels, AD-related pathologies were decreased and accelerated, respectively. However, since the PM20D1 QTL region encompasses also other genes, namely Nuclear Casein Kinase and Cyclin Dependent Kinase Substrate 1 (NUCKS1); RAB7, member RAS oncogene family-like 1 (RAB7L1); and Solute Carrier Family 41 Member 1 (SLC41A1), we investigated whether these genes might also contribute to the described AD association. Results Here, we report a comprehensive analysis of these QTL genes using a repertoire of in silico methods as well as in vivo and in vitro experimental approaches. First, we analyzed publicly available databases to pinpoint the major QTL correlations. Then, we validated these correlations using a well-characterized set of samples and locus-specific approaches—i.e., Sanger sequencing for the genotype, cloning/sequencing and pyrosequencing for the DNA methylation, and allele-specific and real-time PCR for the RNA expression. Finally, we defined the functional relevance of the observed alterations in the context of AD in vitro. Using this approach, we show that only PM20D1 DNA methylation and expression are significantly correlated with the AD-risk associated background. We find that the expression of SLC41A1 and PM20D1—but not NUCKS1 and RAB7L1—is increased in mouse models and human samples of AD, respectively. However, SLC41A1 and PM20D1 are differentially regulated by AD-related stressors, with only PM20D1 being upregulated by amyloid-β and reactive oxygen species, and with only PM20D1 being neuroprotective when overexpressed in cell and primary cultures. Conclusions Our findings reinforce PM20D1 as the most likely gene responsible of the previously reported PM20D1 QTL association with AD.
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Affiliation(s)
- Jose Vicente Sanchez-Mut
- Laboratory of Neuroepigenetics, Brain Mind Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, CH-1015, Lausanne, Switzerland.
| | - Liliane Glauser
- Laboratory of Neuroepigenetics, Brain Mind Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, CH-1015, Lausanne, Switzerland
| | - David Monk
- Genomic Imprinting Cancer Group, Institut d'Investigació Biomedica de Bellvitge, E-08908, Barcelona, Spain.,Biomedical Research Centre, School of Biological Sciences, University of East Anglia, NR4 7TJ, Norwich, UK
| | - Johannes Gräff
- Laboratory of Neuroepigenetics, Brain Mind Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, CH-1015, Lausanne, Switzerland.
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Abyaneh HS, Regenold M, McKee TD, Allen C, Gauthier MA. Towards extracellular matrix normalization for improved treatment of solid tumors. Theranostics 2020; 10:1960-1980. [PMID: 32042347 PMCID: PMC6993244 DOI: 10.7150/thno.39995] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 12/09/2019] [Indexed: 12/18/2022] Open
Abstract
It is currently challenging to eradicate cancer. In the case of solid tumors, the dense and aberrant extracellular matrix (ECM) is a major contributor to the heterogeneous distribution of small molecule drugs and nano-formulations, which makes certain areas of the tumor difficult to treat. As such, much research is devoted to characterizing this matrix and devising strategies to modify its properties as a means to facilitate the improved penetration of drugs and their nano-formulations. This contribution presents the current state of knowledge on the composition of normal ECM and changes to ECM that occur during the pathological progression of cancer. It also includes discussion of strategies designed to modify the composition/properties of the ECM as a means to enhance the penetration and transport of drugs and nano-formulations within solid tumors. Moreover, a discussion of approaches to image the ECM, as well as ways to monitor changes in the ECM as a function of time are presented, as these are important for the implementation of ECM-modifying strategies within therapeutic interventions. Overall, considering the complexity of the ECM, its variability within different tissues, and the multiple pathways by which homeostasis is maintained (both in normal and malignant tissues), the available literature - while promising - suggests that improved monitoring of ECM remodeling in vivo is needed to harness the described strategies to their full potential, and match them with an appropriate chemotherapy regimen.
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Affiliation(s)
- Hoda Soleymani Abyaneh
- Institut National de la Recherche Scientifique (INRS), EMT Research Center, 1650 boul. Lionel-Boulet, Varennes, J3X 1S2, Canada
- Leslie Dan Faculty of Pharmacy, University of Toronto, 144 College Street, Toronto, Ontario M5S 3M2, Canada
| | - Maximilian Regenold
- Leslie Dan Faculty of Pharmacy, University of Toronto, 144 College Street, Toronto, Ontario M5S 3M2, Canada
| | - Trevor D. McKee
- STTARR Innovation Centre, University Health Network, 101 College Street Room 7-504, Toronto, Ontario M5G 1L7, Canada
| | - Christine Allen
- Leslie Dan Faculty of Pharmacy, University of Toronto, 144 College Street, Toronto, Ontario M5S 3M2, Canada
| | - Marc A. Gauthier
- Institut National de la Recherche Scientifique (INRS), EMT Research Center, 1650 boul. Lionel-Boulet, Varennes, J3X 1S2, Canada
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Glugoski L, Deon G, Schott S, Vicari MR, Nogaroto V, Moreira-Filho O. Comparative cytogenetic analyses in Ancistrus species (Siluriformes: Loricariidae). NEOTROPICAL ICHTHYOLOGY 2020. [DOI: 10.1590/1982-0224-2020-0013] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
ABSTRACT Ancistrus is a specious genus of armored catfishes that has been extensively used for cytogenetic studies in the last 17 years. A comparison of the extensive karyotypic plasticity within this genus is presented with new cytogenetic analysis for Ancistrus cf. multispinis and Ancistrus aguaboensis. This study aims to improve our understanding of chromosomal evolution associated with changes in the diploid number (2n) and the dispersion of ribosomal DNAs (rDNAs) within Ancistrus. Ancistrus cf. multispinis and A. aguaboensis exhibit 2n of 52 and 50 chromosomes, respectively. Given that A. cf. multispinis shares a 2n = 52 also found in Pterygoplichthyini, the sister group for Ancistrini, a Robertsonian (Rb) fusion event is proposed for the 2n reduction in A. aguaboensis. 5S rDNAs pseudogenes sites have already been associated with Rb fusion in Ancistrus and our analysis suggests that the 2n reduction in A. aguaboensis was triggered by double strand breaks (DSBs) and chromosomal rearrangements at 5S rDNA sites. The presence of evolutionary breakpoint regions (EBRs) into rDNA cluster is proposed to explain part of the Rb fusion in Ancistrus. Cytogenetic data presented extends the diversity already documented in Ancistrus to further understand the role of chromosomal rearrangements in the diversification of Ancistrini.
