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Stisen ZR, Nielsen SM, Ditlev SB, Skougaard M, Egeberg A, Mogensen M, Jørgensen TS, Dreyer L, Christensen R, Kristensen LE. Treatment-related changes in serum neutrophil gelatinase-associated lipocalin (NGAL) in psoriatic arthritis: results from the PIPA cohort study. Scand J Rheumatol 2024; 53:21-28. [PMID: 37339383 DOI: 10.1080/03009742.2023.2216046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 05/17/2023] [Indexed: 06/22/2023]
Abstract
OBJECTIVES Obesity and psoriatic arthritis (PsA) have a complicated relationship. While weight alone does not cause PsA, it is suspected to cause worse symptoms. Neutrophil gelatinase-associated lipocalin (NGAL) is secreted through various cell types. Our objective was to assess the changes and trajectories in serum NGAL and clinical outcomes in patients with PsA during 12 months of anti-inflammatory treatment. METHOD This exploratory prospective cohort study enrolled PsA patients initiating conventional synthetic or biological disease-modifying anti-rheumatic drugs (csDMARDs/bDMARDs). Clinical, biomarker, and patient-reported outcome measures were retrieved at baseline, and 4 and 12 months. Control groups at baseline were psoriasis (PsO) patients and apparently healthy controls. The serum NGAL concentration was quantified by a high-performance singleplex immunoassay. RESULTS In total, 117 PsA patients started a csDMARD or bDMARD, and were compared indirectly at baseline with a cross-sectional sample of 20 PsO patients and 20 healthy controls. The trajectory in NGAL related to anti-inflammatory treatment for all included PsA patients showed an overall change of -11% from baseline to 12 months. Trajectories in NGAL for patients with PsA, divided into treatment groups, showed no clear trend in clinically significant decrease or increase following anti-inflammatory treatment. NGAL concentrations in the PsA group at baseline corresponded to the levels in the control groups. No correlation was found between changes in NGAL and changes in PsA outcomes. CONCLUSION Based on these results, serum NGAL does not add any value as a biomarker in patients with peripheral PsA, either for disease activity or for monitoring.
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Affiliation(s)
- Z R Stisen
- The Parker Institute, Bispebjerg and Frederiksberg Hospital, University of Copenhagen, Copenhagen, Denmark
| | - S M Nielsen
- The Parker Institute, Bispebjerg and Frederiksberg Hospital, University of Copenhagen, Copenhagen, Denmark
- Research Unit of Rheumatology, Department of Clinical Research, University of Southern Denmark, Odense University Hospital, Denmark
| | - S B Ditlev
- Copenhagen Center for Translational Research, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - M Skougaard
- The Parker Institute, Bispebjerg and Frederiksberg Hospital, University of Copenhagen, Copenhagen, Denmark
- Copenhagen Center for Translational Research, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
| | - A Egeberg
- Department of Dermatology, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - M Mogensen
- Department of Dermatology, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - T S Jørgensen
- The Parker Institute, Bispebjerg and Frederiksberg Hospital, University of Copenhagen, Copenhagen, Denmark
| | - L Dreyer
- Center of Rheumatic Research Aalborg (CERRA), Department of Rheumatology, Aalborg University Hospital, Aalborg University, Aalborg, Denmark
| | - R Christensen
- The Parker Institute, Bispebjerg and Frederiksberg Hospital, University of Copenhagen, Copenhagen, Denmark
- Research Unit of Rheumatology, Department of Clinical Research, University of Southern Denmark, Odense University Hospital, Denmark
| | - L E Kristensen
- The Parker Institute, Bispebjerg and Frederiksberg Hospital, University of Copenhagen, Copenhagen, Denmark
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2
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Acebal MC, Hansen BW, Jørgensen TS, Dalgaard LT. Analysis of the transcriptional pathways associated with the induction of quiescent embryonic arrest in the calanoid copepod Acartia tonsa. Dev Biol 2023; 504:38-48. [PMID: 37739119 DOI: 10.1016/j.ydbio.2023.09.004] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 09/03/2023] [Accepted: 09/12/2023] [Indexed: 09/24/2023]
Abstract
The copepod species Acartia tonsa (Dana)(Crustacea) have the unique ability to induce quiescent embryonic dormancy if adverse environmental conditions occur; a characteristic shared by 41 other species belonging to the superfamily Centropagoida in the Calanoida order. However, the transcriptional changes characterizing this process are not known. Here, we compare the transcriptome of embryos in arrested quiescence with the normal development to identify pathways and differentially regulated transcripts involved in quiescent embryogenesis. Quiescence was induced by incubating eggs at 4 °C with anoxia for 26 h(hr), while eggs undergoing normal immediate development were incubated at 16.9 °C in normoxia for 7 h (where gastrulation occurs) or 14 h (where organogenesis occurs) before collecting for RNA extraction and analysis by RNA-sequencing. Results indicate that the expression profile of the quiescent embryo is not as different from the normal embryonic gastrulation as initially expected: None of the mapped transcripts is uniquely expressed in quiescence. Moreover, in quiescence a large proportion of the annotated transcripts display expression values halfway in-between the normal, immediate developmental stages of gastrulation and organogenesis. In depth comparison between the organogenesis stage and quiescent samples, reveal a high degree of divergence, confirming that a developmental arrest has been induced through quiescence. Specifically: Stress response transcripts are prominent in the quiescent phase with a transcript like the mammalian autophagy gene Sequestosome-1/p62 (SQSTM) being upregulated. The present analysis provides a better understanding of the molecular mechanisms characterizing the quiescent embryonic state of A. tonsa.
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Affiliation(s)
- Miguel Cifuentes Acebal
- Department of Science and Environment, Roskilde University, Universitetsvej 1, DK-4000, Roskilde, Denmark
| | - Benni Winding Hansen
- Department of Science and Environment, Roskilde University, Universitetsvej 1, DK-4000, Roskilde, Denmark.
| | - Tue Sparholt Jørgensen
- Department of Science and Environment, Roskilde University, Universitetsvej 1, DK-4000, Roskilde, Denmark; Department of Environmental Science - Environmental Microbiology and Biotechnology, Aarhus University, Frederiksborgvej 399, DK-4000, Roskilde, Denmark
| | - Louise Torp Dalgaard
- Department of Science and Environment, Roskilde University, Universitetsvej 1, DK-4000, Roskilde, Denmark.
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Alvarez-Arevalo M, Sterndorff EB, Faurdal D, Mourched AS, Charusanti P, Jørgensen TS, Weber T. Complete, circular genome sequence of a Bosea sp . isolate from soil. Microbiol Resour Announc 2023; 12:e0036023. [PMID: 37607062 PMCID: PMC10508160 DOI: 10.1128/mra.00360-23] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 06/26/2023] [Indexed: 08/24/2023] Open
Abstract
Here, we report the complete, circular genome sequence of a potential novel species from the underexplored Alphaproteobacterial genus Bosea. Bosea sp. NBC_00550 was isolated from a soil sample collected in Lyngby, Denmark. We explore the biosynthetic potential of Bosea sp. NBC_00550 and compare it with that of other Bosea species.
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Affiliation(s)
- Maria Alvarez-Arevalo
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Eva Baggesgaard Sterndorff
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
| | - David Faurdal
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Anna-Sophie Mourched
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Pep Charusanti
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Tue Sparholt Jørgensen
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Tilmann Weber
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
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4
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Ortiz-López FJ, Oves-Costales D, Carretero-Molina D, Martín J, Díaz C, de la Cruz M, Román-Hurtado F, Álvarez-Arévalo M, Jørgensen TS, Reyes F, Weber T, Genilloud O. Crossiellidines A-F, Unprecedented Pyrazine-Alkylguanidine Metabolites with Broad-Spectrum Antibacterial Activity from Crossiella sp. Org Lett 2023; 25:3502-3507. [PMID: 37162500 DOI: 10.1021/acs.orglett.3c01088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Crosiellidines are intriguing pyrazine-alkylguanidine metabolites isolated from the minor actinomycete genus Crossiella. Their structures present an unprecedented 2-methoxy-3,5,6-trialkyl pyrazine scaffold and uncommon guanidine prenylations, including an exotic O-prenylated N-hydroxyguanidine moiety. The novel substitution pattern of the 2-methoxypyrazine core inaugurates a new class of naturally occurring pyrazine compounds, the biosynthetic implications of which are discussed herein. Isotopic feeding and genome analysis allowed us to propose a biosynthetic pathway from arginine. The crossiellidines exhibited remarkable, broad-spectrum antibacterial activity.
