Patterns and ecological drivers of viral communities in acid mine drainage sediments across Southern China

Shaoming Gao, David Paez-Espino, Jintian Li, Hongxia Ai, Jieliang Liang, Zhenhao Luo, Jin Zheng, Hao Chen, Wensheng Shu and Linan Huang ()
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Shaoming Gao: Sun Yat-sen University
David Paez-Espino: DOE Joint Genome Institute, Lawrence Berkeley National Laboratory
Jintian Li: South China Normal University
Hongxia Ai: Sun Yat-sen University
Jieliang Liang: South China Normal University
Zhenhao Luo: Sun Yat-sen University
Jin Zheng: South China Normal University
Hao Chen: South China University of Technology
Wensheng Shu: South China Normal University
Linan Huang: Sun Yat-sen University

Nature Communications, 2022, vol. 13, issue 1, 1-12

Abstract: Abstract Recent advances in environmental genomics have provided unprecedented opportunities for the investigation of viruses in natural settings. Yet, our knowledge of viral biogeographic patterns and the corresponding drivers is still limited. Here, we perform metagenomic deep sequencing on 90 acid mine drainage (AMD) sediments sampled across Southern China and examine the biogeography of viruses in this extreme environment. The results demonstrate that prokaryotic communities dictate viral taxonomic and functional diversity, abundance and structure, whereas other factors especially latitude and mean annual temperature also impact viral populations and functions. In silico predictions highlight lineage-specific virus-host abundance ratios and richness-dependent virus-host interaction structure. Further functional analyses reveal important roles of environmental conditions and horizontal gene transfers in shaping viral auxiliary metabolic genes potentially involved in phosphorus assimilation. Our findings underscore the importance of both abiotic and biotic factors in predicting the taxonomic and functional biogeographic dynamics of viruses in the AMD sediments.

Date: 2022
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DOI: 10.1038/s41467-022-30049-5

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