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Affiliation(s)
| | - Geize Deon
- Universidade Federal de São Carlos, Brazil
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30
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Jenko Bizjan B, Katsila T, Tesovnik T, Šket R, Debeljak M, Matsoukas MT, Kovač J. Challenges in identifying large germline structural variants for clinical use by long read sequencing. Comput Struct Biotechnol J 2019; 18:83-92. [PMID: 32099591 PMCID: PMC7026727 DOI: 10.1016/j.csbj.2019.11.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Revised: 11/07/2019] [Accepted: 11/21/2019] [Indexed: 12/30/2022] Open
Abstract
Genomic structural variations, previously considered rare events, are widely recognized as a major source of inter-individual variability and hence, a major hurdle in optimum patient stratification and disease management. Herein, we focus on large complex germline structural variations and present challenges towards target treatment via the synergy of state-of-the-art approaches and information technology tools. A complex structural variation detection remains challenging, as there is no gold standard for identifying such genomic variations with long reads, especially when the chromosomal rearrangement in question is a few Mb in length. A clinical case with a large complex chromosomal rearrangement serves as a paradigm. We feel that functional validation and data interpretation are of outmost importance for information growth to be translated into knowledge growth and hence, new working practices are highlighted.
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Affiliation(s)
- Barbara Jenko Bizjan
- Clinical Institute of Special Laboratory Diagnostics, University Children’s Hospital, UMC, Ljubljana, Slovenia
| | - Theodora Katsila
- Institute of Chemical Biology, National Hellenic Research Centre, Athens, Greece
| | - Tine Tesovnik
- Clinical Institute of Special Laboratory Diagnostics, University Children’s Hospital, UMC, Ljubljana, Slovenia
| | - Robert Šket
- Clinical Institute of Special Laboratory Diagnostics, University Children’s Hospital, UMC, Ljubljana, Slovenia
| | - Maruša Debeljak
- Clinical Institute of Special Laboratory Diagnostics, University Children’s Hospital, UMC, Ljubljana, Slovenia
| | | | - Jernej Kovač
- Clinical Institute of Special Laboratory Diagnostics, University Children’s Hospital, UMC, Ljubljana, Slovenia
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Belak ZR, Pickering JA, Gillespie ZE, Audette G, Eramian M, Mitchell JA, Bridger JM, Kusalik A, Eskiw CH. Genes responsive to rapamycin and serum deprivation are clustered on chromosomes and undergo reorganization within local chromatin environments. Biochem Cell Biol 2019; 98:178-190. [PMID: 31479623 DOI: 10.1139/bcb-2019-0096] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
We previously demonstrated that genome reorganization, through chromosome territory repositioning, occurs concurrently with significant changes in gene expression in normal primary human fibroblasts treated with the drug rapamycin, or stimulated into quiescence. Although these events occurred concomitantly, it is unclear how specific changes in gene expression relate to reorganization of the genome at higher resolution. We used computational analyses, genome organization assays, and microscopy, to investigate the relationship between chromosome territory positioning and gene expression. We determined that despite relocation of chromosome territories, there was no substantial bias in the proportion of genes changing expression on any one chromosome, including chromosomes 10 and 18. Computational analyses identified that clusters of serum deprivation and rapamycin-responsive genes along the linear extent of chromosomes. Chromosome conformation capture (3C) analysis demonstrated the strengthening or loss of specific long-range chromatin interactions in response to rapamycin and quiescence induction, including a cluster of genes containing Interleukin-8 and several chemokine genes on chromosome 4. We further observed that the LIF gene, which is highly induced upon rapamycin treatment, strengthened interactions with up- and down-stream intergenic regions. Our findings indicate that the repositioning of chromosome territories in response to cell stimuli, this does not reflect gene expression changes occurring within physically clustered groups of genes.
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Affiliation(s)
- Zachery R Belak
- Department of Food and Bioproduct Sciences, University of Saskatchewan, SK S7N 5A8, Canada
| | - Joshua A Pickering
- Department of Biochemistry, University of Saskatchewan, SK S7N 5E5, Canada
| | - Zoe E Gillespie
- Department of Biochemistry, University of Saskatchewan, SK S7N 5E5, Canada
| | - Gerald Audette
- Department of Chemistry, York University, ON M3J 1P3, Canada
| | - Mark Eramian
- Department of Computer Science, University of Saskatchewan, SK S7N 5C9, Canada
| | - Jennifer A Mitchell
- Department of Cell and Systems Biology, University of Toronto, ON M5S 3G5, Canada
| | - Joanna M Bridger
- Department of Life Sciences, Brunel University, Uxbridge, UB8 3PH, UK
| | - Anthony Kusalik
- Department of Computer Science, University of Saskatchewan, SK S7N 5C9, Canada
| | - Christopher H Eskiw
- Department of Food and Bioproduct Sciences, University of Saskatchewan, SK S7N 5A8, Canada.,Department of Biochemistry, University of Saskatchewan, SK S7N 5E5, Canada
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Genome reorganization in different cancer types: detection of cancer specific breakpoint regions. Mol Cytogenet 2019; 12:25. [PMID: 31249626 PMCID: PMC6585066 DOI: 10.1186/s13039-019-0435-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 05/15/2019] [Indexed: 01/11/2023] Open
Abstract
Background Tumorigenesis is a multi-step process which is accompanied by substantial changes in genome organization. The development of these changes is not only a random process, but rather comprise specific DNA regions that are prone to the reorganization process. Results We have analyzed previously published SNP arrays from three different cancer types (pancreatic adenocarcinoma, breast cancer and metastatic melanoma) and from non-malignant control samples. We calculated segmental copy number variations as well as breakpoint regions. Some of these regions were not randomly involved in genome reorganization since we detected fifteen of them in at least 20% of all tumor samples and one region on chromosome 9 where 43% of tumors have a breakpoint. Further, the top-15 breakpoint regions show an association to known fragile sites. The relevance of these common breakpoint regions was further confirmed by analyzing SNP arrays from 917 cancer cell lines. Conclusion Our analyses suggest that genome reorganization is common in tumorigenesis and that some breakpoint regions can be found across all cancer types, while others exclusively occur in specific entities.
