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Takedachi A, Despras E, Scaglione S, Guérois R, Guervilly JH, Blin M, Audebert S, Camoin L, Hasanova Z, Schertzer M, Guille A, Churikov D, Callebaut I, Naim V, Chaffanet M, Borg JP, Bertucci F, Revy P, Birnbaum D, Londoño-Vallejo A, Kannouche PL, Gaillard PHL. Publisher Correction: SLX4 interacts with RTEL1 to prevent transcription-mediated DNA replication perturbations. Nat Struct Mol Biol 2020; 27:604. [PMID: 32409716 DOI: 10.1038/s41594-020-0447-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Affiliation(s)
- A Takedachi
- Centre de Recherche en Cancérologie de Marseille, CRCM, Inserm, CNRS, Aix-Marseille Université, Institut Paoli-Calmettes, Marseille, France.,Inovarion, Paris, France.,Department of Chemistry, Faculty of Science, Fukuoka University, Fukuoka, Japan
| | - E Despras
- CNRS UMR9019, Université Paris-Saclay, Equipe labellisée Ligue contre le Cancer, Gustave Roussy, Villejuif, France
| | - S Scaglione
- Centre de Recherche en Cancérologie de Marseille, CRCM, Inserm, CNRS, Aix-Marseille Université, Institut Paoli-Calmettes, Marseille, France
| | - R Guérois
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ. Paris-Sud, Université Paris-Saclay, Gif-sur-Yvette, cedex, France
| | - J H Guervilly
- Centre de Recherche en Cancérologie de Marseille, CRCM, Inserm, CNRS, Aix-Marseille Université, Institut Paoli-Calmettes, Marseille, France
| | - M Blin
- Centre de Recherche en Cancérologie de Marseille, CRCM, Inserm, CNRS, Aix-Marseille Université, Institut Paoli-Calmettes, Marseille, France
| | - S Audebert
- Centre de Recherche en Cancérologie de Marseille, CRCM, Inserm, CNRS, Aix-Marseille Université, Institut Paoli-Calmettes, Marseille, France
| | - L Camoin
- Centre de Recherche en Cancérologie de Marseille, CRCM, Inserm, CNRS, Aix-Marseille Université, Institut Paoli-Calmettes, Marseille, France
| | - Z Hasanova
- Centre de Recherche en Cancérologie de Marseille, CRCM, Inserm, CNRS, Aix-Marseille Université, Institut Paoli-Calmettes, Marseille, France.,Institute of Molecular Genetics, Prague, Czech Republic
| | - M Schertzer
- Institut Curie, PSL Research University, CNRS, UMR3244, Paris, France.,Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR3244, Paris, France
| | - A Guille
- Centre de Recherche en Cancérologie de Marseille, CRCM, Inserm, CNRS, Aix-Marseille Université, Institut Paoli-Calmettes, Marseille, France
| | - D Churikov
- Centre de Recherche en Cancérologie de Marseille, CRCM, Inserm, CNRS, Aix-Marseille Université, Institut Paoli-Calmettes, Marseille, France
| | - I Callebaut
- Sorbonne Université, Muséum National d'Histoire Naturelle, UMR CNRS 7590, IRD, Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie, IMPMC, Paris, France
| | - V Naim
- CNRS UMR9019, Université Paris-Saclay, Gustave Roussy, Villejuif, France
| | - M Chaffanet
- Centre de Recherche en Cancérologie de Marseille, CRCM, Inserm, CNRS, Aix-Marseille Université, Institut Paoli-Calmettes, Marseille, France
| | - J P Borg
- Centre de Recherche en Cancérologie de Marseille, CRCM, Inserm, CNRS, Aix-Marseille Université, Institut Paoli-Calmettes, Marseille, France
| | - F Bertucci
- Centre de Recherche en Cancérologie de Marseille, CRCM, Inserm, CNRS, Aix-Marseille Université, Institut Paoli-Calmettes, Marseille, France
| | - P Revy
- INSERM UMR 1163, Laboratory of Genome Dynamics in the Immune System, Equipe Labellisée La Ligue contre le Cancer, Paris Descartes-Sorbonne Paris Cité University, Imagine Institute, Paris, France
| | - D Birnbaum
- Centre de Recherche en Cancérologie de Marseille, CRCM, Inserm, CNRS, Aix-Marseille Université, Institut Paoli-Calmettes, Marseille, France
| | - A Londoño-Vallejo
- Institut Curie, PSL Research University, CNRS, UMR3244, Paris, France.,Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR3244, Paris, France
| | - P L Kannouche
- CNRS UMR9019, Université Paris-Saclay, Equipe labellisée Ligue contre le Cancer, Gustave Roussy, Villejuif, France
| | - P H L Gaillard
- Centre de Recherche en Cancérologie de Marseille, CRCM, Inserm, CNRS, Aix-Marseille Université, Institut Paoli-Calmettes, Marseille, France.
