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Indoor house dust is a blend of organic and inorganic materials, upon which diverse microbial communities such as viruses, bacteria and fungi reside. Adequate moisture in the indoor environment helps microbial communities multiply fast. The outdoor air and materials that are brought into the buildings by airflow, sandstorms, animals pets and house occupants endow the indoor dust particles with extra features that impact human health. Assessment of the health effects of indoor dust particles, the type of indoor microbial inoculants and the secreted enzymes by indoor insects as allergens merit detailed investigation. Here, we discuss the applications of next generation sequencing (NGS) technology which is used to assess microbial diversity and abundance of the indoor dust environments. Likewise, the applications of NGS are discussed to monitor the gene expression profiles of indoor human occupants or their surrogate cellular models when exposed to aqueous solution of collected indoor dust samples. We also highlight the detection methods of dust allergens and analytical procedures that quantify the chemical nature of indoor particulate matter with a potential impact on human health. Our review is thus unique in advocating the applications of interdisciplinary approaches that comprehensively assess the health effects due to bad air quality in built environments.
The human gut is home for thousands of microbes that are important for human life. As most of these cannot be cultivated, metagenomics is an important means to understand this important community. To perform comparative metagenomic analysis of the human gut microbiome, I have developed SMASH (Simple metagenomic analysis shell), a computational pipeline. SMASH can also be used to assemble and analyze single genomes, and has been successfully applied to the bacterium Mycoplasma pneumoniae and the fungus Chaetomium thermophilum. In the context of the MetaHIT (Metagenomics of the human intestinal tract) consortium our group is participating in, I used SMASH to validate the assembly and to estimate the assembly error rate of 576.7 Gb metagenome sequence obtained using Illumina Solexa technology from fecal DNA of 124 European individuals. I also estimated the completeness of the gene catalogue containing 3.3 million open reading frames obtained from these metagenomes. Finally, I used SMASH to analyze human gut metagenomes of 39 individuals from 6 countries encompassing a wide range of host properties such as age, body mass index and disease states. We find that the variation in the gut microbiome is not continuous but stratified into enterotypes. Enterotypes are complex host-microbial symbiotic states that are not explained by host properties, nutritional habits or possible technical biases. The concept of enterotypes might have far reaching implications, for example, to explain different responses to diet or drug intake. We also find several functional markers in the human gut microbiome that correlate with a number of host properties such as body mass index, highlighting the need for functional analysis and raising hopes for the application of microbial markers as diagnostic or even prognostic tools for microbiota-associated human disorders.
Diversity of Nonribosomal Peptide Synthetase Genes in the Microbial Metagenomes of Marine Sponges
(2012)
Genomic mining revealed one major nonribosomal peptide synthetase (NRPS) phylogenetic cluster in 12 marine sponge species, one ascidian, an actinobacterial isolate and seawater. Phylogenetic analysis predicts its taxonomic affiliation to the actinomycetes and hydroxy-phenyl-glycine as a likely substrate. Additionally, a phylogenetically distinct NRPS gene cluster was discovered in the microbial metagenome of the sponge Aplysina aerophoba, which shows highest similarities to NRPS genes that were previously assigned, by ways of single cell genomics, to a Chloroflexi sponge symbiont. Genomic mining studies such as the one presented here for NRPS genes, contribute to on-going efforts to characterize the genomic potential of sponge-associated microbiota for secondary metabolite biosynthesis.
