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Zhu H, Zhu D, Wu K, He W, Li L, Li T, Liu L, Liu Z, Song X, Cheng W, Mo J, Yao Y, Li J. Establishment and evaluation of a qPCR method for the detection of pfmdr1 mutations in Plasmodium falciparum, the causal agent of fatal malaria. Diagn Microbiol Infect Dis 2024; 110:116400. [PMID: 38909426 DOI: 10.1016/j.diagmicrobio.2024.116400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 05/23/2024] [Accepted: 06/10/2024] [Indexed: 06/25/2024]
Abstract
Drug resistance surveillance is a major integral part of malaria control programs. Molecular methods play a pivotal role in drug resistance detection and related molecular research. This study aimed to develop a rapid and accurate detection method for drug resistance of Plasmodium falciparum (P. falciparum). A quantitative real-time PCR (qPCR) assay has been developed that identifies the mutation at locus A256T in the P.falciparum multi-drug resistance(pfmdr1) gene producing amino acid change at position 86. The results of 198 samples detected by qPCR were consistent with nested PCR and sequencing, giving an accuracy of 94.3%. The sensitivity, specificity, positive and negative predictive value of qPCR were 85.7%, 97.6%, 90.0% and 96.4%, respectively. The results of qPCR are basically consistent with the nested PCR, which is expected to replace the nested PCR as a new molecular biological method for drug resistance detection, providing reliable technical support for global malaria prevention and control.
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Affiliation(s)
- Huiyin Zhu
- Shiyan Key Laboratory of Virology, Hubei University of Medicine, Shiyan 442000, PR China; Department of Pediatrics, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, PR China
| | - Daiqian Zhu
- Shiyan Key Laboratory of Virology, Hubei University of Medicine, Shiyan 442000, PR China
| | - Kai Wu
- Wuhan Centers for Disease Prevention and Control, Wuhan 430024, PR China
| | - Wei He
- Jiangnan University, Wuxi 442000, PR China
| | - Liugen Li
- Shiyan Key Laboratory of Virology, Hubei University of Medicine, Shiyan 442000, PR China
| | - Tongfei Li
- Shiyan Key Laboratory of Virology, Hubei University of Medicine, Shiyan 442000, PR China
| | - Long Liu
- Shiyan Key Laboratory of Virology, Hubei University of Medicine, Shiyan 442000, PR China
| | - Zhixin Liu
- Shiyan Key Laboratory of Virology, Hubei University of Medicine, Shiyan 442000, PR China
| | - Xiaonan Song
- Shiyan Key Laboratory of Virology, Hubei University of Medicine, Shiyan 442000, PR China
| | - Weijia Cheng
- Shiyan Key Laboratory of Virology, Hubei University of Medicine, Shiyan 442000, PR China
| | - Jinyu Mo
- Shiyan Key Laboratory of Virology, Hubei University of Medicine, Shiyan 442000, PR China
| | - Yi Yao
- Department of Pediatrics, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, PR China
| | - Jian Li
- Shiyan Key Laboratory of Virology, Hubei University of Medicine, Shiyan 442000, PR China.
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de Paula Baptista R, Tucker MS, Valente MJ, Srivastava SK, Chehab N, Li A, Shaik JS, Ramirez JD, Rosenthal BM, Khan A. Comparative genomics of Giardia duodenalis sub-assemblage AI beaver (Be-2) and human (WB-C6) strains show remarkable homozygosity, sequence similarity, and conservation of VSP genes. Sci Rep 2024; 14:13582. [PMID: 38866814 PMCID: PMC11169602 DOI: 10.1038/s41598-024-63783-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 06/03/2024] [Indexed: 06/14/2024] Open
Abstract
Giardia duodenalis, a major cause of waterborne infection, infects a wide range of mammalian hosts and is subdivided into eight genetically well-defined assemblages named A through H. However, fragmented genomes and a lack of comparative analysis within and between the assemblages render unclear the molecular mechanisms controlling host specificity and differential disease outcomes. To address this, we generated a near-complete de novo genome of AI assemblage using the Oxford Nanopore platform by sequencing the Be-2 genome. We generated 148,144 long-reads with quality scores of > 7. The final genome assembly consists of only nine contigs with an N50 of 3,045,186 bp. This assembly agrees closely with the assembly of another strain in the AI assemblage (WB-C6). However, a critical difference is that a region previously placed in the five-prime region of Chr5 belongs to Chr4 of Be-2. We find a high degree of conservation in the ploidy, homozygosity, and the presence of cysteine-rich variant-specific surface proteins (VSPs) within the AI assemblage. Our assembly provides a nearly complete genome of a member of the AI assemblage of G. duodenalis, aiding population genomic studies capable of elucidating Giardia transmission, host range, and pathogenicity.
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Affiliation(s)
- Rodrigo de Paula Baptista
- Houston Methodist Research Institute, Houston, TX, 77030, USA
- Department of Medicine, Weill Cornell Medicine College, New York, NY, 10065, USA
| | - Matthew S Tucker
- Animal Parasitic Diseases Laboratory, Agricultural Research Service, US Department of Agriculture, Beltsville, MD, 20705, USA
| | - Matthew J Valente
- Animal Parasitic Diseases Laboratory, Agricultural Research Service, US Department of Agriculture, Beltsville, MD, 20705, USA
| | - Subodh K Srivastava
- Animal Parasitic Diseases Laboratory, Agricultural Research Service, US Department of Agriculture, Beltsville, MD, 20705, USA
| | - Nadya Chehab
- Animal Parasitic Diseases Laboratory, Agricultural Research Service, US Department of Agriculture, Beltsville, MD, 20705, USA
| | - Alison Li
- Animal Parasitic Diseases Laboratory, Agricultural Research Service, US Department of Agriculture, Beltsville, MD, 20705, USA
| | - Jahangheer S Shaik
- Insights and Analytics, Applied Data Science and Learning, Data Science Institute, Takeda, Cambridge, MA, 02142, USA
| | - Juan David Ramirez
- Centro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
- Molecular Microbiology Laboratory, Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Benjamin M Rosenthal
- Animal Parasitic Diseases Laboratory, Agricultural Research Service, US Department of Agriculture, Beltsville, MD, 20705, USA
| | - Asis Khan
- Animal Parasitic Diseases Laboratory, Agricultural Research Service, US Department of Agriculture, Beltsville, MD, 20705, USA.
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Sadr S, Ahmadi Simab P, Niazi M, Yousefsani Z, Lotfalizadeh N, Hajjafari A, Borji H. Anti-inflammatory and immunomodulatory effects of mesenchymal stem cell therapy on parasitic drug resistance. Expert Rev Anti Infect Ther 2024; 22:435-451. [PMID: 38804866 DOI: 10.1080/14787210.2024.2360684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 05/23/2024] [Indexed: 05/29/2024]
Abstract
INTRODUCTION The emergence of antiparasitic drug resistance poses a concerning threat to animals and humans. Mesenchymal Stem Cells (MSCs) have been widely used to treat infections in humans, pets, and livestock. Although this is an emerging field of study, the current review outlines possible mechanisms and examines potential synergism in combination therapies and the possible harmful effects of such an approach. AREAS COVERED The present study delved into the latest pre-clinical research on utilizing MSCs to treat parasitic infections. As per investigations, the introduction of MSCs to patients grappling with parasitic diseases like schistosomiasis, malaria, cystic echinococcosis, toxoplasmosis, leishmaniasis, and trypanosomiasis has shown a reduction in parasite prevalence. This intervention also alters the levels of both pro- and anti-inflammatory cytokines. Furthermore, the combined administration of MSCs and antiparasitic drugs has demonstrated enhanced efficacy in combating parasites and modulating the immune response. EXPERT OPINION Mesenchymal stem cells are a potential solution for addressing parasitic drug resistance. This is mainly because of their remarkable immunomodulatory abilities, which can potentially help combat parasites' resistance to drugs.
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Affiliation(s)
- Soheil Sadr
- Department of Pathobiology, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Pouria Ahmadi Simab
- Department of Pathobiology, Faculty of Veterinary Medicine, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran
| | - Mahta Niazi
- Department of Pathobiology, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Zahra Yousefsani
- Department of Pathobiology, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Narges Lotfalizadeh
- Department of Pathobiology, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Ashkan Hajjafari
- Department of Pathobiology, Faculty of Veterinary Medicine, Islamic Azad University, Science and Research Branch, Tehran, Iran
| | - Hassan Borji
- Department of Pathobiology, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad, Iran
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de Cesare M, Mwenda M, Jeffreys AE, Chirwa J, Drakeley C, Schneider K, Mambwe B, Glanz K, Ntalla C, Carrasquilla M, Portugal S, Verity RJ, Bailey JA, Ghinai I, Busby GB, Hamainza B, Hawela M, Bridges DJ, Hendry JA. Flexible and cost-effective genomic surveillance of P. falciparum malaria with targeted nanopore sequencing. Nat Commun 2024; 15:1413. [PMID: 38360754 PMCID: PMC10869361 DOI: 10.1038/s41467-024-45688-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 01/31/2024] [Indexed: 02/17/2024] Open
Abstract
Genomic surveillance of Plasmodium falciparum malaria can provide policy-relevant information about antimalarial drug resistance, diagnostic test failure, and the evolution of vaccine targets. Yet the large and low complexity genome of P. falciparum complicates the development of genomic methods, while resource constraints in malaria endemic regions can limit their deployment. Here, we demonstrate an approach for targeted nanopore sequencing of P. falciparum from dried blood spots (DBS) that enables cost-effective genomic surveillance of malaria in low-resource settings. We release software that facilitates flexible design of amplicon sequencing panels and use this software to design two target panels for P. falciparum. The panels generate 3-4 kbp reads for eight and sixteen targets respectively, covering key drug-resistance associated genes, diagnostic test antigens, polymorphic markers and the vaccine target csp. We validate our approach on mock and field samples, demonstrating robust sequencing coverage, accurate variant calls within coding sequences, the ability to explore P. falciparum within-sample diversity and to detect deletions underlying rapid diagnostic test failure.
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Affiliation(s)
- Mariateresa de Cesare
- Nuffield Department of Medicine, University of Oxford, Wellcome Centre for Human Genetics, Oxford, UK
| | | | - Anna E Jeffreys
- Nuffield Department of Medicine, University of Oxford, Wellcome Centre for Human Genetics, Oxford, UK
| | - Jacob Chirwa
- National Malaria Elimination Centre, Chainama, Lusaka, Zambia
| | | | | | | | - Karolina Glanz
- Max Planck Institute for Infection Biology, Berlin, Germany
| | | | | | | | | | - Jeffrey A Bailey
- Department of Pathology and Laboratory Medicine and Center for Computational Molecular Biology, Brown University, Providence, RI, USA
| | - Isaac Ghinai
- Nuffield Department of Medicine, University of Oxford, Wellcome Centre for Human Genetics, Oxford, UK
| | - George B Busby
- Nuffield Department of Medicine, University of Oxford, Wellcome Centre for Human Genetics, Oxford, UK
| | - Busiku Hamainza
- National Malaria Elimination Centre, Chainama, Lusaka, Zambia
| | - Moonga Hawela
- National Malaria Elimination Centre, Chainama, Lusaka, Zambia
| | | | - Jason A Hendry
- Nuffield Department of Medicine, University of Oxford, Wellcome Centre for Human Genetics, Oxford, UK.
- Max Planck Institute for Infection Biology, Berlin, Germany.
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5
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Holzschuh A, Lerch A, Fakih BS, Aliy SM, Ali MH, Ali MA, Bruzzese DJ, Yukich J, Hetzel MW, Koepfli C. Using a mobile nanopore sequencing lab for end-to-end genomic surveillance of Plasmodium falciparum: A feasibility study. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0002743. [PMID: 38300956 PMCID: PMC10833559 DOI: 10.1371/journal.pgph.0002743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 12/20/2023] [Indexed: 02/03/2024]
Abstract
Genomic epidemiology holds promise for malaria control and elimination efforts, for example by informing on Plasmodium falciparum genetic diversity and prevalence of mutations conferring anti-malarial drug resistance. Limited sequencing infrastructure in many malaria-endemic areas prevents the rapid generation of genomic data. To address these issues, we developed and validated assays for P. falciparum nanopore sequencing in endemic sites using a mobile laboratory, targeting key antimalarial drug resistance markers and microhaplotypes. Using two multiplexed PCR reactions, we amplified six highly polymorphic microhaplotypes and ten drug resistance markers. We developed a bioinformatics workflow that allows genotyping of polyclonal malaria infections, including minority clones. We validated the panels on mock dried blood spot (DBS) and rapid diagnostic test (RDT) samples and archived DBS, demonstrating even, high read coverage across amplicons (range: 580x to 3,212x median coverage), high haplotype calling accuracy, and the ability to explore within-sample diversity of polyclonal infections. We field-tested the feasibility of rapid genotyping in Zanzibar in close collaboration with the local malaria elimination program using DBS and routinely collected RDTs as sample inputs. Our assay identified haplotypes known to confer resistance to known antimalarials in the dhfr, dhps and mdr1 genes, but no evidence of artemisinin partial resistance. Most infections (60%) were polyclonal, with high microhaplotype diversity (median HE = 0.94). In conclusion, our assays generated actionable data within a few days, and we identified current challenges for implementing nanopore sequencing in endemic countries to accelerate malaria control and elimination.
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Affiliation(s)
- Aurel Holzschuh
- Department of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, United States of America
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
| | - Anita Lerch
- Department of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, United States of America
| | - Bakar S. Fakih
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
- Ifakara Health Institute, Dar es Salaam, United Republic of Tanzania
| | - Safia Mohammed Aliy
- Zanzibar Malaria Elimination Programme, Ministry of Health, Zanzibar, United Republic of Tanzania
| | - Mohamed Haji Ali
- Zanzibar Malaria Elimination Programme, Ministry of Health, Zanzibar, United Republic of Tanzania
| | - Mohamed Ali Ali
- Zanzibar Malaria Elimination Programme, Ministry of Health, Zanzibar, United Republic of Tanzania
| | - Daniel J. Bruzzese
- Department of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, United States of America
| | - Joshua Yukich
- School of Public Health and Tropical Medicine, Tulane University, New Orleans, United States of America
| | - Manuel W. Hetzel
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
| | - Cristian Koepfli
- Department of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, United States of America
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6
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Delandre O, Lamer O, Loreau JM, Papa Mze N, Fonta I, Mosnier J, Gomez N, Javelle E, Pradines B. Long-Read Sequencing and De Novo Genome Assembly Pipeline of Two Plasmodium falciparum Clones ( Pf3D7, PfW2) Using Only the PromethION Sequencer from Oxford Nanopore Technologies without Whole-Genome Amplification. BIOLOGY 2024; 13:89. [PMID: 38392307 PMCID: PMC10886359 DOI: 10.3390/biology13020089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 01/25/2024] [Accepted: 01/29/2024] [Indexed: 02/24/2024]
Abstract
Antimalarial drug resistance has become a real public health problem despite WHO measures. New sequencing technologies make it possible to investigate genomic variations associated with resistant phenotypes at the genome-wide scale. Based on the use of hemisynthetic nanopores, the PromethION technology from Oxford Nanopore Technologies can produce long-read sequences, in contrast to previous short-read technologies used as the gold standard to sequence Plasmodium. Two clones of P. falciparum (Pf3D7 and PfW2) were sequenced in long-read using the PromethION sequencer from Oxford Nanopore Technologies without genomic amplification. This made it possible to create a processing analysis pipeline for human Plasmodium with ONT Fastq only. De novo assembly revealed N50 lengths of 18,488 kb and 17,502 kb for the Pf3D7 and PfW2, respectively. The genome size was estimated at 23,235,407 base pairs for the Pf3D7 clone and 21,712,038 base pairs for the PfW2 clone. The average genome coverage depth was estimated at 787X and 653X for the Pf3D7 and PfW2 clones, respectively. This study proposes an assembly processing pipeline for the human Plasmodium genome using software adapted to large ONT data and the high AT percentage of Plasmodium. This search provides all the parameters which were optimized for use with the software selected in the pipeline.
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Affiliation(s)
- Océane Delandre
- Unité Parasitologie et Entomologie, Département Microbiologie et Maladies Infectieuses, Institut de Recherche Biomédicale des Armées, 13005 Marseille, France
- Aix Marseille Univ, IRD, SSA, AP-HM, VITROME, 13005 Marseille, France
- IHU Méditerranée Infection, 13005 Marseille, France
| | - Ombeline Lamer
- Unité Bactériologie, Département Microbiologie et Maladies Infectieuses, Institut de Recherche Biomédicale des Armées, 91220 Brétigny-sur-Orge, France
- Aix-Marseille Univ, INSERM, SSA, IRBA, MCT, 13005 Marseille, France
| | - Jean-Marie Loreau
- French Armed Forces Center for Epidemiology and Public Health (CESPA), 13014 Marseille, France
| | - Nasserdine Papa Mze
- Service de Biologie, Unité de Microbiologie, Hôpital Mignot, Centre Hospitalier de Versailles, 78150 Versailles, France
| | - Isabelle Fonta
- Unité Parasitologie et Entomologie, Département Microbiologie et Maladies Infectieuses, Institut de Recherche Biomédicale des Armées, 13005 Marseille, France
- Aix Marseille Univ, IRD, SSA, AP-HM, VITROME, 13005 Marseille, France
- IHU Méditerranée Infection, 13005 Marseille, France
- Centre National de Référence du Paludisme, 13005 Marseille, France
| | - Joel Mosnier
- Unité Parasitologie et Entomologie, Département Microbiologie et Maladies Infectieuses, Institut de Recherche Biomédicale des Armées, 13005 Marseille, France
- Aix Marseille Univ, IRD, SSA, AP-HM, VITROME, 13005 Marseille, France
- IHU Méditerranée Infection, 13005 Marseille, France
- Centre National de Référence du Paludisme, 13005 Marseille, France
| | - Nicolas Gomez
- Unité Parasitologie et Entomologie, Département Microbiologie et Maladies Infectieuses, Institut de Recherche Biomédicale des Armées, 13005 Marseille, France
- Aix Marseille Univ, IRD, SSA, AP-HM, VITROME, 13005 Marseille, France
- IHU Méditerranée Infection, 13005 Marseille, France
- Centre National de Référence du Paludisme, 13005 Marseille, France
| | - Emilie Javelle
- Unité Parasitologie et Entomologie, Département Microbiologie et Maladies Infectieuses, Institut de Recherche Biomédicale des Armées, 13005 Marseille, France
- Aix Marseille Univ, IRD, SSA, AP-HM, VITROME, 13005 Marseille, France
- IHU Méditerranée Infection, 13005 Marseille, France
- Centre National de Référence du Paludisme, 13005 Marseille, France
| | - Bruno Pradines
- Unité Parasitologie et Entomologie, Département Microbiologie et Maladies Infectieuses, Institut de Recherche Biomédicale des Armées, 13005 Marseille, France
- Aix Marseille Univ, IRD, SSA, AP-HM, VITROME, 13005 Marseille, France
- IHU Méditerranée Infection, 13005 Marseille, France
- Centre National de Référence du Paludisme, 13005 Marseille, France
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Safar HA, Alatar F, Mustafa AS. Three Rounds of Read Correction Significantly Improve Eukaryotic Protein Detection in ONT Reads. Microorganisms 2024; 12:247. [PMID: 38399651 PMCID: PMC10893331 DOI: 10.3390/microorganisms12020247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 01/19/2024] [Accepted: 01/23/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Eukaryotes' whole-genome sequencing is crucial for species identification, gene detection, and protein annotation. Oxford Nanopore Technology (ONT) is an affordable and rapid platform for sequencing eukaryotes; however, the relatively higher error rates require computational and bioinformatic efforts to produce more accurate genome assemblies. Here, we evaluated the effect of read correction tools on eukaryote genome completeness, gene detection and protein annotation. METHODS Reads generated by ONT of four eukaryotes, C. albicans, C. gattii, S. cerevisiae, and P. falciparum, were assembled using minimap2 and underwent three rounds of read correction using flye, medaka and racon. The generates consensus FASTA files were compared for total length (bp), genome completeness, gene detection, and protein-annotation by QUAST, BUSCO, BRAKER1 and InterProScan, respectively. RESULTS Genome completeness was dependent on the assembly method rather than on the read correction tool; however, medaka performed better than flye and racon. Racon significantly performed better than flye and medaka in gene detection, while both racon and medaka significantly performed better than flye in protein-annotation. CONCLUSION We show that three rounds of read correction significantly affect gene detection and protein annotation, which are dependent on assembly quality in preference to assembly completeness.
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Affiliation(s)
- Hussain A. Safar
- OMICS Research Unit, Health Science Centre, Kuwait University, Kuwait City 13110, Kuwait;
| | - Fatemah Alatar
- Serology and Molecular Microbiology Reference Laboratory, Mubarak Al-Kabeer Hospital, Ministry of Health, Kuwait City 13110, Kuwait;
| | - Abu Salim Mustafa
- Department of Microbiology, Faculty of Medicine, Kuwait University, Kuwait City 13110, Kuwait
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8
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Girgis ST, Adika E, Nenyewodey FE, Senoo Jnr DK, Ngoi JM, Bandoh K, Lorenz O, van de Steeg G, Harrott AJR, Nsoh S, Judge K, Pearson RD, Almagro-Garcia J, Saiid S, Atampah S, Amoako EK, Morang'a CM, Asoala V, Adjei ES, Burden W, Roberts-Sengier W, Drury E, Pierce ML, Gonçalves S, Awandare GA, Kwiatkowski DP, Amenga-Etego LN, Hamilton WL. Drug resistance and vaccine target surveillance of Plasmodium falciparum using nanopore sequencing in Ghana. Nat Microbiol 2023; 8:2365-2377. [PMID: 37996707 PMCID: PMC10686832 DOI: 10.1038/s41564-023-01516-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 10/06/2023] [Indexed: 11/25/2023]
Abstract
Malaria results in over 600,000 deaths annually, with the highest burden of deaths in young children living in sub-Saharan Africa. Molecular surveillance can provide important information for malaria control policies, including detection of antimalarial drug resistance. However, genome sequencing capacity in malaria-endemic countries is limited. We designed and implemented an end-to-end workflow to detect Plasmodium falciparum antimalarial resistance markers and diversity in the vaccine target circumsporozoite protein (csp) using nanopore sequencing in Ghana. We analysed 196 clinical samples and showed that our method is rapid, robust, accurate and straightforward to implement. Importantly, our method could be applied to dried blood spot samples, which are readily collected in endemic settings. We report that P. falciparum parasites in Ghana are mostly susceptible to chloroquine, with persistent sulfadoxine-pyrimethamine resistance and no evidence of artemisinin resistance. Multiple single nucleotide polymorphisms were identified in csp, but their significance is uncertain. Our study demonstrates the feasibility of nanopore sequencing for malaria genomic surveillance in endemic countries.
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Affiliation(s)
- Sophia T Girgis
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Edem Adika
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | - Felix E Nenyewodey
- Navrongo Health Research Centre (NHRC), Ghana Health Service, Navrongo, Upper East Region, Ghana
| | - Dodzi K Senoo Jnr
- Navrongo Health Research Centre (NHRC), Ghana Health Service, Navrongo, Upper East Region, Ghana
| | - Joyce M Ngoi
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | - Kukua Bandoh
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | - Oliver Lorenz
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Guus van de Steeg
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | | | - Sebastian Nsoh
- Navrongo Health Research Centre (NHRC), Ghana Health Service, Navrongo, Upper East Region, Ghana
| | - Kim Judge
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Richard D Pearson
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | | | - Samirah Saiid
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | - Solomon Atampah
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | - Enock K Amoako
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | - Collins M Morang'a
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | - Victor Asoala
- Navrongo Health Research Centre (NHRC), Ghana Health Service, Navrongo, Upper East Region, Ghana
| | - Elrmion S Adjei
- Ledzokuku Krowor Municipal Assembly (LEKMA) Hospital, Accra, Ghana
| | - William Burden
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | | | - Eleanor Drury
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Megan L Pierce
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Sónia Gonçalves
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Gordon A Awandare
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | | | - Lucas N Amenga-Etego
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Legon, Ghana.
| | - William L Hamilton
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.
- Department of Medicine, University of Cambridge, Cambridge, UK.
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
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Balau A, Sobral D, Abrantes P, Santos I, Mixão V, Gomes JP, Antunes S, Arez AP. Differential Gene Expression of Malaria Parasite in Response to Red Blood Cell-Specific Glycolytic Intermediate 2,3-Diphosphoglycerate (2,3-DPG). Int J Mol Sci 2023; 24:16869. [PMID: 38069204 PMCID: PMC10706422 DOI: 10.3390/ijms242316869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 11/20/2023] [Accepted: 11/23/2023] [Indexed: 12/18/2023] Open
Abstract
Innovative strategies to control malaria are urgently needed. Exploring the interplay between Plasmodium sp. parasites and host red blood cells (RBCs) offers opportunities for novel antimalarial interventions. Pyruvate kinase deficiency (PKD), characterized by heightened 2,3-diphosphoglycerate (2,3-DPG) concentration, has been associated with protection against malaria. Elevated levels of 2,3-DPG, a specific mammalian metabolite, may hinder glycolysis, prompting us to hypothesize its potential contribution to PKD-mediated protection. We investigated the impact of the extracellular supplementation of 2,3-DPG on the Plasmodium falciparum intraerythrocytic developmental cycle in vitro. The results showed an inhibition of parasite growth, resulting from significantly fewer progeny from 2,3-DPG-treated parasites. We analyzed differential gene expression and the transcriptomic profile of P. falciparum trophozoites, from in vitro cultures subjected or not subjected to the action of 2,3-DPG, using Nanopore Sequencing Technology. The presence of 2,3-DPG in the culture medium was associated with the significant differential expression of 71 genes, mostly associated with the GO terms nucleic acid binding, transcription or monoatomic anion channel. Further, several genes related to cell cycle control were downregulated in treated parasites. These findings suggest that the presence of this RBC-specific glycolytic metabolite impacts the expression of genes transcribed during the parasite trophozoite stage and the number of merozoites released from individual schizonts, which supports the potential role of 2,3-DPG in the mechanism of protection against malaria by PKD.
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Affiliation(s)
- Ana Balau
- Global Health and Tropical Medicine (GHTM), Associate Laboratory in Translation and Innovation towards Global Health (LA-REAL), Instituto de Higiene e Medicina Tropical (IHMT), Universidade NOVA de Lisboa (UNL), 1349-008 Lisbon, Portugal; (A.B.); (P.A.); (I.S.); (S.A.)
| | - Daniel Sobral
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), 1649-016 Lisbon, Portugal; (D.S.); (V.M.); (J.P.G.)
| | - Patrícia Abrantes
- Global Health and Tropical Medicine (GHTM), Associate Laboratory in Translation and Innovation towards Global Health (LA-REAL), Instituto de Higiene e Medicina Tropical (IHMT), Universidade NOVA de Lisboa (UNL), 1349-008 Lisbon, Portugal; (A.B.); (P.A.); (I.S.); (S.A.)
| | - Inês Santos
- Global Health and Tropical Medicine (GHTM), Associate Laboratory in Translation and Innovation towards Global Health (LA-REAL), Instituto de Higiene e Medicina Tropical (IHMT), Universidade NOVA de Lisboa (UNL), 1349-008 Lisbon, Portugal; (A.B.); (P.A.); (I.S.); (S.A.)
| | - Verónica Mixão
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), 1649-016 Lisbon, Portugal; (D.S.); (V.M.); (J.P.G.)
| | - João Paulo Gomes
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), 1649-016 Lisbon, Portugal; (D.S.); (V.M.); (J.P.G.)
- Veterinary and Animal Research Centre (CECAV), Faculty of Veterinary Medicine, Lusófona University, 1749-024 Lisbon, Portugal
| | - Sandra Antunes
- Global Health and Tropical Medicine (GHTM), Associate Laboratory in Translation and Innovation towards Global Health (LA-REAL), Instituto de Higiene e Medicina Tropical (IHMT), Universidade NOVA de Lisboa (UNL), 1349-008 Lisbon, Portugal; (A.B.); (P.A.); (I.S.); (S.A.)
| | - Ana Paula Arez
- Global Health and Tropical Medicine (GHTM), Associate Laboratory in Translation and Innovation towards Global Health (LA-REAL), Instituto de Higiene e Medicina Tropical (IHMT), Universidade NOVA de Lisboa (UNL), 1349-008 Lisbon, Portugal; (A.B.); (P.A.); (I.S.); (S.A.)
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10
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Kayiba NK, Tshibangu-Kabamba E, Rosas-Aguirre A, Kaku N, Nakagama Y, Kaneko A, Makaba DM, Malekita DY, Devleesschauwer B, Likwela JL, Zakayi PK, DeMol P, Lelo GM, Hayette MP, Dikassa PL, Kido Y, Speybroeck N. The landscape of drug resistance in Plasmodium falciparum malaria in the Democratic Republic of Congo: a mapping systematic review. Trop Med Health 2023; 51:64. [PMID: 37968745 PMCID: PMC10647042 DOI: 10.1186/s41182-023-00551-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 10/16/2023] [Indexed: 11/17/2023] Open
Abstract
CONTEXT The Democratic Republic of Congo (DRC), one of the most malaria-affected countries worldwide, is a potential hub for global drug-resistant malaria. This study aimed at summarizing and mapping surveys of malaria parasites carrying molecular markers of drug-resistance across the country. METHODS A systematic mapping review was carried out before July 2023 by searching for relevant articles through seven databases (PubMed, Embase, Scopus, African Journal Online, African Index Medicus, Bioline and Web of Science). RESULTS We identified 1541 primary studies of which 29 fulfilled inclusion criteria and provided information related to 6385 Plasmodium falciparum clinical isolates (collected from 2000 to 2020). We noted the PfCRT K76T mutation encoding for chloroquine-resistance in median 32.1% [interquartile interval, IQR: 45.2] of analyzed malaria parasites. The proportion of parasites carrying this mutation decreased overtime, but wide geographic variations persisted. A single isolate had encoded the PfK13 R561H substitution that is invoked in artemisinin-resistance emergence in the Great Lakes region of Africa. Parasites carrying various mutations linked to resistance to the sulfadoxine-pyrimethamine combination were widespread and reflected a moderate resistance profile (PfDHPS A437G: 99.5% [IQR: 3.9]; PfDHPS K540E: 38.9% [IQR: 47.7]) with median 13.1% [IQR: 10.3] of them being quintuple IRN-GE mutants (i.e., parasites carrying the PfDHFR N51I-C59R-S108N and PfDHPS A437G-K540E mutations). These quintuple mutants tended to prevail in eastern regions of the country. Among circulating parasites, we did not record any parasites harboring mutations related to mefloquine-resistance, but we could suspect those with decreased susceptibility to quinine, amodiaquine, and lumefantrine based on corresponding molecular surrogates. CONCLUSIONS Drug resistance poses a serious threat to existing malaria therapies and chemoprevention options in the DRC. This review provides a baseline for monitoring public health efforts as well as evidence for decision-making in support of national malaria policies and for implementing regionally tailored control measures across the country.
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Affiliation(s)
- Nadine Kalenda Kayiba
- Research Institute of Health and Society, Université Catholique de Louvain, Brussels, Belgium
- Department of Public Health, Faculty of Medicine, University of Mbujimayi, Mbujimayi, Democratic Republic of Congo
- Research Center for Infectious Disease Science & Department of Virology and Parasitology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
| | - Evariste Tshibangu-Kabamba
- Research Center for Infectious Disease Science & Department of Virology and Parasitology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
- Department of Internal Medicine, Faculty of Medicine, University of Mbujimayi, Mbujimayi, Democratic Republic of Congo
| | - Angel Rosas-Aguirre
- Research Institute of Health and Society, Université Catholique de Louvain, Brussels, Belgium
| | - Natsuko Kaku
- Research Center for Infectious Disease Science & Department of Virology and Parasitology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
| | - Yu Nakagama
- Research Center for Infectious Disease Science & Department of Virology and Parasitology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
| | - Akira Kaneko
- Research Center for Infectious Disease Science & Department of Virology and Parasitology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
| | - Dieudonné Mvumbi Makaba
- Department of Basic Sciences, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo
- Department of Quality of Laboratories, Sciensano, Brussels, Belgium
| | - Doudou Yobi Malekita
- Department of Basic Sciences, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Brecht Devleesschauwer
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
- Department of Translational Physiology, Infectiology and Public Health, Ghent University, Merelbeke, Belgium
| | - Joris Losimba Likwela
- Department of Public Health, Faculty of Medicine, University of Kisangani, Kisangani, Democratic Republic of Congo
| | - Pius Kabututu Zakayi
- Department of Basic Sciences, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Patrick DeMol
- Laboratory of Clinical Microbiology, Center for Interdisciplinary Research on Medicines, University of Liège, Liège, Belgium
| | - Georges Mvumbi Lelo
- Department of Basic Sciences, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Marie-Pierre Hayette
- Laboratory of Clinical Microbiology, Center for Interdisciplinary Research on Medicines, University of Liège, Liège, Belgium
| | - Paul Lusamba Dikassa
- School of Public Health, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Yasutoshi Kido
- Research Center for Infectious Disease Science & Department of Virology and Parasitology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
| | - Niko Speybroeck
- Research Institute of Health and Society, Université Catholique de Louvain, Brussels, Belgium
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11
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Okumura S, Ohsato Y. A novel rapid detection method for a single-nucleotide substitution mutation derived from canine urothelial and prostatic carcinoma cells present in small amounts in urine sediments. PLoS One 2023; 18:e0286229. [PMID: 37733700 PMCID: PMC10513316 DOI: 10.1371/journal.pone.0286229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 09/06/2023] [Indexed: 09/23/2023] Open
Abstract
For early detection of canine urothelial and prostatic carcinoma, we intend to develop and commercialize a simple and rapid detection method for the BRAF V595E mutation, a known mutation in this cancer. Detection of the single-nucleotide substitution in cancer cells contained in urine sediments is effective for early cancer diagnosis. However, urine sediment also contains many normal cells, and when there is a small relative composition of cancer cells, the mutation is difficult to detect by conventional methods other than next-generation sequencing. Our new detection method enables reliable discrimination with the same labor and cost as the PCR method. We compared the results of our new method with the results of the conventional Sanger method for 38 canine urine sediment samples, and the results of 34 samples were consistent between both methods. The remaining four results were all determined to be negative by the Sanger method and positive by our new method. For these four samples, the ratio of the mutated gene to the wild-type gene was estimated using a third-generation sequencer, and the ratio of the mutated gene was 0.1%-1.4%. We postulate that the Sanger method gave a negative result because of the low abundance of the mutated gene in these samples, proving the high sensitivity of our new method.
