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Jouet A, Braet SM, Gaudin C, Bisch G, Vasconcellos S, Epaminondas Nicacio de Oliveira do Livramento RE, Prado Palacios YY, Fontes AB, Lucena N, Rosa P, Moraes M, La K, Badalato N, Lenoir E, Ferré A, Clément M, Hasker E, Grillone SH, Abdou W, Said A, Assoumani Y, Attoumani N, Laurent Y, Cambau E, de Jong BC, Suffys PN, Supply P. Hi-plex deep amplicon sequencing for identification, high-resolution genotyping and multidrug resistance prediction of Mycobacterium leprae directly from patient biopsies by using Deeplex Myc-Lep. EBioMedicine 2023; 93:104649. [PMID: 37327675 DOI: 10.1016/j.ebiom.2023.104649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 05/25/2023] [Accepted: 05/29/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND Expansion of antimicrobial resistance monitoring and epidemiological surveillance are key components of the WHO strategy towards zero leprosy. The inability to grow Mycobacterium leprae in vitro precludes routine phenotypic drug susceptibility testing, and only limited molecular tests are available. We evaluated a culture-free targeted deep sequencing assay, for mycobacterial identification, genotyping based on 18 canonical SNPs and 11 core variable-number tandem-repeat (VNTR) markers, and detection of rifampicin, dapsone and fluoroquinolone resistance-associated mutations in rpoB/ctpC/ctpI, folP1, gyrA/gyrB, respectively, and hypermutation-associated mutations in nth. METHODS The limit of detection (LOD) was determined using DNA of M. leprae reference strains and from 246 skin biopsies and 74 slit skin smears of leprosy patients, with genome copies quantified by RLEP qPCR. Sequencing results were evaluated versus whole genome sequencing (WGS) data of 14 strains, and versus VNTR-fragment length analysis (FLA) results of 89 clinical specimens. FINDINGS The LOD for sequencing success ranged between 80 and 3000 genome copies, depending on the sample type. The LOD for minority variants was 10%. All SNPs detected in targets by WGS were identified except in a clinical sample where WGS revealed two dapsone resistance-conferring mutations instead of one by Deeplex Myc-Lep, due to partial duplication of the sulfamide-binding domain in folP1. SNPs detected uniquely by Deeplex Myc-Lep were missed by WGS due to insufficient coverage. Concordance with VNTR-FLA results was 99.4% (926/932 alleles). INTERPRETATION Deeplex Myc-Lep may help improve the diagnosis and surveillance of leprosy. Gene domain duplication is an original putative drug resistance-related genetic adaptation in M. leprae. FUNDING EDCTP2 programme supported by the European Union (grant number RIA2017NIM-1847 -PEOPLE). EDCTP, R2Stop: Effect:Hope, The Mission To End Leprosy, the Flemish Fonds Wetenschappelijk Onderzoek.
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Affiliation(s)
| | - Sofie Marijke Braet
- Institute of Tropical Medicine, Antwerp, Belgium; Department of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Antwerp, Belgium; Research Foundation Flanders, Brussels, Belgium
| | | | | | - Sidra Vasconcellos
- Laboratório de Biologia Molecular Aplicada a Micobactérias, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil
| | | | - Yrneh Yadamis Prado Palacios
- Laboratório de Biologia Molecular Aplicada a Micobactérias, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil
| | | | | | - Patricia Rosa
- Instituto Lauro de Souza Lima, Bauru, São Paulo, Brazil
| | | | - Kevin La
- APHP-GHU Paris Nord Hôpital Bichat, Service de mycobactériologie spécialisée et de référence, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux - Laboratoire Associé, Paris, France; Université Paris Cité, INSERM, IAME UMR1137, Paris, France
| | | | | | | | | | - Epco Hasker
- Institute of Tropical Medicine, Antwerp, Belgium
| | | | | | | | - Younoussa Assoumani
- Damien Foundation, Comoros; National Tuberculosis and Leprosy Control Program, Moroni, Comoros
| | | | | | - Emmanuelle Cambau
- APHP-GHU Paris Nord Hôpital Bichat, Service de mycobactériologie spécialisée et de référence, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux - Laboratoire Associé, Paris, France; Université Paris Cité, INSERM, IAME UMR1137, Paris, France
| | | | - Philip Noël Suffys
- Laboratório de Biologia Molecular Aplicada a Micobactérias, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil
| | - Philip Supply
- Univ. Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 8204 - CIIL - Center for Infection and Immunity of Lille, F-59000 Lille, France.