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33
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Griffin DK, Larkin DM, O'Connor RE. Time lapse: A glimpse into prehistoric genomics. Eur J Med Genet 2019; 63:103640. [PMID: 30922926 PMCID: PMC7026692 DOI: 10.1016/j.ejmg.2019.03.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 03/10/2019] [Indexed: 11/28/2022]
Abstract
For the purpose of this review, ‘time-lapse’ refers to the reconstruction of ancestral (in this case dinosaur) karyotypes using genome assemblies of extant species. Such reconstructions are only usually possible when genomes are assembled to ‘chromosome level’ i.e. a complete representation of all the sequences, correctly ordered contiguously on each of the chromosomes. Recent paleontological evidence is very clear that birds are living dinosaurs, the latest example of dinosaurs emerging from a catastrophic extinction event. Non-avian dinosaurs (ever present in the public imagination through art, and broadcast media) emerged some 240 million years ago and have displayed incredible phenotypic diversity. Here we report on our recent studies to infer the overall karyotype of the Theropod dinosaur lineage from extant avian chromosome level genome assemblies. Our work first focused on determining the likely karyotype of the avian ancestor (most likely a chicken-sized, two-legged, feathered, land dinosaur from the Jurassic period) finding karyotypic similarity to the chicken. We then took the work further to determine the likely karyotype of the bird-lizard ancestor and the chromosomal changes (chiefly translocations and inversions) that occurred between then and modern birds. A combination of bioinformatics and cross-species fluorescence in situ hybridization (zoo-FISH) uncovered a considerable number of translocations and fissions from a ‘lizard-like’ genome structure of 2n = 36–46 to one similar to that of soft-shelled turtles (2n = 66) from 275 to 255 million years ago (mya). Remarkable karyotypic similarities between some soft-shelled turtles and chicken suggests that there were few translocations from the bird-turtle ancestor (plus ∼7 fissions) through the dawn of the dinosaurs and pterosaurs, through the theropod linage and on to most to modern birds. In other words, an avian-like karyotype was in place about 240mya when the dinosaurs and pterosaurs first emerged. We mapped 49 chromosome inversions from then to the present day, uncovering some gene ontology enrichment in evolutionary breakpoint regions. This avian-like karyotype with its many (micro)chromosomes provides the basis for variation (the driver of natural selection) through increased random segregation and recombination. It may therefore contribute to the ability of dinosaurs to survive multiple extinction events, emerging each time as speciose and diverse.
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Affiliation(s)
- Darren K Griffin
- School of Biosciences, University of Kent, Canterbury, CT2 7NJ, UK.
| | - Denis M Larkin
- Department of Comparative Biomedical Sciences, Royal Veterinary College, University of London, London, NW1 0TU, UK.
| | - Rebecca E O'Connor
- School of Biosciences, University of Kent, Canterbury, CT2 7NJ, UK. R.O'
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34
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Oliveira da Silva W, Rodrigues da Costa MJ, Pieczarka JC, Rissino J, Pereira JC, Ferguson-Smith MA, Nagamachi CY. Identification of two independent X-autosome translocations in closely related mammalian (Proechimys) species. Sci Rep 2019; 9:4047. [PMID: 30858413 PMCID: PMC6411977 DOI: 10.1038/s41598-019-40593-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 02/19/2019] [Indexed: 11/13/2022] Open
Abstract
Multiple sex chromosome systems have been described for several mammalian orders, with different species from the same genus sharing the same system (e.g., X1X2Y or XY1Y2). This is important because the translocated autosome may be influenced by the evolution of the recipient sex chromosome, and this may be related to speciation. It is often thought that the translocation of an autosome to a sex chromosome may share a common origin among phylogenetically related species. However, the neo-X chromosomes of Proechimys goeldii (2n = 24♀, 25♂/NFa = 42) and Proechimys gr. goeldii (2n = 16♀, 17♂/NFa = 14) have distinct sizes and morphologies that have made it difficult to determine whether they have the same or different origins. This study investigates the origins of the XY1Y2 sex chromosome determination system in P. goeldii (PGO) and P. gr. goeldii (PGG) and elucidates the chromosomal rearrangements in this low-diploid-number group of Proechimys species. Toward this end, we produced whole-chromosome probes for P. roberti (PRO; 2n = 30♂/NFa = 54) and P. goeldii (2n = 25♂/NFa = 42) and used them in comparative chromosomal mapping. Our analysis reveals that multiple translocations and inversions are responsible for the karyotype diversity of these species, with only three whole-chromosomes conserved between PRO and PGO and eight between PGO and PGG. Our data indicate that multiple sex chromosome systems have originated twice in Proechimys. As small populations are prone to the fixation of chromosomal rearrangements, we speculate that biological features of Rodentia contribute to this fixation. We also highlight the potential of these rodents as a model for studying sex chromosome evolution.