Schwämme (Phylum Porifera) sind der älteste rezente Tierstamm der Erde. Insbesondere marine Vertreter dieser sessilen Invertebraten sind oftmals mit einem mikrobiellen Konsortium assoziiert, welches hochgradig wirtsspezifisch und phylogenetisch divers ist. Die Biomasse dieser Mikroflora kann dabei rund die Hälfte der Masse eines Schwamms ausmachen. Die Komplexität des Konsortiums sowie der Mangel an kultivierbaren Vertretern der Schwamm-spezifischen Kladen erschwert dabei eine gezielte funktionelle Charakterisierung. Von besonderem Interesse hierbei ist das exklusiv in marinen Schwämmen vorzufindende Candidatus Phylum Poribacteria, für das bislang kein kultivierter Vertreter vorliegt. Die metabolisch aktiven und hochabundanten Poribakterien liegen in der extrazellulären Matrix des Schwammes vor und zeichnen sich durch das Vorhandensein einer Nukleoid-ähnlichen intrazellulären Struktur aus. Ziel dieser Promotionsarbeit war es, neue Einzelzell-basierte Methoden auf das Gebiet der funktionellen Charakterisierung von Bakterien anzuwenden, welche spezifisch mit dem mediterranen Schwamm Aplysina aerophoba assoziiert sind. Dabei wurden sowohl kultivierungs-abhängige, als auch kultivierungs-unabhängige Versuchsansätze verfolgt. Das Hauptaugenmerk dieser Studien lag dabei auf dem Candidatus Phylum Poribacteria. Während auf dem ‚dilution-to-extinction‘-Prinzip beruhende Hochdurchsatz-Kultivierungen nicht zum Erhalt einer Schwammsymbionten-Reinkultur führten, konnten durch eine Kombination aus FACS-Vereinzelung von Schwamm-assoziierten Bakterien und anschließenden Einzel-Genom-Amplifizierungen (‚whole genome amplifications‘) umfassende Einblicke in die metabolischen Kapazitäten von Schwammsymbionten gewonnen werden. Ferner gelang durch die Anwendung dieser neuen kultivierungs-unabhängigen Methode eine spezifische Verknüpfung von Phylogenie und Funktion Schwamm-assoziierter, nicht-kultivierbarer Bakterien. So konnte im Rahmen dieser Dissertation eine neue nicht-ribosomale Peptidsynthetase (NRPS) einem Vertreter einer Schwamm-spezifischen Chloroflexi-Klade zugewiesen werden. Ferner gelang die Zuordnung einer exklusiv in marinen Schwämmen vorgefundenen Polyketidsynthase (Sup-PKS) zu den Poribacteria. Die Klonierung von hochmolekularer, Einzel-Genom-amplifizierter DNA in Cosmide gewährte zudem Einblicke in den genomischen Kontext dieser, mit dem bakteriellen Sekundärmetabolismus assoziierten Gene. Die Pyrosequenzierung eines amplifizierten, von einem einzelnen Poribakterium abstammenden Genoms führte zudem zum Erhalt von rund zwei Megabasen an genetischer Information über diese Schwammsymbionten. Dadurch wurden detaillierte Informationen über den poribakteriellen Primär- und Sekundärstoffwechsel gewonnen. Die Auswertung der automatisch annotierten 454-Daten erlaubte die Rekonstruktion von Stoffwechselwegen, so z.B. der Glykolyse oder des Citratzyklus und bestätigte das Vorhandensein eines Sup-PKS-Gens im poribakteriellen Genom. Ferner konnten Gemeinsamkeiten mit den Schwesterphyla Planctomycetes, Chlamydiae und Verrucomicrobia gefunden werden. Zudem zeigte die vergleichende Analyse mit einem poribakteriellen Referenzklon aus einer bestehenden Metagenombank die genomische Mikroheterogenität innerhalb dieses Phylums. Nicht zuletzt konnte die Auswertung der poribakteriellen 454-Sequenzierung eine Reihe von möglichen Symbiose-Determinanten aufdecken, die beispielsweise am Austausch von Metaboliten zwischen den Interaktionspartnern beteiligt sind. Die Ergebnisse dieser Dissertationsarbeit stellen die Basis für eine gezielte und detaillierte funktionelle Beschreibung einzelner Bakterien innerhalb komplexer mikrobieller Konsortien dar, wie sie in marinen Schwämmen vorzufinden sind. Dieser Studie gewährte erstmalig umfassende Einblicke in das genomische Potential der nicht-kultivierten, Schwamm-assoziierten Poribacteria. Weiterführende Einzelzell-basierte Experimente werden in Zukunft dazu beitragen, das Bild von der Interaktion zwischen Bakterien und eukaryontischen Wirten zu komplettieren.
