Fungal Diversity, Journal Year: 2021, Volume and Issue: 107(1), P. 107 - 127
Published: March 1, 2021
Language: Английский
Fungal Diversity, Journal Year: 2021, Volume and Issue: 107(1), P. 107 - 127
Published: March 1, 2021
Language: Английский
Nature, Journal Year: 2022, Volume and Issue: 603(7902), P. 679 - 686
Published: Jan. 7, 2022
Abstract The SARS-CoV-2 epidemic in southern Africa has been characterized by three distinct waves. first was associated with a mix of lineages, while the second and third waves were driven Beta (B.1.351) Delta (B.1.617.2) variants, respectively 1–3 . In November 2021, genomic surveillance teams South Botswana detected new variant rapid resurgence infections Gauteng province, Africa. Within days genome being uploaded, it designated concern (Omicron, B.1.1.529) World Health Organization and, within weeks, had identified 87 countries. Omicron is exceptional for carrying over 30 mutations spike glycoprotein, which are predicted to influence antibody neutralization function 4 Here we describe profile early transmission dynamics Omicron, highlighting spread regions high levels population immunity.
Language: Английский
Citations
1627Cell, Journal Year: 2020, Volume and Issue: 184(1), P. 64 - 75.e11
Published: Nov. 19, 2020
Global dispersal and increasing frequency of the SARS-CoV-2 spike protein variant D614G are suggestive a selective advantage but may also be due to random founder effect. We investigate hypothesis for positive selection in United Kingdom using more than 25,000 whole genome sequences. Despite availability large dataset, well represented by both 614 variants, not all approaches showed conclusive signal selection. Population genetic analysis indicates that 614G increases relative 614D manner consistent with advantage. do find any indication patients infected have higher COVID-19 mortality or clinical severity, is associated viral load younger age patients. Significant differences growth size phylogenetic clusters indicate need continued study this variant.
Language: Английский
Citations
1018Bulletin of the World Health Organization, Journal Year: 2020, Volume and Issue: 98(7), P. 495 - 504
Published: Feb. 24, 2020
To analyse genome variants of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2).
Language: Английский
Citations
541Molecular Biology and Evolution, Journal Year: 2019, Volume and Issue: 37(1), P. 295 - 299
Published: Aug. 25, 2019
Abstract HYpothesis testing using PHYlogenies (HyPhy) is a scriptable, open-source package for fitting broad range of evolutionary models to multiple sequence alignments, and conducting subsequent parameter estimation hypothesis testing, primarily in the maximum likelihood statistical framework. It has become popular choice characterizing various aspects process: natural selection, rates, recombination, coevolution. The 2.5 release (available from www.hyphy.org) includes completely re-engineered computational core analysis library that introduces new classes tests, delivers substantial performance stability enhancements, improves usability, streamlines end-to-end workflows, makes it easier develop custom analyses, mostly backward compatible with previous HyPhy releases.
Language: Английский
Citations
537Cell, Journal Year: 2021, Volume and Issue: 184(13), P. 3426 - 3437.e8
Published: April 21, 2021
Language: Английский
Citations
520Nature Medicine, Journal Year: 2021, Volume and Issue: 27(7), P. 1230 - 1238
Published: May 25, 2021
Language: Английский
Citations
433Nature, Journal Year: 2021, Volume and Issue: 595(7869), P. 707 - 712
Published: June 7, 2021
Language: Английский
Citations
428Nature Reviews Genetics, Journal Year: 2020, Volume and Issue: 21(7), P. 428 - 444
Published: May 18, 2020
Language: Английский
Citations
400Cell Systems, Journal Year: 2021, Volume and Issue: 12(6), P. 654 - 669.e3
Published: June 1, 2021
Language models have recently emerged as a powerful machine-learning approach for distilling information from massive protein sequence databases. From readily available data alone, these discover evolutionary, structural, and functional organization across space. Using language models, we can encode amino-acid sequences into distributed vector representations that capture their structural properties, well evaluate the evolutionary fitness of variants. We discuss recent advances in modeling applications to downstream property prediction problems. then consider how be enriched with prior biological knowledge introduce an encoding learned representations. The distilled by allows us improve function through transfer learning. Deep are revolutionizing biology. They suggest new ways therapeutic design. However, further developments needed strong priors increase accessibility broader community.
Language: Английский
Citations
361medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2020, Volume and Issue: unknown
Published: Oct. 28, 2020
Following its emergence in late 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global pandemic resulting unprecedented efforts to reduce transmission and develop therapies vaccines (WHO Emergency Committee, 2020; Zhu et al., 2020). Rapidly generated viral genome sequences have allowed the spread of virus be tracked via phylogenetic analysis (Worobey Hadfield 2018; Pybus While globally early 2020 before borders closed, intercontinental travel since been greatly reduced, allowing continent-specific variants emerge. However, within Europe resumed summer 2020, impact this on epidemic is not well understood. Here we report novel SARS-CoV-2 variant, 20E (EU1), that emerged Spain summer, subsequently multiple locations Europe. We find no evidence increased transmissibility but instead demonstrate how rising incidence Spain, resumption across Europe, lack effective screening containment may explain variant's success. Despite restrictions quarantine requirements, estimate (EU1) was introduced hundreds times countries by summertime travellers, likely undermining local keep cases low. Our results variant can rapidly become dominant even absence substantial advantage favorable epidemiological settings. Genomic surveillance critical understanding transmission, thus for informing future strategies as resumes.
Language: Английский
Citations
330