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Open AccessJournal ArticleDOI

Recovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life

TLDR
The recovery of 7,903 bacterial and archaeal metagenome-assembled genomes increases the phylogenetic diversity represented by public genome repositories and provides the first representatives from 20 candidate phyla.
Abstract
Challenges in cultivating microorganisms have limited the phylogenetic diversity of currently available microbial genomes. This is being addressed by advances in sequencing throughput and computational techniques that allow for the cultivation-independent recovery of genomes from metagenomes. Here, we report the reconstruction of 7,903 bacterial and archaeal genomes from >1,500 public metagenomes. All genomes are estimated to be ≥50% complete and nearly half are ≥90% complete with ≤5% contamination. These genomes increase the phylogenetic diversity of bacterial and archaeal genome trees by >30% and provide the first representatives of 17 bacterial and three archaeal candidate phyla. We also recovered 245 genomes from the Patescibacteria superphylum (also known as the Candidate Phyla Radiation) and find that the relative diversity of this group varies substantially with different protein marker sets. The scale and quality of this data set demonstrate that recovering genomes from metagenomes provides an expedient path forward to exploring microbial dark matter.

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Continuum of root–fungal symbioses for plant nutrition

TL;DR: The question how nonmycorrhizal plants like the Brassicaceae manage to scavenge sufficient amounts of soil nutrients, especially when growing in nutrient poor environments, is asked.
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Prokaryotic Population Dynamics and Viral Predation in a Marine Succession Experiment Using Metagenomics

TL;DR: “wall-chain-reaction” hypothesis based on the study of phage–host dynamics showed the higher impact of viral predation on archaea in deeper waters, evidencing their prominent role during incubations.
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Dissecting the role of the human microbiome in COVID-19 via metagenome-assembled genomes

TL;DR: In this paper , the authors used whole-metagenome shotgun sequencing data together with assembly and binning strategies to reconstruct metagenome-assembled genomes (MAGs) from 514 COVID-19 related nasopharyngeal and fecal samples in six independent cohorts.
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To Dereplicate or Not To Dereplicate

TL;DR: It is shown that published data sets contain a large fraction of MAGs sharing >99% average nucleotide identity, and different software packages and parameters used to resolve this redundancy remove very different numbers ofMAGs, and the removal of closely related genomes leads to losses of population-specific auxiliary genes.
Journal ArticleDOI

Evidence for non-methanogenic metabolisms in globally distributed archaeal clades basal to the Methanomassiliicoccales.

TL;DR: Comparative genomic analysis of 12 Thermoplasmata metagenome-assembled genomes basal to the Methanomassiliicoccales shows that these microorganisms do not encode the genes required for methanogenesis, and suggests that meethanogenesis was laterally acquired by an ancestor of the Methaplasmatota.
References
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Journal ArticleDOI

Fast and accurate short read alignment with Burrows–Wheeler transform

TL;DR: Burrows-Wheeler Alignment tool (BWA) is implemented, a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps.
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BLAST+: architecture and applications.

TL;DR: The new BLAST command-line applications, compared to the current BLAST tools, demonstrate substantial speed improvements for long queries as well as chromosome length database sequences.
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tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence.

TL;DR: A program is described, tRNAscan-SE, which identifies 99-100% of transfer RNA genes in DNA sequence while giving less than one false positive per 15 gigabases.
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Database resources of the National Center for Biotechnology Information

TL;DR: In addition to maintaining the GenBank(R) nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides data analysis and retrieval resources for the data in GenBank and other biological data made available through NCBI’s website.
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