Prokaryotic-virus-encoded auxiliary metabolic genes throughout the global oceans
Published in Earth & Environment, Ecology & Evolution, and Microbiology
In the decades since sequencing technology and analytic advances have driven a surge in AMG studies across various ecosystems. Yet the lack of a systematically curated AMG catalog remained, thus hindering the integration of viruses into models to quantitatively assess their metabolic and biogeochemical impacts. Fortunately, five years prior to this study, global dsDNA catalog papers began to be published5,6,7, resulting in the identification of over 190,000 dsDNA viruses across the global oceans. For the first time, this presented a global ocean dataset that was deeply sequenced and curated for dsDNA viruses. It was against this backdrop that Funing Tian, then a PhD student in Microbiology who had received a University Fellowship from The Ohio State University, and James Wainaina, having just completed his graduate studies at the University of Western Australia (UWA), began working on this project.

Funing Tian (Left), Zhiping Zhong (Center), and James Wainaina (Right) during a poster presentation of the global AMG catalog work at the Center of Microbiome Science (CoMS) MidWest Conference May 2022
The Ocean AMG project faced numerous challenges. First, despite the increase in AMG studies, the lack of standards for what constitutes a 'bona fide' AMG has prevented cross-study comparisons. This necessitated the development of standards for what could be 'conservatively' assigned as AMGs, a process that took almost a year and was further aided by new analytical tools by Kelly Wrighton lab8. After identifying ~22,000 AMG gene clusters, the second challenge was determining how to narrow down to the most biogeochemical important AMGs,
There are several take-home messages from this paper. Firstly, given the avalanche of data from large consortia such as the Tara Ocean Expedition, it is crucial to have a systematic and scalable approach for analyzing the data and enabling cross-study comparisons. Secondly, reliable, updated, and maintained viral ecogenomics tools will be essential for continuously exploring and advancing omic data sets, especially within the marine ecosystem. Finally, this study would not have been possible without cross-disciplinary collaboration, teamwork, dogged determination despite scientific challenges, and an unwavering spirit; this was particularly important as it took over four years to get this work to publication.
What does the future hold for us, Funing Tian, now Dr. Tian is currently a Bioinformatician at the University of Chicago, where she focuses on bioinformatics analysis of single-cell multi-omics sequencing for asthma research. James has started his research group at the Woods Hole Oceanographic Institution Biology Department, where he continues exploring the ecology and evolution of marine viruses with a particular focus on corals.
1. Sullivan, M. B. et al. Prevalence and Evolution of Core Photosystem II Genes in Marine Cyanobacterial Viruses and Their Hosts. PLoS Biol. 4, e234 (2006).
2. Lindell, D. et al. Transfer of photosynthesis genes to and from Prochlorococcus viruses. Proc. Natl. Acad. Sci. U. S. A. 101, 11013–11018 (2004).
3. Lindell, D., Jaffe, J. D., Johnson, Z. I., Church, G. M. & Chisholm, S. W. Photosynthesis genes in marine viruses yield proteins during host infection. Nature 438, 86–89 (2005).
4. Bragg, J. G. & Chisholm, S. W. Modeling the fitness consequences of a cyanophage-encoded photosynthesis gene. PLoS One 3, 1–9 (2008).
5. Brum, J. R. et al. Ocean Viral Communities. Science (80-. ). 348, 1261498-1–11 (2015).
6. Roux, S. et al. Ecogenomics and potential biogeochemical impacts of globally abundant ocean viruses. Nature 537, 689–693 (2016).
7. Gregory, A. C. et al. Marine DNA Viral Macro- and Microdiversity from Pole to Pole. Cell 177, 1109-1123.e14 (2019).
8. Shaffer, M. et al. DRAM for distilling microbial metabolism to automate the curation of microbiome function. Nucleic Acids Res. 48, 8883–8900 (2020).
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