Your browser doesn't support javascript.
loading
Unveiling the Microbial Realm with VEBA 2.0: A modular bioinformatics suite for end-to-end genome-resolved prokaryotic, (micro)eukaryotic, and viral multi-omics from either short- or long-read sequencing.
Espinoza, Josh L; Phillips, Allan; Prentice, Melanie B; Tan, Gene S; Kamath, Pauline L; Lloyd, Karen G; Dupont, Chris L.
Affiliation
  • Espinoza JL; Department of Environment and Sustainability, J. Craig Venter Institute, La Jolla, CA 92037, USA.
  • Phillips A; Department of Genomic Medicine and Infectious Diseases, J. Craig Venter Institute, La Jolla, CA 92037, USA.
  • Prentice MB; Department of Environment and Sustainability, J. Craig Venter Institute, La Jolla, CA 92037, USA.
  • Tan GS; Department of Genomic Medicine and Infectious Diseases, J. Craig Venter Institute, La Jolla, CA 92037, USA.
  • Kamath PL; School of Food and Agriculture, University of Maine, Orono, ME 04469, USA.
  • Lloyd KG; Department of Genomic Medicine and Infectious Diseases, J. Craig Venter Institute, La Jolla, CA 92037, USA.
  • Dupont CL; School of Food and Agriculture, University of Maine, Orono, ME 04469, USA.
bioRxiv ; 2024 Mar 11.
Article in En | MEDLINE | ID: mdl-38559265
ABSTRACT
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 Viral Eukaryotic Bacterial Archaeal (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 VEBA 2.0 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 VEBA's 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. VEBA represents a crucial advancement in microbiome research, offering a powerful and accessible platform that bridges the gap between genomics and biotechnological solutions.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Document type: Article Affiliation country: