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      Discovery of novel RNA viruses through analysis of fungi-associated next-generation sequencing data

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          Abstract

          Background

          Like all other species, fungi are susceptible to infection by viruses. The diversity of fungal viruses has been rapidly expanding in recent years due to the availability of advanced sequencing technologies. However, compared to other virome studies, the research on fungi-associated viruses remains limited.

          Results

          In this study, we downloaded and analyzed over 200 public datasets from approximately 40 different Bioprojects to explore potential fungal-associated viral dark matter. A total of 12 novel viral sequences were identified, all of which are RNA viruses, with lengths ranging from 1,769 to 9,516 nucleotides. The amino acid sequence identity of all these viruses with any known virus is below 70%. Through phylogenetic analysis, these RNA viruses were classified into different orders or families, such as Mitoviridae, Benyviridae, Botourmiaviridae, Deltaflexiviridae, Mymonaviridae, Bunyavirales, and Partitiviridae. It is possible that these sequences represent new taxa at the level of family, genus, or species. Furthermore, a co-evolution analysis indicated that the evolutionary history of these viruses within their groups is largely driven by cross-species transmission events.

          Conclusions

          These findings are of significant importance for understanding the diversity, evolution, and relationships between genome structure and function of fungal viruses. However, further investigation is needed to study their interactions.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12864-024-10432-w.

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          Most cited references88

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          Fast gapped-read alignment with Bowtie 2.

          As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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            MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

            The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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              IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era

              Abstract IQ-TREE (http://www.iqtree.org, last accessed February 6, 2020) is a user-friendly and widely used software package for phylogenetic inference using maximum likelihood. Since the release of version 1 in 2014, we have continuously expanded IQ-TREE to integrate a plethora of new models of sequence evolution and efficient computational approaches of phylogenetic inference to deal with genomic data. Here, we describe notable features of IQ-TREE version 2 and highlight the key advantages over other software.
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                Author and article information

                Contributors
                tz_xuj@163.com
                18762340015@njmu.edu.cn
                zhangwen@ujs.edu.cn
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                27 May 2024
                27 May 2024
                2024
                : 25
                : 517
                Affiliations
                [1 ]Institute of Critical Care Medicine, The Affiliated People’s Hospital, Jiangsu University, ( https://ror.org/03jc41j30) Zhenjiang, 212002 China
                [2 ]Department of Microbiology, School of Medicine, Jiangsu University, ( https://ror.org/03jc41j30) Zhenjiang, 212013 China
                [3 ]GRID grid.459351.f, Department of Clinical Laboratory, , Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, ; Yancheng, Jiangsu China
                [4 ]Clinical Laboratory Center, The Affiliated Taizhou People’s Hospital of Nanjing Medical University, ( https://ror.org/02fvevm64) Taizhou, 225300 China
                Article
                10432
                10.1186/s12864-024-10432-w
                11129472
                38797853
                b39d0482-082e-4059-a4a4-fef8332c73f7
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 19 March 2024
                : 20 May 2024
                Funding
                Funded by: National Key Research and Development Programs of China
                Award ID: 2023YFD1801301
                Award Recipient :
                Funded by: National Natural Science Foundation of China
                Award ID: 82341106
                Award Recipient :
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Genetics
                fungi,mycovirus,virus,rna,evolution
                Genetics
                fungi, mycovirus, virus, rna, evolution

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