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Affiliation(s)
- Francisco Javier Ortiz-López
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avenida del Conocimiento 34, Parque Tecnológico Ciencias de la Salud, 18016 Armilla, Granada, Spain
| | - Daniel Oves-Costales
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avenida del Conocimiento 34, Parque Tecnológico Ciencias de la Salud, 18016 Armilla, Granada, Spain
| | - Daniel Carretero-Molina
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avenida del Conocimiento 34, Parque Tecnológico Ciencias de la Salud, 18016 Armilla, Granada, Spain
| | - Jesús Martín
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avenida del Conocimiento 34, Parque Tecnológico Ciencias de la Salud, 18016 Armilla, Granada, Spain
| | - Caridad Díaz
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avenida del Conocimiento 34, Parque Tecnológico Ciencias de la Salud, 18016 Armilla, Granada, Spain
| | - Mercedes de la Cruz
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avenida del Conocimiento 34, Parque Tecnológico Ciencias de la Salud, 18016 Armilla, Granada, Spain
| | - Fernando Román-Hurtado
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avenida del Conocimiento 34, Parque Tecnológico Ciencias de la Salud, 18016 Armilla, Granada, Spain
| | - María Álvarez-Arévalo
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800 Kgs, Lyngby, Denmark
| | - Tue Sparholt Jørgensen
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800 Kgs, Lyngby, Denmark
| | - Fernando Reyes
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avenida del Conocimiento 34, Parque Tecnológico Ciencias de la Salud, 18016 Armilla, Granada, Spain
| | - Tilmann Weber
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800 Kgs, Lyngby, Denmark
| | - Olga Genilloud
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avenida del Conocimiento 34, Parque Tecnológico Ciencias de la Salud, 18016 Armilla, Granada, Spain
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5
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Dolya B, Hryhorieva O, Sorochynska K, Lopatniuk M, Ostash I, Tseduliak VM, Sterndorff EB, Jørgensen TS, Gren T, Dacyuk Y, Weber T, Luzhetskyy A, Fedorenko V, Ostash B. Properties of Multidrug-Resistant Mutants Derived from Heterologous Expression Chassis Strain Streptomyces albidoflavus J1074. Microorganisms 2023; 11:1176. [PMID: 37317150 DOI: 10.3390/microorganisms11051176] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 03/30/2023] [Accepted: 04/28/2023] [Indexed: 06/16/2023] Open
Abstract
Streptomyces albidoflavus J1074 is a popular platform to discover novel natural products via the expression of heterologous biosynthetic gene clusters (BGCs). There is keen interest in improving the ability of this platform to overexpress BGCs and, consequently, enable the purification of specialized metabolites. Mutations within gene rpoB for the β-subunit of RNA polymerase are known to increase rifampicin resistance and augment the metabolic capabilities of streptomycetes. Yet, the effects of rpoB mutations on J1074 remained unstudied, and we decided to address this issue. A target collection of strains that we studied carried spontaneous rpoB mutations introduced in the background of the other drug resistance mutations. The antibiotic resistance spectra, growth, and specialized metabolism of the resulting mutants were interrogated using a set of microbiological and analytical approaches. We isolated 14 different rpoB mutants showing various degrees of rifampicin resistance; one of them (S433W) was isolated for the first time in actinomycetes. The rpoB mutations had a major effect on antibiotic production by J1074, as evident from bioassays and LC-MS data. Our data support the idea that rpoB mutations are useful tools to enhance the ability of J1074 to produce specialized metabolites.
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Affiliation(s)
- Borys Dolya
- Department of Genetics and Biotechnology, Ivan Franko National University of Lviv, 79005 Lviv, Ukraine
| | - Olena Hryhorieva
- Department of Genetics and Biotechnology, Ivan Franko National University of Lviv, 79005 Lviv, Ukraine
| | - Khrystyna Sorochynska
- Department of Genetics and Biotechnology, Ivan Franko National University of Lviv, 79005 Lviv, Ukraine
| | - Maria Lopatniuk
- Department of Pharmacy, Saarland University, 66123 Saarbrucken, Germany
| | - Iryna Ostash
- Department of Genetics and Biotechnology, Ivan Franko National University of Lviv, 79005 Lviv, Ukraine
| | - Vasylyna-Marta Tseduliak
- Department of Genetics and Biotechnology, Ivan Franko National University of Lviv, 79005 Lviv, Ukraine
| | - Eva Baggesgaard Sterndorff
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, 2800 Kongens Lyngby, Denmark
| | - Tue Sparholt Jørgensen
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, 2800 Kongens Lyngby, Denmark
| | - Tetiana Gren
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, 2800 Kongens Lyngby, Denmark
| | - Yuriy Dacyuk
- Department of Mineral Geology and Geophysics, Ivan Franko National University of Lviv, 79005 Lviv, Ukraine
| | - Tilmann Weber
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, 2800 Kongens Lyngby, Denmark
| | - Andriy Luzhetskyy
- Department of Pharmacy, Saarland University, 66123 Saarbrucken, Germany
| | - Victor Fedorenko
- Department of Genetics and Biotechnology, Ivan Franko National University of Lviv, 79005 Lviv, Ukraine
| | - Bohdan Ostash
- Department of Genetics and Biotechnology, Ivan Franko National University of Lviv, 79005 Lviv, Ukraine
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6
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Alvarez-Arevalo M, Sterndorff EB, Faurdal D, Jørgensen TS, Mourched AS, Vuksanovic O, Saha S, Weber T. Extraction and Oxford Nanopore sequencing of genomic DNA from filamentous Actinobacteria. STAR Protoc 2023; 4:101955. [PMID: 36527715 PMCID: PMC9792953 DOI: 10.1016/j.xpro.2022.101955] [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] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 10/27/2022] [Accepted: 12/01/2022] [Indexed: 12/23/2022] Open
Abstract
Actinomycetota (Actinobacteria) is an ecologically and industrially important phylum which is challenging to extract pure high-molecular-weight (HMW) DNA from. This protocol provides a parallelized, cost-effective, and straightforward approach for consistently extracting pure HMW DNA using modified non-toxic commercial kits suitable for higher throughput applications. We further provide a workflow for sequencing and assembly of complete genomes using an optimized Oxford Nanopore rapid barcoding protocol and Illumina data error correction.
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Affiliation(s)
- Maria Alvarez-Arevalo
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark (DTU), Kemitorvet, 2800 Kgs. Lyngby, Denmark
| | - Eva Baggesgaard Sterndorff
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark (DTU), Kemitorvet, 2800 Kgs. Lyngby, Denmark
| | - David Faurdal
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark (DTU), Kemitorvet, 2800 Kgs. Lyngby, Denmark
| | - Tue Sparholt Jørgensen
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark (DTU), Kemitorvet, 2800 Kgs. Lyngby, Denmark.
| | - Anna-Sophie Mourched
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark (DTU), Kemitorvet, 2800 Kgs. Lyngby, Denmark
| | - Oliwia Vuksanovic
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark (DTU), Kemitorvet, 2800 Kgs. Lyngby, Denmark
| | - Subhasish Saha
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark (DTU), Kemitorvet, 2800 Kgs. Lyngby, Denmark
| | - Tilmann Weber
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark (DTU), Kemitorvet, 2800 Kgs. Lyngby, Denmark.
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7
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Acebal MC, Dalgaard LT, Jørgensen TS, Hansen BW. Embryogenesis of a calanoid copepod analyzed by transcriptomics. Comp Biochem Physiol Part D Genomics Proteomics 2023; 45:101054. [PMID: 36565589 DOI: 10.1016/j.cbd.2022.101054] [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] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 11/22/2022] [Accepted: 12/06/2022] [Indexed: 12/14/2022]
Abstract
The calanoid copepod Acartia tonsa (Dana) has attracted interest because of its use as a copepod model organism as well as its potential economic role as live fish larval feed. While the adult genome and transcriptome of A. tonsa has been investigated, no studies have been performed investigating the genome-wide transcriptional changes during the normal subitaneous embryogenesis. Thus, the aim of the current study was to investigate said transcriptional changes throughout A. tonsa embryonic development. RNA extraction and de novo transcriptome assembly for the subitaneous embryogenesis of the copepod was conducted. The assembly includes for the first-time samples describing quiescent development and overall helps establishing a framework for future studies on the molecular biology of our species of interest. Among the findings reported, sequences annotated to well-known developmental genes, were identified. At the same time are described the molecular changes and gene expression levels throughout the entire 42 h the embryonic development lasts. In conclusion, here we present the most complete genome-wide transcriptional map of early copepod embryonic development to date, enabling further use of A. tonsa as a model organism for crustacean development. Keywords: enrichment of pathways; subitaneous embryogenesis, comparative genomics; transcriptome assembly; invertebrate genomics.
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Affiliation(s)
- Miguel Cifuentes Acebal
- Department of Science and Environment, Roskilde University, Universitetsvej 1, DK-4000 Roskilde, Denmark
| | - Louise Torp Dalgaard
- Department of Science and Environment, Roskilde University, Universitetsvej 1, DK-4000 Roskilde, Denmark
| | - Tue Sparholt Jørgensen
- Department of Science and Environment, Roskilde University, Universitetsvej 1, DK-4000 Roskilde, Denmark; Department of Environmental Science - Environmental Microbiology and Biotechnology, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark; The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain) at the Technical University of Denmark, Building 220, Kemitorvet, DK-2800 Kgs. Lyngby, Denmark(1)
| | - Benni Winding Hansen
- Department of Science and Environment, Roskilde University, Universitetsvej 1, DK-4000 Roskilde, Denmark.
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8
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Jarczynska Z, Garcia Vanegas K, Deichmann M, Nørskov Jensen C, Scheeper MJ, Futyma ME, Strucko T, Jares Contesini F, Sparholt Jørgensen T, Blæsbjerg Hoof J, Hasbro Mortensen U. A Versatile in Vivo DNA Assembly Toolbox for Fungal Strain Engineering. ACS Synth Biol 2022; 11:3251-3263. [PMID: 36126183 PMCID: PMC9594312 DOI: 10.1021/acssynbio.2c00159] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Efficient homologous recombination in baker's yeast allows accurate fusion of DNA fragments via short identical sequence tags in vivo. Eliminating the need for an Escherichia coli cloning step speeds up genetic engineering of this yeast and sets the stage for large high-throughput projects depending on DNA construction. With the aim of developing similar tools for filamentous fungi, we first set out to determine the genetic- and sequence-length requirements needed for efficient fusion reactions, and demonstrated that in nonhomologous end-joining deficient strains of Aspergillus nidulans, efficient fusions can be achieved by 25 bp sequence overlaps. Based on these results, we developed a novel fungal in vivo DNA assembly toolbox for simple and flexible genetic engineering of filamentous fungi. Specifically, we have used this method for construction of AMA1-based vectors, complex gene-targeting substrates for gene deletion and gene insertion, and for marker-free CRISPR based gene editing. All reactions were done via single-step transformations involving fusions of up to six different DNA fragments. Moreover, we show that it can be applied in four different species of Aspergilli. We therefore envision that in vivo DNA assembly can be advantageously used for many more purposes and will develop into a popular tool for fungal genetic engineering.
