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Keeling, G.

Publications and source records attributed to Keeling, G..

3 recordsLinked to original sources

Hunting for Helminths: short- and long-read shotgun metagenomics for parasite detection in faecal samples

Soil-transmitted helminths (STHs) pose significant challenges to public health in endemic areas, necessitating reliable methods for their detection. Shotgun metagenomics enables simultaneous detection of STHs and microbes in a sample without prior knowledge of what is present. However, validation of shotgun metagenomics with known infection intensity or across different sequencing platforms has not been carried out for eukaryote parasites including STHs, and false positives remain a pervasive issue. We validated shotgun metagenomics as a method of STH detection in faecal samples. Using the Strongyloides ratti laboratory model of a STH infection we investigated how analytical methods (nucleotide-nucleotide matching, nucleotide-protein matching, marker gene detection, mitochondrial mapping), infection intensity and sequencing technology (short-read vs. long-read) affects sensitivity and specificity of detection. S. ratti was accurately detected at a standard laboratory dose, but low intensity infections were more difficult to detect. Only mitochondrial sequence mapping was 100% accurate at identifying S. ratti with no false positives. Overall, short-read outperformed long-read sequencing methods. We applied the same analytical methods to human faecal samples with confirmed infections for at least one of four STHs. Mitochondrial sequence mapping was also the most effective method for detecting STHs in human faecal samples, detecting 100% of Necator americanus and 92% of Ascaris spp. infections, but could not reliably detect STHs where DNA levels are expected to be low or variable. In conclusion, mitochondrial mapping was the most effective method of detection for sensitivity and specificity in both the laboratory system and human faecal samples. Our findings indicate that shotgun metagenomics should be approached cautiously using validated methods, particularly when infection intensity or DNA levels are expected to be low. Author SummarySoil-transmitted helminths (STH) such as the parasite Strongyloides, are important gastrointestinal parasites of humans and livestock. Accurate methods of detection for diagnostics and monitoring are important to implement suitable control and treatment strategies. Here we validate a shotgun metagenomics approach, where all DNA in a sample is sequenced, for detecting STH in faecal samples using a Strongyloides laboratory model for infection. Strongyloides was reliability detected in faecal samples at higher infection levels, but mitochondrial genome mapping of the sequences was the only analytical method that reliably detected Strongyloides at lower infections levels. These results were reflected in stool samples from humans infected with STH, where mitochondrial mapping was also the most reliable method. However, species that were associated with low levels of parasite material or DNA in the faeces including Strongyloides stercoralis, were more difficult to detect. We compared two sequencing methods: short-read Illumina and long-read Oxford Nanopore Technologies, but short-read outperformed long-read shotgun metagenomics. Contamination of bacteria sequences in parasite genome assemblies was problematic for analysis and contributed to false positive results. Future work should focus on specific targeting of eukaryote DNA either at the laboratory or bioinformatic stage to improve STH detection further.

molecular biology↗

Identifying the multiple drivers of Cactus diversification

Many drivers of diversification have been identified across the angiosperm Tree of Life, ranging from abiotic factors, such as climate change, to biotic factors such as key adaptations. While this provides invaluable evolutionary insight into the rise of major angiosperm lineages, our understanding of the complexity underlying this remains incomplete. In species-rich families such as Cactaceae, simple explanations of triggers of diversification are insufficient. Their sheer morphological and ecological diversity, and wide distribution across heterogeneous environments, render the identification of key forces difficult. Cactus diversification is likely shaped by multiple drivers, which themselves interact in complex ways. This complexity is extremely difficult to disentangle, but applying modern analytical methods to extensive datasets offers a solution. Here, we investigate the heterogeneous diversification of the iconic Cactus family. We reconstruct a comprehensive phylogeny, build a dataset of 39 abiotic and biotic variables, and predict the variables of central importance to tip-speciation rate variation using Machine Learning. State-dependent diversification models confirm that a rich range of eleven abiotic and biotic variables filtered as important by Machine Learning shape Cactus diversification. Of highest importance is an atypical latitudinal gradient in speciation rates, which is spatially decoupled from richness hotspots. Of medium importance is plant size, shaped by growth form. Of lesser, but significant, importance is soil composition, bioclimate, topography, geographic range size, and chromosome count. However, it is unlikely that any one of these eleven variables is of primary importance without the complex interactions formed with others. Our results contribute to our understanding of one of the most iconic angiosperm families, while revealing the need to account for the complexity underlying macroevolution.

evolutionary biology↗

68Ga-Bisphosphonates for the Imaging of Extraosseous Calcification by Positron Emission Tomography

Radiolabelled bisphosphonates (BPs) and [18F]NaF (18F-fluoride) are the two types of radiotracers available to image calcium mineral in vivo (e.g. bone), yet only [18F]NaF has been widely explored for the non-invasive molecular imaging of extraosseous calcification (EC) using the highly sensitive nuclear imaging technique positron emission tomography (PET). These two radiotracers bind calcium mineral deposits via different mechanisms, with BPs chelating to calcium ions and thus being non-selective, and [18F]NaF being selective for hydroxyapatite (HAp) which is the main component of bone mineral. Taking into account that the composition of EC has been reported to include a diverse range of non-HAp calcium minerals, we hypothesised that BPs may be more sensitive for imaging EC due to their ability to bind to both HAp and non-HAp deposits. To test this hypothesis, we report a comparison between the 68Ga-labelled BP tracer [68Ga]Ga-THP-Pam and [18F]NaF for PET imaging in a rat model of EC that develops macro- and microcalcifications in several organs. The presence of macrocalcifications was identified using preclinical computed tomography (CT) and microcalcifications were identified using CT-based 3D X-ray histology (XRH) on isolated organs ex vivo. The morphological and mineral analysis of individual calcified deposits was performed using scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDX). The PET imaging and ex vivo analysis results demonstrated that while both radiotracers behave similarly for bone imaging, the BP-based radiotracer [68Ga]Ga-THP-Pam was able to detect EC more sensitively in several organs in which the mineral composition departs from that of HAp. We conclude that BP-based PET radiotracers such as [68Ga]Ga-THP-Pam have a particular advantage for the sensitive imaging and early detection of EC by being able to detect a wider array of relevant calcium minerals in vivo than [18F]NaF, and should be evaluated clinically for this purpose.

pharmacology and toxicology↗