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Affiliation(s)
- Willam Oliveira da Silva
- Centro de Estudos Avançados da Biodiversidade, Laboratório de Citogenética, ICB, Universidade Federal do Pará, Belém, Pará, Brazil.,Cambridge Resource Centre for Comparative Genomics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | | | - Julio Cesar Pieczarka
- Centro de Estudos Avançados da Biodiversidade, Laboratório de Citogenética, ICB, Universidade Federal do Pará, Belém, Pará, Brazil
| | - Jorge Rissino
- Centro de Estudos Avançados da Biodiversidade, Laboratório de Citogenética, ICB, Universidade Federal do Pará, Belém, Pará, Brazil
| | - Jorge C Pereira
- Cambridge Resource Centre for Comparative Genomics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Malcolm Andrew Ferguson-Smith
- Cambridge Resource Centre for Comparative Genomics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Cleusa Yoshiko Nagamachi
- Centro de Estudos Avançados da Biodiversidade, Laboratório de Citogenética, ICB, Universidade Federal do Pará, Belém, Pará, Brazil.
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The molecular characterization of fixed inversions breakpoints unveils the ancestral character of the Drosophila guanche chromosomal arrangements. Sci Rep 2019; 9:1706. [PMID: 30737415 PMCID: PMC6368638 DOI: 10.1038/s41598-018-37121-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 12/04/2018] [Indexed: 12/20/2022] Open
Abstract
Cytological studies revealed that the number of chromosomes and their organization varies across species. The increasing availability of whole genome sequences of multiple species across specific phylogenies has confirmed and greatly extended these cytological observations. In the Drosophila genus, the ancestral karyotype consists of five rod-like acrocentric chromosomes (Muller elements A to E) and one dot-like chromosome (element F), each exhibiting a generally conserved gene content. Chromosomal fusions and paracentric inversions are thus the major contributors, respectively, to chromosome number variation among species and to gene order variation within chromosomal element. The subobscura cluster of Drosophila consists in three species that retain the genus ancestral karyotype and differ by a reduced number of fixed inversions. Here, we have used cytological information and the D. guanche genome sequence to identify and molecularly characterize the breakpoints of inversions that became fixed since the D. guanche-D. subobscura split. Our results have led us to propose a modified version of the D. guanche cytological map of its X chromosome, and to establish that (i) most inversions became fixed in the D. subobscura lineage and (ii) the order in which the four X chromosome overlapping inversions occurred and became fixed.
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36
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Kapun M, Flatt T. The adaptive significance of chromosomal inversion polymorphisms inDrosophila melanogaster. Mol Ecol 2018; 28:1263-1282. [DOI: 10.1111/mec.14871] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Revised: 09/01/2018] [Accepted: 09/10/2018] [Indexed: 12/17/2022]
Affiliation(s)
- Martin Kapun
- Department of BiologyUniversity of Fribourg Fribourg Switzerland
| | - Thomas Flatt
- Department of BiologyUniversity of Fribourg Fribourg Switzerland
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Kolmogorov M, Armstrong J, Raney BJ, Streeter I, Dunn M, Yang F, Odom D, Flicek P, Keane TM, Thybert D, Paten B, Pham S. Chromosome assembly of large and complex genomes using multiple references. Genome Res 2018; 28:1720-1732. [PMID: 30341161 PMCID: PMC6211643 DOI: 10.1101/gr.236273.118] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 09/24/2018] [Indexed: 11/25/2022]
Abstract
Despite the rapid development of sequencing technologies, the assembly of mammalian-scale genomes into complete chromosomes remains one of the most challenging problems in bioinformatics. To help address this difficulty, we developed Ragout 2, a reference-assisted assembly tool that works for large and complex genomes. By taking one or more target assemblies (generated from an NGS assembler) and one or multiple related reference genomes, Ragout 2 infers the evolutionary relationships between the genomes and builds the final assemblies using a genome rearrangement approach. By using Ragout 2, we transformed NGS assemblies of 16 laboratory mouse strains into sets of complete chromosomes, leaving <5% of sequence unlocalized per set. Various benchmarks, including PCR testing and realigning of long Pacific Biosciences (PacBio) reads, suggest only a small number of structural errors in the final assemblies, comparable with direct assembly approaches. We applied Ragout 2 to the Mus caroli and Mus pahari genomes, which exhibit karyotype-scale variations compared with other genomes from the Muridae family. Chromosome painting maps confirmed most large-scale rearrangements that Ragout 2 detected. We applied Ragout 2 to improve draft sequences of three ape genomes that have recently been published. Ragout 2 transformed three sets of contigs (generated using PacBio reads only) into chromosome-scale assemblies with accuracy comparable to chromosome assemblies generated in the original study using BioNano maps, Hi-C, BAC clones, and FISH.