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Affiliation(s)
- Shiro Okumura
- Biotechnology and Food Research Institute, Fukuoka Industrial Technology Center, Kurume, Fukuoka, Japan
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12
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Urban L, Perlas A, Francino O, Martí‐Carreras J, Muga BA, Mwangi JW, Boykin Okalebo L, Stanton JL, Black A, Waipara N, Fontsere C, Eccles D, Urel H, Reska T, Morales HE, Palmada‐Flores M, Marques‐Bonet T, Watsa M, Libke Z, Erkenswick G, van Oosterhout C. Real-time genomics for One Health. Mol Syst Biol 2023; 19:e11686. [PMID: 37325891 PMCID: PMC10407731 DOI: 10.15252/msb.202311686] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/31/2023] [Accepted: 06/02/2023] [Indexed: 06/17/2023] Open
Abstract
The ongoing degradation of natural systems and other environmental changes has put our society at a crossroad with respect to our future relationship with our planet. While the concept of One Health describes how human health is inextricably linked with environmental health, many of these complex interdependencies are still not well-understood. Here, we describe how the advent of real-time genomic analyses can benefit One Health and how it can enable timely, in-depth ecosystem health assessments. We introduce nanopore sequencing as the only disruptive technology that currently allows for real-time genomic analyses and that is already being used worldwide to improve the accessibility and versatility of genomic sequencing. We showcase real-time genomic studies on zoonotic disease, food security, environmental microbiome, emerging pathogens, and their antimicrobial resistances, and on environmental health itself - from genomic resource creation for wildlife conservation to the monitoring of biodiversity, invasive species, and wildlife trafficking. We stress why equitable access to real-time genomics in the context of One Health will be paramount and discuss related practical, legal, and ethical limitations.
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Affiliation(s)
- Lara Urban
- Helmholtz AI, Helmholtz Zentrum MuenchenNeuherbergGermany
- Helmholtz Pioneer Campus, Helmholtz Zentrum MuenchenNeuherbergGermany
- School of Life Sciences, Technical University of MunichFreisingGermany
| | - Albert Perlas
- Helmholtz AI, Helmholtz Zentrum MuenchenNeuherbergGermany
- Helmholtz Pioneer Campus, Helmholtz Zentrum MuenchenNeuherbergGermany
| | - Olga Francino
- Nano1Health SL, Parc de Recerca UABCampus Universitat Autònoma de BarcelonaBarcelonaSpain
| | - Joan Martí‐Carreras
- Nano1Health SL, Parc de Recerca UABCampus Universitat Autònoma de BarcelonaBarcelonaSpain
| | - Brenda A Muga
- Department of AnatomyUniversity of OtagoDunedinNew Zealand
| | | | | | | | - Amanda Black
- Bioprotection AotearoaLincoln UniversityLincolnNew Zealand
| | | | - Claudia Fontsere
- Center for Evolutionary HologenomicsThe Globe Institute, University of CopenhagenCopenhagenDenmark
| | - David Eccles
- Hugh Green Cytometry CentreMalaghan Institute of Medical ResearchWellingtonNew Zealand
| | - Harika Urel
- Helmholtz AI, Helmholtz Zentrum MuenchenNeuherbergGermany
- Helmholtz Pioneer Campus, Helmholtz Zentrum MuenchenNeuherbergGermany
- School of Life Sciences, Technical University of MunichFreisingGermany
| | - Tim Reska
- Helmholtz AI, Helmholtz Zentrum MuenchenNeuherbergGermany
- Helmholtz Pioneer Campus, Helmholtz Zentrum MuenchenNeuherbergGermany
- School of Life Sciences, Technical University of MunichFreisingGermany
| | - Hernán E Morales
- Center for Evolutionary HologenomicsThe Globe Institute, University of CopenhagenCopenhagenDenmark
- Department of Biology, Ecology BuildingLund UniversityLundSweden
| | - Marc Palmada‐Flores
- Institute of Evolutionary BiologyUniversitat Pompeu Fabra‐CSIC, PRBBBarcelonaSpain
| | - Tomas Marques‐Bonet
- Institute of Evolutionary BiologyUniversitat Pompeu Fabra‐CSIC, PRBBBarcelonaSpain
- Catalan Institution of Research and Advanced Studies (ICREA)BarcelonaSpain
- CNAGCentre of Genomic AnalysisBarcelonaSpain
- Institut Català de Paleontologia Miquel CrusafontUniversitat Autònoma de BarcelonaBarcelonaSpain
| | | | - Zane Libke
- Instituto Nacional de BiodiversidadQuitoEcuador
- Fundación Sumak Kawsay In SituCantón MeraEcuador
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13
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Insight into molecular diagnosis for antimalarial drug resistance of Plasmodium falciparum parasites: A review. Acta Trop 2023; 241:106870. [PMID: 36849091 DOI: 10.1016/j.actatropica.2023.106870] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 02/20/2023] [Accepted: 02/22/2023] [Indexed: 02/27/2023]
Abstract
Malaria is an infectious disease transmitted by the female Anopheles mosquito and poses a severe threat to human health. At present, antimalarial drugs are the primary treatment for malaria. The widespread use of artemisinin-based combination therapies (ACTs) has dramatically reduced the number of malaria-related deaths; however, the emergence of resistance has the potential to reverse this progress. Accurate and timely diagnosis of drug-resistant strains of Plasmodium parasites via detecting molecular markers (such as Pfnhe1, Pfmrp, Pfcrt, Pfmdr1, Pfdhps, Pfdhfr, and Pfk13) is essential for malaria control and elimination. Here, we review the current techniques which commonly used for molecular diagnosis of antimalarial resistance in P. falciparum and discuss their sensitivities and specificities for different drug resistance-associated molecular markers, with the aim of providing insights into possible directions for future precise point-of-care testing (POCT) of antimalarial drug resistance of malaria parasites.
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14
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Akoniyon OP, Adewumi TS, Maharaj L, Oyegoke OO, Roux A, Adeleke MA, Maharaj R, Okpeku M. Whole Genome Sequencing Contributions and Challenges in Disease Reduction Focused on Malaria. BIOLOGY 2022; 11:587. [PMID: 35453786 PMCID: PMC9027812 DOI: 10.3390/biology11040587] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 03/31/2022] [Accepted: 04/01/2022] [Indexed: 12/11/2022]
Abstract
Malaria elimination remains an important goal that requires the adoption of sophisticated science and management strategies in the era of the COVID-19 pandemic. The advent of next generation sequencing (NGS) is making whole genome sequencing (WGS) a standard today in the field of life sciences, as PCR genotyping and targeted sequencing provide insufficient information compared to the whole genome. Thus, adapting WGS approaches to malaria parasites is pertinent to studying the epidemiology of the disease, as different regions are at different phases in their malaria elimination agenda. Therefore, this review highlights the applications of WGS in disease management, challenges of WGS in controlling malaria parasites, and in furtherance, provides the roles of WGS in pursuit of malaria reduction and elimination. WGS has invaluable impacts in malaria research and has helped countries to reach elimination phase rapidly by providing required information needed to thwart transmission, pathology, and drug resistance. However, to eliminate malaria in sub-Saharan Africa (SSA), with high malaria transmission, we recommend that WGS machines should be readily available and affordable in the region.
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Affiliation(s)
- Olusegun Philip Akoniyon
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4041, South Africa; (O.P.A.); (T.S.A.); (L.M.); (O.O.O.); (A.R.); (M.A.A.)
| | - Taiye Samson Adewumi
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4041, South Africa; (O.P.A.); (T.S.A.); (L.M.); (O.O.O.); (A.R.); (M.A.A.)
| | - Leah Maharaj
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4041, South Africa; (O.P.A.); (T.S.A.); (L.M.); (O.O.O.); (A.R.); (M.A.A.)
| | - Olukunle Olugbenle Oyegoke
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4041, South Africa; (O.P.A.); (T.S.A.); (L.M.); (O.O.O.); (A.R.); (M.A.A.)
| | - Alexandra Roux
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4041, South Africa; (O.P.A.); (T.S.A.); (L.M.); (O.O.O.); (A.R.); (M.A.A.)
| | - Matthew A. Adeleke
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4041, South Africa; (O.P.A.); (T.S.A.); (L.M.); (O.O.O.); (A.R.); (M.A.A.)
| | - Rajendra Maharaj
- Office of Malaria Research, South African Medical Research Council, Cape Town 7505, South Africa;
| | - Moses Okpeku
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4041, South Africa; (O.P.A.); (T.S.A.); (L.M.); (O.O.O.); (A.R.); (M.A.A.)
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15
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Li Y, Jiao M, Liu Y, Ren Z, Li A. Application of Metagenomic Next-Generation Sequencing in Mycobacterium tuberculosis Infection. Front Med (Lausanne) 2022; 9:802719. [PMID: 35433724 PMCID: PMC9010669 DOI: 10.3389/fmed.2022.802719] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
The fight against Mycobacterium tuberculosis (MTB) has been going on for thousands of years, while it still poses a threat to human health. In addition to routine detections, metagenomic next-generation sequencing (mNGS) has begun to show presence as a comprehensive and hypothesis-free test. It can not only detect MTB without isolating specific pathogens but also suggest the co-infection pathogens or underlying tumor simultaneously, which is of benefit to assist in comprehensive clinical diagnosis. It also shows the potential to detect multiple drug resistance sites for precise treatment. However, considering the cost performance compared with conventional assays (especially Xpert MTB/RIF), mNGS seems to be overqualified for patients with mild and typical symptoms. Technology optimization of sequencing and analyzing should be conducted to improve the positive rate and broaden the applicable fields.