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Abstract
Over most of their natural northern Pacific Ocean range, pink salmon (Oncorhynchus gorbuscha) spawn in a habitat that was repeatedly and profoundly affected by Pleistocene glacial advances. A strictly two-year life cycle of pink salmon has resulted in two reproductively isolated broodlines, which spawn in alternating years and evolved as temporal replicates of the same species. To study the influence of historical events on phylogeographical and population genetic structure of the two broodlines, we first reconstructed a fine-scale mtDNA haplotype genealogy from a sample of 80 individuals and then determined the geographical distribution of the major genealogical assemblages for 718 individuals sampled from nine Alaskan and eastern Asian even- and nine odd-year pink salmon populations. Analysis of restriction site states in seven polymerase chain reaction (PCR)-amplified mtDNA regions (comprising 97% of the mitochondrial genome) using 13 endonucleases resolved 38 haplotypes, which clustered into five genealogical lineages that differed from 0.065 to 0.225% in net sequence divergence. The lineage sorting between broodlines was incomplete, which suggests a recent common ancestry. Within each lineage, haplotypes exhibited star-like genealogies indicating recent population growth. The depth of the haplotype genealogy is shallow ( approximately 0.5% of nucleotide sequence divergence) and probably reflects repeated decreases in population size due to Pleistocene glacial advances. Nested clade analysis (NCA) of geographical distances showed that the geographical distribution observed for mitochondrial DNA (mtDNA) haplotypes resulted from alternating influences of historical range expansions and episodes of restricted dispersal. Analyses of molecular variance showed weak geographical structuring of mtDNA variation, except for the strong subdivision between Asian and Alaskan populations within the even-year broodline. The genetic similarities observed among and within geographical regions probably originated from postglacial recolonizations from common sources rather than extensive gene flow. The phylogeographical and population genetic structures differ substantally between broodlines. This can be explained by stochastic lineage sorting in glacial refugia and perhaps different recolonization routes in even- and odd-year broodlines.
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Affiliation(s)
- D Churikov
- Fisheries Division, School of Fisheries and Ocean Sciences, University of Alaska Fairbanks, 11120 Glacier Highway, Juneau 99801, USA.
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Churikov D, Matsuoka M, Luan X, Gray AK, Brykov VA, Gharrett AJ. Assessment of concordance among genealogical reconstructions from various mtDNA segments in three species of Pacific salmon (genus Oncorhynchus). Mol Ecol 2001; 10:2329-39. [PMID: 11555274 DOI: 10.1046/j.1365-294x.2001.01354.x] [Citation(s) in RCA: 44] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Seven segments of mitochondrial DNA (mtDNA), comprising 97% of the mitochondrial genome, were amplified by polymerase chain reaction (PCR) and examined for restriction site variation using 13 restriction endonucleases in three species of Pacific salmon: pink (Oncorhynchus gorbuscha), chum (O. keta) and sockeye (O. nerka) salmon. The distribution of variability across the seven mtDNA segments differed substantially among species. Little similarity in the distribution of variable restriction sites was found even between the mitochondrial genomes of the even- and odd-year broodlines of pink salmon. Significantly different levels of nucleotide diversity were detected among three groups of genes: six NADH-dehydrogenase genes had the highest; two rRNA genes had the lowest; and a group that included genes for ATPase and cytochrome oxidase subunits, the cytochrome b gene, and the control region had intermediate levels of nucleotide diversity. Genealogies of mtDNA haplotypes were reconstructed for each species, based on the variation in all mtDNA segments. The contributions of variation within different segments to resolution of the genealogical trees were compared within each species. With the exception of sockeye salmon, restriction site data from different genome segments tended to produce rather different trees (and hence rather different genealogies). In the majority of cases, genealogical information in different segments of mitochondrial genome was additive rather than congruent. This finding has a relevance to phylogeographic studies of other organisms and emphasizes the importance of not relying on a limited segment of the mtDNA genome to derive a phylogeographic structure.
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Affiliation(s)
- D Churikov
- Fisheries Division, School of Fisheries and Ocean Sciences, University of Alaska Fairbanks, 11120 Glacier Highway, Juneau, Alaska 99801, USA.
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