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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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PredicTF: prediction of bacterial transcription factors in complex microbial communities using deep learning

TL;DR: PredicTF as discussed by the authors is a platform supporting the prediction and classification of novel bacterial transcription factors in single species and complex microbial communities, which is based on a deep learning algorithm and can be used for gene regulation in ecosystems where bacteria play a key role.
Posted ContentDOI

Early acquisition of conserved, lineage-specific proteins currently lacking functional predictions were central to the rise and diversification of archaea

TL;DR: This work investigated the extent to which clustering based on protein family content recapitulates archaeal phylogeny and identified the proteins that distinguish the major subdivisions and defined 10,866 archaealing protein families that will serve as a community resource.
Journal ArticleDOI

Spatio-Temporal Variations in the Abundance and Community Structure of Nitrospira in a Tropical Bay.

TL;DR: Results suggest that both Nitrospira andNitrospina can be involved in nitrite oxidation by coupling with AOA, but Nitro Spina may play a greater role than NitroSpira in this tropical bay.
Journal ArticleDOI

Two Archaeal Metagenome-Assembled Genomes from El Tatio Provide New Insights into the Crenarchaeota Phylum

TL;DR: A phylogenomic and functional analysis of the first two Crenarchaeota MAGs belonging to El Tatio geysers fields in Chile is reported in this paper, which provides new insights into the phylogenetic and genomic diversity for archaea species.
Journal ArticleDOI

Annotating unknown species of urban microorganisms on a global scale unveils novel functional diversity and local environment association

TL;DR: Zhang et al. as mentioned in this paper uncovered 732 novel bacterial species from 4728 samples collected from various common surface with the matching materials in the mass transit system across 60 cities by the MetaSUB Consortium.
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.
Journal ArticleDOI

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.
Journal ArticleDOI

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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