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Affiliation(s)
- Yaoguang Li
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Mengfan Jiao
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ying Liu
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhigang Ren
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Zhigang Ren,
| | - Ang Li
- Gene Hospital of Henan Province, Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Ang Li,
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16
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Mkandawire TT, Sateriale A. The Long and Short of Next Generation Sequencing for Cryptosporidium Research. Front Cell Infect Microbiol 2022; 12:871860. [PMID: 35419299 PMCID: PMC8995782 DOI: 10.3389/fcimb.2022.871860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 03/04/2022] [Indexed: 11/13/2022] Open
Abstract
The intestinal parasite Cryptosporidium is a significant cause of severe diarrhoeal disease that can have long term effects. Therapeutic options remain limited despite a significant impact on public health, partly due to various challenges in the field of Cryptosporidium research, including the availability of genomic and transcriptomic data from environmental and clinical isolates. In this review we explore how long read DNA and RNA sequencing technologies have begun to provide novel insights into the biology of the parasite. The increased deployment of these technologies will help researchers address key gaps in the understanding of Cryptosporidium biology, and ultimately drive translational research and better parasite control.
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17
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Chahine Z, Le Roch KG. Decrypting the complexity of the human malaria parasite biology through systems biology approaches. FRONTIERS IN SYSTEMS BIOLOGY 2022; 2:940321. [PMID: 37200864 PMCID: PMC10191146 DOI: 10.3389/fsysb.2022.940321] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
The human malaria parasite, Plasmodium falciparum, is a unicellular protozoan responsible for over half a million deaths annually. With a complex life cycle alternating between human and invertebrate hosts, this apicomplexan is notoriously adept at evading host immune responses and developing resistance to all clinically administered treatments. Advances in omics-based technologies, increased sensitivity of sequencing platforms and enhanced CRISPR based gene editing tools, have given researchers access to more in-depth and untapped information about this enigmatic micro-organism, a feat thought to be infeasible in the past decade. Here we discuss some of the most important scientific achievements made over the past few years with a focus on novel technologies and platforms that set the stage for subsequent discoveries. We also describe some of the systems-based methods applied to uncover gaps of knowledge left through single-omics applications with the hope that we will soon be able to overcome the spread of this life-threatening disease.
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18
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Lamb HJ, Hayes BJ, Randhawa IAS, Nguyen LT, Ross EM. Genomic prediction using low-coverage portable Nanopore sequencing. PLoS One 2021; 16:e0261274. [PMID: 34910782 PMCID: PMC8673642 DOI: 10.1371/journal.pone.0261274] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 11/26/2021] [Indexed: 11/18/2022] Open
Abstract
Most traits in livestock, crops and humans are polygenic, that is, a large number of loci contribute to genetic variation. Effects at these loci lie along a continuum ranging from common low-effect to rare high-effect variants that cumulatively contribute to the overall phenotype. Statistical methods to calculate the effect of these loci have been developed and can be used to predict phenotypes in new individuals. In agriculture, these methods are used to select superior individuals using genomic breeding values; in humans these methods are used to quantitatively measure an individual’s disease risk, termed polygenic risk scores. Both fields typically use SNP array genotypes for the analysis. Recently, genotyping-by-sequencing has become popular, due to lower cost and greater genome coverage (including structural variants). Oxford Nanopore Technologies’ (ONT) portable sequencers have the potential to combine the benefits genotyping-by-sequencing with portability and decreased turn-around time. This introduces the potential for in-house clinical genetic disease risk screening in humans or calculating genomic breeding values on-farm in agriculture. Here we demonstrate the potential of the later by calculating genomic breeding values for four traits in cattle using low-coverage ONT sequence data and comparing these breeding values to breeding values calculated from SNP arrays. At sequencing coverages between 2X and 4X the correlation between ONT breeding values and SNP array-based breeding values was > 0.92 when imputation was used and > 0.88 when no imputation was used. With an average sequencing coverage of 0.5x the correlation between the two methods was between 0.85 and 0.92 using imputation, depending on the trait. This suggests that ONT sequencing has potential for in clinic or on-farm genomic prediction, however, further work to validate these findings in a larger population still remains.
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Affiliation(s)
- Harrison J. Lamb
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
- * E-mail:
| | - Ben J. Hayes
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
| | - Imtiaz A. S. Randhawa
- School of Veterinary Science, The University of Queensland, Brisbane, QLD, Australia
| | - Loan T. Nguyen
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
| | - Elizabeth M. Ross
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
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Ndiaye YD, Hartl DL, McGregor D, Badiane A, Fall FB, Daniels RF, Wirth DF, Ndiaye D, Volkman SK. Genetic surveillance for monitoring the impact of drug use on Plasmodium falciparum populations. Int J Parasitol Drugs Drug Resist 2021; 17:12-22. [PMID: 34333350 PMCID: PMC8342550 DOI: 10.1016/j.ijpddr.2021.07.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 06/24/2021] [Accepted: 07/07/2021] [Indexed: 11/23/2022]
Abstract
The use of antimalarial drugs is an effective strategy in the fight against malaria. However, selection of drug resistant parasites is a constant threat to the continued use of this approach. Antimalarial drugs are used not only to treat infections but also as part of population-level strategies to reduce malaria transmission toward elimination. While there is strong evidence that the ongoing use of antimalarial drugs increases the risk of the emergence and spread of drug-resistant parasites, it is less clear how population-level use of drug-based interventions like seasonal malaria chemoprevention (SMC) or mass drug administration (MDA) may contribute to drug resistance or loss of drug efficacy. Critical to sustained use of drug-based strategies for reducing the burden of malaria is the surveillance of population-level signals related to transmission reduction and resistance selection. Here we focus on Plasmodium falciparum and discuss the genetic signatures of a parasite population that are correlated with changes in transmission and related to drug pressure and resistance as a result of drug use. We review the evidence for MDA and SMC contributing to malaria burden reduction and drug resistance selection and examine the use and impact of these interventions in Senegal. Throughout we consider best strategies for ongoing surveillance of both population and resistance signals in the context of different parasite population parameters. Finally, we propose a roadmap for ongoing surveillance during population-level drug-based interventions to reduce the global malaria burden.
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Affiliation(s)
| | | | - David McGregor
- Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | | | - Fatou Ba Fall
- Programme National de Lutte Contre le Paludisme, Senegal.
| | - Rachel F Daniels
- Harvard T.H. Chan School of Public Health, Boston, MA, USA; The Broad Institute, Cambridge, MA, USA.
| | - Dyann F Wirth
- Harvard T.H. Chan School of Public Health, Boston, MA, USA; The Broad Institute, Cambridge, MA, USA.
| | | | - Sarah K Volkman
- Harvard T.H. Chan School of Public Health, Boston, MA, USA; The Broad Institute, Cambridge, MA, USA; Simmons University, Boston, MA, USA.
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20
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Diagnosing the drug resistance signature in Plasmodium falciparum: a review from contemporary methods to novel approaches. J Parasit Dis 2021; 45:869-876. [PMID: 34475670 DOI: 10.1007/s12639-020-01333-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Accepted: 12/01/2020] [Indexed: 10/22/2022] Open
Abstract
The genome sequence project of the human malaria parasite Plasmodium falciparum reveal variations in the parasite DNA sequence. Most of these variations are single nucleotide polymorphism (SNP). A high frequency of single nucleotide polymorphism (SNP) in the Plasmodium falciparum population is usually a benchmark for anti-malarial resistance which allows parasites to be elusive to the chemotherapeutic agents, vaccine and vector control strategies, resulting in the leading cause of morbidity and mortality globally. The high density of drug resistance signature markers such as pfcrt,pfmdr1, pfdhps, pfdhfr, pfkelch13, pfatpase6 and pfmrp1 in the genome opens up a scope for the study of the genetic basis of this elusive parasite. The precise and prompt diagnosis of resistance strains of parasite plays vital role in malaria elimination program.This review probably shed light on contemporary SNP diagnostic tools used in molecular surveillance of Plasmodium falciparum drug resistance in terms of mechanism, reaction modalities, and development with their virtues and shortcomings.
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21
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Zeng X, Xiang Y, Liu Q, Wang L, Ma Q, Ma W, Zeng D, Yin Y, Wang D. Nanopore Technology for the Application of Protein Detection. NANOMATERIALS (BASEL, SWITZERLAND) 2021; 11:1942. [PMID: 34443773 PMCID: PMC8400292 DOI: 10.3390/nano11081942] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 07/23/2021] [Accepted: 07/27/2021] [Indexed: 01/19/2023]
Abstract
Protein is an important component of all the cells and tissues of the human body and is the material basis of life. Its content, sequence, and spatial structure have a great impact on proteomics and human biology. It can reflect the important information of normal or pathophysiological processes and promote the development of new diagnoses and treatment methods. However, the current techniques of proteomics for protein analysis are limited by chemical modifications, large sample sizes, or cumbersome operations. Solving this problem requires overcoming huge challenges. Nanopore single molecule detection technology overcomes this shortcoming. As a new sensing technology, it has the advantages of no labeling, high sensitivity, fast detection speed, real-time monitoring, and simple operation. It is widely used in gene sequencing, detection of peptides and proteins, markers and microorganisms, and other biomolecules and metal ions. Therefore, based on the advantages of novel nanopore single-molecule detection technology, its application to protein sequence detection and structure recognition has also been proposed and developed. In this paper, the application of nanopore single-molecule detection technology in protein detection in recent years is reviewed, and its development prospect is investigated.
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Affiliation(s)
- Xiaoqing Zeng
- Chongqing University, 174 Shazheng Street, Shapingba District, Chongqing 400044, China; (X.Z.); (Y.X.); (W.M.)
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; (Q.L.); (L.W.); (Q.M.); (D.Z.)
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Yang Xiang
- Chongqing University, 174 Shazheng Street, Shapingba District, Chongqing 400044, China; (X.Z.); (Y.X.); (W.M.)
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; (Q.L.); (L.W.); (Q.M.); (D.Z.)
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Qianshan Liu
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; (Q.L.); (L.W.); (Q.M.); (D.Z.)
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Liang Wang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; (Q.L.); (L.W.); (Q.M.); (D.Z.)
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Qianyun Ma
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; (Q.L.); (L.W.); (Q.M.); (D.Z.)
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, China
| | - Wenhao Ma
- Chongqing University, 174 Shazheng Street, Shapingba District, Chongqing 400044, China; (X.Z.); (Y.X.); (W.M.)
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; (Q.L.); (L.W.); (Q.M.); (D.Z.)
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Delin Zeng
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; (Q.L.); (L.W.); (Q.M.); (D.Z.)
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
- School of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
| | - Yajie Yin
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; (Q.L.); (L.W.); (Q.M.); (D.Z.)
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Deqiang Wang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; (Q.L.); (L.W.); (Q.M.); (D.Z.)
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
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22
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Slater L, Betson M, Ashraf S, Sargison N, Chaudhry U. Current methods for the detection of antimalarial drug resistance in Plasmodium parasites infecting humans. Acta Trop 2021; 216:105828. [PMID: 33465353 DOI: 10.1016/j.actatropica.2021.105828] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 01/08/2021] [Accepted: 01/10/2021] [Indexed: 12/19/2022]
Abstract
Malaria is the world's deadliest parasitic disease. Great progress has been made in the fight against malaria over the past two decades, but this has recently begun to plateau, in part due to the global development of antimalarial drug resistance. The ability to track drug resistance is necessary to achieve progress in treatment, disease surveillance and epidemiology, which has prompted the development of advanced diagnostic methods. These new methods provide unprecedented access to information that can help to guide public health policies. Development of new technologies increases the potential for high throughput and reduced costs of diagnostic tests; improving the accessibility of tools to investigate the forces driving disease dynamics and, ultimately, clinical outcomes for malaria patients and public health. This literature review provides a summary of the methods currently available for the detection of antimalarial drug resistance from the examination of patients' blood samples. While no single method is perfect for every application, many of the newly developed methods give promise for more reliable and efficient characterisation of Plasmodium resistance in a range of settings. By exploiting the strengths of the tools available, we can develop a deeper understanding of the evolutionary and spatiotemporal dynamics of this disease. This will translate into more effective disease control, better-informed policy, and more timely and successful treatment for malaria patients.
