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Ho SX, Law JH, Png CW, Alberts R, Zhang Y, Chu JJH, Tan KK. Alterations in colorectal cancer virome and its persistence after surgery. Sci Rep 2024; 14:2819. [PMID: 38307921 PMCID: PMC10837111 DOI: 10.1038/s41598-024-53041-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 01/27/2024] [Indexed: 02/04/2024] Open
Abstract
Viruses are a key component of the colon microbiome, but the relationship between virome and colorectal cancer (CRC) remains poorly understood. We seek to identify alterations in the viral community that is characteristic of CRC and examine if they persist after surgery. Forty-nine fecal samples from 25 non-cancer (NC) individuals and 12 CRC patients, before and 6-months after surgery, were collected for metagenomic analysis. The fecal virome of CRC patients demonstrated an increased network connectivity as compared to NC individuals. Co-exclusion of influential viruses to bacterial species associated with healthy gut status was observed in CRC, suggesting an altered virome induced a change in the healthy gut bacteriome. Network analysis revealed lower connectivity within the virome and trans-kingdom interactions in NC. After surgery, the number of strong correlations decreased for trans-kingdom and within the bacteria and virome networks, indicating lower connectivity within the microbiome. Some co-occurrence patterns between dominant viruses and bacteria were also lost after surgery, suggesting a possible return to the healthy state of gut microbiome. Microbial signatures characteristic of CRC include an altered virome besides an altered bacterial composition. Elevated viral correlations and network connectivity were observed in CRC patients relative to healthy individuals, alongside distinct changes in the cross-kingdom correlation network unique to CRC patients. Some patterns of dysbiosis persist after surgery. Future studies should seek to verify if dysbiosis truly persists after surgery in a larger sample size with microbiome data collected at various time points after surgery to explore if there is field-change in the remaining colon, as well as to examine if persistent dysbiosis correlates with patient outcomes.
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Affiliation(s)
- Si Xian Ho
- Laboratory of Molecular RNA Virology and Antiviral Strategies, Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
- Infectious Disease Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
| | - Jia-Hao Law
- Division of Colorectal Surgery, Department of Surgery, National University Hospital, 1E, Kent Ridge Road, NUHS Tower Block, Level 8, Singapore, 119228, Singapore
| | - Chin-Wen Png
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Rudi Alberts
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yongliang Zhang
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Justin Jang Hann Chu
- Laboratory of Molecular RNA Virology and Antiviral Strategies, Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
- Infectious Disease Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
| | - Ker-Kan Tan
- Division of Colorectal Surgery, Department of Surgery, National University Hospital, 1E, Kent Ridge Road, NUHS Tower Block, Level 8, Singapore, 119228, Singapore.
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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Wu S, Feng T, Tang W, Qi C, Gao J, He X, Wang J, Zhou H, Fang Z. metaProbiotics: a tool for mining probiotic from metagenomic binning data based on a language model. Brief Bioinform 2024; 25:bbae085. [PMID: 38487846 PMCID: PMC10940841 DOI: 10.1093/bib/bbae085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/26/2024] [Accepted: 02/15/2024] [Indexed: 03/18/2024] Open
Abstract
Beneficial bacteria remain largely unexplored. Lacking systematic methods, understanding probiotic community traits becomes challenging, leading to various conclusions about their probiotic effects among different publications. We developed language model-based metaProbiotics to rapidly detect probiotic bins from metagenomes, demonstrating superior performance in simulated benchmark datasets. Testing on gut metagenomes from probiotic-treated individuals, it revealed the probioticity of intervention strains-derived bins and other probiotic-associated bins beyond the training data, such as a plasmid-like bin. Analyses of these bins revealed various probiotic mechanisms and bai operon as probiotic Ruminococcaceae's potential marker. In different health-disease cohorts, these bins were more common in healthy individuals, signifying their probiotic role, but relevant health predictions based on the abundance profiles of these bins faced cross-disease challenges. To better understand the heterogeneous nature of probiotics, we used metaProbiotics to construct a comprehensive probiotic genome set from global gut metagenomic data. Module analysis of this set shows that diseased individuals often lack certain probiotic gene modules, with significant variation of the missing modules across different diseases. Additionally, different gene modules on the same probiotic have heterogeneous effects on various diseases. We thus believe that gene function integrity of the probiotic community is more crucial in maintaining gut homeostasis than merely increasing specific gene abundance, and adding probiotics indiscriminately might not boost health. We expect that the innovative language model-based metaProbiotics tool will promote novel probiotic discovery using large-scale metagenomic data and facilitate systematic research on bacterial probiotic effects. The metaProbiotics program can be freely downloaded at https://github.com/zhenchengfang/metaProbiotics.
