Espinoza Josh L, Phillips Allan, Prentice Melanie B, Tan Gene S, Kamath Pauline L, Lloyd Karen G, Dupont Chris L
Department of Environment and Sustainability, J. Craig Venter Institute, La Jolla, CA 92037, USA.
Department of Genomic Medicine and Infectious Diseases, J. Craig Venter Institute, La Jolla, CA 92037, USA.
bioRxiv. 2024 Mar 11:2024.03.08.583560. doi: 10.1101/2024.03.08.583560.
The microbiome is a complex community of microorganisms, encompassing prokaryotic (bacterial and archaeal), eukaryotic, and viral entities. This microbial ensemble plays a pivotal role in influencing the health and productivity of diverse ecosystems while shaping the web of life. However, many software suites developed to study microbiomes analyze only the prokaryotic community and provide limited to no support for viruses and microeukaryotes. Previously, we introduced the (VEBA) open-source software suite to address this critical gap in microbiome research by extending genome-resolved analysis beyond prokaryotes to encompass the understudied realms of eukaryotes and viruses. Here we present with key updates including a comprehensive clustered microeukaryotic protein database, rapid genome/protein-level clustering, bioprospecting, non-coding/organelle gene modeling, genome-resolved taxonomic/pathway profiling, long-read support, and containerization. We demonstrate versatile application through the analysis of diverse case studies including marine water, Siberian permafrost, and white-tailed deer lung tissues with the latter showcasing how to identify integrated viruses. represents a crucial advancement in microbiome research, offering a powerful and accessible platform that bridges the gap between genomics and biotechnological solutions.
微生物群落是一个复杂的微生物群体,包括原核生物(细菌和古细菌)、真核生物和病毒实体。这个微生物集合在影响各种生态系统的健康和生产力以及塑造生命之网方面发挥着关键作用。然而,许多用于研究微生物群落的软件套件仅分析原核生物群落,对病毒和微真核生物的支持有限或根本没有支持。此前,我们推出了(VEBA)开源软件套件,通过将基因组解析分析从原核生物扩展到包括研究较少的真核生物和病毒领域,来解决微生物群落研究中的这一关键差距。在这里,我们展示了 软件的关键更新,包括一个全面的聚类微真核生物蛋白质数据库、快速的基因组/蛋白质水平聚类、生物勘探、非编码/细胞器基因建模、基因组解析分类/通路分析、长读长支持和容器化。我们通过对包括海水、西伯利亚永久冻土和白尾鹿肺组织在内的各种案例研究的分析,展示了 软件的多功能应用,其中后者展示了如何识别整合病毒。 代表了微生物群落研究中的一项关键进展,提供了一个强大且易于使用的平台,弥合了基因组学与生物技术解决方案之间的差距。