scispace - formally typeset
Open AccessJournal Article

One Bacterial Cell, One Complete Genome

Reads0
Chats0
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.

read more

Citations
More filters

Rumen Microbial Community Profiling as a Tool to Study Ruminant Production

TL;DR: Differences in microbial community composition within a cohort of animals on a specific feed indicate differences in the rumen environment and presumably host animal genetics or early life history, and this type of analysis is starting to be used to investigate productivity differences within animal cohorts.
Posted ContentDOI

Efficient synergistic single-cell genome assembly

TL;DR: Application of the single-cell coassembler HyDA to the study of three uncultured members of an alkane-degrading methanogenic community validated the usefulness of the co-assembly concept.
Book ChapterDOI

Bioinformatics for Genomes and Metagenomes in Ecology Studies

TL;DR: This chapter provides an overview of some of the genomic, metagenomic and informatics approaches currently being used and or being developed for the study of microbial diversity and ecology.
References
More filters

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.
Related Papers (5)