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Ho AT, Hurst LD. Stop codon usage as a window into genome evolution: mutation, selection, biased gene conversion and the TAG paradox. Genome Biol Evol 2022; 14:6648529. [PMID: 35867377 PMCID: PMC9348620 DOI: 10.1093/gbe/evac115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/17/2022] [Indexed: 11/16/2022] Open
Abstract
Protein coding genes terminate with one of three stop codons (TAA, TGA, or TAG) that, like synonymous codons, are not employed equally. With TGA and TAG having identical nucleotide content, analysis of their differential usage provides an unusual window into the forces operating on what are ostensibly functionally identical residues. Across genomes and between isochores within the human genome, TGA usage increases with G + C content but, with a common G + C → A + T mutation bias, this cannot be explained by mutation bias-drift equilibrium. Increased usage of TGA in G + C-rich genomes or genomic regions is also unlikely to reflect selection for the optimal stop codon, as TAA appears to be universally optimal, probably because it has the lowest read-through rate. Despite TAA being favored by selection and mutation bias, as with codon usage bias G + C pressure is the prime determinant of between-species TGA usage trends. In species with strong G + C-biased gene conversion (gBGC), such as mammals and birds, the high usage and conservation of TGA is best explained by an A + T → G + C repair bias. How to explain TGA enrichment in other G + C-rich genomes is less clear. Enigmatically, across bacterial and archaeal species and between human isochores TAG usage is mostly unresponsive to G + C pressure. This unresponsiveness we dub the TAG paradox as currently no mutational, selective, or gBGC model provides a well-supported explanation. That TAG does increase with G + C usage across eukaryotes makes the usage elsewhere yet more enigmatic. We suggest resolution of the TAG paradox may provide insights into either an unknown but common selective preference (probably at the DNA/RNA level) or an unrecognized complexity to the action of gBGC.
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Affiliation(s)
- Alexander T Ho
- Milner Centre for Evolution, University of Bath, Bath, UK
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Ho AT, Hurst LD. Unusual mammalian usage of TGA stop codons reveals that sequence conservation need not imply purifying selection. PLoS Biol 2022; 20:e3001588. [PMID: 35550630 PMCID: PMC9129041 DOI: 10.1371/journal.pbio.3001588] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 05/24/2022] [Accepted: 04/20/2022] [Indexed: 11/18/2022] Open
Abstract
The assumption that conservation of sequence implies the action of purifying selection is central to diverse methodologies to infer functional importance. GC-biased gene conversion (gBGC), a meiotic mismatch repair bias strongly favouring GC over AT, can in principle mimic the action of selection, this being thought to be especially important in mammals. As mutation is GC→AT biased, to demonstrate that gBGC does indeed cause false signals requires evidence that an AT-rich residue is selectively optimal compared to its more GC-rich allele, while showing also that the GC-rich alternative is conserved. We propose that mammalian stop codon evolution provides a robust test case. Although in most taxa TAA is the optimal stop codon, TGA is both abundant and conserved in mammalian genomes. We show that this mammalian exceptionalism is well explained by gBGC mimicking purifying selection and that TAA is the selectively optimal codon. Supportive of gBGC, we observe (i) TGA usage trends are consistent at the focal stop codon and elsewhere (in UTR sequences); (ii) that higher TGA usage and higher TAA→TGA substitution rates are predicted by a high recombination rate; and (iii) across species the difference in TAA <-> TGA substitution rates between GC-rich and GC-poor genes is largest in genomes that possess higher between-gene GC variation. TAA optimality is supported both by enrichment in highly expressed genes and trends associated with effective population size. High TGA usage and high TAA→TGA rates in mammals are thus consistent with gBGC’s predicted ability to “drive” deleterious mutations and supports the hypothesis that sequence conservation need not be indicative of purifying selection. A general trend for GC-rich trinucleotides to reside at frequencies far above their mutational equilibrium in high recombining domains supports the generality of these results.
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Affiliation(s)
- Alexander Thomas Ho
- Milner Centre for Evolution, University of Bath, Bath, United Kingdom
- * E-mail:
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Panzera Y, Ramos N, Calleros L, Marandino A, Tomás G, Techera C, Grecco S, Frabasile S, Fuques E, Coppola L, Goñi N, Ramas V, Sorhouet C, Bormida V, Burgueño A, Brasesco M, Garland MR, Molinari S, Perez MT, Somma R, Somma S, Morel MN, Mogdasy C, Chiparelli H, Arbiza J, Delfraro A, Pérez R. Transmission cluster of COVID-19 cases from Uruguay: emergence and spreading of a novel SARS-CoV-2 ORF6 deletion. Mem Inst Oswaldo Cruz 2022; 116:e210275. [PMID: 35019072 PMCID: PMC8752050 DOI: 10.1590/0074-02760210275] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 11/03/2021] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Evolutionary changes in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) include indels in non-structural, structural, and accessory open reading frames (ORFs) or genes. OBJECTIVES We track indels in accessory ORFs to infer evolutionary gene patterns and epidemiological links between outbreaks. METHODS Genomes from Coronavirus disease 2019 (COVID-19) case-patients were Illumina sequenced using ARTIC_V3. The assembled genomes were analysed to detect substitutions and indels. FINDINGS We reported the emergence and spread of a unique 4-nucleotide deletion in the accessory ORF6, an interesting gene with immune modulation activity. The deletion in ORF6 removes one repeat unit of a two 4-nucleotide repeat, which shows that directly repeated sequences in the SARS-CoV-2 genome are associated with indels, even outside the context of extended repeat regions. The 4-nucleotide deletion produces a frameshifting change that results in a protein with two inserted amino acids, increasing the coding information of this accessory ORF. Epidemiological and genomic data indicate that the deletion variant has a single common ancestor and was initially detected in a health care outbreak and later in other COVID-19 cases, establishing a transmission cluster in the Uruguayan population. MAIN CONCLUSIONS Our findings provide evidence for the origin and spread of deletion variants and emphasise indels’ importance in epidemiological studies, including differentiating consecutive outbreaks occurring in the same health facility.
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Affiliation(s)
- Yanina Panzera
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Natalia Ramos
- Universidad de la República, Facultad de Ciencias, Instituto de Biología e Instituto de Química Biológica, Sección Virología, Montevideo, Uruguay
| | - Lucía Calleros
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Ana Marandino
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Gonzalo Tomás
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Claudia Techera
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Sofía Grecco
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Sandra Frabasile
- Universidad de la República, Facultad de Ciencias, Instituto de Biología e Instituto de Química Biológica, Sección Virología, Montevideo, Uruguay
| | - Eddie Fuques
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Leticia Coppola
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Natalia Goñi
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Viviana Ramas
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Cecilia Sorhouet
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Victoria Bormida
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Analía Burgueño
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - María Brasesco
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Maria Rosa Garland
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Sylvia Molinari
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Maria Teresa Perez
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Rosina Somma
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Silvana Somma
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Maria Noelia Morel
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Cristina Mogdasy
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Héctor Chiparelli
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Juan Arbiza
- Universidad de la República, Facultad de Ciencias, Instituto de Biología e Instituto de Química Biológica, Sección Virología, Montevideo, Uruguay
| | - Adriana Delfraro
- Universidad de la República, Facultad de Ciencias, Instituto de Biología e Instituto de Química Biológica, Sección Virología, Montevideo, Uruguay
| | - Ruben Pérez
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
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