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Affiliation(s)
- Shufang Wu
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Tao Feng
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Waijiao Tang
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Cancan Qi
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Jie Gao
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- Department of Gastroenterology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaolong He
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Jiaxuan Wang
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Hongwei Zhou
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Zhencheng Fang
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
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Tun HM, Peng Y, Massimino L, Sin ZY, Parigi TL, Facoetti A, Rahman S, Danese S, Ungaro F. Gut virome in inflammatory bowel disease and beyond. Gut 2024; 73:350-360. [PMID: 37949638 PMCID: PMC10850733 DOI: 10.1136/gutjnl-2023-330001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 10/24/2023] [Indexed: 11/12/2023]
Abstract
OBJECTIVE The gut virome is a dense community of viruses inhabiting the gastrointestinal tract and an integral part of the microbiota. The virome coexists with the other components of the microbiota and with the host in a dynamic equilibrium, serving as a key contributor to the maintenance of intestinal homeostasis and functions. However, this equilibrium can be interrupted in certain pathological states, including inflammatory bowel disease, causing dysbiosis that may participate in disease pathogenesis. Nevertheless, whether virome dysbiosis is a causal or bystander event requires further clarification. DESIGN This review seeks to summarise the latest advancements in the study of the gut virome, highlighting its cross-talk with the mucosal microenvironment. It explores how cutting-edge technologies may build upon current knowledge to advance research in this field. An overview of virome transplantation in diseased gastrointestinal tracts is provided along with insights into the development of innovative virome-based therapeutics to improve clinical management. RESULTS Gut virome dysbiosis, primarily driven by the expansion of Caudovirales, has been shown to impact intestinal immunity and barrier functions, influencing overall intestinal homeostasis. Although emerging innovative technologies still need further implementation, they display the unprecedented potential to better characterise virome composition and delineate its role in intestinal diseases. CONCLUSIONS The field of gut virome is progressively expanding, thanks to the advancements of sequencing technologies and bioinformatic pipelines. These have contributed to a better understanding of how virome dysbiosis is linked to intestinal disease pathogenesis and how the modulation of virome composition may help the clinical intervention to ameliorate gut disease management.
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Affiliation(s)
- Hein Min Tun
- Microbiota I-Center (MagIC), Hong Kong SAR, China
- JC School of Public Health and Primary Care, Faculty of medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ye Peng
- Microbiota I-Center (MagIC), Hong Kong SAR, China
- JC School of Public Health and Primary Care, Faculty of medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Luca Massimino
- Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Zhen Ye Sin
- JC School of Public Health and Primary Care, Faculty of medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Tommaso Lorenzo Parigi
- Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele, Milano, Italy
- Università Vita-Salute San Raffaele Facoltà di Medicina e Chirurgia, Milano, Italy
| | - Amanda Facoetti
- Università Vita-Salute San Raffaele Facoltà di Medicina e Chirurgia, Milano, Italy
| | | | - Silvio Danese
- Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele, Milano, Italy
- Università Vita-Salute San Raffaele Facoltà di Medicina e Chirurgia, Milano, Italy
| | - Federica Ungaro
- Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele, Milano, Italy
- Università Vita-Salute San Raffaele Facoltà di Medicina e Chirurgia, Milano, Italy
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Hufsky F, Abecasis AB, Babaian A, Beck S, Brierley L, Dellicour S, Eggeling C, Elena SF, Gieraths U, Ha AD, Harvey W, Jones TC, Lamkiewicz K, Lovate GL, Lücking D, Machyna M, Nishimura L, Nocke MK, Renard BY, Sakaguchi S, Sakellaridi L, Spangenberg J, Tarradas-Alemany M, Triebel S, Vakulenko Y, Wijesekara RY, González-Candelas F, Krautwurst S, Pérez-Cataluña A, Randazzo W, Sánchez G, Marz M. The International Virus Bioinformatics Meeting 2023. Viruses 2023; 15:2031. [PMID: 37896809 PMCID: PMC10612056 DOI: 10.3390/v15102031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/08/2023] [Accepted: 09/14/2023] [Indexed: 10/29/2023] Open
Abstract
The 2023 International Virus Bioinformatics Meeting was held in Valencia, Spain, from 24-26 May 2023, attracting approximately 180 participants worldwide. The primary objective of the conference was to establish a dynamic scientific environment conducive to discussion, collaboration, and the generation of novel research ideas. As the first in-person event following the SARS-CoV-2 pandemic, the meeting facilitated highly interactive exchanges among attendees. It served as a pivotal gathering for gaining insights into the current status of virus bioinformatics research and engaging with leading researchers and emerging scientists. The event comprised eight invited talks, 19 contributed talks, and 74 poster presentations across eleven sessions spanning three days. Topics covered included machine learning, bacteriophages, virus discovery, virus classification, virus visualization, viral infection, viromics, molecular epidemiology, phylodynamic analysis, RNA viruses, viral sequence analysis, viral surveillance, and metagenomics. This report provides rewritten abstracts of the presentations, a summary of the key research findings, and highlights shared during the meeting.