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Jouet A, Gaudin C, Badalato N, Allix-Béguec C, Duthoy S, Ferré A, Diels M, Laurent Y, Contreras S, Feuerriegel S, Niemann S, André E, Kaswa MK, Tagliani E, Cabibbe A, Mathys V, Cirillo D, de Jong BC, Rigouts L, Supply P. Deep amplicon sequencing for culture-free prediction of susceptibility or resistance to 13 anti-tuberculous drugs. Eur Respir J 2021; 57:13993003.02338-2020. [PMID: 32943401 PMCID: PMC8174722 DOI: 10.1183/13993003.02338-2020] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 09/03/2020] [Indexed: 02/06/2023]
Abstract
Conventional molecular tests for detecting Mycobacterium tuberculosis complex (MTBC) drug resistance on clinical samples cover a limited set of mutations. Whole-genome sequencing (WGS) typically requires culture. Here, we evaluated the Deeplex Myc-TB targeted deep-sequencing assay for prediction of resistance to 13 anti-tuberculous drugs/drug classes, directly applicable on sputum. With MTBC DNA tests, the limit of detection was 100–1000 genome copies for fixed resistance mutations. Deeplex Myc-TB captured in silico 97.1–99.3% of resistance phenotypes correctly predicted by WGS from 3651 MTBC genomes. On 429 isolates, the assay predicted 92.2% of 2369 first- and second-line phenotypes, with a sensitivity of 95.3% and a specificity of 97.4%. 56 out of 69 (81.2%) residual discrepancies with phenotypic results involved pyrazinamide, ethambutol and ethionamide, and low-level rifampicin or isoniazid resistance mutations, all notoriously prone to phenotypic testing variability. Only two out of 91 (2.2%) resistance phenotypes undetected by Deeplex Myc-TB had known resistance-associated mutations by WGS analysis outside Deeplex Myc-TB targets. Phenotype predictions from Deeplex Myc-TB analysis directly on 109 sputa from a Djibouti survey matched those of MTBSeq/PhyResSE/Mykrobe, fed with WGS data from subsequent cultures, with a sensitivity of 93.5/98.5/93.1% and a specificity of 98.5/97.2/95.3%, respectively. Most residual discordances involved gene deletions/indels and 3–12% heteroresistant calls undetected by WGS analysis or natural pyrazinamide resistance of globally rare “Mycobacterium canettii” strains then unreported by Deeplex Myc-TB. On 1494 arduous sputa from a Democratic Republic of the Congo survey, 14 902 out of 19 422 (76.7%) possible susceptible or resistance phenotypes could be predicted culture-free. Deeplex Myc-TB may enable fast, tailored tuberculosis treatment. The novel Deeplex Myc-TB molecular assay shows a high degree of accuracy for extensive prediction of susceptibility and resistance to 13 anti-tuberculous drugs, directly achievable without culture, which may enable fast, tailored tuberculosis treatmenthttps://bit.ly/3bAvcAt
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Affiliation(s)
- Agathe Jouet
- GenoScreen, Lille, France.,These authors contributed equally to this work
| | - Cyril Gaudin
- GenoScreen, Lille, France.,These authors contributed equally to this work
| | | | | | | | | | - Maren Diels
- BCCM/ITM, Mycobacteria Collection, Institute of Tropical Medicine, Antwerp, Belgium
| | | | | | - Silke Feuerriegel
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.,German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel, Borstel, Germany
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.,German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel, Borstel, Germany
| | - Emmanuel André
- Laboratory of Clinical Bacteriology and Mycology, Dept of Microbiology and Immunology, KU Leuven, Leuven, Belgium
| | - Michel K Kaswa
- National Tuberculosis Program, Kinshasa, Democratic Republic of the Congo
| | - Elisa Tagliani
- Emerging Bacterial Pathogens, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Andrea Cabibbe
- Emerging Bacterial Pathogens, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Vanessa Mathys
- Unit Bacterial Diseases Service, Infectious Diseases in Humans, Sciensano, Brussels, Belgium
| | - Daniela Cirillo
- Emerging Bacterial Pathogens, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Bouke C de Jong
- Mycobacteriology Unit, Dept of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Leen Rigouts
- Mycobacteriology Unit, Dept of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.,Dept of Biomedical Sciences, Antwerp University, Antwerp, Belgium
| | - Philip Supply
- Université de Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, U1019-UMR 8204-CIIL (Center for Infection and Immunity of Lille), Lille, France
