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  1. Article ; Online: Anti-COVID drug accelerates viral evolution.

    Kosakovsky Pond, Sergei L / Martin, Darren

    Nature

    2023  Volume 623, Issue 7987, Page(s) 486–487

    MeSH term(s) Humans ; COVID-19 ; SARS-CoV-2
    Language English
    Publishing date 2023-10-24
    Publishing country England
    Document type News
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/d41586-023-03248-3
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  2. Article ; Online: Somatic genome architecture and molecular evolution are decoupled in "young" linage-specific gene families in ciliates.

    Maurer-Alcalá, Xyrus X / Cote-L'Heureux, Auden / Kosakovsky Pond, Sergei L / Katz, Laura A

    PloS one

    2024  Volume 19, Issue 1, Page(s) e0291688

    Abstract: The evolution of lineage-specific gene families remains poorly studied across the eukaryotic tree of life, with most analyses focusing on the recent evolution of de novo genes in model species. Here we explore the origins of lineage-specific genes in ... ...

    Abstract The evolution of lineage-specific gene families remains poorly studied across the eukaryotic tree of life, with most analyses focusing on the recent evolution of de novo genes in model species. Here we explore the origins of lineage-specific genes in ciliates, a ~1 billion year old clade of microeukaryotes that are defined by their division of somatic and germline functions into distinct nuclei. Previous analyses on conserved gene families have shown the effect of ciliates' unusual genome architecture on gene family evolution: extensive genome processing-the generation of thousands of gene-sized somatic chromosomes from canonical germline chromosomes-is associated with larger and more diverse gene families. To further study the relationship between ciliate genome architecture and gene family evolution, we analyzed lineage specific gene families from a set of 46 transcriptomes and 12 genomes representing x species from eight ciliate classes. We assess how the evolution lineage-specific gene families occurs among four groups of ciliates: extensive fragmenters with gene-size somatic chromosomes, non-extensive fragmenters with "large'' multi-gene somatic chromosomes, Heterotrichea with highly polyploid somatic genomes and Karyorelictea with 'paradiploid' somatic genomes. Our analyses demonstrate that: 1) most lineage-specific gene families are found at shallow taxonomic scales; 2) extensive genome processing (i.e., gene unscrambling) during development likely influences the size and number of young lineage-specific gene families; and 3) the influence of somatic genome architecture on molecular evolution is increasingly apparent in older gene families. Altogether, these data highlight the influences of genome architecture on the evolution of lineage-specific gene families in eukaryotes.
    MeSH term(s) Genome ; Cell Nucleus ; Chromosomes/genetics ; Transcriptome ; Ciliophora/genetics ; Evolution, Molecular
    Language English
    Publishing date 2024-01-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0291688
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  3. Article ; Online: Evolutionary Shortcuts via Multinucleotide Substitutions and Their Impact on Natural Selection Analyses.

    Lucaci, Alexander G / Zehr, Jordan D / Enard, David / Thornton, Joseph W / Kosakovsky Pond, Sergei L

    Molecular biology and evolution

    2023  Volume 40, Issue 7

    Abstract: Inference and interpretation of evolutionary processes, in particular of the types and targets of natural selection affecting coding sequences, are critically influenced by the assumptions built into statistical models and tests. If certain aspects of ... ...

    Abstract Inference and interpretation of evolutionary processes, in particular of the types and targets of natural selection affecting coding sequences, are critically influenced by the assumptions built into statistical models and tests. If certain aspects of the substitution process (even when they are not of direct interest) are presumed absent or are modeled with too crude of a simplification, estimates of key model parameters can become biased, often systematically, and lead to poor statistical performance. Previous work established that failing to accommodate multinucleotide (or multihit, MH) substitutions strongly biases dN/dS-based inference towards false-positive inferences of diversifying episodic selection, as does failing to model variation in the rate of synonymous substitution (SRV) among sites. Here, we develop an integrated analytical framework and software tools to simultaneously incorporate these sources of evolutionary complexity into selection analyses. We found that both MH and SRV are ubiquitous in empirical alignments, and incorporating them has a strong effect on whether or not positive selection is detected (1.4-fold reduction) and on the distributions of inferred evolutionary rates. With simulation studies, we show that this effect is not attributable to reduced statistical power caused by using a more complex model. After a detailed examination of 21 benchmark alignments and a new high-resolution analysis showing which parts of the alignment provide support for positive selection, we show that MH substitutions occurring along shorter branches in the tree explain a significant fraction of discrepant results in selection detection. Our results add to the growing body of literature which examines decades-old modeling assumptions (including MH) and finds them to be problematic for comparative genomic data analysis. Because multinucleotide substitutions have a significant impact on natural selection detection even at the level of an entire gene, we recommend that selection analyses of this type consider their inclusion as a matter of routine. To facilitate this procedure, we developed, implemented, and benchmarked a simple and well-performing model testing selection detection framework able to screen an alignment for positive selection with two biologically important confounding processes: site-to-site synonymous rate variation, and multinucleotide instantaneous substitutions.
    MeSH term(s) Genomics ; Biological Evolution ; Selection, Genetic ; Models, Genetic ; Bias ; Humans ; Animals ; Heuristics ; Computer Simulation ; Polymorphism, Single Nucleotide ; Amino Acid Substitution ; Polymorphism, Genetic ; Evolution, Molecular ; Viruses/genetics
    Language English
    Publishing date 2023-07-04
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 998579-7
    ISSN 1537-1719 ; 0737-4038
    ISSN (online) 1537-1719
    ISSN 0737-4038
    DOI 10.1093/molbev/msad150
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  4. Article ; Online: Coronavirus Resistance Database (CoV-RDB): SARS-CoV-2 susceptibility to monoclonal antibodies, convalescent plasma, and plasma from vaccinated persons.