Marine Schwämme (Porifera) sind sessile Invertebraten, deren Biomasse bis zu 60% von assoziierten Mikroorganismen gebildet werden kann. Dieses mikrobielle Konsortium ist phylogenetisch komplex, die monophyletischen Abstammungslinien sind hochgradig wirtsspezifisch und bisher konnte kein Vertreter dieser Mikroflora kultiviert werden. In seiner Zusammensetzung unterscheidet sich dieses Konsortium sowohl von der Mikroflora mariner Sedimente, als auch vom marinen Bakterioplankton. Durch 16S rRNA Sequenzanalysen und Fluoreszenz in situ Hybridisierung (FISH) konnte während dieser Arbeit das neue Candidatus Phylum Poribacteria kultivierungsunabhängig identifiziert werden. Poribacteria bilden definitionsgemäß ein unabhängiges Candidatus Phylum, da sie weniger als 75% Sequenzhomologie innerhalb der 16S rRNA zu anderen prokaryontischen Phyla zeigen. Sie sind verwandt mit Planctomycetes. Der Name „Poribacteria“ wurde gewählt, da diese Organismen spezifisch mit marinen Porifera assoziiert zu sein scheinen. Bisher konnten Poribacteria in Porifera der Ordnungen Verongida, Haplosclerida und Lithistida nachgewiesen werden, während sie in den Ordnungen Poecilosclerida, Agelasida, Halichondrida und Hadromerida nicht nachweisbar waren. Im marinen Sediment und im Bakterioplankton wurden Poribacteria ebenfalls nicht detektiert. Durch FISH Analysen wurde deutlich, dass Poribacteria in A. aerophoba (Verongida) eine abundante Fraktion der assoziierten Mikroflora bilden. Da Vertreter des mikrobiellen Konsortiums mariner Schwämme bisher nicht kultiviert werden konnten, wurde das „Metagenom“ dieser Mikroorganismen durch die ex situ Isolierung hoch molekularer DNA direkt kloniert. Eine Charakterisierung von Metagenomen erlaubt unabhängig von der Kultivierbarkeit der entsprechenden Organismen direkte Einblicke in deren Genotyp und liefert so eine erste Verbindung zwischen phylogenetischer Diversität und physiologischen Eigenschaften. Für die Erstellung der Metagenombank wurde mikrobielle Biomasse aus A. aerophoba vom Mesohyl getrennt und lysiert und die gereinigte DNA in Fosmid Vektoren in E. coli kloniert. Die resultierende Metagenombank APAE02 umfasst ca. 1,1 Gb hoch molekularer prokaryontischer genomischer DNA. Eine Bestimmung der in dieser Metagenombank archivierten mikrobiellen Diversität lieferte zusätzlich zu bekannten 16S rRNA kodierenden Loci aus Cyanobacteria, Chloroflexi, Acidobacteria und Gammaproteobacteria einen 16S rRNA kodierenden poribakteriellen Fosmidklon. Die Annotation der flankierenden genomischen Regionen des 16S rRNA Gens führte zur Detektion eines unterbrochenen rrn Operons, eines wahrscheinlich neuen Transporters, einer neuen Molybdän enthaltenen Oxidoreduktase und orthologer „open reading frames“ (ORFs) aus Rhodopirellula baltica (Planctomycetes) in Poribacteria. Die Charakterisierung dieses 38,7 kb DNA Fragmentes stellt die Basis für weitere genomische Untersuchungen an Poribacteria dar. Metagenombanken repräsentieren eine reichhaltige Quelle zum Nachweis neuer Enzyme oder Biosyntheseoperons. Somit konnten in der Metagenombank APAE02 neuartige Typ I Polyketidsynthasen (PKS) nachgewiesen werden. Phylogenetische Analysen der Ketosynthasedomäne zeigten, dass diese Systeme nicht herkömmlichen Typ I cis-AT bzw. trans-AT (Acyltransferase) PKS Systemen zugeordnet werden können. Die kodierenden Bereiche der PKS Systeme sind mit nur ca. 10 kb relativ klein. Im Gegensatz zu der Organisation sich wiederholender multipler Module herkömmlicher PKS Typ I Systeme bestehen sie nur aus einem einzigen Modul und könnten vermutlich bei der Synthese von Fettsäuren beteiligt sein. Die Struktur und Funktion der Produkte ist bisher unbekannt. Generell ist durch in silico Analysen eine Abbildung des „funktionellen Repertoires“ unkultivierter Mikroorganismen möglich. Es wäre denkbar, dass durch weitere Studien fundierte Einblicke in den Genpool der Poribacteria und anderer Organismen des mikrobiellen Konsortiums aus Poriferen eröffnet werden, um metabolische Eigenschaften zu rekonstruieren und die Mechanismen zur Interaktion mit dem Wirt verstehen zu können.
Sponges (phylum Porifera) are evolutionary ancient, sessile filter-feeders that harbor a largely diverse microbial community within their internal mesohyl matrix. Throughout this thesis project, I aimed at exploring the adaptations of these symbionts to life within their sponge host by sequencing and analyzing the genomes of a variety of bacteria from the microbiome of the Mediterranean sponge Aplysina aerophoba. Employed methods were fluorescence-activated cell sorting with subsequent multiple displacement amplification and single-cell / ‘mini-metagenome’ sequencing, and metagenomic sequencing followed by differential coverage binning. These two main approaches both aimed at obtaining genome sequences of bacterial symbionts of A. aerophoba, that were then compared to each other and to references from other environments, to gain information on adaptations to the host sponge environment and on possible interactions with the host and within the microbial community.