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Affiliation(s)
- Mikhail Kolmogorov
- Department of Computer Science and Engineering, University of California, San Diego, California 92093, USA
| | - Joel Armstrong
- Center for Biomolecular Science and Engineering, University of California, Santa Cruz, California 95064, USA
| | - Brian J Raney
- Center for Biomolecular Science and Engineering, University of California, Santa Cruz, California 95064, USA
| | - Ian Streeter
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, United Kingdom
| | - Matthew Dunn
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, United Kingdom
| | - Fengtang Yang
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, United Kingdom
| | - Duncan Odom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, CB2 0RE Cambridge, United Kingdom
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, United Kingdom
| | - Thomas M Keane
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, United Kingdom
- School of Life Sciences, University of Nottingham, Nottingham NG7 2NR, United Kingdom
| | - David Thybert
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, United Kingdom
- Earlham Institute, Norwich Research Park, Norwich NR4 7UG, United Kingdom
| | - Benedict Paten
- Center for Biomolecular Science and Engineering, University of California, Santa Cruz, California 95064, USA
| | - Son Pham
- BioTuring Incorporated, San Diego, California 92121, USA
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Krefting J, Andrade-Navarro MA, Ibn-Salem J. Evolutionary stability of topologically associating domains is associated with conserved gene regulation. BMC Biol 2018; 16:87. [PMID: 30086749 PMCID: PMC6091198 DOI: 10.1186/s12915-018-0556-x] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Accepted: 07/26/2018] [Indexed: 12/18/2022] Open
Abstract
Background The human genome is highly organized in the three-dimensional nucleus. Chromosomes fold locally into topologically associating domains (TADs) defined by increased intra-domain chromatin contacts. TADs contribute to gene regulation by restricting chromatin interactions of regulatory sequences, such as enhancers, with their target genes. Disruption of TADs can result in altered gene expression and is associated to genetic diseases and cancers. However, it is not clear to which extent TAD regions are conserved in evolution and whether disruption of TADs by evolutionary rearrangements can alter gene expression. Results Here, we hypothesize that TADs represent essential functional units of genomes, which are stable against rearrangements during evolution. We investigate this using whole-genome alignments to identify evolutionary rearrangement breakpoints of different vertebrate species. Rearrangement breakpoints are strongly enriched at TAD boundaries and depleted within TADs across species. Furthermore, using gene expression data across many tissues in mouse and human, we show that genes within TADs have more conserved expression patterns. Disruption of TADs by evolutionary rearrangements is associated with changes in gene expression profiles, consistent with a functional role of TADs in gene expression regulation. Conclusions Together, these results indicate that TADs are conserved building blocks of genomes with regulatory functions that are often reshuffled as a whole instead of being disrupted by rearrangements. Electronic supplementary material The online version of this article (10.1186/s12915-018-0556-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jan Krefting
- Faculty of Biology, Johannes Gutenberg University of Mainz, 55128, Mainz, Germany.,Institute of Molecular Biology, 55128, Mainz, Germany
| | - Miguel A Andrade-Navarro
- Faculty of Biology, Johannes Gutenberg University of Mainz, 55128, Mainz, Germany.,Institute of Molecular Biology, 55128, Mainz, Germany
| | - Jonas Ibn-Salem
- Faculty of Biology, Johannes Gutenberg University of Mainz, 55128, Mainz, Germany. .,Institute of Molecular Biology, 55128, Mainz, Germany.
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Lee J, Lee D, Sim M, Kwon D, Kim J, Ko Y, Kim J. mySyntenyPortal: an application package to construct websites for synteny block analysis. BMC Bioinformatics 2018; 19:216. [PMID: 29871588 PMCID: PMC5989462 DOI: 10.1186/s12859-018-2219-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 05/28/2018] [Indexed: 01/01/2023] Open
Abstract
Background Advances in sequencing technologies have facilitated large-scale comparative genomics based on whole genome sequencing. Constructing and investigating conserved genomic regions among multiple species (called synteny blocks) are essential in the comparative genomics. However, they require significant amounts of computational resources and time in addition to bioinformatics skills. Many web interfaces have been developed to make such tasks easier. However, these web interfaces cannot be customized for users who want to use their own set of genome sequences or definition of synteny blocks. Results To resolve this limitation, we present mySyntenyPortal, a stand-alone application package to construct websites for synteny block analyses by using users’ own genome data. mySyntenyPortal provides both command line and web-based interfaces to build and manage websites for large-scale comparative genomic analyses. The websites can be also easily published and accessed by other users. To demonstrate the usability of mySyntenyPortal, we present an example study for building websites to compare genomes of three mammalian species (human, mouse, and cow) and show how they can be easily utilized to identify potential genes affected by genome rearrangements. Conclusions mySyntenyPortal will contribute for extended comparative genomic analyses based on large-scale whole genome sequences by providing unique functionality to support the easy creation of interactive websites for synteny block analyses from user’s own genome data.
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Affiliation(s)
- Jongin Lee
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, South Korea
| | - Daehwan Lee
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, South Korea
| | - Mikang Sim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, South Korea
| | - Daehong Kwon
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, South Korea
| | - Juyeon Kim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, South Korea
| | - Younhee Ko
- Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, 17035, South Korea
| | - Jaebum Kim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, South Korea.
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O'Connor RE, Romanov MN, Kiazim LG, Barrett PM, Farré M, Damas J, Ferguson-Smith M, Valenzuela N, Larkin DM, Griffin DK. Reconstruction of the diapsid ancestral genome permits chromosome evolution tracing in avian and non-avian dinosaurs. Nat Commun 2018; 9:1883. [PMID: 29784931 PMCID: PMC5962605 DOI: 10.1038/s41467-018-04267-9] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 04/12/2018] [Indexed: 01/07/2023] Open
Abstract
Genomic organisation of extinct lineages can be inferred from extant chromosome-level genome assemblies. Here, we apply bioinformatic and molecular cytogenetic approaches to determine the genomic structure of the diapsid common ancestor. We then infer the events that likely occurred along this lineage from theropod dinosaurs through to modern birds. Our results suggest that most elements of a typical ‘avian-like’ karyotype (40 chromosome pairs, including 30 microchromosomes) were in place before the divergence of turtles from birds ~255 mya. This genome organisation therefore predates the emergence of early dinosaurs and pterosaurs and the evolution of flight. Remaining largely unchanged interchromosomally through the dinosaur–theropod route that led to modern birds, intrachromosomal changes nonetheless reveal evolutionary breakpoint regions enriched for genes with ontology terms related to chromatin organisation and transcription. This genomic structure therefore appears highly stable yet contributes to a large degree of phenotypic diversity, as well as underpinning adaptive responses to major environmental disruptions via intrachromosomal repatterning. Ancient diapsids diverged into the lineages leading to turtles and birds over 250 million years ago. Here, the authors use genomic and molecular cytogenetic analyses of modern species to infer the genome structure of the diapsid common ancestor (DCA) and the changes occurring along the lineage to birds through theropod dinosaurs.
