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Abbas, B.

Publications and source records attributed to Abbas, B..

5 recordsLinked to original sources

Metaproteomic profiling of the secretome of a granule-forming Ca. Accumulibacter enrichment

Extracellular proteins are supposed to play crucial roles in the formation and structure of biofilms and aggregates. However, often little is known about these proteins, in particular for microbial communities. Here, we use two advanced metaproteomic approaches to study the extracellular proteome in a granular Candidatus Accumulibacter enrichment as a proxy for microbial communities that form solid microbial granules, such as used in biological wastewater treatment. Limited proteolysis of whole granules and metaproteome isolation from the cultures supernatant successfully identified over 50% of the protein biomass to be secreted. Moreover, structural and sequence-based classification identified 387 proteins, corresponding to over 50% of the secreted biomass, with characteristics that could aid the formation of aggregates, including filamentous, beta-barrel containing, and cell surface proteins. However, while most filamentous proteins originated from Ca. Accumulibacter, among others cell surface proteins did not. This suggests that not only a range of different proteins, but also multiple organisms contribute to granular biofilm formation. Therefore, the obtained extracellular metaproteome data from the granular Ca. Accumulibacter enrichment provides a resource for exploring proteins that potentially support the formation and stability of granular biofilms, whereas the demonstrated approaches can be applied to explore biofilms of microbial communities in general. SIGNIFICANCEBiofilm-forming microbial communities are widespread and pose both challenges and opportunities in various settings in life. Structure-providing, extracellular proteins likely play a crucial role in the formation of the biofilm matrix, but these proteins are challenging to characterise due to the dynamic and complex nature of these communities. We used two advanced metaproteomic approaches to enrich for the extracellular proteins in a granule-forming Candidatus Accumulibacter enrichment culture as a proxy for granule-forming communities present in wastewater treatment plants. The extracellular proteins were additionally classified using structure and sequence-based annotation tools, which identified multiple different protein categories that potentially aid in granule formation, but also may provide structure to the biofilm matrix. Interestingly, although the granules were highly enriched for Ca. Accumulibacter, several structure-providing protein categories originated from other organisms. The obtained metaproteomic data contribute to the understanding of proteins and processes that are potentially involved in granule formation. This could further help to optimise processes involving granular biofilms and identify candidates for the recovery of novel biopolymers for biotechnological applications.

systems biology↗

Influence of DNA extraction methods on microbiome and resistome analysis in activated sludge

Amplicon sequencing, metagenomics, and quantitative polymerase chain reaction (qPCR) are commonly used techniques to analyse microorganisms and antibiotic resistance genes (ARGs) in activated sludge from wastewater treatment plants (WWTPs). However, the lack of workflow harmonisation poses challenges in comparing measurements across studies and research groups. To address this issue, we examined the impact of DNA extraction procedures on 16S rRNA gene amplicon sequencing, shotgun metagenomics, and qPCR analyses of activated sludge by combining two widely used DNA extraction kits (PowerSoil and FastDNA) and two commonly employed disruption instruments (bead-beater and vortex) through a 2x2 factorial experimental design involving four groups of three analysts performing DNA extractions in triplicates. Our findings revealed significant differences in DNA yield, purity, and reproducibility of amplicon sequencing profiles among the extraction kits. Operator variability also influenced the results. We compared microbiome profiles obtained by amplicon sequencing and metagenomics and observed that bead-beating introduced more variability among triplicates compared to vortexing. The combinations of extraction kits and disruption instruments impacted the relative abundances of specific phyla such as Actinobacteriota, Bacteroidota, and Nitrospirota. For resistome analysis, we employed metagenomics for high-resolution profiling and qPCR for high-sensitivity detection of ARGs. The compositions and diversities of resistome datasets were not significantly affected by the choice of extraction kits and disruption instruments. Although using the same method is ideal for accurate comparisons, our results suggest that acceptable reproducibility can still be achieved when using different methods. This finding encourages the implementation of ARG monitoring in wastewater treatment processes. However, it is important to consider biases introduced by DNA extraction workflows when designing analytical studies, interpreting their results, and comparing their findings. Striving for more harmonised molecular workflows is crucial in the field of wastewater microbiology and engineering. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=153 SRC="FIGDIR/small/546617v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@caa36eorg.highwire.dtl.DTLVardef@1afabfdorg.highwire.dtl.DTLVardef@448b9aorg.highwire.dtl.DTLVardef@296404_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical abstractC_FLOATNO C_FIG