    Tzou, Philip L / Tao, Kaiming / Pond, Sergei L Kosakovsky / Shafer, Robert W

    PloS one

    2022  Volume 17, Issue 3, Page(s) e0261045

    Abstract: As novel SARS-CoV-2 variants with different patterns of spike protein mutations have emerged, the susceptibility of these variants to neutralization by antibodies has been rapidly assessed. However, neutralization data are generated using different ... ...

    Abstract As novel SARS-CoV-2 variants with different patterns of spike protein mutations have emerged, the susceptibility of these variants to neutralization by antibodies has been rapidly assessed. However, neutralization data are generated using different approaches and are scattered across different publications making it difficult for these data to be located and synthesized. The Stanford Coronavirus Resistance Database (CoV-RDB; https://covdb.stanford.edu) is designed to house comprehensively curated published data on the neutralizing susceptibility of SARS-CoV-2 variants and spike mutations to monoclonal antibodies (mAbs), convalescent plasma (CP), and vaccinee plasma (VP). As of December 31, 2021, CoV-RDB encompassed 257 publications including 91 (35%) containing 9,070 neutralizing mAb susceptibility results, 131 (51%) containing 16,773 neutralizing CP susceptibility results, and 178 (69%) containing 33,540 neutralizing VP results. The database also records which spike mutations are selected during in vitro passage of SARS-CoV-2 in the presence of mAbs and which emerge in persons receiving mAbs as treatment. The CoV-RDB interface interactively displays neutralizing susceptibility data at different levels of granularity by filtering and/or aggregating query results according to one or more experimental conditions. The CoV-RDB website provides a companion sequence analysis program that outputs information about mutations present in a submitted sequence and that also assists users in determining the appropriate mutation-detection thresholds for identifying non-consensus amino acids. The most recent data underlying the CoV-RDB can be downloaded in its entirety from a GitHub repository in a documented machine-readable format.
    MeSH term(s) Antibodies, Monoclonal/immunology ; Antibodies, Neutralizing/immunology ; Antibodies, Viral/blood ; Antibodies, Viral/immunology ; COVID-19/pathology ; COVID-19/therapy ; COVID-19/virology ; COVID-19 Vaccines/immunology ; Databases, Factual ; Humans ; Immunization, Passive ; Neutralization Tests ; SARS-CoV-2/immunology ; SARS-CoV-2/isolation & purification ; SARS-CoV-2/metabolism ; Spike Glycoprotein, Coronavirus/immunology
    Chemical Substances Antibodies, Monoclonal ; Antibodies, Neutralizing ; Antibodies, Viral ; COVID-19 Vaccines ; Spike Glycoprotein, Coronavirus ; spike protein, SARS-CoV-2
    Language English
    Publishing date 2022-03-09
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0261045
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  5. Article ; Online: Susceptibility of SARS-CoV-2 Omicron Variants to Therapeutic Monoclonal Antibodies: Systematic Review and Meta-analysis.

    Tao, Kaiming / Tzou, Philip L / Kosakovsky Pond, Sergei L / Ioannidis, John P A / Shafer, Robert W

    Microbiology spectrum

    2022  Volume 10, Issue 4, Page(s) e0092622

    Abstract: SARS-CoV-2 Omicron variants contain many mutations in its spike receptor-binding domain, the target of all authorized monoclonal antibodies (MAbs). Determining the extent to which Omicron variants reduced MAb susceptibility is critical to preventing and ... ...

