Biology subjects

Trego, A.

Publications and source records attributed to Trego, A..

3 recordsLinked to original sources

bioRxiv2021

Novel microbial syntrophies identified by longitudinal metagenomics

Identifying species interactions in a microbial community and how this relates to community function is a key challenge. Towards addressing this challenge, we present here an extensive genome-resolved, longitudinal dataset and associated metadata. We collected weekly samples of microbial communities and recorded operating conditions from industrial methane producing anaerobic digestion reactors for a year. This allowed us to recover 2240 dereplicated metagenome assembled genomes (dMAGs), together with their coverage dynamics and functional annotations from which functional traits were inferred. Of these dMAGs, 1910 were novel species, with 22 representing novel orders and classes. Methanogenic communities are expected to be strongly structured by syntrophic and other associations between the methanogens and syntrophs that produce their substrates. We identified 450 potential syntrophic dMAGs by searching for pairs of methanogenic and non-methanogenic dMAGs that had highly correlated time-series. Genomes of potential syntrophs were enriched for oxidoreductases and sugar transport genes and there was a strong taxonomic signal in their associations with methanogens. Of particular note, we found that Bathyarchaeiea associated specifically with methanogens from the Thermoplasmata, and Thermococci classes. Same syntrophic associations were only rarely observed across multiple reactors, suggesting that syntrophies might be facultative, with particular strains within a species forming syntrophic associations only sometimes and not necessarily always with the same methanogenic partner. The presented results show that longitudinal metagenomics is a highly valuable approach for identifying species and their interactions in microbial communities. One Sentence SummaryLongitudinal study of microbial communities identifies novel species and predicts their interactions and role in community function.

microbiology↗

bioRxiv2020

Circular Economy of Anaerobic Biofilm Microbiomes: A Meta-Analysis Framework for Re-exploration of Amplicon Sequencing Data

Use of high-throughput sequencing is widespread in efforts to understand the microbial communities in natural and engineered systems. Many built ecosystems, in particular those used for engineered wastewater treatment, have harnessed the metabolic capacity of complex microbial communities for the effective removal and recovery of organic pollutants. Recent efforts to better understand and precisely engineer such systems have increasingly used high-throughput sequencing to map the structure and function of wastewater treatment microbiomes. An enormous amount of data is readily available on online repositories such as the National Center for Biotechnology Information Short Read Archive (NCBI SRA). Here, we describe and provide an optimised meta-analysis workflow to utilise this resource to collate heterogenous studies together for anaerobic digestion research. We analysed 16S rRNA gene Illumina Miseq amplicon sequencing data from 31 anaerobic digestion studies (from high-rate digesters), including >1,300 samples. Additionally, we compare several methodological choices: extraction method, v-region, taxonomical database, and the classifier. We demonstrate that collation of data from multiple v-regions can be achieved by using only the taxa for which sequences are available in the reference databases, without losses in diversity trends. This is made possible by focusing on alternative strategies for taxonomic assignments, namely, bayesian lowest common ancestor (BLCA) algorithm which offers increased resolution to the traditional naive bayesian classifier (NBC). While we demonstrate this using an anaerobic digestion wastewater treatment dataset, this methodology can be translated to perform meta-analysis on amplicon sequences in any field. These findings not only provide a roadmap for meta-analysis in any field, but additionally provide an opportunity to reuse extensive data resources to ultimately advance knowledge of wastewater treatment systems. ImportanceIn this study, we have combined sequencing data from 31 individual studies with the purpose of identifying a meta-analysis workflow which can accurately collate data derived from sequencing different v-regions with minimal data loss and more accurate diversity patterns. While we have used Anaerobic Digestion (AD) communities for our proof-of-concept, our workflow (Fig 1) can be translated to any Illumina MiSeq meta-analysis study, in any field. Thereby, we provide the foundation for intensive data mining of existing amplicon sequencing resources. Such data-mining can provide a global perspective on complex microbial communities. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=110 SRC="FIGDIR/small/424166v1_fig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@11fe518org.highwire.dtl.DTLVardef@f9a6eeorg.highwire.dtl.DTLVardef@3e5af0org.highwire.dtl.DTLVardef@1c45734_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 1.C_FLOATNO Overview of the meta-analysis workflow to assess the protocols used in the analysis of AD microbiomes. C_FIG Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=120 SRC="FIGDIR/small/424166v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@1392216org.highwire.dtl.DTLVardef@1ecd922org.highwire.dtl.DTLVardef@a35894org.highwire.dtl.DTLVardef@c7fc0_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2019

De Novo Growth Of Methanogenic Granules Indicates A Biofilm Life-Cycle With Complex Ecology

Methanogenic sludge granules are densely packed, small (diameter, approx. 0.5-2.0 mm) spherical biofilms found in anaerobic digesters used to treat industrial wastewaters, where they underpin efficient organic waste conversion and biogas production. A single digester contains millions of individual granules, each of which is a highly-organised biofilm comprised of a complex consortium of likely billions of cells from across thousands of species - but not all granules are identical. Whilst each granule theoretically houses representative microorganisms from all of the trophic groups implicated in the successive and interdependent reactions of the anaerobic digestion process, parallel granules function side-by-side in digesters to provide a meta-organism of sorts. Granules from a full-scale bioreactor were size-separated into small, medium and large granules. Laboratory-scale bioreactors were operated using only small (0.6-1 mm), medium (1-1.4 mm) or large (1.4-1.8 mm) granules, or unfractionated (naturally distributed) sludge. After >50 days of operation, the granule size distribution in each of the small, medium and large bioreactor types had diversified beyond - to both bigger and smaller than - the size fraction used for inoculation. New granules were analysed by studying community structure based on high-throughput 16S rRNA gene sequencing. Methanobacterium, Aminobacterium, Propionibacteriaceae and Desulfovibrio represented the majority of the community in new granules. H2-using, and not acetoclastic, methanogens appeared more important, and were associated with abundant syntrophic bacteria. Multivariate integration analyses identified distinct discriminant taxa responsible for shaping the microbial communities in different-sized granules, and along with alpha diversity data, indicated a possible biofilm life cycle.\n\nImportanceMethanogenic granules are spherical biofilms found in the built environment, where despite their importance for anaerobic digestion of wastewater in bioreactors, little is understood about the fate of granules across their entire life. Information on exactly how, and at what rates, methanogenic granules develop will be important for more precise and innovative management of environmental biotechnologies. Microbial aggregates also spark interest as subjects in which to study fundamental concepts from microbial ecology, including immigration and species sorting affecting the assembly of microbial communities. This experiment is the first, of which we are aware, to compartmentalise methanogenic granules into discrete, size-resolved fractions, which were then used to separately start up bioreactors to investigate the granule life cycle. The evidence, and extent, of de novo granule growth, and the identification of key microorganisms shaping new granules at different life-cycle stages, is important for environmental engineering and microbial ecology.

microbiology↗