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1.
Annals of Blood ; 6 (no pagination), 2021.
Article in English | EMBASE | ID: covidwho-2327184

ABSTRACT

The A and B oligosaccharide antigens of the ABO blood group system are produced from the common precursor, H substance, by enzymatic reactions catalyzed by A and B glycosyltransferases (AT and BT) encoded by functional A and B alleles at the ABO genetic locus, respectively. In 1990, my research team cloned human A, B, and O allelic cDNAs. We then demonstrated this central dogma of ABO and opened a new era of molecular genetics. We identified four amino acid substitutions between AT and BT and inactivating mutations in the O alleles, clarifying the allelic basis of ABO. We became the first to achieve successful ABO genotyping, discriminating between AA and AO genotypes and between BB and BO, which was impossible using immunohematological/serological methods. We also identified mutations in several subgroup alleles and also in the cis-AB and B(A) alleles that specify the expression of the A and B antigens by single alleles. Later, other scientists interested in the ABO system characterized many additional ABO alleles. However, the situation has changed drastically in the last decade, due to rapid advances in next-generation sequencing (NGS) technology, which has allowed the sequencing of several thousand genes and even the entire genome in individual experiments. Genome sequencing has revealed not only the exome but also transcription/translation regulatory elements. RNA sequencing determines which genes and spliced transcripts are expressed. Because more than 500,000 human genomes have been sequenced and deposited in sequence databases, bioinformaticians can retrieve and analyze this data without generating it. Now, in this era of genomics, we can harness the vast sequence information to unravel the molecular mechanisms responsible for important biological phenomena associated with the ABO polymorphism. Two examples are presented in this review: the delineation of the ABO gene evolution in a variety of species and the association of single nucleotide variant (SNV) sites in the ABO gene with diseases and biological parameters through genome-wide association studies (GWAS).Copyright © Annals of Blood. All rights reserved.

2.
Topics in Antiviral Medicine ; 31(2):337-338, 2023.
Article in English | EMBASE | ID: covidwho-2320458

ABSTRACT

Background: In 2018 we reported the emergence of the new HIV-1 recombinant CRF94-02BF2 involved in a large transmission cluster of 49 French MSM mostly infected in 2016-2017. This CRF94 raised concerns of enhanced virulence. Prevention actions were undertaken in the area and population affected. This study reported the molecular and epidemiological evolution of this CRF94 until June 2022. Method(s): In 2021-2022, French sequence databases were screened for patients infected with HIV-1 subtype CRF94 or similar strain. HIV subtyping was confirmed by phylogenetic analysis of genes encoding both protease and reverse transcriptase (1070bps), and integrase (696bps) using IQ-Tree. Five whole genomes, related but distinct from CRF94, were obtained with the DeepChek assay Whole Genome kits. Recombination breakpoints were estimated using RDP4 and SimPlot. Mann-Whitney and LogRank tests were used for statistical analyses to compare patients' characteristics. Result(s): In June 2022, 49 new HIV-1 sequences were collected: 14 clustered with the 49 previous CRF94, 32 formed a new cluster next to but distinct from CRF94, and 3 strains could not be classified. Analysis of 5 whole genomes from the new cluster revealed a new recombinant, the CRF132-94B, mainly consisting of CRF94 which recombined with subtype B in the POL and accessory genes. Vif gene changed from the F2 to the B subtype. Both CRF94 and 132 clusters involved >95% of MSM, mostly infected < 1 year before diagnosis. However, there were differences: 97% were diagnosed in 2013-2019 for CRF94 vs 90% in 2020-2022 for CRF132. At time of diagnosis, 33% of patients infected with CRF94 knew the Prep vs 95% for CRF132. In the cluster CRF94, patients were older (34 vs 30 years, p=0.02), had higher viral loads (5.42 vs 4.42 log10 copies/Ml;p< 0.001), a lower CD4 cell counts (358 vs 508 /mm3, p=0.002). On treatment, the patients with the CRF94 reached viremia < 50 copies/Ml significantly later than those infected with CRF132 (p=0.0002). The prevention activities targeting the CRF94 cluster could explained the few patients infected with this strain after 2018. The CRF132 is mainly located in another Paris region area, but no specific transmission place has been identified. Conclusion(s): After 2019, the CRF94 spread seems greatly slowed down but the very close CRF132-94B has given birth to a new highly active cluster in 2020- 2022, despite the COVID social-distancing and a strong knowledge of the Prep. CRF132 appears to be less virulent perhaps due to the Vif gene change. Identified breakpoints positions of the new HIV-1 CRF132-94B. GenBank accession numbers of the five references : ON901787 to ON901791.