    Abstract SARS-CoV-2 Omicron variants contain many mutations in its spike receptor-binding domain, the target of all authorized monoclonal antibodies (MAbs). Determining the extent to which Omicron variants reduced MAb susceptibility is critical to preventing and treating COVID-19. We systematically reviewed PubMed and three preprint servers, last updated 11 April 2022, for the
    MeSH term(s) Antibodies, Monoclonal/therapeutic use ; Antibodies, Monoclonal, Humanized ; Antibodies, Neutralizing/therapeutic use ; Antibodies, Viral/therapeutic use ; Humans ; Neutralization Tests ; SARS-CoV-2/genetics ; Spike Glycoprotein, Coronavirus ; Viral Envelope Proteins/genetics ; COVID-19 Drug Treatment
    Chemical Substances Antibodies, Monoclonal ; Antibodies, Monoclonal, Humanized ; Antibodies, Neutralizing ; Antibodies, Viral ; Spike Glycoprotein, Coronavirus ; Viral Envelope Proteins ; spike protein, SARS-CoV-2 ; tixagevimab ; cilgavimab (1KUR4BN70F) ; sotrovimab (1MTK0BPN8V) ; imdevimab (2Z3DQD2JHM) ; bamlanivimab (45I6OFJ8QH) ; bebtelovimab (8YL4SYR6CU) ; casirivimab (J0FI6WE1QN) ; etesevimab (N7Q9NLF11I)
    Language English
    Publishing date 2022-06-14
    Publishing country United States
    Document type Journal Article ; Meta-Analysis ; Systematic Review ; Research Support, N.I.H., Extramural
    ZDB-ID 2807133-5
    ISSN 2165-0497 ; 2165-0497
    ISSN (online) 2165-0497
    ISSN 2165-0497
    DOI 10.1128/spectrum.00926-22
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  6. Article ; Online: Weak selection on synonymous codons substantially inflates

    Rahman, Shakibur / Kosakovsky Pond, Sergei L / Webb, Andrew / Hey, Jody

    Proceedings of the National Academy of Sciences of the United States of America

    2021  Volume 118, Issue 20

    Abstract: Synonymous codon substitutions are not always selectively neutral as revealed by several types of analyses, including studies of codon usage patterns among genes. We analyzed codon usage in 13 bacterial genomes sampled from across a large order of ... ...

    Abstract Synonymous codon substitutions are not always selectively neutral as revealed by several types of analyses, including studies of codon usage patterns among genes. We analyzed codon usage in 13 bacterial genomes sampled from across a large order of bacteria, Enterobacterales, and identified presumptively neutral and selected classes of synonymous substitutions. To estimate substitution rates, given a neutral/selected classification of synonymous substitutions, we developed a flexible [Formula: see text] substitution model that allows multiple classes of synonymous substitutions. Under this multiclass synonymous substitution (MSS) model, the denominator of [Formula: see text] includes only the strictly neutral class of synonymous substitutions. On average, the value of [Formula: see text] under the MSS model was 80% of that under the standard codon model in which all synonymous substitutions are assumed to be neutral. The indication is that conventional [Formula: see text] analyses overestimate these values and thus overestimate the frequency of positive diversifying selection and underestimate the strength of purifying selection. To quantify the strength of selection necessary to explain this reduction, we developed a model of selected compensatory codon substitutions. The reduction in synonymous substitution rate, and thus the contribution that selection makes to codon bias variation among genes, can be adequately explained by very weak selection, with a mean product of population size and selection coefficient, [Formula: see text].
    MeSH term(s) Bacterial Load ; Biological Evolution ; Codon/chemistry ; Codon/metabolism ; Enterobacteriaceae/genetics ; Enterobacteriaceae/growth & development ; Enterobacteriaceae/metabolism ; Genetic Variation ; Genome, Bacterial ; Models, Genetic ; Models, Statistical ; Selection, Genetic ; Silent Mutation
    Chemical Substances Codon
    Language English
    Publishing date 2021-05-10
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2023575118
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  7. Article ; Online: The evolution of BDNF is defined by strict purifying selection and prodomain spatial coevolution, but what does it mean for human brain disease?

    Lucaci, Alexander G / Notaras, Michael J / Kosakovsky Pond, Sergei L / Colak, Dilek

    Translational psychiatry

    2022  Volume 12, Issue 1, Page(s) 258

    Abstract: Brain-Derived Neurotrophic Factor (BDNF) is an essential mediator of brain assembly, development, and maturation. BDNF has been implicated in a variety of brain disorders such as neurodevelopmental disorders (e.g., autism spectrum disorder), ... ...