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Lin X, Song T, Fairhead S, Witek K, Jouet A, Jupe F, Witek AI, Karki HS, Vleeshouwers VGAA, Hein I, Jones JDG. Identification of Avramr1 from Phytophthora infestans using long read and cDNA pathogen-enrichment sequencing (PenSeq). Mol Plant Pathol 2020; 21:1502-1512. [PMID: 32935441 DOI: 10.1101/2020.05.14.095158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 07/20/2020] [Accepted: 08/06/2020] [Indexed: 05/23/2023]
Abstract
Potato late blight, caused by the oomycete pathogen Phytophthora infestans, significantly hampers potato production. Recently, a new Resistance to Phytophthora infestans (Rpi) gene, Rpi-amr1, was cloned from a wild Solanum species, Solanum americanum. Identification of the corresponding recognized effector (Avirulence or Avr) genes from P. infestans is key to elucidating their naturally occurring sequence variation, which in turn informs the potential durability of the cognate late blight resistance. To identify the P. infestans effector recognized by Rpi-amr1, we screened available RXLR effector libraries and used long read and cDNA pathogen-enrichment sequencing (PenSeq) on four P. infestans isolates to explore the untested effectors. Using single-molecule real-time sequencing (SMRT) and cDNA PenSeq, we identified 47 highly expressed effectors from P. infestans, including PITG_07569, which triggers a highly specific cell death response when transiently coexpressed with Rpi-amr1 in Nicotiana benthamiana, suggesting that PITG_07569 is Avramr1. Here we demonstrate that long read and cDNA PenSeq enables the identification of full-length RXLR effector families and their expression profile. This study has revealed key insights into the evolution and polymorphism of a complex RXLR effector family that is associated with the recognition by Rpi-amr1.
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Affiliation(s)
- Xiao Lin
- The Sainsbury Laboratory, University of East Anglia, Norwich, UK
| | - Tianqiao Song
- The Sainsbury Laboratory, University of East Anglia, Norwich, UK
| | | | - Kamil Witek
- The Sainsbury Laboratory, University of East Anglia, Norwich, UK
| | - Agathe Jouet
- The Sainsbury Laboratory, University of East Anglia, Norwich, UK
| | - Florian Jupe
- The Sainsbury Laboratory, University of East Anglia, Norwich, UK
| | | | - Hari S Karki
- The Sainsbury Laboratory, University of East Anglia, Norwich, UK
| | | | - Ingo Hein
- School of Life Sciences, Division of Plant Sciences, University of Dundee, Dundee, UK
- Cell and Molecular Sciences, The James Hutton Institute, Invergowrie, Dundee, UK
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Lin X, Song T, Fairhead S, Witek K, Jouet A, Jupe F, Witek AI, Karki HS, Vleeshouwers VGAA, Hein I, Jones JDG. Identification of Avramr1 from Phytophthora infestans using long read and cDNA pathogen-enrichment sequencing (PenSeq). Mol Plant Pathol 2020; 21:1502-1512. [PMID: 32935441 PMCID: PMC7548994 DOI: 10.1111/mpp.12987] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 07/20/2020] [Accepted: 08/06/2020] [Indexed: 05/22/2023]
Abstract
Potato late blight, caused by the oomycete pathogen Phytophthora infestans, significantly hampers potato production. Recently, a new Resistance to Phytophthora infestans (Rpi) gene, Rpi-amr1, was cloned from a wild Solanum species, Solanum americanum. Identification of the corresponding recognized effector (Avirulence or Avr) genes from P. infestans is key to elucidating their naturally occurring sequence variation, which in turn informs the potential durability of the cognate late blight resistance. To identify the P. infestans effector recognized by Rpi-amr1, we screened available RXLR effector libraries and used long read and cDNA pathogen-enrichment sequencing (PenSeq) on four P. infestans isolates to explore the untested effectors. Using single-molecule real-time sequencing (SMRT) and cDNA PenSeq, we identified 47 highly expressed effectors from P. infestans, including PITG_07569, which triggers a highly specific cell death response when transiently coexpressed with Rpi-amr1 in Nicotiana benthamiana, suggesting that PITG_07569 is Avramr1. Here we demonstrate that long read and cDNA PenSeq enables the identification of full-length RXLR effector families and their expression profile. This study has revealed key insights into the evolution and polymorphism of a complex RXLR effector family that is associated with the recognition by Rpi-amr1.
