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Aydin, A.

Publications and source records attributed to Aydin, A..

6 recordsLinked to original sources

EPF/EPFL Peptide Signaling as a Regulatory Node Linking Stomatal Development to Drought and Heat Tolerance in Tomato (Solanum lycopersicum L.)

Stomatal development and function are tightly regulated by signaling peptides with distinct, overlapping, or antagonistic roles in gas exchange and water balance. EPIDERMAL PATTERNING FACTOR (EPF) / EPF-LIKE (EPF/EPFL) family is a founding member of the secreted peptide family that regulates stomatal patterning. The roles of EPF/EPFL genes in tomato responses to drought, heat, and combined drought-heat stress remain largely unexplored. To characterize the EPF/EPFL gene family and elucidate its potential regulatory roles in stomatal development, 15 family members were identified in S. lycopersicum L. All 15 candidate SlEPF proteins contained an EPF-type domain. Of these, 13 exhibited specific matches to the EPF domain, whereas SlEPF6 was classified within the EPF superfamily and SlEPF11 within the STOMAGEN-like superfamily. Phylogenetic analysis grouped EPF genes from diverse plant species into two major clades (A and B), each comprising distinct evolutionary subgroups. GO annotation indicated that most SlEPF genes were involved in stomatal complex development and guard cell differentiation, with molecular functions associated with MAP kinase activity, receptor serine/threonine kinase binding, and receptor ligand activity. Promoter analysis of SlEPF genes identified diverse cis-regulatory elements potentially involved in the regulation of environmental stress responses and plant development. Expression analysis of five putative stress-responsive genes (SlEPF5, SlEPF8, SlEPF9, SlEPF10, and SlEPF13) revealed distinct transcriptional patterns in the heat-tolerant drought-sensitive Money Maker (MM) and drought-tolerant Ailsa Craig (AC) tomato genotypes under drought, heat, and combined drought-heat stress. In MM, SlEPF5 and SlEPF13 were consistently downregulated across all stress conditions, whereas SlEPF8 was strongly induced under drought and combined stress. In contrast, AC showed broader transcriptional activation, particularly under heat and combined stress. Overall, these contrasting expression profiles suggest genotype- and stress-dependent regulation of SlEPF genes, highlighting their potential involvement in tomato abiotic stress responses.

plant biology↗

Characterising the microbial and antimicrobial resistance signatures of hospital-acquired pneumonia using nanopore metagenomic sequencing

Hospital-acquired pneumonia (HAP) is a significant burden in nosocomial settings, yet its microbial underpinnings remain poorly understood. Here, we leverage shotgun nanopore sequencing to characterise the respiratory microbiomes of 250 HAP patients in a UK multi-site cohort, validating these using paired PCR and culture assays. Sequencing identified the dominant microbes implicated in HAP, including detection of probable pathogens in 49 PCR- and culture-negative cases. We found a high prevalence of fungi in 81/239 (34%) in HAP patients, of whom 26/81 (32%) were PCR/culture-negative, suggesting that fungi may represent an under-investigated component of HAP, whether as colonists or pathogens. Although HAP is clinically sub-categorised based on the use and duration of ventilation before disease onset, we found that the microbial profiles of these sub-groups were indistinguishable. We also found a concerningly high proportion of multi-drug-resistant microbes in HAP patients, with 21% of assembled bacterial genomes harbouring acquired antimicrobial resistance (AMR) genes that confer resistance to at least three classes of antimicrobials. This included high AMR gene carriage associated to Staphylococcus epidermidis, which may be an important reservoir of AMR, though typically viewed as a commensal. Our work provides extensive metagenomic characterisation of HAP, underscores the value of metagenomics in describing its complex aetiology, and further prompts its potential role for pathogen detection, resistance profiling and treatment.

microbiology↗

Linking carbohydrate structure with function in the human gut microbiome using hybrid metagenome assemblies

BackgroundComplex carbohydrates that escape digestion in the small intestine, are broken down in the large intestine by enzymes encoded by the gut microbiome. This is a symbiotic relationship between particular microbes and the host, resulting in metabolic products that influence host gut health and are exploited by other microbes. However, the role of carbohydrate structure in directing microbiota community composition and the succession of carbohydrate-degrading microbes is not fully understood. Here we take the approach of combining data from long and short read sequencing allowing recovery of large numbers of high quality genomes, from which we can predict carbohydrate degrading functions, and impact of carbohydrate on microbial communities. ResultsIn this study we evaluate species-level compositional variation within a single microbiome in response to six structurally distinct carbohydrates in a controlled model gut using hybrid metagenome assemblies. We identified 509 high-quality metagenome-assembled genomes (MAGs) belonging to ten bacterial classes and 28 bacterial families. We found dynamic variations in the microbiome amongst carbohydrate treatments, and over time. Using these data, the MAGs were characterised as primary (0h to 6h) and secondary degraders (12h to 24h). Annotating the MAGs with the Carbohydrate Active Enzyme (CAZyme) database we are able to identify species which are enriched through time and have the potential to actively degrade carbohydrate substrates. ConclusionsRecent advances in sequencing technology allowed us to identify significant unexplored diversity amongst starch degrading species in the human gut microbiota including CAZyme profiles and complete MAGs. We have identified changes in microbial community composition in response to structurally distinct carbohydrate substrates, which can be directly related to the CAZyme complement of the enriched MAGs. Through this approach, we have identified a number of species which have not previously been implicated in starch degradation, but which have the potential to play an important role.