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Affiliation(s)
- Zofia
Dorota Jarczynska
- Eukaryotic
Molecular Cell Biology, Section for Synthetic Biology, Department
of Biotechnology and Biomedicine, Technical
University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Katherina Garcia Vanegas
- Eukaryotic
Molecular Cell Biology, Section for Synthetic Biology, Department
of Biotechnology and Biomedicine, Technical
University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Marcus Deichmann
- Eukaryotic
Molecular Cell Biology, Section for Synthetic Biology, Department
of Biotechnology and Biomedicine, Technical
University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Christina Nørskov Jensen
- Eukaryotic
Molecular Cell Biology, Section for Synthetic Biology, Department
of Biotechnology and Biomedicine, Technical
University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Marouschka Jasmijn Scheeper
- Eukaryotic
Molecular Cell Biology, Section for Synthetic Biology, Department
of Biotechnology and Biomedicine, Technical
University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Malgorzata Ewa Futyma
- Eukaryotic
Molecular Cell Biology, Section for Synthetic Biology, Department
of Biotechnology and Biomedicine, Technical
University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Tomas Strucko
- Eukaryotic
Molecular Cell Biology, Section for Synthetic Biology, Department
of Biotechnology and Biomedicine, Technical
University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Fabiano Jares Contesini
- Eukaryotic
Molecular Cell Biology, Section for Synthetic Biology, Department
of Biotechnology and Biomedicine, Technical
University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Tue Sparholt Jørgensen
- The
Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Jakob Blæsbjerg Hoof
- Eukaryotic
Molecular Cell Biology, Section for Synthetic Biology, Department
of Biotechnology and Biomedicine, Technical
University of Denmark, 2800 Kongens Lyngby, Denmark
| | - Uffe Hasbro Mortensen
- Eukaryotic
Molecular Cell Biology, Section for Synthetic Biology, Department
of Biotechnology and Biomedicine, Technical
University of Denmark, 2800 Kongens Lyngby, Denmark,
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9
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Meyer F, Fritz A, Deng ZL, Koslicki D, Lesker TR, Gurevich A, Robertson G, Alser M, Antipov D, Beghini F, Bertrand D, Brito JJ, Brown CT, Buchmann J, Buluç A, Chen B, Chikhi R, Clausen PTLC, Cristian A, Dabrowski PW, Darling AE, Egan R, Eskin E, Georganas E, Goltsman E, Gray MA, Hansen LH, Hofmeyr S, Huang P, Irber L, Jia H, Jørgensen TS, Kieser SD, Klemetsen T, Kola A, Kolmogorov M, Korobeynikov A, Kwan J, LaPierre N, Lemaitre C, Li C, Limasset A, Malcher-Miranda F, Mangul S, Marcelino VR, Marchet C, Marijon P, Meleshko D, Mende DR, Milanese A, Nagarajan N, Nissen J, Nurk S, Oliker L, Paoli L, Peterlongo P, Piro VC, Porter JS, Rasmussen S, Rees ER, Reinert K, Renard B, Robertsen EM, Rosen GL, Ruscheweyh HJ, Sarwal V, Segata N, Seiler E, Shi L, Sun F, Sunagawa S, Sørensen SJ, Thomas A, Tong C, Trajkovski M, Tremblay J, Uritskiy G, Vicedomini R, Wang Z, Wang Z, Wang Z, Warren A, Willassen NP, Yelick K, You R, Zeller G, Zhao Z, Zhu S, Zhu J, Garrido-Oter R, Gastmeier P, Hacquard S, Häußler S, Khaledi A, Maechler F, Mesny F, Radutoiu S, Schulze-Lefert P, Smit N, Strowig T, Bremges A, Sczyrba A, McHardy AC. Critical Assessment of Metagenome Interpretation: the second round of challenges. Nat Methods 2022; 19:429-440. [PMID: 35396482 PMCID: PMC9007738 DOI: 10.1038/s41592-022-01431-4] [Citation(s) in RCA: 89] [Impact Index Per Article: 44.5] [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: 07/22/2021] [Accepted: 02/14/2022] [Indexed: 12/20/2022]
Abstract
Evaluating metagenomic software is key for optimizing metagenome interpretation and focus of the Initiative for the Critical Assessment of Metagenome Interpretation (CAMI). The CAMI II challenge engaged the community to assess methods on realistic and complex datasets with long- and short-read sequences, created computationally from around 1,700 new and known genomes, as well as 600 new plasmids and viruses. Here we analyze 5,002 results by 76 program versions. Substantial improvements were seen in assembly, some due to long-read data. Related strains still were challenging for assembly and genome recovery through binning, as was assembly quality for the latter. Profilers markedly matured, with taxon profilers and binners excelling at higher bacterial ranks, but underperforming for viruses and Archaea. Clinical pathogen detection results revealed a need to improve reproducibility. Runtime and memory usage analyses identified efficient programs, including top performers with other metrics. The results identify challenges and guide researchers in selecting methods for analyses. This study presents the results of the second round of the Critical Assessment of Metagenome Interpretation challenges (CAMI II), which is a community-driven effort for comprehensively benchmarking tools for metagenomics data analysis.
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Affiliation(s)
- Fernando Meyer
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Adrian Fritz
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany.,German Center for Infection Research (DZIF), Hannover-Braunschweig Site, Braunschweig, Germany
| | - Zhi-Luo Deng
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany.,Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
| | | | - Till Robin Lesker
- German Center for Infection Research (DZIF), Hannover-Braunschweig Site, Braunschweig, Germany.,Helmholtz Centre for Infection Research, Braunschweig, Germany
| | | | - Gary Robertson
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany
| | - Mohammed Alser
- Department of Information Technology and Electrical Engineering, ETH Zürich, Zurich, Switzerland
| | - Dmitry Antipov
- Center for Algorithmic Biotechnology, Saint Petersburg State University, Saint Petersburg, Russia
| | | | | | | | | | - Jan Buchmann
- Institute for Biological Data Science, Heinrich-Heine-University, Düsseldorf, Germany
| | - Aydin Buluç
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,University of California, Berkeley, Berkeley, CA, USA
| | - Bo Chen
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,University of California, Berkeley, Berkeley, CA, USA
| | | | - Philip T L C Clausen
- National Food Institute, Division of Global Surveillance, Technical University of Denmark, Lyngby, Denmark
| | - Alexandru Cristian
- Drexel University, Philadelphia, PA, USA.,Google Inc., Philadelphia, PA, USA
| | - Piotr Wojciech Dabrowski
- Robert Koch-Institut, Berlin, Germany.,Hochschule für Technik und Wirtschaft Berlin, Berlin, Germany
| | | | - Rob Egan
- DOE Joint Genome Institute, Berkeley, CA, USA.,Lawrence Berkeley National Laboratories, Berkeley, CA, USA
| | - Eleazar Eskin
- University of California, Los Angeles, Los Angeles, CA, USA
| | | | - Eugene Goltsman
- DOE Joint Genome Institute, Berkeley, CA, USA.,Lawrence Berkeley National Laboratories, Berkeley, CA, USA
| | - Melissa A Gray
- Drexel University, Philadelphia, PA, USA.,Ecological and Evolutionary Signal-Processing and Informatics Laboratory, Philadelphia, PA, USA
| | - Lars Hestbjerg Hansen
- University of Copenhagen, Department of Plant and Environmental Science, Frederiksberg, Denmark
| | - Steven Hofmeyr
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,University of California, Berkeley, Berkeley, CA, USA
| | - Pingqin Huang
- School of Computer Science, Fudan University, Shanghai, China
| | - Luiz Irber
- University of California, Davis, Davis, CA, USA
| | - Huijue Jia
- BGI-Shenzhen, Shenzhen, China.,Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Shenzhen, China
| | - Tue Sparholt Jørgensen
- Technical University of Denmark, Novo Nordisk Foundation Center for Biosustainability, Lyngby, Denmark.,Aarhus University, Department of Environmental Science, Roskilde, Denmark
| | - Silas D Kieser
- Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Swiss Institute of Bioinformatics, Geneva, Switzerland
| | | | - Axel Kola
- Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Mikhail Kolmogorov
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Anton Korobeynikov
- Center for Algorithmic Biotechnology, Saint Petersburg State University, Saint Petersburg, Russia.,Department of Statistical Modelling, Saint Petersburg State University, Saint Petersburg, Russia
| | - Jason Kwan
- University of Wisconsin-Madison, Madison, WI, USA
| | | | | | - Chenhao Li
- Genome Institute of Singapore, Singapore, Singapore
| | | | - Fabio Malcher-Miranda
- Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany
| | | | - Vanessa R Marcelino
- Sydney Medical School, The University of Sydney, Sydney, Australia.,Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, Australia
| | | | - Pierre Marijon
- Department of Computer Science, Inria, University of Lille, CNRS, Lille, France
| | - Dmitry Meleshko
- Center for Algorithmic Biotechnology, Saint Petersburg State University, Saint Petersburg, Russia
| | - Daniel R Mende
- Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Alessio Milanese
- Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland.,Structural and Computational Biology Unit, EMBL, Heidelberg, Germany
| | - Niranjan Nagarajan
- Genome Institute of Singapore, A*STAR, Singapore, Singapore.,National University of Singapore, Singapore, Singapore
| | | | - Sergey Nurk
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Leonid Oliker
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,University of California, Berkeley, Berkeley, CA, USA
| | - Lucas Paoli
- Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland
| | | | - Vitor C Piro
- Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany
| | | | - Simon Rasmussen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Evan R Rees
- University of Wisconsin-Madison, Madison, WI, USA
| | - Knut Reinert
- Institute for Bioinformatics, FU Berlin, Berlin, Germany
| | - Bernhard Renard
- Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany.,Bioinformatics Unit (MF1), Robert Koch Institute, Berlin, Germany
| | | | - Gail L Rosen
- Drexel University, Philadelphia, PA, USA.,Ecological and Evolutionary Signal-Processing and Informatics Laboratory, Philadelphia, PA, USA.,Center for Biological Discovery from Big Data, Philadelphia, PA, USA
| | - Hans-Joachim Ruscheweyh
- Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland
| | - Varuni Sarwal
- University of California, Los Angeles, Los Angeles, CA, USA
| | - Nicola Segata
- Department CIBIO, University of Trento, Trento, Italy
| | - Enrico Seiler
- Institute for Bioinformatics, FU Berlin, Berlin, Germany
| | - Lizhen Shi
- Florida Polytechnic University, Lakeland, FL, USA
| | - Fengzhu Sun
- Quantitative and Computational Biology Department, University of Southern California, Los Angeles, CA, USA
| | - Shinichi Sunagawa
- Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland
| | | | - Ashleigh Thomas
- DOE Joint Genome Institute, Berkeley, CA, USA.,University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Mirko Trajkovski
- Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Diabetes Center, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Julien Tremblay
- Energy, Mining and Environment, National Research Council Canada, Montreal, Quebec, Canada
| | | | | | - Zhengyang Wang
- School of Computer Science, Fudan University, Shanghai, China
| | - Ziye Wang
- School of Mathematical Sciences, Fudan University, Shanghai, China
| | - Zhong Wang
- Department of Energy Joint Genome Institute, Berkeley, CA, USA.,Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,School of Natural Sciences, University of California at Merced, Merced, CA, USA
| | | | | | - Katherine Yelick
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,University of California, Berkeley, Berkeley, CA, USA
| | - Ronghui You
- School of Computer Science, Fudan University, Shanghai, China
| | - Georg Zeller
- Structural and Computational Biology Unit, EMBL, Heidelberg, Germany
| | | | - Shanfeng Zhu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Jie Zhu
- BGI-Shenzhen, Shenzhen, China.,Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Shenzhen, China
| | | | | | | | - Susanne Häußler
- Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Ariane Khaledi
- Helmholtz Centre for Infection Research, Braunschweig, Germany
| | | | - Fantin Mesny
- Max Planck Institute for Plant Breeding Research, Köln, Germany
| | | | | | - Nathiana Smit
- Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Till Strowig
- Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Andreas Bremges
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.,German Center for Infection Research (DZIF), Hannover-Braunschweig Site, Braunschweig, Germany
| | - Alexander Sczyrba
- Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany
| | - Alice Carolyn McHardy
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany. .,Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany. .,German Center for Infection Research (DZIF), Hannover-Braunschweig Site, Braunschweig, Germany. .,Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany.