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Direct Nanopore Sequencing of mRNA Reveals Landscape of Transcript Isoforms in Apicomplexan Parasites. mSystems 2021; 6:6/2/e01081-20. [PMID: 33688018 PMCID: PMC8561664 DOI: 10.1128/msystems.01081-20] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Alternative splicing is a widespread phenomenon in metazoans by which single genes are able to produce multiple isoforms of the gene product. However, this has been poorly characterized in apicomplexans, a major phylum of some of the most important global parasites. Efforts have been hampered by atypical transcriptomic features, such as the high AU content of Plasmodium RNA, but also the limitations of short-read sequencing in deciphering complex splicing events. In this study, we utilized the long read direct RNA sequencing platform developed by Oxford Nanopore Technologies to survey the alternative splicing landscape of Toxoplasma gondii and Plasmodium falciparum. We find that while native RNA sequencing has a reduced throughput, it allows us to obtain full-length or nearly full-length transcripts with comparable quantification to Illumina sequencing. By comparing these data with available gene models, we find widespread alternative splicing, particularly intron retention, in these parasites. Most of these transcripts contain premature stop codons, suggesting that in these parasites, alternative splicing represents a pathway to transcriptomic diversity, rather than expanding proteomic diversity. Moreover, alternative splicing rates are comparable between parasites, suggesting a shared splicing machinery, despite notable transcriptomic differences between the parasites. This study highlights a strategy in using long-read sequencing to understand splicing events at the whole-transcript level and has implications in the future interpretation of transcriptome sequencing studies. IMPORTANCE We have used a novel nanopore sequencing technology to directly analyze parasite transcriptomes. The very long reads of this technology reveal the full-length genes of the parasites that cause malaria and toxoplasmosis. Gene transcripts must be processed in a process called splicing before they can be translated to protein. Our analysis reveals that these parasites very frequently only partially process their gene products, in a manner that departs dramatically from their human hosts.
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24
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Li N, Cai Q, Miao Q, Song Z, Fang Y, Hu B. High-Throughput Metagenomics for Identification of Pathogens in the Clinical Settings. SMALL METHODS 2021; 5:2000792. [PMID: 33614906 PMCID: PMC7883231 DOI: 10.1002/smtd.202000792] [Citation(s) in RCA: 100] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 10/24/2020] [Indexed: 05/25/2023]
Abstract
The application of sequencing technology is shifting from research to clinical laboratories owing to rapid technological developments and substantially reduced costs. However, although thousands of microorganisms are known to infect humans, identification of the etiological agents for many diseases remains challenging as only a small proportion of pathogens are identifiable by the current diagnostic methods. These challenges are compounded by the emergence of new pathogens. Hence, metagenomic next-generation sequencing (mNGS), an agnostic, unbiased, and comprehensive method for detection, and taxonomic characterization of microorganisms, has become an attractive strategy. Although many studies, and cases reports, have confirmed the success of mNGS in improving the diagnosis, treatment, and tracking of infectious diseases, several hurdles must still be overcome. It is, therefore, imperative that practitioners and clinicians understand both the benefits and limitations of mNGS when applying it to clinical practice. Interestingly, the emerging third-generation sequencing technologies may partially offset the disadvantages of mNGS. In this review, mainly: a) the history of sequencing technology; b) various NGS technologies, common platforms, and workflows for clinical applications; c) the application of NGS in pathogen identification; d) the global expert consensus on NGS-related methods in clinical applications; and e) challenges associated with diagnostic metagenomics are described.
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Affiliation(s)
- Na Li
- Department of Infectious DiseasesZhongshan HospitalFudan UniversityShanghai200032China
| | - Qingqing Cai
- Genoxor Medical Science and Technology Inc.Zhejiang317317China
| | - Qing Miao
- Department of Infectious DiseasesZhongshan HospitalFudan UniversityShanghai200032China
| | - Zeshi Song
- Genoxor Medical Science and Technology Inc.Zhejiang317317China
| | - Yuan Fang
- Genoxor Medical Science and Technology Inc.Zhejiang317317China
| | - Bijie Hu
- Department of Infectious DiseasesZhongshan HospitalFudan UniversityShanghai200032China
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25
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Maloney JG, Molokin A, Santin M. Use of Oxford Nanopore MinION to generate full-length sequences of the Blastocystis small subunit (SSU) rRNA gene. Parasit Vectors 2020; 13:595. [PMID: 33239096 PMCID: PMC7687777 DOI: 10.1186/s13071-020-04484-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 11/12/2020] [Indexed: 02/08/2023] Open
Abstract
Background Blastocystis sp. is one of the most common enteric parasites of humans and animals worldwide. It is well recognized that this ubiquitous protist displays a remarkable degree of genetic diversity in the SSU rRNA gene, which is currently the main gene used for defining Blastocystis subtypes. Yet, full-length reference sequences of this gene are available for only 16 subtypes of Blastocystis in part because of the technical difficulties associated with obtaining these sequences from complex samples. Methods We have developed a method using Oxford Nanopore MinION long-read sequencing and universal eukaryotic primers to produce full-length (> 1800 bp) SSU rRNA gene sequences for Blastocystis. Seven Blastocystis specimens representing five subtypes (ST1, ST4, ST10, ST11, and ST14) obtained both from cultures and feces were used for validation. Results We demonstrate that this method can be used to produce highly accurate full-length sequences from both cultured and fecal DNA isolates. Full-length sequences were successfully obtained from all five subtypes including ST11 for which no full-length reference sequence currently exists and for an isolate that contained mixed ST10/ST14. Conclusions The suitability of the use of MinION long-read sequencing technology to successfully generate full-length Blastocystis SSU rRNA gene sequences was demonstrated. The ability to produce full-length SSU rRNA gene sequences is key in understanding the role of genetic diversity in important aspects of Blastocystis biology such as transmission, host specificity, and pathogenicity.![]()
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Affiliation(s)
- Jenny G Maloney
- Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD, USA
| | - Aleksey Molokin
- Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD, USA
| | - Monica Santin
- Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD, USA.
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26
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Mongan AE, Tuda JSB, Runtuwene LR. Portable sequencer in the fight against infectious disease. J Hum Genet 2020; 65:35-40. [PMID: 31582773 PMCID: PMC6892364 DOI: 10.1038/s10038-019-0675-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 09/11/2019] [Accepted: 09/13/2019] [Indexed: 12/22/2022]
Abstract
Infectious disease is still a major threat in the world today. Five decades ago, it was considered soon to be eradicated, but the adaptation of pathogens to environmental pressure, such as antimicrobials, encouraged the emergence and reemergence of infectious disease. The fight with infectious disease starts with prevention, diagnosis, and treatment. Diagnosis can be upheld by observing the cause of disease under the microscope or detecting the presence of nucleic acid and proteins of the pathogens. The molecular techniques span from classical polymerase chain reaction (PCR) to sequencing the nucleic acid composition. Here, we are reviewing the works have been undertaken to utilize a portable sequencer, MinION, in various aspects of infectious disease management.
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27
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Calarco L, Barratt J, Ellis J. Detecting sequence variants in clinically important protozoan parasites. Int J Parasitol 2019; 50:1-18. [PMID: 31857072 DOI: 10.1016/j.ijpara.2019.10.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 09/29/2019] [Accepted: 10/01/2019] [Indexed: 02/06/2023]
Abstract
Second and third generation sequencing methods are crucial for population genetic studies, and variant detection is a popular approach for exploiting this sequence data. While mini- and microsatellites are historically useful markers for studying important Protozoa such as Toxoplasma and Plasmodium spp., detecting non-repetitive variants such as those found in genes can be fundamental to investigating a pathogen's biology. These variants, namely single nucleotide polymorphisms and insertions and deletions, can help elucidate the genetic basis of an organism's pathogenicity, identify selective pressures, and resolve phylogenetic relationships. They also have the added benefit of possessing a comparatively low mutation rate, which contributes to their stability. However, there is a plethora of variant analysis tools with nuanced pipelines and conflicting recommendations for best practise, which can be confounding. This lack of standardisation means that variant analysis requires careful parameter optimisation, an understanding of its limitations, and the availability of high quality data. This review explores the value of variant detection when applied to non-model organisms such as clinically important protozoan pathogens. The limitations of current methods are discussed, including special considerations that require the end-users' attention to ensure that the results generated are reproducible, and the biological conclusions drawn are valid.
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Affiliation(s)
- Larissa Calarco
- School of Life Sciences, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia.
| | - Joel Barratt
- School of Life Sciences, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia
| | - John Ellis
- School of Life Sciences, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia
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28
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Nsanzabana C. Strengthening Surveillance Systems for Malaria Elimination by Integrating Molecular and Genomic Data. Trop Med Infect Dis 2019; 4:E139. [PMID: 31816974 PMCID: PMC6958499 DOI: 10.3390/tropicalmed4040139] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 11/05/2019] [Accepted: 11/28/2019] [Indexed: 12/20/2022] Open
Abstract
Unprecedented efforts in malaria control over the last 15 years have led to a substantial decrease in both morbidity and mortality in most endemic settings. However, these progresses have stalled over recent years, and resurgence may cause dramatic impact on both morbidity and mortality. Nevertheless, elimination efforts are currently going on with the objective of reducing malaria morbidity and mortality by 90% and malaria elimination in at least 35 countries by 2030. Strengthening surveillance systems is of paramount importance to reach those targets, and the integration of molecular and genomic techniques into routine surveillance could substantially improve the quality and robustness of data. Techniques such as polymerase chain reaction (PCR) and quantitative PCR (qPCR) are increasingly available in malaria endemic countries, whereas others such as sequencing are already available in a few laboratories. However, sequencing, especially next-generation sequencing (NGS), requires sophisticated infrastructure with adequate computing power and highly trained personnel for data analysis that require substantial investment. Different techniques will be required for different applications, and cost-effective planning must ensure the appropriate use of available resources. The development of national and sub-regional reference laboratories could help in minimizing the resources required in terms of equipment and trained staff. Concerted efforts from different stakeholders at national, sub-regional, and global level are needed to develop the required framework to establish and maintain these reference laboratories.