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Affiliation(s)
- Xiao Lin
- The Sainsbury Laboratory, University of East AngliaNorwichUK
| | - Tianqiao Song
- The Sainsbury Laboratory, University of East AngliaNorwichUK
- Present address:
Institute of Plant ProtectionJiangsu Academy of Agricultural SciencesNanjingChina
| | | | - Kamil Witek
- The Sainsbury Laboratory, University of East AngliaNorwichUK
| | - Agathe Jouet
- The Sainsbury Laboratory, University of East AngliaNorwichUK
| | - Florian Jupe
- The Sainsbury Laboratory, University of East AngliaNorwichUK
- Present address:
Bayer Crop ScienceChesterfieldMissouriUSA
| | | | - Hari S. Karki
- The Sainsbury Laboratory, University of East AngliaNorwichUK
- Present address:
U.S. Department of Agriculture–Agricultural Research ServiceMadisonWisconsinUSA
| | | | - Ingo Hein
- School of Life SciencesDivision of Plant SciencesUniversity of DundeeDundeeUK
- Cell and Molecular SciencesThe James Hutton InstituteInvergowrie, DundeeUK
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Feuerriegel S, Kohl TA, Utpatel C, Andres S, Maurer FP, Heyckendorf J, Jouet A, Badalato N, Foray L, Fouad Kamara R, Conteh OS, Supply P, Niemann S. Rapid genomic first- and second-line drug resistance prediction from clinical Mycobacterium tuberculosis specimens using Deeplex-MycTB. Eur Respir J 2020; 57:13993003.01796-2020. [DOI: 10.1183/13993003.01796-2020] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 06/25/2020] [Indexed: 11/05/2022]
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Jouet A, Saunders DGO, McMullan M, Ward B, Furzer O, Jupe F, Cevik V, Hein I, Thilliez GJA, Holub E, van Oosterhout C, Jones JDG. Albugo candida race diversity, ploidy and host-associated microbes revealed using DNA sequence capture on diseased plants in the field. New Phytol 2019; 221:1529-1543. [PMID: 30288750 DOI: 10.1111/nph.15417] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 07/20/2018] [Indexed: 05/28/2023]
Abstract
Physiological races of the oomycete Albugo candida are biotrophic pathogens of diverse plant species, primarily the Brassicaceae, and cause infections that suppress host immunity to other pathogens. However, A. candida race diversity and the consequences of host immunosuppression are poorly understood in the field. We report a method that enables sequencing of DNA of plant pathogens and plant-associated microbes directly from field samples (Pathogen Enrichment Sequencing: PenSeq). We apply this method to explore race diversity in A. candida and to detect A. candida-associated microbes in the field (91 A. candida-infected plants). We show with unprecedented resolution that each host plant species supports colonization by one of 17 distinct phylogenetic lineages, each with an unique repertoire of effector candidate alleles. These data reveal the crucial role of sexual and asexual reproduction, polyploidy and host domestication in A. candida specialization on distinct plant species. Our bait design also enabled phylogenetic assignment of DNA sequences from bacteria and fungi from plants in the field. This paper shows that targeted sequencing has a great potential for the study of pathogen populations while they are colonizing their hosts. This method could be applied to other microbes, especially to those that cannot be cultured.