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10
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Skougaard M, Stisen ZR, Jørgensen TS, Egeberg A, Hansen RL, Perez-Chada LM, Mogensen M, Merola JF, Gerwien JG, Kristensen LE. Increased prevalence of sleep disturbance in psoriatic arthritis is associated with inflammatory and non-inflammatory measures. Scand J Rheumatol 2022; 52:259-267. [PMID: 35302402 DOI: 10.1080/03009742.2022.2044116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
OBJECTIVES To examine the prevalence of sleep disturbances, quantified by the Pittsburgh Sleep Quality Index (PSQI), in patients with psoriatic arthritis (PsA), psoriasis (PsO) and healthy controls (HCs), explore associations between PSQI and clinical and patient-reported outcomes, and evaluate the effect of treatment on PSQI. METHOD Patients were included from the Parker Institute's PsA patient cohort to evaluate the prevalence of sleep disturbances. Univariate and multivariate regression analyses were used to explore associations between sleep disturbance and outcome measures. Treatment effect in PsA patients was assessed with a mixed-effect model for repeated measures. RESULTS In total, 109 PsA patients, 20 PsO patients, and 20 HCs were included. Sleep disturbances were reported by 66.1% of PsA patients, 45.0% of PsO patients, and 15.0% of HCs. Univariate regression analyses revealed statistically significant associations (p < 0.001) between PSQI and Disease Activity Score (DAS28CRP), tender points, visual analogue scale (VAS) patient global and pain, Psoriatic Arthritis Impact of Disease fatigue, Health Assessment Questionnaire (HAQ), and painDETECT score. Multivariate regression analysis demonstrated VAS patient global, VAS pain, and tender points as being independently associated with PSQI. The mixed-effect model revealed no effect of treatment. CONCLUSION More PsA patients than PsO patients and HCs reported sleep disturbances. Sleep disturbances were associated with inflammatory and non-inflammatory measures possibly explaining the limited effect of treatment. This demonstrates the need for interdisciplinary approaches to improve the management of sleep disturbance in PsA.Trial registration: ClinicalTrials.gov (NCT02572700).
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Affiliation(s)
- M Skougaard
- The Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.,Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
| | - Z R Stisen
- The Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - T S Jørgensen
- The Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - A Egeberg
- Department of Dermatology, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - R L Hansen
- The Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - L M Perez-Chada
- Department of Dermatology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - M Mogensen
- Department of Dermatology, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - J F Merola
- Department of Dermatology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Dermatology and Department of Medicine, Division of Rheumatology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - L E Kristensen
- The Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
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11
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Carretero-Molina D, Ortiz-López FJ, Gren T, Oves-Costales D, Martín J, Román-Hurtado F, Sparholt Jørgensen T, de la Cruz M, Díaz C, Vicente F, Blin K, Reyes F, Weber T, Genilloud O. Discovery of gargantulides B and C, new 52-membered macrolactones from Amycolatopsis sp. Complete absolute stereochemistry of the gargantulide family. Org Chem Front 2022. [DOI: 10.1039/d1qo01480c] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Gargantulides B and C are among the most complex bacterial polyketides discovered so far. A combination of NMR and genome-based bioinformatics analyses allowed us to complete and revise the absolute stereochemistry of the entire gargantulide family.
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Affiliation(s)
- Daniel Carretero-Molina
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avda. del Conocimiento 34, 18016 Armilla, Granada, Spain
| | - Francisco Javier Ortiz-López
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avda. del Conocimiento 34, 18016 Armilla, Granada, Spain
| | - Tetiana Gren
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, building 220, 2800 Kgs. Lyngby, Denmark
| | - Daniel Oves-Costales
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avda. del Conocimiento 34, 18016 Armilla, Granada, Spain
| | - Jesús Martín
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avda. del Conocimiento 34, 18016 Armilla, Granada, Spain
| | - Fernando Román-Hurtado
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avda. del Conocimiento 34, 18016 Armilla, Granada, Spain
| | - Tue Sparholt Jørgensen
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, building 220, 2800 Kgs. Lyngby, Denmark
| | - Mercedes de la Cruz
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avda. del Conocimiento 34, 18016 Armilla, Granada, Spain
| | - Caridad Díaz
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avda. del Conocimiento 34, 18016 Armilla, Granada, Spain
| | - Francisca Vicente
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avda. del Conocimiento 34, 18016 Armilla, Granada, Spain
| | - Kai Blin
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, building 220, 2800 Kgs. Lyngby, Denmark
| | - Fernando Reyes
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avda. del Conocimiento 34, 18016 Armilla, Granada, Spain
| | - Tilmann Weber
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, building 220, 2800 Kgs. Lyngby, Denmark
| | - Olga Genilloud
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avda. del Conocimiento 34, 18016 Armilla, Granada, Spain
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12
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Beck C, Gren T, Ortiz-López FJ, Jørgensen TS, Carretero-Molina D, Martín Serrano J, Tormo JR, Oves-Costales D, Kontou EE, Mohite OS, Mingyar E, Stegmann E, Genilloud O, Weber T. Activation and Identification of a Griseusin Cluster in Streptomyces sp. CA-256286 by Employing Transcriptional Regulators and Multi-Omics Methods. Molecules 2021; 26:6580. [PMID: 34770989 PMCID: PMC8588249 DOI: 10.3390/molecules26216580] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 10/25/2021] [Accepted: 10/26/2021] [Indexed: 11/17/2022] Open
Abstract
Streptomyces are well-known producers of a range of different secondary metabolites, including antibiotics and other bioactive compounds. Recently, it has been demonstrated that "silent" biosynthetic gene clusters (BGCs) can be activated by heterologously expressing transcriptional regulators from other BGCs. Here, we have activated a silent BGC in Streptomyces sp. CA-256286 by overexpression of a set of SARP family transcriptional regulators. The structure of the produced compound was elucidated by NMR and found to be an N-acetyl cysteine adduct of the pyranonaphtoquinone polyketide 3'-O-α-d-forosaminyl-(+)-griseusin A. Employing a combination of multi-omics and metabolic engineering techniques, we identified the responsible BGC. These methods include genome mining, proteomics and transcriptomics analyses, in combination with CRISPR induced gene inactivations and expression of the BGC in a heterologous host strain. This work demonstrates an easy-to-implement workflow of how silent BGCs can be activated, followed by the identification and characterization of the produced compound, the responsible BGC, and hints of its biosynthetic pathway.
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Affiliation(s)
- Charlotte Beck
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800 Kongens Lyngby, Denmark; (C.B.); (T.G.); (T.S.J.); (E.E.K.); (O.S.M.)
| | - Tetiana Gren
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800 Kongens Lyngby, Denmark; (C.B.); (T.G.); (T.S.J.); (E.E.K.); (O.S.M.)
| | - Francisco Javier Ortiz-López
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Parque Tecnológico de Ciencias de la Salud, Av. Conocimiento, 34, 18016 Granada, Spain; (F.J.O.-L.); (D.C.-M.); (J.M.S.); (J.R.T.); (D.O.-C.)
| | - Tue Sparholt Jørgensen
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800 Kongens Lyngby, Denmark; (C.B.); (T.G.); (T.S.J.); (E.E.K.); (O.S.M.)
| | - Daniel Carretero-Molina
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Parque Tecnológico de Ciencias de la Salud, Av. Conocimiento, 34, 18016 Granada, Spain; (F.J.O.-L.); (D.C.-M.); (J.M.S.); (J.R.T.); (D.O.-C.)
| | - Jesús Martín Serrano
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Parque Tecnológico de Ciencias de la Salud, Av. Conocimiento, 34, 18016 Granada, Spain; (F.J.O.-L.); (D.C.-M.); (J.M.S.); (J.R.T.); (D.O.-C.)
| | - José R. Tormo
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Parque Tecnológico de Ciencias de la Salud, Av. Conocimiento, 34, 18016 Granada, Spain; (F.J.O.-L.); (D.C.-M.); (J.M.S.); (J.R.T.); (D.O.-C.)
| | - Daniel Oves-Costales
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Parque Tecnológico de Ciencias de la Salud, Av. Conocimiento, 34, 18016 Granada, Spain; (F.J.O.-L.); (D.C.-M.); (J.M.S.); (J.R.T.); (D.O.-C.)
| | - Eftychia E. Kontou
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800 Kongens Lyngby, Denmark; (C.B.); (T.G.); (T.S.J.); (E.E.K.); (O.S.M.)
| | - Omkar S. Mohite
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800 Kongens Lyngby, Denmark; (C.B.); (T.G.); (T.S.J.); (E.E.K.); (O.S.M.)
| | - Erik Mingyar
- Department of Microbial Bioactive Compounds, Interfaculty Institute of Microbiology and Infection Medicine, Eberhard Karls Universität Tübingen, Auf der Morgenstelle 28, 72076 Tübingen, Germany; (E.M.); (E.S.)