microbiology↗

Spatial Clustering of CD68+ Tumor Associated Macrophages with Tumor Cells is Associated with Worse Overall Survival in Metastatic Clear Cell Renal Cell Carcinoma

Immune infiltration is typically quantified using cellular density, not accounting for cellular clustering. Tumor-associated macrophages (TAM) activate oncogenic signaling through paracrine interactions with tumor cells, which may be better reflected by local cellular clustering than global density metrics. Using multiplex immunohistochemistry and digital pathologic analysis we quantified cellular density and cellular clustering for myeloid cell markers in 129 regions of interest from 55 samples from 35 patients with metastatic ccRCC. CD68+ cells were found to be clustered with tumor cells and dispersed from stromal cells, while CD163+ and CD206+ cells were found to be clustered with stromal cells and dispersed from tumor cells. CD68+ density was not associated with OS, while high tumor/CD68+ cell clustering was associated with significantly worse OS. These novel findings would not have been identified if immune infiltrate was assessed using cellular density alone, highlighting the importance of including spatial analysis in studies of immune cell infiltration of tumors. SIGNIFICANCEIncreased clustering of CD68+ TAMs and tumor cells was associated with worse overall survival for patients with metastatic ccRCC. This effect would not have been identified if immune infiltrate was assessed using cell density alone, highlighting the importance of including spatial analysis in studies of immune cell infiltration of tumors.

cancer biology↗

CoronaHiT: large scale multiplexing of SARS-CoV-2 genomes using Nanopore sequencing

The COVID-19 pandemic has spread to almost every country in the world since it started in China in late 2019. Controlling the pandemic requires a multifaceted approach including whole genome sequencing to support public health interventions at local and national levels. One of the most widely used methods for sequencing is the ARTIC protocol, a tiling PCR approach followed by Oxford Nanopore sequencing (ONT) of up to 96 samples at a time. There is a need, however, for a flexible, platform agnostic, method that can provide multiple throughput options depending on changing requirements as the pandemic peaks and troughs. Here we present CoronaHiT, a method capable of multiplexing up to 96 small genomes on a single MinION flowcell or >384 genomes on Illumina NextSeq, using transposase mediated addition of adapters and PCR based addition of barcodes to ARTIC PCR products. We demonstrate the method by sequencing 95 and 59 SARS-CoV-2 genomes for routine and rapid outbreak response runs, respectively, on Nanopore and Illumina platforms and compare to the standard ARTIC LoCost nanopore method. Of the 154 samples sequenced using the three approaches, genomes with [≥] 90% coverage (GISAID criteria) were generated for 64.3% of samples for ARTIC LoCost, 71.4% for CoronaHiT-ONT, and 76.6% for CoronaHiT-Illumina and have almost identical clustering on a maximum likelihood tree. In conclusion, we demonstrate that CoronaHiT can multiplex up to 96 SARS-CoV-2 genomes per MinION flowcell and that Illumina sequencing can be performed on the same libraries, which will allow significantly higher throughput. CoronaHiT provides increased coverage for higher Ct samples, thereby increasing the number of high quality genomes that pass the GISAID QC threshold. This protocol will aid the rapid expansion of SARS-CoV-2 genome sequencing globally, to help control the pandemic.

genomics↗

Identification of a Type IV CRISPR-Cas system located exclusively on IncHI1B/ IncFIB plasmids in Enterobacteriaceae

During an investigation of CRISPR carriage in clinical, multi-drug resistant, Klebsiella pneumoniae, a novel CRISPR-Cas system (which we have designated Type IV-B) was detected on plasmids from two K. pneumoniae isolates from Egypt (isolated in 2002-2003) and a single K. pneumoniae isolate from the UK (isolated in 2017). Sequence analysis of other genomes available in GenBank revealed that this novel Type IV-B CRISPR-Cas system was present on 28 other plasmids from various Enterobacteriaceae hosts and was never found on the chromosome. Type IV-B is found exclusively on IncHI1B/IncFIB plasmids and is associated with multiple putative transposable elements. Type IV-B has a single repeat-spacer array (CRISPR1) upstream of the cas loci with some spacers matching regions of conjugal transfer genes of IncFIIK/IncFIB(K) plasmids suggesting a role in plasmid incompatibility. Expression of the cas loci was confirmed in available clinical isolates by RT-PCR; indicating the system is active. To our knowledge, this is the first report describing a new subtype within Type IV CRISPR-Cas systems exclusively associated with IncHI1B/IncFIB plasmids. ImportanceHere, we report the identification of a novel subtype of Type IV CRISPR-Cas that is expressed and exclusively carried by IncHI1B/IncFIB plasmids in Enterobacteriaceae, demonstrating unique evolutionarily juxtaposed connections between CRISPR-Cas and mobile genetic elements (MGEs). Type IV-B encodes a variety of spacers showing homology to DNA from various sources, including plasmid specific spacers and is therefore thought to provide specific immunity against plasmids of other incompatible groups (IncFIIK/IncFIB(K)). The relationship between Type IV-B CRISPR-Cas and MGEs that surround and interrupt the system is likely to promote rearrangement and be responsible for the observed variability of this type. Finally, the Type IV-B CRISPR-Cas is likely to co-operate with other cas loci within the bacterial host genome during spacer acquisition.

microbiology↗