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Affiliation(s)
- Franziska Hufsky
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Ana B. Abecasis
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Global Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, UNL, Rua da Junqueira 100, 1349-008 Lisboa, Portugal
| | - Artem Babaian
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 3E1, Canada
- Donnelly Centre, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Sebastian Beck
- Leibniz Institute of Virology, Department Viral Zoonoses—One Health, 20251 Hamburg, Germany;
| | - Liam Brierley
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Health Data Science, University of Liverpool, Liverpool L69 3GF, UK
| | - Simon Dellicour
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, CP160/12, 50 av. FD Roosevelt, 1050 Bruxelles, Belgium
- Laboratory for Clinical and Epidemiological Virology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, University of Leuven, 3000 Leuven, Belgium
| | - Christian Eggeling
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute of Applied Optics and Biophysics, Friedrich Schiller University Jena, Max-Wien-Platz 1, 07743 Jena, Germany
| | - Santiago F. Elena
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de Valencia, Catedratico Agustin Escardino 9, 46980 Valencia, Spain
| | - Udo Gieraths
- Institute of Virology, Charité, Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Anh D. Ha
- Department of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA
| | - Will Harvey
- The Roslin Institute, University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Terry C. Jones
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute of Virology, Charité, Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
- Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK
| | - Kevin Lamkiewicz
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Gabriel L. Lovate
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Dominik Lücking
- Max-Planck Institute for Marine Microbiology, Celsiusstraße 1, 28359 Bremen, Germany
| | - Martin Machyna
- Paul-Ehrlich-Institut, Host-Pathogen-Interactions, 63225 Langen, Germany
| | - Luca Nishimura
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department of Genetics, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Mishima 411-8540, Japan
- Human Genetics Laboratory, National Institute of Genetics, Mishima 411-8540, Japan
| | - Maximilian K. Nocke
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Department for Molecular & Medical Virology, Ruhr University Bochum, 44801 Bochum, Germany
| | - Bernard Y. Renard
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Digital Engineering Faculty, Hasso Plattner Institute, University of Potsdam, 14482 Potsdam, Germany
| | - Shoichi Sakaguchi
- Department of Microbiology and Infection Control, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Osaka 569-8686, Japan;
| | - Lygeri Sakellaridi
- Institute for Virology and Immunobiology, University of Würzburg, Versbacher Str. 7, 97078 Würzburg, Germany
| | - Jannes Spangenberg
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Maria Tarradas-Alemany
- Computational Genomics Lab., Department of Genetics, Microbiology and Statistics, Institut de Biomedicina UB (IBUB), Universitat de Barcelona (UB), 08028 Barcelona, Spain
| | - Sandra Triebel
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Yulia Vakulenko
- Martsinovsky Institute of Medical Parasitology, Tropical and Vector Borne Diseases, Sechenov First Moscow State Medical University, 119991 Moscow, Russia
| | - Rajitha Yasas Wijesekara
- Institute for Bioinformatics, University of Medicine Greifswald, Felix-Hausdorff-Str. 8, 17475 Greifswald, Germany
| | - Fernando González-Candelas
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- Institute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de Valencia, Catedratico Agustin Escardino 9, 46980 Valencia, Spain
- Joint Research Unit “Infection and Public Health” FISABIO, University of Valencia, 46010 Valencia, Spain
| | - Sarah Krautwurst
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Alba Pérez-Cataluña
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Walter Randazzo
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Gloria Sánchez
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- VISAFELab, Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, 46980 Valencia, Spain
| | - Manja Marz
- European Virus Bioinformatics Center, 07743 Jena, Germany (A.B.A.); (L.B.); (S.D.); (C.E.); (S.F.E.); (T.C.J.); (K.L.); (G.L.L.); (M.K.N.); (B.Y.R.); (F.G.-C.); (A.P.-C.); (W.R.); (G.S.)
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103 Leipzig, Germany
- Michael Stifel Center Jena, Ernst-Abbe-Platz 2, 07743 Jena, Germany
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, 07745 Jena, Germany
- Leibniz Institute for Age Research—Fritz Lippman Institute, 07745 Jena, Germany
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