Biology subjects

Elgart, M.

Publications and source records attributed to Elgart, M..

3 recordsLinked to original sources

bioRxiv2023

CoSMIC - A hybrid approach for large-scale, high-resolution microbial profiling of novel niches

Standard microbial profiling based on 16S rRNA (16S) sequencing suffers from a lack of primer universality, primer biases and often yields low resolution. We introduce Comprehensive Small Ribosomal Subunit Mapping and Identification of Communities (CoSMIC), addressing these challenges, especially in unexplored niches. CoSMIC begins with long-read sequencing of the full-length 16S gene, amplified by generic Locked Nucleic Acid primers over pooled samples, thus augmenting reference databases with novel niche-specific gene sequences. Subsequently, CoSMIC amplifies multiple non-consecutive variable regions along the gene, followed by short-read sequencing of each sample. Data from the different regions are integrated using the SMURF framework, alleviating primer biases and providing de-facto full gene resolution. Using a mock community, CoSMIC identified full-length 16S genes with significantly higher specificity and sensitivity while dramatically increasing resolution compared to standard methods. Evaluating CoSMIC across environmental samples provided higher accuracy and unprecedented resolution while detecting thousands of novel full-length 16S sequences.

molecular biology↗

bioRxiv2018

Organ transformation by environmental disruption of epigenetic memory

Despite major progress in mechanistic understanding of epigenetic reprogramming of cells, the basis of organ reprograming by (epi-)gene-environment interactions remained largely obscured. Here we use the ether-induced haltere-to-wing transformations as a model for epigenetic "reprogramming" at the whole organism level. Our findings support a mechanistic chain of events explaining why and how brief embryonic exposure to ether leads to organ transformation manifested at the larval stage and on. We show that ether interferes with protein integrity in the egg leading to altered deployment of Hsp90 and repression of Trithorax-mediated establishment of H3K4 tri-methylations. This repression pre-disposes early methylated Ubx targets and wing genes for later up-regulation in the larval haltere disc, hence the wing-like outcome. Consistent with compromised protein integrity during the exposure, the severity of bithorax transformation is increased by genetic or chemical reduction of Hsp90 function. Moreover, a joint reduction in Hsp90 and trx gene dosage can cause bithorax transformations without exposure to ether. These findings implicate environmental disruption of protein integrity at the onset of histone methylations with a modification of epigenetic memory, which in turn, supports a morphogenetic shift towards an ancestral-like body plan. The morphogenetic impact of chaperone response during a major setup of epigenetic patterns may be a general scheme for organ reprogramming by environmental cues.

developmental biology↗

bioRxiv2017

Combining 16S rRNA gene variable regions enables high-resolution microbial community profiling

BackgroundMost of our knowledge about the remarkable microbial diversity on Earth comes from sequencing the 16S rRNA gene. The use of next-generation sequencing methods has increased sample number and sequencing depth, but the read length of the most widely used sequencing platforms today is quite short, requiring the researcher to choose a subset of the gene to sequence (typically 16-33% of the total length). Thus, many bacteria may share the same amplified region and the resolution of profiling is inherently limited. Platforms that offer ultra long read lengths, whole genome shotgun sequencing approaches, and computational frameworks formerly suggested by us and by others, all allow different ways to circumvent this problem yet suffer various shortcomings. There is need for a simple and low cost 16S rRNA gene based profiling approach that harnesses the short read length to provide a much larger coverage of the gene to allow for high resolution, even in harsh conditions of low bacterial biomass and fragmented DNA.\n\nResultsThis manuscript suggests Short MUltiple Regions Framework (SMURF), a method to combine sequencing results from different PCR-amplified regions to provide one coherent profiling. The de facto amplicon length is the total length of all amplified regions, thus providing much higher resolution compared to current techniques. Computationally, the method solves a convex optimization problem that allows extremely fast reconstruction and requires only moderate memory. We demonstrate the increase in resolution by in silico simulations and by profiling two mock mixtures and real-world biological samples. Reanalyzing a mock mixture from the Human Microbiome Project achieved about two-fold improvement in resolution when combing two independent regions. Using a custom set of six primer pairs spanning about 1200bp (80%) of the 16S rRNA gene we were able to achieve ~100 fold improvement in resolution compared to a single region, over a mock mixture of common human gut bacterial isolates. Finally, profiling of a Drosophila melanogaster microbiome using the set of six primer pairs provided a ~100 fold increase in resolution, and thus enabling efficient downstream analysis.\n\nConclusionsSMURF enables identification of near full-length 16S rRNA gene sequences in microbial communities, having resolution superior compared to current techniques. It may be applied to standard sample preparation protocols with very little modifications. SMURF also paves the way to high-resolution profiling of low-biomass and fragmented DNA, e.g., in the case of Formalin-fixed and Paraffin-embedded samples, fossil-derived DNA or DNA exposed to other degrading conditions. The approach is not restricted to combining amplicons of the 16S rRNA gene and may be applied to any set of amplicons, e.g., in Multilocus Sequence Typing (MLST).

bioinformatics↗