| Autor: |
Tiffany Oliver, Neha Varghese, Simon Roux, Frederik Schulz, Marcel Huntemann, Alicia Clum, Brian Foster, Bryce Foster, Robert Riley, Kurt LaButti, Robert Egan, Patrick Hajek, Supratim Mukherjee, Galina Ovchinnikova, T. B. K. Reddy, Sara Calhoun, Richard D. Hayes, Robin R. Rohwer, Zhichao Zhou, Chris Daum, Alex Copeland, I-Min A. Chen, Natalia N. Ivanova, Nikos C. Kyrpides, Nigel J. Mouncey, Tijana Glavina del Rio, Igor V. Grigoriev, Steven Hofmeyr, Leonid Oliker, Katherine Yelick, Karthik Anantharaman, Katherine D. McMahon, Tanja Woyke, Emiley A. Eloe-Fadrosh |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Scientific Data, Vol 11, Iss 1, Pp 1-7 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2052-4463 |
| DOI: |
10.1038/s41597-024-03826-8 |
| Popis: |
Abstract The North Temperate Lakes Long-Term Ecological Research (NTL-LTER) program has been extensively used to improve understanding of how aquatic ecosystems respond to environmental stressors, climate fluctuations, and human activities. Here, we report on the metagenomes of samples collected between 2000 and 2019 from Lake Mendota, a freshwater eutrophic lake within the NTL-LTER site. We utilized the distributed metagenome assembler MetaHipMer to coassemble over 10 terabases (Tbp) of data from 471 individual Illumina-sequenced metagenomes. A total of 95,523,664 contigs were assembled and binned to generate 1,894 non-redundant metagenome-assembled genomes (MAGs) with ≥50% completeness and ≤10% contamination. Phylogenomic analysis revealed that the MAGs were nearly exclusively bacterial, dominated by Pseudomonadota (Proteobacteria, N = 623) and Bacteroidota (N = 321). Nine eukaryotic MAGs were identified by eukCC with six assigned to the phylum Chlorophyta. Additionally, 6,350 high-quality viral sequences were identified by geNomad with the majority classified in the phylum Uroviricota. This expansive coassembled metagenomic dataset provides an unprecedented foundation to advance understanding of microbial communities in freshwater ecosystems and explore temporal ecosystem dynamics. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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