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Affiliation(s)
- Rebecca E O'Connor
- School of Biosciences, University of Kent, Canterbury, Kent, CT2 7NJ, UK
| | - Michael N Romanov
- School of Biosciences, University of Kent, Canterbury, Kent, CT2 7NJ, UK
| | - Lucas G Kiazim
- School of Biosciences, University of Kent, Canterbury, Kent, CT2 7NJ, UK
| | - Paul M Barrett
- Department of Earth Sciences, Natural History Museum, Cromwell Road, London, SW7 5BD, UK
| | - Marta Farré
- Department of Comparative Biomedical Sciences, Royal Veterinary College, University of London, London, NW1 0TU, UK
| | - Joana Damas
- Department of Comparative Biomedical Sciences, Royal Veterinary College, University of London, London, NW1 0TU, UK
| | | | - Nicole Valenzuela
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Iowa, IA, 50011, USA
| | - Denis M Larkin
- Department of Comparative Biomedical Sciences, Royal Veterinary College, University of London, London, NW1 0TU, UK
| | - Darren K Griffin
- School of Biosciences, University of Kent, Canterbury, Kent, CT2 7NJ, UK.
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42
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Zeira R, Shamir R. Sorting cancer karyotypes using double-cut-and-joins, duplications and deletions. Bioinformatics 2018; 37:1489-1496. [PMID: 29726899 DOI: 10.1093/bioinformatics/bty381] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 03/15/2018] [Accepted: 05/02/2018] [Indexed: 01/30/2023] Open
Abstract
Motivation Problems of genome rearrangement are central in both evolution and cancer research. Most genome rearrangement models assume that the genome contains a single copy of each gene and the only changes in the genome are structural, i.e., reordering of segments. In contrast, tumor genomes also undergo numerical changes such as deletions and duplications, and thus the number of copies of genes varies. Dealing with unequal gene content is a very challenging task, addressed by few algorithms to date. More realistic models are needed to help trace genome evolution during tumorigenesis. Results Here we present a model for the evolution of genomes with multiple gene copies using the operation types double-cut-and-joins, duplications and deletions. The events supported by the model are reversals, translocations, tandem duplications, segmental deletions, and chromosomal amplifications and deletions, covering most types of structural and numerical changes observed in tumor samples. Our goal is to find a series of operations of minimum length that transform one karyotype into the other. We show that the problem is NP-hard and give an integer linear programming formulation that solves the problem exactly under some mild assumptions. We test our method on simulated genomes and on ovarian cancer genomes. Our study advances the state of the art in two ways: It allows a broader set of operations than extant models, thus being more realistic, and it is the first study attempting to reconstruct the full sequence of structural and numerical events during cancer evolution. Availability Code and data are available in https://github.com/Shamir-Lab/Sorting-Cancer-Karyotypes. Contact ronzeira@post.tau.ac.il, rshamir@tau.ac.il. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
| | - Ron Shamir
- Blavatnik School of Computer Science, Tel Aviv university, Tel Aviv, 6997801, Israel
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43
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Sharakhov IV, Bondarenko SM, Artemov GN, Onufriev AV. The Role of Chromosome–Nuclear Envelope Attachments in 3D Genome Organization. BIOCHEMISTRY (MOSCOW) 2018; 83:350-358. [DOI: 10.1134/s0006297918040065] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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44
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Glugoski L, Giuliano-Caetano L, Moreira-Filho O, Vicari MR, Nogaroto V. Co-located hAT transposable element and 5S rDNA in an interstitial telomeric sequence suggest the formation of Robertsonian fusion in armored catfish. Gene 2018; 650:49-54. [DOI: 10.1016/j.gene.2018.01.099] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 01/23/2018] [Accepted: 01/31/2018] [Indexed: 01/12/2023]
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Abstract
The patchy distribution of genes across the prokaryotes may be caused by multiple gene losses or lateral transfer. Probabilistic models of gene gain and loss are needed to distinguish between these possibilities. Existing models allow only single genes to be gained and lost, despite the empirical evidence for multi-gene events. We compare birth-death models (currently the only widely-used models, in which only one gene can be gained or lost at a time) to blocks models (allowing gain and loss of multiple genes within a family). We analyze two pairs of genomes: two E. coli strains, and the distantly-related Archaeoglobus fulgidus (archaea) and Bacillus subtilis (gram positive bacteria). Blocks models describe the data much better than birth-death models. Our models suggest that lateral transfers of multiple genes from the same family are rare (although transfers of single genes are probably common). For both pairs, the estimated median time that a gene will remain in the genome is not much greater than the time separating the common ancestors of the archaea and bacteria. Deep phylogenetic reconstruction from sequence data will therefore depend on choosing genes likely to remain in the genome for a long time. Phylogenies based on the blocks model are more biologically plausible than phylogenies based on the birth-death model.