Cyanobacteria are frequent members of the sponge microbial community. My ‘mini-metagenome’ sequencing project delivered three draft genomes of “Candidatus Synechococcus spongiarum,” the cyanobacterial symbiont of A. aerophoba and many more sponges inhabiting the photic zone. The most complete of these genomes was compared to other clades of this symbiont and to closely related free-living cyanobacterial references in a collaborative project published in Burgsdorf I*, Slaby BM* et al. (2015; *shared first authorship). Although the four clades of “Ca. Synechococcus spongiarum” from the four sponge species A. aerophoba, Ircinia variabilis, Theonella swinhoei, and Carteriospongia foliascens were approximately 99% identical on the level of 16S rRNA gene sequences, they greatly differed on the genomic level. Not only the genome sizes were different from clade to clade, but also the gene content and a number of features including proteins containing the eukaryotic-type domains leucine-rich repeats or tetratricopeptide repeats. On the other hand, the four clades shared a number of features such as ankyrin repeat domain-containing proteins that seemed to be conserved also among other microbial phyla in different sponge hosts and from different geographic locations. A possible novel mechanism for host phagocytosis evasion and phage resistance by means of an altered O antigen of the lipopolysaccharide was identified.
To test previous hypotheses on adaptations of sponge-associated bacteria on a broader spectrum of the microbiome of A. aerophoba while also taking a step forward in methodology, I developed a bioinformatic pipeline to combine metagenomic Illumina short-read sequencing data with PacBio long-read data. At the beginning of this project, no pipelines to combine short-read and long-read data for metagenomics were published, and at time of writing, there are still no projects published with a comparable aim of un-targeted assembly, binning and analysis of a metagenome. I tried a variety of assembly programs and settings on a simulated test dataset reflecting the properties of the real metagenomic data. The developed assembly pipeline improved not only the overall assembly statistics, but also the quality of the binned genomes, which was evaluated by comparison to the originally published genome assemblies.
The microbiome of A. aerophoba was studied from various angles in the recent years, but only genomes of the candidate phylum Poribacteria and the cyanobacterial sequences from my above-described project have been published to date. By applying my newly developed assembly pipeline to a metagenomic dataset of A. aerophoba consisting of a PacBio long-read dataset and six Illumina short-read datasets optimized for subsequent differential coverage binning, I aimed at sequencing a larger number and greater diversity of symbionts. The results of this project are currently in review by The ISME Journal. The complementation of Illumina short-read with PacBio long-read sequencing data for binning of this highly complex metagenome greatly improved the overall assembly statistics and improved the quality of the binned genomes. Thirty-seven genomes from 13 bacterial phyla and candidate phyla were binned representing the most prominent members of the microbiome of A. aerophoba. A statistical comparison revealed an enrichment of genes involved in restriction modification and toxin-antitoxin systems in most symbiont genomes over selected reference genomes. Both are defense features against incoming foreign DNA, which may be important for sponge symbionts due to the sponge’s filtration and phagocytosis activity that exposes the symbionts to high levels of free DNA. Also host colonization and matrix utilization features were significantly enriched. Due to the diversity of the binned symbiont genomes, a within-symbionts genome comparison was possible, that revealed three guilds of symbionts characterized by i) nutritional specialization on the metabolization of carnitine, ii) specialization on sulfated polysaccharides, and iii) apparent nutritional generalism. Both carnitine and sulfated polysaccharides are abundant in the sponge extracellular matrix and therefore available to the sponge symbionts as substrates. In summary, the genomes of the diverse community of symbionts in A. aerophoba were united in their defense features, but specialized regarding their nutritional preferences.
The gastrointestinal tract is abundantly colonized by microbes, yet the translocation of oral species to the intestine is considered a rare aberrant event, and a hallmark of disease. By studying salivary and fecal microbial strain populations of 310 species in 470 individuals from five countries, we found that transmission to, and subsequent colonization of, the large intestine by oral microbes is common and extensive among healthy individuals. We found evidence for a vast majority of oral species to be transferable, with increased levels of transmission in colorectal cancer and rheumatoid arthritis patients and, more generally, for species described as opportunistic pathogens. This establishes the oral cavity as an endogenous reservoir for gut microbial strains, and oral-fecal transmission as an important process that shapes the gastrointestinal microbiome in health and disease.