    Abstract Brain-Derived Neurotrophic Factor (BDNF) is an essential mediator of brain assembly, development, and maturation. BDNF has been implicated in a variety of brain disorders such as neurodevelopmental disorders (e.g., autism spectrum disorder), neuropsychiatric disorders (e.g., anxiety, depression, PTSD, and schizophrenia), and various neurodegenerative disorders (e.g., Parkinson's, Alzheimer's, etc.). To better understand the role of BDNF in disease, we sought to define the evolution of BDNF within Mammalia. We conducted sequence alignment and phylogenetic reconstruction of BDNF across a diverse selection of >160 mammalian species spanning ~177 million years of evolution. The selective evolutionary change was examined via several independent computational models of codon evolution including FEL (pervasive diversifying selection), MEME (episodic selection), and BGM (structural coevolution of sites within a single molecule). We report strict purifying selection in the main functional domain of BDNF (NGF domain, essentially comprising the mature BDNF protein). Additionally, we discover six sites in our homologous alignment which are under episodic selection in early regulatory regions (i.e. the prodomain) and 23 pairs of coevolving sites that are distributed across the entirety of BDNF. Coevolving BDNF sites exhibited complex spatial relationships and geometric features including triangular relations, acyclic graph networks, double-linked sites, and triple-linked sites, although the most notable pattern to emerge was that changes in the mature region of BDNF tended to coevolve along with sites in the prodomain. Thus, we propose that the discovery of both local and distal sites of coevolution likely reflects 'evolutionary fine-tuning' of BDNF's underlying regulation and function in mammals. This tracks with the observation that BDNF's mature domain (which encodes mature BDNF protein) is largely conserved, while the prodomain (which is linked to regulation and its own unique functionality) exhibits more pervasive and diversifying evolutionary selection. That said, the fact that negative purifying selection also occurs in BDNF's prodomain also highlights that this region also contains critical sites of sensitivity which also partially explains its disease relevance (via Val66Met and other prodomain variants). Taken together, these computational evolutionary analyses provide important context as to the origins and sensitivity of genetic changes within BDNF that may help to deconvolute the role of BDNF polymorphisms in human brain disorders.
    MeSH term(s) Animals ; Autism Spectrum Disorder ; Brain/metabolism ; Brain Diseases ; Brain-Derived Neurotrophic Factor/genetics ; Brain-Derived Neurotrophic Factor/metabolism ; Humans ; Mammals/metabolism ; Phylogeny
    Chemical Substances Brain-Derived Neurotrophic Factor
    Language English
    Publishing date 2022-06-22
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2609311-X
    ISSN 2158-3188 ; 2158-3188
    ISSN (online) 2158-3188
    ISSN 2158-3188
    DOI 10.1038/s41398-022-02021-w
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  8. Article: AUTO-TUNE: SELECTING THE DISTANCE THRESHOLD FOR INFERRING HIV TRANSMISSION CLUSTERS.

    Weaver, Steven / Dávila-Conn, Vanessa / Ji, Daniel / Verdonk, Hannah / Ávila-Ríos, Santiago / Leigh Brown, Andrew J / Wertheim, Joel O / Kosakovsky Pond, Sergei L

    bioRxiv : the preprint server for biology

    2024  

    Abstract: Molecular surveillance of viral pathogens and inference of transmission networks from genomic data play an increasingly important role in public health efforts, especially for HIV-1. For many methods, the genetic distance threshold used to connect ... ...

    Abstract Molecular surveillance of viral pathogens and inference of transmission networks from genomic data play an increasingly important role in public health efforts, especially for HIV-1. For many methods, the genetic distance threshold used to connect sequences in the transmission network is a key parameter informing the properties of inferred networks. Using a distance threshold that is too high can result in a network with many spurious links, making it difficult to interpret. Conversely, a distance threshold that is too low can result in a network with too few links, which may not capture key insights into clusters of public health concern. Published research using the HIV-TRACE software package frequently uses the default threshold of 0.015 substitutions/site for HIV pol gene sequences, but in many cases, investigators heuristically select other threshold parameters to better capture the underlying dynamics of the epidemic they are studying. Here, we present a general heuristic scoring approach for tuning a distance threshold adaptively, which seeks to prevent the formation of giant clusters. We prioritize the ratio of the sizes of the largest and the second largest cluster, maximizing the number of clusters present in the network. We apply our scoring heuristic to outbreaks with different characteristics, such as regional or temporal variability, and demonstrate the utility of using the scoring mechanism's suggested distance threshold to identify clusters exhibiting risk factors that would have otherwise been more difficult to identify. For example, while we found that a 0.015 substitutions/site distance threshold is typical for US-like epidemics, recent outbreaks like the CRF07_BC subtype among men who have sex with men (MSM) in China have been found to have a lower optimal threshold of 0.005 to better capture the transition from injected drug use (IDU) to MSM as the primary risk factor. Alternatively, in communities surrounding Lake Victoria in Uganda, where there has been sustained hetero-sexual transmission for many years, we found that a larger distance threshold is necessary to capture a more risk factor-diverse population with sparse sampling over a longer period of time. Such identification may allow for more informed intervention action by respective public health officials.
    Language English
    Publishing date 2024-03-14
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.03.11.584522
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  9. Article ; Online: HIV-1 Group M Capsid Amino Acid Variability: Implications for Sequence Quality Control of Genotypic Resistance Testing.