molecular biology↗

Comparative metaproteomics demonstrates different views on the complex granular sludge microbiome

The tremendous progress in sequencing technologies has made 16S amplicon and whole metagenome sequencing routine in microbiome studies. Furthermore, advances in mass spectrometric techniques has expanded conventional proteomics into the field of microbial ecology. Commonly referred to as metaproteomics, this approach measures the gene products (i.e., proteins) to subsequently identify the actively-expressed metabolic pathways and the protein-biomass composition of complete microbial communities. However, more systematic studies on metaproteomic and genomic approaches are urgently needed, to determine the orthogonal character of these approaches. Here we describe a deep, comparative metaproteomic study on the complex aerobic granular sludge microbiome obtained from different wastewater treatment plants. Thereby, we demonstrate the different views that can be obtained on the central nutrient-removing organisms depending on the omic approach and reference sequence databases. Furthermore, we demonstrate a homogenized Genome Taxonomy Database (GTDB) that subsequently enables a more accurate interpretation of data from different omics approaches. Ultimately, our systematic study underscores the importance of metaproteomics in the characterization of complex microbiomes; and the necessity of accurate reference sequence databases to improve the comparison between approaches and accuracy in scientific reporting.

systems biology↗

Quantitative profiling of microbial communities by de novo metaproteomics

Metaproteomics has emerged as one of the most promising approaches for determining the composition and metabolic functions of complete microbial communities. Conventional metaproteomics approaches however, rely on the construction of protein sequence databases and efficient peptide-spectrum matching algorithms. Thereby, very large sequence databases impact on computational efforts and sensitivity. More recently, advanced de novo sequencing strategies--which annotate peptide sequences without the requirement for a database--have become (again) increasingly proposed for proteomics applications. Such approaches would vastly expand many metaproteomics applications by enabling rapid community profiling and by capturing unsequenced community members, which otherwise remain inaccessible for further interpretation. Nevertheless, because of the lack of efficient pipelines and validation procedures, those strategies have only rarely been employed for community proteomics. Here we report on a newly established de novo metaproteomics pipeline which was evaluated for its quantitative performance using synthetic and natural communities. Additionally, we introduce a novel validation strategy and investigate the actual content of community members within community proteomics data.

systems biology↗

Revealing metabolic flexibility of Candidatus Accumulibacter phosphatis through redox cofactor analysis and metabolic network modeling

Candidatus Accumulibacter phosphatis, a polyphosphate accumulating organism (PAO) growing under alternating anaerobic/aerobic conditions in enhanced biological phosphorus removal (EBPR) systems, displays an intricate metabolic strategy. The organism relies on combining features from either anaerobic- or aerobic-only metabolisms and connecting phases using different reserve polymers. Analysis of the metabolic functions is not trivial, specially without isolates of this microorganism available and without employing advanced metabolic modelling techniques. So far, there is no consensus regarding the type of glycolysis nor the operating mode of the tricarboxylic acid cycle anaerobically. Here, we simulated different conditions using flux balance analyses and a reduced central carbon metabolic network based on previously published meta-omics data and validated with enzyme activity assays. Interestingly, we observed that the polyhydroxyalkanoates (PHA) production was NADH preferring instead of the commonly reported NADPH dependency. This feature allows for higher metabolic flexibility while maintaining a near-optimal carbon conservation and without extra energetic costs, which explains PAOs competitiveness under anaerobic/aerobic shifting environments.

microbiology↗