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Affiliation(s)
- Matthew Spencer
- Department of Mathematics and Statistics, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Edward Susko
- Department of Mathematics and Statistics, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Andrew J. Roger
- Department of Biochemistry and Molecular Biology, Dalhousie University, Halifax, Nova Scotia, Canada
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46
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Karyotype relationships among selected deer species and cattle revealed by bovine FISH probes. PLoS One 2017; 12:e0187559. [PMID: 29112970 PMCID: PMC5675437 DOI: 10.1371/journal.pone.0187559] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Accepted: 10/21/2017] [Indexed: 11/19/2022] Open
Abstract
The Cervidae family comprises more than fifty species divided into three subfamilies: Capreolinae, Cervinae and Hydropotinae. A characteristic attribute for the species included in this family is the great karyotype diversity, with the chromosomal numbers ranging from 2n = 6 observed in female Muntiacus muntjak vaginalis to 2n = 70 found in Mazama gouazoubira as a result of numerous Robertsonian and tandem fusions. This work reports chromosomal homologies between cattle (Bos taurus, 2n = 60) and nine cervid species using a combination of whole chromosome and region-specific paints and BAC clones derived from cattle. We show that despite the great diversity of karyotypes in the studied species, the number of conserved chromosomal segments detected by 29 cattle whole chromosome painting probes was 35 for all Cervidae samples. The detailed analysis of the X chromosomes revealed two different morphological types within Cervidae. The first one, present in the Capreolinae is a sub/metacentric X with the structure more similar to the bovine X. The second type found in Cervini and Muntiacini is an acrocentric X which shows rearrangements in the proximal part that have not yet been identified within Ruminantia. Moreover, we characterised four repetitive sequences organized in heterochromatic blocks on sex chromosomes of the reindeer (Rangifer tarandus). We show that these repeats gave no hybridization signals to the chromosomes of the closely related moose (Alces alces) and are therefore specific to the reindeer.
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47
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Kirk IK, Weinhold N, Brunak S, Belling K. The impact of the protein interactome on the syntenic structure of mammalian genomes. PLoS One 2017; 12:e0179112. [PMID: 28910296 PMCID: PMC5598925 DOI: 10.1371/journal.pone.0179112] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Accepted: 05/10/2017] [Indexed: 02/06/2023] Open
Abstract
Conserved synteny denotes evolutionary preserved gene order across species. It is not well understood to which degree functional relationships between genes are preserved in syntenic blocks. Here we investigate whether protein-coding genes conserved in mammalian syntenic blocks encode gene products that serve the common functional purpose of interacting at protein level, i.e. connectivity. High connectivity among protein-protein interactions (PPIs) was only moderately associated with conserved synteny on a genome-wide scale. However, we observed a smaller subset of 3.6% of all syntenic blocks with high-confidence PPIs that had significantly higher connectivity than expected by random. Additionally, syntenic blocks with high-confidence PPIs contained significantly more chromatin loops than the remaining blocks, indicating functional preservation among these syntenic blocks. Conserved synteny is typically defined by sequence similarity. In this study, we also examined whether a functional relationship, here PPI connectivity, can identify syntenic blocks independently of orthology. While orthology-based syntenic blocks with high-confident PPIs and the connectivity-based syntenic blocks largely overlapped, the connectivity-based approach identified additional syntenic blocks that were not found by conventional sequence-based methods alone. Additionally, the connectivity-based approach enabled identification of potential orthologous genes between species. Our analyses demonstrate that subsets of syntenic blocks are associated with highly connected proteins, and that PPI connectivity can be used to detect conserved synteny even if sequence conservation drifts beyond what orthology algorithms normally can identify.
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Affiliation(s)
- Isa Kristina Kirk
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nils Weinhold
- Memorial Sloan Kettering Cancer Center, Computational Biology Program, New York, NY, United States of America
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kirstine Belling
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- * E-mail:
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48
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Proskuryakova AA, Kulemzina AI, Perelman PL, Makunin AI, Larkin DM, Farré M, Kukekova AV, Lynn Johnson J, Lemskaya NA, Beklemisheva VR, Roelke-Parker ME, Bellizzi J, Ryder OA, O'Brien SJ, Graphodatsky AS. X Chromosome Evolution in Cetartiodactyla. Genes (Basel) 2017; 8:genes8090216. [PMID: 28858207 PMCID: PMC5615350 DOI: 10.3390/genes8090216] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 08/24/2017] [Accepted: 08/25/2017] [Indexed: 02/05/2023] Open
Abstract
The phenomenon of a remarkable conservation of the X chromosome in eutherian mammals has been first described by Susumu Ohno in 1964. A notable exception is the cetartiodactyl X chromosome, which varies widely in morphology and G-banding pattern between species. It is hypothesized that this sex chromosome has undergone multiple rearrangements that changed the centromere position and the order of syntenic segments over the last 80 million years of Cetartiodactyla speciation. To investigate its evolution we have selected 26 evolutionarily conserved bacterial artificial chromosome (BAC) clones from the cattle CHORI-240 library evenly distributed along the cattle X chromosome. High-resolution BAC maps of the X chromosome on a representative range of cetartiodactyl species from different branches: pig (Suidae), alpaca (Camelidae), gray whale (Cetacea), hippopotamus (Hippopotamidae), Java mouse-deer (Tragulidae), pronghorn (Antilocapridae), Siberian musk deer (Moschidae), and giraffe (Giraffidae) were obtained by fluorescent in situ hybridization. To trace the X chromosome evolution during fast radiation in specious families, we performed mapping in several cervids (moose, Siberian roe deer, fallow deer, and Pere David's deer) and bovid (muskox, goat, sheep, sable antelope, and cattle) species. We have identified three major conserved synteny blocks and rearrangements in different cetartiodactyl lineages and found that the recently described phenomenon of the evolutionary new centromere emergence has taken place in the X chromosome evolution of Cetartiodactyla at least five times. We propose the structure of the putative ancestral cetartiodactyl X chromosome by reconstructing the order of syntenic segments and centromere position for key groups.
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Affiliation(s)
- Anastasia A Proskuryakova
- Institute of Molecular and Cellular Biology, SB RAS, Lavrentiev Ave. 8/2, Novosibirsk 630090, Russia.
- Synthetic Biology Unit, Novosibirsk State University, Pirogova Str. 1, Novosibirsk 630090, Russia.
| | - Anastasia I Kulemzina
- Institute of Molecular and Cellular Biology, SB RAS, Lavrentiev Ave. 8/2, Novosibirsk 630090, Russia.
| | - Polina L Perelman
- Institute of Molecular and Cellular Biology, SB RAS, Lavrentiev Ave. 8/2, Novosibirsk 630090, Russia.