3.
Journal of Public Health in Africa ; 13:31, 2022.
Article in English | EMBASE | ID: covidwho-2006865

ABSTRACT

Introduction/ Background: Genomic surveillance of SARS-CoV-2 is crucial for monitoring the spread of the disease and guiding public health decisions but the capacity for SARSCoV- 2 sequencing in Africa remains low. This research aims to increase the genomic contribution from the Africa and gain insights of the SARS-CoV-2 infections in Ghana and Africa. Methods: We utilised samples from two sources;firstly, community surveillance undertaken using the Ghana Influenza Surveillance Network and secondly imported cases of SARS-CoV-2 detected in travellers. A total of 457 patients from Ghana, collected from 1st April 2020 to 31st August 2021, were sequenced using Oxford Nanopore Technology sequencing and the ARTIC tiled amplicon method. The sequence lineages were typed using Pangolin and the phylogenetic analysis was carried out using IQtree and TreeTime. Results: We detected three waves of SARS-CoV-2 infections in Ghana. The first wave of infection was mainly contained in the Greater Accra, later spreading to other regions in the second and third wave. B.1 and B.1.1. were the most prevalent lineages in wave one, while the B.1.1.7/alpha variant is responsible for the second wave. An investigation into the lineages detected in Ghana led us to discover that B.1.1.318 (which contains the E484K mutation shown to impact antibody recognition) has a high cumulative prevalence rate in a number of neighbouring West African countries, suggesting that there might be a regional circulation. Impact: The high-quality sequences produced from this study were submitted to the largest open-access SARSCoV- 2 sequence database, increasing the genomic contribution from Africa. By sequencing both community samples and imported cases in Ghana, the study revealed an insight into the SARS-CoV-2 epidemiology in Ghana and West Africa. Conclusion: This study not only informed us of the epidemiological characteristics of the SARS-CoV-2 outbreaks in Ghana, but also shed light on the epidemiological trends of neighbouring countries that may have less sequencing capacity, highlighting the important role of pathogen genomic sequencing in cross-border and regional disease surveillance.

4.
Patterns (N Y) ; 3(9): 100562, 2022 Sep 09.
Article in English | MEDLINE | ID: covidwho-1914886

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome data are essential for epidemiology, vaccine development, and tracking emerging variants. Millions of SARS-CoV-2 genomes have been sequenced during the pandemic. However, downloading SARS-CoV-2 genomes from databases is slow and unreliable, largely due to suboptimal choice of compression method. We evaluated the available compressors and found that Nucleotide Archival Format (NAF) would provide a drastic improvement compared with current methods. For Global Initiative on Sharing Avian Flu Data's (GISAID) pre-compressed datasets, NAF would increase efficiency 52.2 times for gzip-compressed data and 3.7 times for xz-compressed data. For DNA DataBank of Japan (DDBJ), NAF would improve throughput 40 times for gzip-compressed data. For GenBank and European Nucleotide Archive (ENA), NAF would accelerate data distribution by a factor of 29.3 times compared with uncompressed FASTA. This article provides a tutorial for installing and using NAF. Offering a NAF download option in sequence databases would provide a significant saving of time, bandwidth, and disk space and accelerate biological and medical research worldwide.

5.
Open Forum Infectious Diseases ; 8(SUPPL 1):S424, 2021.
Article in English | EMBASE | ID: covidwho-1746397

ABSTRACT

Background. Animal bites are considered the thirteenth leading cause of nonfatal ED visits. Epidemiology studies have shown a rise in dog bites during the COVID-19 pandemic in the U.S. In Oct. 2020, we received a facultatively anaerobic, non-hemolytic Gram-negative rod (OL1) from a dog bite wound for identification. 16S rRNA gene sequencing showed OL1 was 95.9% identical to Ottowia pentelensis in the family Comamonadaceae. Our historical sequence database revealed 8 additional isolates (OL2-OL9) from hand wounds/abscesses (including 3 dog bites) since 2012 that had > 99.8% identity with OL1. Most other Ottowia sp. have been isolated from industrial and food sources, with no reports from patient samples. As these clinical isolates likely represent a novel Ottowia species, we aimed to characterize them using both phenotypic and genomic approaches. Methods. The OL isolates were tested in API 20 NE panels (8 conventional and 12 assimilation tests) for 4 d. Paired-end genomic DNA libraries (Nextera DNA Flex Library Prep, Illumina) were sequenced as 150 nt reads by Illumina NovaSeq. De novo assembly, annotation, functional prediction, and phylogenetic analyses were performed with Geneious, PATRIC, and web-prediction databases. Strain comparison was done with StrainTypeMer. Results. All 9 OL isolates were negative for indole, urea, arginine, esculin, PNPG, glucose fermentation and carbohydrate assimilation tests. Potassium gluconate assimilation and gelatin hydrolysis were positive for 5 and 4 isolates, respectively. StrainTypeMer showed the isolates from different patients were not closely related, but 2 from the same patient were indistinguishable. The estimated genome size was ~3.1 Mbp, with 66.1% G/C, and ~3523 coding genes. Potential virulence factors (BrkB and MviM), multidrug efflux systems (MdtABC-TolC and Bcr/CflA), and 1-2 intact prophages were identified. Genomic phylogenetic analysis with RAxML showed the OL isolates clustered separately from all known Ottowia spp. Conclusion. These OL isolates are fastidious, Gram-negative bacilli from clinical wound specimens, and are associated with dog bites. Genomic and 16S rRNA gene sequence analysis suggests these isolates constitute a novel species within the family Comamonadaceae.

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