Microalga are of high relevance for the global carbon cycling and it is well-known that they are associated with a microbiota. However, it remains unclear, if the associated microbiota, often found in phycosphere biofilms, is specific for the microalga strains and which role individual bacterial taxa play. Here we provide experimental evidence that \(Chlorella\) \(saccharophila\), \(Scenedesmus\) \(quadricauda\), and \(Micrasterias\) \(crux-melitensis\), maintained in strain collections, are associated with unique and specific microbial populations. Deep metagenome sequencing, binning approaches, secretome analyses in combination with RNA-Seq data implied fundamental differences in the gene expression profiles of the microbiota associated with the different microalga. Our metatranscriptome analyses indicates that the transcriptionally most active bacteria with respect to key genes commonly involved in plant–microbe interactions in the Chlorella (Trebouxiophyceae) and Scenedesmus (Chlorophyceae) strains belong to the phylum of the α-Proteobacteria. In contrast, in the Micrasterias (Zygnematophyceae) phycosphere biofilm bacteria affiliated with the phylum of the Bacteroidetes showed the highest gene expression rates. We furthermore show that effector molecules known from plant-microbe interactions as inducers for the innate immunity are already of relevance at this evolutionary early plant-microbiome level.
Outdoor dust covers a shattered range of microbial agents from land over transportation, human microbial flora, which includes pathogen and commensals, and airborne from the environment. Dust aerosols are rich in bacterial communities that have a major impact on human health and living environments. In this study, outdoor samples from roadside barricades, safety walls, and fences (18 samples) were collected from Abu Dhabi, UAE and bacterial diversity was assessed through a 16S rRNA amplicon next generation sequencing approach. Clean data from HiSeq produced 1,099,892 total reads pairs for 18 samples. For all samples, taxonomic classifications were assigned to the OTUs (operational taxonomic units) representative sequence using the Ribosomal Database Project database. Analysis such as alpha diversity, beta diversity, differential species analysis, and species relative abundance were performed in the clustering of samples and a functional profile heat map was obtained from the OTUs by using bioinformatics tools. A total of 2814 OTUs were identified from those samples with a coverage of more than 99%. In the phylum, all 18 samples had most of the bacterial groups such as Actinobacteria, Proteobacteria, Firmicutes, and Bacteroidetes. Twelve samples had Propionibacteria acnes and were mainly found in RD16 and RD3. Major bacteria species such as Propionibacteria acnes, Bacillus persicus, and Staphylococcus captis were found in all samples. Most of the samples had Streptococcus mitis, Staphylococcus capitis. and Nafulsella turpanensis and Enhydrobacter aerosaccus was part of the normal microbes of the skin. Salinimicrobium sp., Bacillus alkalisediminis, and Bacillus persicus are halophilic bacteria found in sediments. The heat map clustered the samples and species in vertical and horizontal classification, which represents the relationship between the samples and bacterial diversity. The heat map for the functional profile had high properties of amino acids, carbohydrate, and cofactor and vitamin metabolisms of all bacterial species from all samples. Taken together, our analyses are very relevant from the perspective of out-door air quality, airborne diseases, and epidemics, with broader implications for health safety and monitoring.
Background
Shotgun metagenomes contain a sample of all the genomic material in an environment, allowing for the characterization of a microbial community. In order to understand these communities, bioinformatics methods are crucial. A common first step in processing metagenomes is to compute abundance estimates of different taxonomic or functional groups from the raw sequencing data.
Given the breadth of the field, computational solutions need to be flexible and extensible, enabling the combination of different tools into a larger pipeline.
Results
We present NGLess and NG-meta-profiler. NGLess is a domain specific language for describing next-generation sequence processing pipelines. It was developed with the goal of enabling user-friendly computational reproducibility. It provides built-in support for many common operations on sequencing data and is extensible with external tools with configuration files.
Using this framework, we developed NG-meta-profiler, a fast profiler for metagenomes which performs sequence preprocessing, mapping to bundled databases, filtering of the mapping results, and profiling (taxonomic and functional). It is significantly faster than either MOCAT2 or htseq-count and (as it builds on NGLess) its results are perfectly reproducible.
Conclusions
NG-meta-profiler is a high-performance solution for metagenomics processing built on NGLess. It can be used as-is to execute standard analyses or serve as the starting point for customization in a perfectly reproducible fashion.
NGLess and NG-meta-profiler are open source software (under the liberal MIT license) and can be downloaded from https://ngless.embl.de or installed through bioconda.