- German Center for Infection Research (DZIF), Partner Site Tübingen, 72076 Tübingen, Germany
| | - Evi Stegmann
- Department of Microbial Bioactive Compounds, Interfaculty Institute of Microbiology and Infection Medicine, Eberhard Karls Universität Tübingen, Auf der Morgenstelle 28, 72076 Tübingen, Germany; (E.M.); (E.S.)
- German Center for Infection Research (DZIF), Partner Site Tübingen, 72076 Tübingen, Germany
| | - Olga Genilloud
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Parque Tecnológico de Ciencias de la Salud, Av. Conocimiento, 34, 18016 Granada, Spain; (F.J.O.-L.); (D.C.-M.); (J.M.S.); (J.R.T.); (D.O.-C.)
| | - Tilmann Weber
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800 Kongens Lyngby, Denmark; (C.B.); (T.G.); (T.S.J.); (E.E.K.); (O.S.M.)
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13
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Kontou EE, Gren T, Ortiz-López FJ, Thomsen E, Oves-Costales D, Díaz C, de la Cruz M, Jiang X, Jørgensen TS, Blin K, Charusanti P, Reyes F, Genilloud O, Weber T. Discovery and Characterization of Epemicins A and B, New 30-Membered Macrolides from Kutzneria sp. CA-103260. ACS Chem Biol 2021; 16:1456-1468. [PMID: 34279911 DOI: 10.1021/acschembio.1c00318] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Actinobacteria have been a rich source of novel, structurally complex natural products for many decades. Although the largest genus is Streptomyces, from which the majority of antibiotics in current and past clinical use were originally isolated, other less common genera also have the potential to produce a wealth of novel secondary metabolites. One example is the Kutzneria genus, which currently contains only five reported species. One of these species is Kutzneria albida DSM 43870T, which has 46 predicted biosynthetic gene clusters and is known to produce the macrolide antibiotic aculeximycin. Here, we report the isolation and structural characterization of two novel 30-membered glycosylated macrolides, epemicins A and B, that are structurally related to aculeximycin, from a rare Kutzneria sp. The absolute configuration for all chiral centers in the two compounds is proposed based on extensive 1D and 2D NMR studies and bioinformatics analysis of the gene cluster. Through heterologous expression and genetic inactivation, we have confirmed the link between the biosynthetic gene cluster and the new molecules. These findings show the potential of rare Actinobacteria to produce new, structurally diverse metabolites. Furthermore, the gene inactivation represents the first published report to genetically manipulate a representative of the Kutzneria genus.
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Affiliation(s)
- Eftychia Eva Kontou
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet bygning 220, 2800 Kgs. Lyngby, Denmark
| | - Tetiana Gren
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet bygning 220, 2800 Kgs. Lyngby, Denmark
| | - Francisco Javier Ortiz-López
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avenida del Conocimiento, 34 Parque Tecnológico de Ciencias de la Salud, 18016 Armilla, Granada, Spain
| | - Emil Thomsen
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet bygning 220, 2800 Kgs. Lyngby, Denmark
| | - Daniel Oves-Costales
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avenida del Conocimiento, 34 Parque Tecnológico de Ciencias de la Salud, 18016 Armilla, Granada, Spain
| | - Caridad Díaz
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avenida del Conocimiento, 34 Parque Tecnológico de Ciencias de la Salud, 18016 Armilla, Granada, Spain
| | - Mercedes de la Cruz
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avenida del Conocimiento, 34 Parque Tecnológico de Ciencias de la Salud, 18016 Armilla, Granada, Spain
| | - Xinglin Jiang
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet bygning 220, 2800 Kgs. Lyngby, Denmark
| | - Tue Sparholt Jørgensen
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet bygning 220, 2800 Kgs. Lyngby, Denmark
| | - Kai Blin
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet bygning 220, 2800 Kgs. Lyngby, Denmark
| | - Pep Charusanti
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet bygning 220, 2800 Kgs. Lyngby, Denmark
| | - Fernando Reyes
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avenida del Conocimiento, 34 Parque Tecnológico de Ciencias de la Salud, 18016 Armilla, Granada, Spain
| | - Olga Genilloud
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Avenida del Conocimiento, 34 Parque Tecnológico de Ciencias de la Salud, 18016 Armilla, Granada, Spain
| | - Tilmann Weber
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet bygning 220, 2800 Kgs. Lyngby, Denmark
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14
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Alanin KWS, Jørgensen TS, Browne PD, Petersen B, Riber L, Kot W, Hansen LH. An improved direct metamobilome approach increases the detection of larger-sized circular elements across kingdoms. Plasmid 2021; 115:102576. [PMID: 33872684 DOI: 10.1016/j.plasmid.2021.102576] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/12/2021] [Accepted: 04/12/2021] [Indexed: 10/21/2022]
Abstract
Mobile genetic elements (MGEs) are instrumental in natural prokaryotic genome editing, permitting genome plasticity and allowing microbes to accumulate genetic diversity. MGEs serve as a vast communal gene pool and include DNA elements such as plasmids and bacteriophages (phages) among others. These mobile DNA elements represent a human health risk as they can introduce new traits, such as antibiotic resistance or virulence, to a bacterial strain. Sequencing libraries targeting environmental circular MGEs, referred to as metamobilomes, may broaden our current understanding of the mechanisms behind the mobility, prevalence and content of these elements. However, metamobilomics is affected by a severe bias towards small circular elements, introduced by multiple displacement amplification (MDA). MDA is typically used to overcome limiting DNA quantities after the removal of non-circular DNA during library preparations. By examining the relationship between sequencing coverage and the size of circular MGEs in paired metamobilome datasets with and without MDA, we show that larger circular elements are lost when using MDA. This study is the first to systematically demonstrate that MDA is detrimental to detecting larger-sized plasmids if small plasmids are present. It is also the first to show that MDA can be omitted when using enzyme-based DNA fragmentation and PCR in library preparation kits such as Nextera XT® from Illumina.
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Affiliation(s)
- Katrine Wacenius Skov Alanin
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Department of Plant and Environmental Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tue Sparholt Jørgensen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark; Department of Science and Environment, Roskilde University, Denmark
| | - Patrick Denis Browne
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Department of Plant and Environmental Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bent Petersen
- Globe Institute, Faculty of Health and Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark; Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
| | - Leise Riber
- Department of Biology, Functional Genomics, University of Copenhagen, Copenhagen, Denmark
| | - Witold Kot
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Department of Plant and Environmental Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Lars Hestbjerg Hansen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Department of Plant and Environmental Sciences, University of Copenhagen, Copenhagen, Denmark.
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15
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Kiesewalter HT, Lozano-Andrade CN, Maróti G, Snyder D, Cooper VS, Jørgensen TS, Weber T, Kovács ÁT. Complete Genome Sequences of 13 Bacillus subtilis Soil Isolates for Studying Secondary Metabolite Diversity. Microbiol Resour Announc 2020; 9:e01406-19. [PMID: 31919181 PMCID: PMC6952667 DOI: 10.1128/mra.01406-19] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 12/10/2019] [Indexed: 02/07/2023] Open
Abstract
Bacillus subtilis is a plant-benefiting soil-dwelling Gram-positive bacterium with secondary metabolite production potential. Here, we report the complete genome sequences of 13 B. subtilis strains isolated from different soil samples in Germany and Denmark.
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Affiliation(s)
- Heiko T Kiesewalter
- Bacterial Interactions and Evolution Group, DTU Bioengineering, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Carlos N Lozano-Andrade
- Bacterial Interactions and Evolution Group, DTU Bioengineering, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Gergely Maróti
- Institute of Plant Biology, Biological Research Center of the Hungarian Academy of Sciences, Szeged, Hungary
| | - Dan Snyder
- Microbial Genome Sequencing Center, Pittsburgh, Pennsylvania, USA
| | - Vaughn S Cooper
- Microbial Genome Sequencing Center, Pittsburgh, Pennsylvania, USA
- Department of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Tue Sparholt Jørgensen
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Tilmann Weber
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Ákos T Kovács
- Bacterial Interactions and Evolution Group, DTU Bioengineering, Technical University of Denmark, Kongens Lyngby, Denmark
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16
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Browne PD, Kot W, Jørgensen TS, Hansen LH. The Mobilome: Metagenomic Analysis of Circular Plasmids, Viruses, and Other Extrachromosomal Elements. Methods Mol Biol 2020; 2075:253-264. [PMID: 31584168 DOI: 10.1007/978-1-4939-9877-7_18] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
Isolation, sequencing, and analysis of circular genetic elements bring new insights to mobile genetic elements related to microbial ecology. One method used to study circular plasmids, viruses, and other elements is called the mobilome method. The mobilome method presented here is an unamplified mobilome approach allowing fast isolation of circular DNA elements from a variety of samples followed by directly building unamplified Illumina-compatible sequencing libraries using enzymatic tagging and fragmentation. Several methods for bioinformatic analysis of mobilome data are also suggested.
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Affiliation(s)
- Patrick Denis Browne
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Witold Kot
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Tue Sparholt Jørgensen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Department of Science and Environment, Roskilde University, Roskilde, Denmark
- DTU BIOSUSTAIN, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Lars Hestbjerg Hansen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark.
- Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg, Denmark.
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17
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Jørgensen TS, Petersen B, Petersen HCB, Browne PD, Prost S, Stillman JH, Hansen LH, Hansen BW. The Genome and mRNA Transcriptome of the Cosmopolitan Calanoid Copepod Acartia tonsa Dana Improve the Understanding of Copepod Genome Size Evolution. Genome Biol Evol 2019; 11:1440-1450. [PMID: 30918947 PMCID: PMC6526698 DOI: 10.1093/gbe/evz067] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/26/2019] [Indexed: 11/14/2022] Open
Abstract
Members of the crustacean subclass Copepoda are likely the most abundant metazoans worldwide. Pelagic marine species are critical in converting planktonic microalgae to animal biomass, supporting oceanic food webs. Despite their abundance and ecological importance, only six copepod genomes are publicly available, owing to a number of factors including large genome size, repetitiveness, GC-content, and small animal size. Here, we report the seventh representative copepod genome and the first genome and the first transcriptome from the calanoid copepod species Acartia tonsa Dana, which is among the most numerous mesozooplankton in boreal coastal and estuarine waters. The ecology, physiology, and behavior of A. tonsa have been studied extensively. The genetic resources contributed in this work will allow researchers to link experimental results to molecular mechanisms. From PCR-free whole genome sequence and mRNA Illumina data, we assemble the largest copepod genome to date. We estimate that A. tonsa has a total genome size of 2.5 Gb including repetitive elements we could not resolve. The nonrepetitive fraction of the genome assembly is estimated to be 566 Mb. Our DNA sequencing-based analyses suggest there is a 14-fold difference in genome size between the six members of Copepoda with available genomic information. This finding complements nucleus staining genome size estimations, where 100-fold difference has been reported within 70 species. We briefly analyze the repeat structure in the existing copepod whole genome sequence data sets. The information presented here confirms the evolution of genome size in Copepoda and expands the scope for evolutionary inferences in Copepoda by providing several levels of genetic information from a key planktonic crustacean species.
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Affiliation(s)
- Tue Sparholt Jørgensen
- Department of Science and Environment, Roskilde University, Denmark
- Department of Environmental Science – Environmental Microbiology and Biotechnology, Aarhus University, Roskilde, Denmark
| | - Bent Petersen
- Natural History Museum of Denmark, University of Copenhagen, Denmark
- Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
| | | | - Patrick Denis Browne
- Department of Environmental Science – Environmental Microbiology and Biotechnology, Aarhus University, Roskilde, Denmark
| | - Stefan Prost
- Department of Integrative Biology and Evolution, Research Institute of Wildlife Ecology, University of Veterinary Medicine, Vienna, Austria
- Department of Integrative Biology, University of California, Berkeley
- National Zoological Garden, South African National Biodiversity Institute, Pretoria, South Africa
| | - Jonathon H Stillman
- Department of Integrative Biology, University of California, Berkeley
- Estuary and Ocean Science Center, San Francisco State University, Tiburon, California
| | - Lars Hestbjerg Hansen
- Department of Environmental Science – Environmental Microbiology and Biotechnology, Aarhus University, Roskilde, Denmark
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18
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Nielsen BLH, Gøtterup L, Jørgensen TS, Hansen BW, Hansen LH, Mortensen J, Jepsen PM. n-3 PUFA biosynthesis by the copepod Apocyclops royi documented using fatty acid profile analysis and gene expression analysis. Biol Open 2019; 8:bio.038331. [PMID: 30723075 PMCID: PMC6398464 DOI: 10.1242/bio.038331] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The cyclopoid copepod Apocyclops royi (Lindberg 1940) is one of two dominant mesozooplankton species in brackish Taiwanese aquaculture ponds. Periodically low n-3 polyunsaturated fatty acid (PUFA) content in seston could potentially be a limiting factor for zooplankton diversity. Apocyclops royi’s potential ability to biosynthesize n-3 PUFA was investigated through a short-term feeding experiment on four species of microalgae. Furthermore, we analyzed the expression of genes encoding putative fatty acid elongase (ELO) and desaturase (FAD) enzymes in A. royi on long-term diets of the PUFA-poor Dunaliella tertiolecta and the PUFA-rich Isochrysis galbana. The copepods exhibited high contents of docosahexaenoic acid (DHA, C22:6n-3) (>20% of total fatty acid) even when DHA-starved for two generations, and no significant differences were found in absolute DHA content between treatments. Transcripts correlating to the four enzymes Elovl4, Elovl5, Fad Δ5 and Fad Δ6 in the n-3 PUFA biosynthetic pathway were identified. Gene expression analysis revealed a significantly higher expression of two desaturases similar to Fad Δ6 in copepods fed PUFA-lacking algae compared to copepods fed algae with high PUFA content. These findings suggest a highly active n-3 PUFA biosynthesis and capability of DHA production in A. royi when fed low-PUFA diets. Summary: Here, we demonstrate n-3 PUFA biosynthesis in the copepod Apocyclops royi from Taiwanese aquaculture pond systems using fatty acid profiling and gene expression analysis.
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Affiliation(s)
| | - Louise Gøtterup
- Roskilde University, Department of Science and Environment, Roskilde DK-4000, Denmark
| | | | - Benni Winding Hansen
- Roskilde University, Department of Science and Environment, Roskilde DK-4000, Denmark
| | | | - John Mortensen
- Roskilde University, Department of Science and Environment, Roskilde DK-4000, Denmark
| | - Per Meyer Jepsen
- Roskilde University, Department of Science and Environment, Roskilde DK-4000, Denmark
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19
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Jørgensen TS, Jepsen PM, Petersen HCB, Friis DS, Hansen BW. Eggs of the copepod Acartia tonsa Dana require hypoxic conditions to tolerate prolonged embryonic development arrest. BMC Ecol 2019; 19:1. [PMID: 30646885 PMCID: PMC6332675 DOI: 10.1186/s12898-018-0217-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Accepted: 12/24/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Copepods make up the largest zooplankton biomass in coastal areas and estuaries and are pivotal for the normal development of fish larva of countless species. During spring in neritic boreal waters, the copepod pelagic biomass increases rapidly from near absence during winter. In the calanoid species Acartia tonsa, a small fraction of eggs are dormant regardless of external conditions and this has been hypothesized to be crucial for sediment egg banks and for the rapid biomass increase during spring. Other eggs can enter a state of induced arrest called quiescence when external conditions are unfavourable. While temperature is known to be a pivotal factor in the transition from developing to resting eggs and back, the role of pH and free Oxygen in embryo development has not been systematically investigated. RESULTS Here, we show in a laboratory setting that hypoxic conditions are necessary for resting eggs to maintain a near-intact rate of survival after several months of induced resting. We further investigate the influence of pH that is realistic for natural sediments on the viability of resting eggs and document the effect that eggs have on the pH of the surrounding environment. We find that resting eggs acidify their immediate surroundings and are able to survive in a wide range of pH. CONCLUSIONS This is the first study to demonstrate the importance of hypoxia on the survival capabilities of A. tonsa resting eggs in a controlled laboratory setting, and the first to show that the large majority of quiescent eggs are able to tolerate prolonged resting. These findings have large implications for the understanding of the recruitment of copepods from sediment egg banks, which are considered the primary contributor of nauplii seeded to pelagic populations in nearshore habitats in late spring.
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Affiliation(s)
- Tue Sparholt Jørgensen
- Department of Science and Environment, Roskilde University, Roskilde, Denmark. .,Department of Environmental Science-Environmental Microbiology & Biotechnology, Aarhus University, Roskilde, Denmark.