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Affiliation(s)
- Agathe Jouet
- The Sainsbury Laboratory, Norwich Research Park, Norwich, NR4 7UH, UK
- School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
| | | | - Mark McMullan
- The Earlham Institute, Norwich Research Park, Norwich, NR4 7UZ, UK
| | - Ben Ward
- School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
- The Earlham Institute, Norwich Research Park, Norwich, NR4 7UZ, UK
| | - Oliver Furzer
- The Sainsbury Laboratory, Norwich Research Park, Norwich, NR4 7UH, UK
- University of North Carolina, Chapel Hill, NC, 27599-2200, USA
| | - Florian Jupe
- The Sainsbury Laboratory, Norwich Research Park, Norwich, NR4 7UH, UK
- Plant Molecular and Cellular Biology Laboratory, Salk Institute, La Jolla, CA, 92037, USA
| | - Volkan Cevik
- The Sainsbury Laboratory, Norwich Research Park, Norwich, NR4 7UH, UK
- The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, BA2 7AY, UK
| | - Ingo Hein
- The James Hutton Institute, CMS, Dundee, DD2 5DA, UK
- Division of Plant Sciences at the James Hutton Institute, the University of Dundee, Dundee, DD2 5DA, UK
| | - Gaetan J A Thilliez
- The James Hutton Institute, CMS, Dundee, DD2 5DA, UK
- Quadram Institute Bioscience, Norwich Research Park, Colney Lane, NR4 7UH, Norwich, UK
| | - Eric Holub
- School of Life Sciences, Warwick Crop Centre, University of Warwick, Warwick, CV35 9EF, UK
| | - Cock van Oosterhout
- School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
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Thilliez GJA, Armstrong MR, Lim T, Baker K, Jouet A, Ward B, van Oosterhout C, Jones JDG, Huitema E, Birch PRJ, Hein I. Pathogen enrichment sequencing (PenSeq) enables population genomic studies in oomycetes. New Phytol 2019; 221:1634-1648. [PMID: 30288743 PMCID: PMC6492278 DOI: 10.1111/nph.15441] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Accepted: 08/13/2018] [Indexed: 05/11/2023]
Abstract
The oomycete pathogens Phytophthora infestans and P. capsici cause significant crop losses world-wide, threatening food security. In each case, pathogenicity factors, called RXLR effectors, contribute to virulence. Some RXLRs are perceived by resistance proteins to trigger host immunity, but our understanding of the demographic processes and adaptive evolution of pathogen virulence remains poor. Here, we describe PenSeq, a highly efficient enrichment sequencing approach for genes encoding pathogenicity determinants which, as shown for the infamous potato blight pathogen Phytophthora infestans, make up < 1% of the entire genome. PenSeq facilitates the characterization of allelic diversity in pathogen effectors, enabling evolutionary and population genomic analyses of Phytophthora species. Furthermore, PenSeq enables the massively parallel identification of presence/absence variations and sequence polymorphisms in key pathogen genes, which is a prerequisite for the efficient deployment of host resistance genes. PenSeq represents a cost-effective alternative to whole-genome sequencing and addresses crucial limitations of current plant pathogen population studies, which are often based on selectively neutral markers and consequently have limited utility in the analysis of adaptive evolution. The approach can be adapted to diverse microbes and pathogens.