- Synthetic Biology Unit, Novosibirsk State University, Pirogova Str. 1, Novosibirsk 630090, Russia.
| | - Alexey I Makunin
- Institute of Molecular and Cellular Biology, SB RAS, Lavrentiev Ave. 8/2, Novosibirsk 630090, Russia.
| | - Denis M Larkin
- The Royal Veterinary College, University of London, Royal College Street, London NW1 0TU, UK.
| | - Marta Farré
- The Royal Veterinary College, University of London, Royal College Street, London NW1 0TU, UK.
| | - Anna V Kukekova
- Animal Sciences Department, College of ACES, University of Illinois at Urbana-Champaign, IL 61801, USA.
| | - Jennifer Lynn Johnson
- Animal Sciences Department, College of ACES, University of Illinois at Urbana-Champaign, IL 61801, USA.
| | - Natalya A Lemskaya
- Institute of Molecular and Cellular Biology, SB RAS, Lavrentiev Ave. 8/2, Novosibirsk 630090, Russia.
| | - Violetta R Beklemisheva
- Institute of Molecular and Cellular Biology, SB RAS, Lavrentiev Ave. 8/2, Novosibirsk 630090, Russia.
| | - Melody E Roelke-Parker
- Frederick National Laboratory of Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA.
| | - June Bellizzi
- Catoctin Zoo and Wildlife Preserve, Thurmont, MD 21788, USA.
| | - Oliver A Ryder
- San Diego Zoo Institute for Conservation Research, 15600 San Pasqual Valley Road, Escondido, CA 92027, USA.
| | - Stephen J O'Brien
- Theodosius Dobzhansky Center for Genome Bioinformatics, Saint-Petersburg State University, Sredniy Av. 41A, Saint-Petersburg 199034, Russia.
- Oceanographic Center, Nova Southeastern University, Fort Lauderdale 3301 College Ave, Fort Lauderdale, FL 33314, USA.
| | - Alexander S Graphodatsky
- Institute of Molecular and Cellular Biology, SB RAS, Lavrentiev Ave. 8/2, Novosibirsk 630090, Russia.
- Synthetic Biology Unit, Novosibirsk State University, Pirogova Str. 1, Novosibirsk 630090, Russia.
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49
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Lucas JMEX, Roest Crollius H. High precision detection of conserved segments from synteny blocks. PLoS One 2017; 12:e0180198. [PMID: 28671949 PMCID: PMC5495381 DOI: 10.1371/journal.pone.0180198] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Accepted: 06/12/2017] [Indexed: 11/19/2022] Open
Abstract
A conserved segment, i.e. a segment of chromosome unbroken during evolution, is an important operational concept in comparative genomics. Until now, algorithms that are designed to identify conserved segments often return synteny blocks that overlap, synteny blocks that include micro-rearrangements or synteny blocks erroneously short. Here we present definitions of conserved segments and synteny blocks independent of any heuristic method and we describe four new post-processing strategies to refine synteny blocks into accurate conserved segments. The first strategy identifies micro-rearrangements, the second strategy identifies mono-genic conserved segments, the third returns non-overlapping segments and the fourth repairs incorrect ruptures of synteny. All these refinements are implemented in a new version of PhylDiag that has been benchmarked against i-ADHoRe 3.0 and Cyntenator, based on a realistic simulated evolution and true simulated conserved segments.
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Affiliation(s)
- Joseph MEX Lucas
- IBENS, Département de Biologie, Ecole Normale Supérieure, CNRS, Inserm, PSL Research, University, Paris, France
| | - Hugues Roest Crollius
- IBENS, Département de Biologie, Ecole Normale Supérieure, CNRS, Inserm, PSL Research, University, Paris, France
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50
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Steward CA, Parker APJ, Minassian BA, Sisodiya SM, Frankish A, Harrow J. Genome annotation for clinical genomic diagnostics: strengths and weaknesses. Genome Med 2017; 9:49. [PMID: 28558813 PMCID: PMC5448149 DOI: 10.1186/s13073-017-0441-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
The Human Genome Project and advances in DNA sequencing technologies have revolutionized the identification of genetic disorders through the use of clinical exome sequencing. However, in a considerable number of patients, the genetic basis remains unclear. As clinicians begin to consider whole-genome sequencing, an understanding of the processes and tools involved and the factors to consider in the annotation of the structure and function of genomic elements that might influence variant identification is crucial. Here, we discuss and illustrate the strengths and weaknesses of approaches for the annotation and classification of important elements of protein-coding genes, other genomic elements such as pseudogenes and the non-coding genome, comparative-genomic approaches for inferring gene function, and new technologies for aiding genome annotation, as a practical guide for clinicians when considering pathogenic sequence variation. Complete and accurate annotation of structure and function of genome features has the potential to reduce both false-negative (from missing annotation) and false-positive (from incorrect annotation) errors in causal variant identification in exome and genome sequences. Re-analysis of unsolved cases will be necessary as newer technology improves genome annotation, potentially improving the rate of diagnosis.
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Affiliation(s)
- Charles A Steward
- Congenica Ltd, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1DR, UK. .,The Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
| | | | - Berge A Minassian
- Department of Pediatrics (Neurology), University of Texas Southwestern, Dallas, TX, USA.,Program in Genetics and Genome Biology and Department of Paediatrics (Neurology), The Hospital for Sick Children and University of Toronto, Toronto, Canada
| | - Sanjay M Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, WC1N 3BG, UK.,Chalfont Centre for Epilepsy, Chesham Lane, Chalfont St Peter, Buckinghamshire, SL9 0RJ, UK
| | - Adam Frankish
- The Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.,European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Jennifer Harrow
- The Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.,Illumina Inc, Great Chesterford, Essex, CB10 1XL, UK
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