Draft Genome of Janthinobacterium sp. RA13 Isolated from Lake Washington Sediment.

Sequencing the genome of Janthinobacterium sp. RA13 from Lake Washington sediment is announced. From the genome content, a versatile life-style is predicted, but not bona fide methylotrophy. With the availability of its genomic sequence, Janthinobacterium sp. RA13 presents a prospective model for studying microbial communities in lake sediments

Draft Genome of Pseudomonas sp. Strain 11/12A, Isolated from Lake Washington Sediment.

We announce here the genome sequencing of Pseudomonas sp. strain 11/12A from Lake Washington sediment. From the genome content, a versatile lifestyle is predicted but not one of bona fide methylotrophy. With the availability of its genomic sequence, Pseudomonas sp. 11/12A presents a prospective model for studying microbial communities in lake sediments

Draft genomes of two strains of flavobacterium isolated from lake washington sediment.

We report sequencing the genomes of two new Flavobacterium strains isolated from Lake Washington sediment. From genomic contents, versatile lifestyles were predicted but not bona fide methylotrophy. With the availability of their genomic sequences, the new Flavobacterium strains present prospective models for studying microbial communities in lake sediments

Draft genome sequences of five new strains of methylophilaceae isolated from lake washington sediment.

We sequenced the genomes of five new Methylophilaceae strains isolated from Lake Washington sediment. We used the new sequences to sort these new strains into specific Methylophilaceae ecotypes, including one novel ecotype. The new genomes expand the known diversity of Methylophilaceae and provide new models for studying the ecology of methylotrophy

Plant compartment and genetic variation drive microbiome composition in switchgrass roots.

Switchgrass (Panicum virgatum) is a promising biofuel crop native to the United States with genotypes that are adapted to a wide range of distinct ecosystems. Various plants have been shown to undergo symbioses with plant growth-promoting bacteria and fungi, however, plant-associated microbial communities of switchgrass have not been extensively studied to date. We present 16S ribosomal RNA gene and internal transcribed spacer (ITS) data of rhizosphere and root endosphere compartments of four switchgrass genotypes to test the hypothesis that host selection of its root microbiota prevails after transfer to non-native soil. We show that differences in bacterial, archaeal and fungal community composition and diversity are strongly driven by plant compartment and switchgrass genotypes and ecotypes. Plant-associated microbiota show an enrichment in Alphaproteobacteria and Actinobacteria as well as Sordariales and Pleosporales compared with the surrounding soil. Root associated compartments display low-complexity communities dominated and enriched in Actinobacteria, in particular Streptomyces, in the lowland genotypes, and in Alphaproteobacteria, specifically Sphingobium, in the upland genotypes. Our comprehensive root analysis serves as a snapshot of host-specific bacterial and fungal associations of switchgrass in the field and confirms that host-selected microbiomes persist after transfer to non-native soil

A single-cell genome perspective on studying intracellular associations in unicellular eukaryotes.

Single-cell genomics (SCG) methods provide a unique opportunity to analyse whole genome information at the resolution of an individual cell. While SCG has been extensively used to investigate bacterial and archaeal genomes, the technique has been rarely used to access the genetic makeup of uncultivated microbial eukaryotes. In this regard, the use of SCG can provide a wealth of information; not only do the methods allow exploration of the genome, they can also help elucidate the relationship between the cell and intracellular entities extant in nearly all eukaryotes. SCG enables the study of total eukaryotic cellular DNA, which in turn allows us to better understand the evolutionary history and diversity of life, and the physiological interactions that define complex organisms. This article is part of a discussion meeting issue 'Single cell ecology'

Exploring Symbioses by Single-Cell Genomics

Single-cell genomics has advanced the field of microbiology from the analysis of microbial metagenomes where information is “drowning in a sea of sequences,” to recognizing each microbial cell as a separate and unique entity. Single-cell genomics employs Phi29 polymerase-mediated whole-genome amplification to yield microgram-range genomic DNA from single microbial cells. This method has now been applied to a handful of symbiotic systems, including bacterial symbionts of marine sponges, insects (grasshoppers, termites), and vertebrates (mouse, human). In each case, novel insights were obtained into the functional genomic repertoire of the bacterial partner, which, in turn, led to an improved understanding of the corresponding host. Single-cell genomics is particularly valuable when dealing with uncultivated microorganisms, as is still the case for many bacterial symbionts. In this review, we explore the power of single-cell genomics for symbiosis research and highlight recent insights into the symbiotic systems that were obtained by this approach

MeCorS: Metagenome-enabled error correction of single cell sequencing reads

Bremges A, Singer E, Woyke T, Sczyrba A. MeCorS: Metagenome-enabled error correction of single cell sequencing reads. Bioinformatics. 2016;32(14):2199-2201.UNLABELLED: We present a new tool, MeCorS, to correct chimeric reads and sequencing errors in Illumina data generated from single amplified genomes (SAGs). It uses sequence information derived from accompanying metagenome sequencing to accurately correct errors in SAG reads, even from ultra-low coverage regions. In evaluations on real data, we show that MeCorS outperforms BayesHammer, the most widely used state-of-the-art approach. MeCorS performs particularly well in correcting chimeric reads, which greatly improves both accuracy and contiguity of de novo SAG assemblies. AVAILABILITY AND IMPLEMENTATION: https://github.com/metagenomics/MeCorS CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. The Author 2016. Published by Oxford University Press

Draft genome of Rosenbergiella nectarea strain 8N4T provides insights into the potential role of this species in its plant host.

Background:Rosenbergiella nectarea strain 8N4T, the type species of the genus Rosenbergiella, was isolated from Amygdalus communis (almond) floral nectar. Other strains of this species were isolated from the floral nectar of Citrus paradisi (grapefruit), Nicotiana glauca (tobacco tree) and from Asphodelus aestivus. R. nectarea strain 8N4T is a Gram-negative, oxidase-negative, facultatively anaerobic bacterium in the family Enterobacteriaceae. Results:Here we describe features of this organism, together with its genome sequence and annotation. The DNA GC content is 47.38%, the assembly size is 3,294,717 bp, and the total number of genes are 3,346. The genome discloses the possible role that this species may play in the plant. The genome contains both virulence genes, like pectin lyase and hemolysin, that may harm plant cells and genes that are predicted to produce volatile compounds that may impact the visitation rates by nectar consumers, such as pollinators and nectar thieves. Conclusions:The genome of R. nectarea strain 8N4T reveals a mutualistic interaction with the plant host and a possible effect on plant pollination and fitness

Improved Draft Genome Sequence of Microbacterium sp. Strain LKL04, a Bacterial Endophyte Associated with Switchgrass Plants.

We report here the genome assembly and analysis of Microbacterium strain sp. LKL04, a Gram-positive bacterial endophyte isolated from switchgrass plants (Panicum virgatum) grown on a reclaimed coal-mining site. The 2.9-Mbp genome of this bacterium was assembled into a single contig encoding 2,806 protein coding genes