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Affiliation(s)
- Gaetan J. A. Thilliez
- Cell and Molecular SciencesThe James Hutton InstituteErrol Road, InvergowrieDundeeDD2 5DAUK
- Division of Plant Sciences at the James Hutton InstituteSchool of Life SciencesUniversity of DundeeDundeeDD2 5DAUK
| | - Miles R. Armstrong
- Cell and Molecular SciencesThe James Hutton InstituteErrol Road, InvergowrieDundeeDD2 5DAUK
| | - Tze‐Yin Lim
- Information and Computational SciencesThe James Hutton InstituteDundeeDD2 5DAUK
| | - Katie Baker
- Information and Computational SciencesThe James Hutton InstituteDundeeDD2 5DAUK
| | - Agathe Jouet
- The Sainsbury LaboratoryNorwich Research ParkNorwichNR4 7GJUK
| | - Ben Ward
- The Earlham InstituteNorwich Research ParkNorwichNR4 7UHUK
| | | | | | - Edgar Huitema
- Division of Plant Sciences at the James Hutton InstituteSchool of Life SciencesUniversity of DundeeDundeeDD2 5DAUK
| | - Paul R. J. Birch
- Cell and Molecular SciencesThe James Hutton InstituteErrol Road, InvergowrieDundeeDD2 5DAUK
- Division of Plant Sciences at the James Hutton InstituteSchool of Life SciencesUniversity of DundeeDundeeDD2 5DAUK
| | - Ingo Hein
- Cell and Molecular SciencesThe James Hutton InstituteErrol Road, InvergowrieDundeeDD2 5DAUK
- Division of Plant Sciences at the James Hutton InstituteSchool of Life SciencesUniversity of DundeeDundeeDD2 5DAUK
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Makhado NA, Matabane E, Faccin M, Pinçon C, Jouet A, Boutachkourt F, Goeminne L, Gaudin C, Maphalala G, Beckert P, Niemann S, Delvenne JC, Delmée M, Razwiedani L, Nchabeleng M, Supply P, de Jong BC, André E. Outbreak of multidrug-resistant tuberculosis in South Africa undetected by WHO-endorsed commercial tests: an observational study. The Lancet Infectious Diseases 2018; 18:1350-1359. [DOI: 10.1016/s1473-3099(18)30496-1] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 07/23/2018] [Accepted: 07/30/2018] [Indexed: 10/28/2022]
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Jouet A, McMullan M, van Oosterhout C. The effects of recombination, mutation and selection on the evolution of the Rp1 resistance genes in grasses. Mol Ecol 2015; 24:3077-92. [PMID: 25907026 DOI: 10.1111/mec.13213] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2014] [Revised: 03/25/2015] [Accepted: 04/09/2015] [Indexed: 01/30/2023]
Abstract
Plant immune genes, or resistance genes, are involved in a co-evolutionary arms race with a diverse range of pathogens. In agronomically important grasses, such R genes have been extensively studied because of their role in pathogen resistance and in the breeding of resistant cultivars. In this study, we evaluate the importance of recombination, mutation and selection on the evolution of the R gene complex Rp1 of Sorghum, Triticum, Brachypodium, Oryza and Zea. Analyses show that recombination is widespread, and we detected 73 independent instances of sequence exchange, involving on average 1567 of 4692 nucleotides analysed (33.4%). We were able to date 24 interspecific recombination events and found that four occurred postspeciation, which suggests that genetic introgression took place between different grass species. Other interspecific events seemed to have been maintained over long evolutionary time, suggesting the presence of balancing selection. Significant positive selection (i.e. a relative excess of nonsynonymous substitutions (dN /dS >1)) was detected in 17-95 codons (0.42-2.02%). Recombination was significantly associated with areas with high levels of polymorphism but not with an elevated dN /dS ratio. Finally, phylogenetic analyses show that recombination results in a general overestimation of the divergence time (mean = 14.3%) and an alteration of the gene tree topology if the tree is not calibrated. Given that the statistical power to detect recombination is determined by the level of polymorphism of the amplicon as well as the number of sequences analysed, it is likely that many studies have underestimated the importance of recombination relative to the mutation rate.
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Affiliation(s)
- Agathe Jouet
- School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.,The Sainsbury Laboratory, Norwich Research Park, Norwich, NR4 7UH, UK
| | - Mark McMullan
- The Genome Analysis Center, Norwich Research Park, Norwich, NR4 7TJ, UK
| | - Cock van Oosterhout
- School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
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