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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

The next million names for Archaea and Bacteria

TL;DR: This work proposes an automated approach, employing combinatorial concatenation of roots from Latin and Greek to create linguistically correct names for genera and species that can be used off the shelf as needed, and document over a million new names for Bacteria and Archaea.
Posted ContentDOI

Large scale metagenome assembly reveals novel animal-associated microbial genomes, biosynthetic gene clusters, and other genetic diversity

TL;DR: The gut microbiome of a large set of mostly wild animal species consisting of mammals, birds, reptiles, amphibians, and fish is studied to find that existing reference databases commonly used for metagenomic analyses failed to capture the microbiome diversity among vertebrates.
Journal ArticleDOI

High-throughput sequencing for algal systematics

TL;DR: How HTS technologies can advance algal systematics is described, including how HTS data such as organellar genomes and transcriptomes can be used to construct well-resolved phylogenies, leading to a stable and natural classification of algal groups.
Journal ArticleDOI

Long-read metagenomics retrieves complete single-contig bacterial genomes from canine feces

TL;DR: It is shown that long reads are essential to gain biological insights that are otherwise missed in short-read MAGs catalogs, as shown by the mobilome functions detected in the long-read HQ MAGs.
Journal ArticleDOI

Omics and the metabolic function of insect-microbial symbioses.

TL;DR: Omic studies of metabolic interactions between insects and their microbial symbionts enable us to construct precise hypotheses, especially regarding the metabolic services provided by microbial partners and the identity of metabolites exchanged between microorganisms and the insect host.
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

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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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