    Tao, Kaiming / Rhee, Soo-Yon / Tzou, Philip L / Osman, Zachary A / Pond, Sergei L Kosakovsky / Holmes, Susan P / Shafer, Robert W

    Viruses

    2023  Volume 15, Issue 4

    Abstract: Background: With the approval of the HIV-1 capsid inhibitor, lenacapavir, capsid sequencing will be required for managing lenacapavir-experienced individuals with detectable viremia. Successful sequence interpretation will require examining new capsid ... ...

    Abstract Background: With the approval of the HIV-1 capsid inhibitor, lenacapavir, capsid sequencing will be required for managing lenacapavir-experienced individuals with detectable viremia. Successful sequence interpretation will require examining new capsid sequences in the context of previously published sequence data.
    Methods: We analyzed published HIV-1 group M capsid sequences from 21,012 capsid-inhibitor naïve individuals to characterize amino acid variability at each position and influence of subtype and cytotoxic T lymphocyte (CTL) selection pressure. We determined the distributions of usual mutations, defined as amino acid differences from the group M consensus, with a prevalence ≥ 0.1%. Co-evolving mutations were identified using a phylogenetically-informed Bayesian graphical model method.
    Results: 162 (70.1%) positions had no usual mutations (45.9%) or only conservative usual mutations with a positive BLOSUM62 score (24.2%). Variability correlated independently with subtype-specific amino acid occurrence (Spearman rho = 0.83;
    Conclusions: Knowing the distribution of usual capsid mutations is essential for sequence quality control. Comparing capsid sequences from lenacapavir-treated and lenacapavir-naïve individuals will enable the identification of additional mutations potentially associated with lenacapavir therapy.
    MeSH term(s) Humans ; Capsid/chemistry ; HIV-1/genetics ; HIV-1/chemistry ; Amino Acids/genetics ; Bayes Theorem ; HIV Infections/drug therapy ; HIV Infections/genetics ; Mutation ; Capsid Proteins/genetics ; Capsid Proteins/analysis ; HIV Seropositivity ; Anti-HIV Agents/pharmacology
    Chemical Substances Amino Acids ; Capsid Proteins ; Anti-HIV Agents
    Language English
    Publishing date 2023-04-18
    Publishing country Switzerland
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2516098-9
    ISSN 1999-4915 ; 1999-4915
    ISSN (online) 1999-4915
    ISSN 1999-4915
    DOI 10.3390/v15040992
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  10. Article ; Online: Equiprobable discrete models of site-specific substitution rates underestimate the extent of rate variability.

    Mannino, Frank / Wisotsky, Sadie / Kosakovsky Pond, Sergei L / Muse, Spencer V

    PloS one

    2020  Volume 15, Issue 3, Page(s) e0229493

    Abstract: It is standard practice to model site-to-site variability of substitution rates by discretizing a continuous distribution into a small number, K, of equiprobable rate categories. We demonstrate that the variance of this discretized distribution has an ... ...

    Abstract It is standard practice to model site-to-site variability of substitution rates by discretizing a continuous distribution into a small number, K, of equiprobable rate categories. We demonstrate that the variance of this discretized distribution has an upper bound determined solely by the choice of K and the mean of the distribution. This bound can introduce biases into statistical inference, especially when estimating parameters governing site-to-site variability of substitution rates. Applications to two large collections of sequence alignments demonstrate that this upper bound is often reached in analyses of real data. When parameter estimation is of primary interest, additional rate categories or more flexible modeling methods should be considered.
    MeSH term(s) Algorithms ; Amino Acid Substitution ; Evolution, Molecular ; Likelihood Functions ; Models, Genetic ; Mutation Rate ; Phylogeny ; Sequence Alignment ; Sequence Analysis, DNA/methods
    Language English
    Publishing date 2020-03-02
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0229493
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