| | - Per Meyer Jepsen
- Department of Science and Environment, Roskilde University, Roskilde, Denmark
| | | | - Dennis Steven Friis
- Department of Science and Environment, Roskilde University, Roskilde, Denmark
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20
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Glintborg B, Lindström U, Aaltonen K, Kristianslund EK, Gudbjornsson B, Chatzidionysiou K, Askling J, Nordström D, Hetland ML, Di Giuseppe D, Dreyer L, Kristensen LE, Jørgensen TS, Eklund K, Grondal G, Ernestam S, Joensuu J, Törmänen MRK, Skydsgaard H, Hagfors J, Kvien TK, Lie E, Fagerli K, Geirsson AJ, Jonsson H, Provan SA, Krogh NS, Jacobsson LTH. Biological treatment in ankylosing spondylitis in the Nordic countries during 2010–2016: a collaboration between five biological registries. Scand J Rheumatol 2018; 47:465-474. [DOI: 10.1080/03009742.2018.1444199] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Affiliation(s)
- B Glintborg
- Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Rigshospitalet, Glostrup, Denmark
- Department of Rheumatology, Gentofte Hospital, Center for Rheumatology and Spine Diseases, Rigshospitalet, Copenhagen, Denmark
| | - U Lindström
- Department of Rheumatology and Inflammation Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - K Aaltonen
- Pharmaceuticals Pricing Board, Ministry of Social Affairs and Health, Helsinki, Finland
| | - EK Kristianslund
- Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway
| | - B Gudbjornsson
- Centre for Rheumatology Research, University Hospital and Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - K Chatzidionysiou
- Clinical Epidemiology Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - J Askling
- Clinical Epidemiology Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - D Nordström
- Department of Medicine, Helsinki University and Helsinki University Hospital, Helsinki, Finland
| | - ML Hetland
- Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Rigshospitalet, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - D Di Giuseppe
- Clinical Epidemiology Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - L Dreyer
- Department of Rheumatology, Gentofte Hospital, Center for Rheumatology and Spine Diseases, Rigshospitalet, Copenhagen, Denmark
| | - LE Kristensen
- The Parker Institute, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Denmark
| | - TS Jørgensen
- The Parker Institute, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Denmark
| | - K Eklund
- Department of Rheumatology, Helsinki University and Helsinki University Hospital, Helsinki, Finland
| | - G Grondal
- Department of Rheumatology, University Hospital and Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - S Ernestam
- Clinical Epidemiology Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - J Joensuu
- Faculty of Pharmacy, University of Helsinki, Helsinki,Finland
| | - MRK Törmänen
- Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland
| | - H Skydsgaard
- The Danish Rheumatism Association, Copenhagen, Denmark
| | - J Hagfors
- Norwegian Rheumatism Association, Oslo, Norway
| | - TK Kvien
- Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway
| | - E Lie
- Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway
| | - K Fagerli
- Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway
| | - AJ Geirsson
- Department of Rheumatology, University Hospital and Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - H Jonsson
- Department of Rheumatology, University Hospital and Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - SA Provan
- Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway
| | | | - LTH Jacobsson
- Department of Rheumatology and Inflammation Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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21
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Sczyrba A, Hofmann P, Belmann P, Koslicki D, Janssen S, Dröge J, Gregor I, Majda S, Fiedler J, Dahms E, Bremges A, Fritz A, Garrido-Oter R, Jørgensen TS, Shapiro N, Blood PD, Gurevich A, Bai Y, Turaev D, DeMaere MZ, Chikhi R, Nagarajan N, Quince C, Meyer F, Balvočiūtė M, Hansen LH, Sørensen SJ, Chia BKH, Denis B, Froula JL, Wang Z, Egan R, Don Kang D, Cook JJ, Deltel C, Beckstette M, Lemaitre C, Peterlongo P, Rizk G, Lavenier D, Wu YW, Singer SW, Jain C, Strous M, Klingenberg H, Meinicke P, Barton MD, Lingner T, Lin HH, Liao YC, Silva GGZ, Cuevas DA, Edwards RA, Saha S, Piro VC, Renard BY, Pop M, Klenk HP, Göker M, Kyrpides NC, Woyke T, Vorholt JA, Schulze-Lefert P, Rubin EM, Darling AE, Rattei T, McHardy AC. Critical Assessment of Metagenome Interpretation-a benchmark of metagenomics software. Nat Methods 2017; 14:1063-1071. [PMID: 28967888 DOI: 10.1101/099127] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2016] [Accepted: 08/25/2017] [Indexed: 05/25/2023]
Abstract
Methods for assembly, taxonomic profiling and binning are key to interpreting metagenome data, but a lack of consensus about benchmarking complicates performance assessment. The Critical Assessment of Metagenome Interpretation (CAMI) challenge has engaged the global developer community to benchmark their programs on highly complex and realistic data sets, generated from ∼700 newly sequenced microorganisms and ∼600 novel viruses and plasmids and representing common experimental setups. Assembly and genome binning programs performed well for species represented by individual genomes but were substantially affected by the presence of related strains. Taxonomic profiling and binning programs were proficient at high taxonomic ranks, with a notable performance decrease below family level. Parameter settings markedly affected performance, underscoring their importance for program reproducibility. The CAMI results highlight current challenges but also provide a roadmap for software selection to answer specific research questions.
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Affiliation(s)
- Alexander Sczyrba
- Faculty of Technology, Bielefeld University, Bielefeld, Germany
- Center for Biotechnology, Bielefeld University, Bielefeld, Germany
| | - Peter Hofmann
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
| | - Peter Belmann
- Faculty of Technology, Bielefeld University, Bielefeld, Germany
- Center for Biotechnology, Bielefeld University, Bielefeld, Germany
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
| | - David Koslicki
- Mathematics Department, Oregon State University, Corvallis, Oregon, USA
| | - Stefan Janssen
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
- Department of Pediatrics, University of California, San Diego, California, USA
- Department of Computer Science and Engineering, University of California, San Diego, California, USA
| | - Johannes Dröge
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
| | - Ivan Gregor
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
| | - Stephan Majda
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany
| | - Jessika Fiedler
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
| | - Eik Dahms
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
| | - Andreas Bremges
- Faculty of Technology, Bielefeld University, Bielefeld, Germany
- Center for Biotechnology, Bielefeld University, Bielefeld, Germany
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
- German Center for Infection Research (DZIF), partner site Hannover-Braunschweig, Braunschweig, Germany
| | - Adrian Fritz
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
| | - Ruben Garrido-Oter
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
- Department of Plant Microbe Interactions, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS)
| | - Tue Sparholt Jørgensen
- Department of Environmental Science, Section of Environmental microbiology and Biotechnology, Aarhus University, Roskilde, Denmark
- Department of Microbiology, University of Copenhagen, Copenhagen, Denmark
- Department of Science and Environment, Roskilde University, Roskilde, Denmark
| | - Nicole Shapiro
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | - Philip D Blood
- Pittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
| | - Alexey Gurevich
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia
| | - Yang Bai
- Department of Plant Microbe Interactions, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Dmitrij Turaev
- Department of Microbiology and Ecosystem Science, University of Vienna, Vienna, Austria
| | - Matthew Z DeMaere
- The ithree institute, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Rayan Chikhi
- Department of Computer Science, Research Center in Computer Science (CRIStAL), Signal and Automatic Control of Lille, Lille, France
- National Centre of the Scientific Research (CNRS), Rennes, France
| | - Niranjan Nagarajan
- Department of Computational and Systems Biology, Genome Institute of Singapore, Singapore
| | - Christopher Quince
- Department of Microbiology and Infection, Warwick Medical School, University of Warwick, Coventry, UK
| | - Fernando Meyer
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
| | - Monika Balvočiūtė
- Department of Computer Science, University of Tuebingen, Tuebingen, Germany
| | - Lars Hestbjerg Hansen
- Department of Environmental Science, Section of Environmental microbiology and Biotechnology, Aarhus University, Roskilde, Denmark
| | - Søren J Sørensen
- Department of Microbiology, University of Copenhagen, Copenhagen, Denmark
| | - Burton K H Chia
- Department of Computational and Systems Biology, Genome Institute of Singapore, Singapore
| | - Bertrand Denis
- Department of Computational and Systems Biology, Genome Institute of Singapore, Singapore
| | - Jeff L Froula
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | - Zhong Wang
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | - Robert Egan
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | - Dongwan Don Kang
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | | | - Charles Deltel
- GenScale-Bioinformatics Research Team, Inria Rennes-Bretagne Atlantique Research Centre, Rennes, France
- Institute of Research in Informatics and Random Systems (IRISA), Rennes, France
| | - Michael Beckstette
- Department of Molecular Infection Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Claire Lemaitre
- GenScale-Bioinformatics Research Team, Inria Rennes-Bretagne Atlantique Research Centre, Rennes, France
- Institute of Research in Informatics and Random Systems (IRISA), Rennes, France
| | - Pierre Peterlongo
- GenScale-Bioinformatics Research Team, Inria Rennes-Bretagne Atlantique Research Centre, Rennes, France
- Institute of Research in Informatics and Random Systems (IRISA), Rennes, France
| | - Guillaume Rizk
- Institute of Research in Informatics and Random Systems (IRISA), Rennes, France
- Algorizk-IT consulting and software systems, Paris, France
| | - Dominique Lavenier
- National Centre of the Scientific Research (CNRS), Rennes, France
- Institute of Research in Informatics and Random Systems (IRISA), Rennes, France
| | - Yu-Wei Wu
- Joint BioEnergy Institute, Emeryville, California, USA
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Steven W Singer
- Joint BioEnergy Institute, Emeryville, California, USA
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Chirag Jain
- School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Marc Strous
- Energy Engineering and Geomicrobiology, University of Calgary, Calgary, Alberta, Canada
| | - Heiner Klingenberg
- Department of Bioinformatics, Institute for Microbiology and Genetics, University of Goettingen, Goettingen, Germany
| | - Peter Meinicke
- Department of Bioinformatics, Institute for Microbiology and Genetics, University of Goettingen, Goettingen, Germany
| | - Michael D Barton
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | | | - Hsin-Hung Lin
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan Town, Taiwan
| | - Yu-Chieh Liao
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan Town, Taiwan
| | | | - Daniel A Cuevas
- Computational Science Research Center, San Diego State University, San Diego, California, USA
| | - Robert A Edwards
- Computational Science Research Center, San Diego State University, San Diego, California, USA
| | - Surya Saha
- Boyce Thompson Institute for Plant Research, New York, New York, USA
| | - Vitor C Piro
- Research Group Bioinformatics (NG4), Robert Koch Institute, Berlin, Germany
- Coordination for the Improvement of Higher Education Personnel (CAPES) Foundation, Ministry of Education of Brazil, Brasília, Brazil
| | - Bernhard Y Renard
- Research Group Bioinformatics (NG4), Robert Koch Institute, Berlin, Germany
| | - Mihai Pop
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, USA
- Department of Computer Science, University of Maryland, College Park, Maryland, USA
| | - Hans-Peter Klenk
- School of Biology, Newcastle University, Newcastle upon Tyne, UK
| | - Markus Göker
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Nikos C Kyrpides
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | - Tanja Woyke
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | | | - Paul Schulze-Lefert
- Department of Plant Microbe Interactions, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS)
| | - Edward M Rubin
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | - Aaron E Darling
- The ithree institute, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Thomas Rattei
- Department of Microbiology and Ecosystem Science, University of Vienna, Vienna, Austria
| | - Alice C McHardy
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
- Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS)
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22
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Sczyrba A, Hofmann P, Belmann P, Koslicki D, Janssen S, Dröge J, Gregor I, Majda S, Fiedler J, Dahms E, Bremges A, Fritz A, Garrido-Oter R, Jørgensen TS, Shapiro N, Blood PD, Gurevich A, Bai Y, Turaev D, DeMaere MZ, Chikhi R, Nagarajan N, Quince C, Meyer F, Balvočiūtė M, Hansen LH, Sørensen SJ, Chia BKH, Denis B, Froula JL, Wang Z, Egan R, Don Kang D, Cook JJ, Deltel C, Beckstette M, Lemaitre C, Peterlongo P, Rizk G, Lavenier D, Wu YW, Singer SW, Jain C, Strous M, Klingenberg H, Meinicke P, Barton MD, Lingner T, Lin HH, Liao YC, Silva GGZ, Cuevas DA, Edwards RA, Saha S, Piro VC, Renard BY, Pop M, Klenk HP, Göker M, Kyrpides NC, Woyke T, Vorholt JA, Schulze-Lefert P, Rubin EM, Darling AE, Rattei T, McHardy AC. Critical Assessment of Metagenome Interpretation-a benchmark of metagenomics software. Nat Methods 2017; 14:1063-1071. [PMID: 28967888 DOI: 10.1038/nmeth.4458] [Citation(s) in RCA: 430] [Impact Index Per Article: 61.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2016] [Accepted: 08/25/2017] [Indexed: 12/12/2022]
Abstract
Methods for assembly, taxonomic profiling and binning are key to interpreting metagenome data, but a lack of consensus about benchmarking complicates performance assessment. The Critical Assessment of Metagenome Interpretation (CAMI) challenge has engaged the global developer community to benchmark their programs on highly complex and realistic data sets, generated from ∼700 newly sequenced microorganisms and ∼600 novel viruses and plasmids and representing common experimental setups. Assembly and genome binning programs performed well for species represented by individual genomes but were substantially affected by the presence of related strains. Taxonomic profiling and binning programs were proficient at high taxonomic ranks, with a notable performance decrease below family level. Parameter settings markedly affected performance, underscoring their importance for program reproducibility. The CAMI results highlight current challenges but also provide a roadmap for software selection to answer specific research questions.
