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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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Journal ArticleDOI

Genomic Characteristics Distinguish Geographically Distributed Dehalococcoidia.

TL;DR: Pangenome analysis suggests that Dia microorganisms have evolved cluster-specific enzymes and biosynthesis capabilities and are likely adapted to versatile metabolisms for energy conservation besides organohalide respiration in marine Dia.
Journal ArticleDOI

New technologies for developing phage-based tools to manipulate the human microbiome.

TL;DR: In this paper, the authors discuss recent advances in cultivation-independent technologies and argue their relevance to different key steps, that is, identifying the modulation targets and developing phage-based tools to precisely modulate gut bacteria and restore a sustainable microbiome in humans.
Journal ArticleDOI

Advancing Genome-Resolved Metagenomics beyond the Shotgun

TL;DR: Three main avenues for promising future developments are highlighted, including coupling stable isotope probing and genome-resolved metagenomics, applying fluorescence-activated cell sorting approaches to target mini-metagenomes within a larger community, and utilizing single-molecule long-read and synthetic long- read technology to link mobile elements to host microbial cells.
Journal ArticleDOI

Machine learning meets genome assembly.

TL;DR: A broad review of pioneering literature comprising artificial intelligence-based DNA assemblers-particularly the ones that use machine learning-is presented to provide an overview of state-of-the-art approaches and to serve as a starting point for further study in this field.
Book ChapterDOI

Diversity-Function Relationships in Natural, Applied, and Engineered Microbial Ecosystems.

TL;DR: The current state of knowledge regarding the links between taxonomic alpha- and beta-diversity and ecosystem function is reviewed, comparing the authors' knowledge in this area to that obtained by macroecologists who use more traditional techniques.
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.
Journal ArticleDOI

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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