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One Bacterial Cell, One Complete Genome

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TLDR
In this article, the authors reported the completed genome from an uncultured single cell of Candidatus Sulcia muelleri DMIN, which is a polyploid species with genome copies ranging from approximately 200-900 per cell.
Abstract
While the bulk of the finished microbial genomes sequenced to date are derived from cultured bacterial and archaeal representatives, the vast majority of microorganisms elude current culturing attempts, severely limiting the ability to recover complete or even partial genomes from these environmental species. Single cell genomics is a novel culture-independent approach, which enables access to the genetic material of an individual cell. No single cell genome has to our knowledge been closed and finished to date. Here we report the completed genome from an uncultured single cell of Candidatus Sulcia muelleri DMIN. Digital PCR on single symbiont cells isolated from the bacteriome of the green sharpshooter Draeculacephala minerva bacteriome allowed us to assess that this bacteria is polyploid with genome copies ranging from approximately 200-900 per cell, making it a most suitable target for single cell finishing efforts. For single cell shotgun sequencing, an individual Sulcia cell was isolated and whole genome amplified by multiple displacement amplification (MDA). Sanger-based finishing methods allowed us to close the genome. To verify the correctness of our single cell genome and exclude MDA-derived artifacts, we independently shotgun sequenced and assembled the Sulcia genome from pooled bacteriomes using a metagenomic approach, yielding a nearly identical genome. Four variations we detected appear to be genuine biological differences between the two samples. Comparison of the single cell genome with bacteriome metagenomic sequence data detected two single nucleotide polymorphisms (SNPs), indicating extremely low genetic diversity within a Sulcia population. This study demonstrates the power of single cell genomics to generate a complete, high quality, non-composite reference genome within an environmental sample, which can be used for population genetic analyzes.

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CAMITAX: Taxon labels for microbial genomes

TL;DR: CAMITAX is introduced, a scalable and reproducible workflow for the taxonomic labelling of microbial genomes recovered from isolates, single cells, and metagenomes, and it is shown that the ensemble classification method in CAMITAX improved on all individual methods across tested ranks.
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Agarose gel microcapsules enable easy-to-prepare, picolitre-scale single-cell genomics, yielding near-complete genome sequences

TL;DR: Novel method using agarose gel microcapsule allows many researchers to perform single-cell genomics easily and effectively, and can enhance the genome analysis of yet-uncultured microorganisms.
Posted ContentDOI

Bacterial single-cell genomics enables phylogenetic analysis and reveals population structures from in vitro evolutionary studies

TL;DR: In this article, a single-cell DNA sequencing has been used to reveal detailed hierarchical structures in evolving populations of cells, which can be used to study clonal evolution in human ageing and cancer, but have not yet been deployed to study evolving microbial populations.
References
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SPAdes, a new genome assembly algorithm and its applications to single-cell sequencing ( 7th Annual SFAF Meeting, 2012)

Glenn Tesler
TL;DR: SPAdes as mentioned in this paper is a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler and on popular assemblers Velvet and SoapDeNovo (for multicell data).
Journal ArticleDOI

MEGAN analysis of metagenomic data

TL;DR: MEGAN, a new computer program that allows laptop analysis of large metagenomic data sets, is introduced and provides graphical and statistical output for comparing different data sets.
Journal ArticleDOI

Metagenomics: Application of Genomics to Uncultured Microorganisms

TL;DR: Reassembly of multiple genomes has provided insight into energy and nutrient cycling within the community, genome structure, gene function, population genetics and microheterogeneity, and lateral gene transfer among members of an uncultured community.
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