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Affiliation(s)
- Alexander Sczyrba
- Faculty of Technology, Bielefeld University, Bielefeld, Germany.,Center for Biotechnology, Bielefeld University, Bielefeld, Germany
| | - Peter Hofmann
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany.,Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
| | - Peter Belmann
- Faculty of Technology, Bielefeld University, Bielefeld, Germany.,Center for Biotechnology, Bielefeld University, Bielefeld, Germany.,Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
| | - David Koslicki
- Mathematics Department, Oregon State University, Corvallis, Oregon, USA
| | - Stefan Janssen
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.,Department of Pediatrics, University of California, San Diego, California, USA.,Department of Computer Science and Engineering, University of California, San Diego, California, USA
| | - Johannes Dröge
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany.,Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
| | - Ivan Gregor
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany.,Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
| | - Stephan Majda
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany
| | - Jessika Fiedler
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany.,Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
| | - Eik Dahms
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany.,Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
| | - Andreas Bremges
- Faculty of Technology, Bielefeld University, Bielefeld, Germany.,Center for Biotechnology, Bielefeld University, Bielefeld, Germany.,Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany.,German Center for Infection Research (DZIF), partner site Hannover-Braunschweig, Braunschweig, Germany
| | - Adrian Fritz
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
| | - Ruben Garrido-Oter
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany.,Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany.,Department of Plant Microbe Interactions, Max Planck Institute for Plant Breeding Research, Cologne, Germany.,Cluster of Excellence on Plant Sciences (CEPLAS)
| | - Tue Sparholt Jørgensen
- Department of Environmental Science, Section of Environmental microbiology and Biotechnology, Aarhus University, Roskilde, Denmark.,Department of Microbiology, University of Copenhagen, Copenhagen, Denmark.,Department of Science and Environment, Roskilde University, Roskilde, Denmark
| | - Nicole Shapiro
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | - Philip D Blood
- Pittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
| | - Alexey Gurevich
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia
| | - Yang Bai
- Department of Plant Microbe Interactions, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Dmitrij Turaev
- Department of Microbiology and Ecosystem Science, University of Vienna, Vienna, Austria
| | - Matthew Z DeMaere
- The ithree institute, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Rayan Chikhi
- Department of Computer Science, Research Center in Computer Science (CRIStAL), Signal and Automatic Control of Lille, Lille, France.,National Centre of the Scientific Research (CNRS), Rennes, France
| | - Niranjan Nagarajan
- Department of Computational and Systems Biology, Genome Institute of Singapore, Singapore
| | - Christopher Quince
- Department of Microbiology and Infection, Warwick Medical School, University of Warwick, Coventry, UK
| | - Fernando Meyer
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany
| | - Monika Balvočiūtė
- Department of Computer Science, University of Tuebingen, Tuebingen, Germany
| | - Lars Hestbjerg Hansen
- Department of Environmental Science, Section of Environmental microbiology and Biotechnology, Aarhus University, Roskilde, Denmark
| | - Søren J Sørensen
- Department of Microbiology, University of Copenhagen, Copenhagen, Denmark
| | - Burton K H Chia
- Department of Computational and Systems Biology, Genome Institute of Singapore, Singapore
| | - Bertrand Denis
- Department of Computational and Systems Biology, Genome Institute of Singapore, Singapore
| | - Jeff L Froula
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | - Zhong Wang
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | - Robert Egan
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | - Dongwan Don Kang
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | | | - Charles Deltel
- GenScale-Bioinformatics Research Team, Inria Rennes-Bretagne Atlantique Research Centre, Rennes, France.,Institute of Research in Informatics and Random Systems (IRISA), Rennes, France
| | - Michael Beckstette
- Department of Molecular Infection Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Claire Lemaitre
- GenScale-Bioinformatics Research Team, Inria Rennes-Bretagne Atlantique Research Centre, Rennes, France.,Institute of Research in Informatics and Random Systems (IRISA), Rennes, France
| | - Pierre Peterlongo
- GenScale-Bioinformatics Research Team, Inria Rennes-Bretagne Atlantique Research Centre, Rennes, France.,Institute of Research in Informatics and Random Systems (IRISA), Rennes, France
| | - Guillaume Rizk
- Institute of Research in Informatics and Random Systems (IRISA), Rennes, France.,Algorizk-IT consulting and software systems, Paris, France
| | - Dominique Lavenier
- National Centre of the Scientific Research (CNRS), Rennes, France.,Institute of Research in Informatics and Random Systems (IRISA), Rennes, France
| | - Yu-Wei Wu
- Joint BioEnergy Institute, Emeryville, California, USA.,Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Steven W Singer
- Joint BioEnergy Institute, Emeryville, California, USA.,Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Chirag Jain
- School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Marc Strous
- Energy Engineering and Geomicrobiology, University of Calgary, Calgary, Alberta, Canada
| | - Heiner Klingenberg
- Department of Bioinformatics, Institute for Microbiology and Genetics, University of Goettingen, Goettingen, Germany
| | - Peter Meinicke
- Department of Bioinformatics, Institute for Microbiology and Genetics, University of Goettingen, Goettingen, Germany
| | - Michael D Barton
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | | | - Hsin-Hung Lin
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan Town, Taiwan
| | - Yu-Chieh Liao
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan Town, Taiwan
| | | | - Daniel A Cuevas
- Computational Science Research Center, San Diego State University, San Diego, California, USA
| | - Robert A Edwards
- Computational Science Research Center, San Diego State University, San Diego, California, USA
| | - Surya Saha
- Boyce Thompson Institute for Plant Research, New York, New York, USA
| | - Vitor C Piro
- Research Group Bioinformatics (NG4), Robert Koch Institute, Berlin, Germany.,Coordination for the Improvement of Higher Education Personnel (CAPES) Foundation, Ministry of Education of Brazil, Brasília, Brazil
| | - Bernhard Y Renard
- Research Group Bioinformatics (NG4), Robert Koch Institute, Berlin, Germany
| | - Mihai Pop
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, USA.,Department of Computer Science, University of Maryland, College Park, Maryland, USA
| | - Hans-Peter Klenk
- School of Biology, Newcastle University, Newcastle upon Tyne, UK
| | - Markus Göker
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Nikos C Kyrpides
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | - Tanja Woyke
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | | | - Paul Schulze-Lefert
- Department of Plant Microbe Interactions, Max Planck Institute for Plant Breeding Research, Cologne, Germany.,Cluster of Excellence on Plant Sciences (CEPLAS)
| | - Edward M Rubin
- Department of Energy, Joint Genome Institute, Walnut Creek, California, USA
| | - Aaron E Darling
- The ithree institute, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Thomas Rattei
- Department of Microbiology and Ecosystem Science, University of Vienna, Vienna, Austria
| | - Alice C McHardy
- Formerly Department of Algorithmic Bioinformatics, Heinrich Heine University (HHU), Duesseldorf, Germany.,Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.,Braunschweig Integrated Centre of Systems Biology (BRICS), Braunschweig, Germany.,Cluster of Excellence on Plant Sciences (CEPLAS)
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23
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Jørgensen TS, Xu Z, Hansen MA, Sørensen SJ, Hansen LH. Hundreds of circular novel plasmids and DNA elements identified in a rat cecum metamobilome. PLoS One 2014; 9:e87924. [PMID: 24503942 PMCID: PMC3913684 DOI: 10.1371/journal.pone.0087924] [Citation(s) in RCA: 85] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2013] [Accepted: 12/30/2013] [Indexed: 01/09/2023] Open
Abstract
Metagenomic approaches are widespread in microbiological research, but so far, the knowledge on extrachromosomal DNA diversity and composition has largely remained dependant on cultivating host organisms. Even with the emergence of metagenomics, complete circular sequences are rarely identified, and have required manual curation. We propose a robust in silico procedure for identifying complete small plasmids in metagenomic datasets from whole genome shotgun sequencing. From one very pure and exhaustively sequenced metamobilome from rat cecum, we identified a total of 616 circular sequences, 160 of which were carrying a gene with plasmid replication domain. Further homology analyses indicated that the majority of these plasmid sequences are novel. We confirmed the circularity of the complete plasmid candidates using an inverse-type PCR approach on a subset of sequences with 95% success, confirming the existence and length of discrete sequences. The implication of these findings is a broadened understanding of the traits of circular elements in nature and the possibility of massive data mining in existing metagenomic datasets to discover novel pools of complete plasmids thus vastly expanding the current plasmid database.
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Affiliation(s)
| | - Zhuofei Xu
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | | | | | - Lars Hestbjerg Hansen
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Department of Environmental Science, Aarhus Universitet, Roskilde, Denmark
- * E-mail: (SJS); (LHH)
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