An efficient pipeline for creating metagenomic-assembled genomes from ancient oral microbiomes
Standeven, F. J.; Dahlquist-Axe, G.; Speller, C. F.; Meehan, C. J.; Tedder, A.
Show abstract
Metagenomic-assembled genomes (MAGs) are difficult to recover from ancient DNA (aDNA) due to substantial fragmentation, degradation, and multi-source contamination. These complexities associated with aDNA raise concerns about whether bioinformatic tools intended for interpreting modern DNA are suitable for reconstructing ancient MAGs. Using simulated modern and ancient data, we investigated: 1) how using binning tools designed for modern DNA affects our ability to effectively construct MAGs from ancient genomes; 2) the performance of three different binning tools for aDNA samples; and 3) whether a one size fits all approach is suitable for ancient metagenomics. We established that binning tools for modern DNA performed efficiently on simulated modern and ancient DNA. When applied to real archaeological DNA spanning 5000 years, we retrieve high-confidence MAGs in most cases.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- High molecular weight DNA extraction strategies for long-read sequencing of complex metagenomes 96%
- Benchmarking long-read sequencing strategies for obtaining ASV-resolved rRNA operons from environmental microeukaryotes 95%
- A consensus protocol for the recovery of mercury methylation genes from metagenomes 95%
Similar papers in this journal
Similar papers in this journal
- Interpretations of microbial community studies are biased by the selected 16S rRNA gene amplicon sequencing pipeline. 95%
- Recovery of high quality metagenome-assembled genomes from full-scale activated sludge microbial communities in a tropical climate using longitudinal metagenome sampling 94%
- An improved hgcAB primer set and direct high throughput sequencing expand Hg-methylator diversity in nature 94%
Similar papers in this journal
- Ultra-accurate Microbial Amplicon Sequencing with Synthetic Long Reads 94%
- Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome 94%
- METABOLIC: High-throughput profiling of microbial genomes for functional traits, biogeochemistry, and community-scale metabolic networks 93%
Similar papers in this journal
- From defaults to databases: parameter and database choice dramatically impact the performance of metagenomic taxonomic classification tools 95%
- SyFi: generating and using sequence fingerprints to distinguish SynCom isolates 94%
- Whokaryote: distinguishing eukaryotic and prokaryotic contigs in metagenomes based on gene structure 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.