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Affiliation(s)
- Christian Nsanzabana
- Department of Medicine, Swiss Tropical and Public Health Institute, 4051 Basel, Switzerland; ; Tel.: +41-61-284-82-52
- University of Basel, P.O. Box, CH-4003 Basel, Switzerland
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29
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Sevim V, Lee J, Egan R, Clum A, Hundley H, Lee J, Everroad RC, Detweiler AM, Bebout BM, Pett-Ridge J, Göker M, Murray AE, Lindemann SR, Klenk HP, O'Malley R, Zane M, Cheng JF, Copeland A, Daum C, Singer E, Woyke T. Shotgun metagenome data of a defined mock community using Oxford Nanopore, PacBio and Illumina technologies. Sci Data 2019; 6:285. [PMID: 31772173 PMCID: PMC6879543 DOI: 10.1038/s41597-019-0287-z] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Accepted: 10/31/2019] [Indexed: 11/17/2022] Open
Abstract
Metagenomic sequence data from defined mock communities is crucial for the assessment of sequencing platform performance and downstream analyses, including assembly, binning and taxonomic assignment. We report a comparison of shotgun metagenome sequencing and assembly metrics of a defined microbial mock community using the Oxford Nanopore Technologies (ONT) MinION, PacBio and Illumina sequencing platforms. Our synthetic microbial community BMock12 consists of 12 bacterial strains with genome sizes spanning 3.2–7.2 Mbp, 40–73% GC content, and 1.5–7.3% repeats. Size selection of both PacBio and ONT sequencing libraries prior to sequencing was essential to yield comparable relative abundances of organisms among all sequencing technologies. While the Illumina-based metagenome assembly yielded good coverage with few misassemblies, contiguity was greatly improved by both, Illumina + ONT and Illumina + PacBio hybrid assemblies but increased misassemblies, most notably in genomes with high sequence similarity to each other. Our resulting datasets allow evaluation and benchmarking of bioinformatics software on Illumina, PacBio and ONT platforms in parallel. Measurement(s) | metagenomic data • sequence_assembly | Technology Type(s) | ONT MinION • Illumina sequencing • PacBio RS II | Factor Type(s) | sequencing platform | Sample Characteristic - Organism | Bacteria | Sample Characteristic - Environment | mock community |
Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.10260740
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Affiliation(s)
- Volkan Sevim
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Juna Lee
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Robert Egan
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Alicia Clum
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Hope Hundley
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Janey Lee
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - R Craig Everroad
- NASA Ames Research Center, Exobiology Branch, Moffett Field, CA, 94035, USA
| | - Angela M Detweiler
- NASA Ames Research Center, Exobiology Branch, Moffett Field, CA, 94035, USA.,Bay Area Environmental Research Institute, Moffett Field, CA, 94035, USA
| | - Brad M Bebout
- NASA Ames Research Center, Exobiology Branch, Moffett Field, CA, 94035, USA
| | - Jennifer Pett-Ridge
- Lawrence Livermore National Laboratory, Nuclear and Chemical Science Division, 7000 East Ave, Livermore, CA, 94550-9234, USA
| | - Markus Göker
- Leibniz-Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH, Inhoffenstraße 7B, 38124, Braunschweig, Germany
| | - Alison E Murray
- Desert Research Institute, Division of Earth and Ecosystem Sciences, 2215 Raggio Pkwy, Reno, NV, 89512, USA
| | | | - Hans-Peter Klenk
- Newcastle University, School of Natural and Environmental Sciences, Ridley Building 2, Newcastle upon Tyne, NE1 7RU, UK
| | - Ronan O'Malley
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Matthew Zane
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Jan-Fang Cheng
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Alex Copeland
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Christopher Daum
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA
| | - Esther Singer
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA. .,Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, 94720, USA.
| | - Tanja Woyke
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA, 94598, USA.
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30
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Yu X, Jiang W, Shi Y, Ye H, Lin J. Applications of sequencing technology in clinical microbial infection. J Cell Mol Med 2019; 23:7143-7150. [PMID: 31475453 PMCID: PMC6815769 DOI: 10.1111/jcmm.14624] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 07/25/2019] [Indexed: 12/29/2022] Open
Abstract
Infectious diseases are a type of disease caused by pathogenic microorganisms. Although the discovery of antibiotics changed the treatment of infectious diseases and reduced the mortality of bacterial infections, resistant bacterial strains have emerged. Anti‐infective therapy based on aetiological evidence is the gold standard for clinical treatment, but the time lag and low positive culture rate of traditional methods of pathogen diagnosis leads to relative difficulty in obtaining the evidence of pathogens. Compared with traditional methods of pathogenic diagnosis, next‐generation and third‐generation sequencing technologies have many advantages in the detection of pathogenic microorganisms. In this review, we mainly introduce recent progress in research on pathogenic diagnostic technology and the applications of sequencing technology in the diagnosis of pathogenic microorganisms. This review provides new insights into the application of sequencing technology in the clinical diagnosis of microorganisms.
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Affiliation(s)
- Xiaoling Yu
- Department of Infectious Diseases, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
| | - Wenqian Jiang
- Department of Infectious Diseases, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
| | - Yang Shi
- Institute of Apply Genomics, Fuzhou University, Fuzhou, China
| | - Hanhui Ye
- Department of Infectious Diseases, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
| | - Jun Lin
- Institute of Apply Genomics, Fuzhou University, Fuzhou, China.,School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.,Fujian Key Laboratory of Marine Enzyme Engineering, Fuzhou University, Fuzhou, China
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31
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Rapid diagnosis of bacterial meningitis by nanopore 16S amplicon sequencing: A pilot study. Int J Med Microbiol 2019; 309:151338. [PMID: 31444101 DOI: 10.1016/j.ijmm.2019.151338] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 06/20/2019] [Accepted: 08/10/2019] [Indexed: 12/13/2022] Open
Abstract
Early administration of antibiotics is crucial in the management of bacterial meningitis. Rapid pathogen identification helps to make a definite diagnosis of bacterial meningitis and enables tailored antibiotic treatment. We investigated if the 16S amplicon sequencing performed by MinION, a nanopore sequencer, was capable of rapid pathogen identification in bacterial meningitis. Six retrospective cases of confirmed bacterial meningitis and two prospective cases were included. The initial cerebrospinal fluid (CSF) samples of these patients were used for the experiments. DNA was extracted from the CSF, and PCR was performed on the 16S ribosomal DNA (16S rDNA). Sequencing libraries were prepared using the PCR products, and MinION sequencing was performed for up to 3 h. The reads were aligned to the bacterial database, and the results were compared to the conventional culture studies. Pathogenic bacteria were successfully detected from the CSF by 16S sequencing in all retrospective cases. 16S amplicon sequencing was more sensitive than conventional diagnostic tests and worked properly even in antibiotics-treated samples. MinION sequencing significantly reduced the turnaround time, and even 10 min of sequencing was sufficient for pathogen detection in certain cases. Protocol adjustment could further increase the sensitivity and reduce the turnaround time for MinION sequencing. Finally, the prospective application of MinION 16S sequencing was successful. Nanopore 16S amplicon sequencing is capable of rapid bacterial identification from the CSF of the bacterial meningitis patients. It may have many advantages over conventional diagnostic tests and should therefore be applied in a larger number of patients in the future.
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32
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Apinjoh TO, Ouattara A, Titanji VPK, Djimde A, Amambua-Ngwa A. Genetic diversity and drug resistance surveillance of Plasmodium falciparum for malaria elimination: is there an ideal tool for resource-limited sub-Saharan Africa? Malar J 2019; 18:217. [PMID: 31242921 PMCID: PMC6595576 DOI: 10.1186/s12936-019-2844-5] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Accepted: 06/18/2019] [Indexed: 12/20/2022] Open
Abstract
The intensification of malaria control interventions has resulted in its global decline, but it remains a significant public health burden especially in sub-Saharan Africa (sSA). Knowledge on the parasite diversity, its transmission dynamics, mechanisms of adaptation to environmental and interventional pressures could help refine or develop new control and elimination strategies. Critical to this is the accurate assessment of the parasite’s genetic diversity and monitoring of genetic markers of anti-malarial resistance across all susceptible populations. Such wide molecular surveillance will require selected tools and approaches from a variety of ever evolving advancements in technology and the changing epidemiology of malaria. The choice of an effective approach for specific endemic settings remains challenging, particularly for countries in sSA with limited access to advanced technologies. This article examines the current strategies and tools for Plasmodium falciparum genetic diversity typing and resistance monitoring and proposes how the different tools could be employed in resource-poor settings. Advanced approaches enabling targeted deep sequencing is valued as a sensitive method for assessing drug resistance and parasite diversity but remains out of the reach of most laboratories in sSA due to the high cost of development and maintenance. It is, however, feasible to equip a limited number of laboratories as Centres of Excellence in Africa (CEA), which will receive and process samples from a network of peripheral laboratories in the continent. Cheaper, sensitive and portable real-time PCR methods can be used in peripheral laboratories to pre-screen and select samples for targeted deep sequence or genome wide analyses at these CEAs.
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Affiliation(s)
- Tobias O Apinjoh
- Department of Biochemistry and Molecular Biology, University of Buea, Buea, Cameroon
| | - Amed Ouattara
- School of Medicine, University of Maryland, College Park, Baltimore, USA
| | - Vincent P K Titanji
- Faculty of Science, Engineering and Technology, Cameroon Christian University, Bali, Cameroon
| | - Abdoulaye Djimde
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
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33
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Kono N, Arakawa K. Nanopore sequencing: Review of potential applications in functional genomics. Dev Growth Differ 2019; 61:316-326. [DOI: 10.1111/dgd.12608] [Citation(s) in RCA: 164] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 03/26/2019] [Accepted: 03/26/2019] [Indexed: 12/17/2022]
Affiliation(s)
- Nobuaki Kono
- Institute for Advanced Biosciences Keio University Tsuruoka Yamagata Japan
| | - Kazuharu Arakawa
- Institute for Advanced Biosciences Keio University Tsuruoka Yamagata Japan
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34
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Su M, Satola SW, Read TD. Genome-Based Prediction of Bacterial Antibiotic Resistance. J Clin Microbiol 2019; 57:e01405-18. [PMID: 30381421 PMCID: PMC6425178 DOI: 10.1128/jcm.01405-18] [Citation(s) in RCA: 180] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 10/23/2018] [Indexed: 01/02/2023] Open
Abstract
Clinical microbiology has long relied on growing bacteria in culture to determine antimicrobial susceptibility profiles, but the use of whole-genome sequencing for antibiotic susceptibility testing (WGS-AST) is now a powerful alternative. This review discusses the technologies that made this possible and presents results from recent studies to predict resistance based on genome sequences. We examine differences between calling antibiotic resistance profiles by the simple presence or absence of previously known genes and single-nucleotide polymorphisms (SNPs) against approaches that deploy machine learning and statistical models. Often, the limitations to genome-based prediction arise from limitations of accuracy of culture-based AST in addition to an incomplete knowledge of the genetic basis of resistance. However, we need to maintain phenotypic testing even as genome-based prediction becomes more widespread to ensure that the results do not diverge over time. We argue that standardization of WGS-AST by challenge with consistently phenotyped strain sets of defined genetic diversity is necessary to compare the efficacy of methods of prediction of antibiotic resistance based on genome sequences.
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Affiliation(s)
- Michelle Su
- Department of Infectious Diseases, Emory University, Atlanta, Georgia, USA
- Antimicrobial Resistance and Therapeutic Discovery Training Program, Emory University, Atlanta, Georgia, USA
- Antibiotic Resistance Center, Emory University, Atlanta, Georgia, USA
| | - Sarah W Satola
- Department of Infectious Diseases, Emory University, Atlanta, Georgia, USA
- Antibiotic Resistance Center, Emory University, Atlanta, Georgia, USA
- Emory Investigational Clinical Microbiology Laboratory, Emory University, Atlanta, Georgia, USA
| | - Timothy D Read
- Department of Infectious Diseases, Emory University, Atlanta, Georgia, USA
- Antibiotic Resistance Center, Emory University, Atlanta, Georgia, USA
- Emory Investigational Clinical Microbiology Laboratory, Emory University, Atlanta, Georgia, USA
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35
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Shabardina V, Kischka T, Manske F, Grundmann N, Frith MC, Suzuki Y, Makałowski W. NanoPipe-a web server for nanopore MinION sequencing data analysis. Gigascience 2019; 8:giy169. [PMID: 30689855 PMCID: PMC6377397 DOI: 10.1093/gigascience/giy169] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 12/10/2018] [Accepted: 12/23/2018] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The fast-moving progress of the third-generation long-read sequencing technologies will soon bring the biological and medical sciences to a new era of research. Altogether, the technique and experimental procedures are becoming more straightforward and available to biologists from diverse fields, even without any profound experience in DNA sequencing. Thus, the introduction of the MinION device by Oxford Nanopore Technologies promises to "bring sequencing technology to the masses" and also allows quick and operative analysis in field studies. However, the convenience of this sequencing technology dramatically contrasts with the available analysis tools, which may significantly reduce enthusiasm of a "regular" user. To really bring the sequencing technology to every biologist, we need a set of user-friendly tools that can perform a powerful analysis in an automatic manner. FINDINGS NanoPipe was developed in consideration of the specifics of the MinION sequencing technologies, providing accordingly adjusted alignment parameters. The range of the target species/sequences for the alignment is not limited, and the descriptive usage page of NanoPipe helps a user to succeed with NanoPipe analysis. The results contain alignment statistics, consensus sequence, polymorphisms data, and visualization of the alignment. Several test cases are used to demonstrate the efficiency of the tool. CONCLUSIONS Freely available NanoPipe software allows effortless and reliable analysis of MinION sequencing data for experienced bioinformaticians, as well for wet-lab biologists with minimum bioinformatics knowledge. Moreover, for the latter group, we describe the basic algorithm necessary for MinION sequencing analysis from the first to last step.
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Affiliation(s)
- Victoria Shabardina
- Institue of Bioinformatics, University of Muenster, Niels-Stensen-Strasse 14, Muenster, 48149, Germany
| | - Tabea Kischka
- Institue of Bioinformatics, University of Muenster, Niels-Stensen-Strasse 14, Muenster, 48149, Germany
| | - Felix Manske
- Institue of Bioinformatics, University of Muenster, Niels-Stensen-Strasse 14, Muenster, 48149, Germany
| | - Norbert Grundmann
- Institue of Bioinformatics, University of Muenster, Niels-Stensen-Strasse 14, Muenster, 48149, Germany
| | - Martin C Frith
- Artificial Intelligence Research Center, AIST, 2-3-26, Aomi, Koto-ku, Tokyo, 135-0064, Japan
- Department of Computational Biology and Medical Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8562, Japan
- AIST-Waseda University Computational Bio Big Data Open Innovation Laboratory, 3-4-1 Ookubo, Shinjuku-ku, Tokyo, 169-8555, Japan
| | - Yutaka Suzuki
- Laboratory of Systems Genomics, Department of Computational Biology and Medical Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8562, Japan
| | - Wojciech Makałowski
- Institue of Bioinformatics, University of Muenster, Niels-Stensen-Strasse 14, Muenster, 48149, Germany
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36
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Runtuwene LR, Tuda JSB, Mongan AE, Suzuki Y. On-Site MinION Sequencing. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1129:143-150. [PMID: 30968366 DOI: 10.1007/978-981-13-6037-4_10] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
DNA sequencing has reached an unprecedented level with the advent of Oxford Nanopore Technologies' MinION. The low equipment investment, ease of library preparation, small size, and powered only by a laptop computer enable the portability for on-site sequencing. MinION has had its role in clinical, biosecurity, and environmental fields. Here, we describe the many facets of on-site sequencing with MinION. First, we will present some field works using MinION. We will discuss the requirements for targeted or whole genome sequencing and the challenges faced by each technique. We will also elaborate the bioinformatics procedures available for data analysis in the field. MinION has greatly changed the way we do sequencing by bringing the sequencer closer to the biodiversity. Although numerous limitations exist for MinION to be truly portable, improvements of procedures and equipment will enhance MinION's role in the field.
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Affiliation(s)
- Lucky R Runtuwene
- Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.
| | - Josef S B Tuda
- Faculty of Medicine, Sam Ratulangi University, Manado, Indonesia
| | - Arthur E Mongan
- Faculty of Medicine, Sam Ratulangi University, Manado, Indonesia
| | - Yutaka Suzuki
- Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.
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37
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Okpe O, Ndidi US, Ojowu J, Maifada SR, Etim EE, Awen DA, Ovur CE. GC–MS Profiling and Antimalarial Activity of Khaya grandifoliola on Plasmodium berghei–infected mice. ACTA ACUST UNITED AC 2018. [DOI: 10.1080/10496475.2018.1545719] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Oche Okpe
- Department of Biochemistry, University of Agriculture, Makurdi, Nigeria
| | | | - John Ojowu
- Department of Biochemistry, University of Agriculture, Makurdi, Nigeria
| | | | - Esin Etim Etim
- Department of Biochemistry, University of Agriculture, Makurdi, Nigeria
| | - David Amenger Awen
- Department of Science Education, University of Agriculture, Makurdi, Nigeria
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38
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Imai K, Tamura K, Tanigaki T, Takizawa M, Nakayama E, Taniguchi T, Okamoto M, Nishiyama Y, Tarumoto N, Mitsutake K, Murakami T, Maesaki S, Maeda T. Whole Genome Sequencing of Influenza A and B Viruses With the MinION Sequencer in the Clinical Setting: A Pilot Study. Front Microbiol 2018; 9:2748. [PMID: 30483243 PMCID: PMC6243006 DOI: 10.3389/fmicb.2018.02748] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 10/26/2018] [Indexed: 02/01/2023] Open
Abstract
Introduction: Whole genome sequencing (WGS) of influenza viruses is important for preparing vaccines and coping with newly emerging viruses. However, WGS is difficult to perform using conventional next-generation sequencers in developing countries, where facilities are often inadequate. In this study, we developed a high-throughput WGS method for influenza viruses in clinical specimens with the MinION portable sequencer. Methods: Whole genomes of influenza A and B viruses were amplified by multiplex RT-PCR from 13 clinical specimens collected in Tokyo, Japan. Barcode tags for multiplex MinION sequencing were added with each multiplex RT-PCR amplicon by nested PCR with custom barcoded primers. All barcoded amplicons were mixed and multiplex sequencing using the MinION sequencer with 1D2 sequencing kit. In addition, multiplex RT-PCR amplicons generated from each clinical specimen were sequenced using the Illumina MiSeq platform to validate the performance of MinION sequencer. The accuracy, recall, and precision rates of MinION sequencing were calculated by comparing the results of variant calling in the Illumina MiSeq platform and MinION sequencer. Results: Whole genomes of influenza A and B viruses were successfully amplified by multiplex RT-PCR from 13 clinical samples. We identified 6 samples as influenza type A virus H3N2 subtype and 7 as influenza B virus Yamagata lineage using the Illumina MiSeq platform. The overall accuracy, recall, and precision rates of the MinION sequencer were, respectively 99.95%, 89.41%, and 97.88% from 1D reads and 99.97%, 93.28%, and 99.86% from 1D2 reads. Conclusion: We developed a novel WGS method for influenza A and B viruses. It is necessary to improve read accuracy and analytical tools in order to better utilize the MinION sequencer for real-time monitoring of genetic rearrangements and for evaluation of newly emerging viruses.
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Affiliation(s)
- Kazuo Imai
- Department of Infectious Disease and Infection Control, Saitama Medical University, Saitama, Japan.,Center for Clinical Infectious Diseases and Research, Saitama Medical University, Saitama, Japan.,Department of Infectious Diseases, Self-Defense Forces Central Hospital, Japan Ground Self-Defense Forces, Tokyo, Japan
| | - Kaku Tamura
- Department of Infectious Diseases, Self-Defense Forces Central Hospital, Japan Ground Self-Defense Forces, Tokyo, Japan
| | - Tomomi Tanigaki
- NBC Counter Medical Unit, Japan Ground Self-Defense Forces, Tokyo, Japan
| | - Mari Takizawa
- Camp Asaka Medical Office, Japan Ground Self-Defense Forces, Tokyo, Japan
| | - Eiko Nakayama
- Camp Asaka Medical Office, Japan Ground Self-Defense Forces, Tokyo, Japan
| | - Takahiko Taniguchi
- Camp Asaka Medical Office, Japan Ground Self-Defense Forces, Tokyo, Japan
| | - Misako Okamoto
- Camp Asaka Medical Office, Japan Ground Self-Defense Forces, Tokyo, Japan
| | - Yasumasa Nishiyama
- NBC Counter Medical Unit, Japan Ground Self-Defense Forces, Tokyo, Japan
| | - Norihito Tarumoto
- Department of Infectious Disease and Infection Control, Saitama Medical University, Saitama, Japan.,Center for Clinical Infectious Diseases and Research, Saitama Medical University, Saitama, Japan
| | - Kotaro Mitsutake
- Center for Clinical Infectious Diseases and Research, Saitama Medical University, Saitama, Japan.,Department of Infectious Disease and Infection Control, Saitama Medical University International Medical Center, Saitama, Japan
| | - Takashi Murakami
- Center for Clinical Infectious Diseases and Research, Saitama Medical University, Saitama, Japan.,Department of Microbiology, Saitama Medical University, Saitama, Japan
| | - Shigefumi Maesaki
- Department of Infectious Disease and Infection Control, Saitama Medical University, Saitama, Japan.,Center for Clinical Infectious Diseases and Research, Saitama Medical University, Saitama, Japan
| | - Takuya Maeda
- Center for Clinical Infectious Diseases and Research, Saitama Medical University, Saitama, Japan.,Department of Microbiology, Saitama Medical University, Saitama, Japan
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39
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Molecular assays for antimalarial drug resistance surveillance: A target product profile. PLoS One 2018; 13:e0204347. [PMID: 30235327 PMCID: PMC6147503 DOI: 10.1371/journal.pone.0204347] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 09/05/2018] [Indexed: 11/25/2022] Open
Abstract
Antimalarial drug resistance is a major constraint for malaria control and elimination efforts. Artemisinin-based combination therapy is now the mainstay for malaria treatment. However, delayed parasite clearance following treatment with artemisinin derivatives has now spread in the Greater Mekong Sub region and may emerge or spread to other malaria endemic regions. This spread is of great concern for malaria control programmes, as no alternatives to artemisinin-based combination therapies are expected to be available in the near future. There is a need to strengthen surveillance systems for early detection and response to the antimalarial drug resistance threat. Current surveillance is mainly done through therapeutic efficacy studies; however these studies are complex and both time- and resource-intensive. For multiple common antimalarials, parasite drug resistance has been correlated with specific genetic mutations, and the molecular markers associated with antimalarial drug resistance offer a simple and powerful tool to monitor the emergence and spread of resistant parasites. Different techniques to analyse molecular markers associated with antimalarial drug resistance are available, each with advantages and disadvantages. However, procedures are not adequately harmonized to facilitate comparisons between sites. Here we describe the target product profiles for tests to analyse molecular markers associated with antimalarial drug resistance, discuss how use of current techniques can be standardised, and identify the requirements for an ideal product that would allow malaria endemic countries to provide useful spatial and temporal information on the spread of resistance.
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