Project description:Glaciers, which form due to the accumulation of snow, play a crucial role in providing freshwater resources, supporting river systems, and maintaining ecosystem stability. Pakistan is habitat to over 5000 glaciers, primarily located in the Hindukash, Himalaya, and Karakoram mountain ranges. Understanding the microbial communities thriving in these extreme environments becomes of utmost importance. These glaciers offer a unique perspective on extremophile adaptation, as they harbor microorganisms that are capable of surviving and thriving under harsh conditions. Glacial melting poses a significant threat to ancient microbiomes, potentially leading to the resurgence of epidemics and exposure of life to paleomicrobiota. Mostly glacial microbiome is evenly distributed and shows similar diversity. With the threat of resurrection of ages old microbiome and its incorporation into the waters have raised a major concern for revival of epidemics and exposure of life with paleanmicrobiota again. This has led the scientist to deeply observe the bacterial flora embedded in the cryonite holes of glaciers. This study aims to investigate the bacterial diversity within various glaciers of Pakistan using metagenomic techniques. Kamri, Burzil, Siachin, Baltoro, Shigar Basin, Biafo and Panama Glaciers designated from G1 to G7 respectively were chosen from Pakistan. Through rigorous physicochemical analyses, distinct characteristics among glaciers are revealed, including variations in temperature, depth, electrical conductivity, pH levels, and nutrient concentrations. The exploration of alpha diversity, employing metrics such as Chao1, Shannon, Simpson, and Inverse Simpson indices, offers valuable insights into the richness, evenness, and dominance of species within different samples. Beta diversity was calculated by using R software. The vegan package was used for NMSD, cluster and PCoA analysis based on Bray-Curtis distance. PCA analysis was done by using prcomp package from R software. Based on OTU abundance and environmental factor data, DCA analysis was done to determine the linear model from the gradient value (RDA) and the unimodal model (CCA). results were compiled by drawing cluster dendrogram which predicts the patterns of similarity and dissimilarity between different samples. Notably, phyla Proteobacteria emerge as the dominant phylum, accompanied by Actinobacteria, Firmicutes, and Bacteroidetes. The dendrogram shows five clusters, with close similarity between G1 and G4, glacier samples G3 and G8, and G2 and G7. Seasonal variations in glacier physicochemical properties were also observed, with summer samples having shallower depths, lower temperatures, and slightly acidic pH. In contrast, winter samples have higher electrical conductivity and sulfur content. Ultimately, this research provides a foundational framework for comprehending glacier ecosystems, their resident microbial communities, and their broader ecological significance. The study highlights the potential public health risks linked to the release of ancient microorganisms due to climate change, emphasizing the need for comprehensive monitoring and research to mitigate potential public health threats.

Project description:BackgroundMany randomised controlled trials (RCTs) struggle to recruit, despite valiant efforts. The QRI (QuinteT Recruitment Intervention) uses innovative research methods to optimise recruitment by revealing previously hidden barriers related to the perceptions and experiences of recruiters and patients, and targeting remedial actions. It was designed to be integrated with RCTs anticipating difficulties at the outset. A new version of the intervention (QRI-Two) was developed for RCTs already underway with enrolment shortfalls.MethodsQRIs in 12 RCTs with enrolment shortfalls during 2007-2017 were reviewed to document which of the research methods used could be rapidly applied to successfully identify recruitment barriers. These methods were then included in the new streamlined QRI-Two intervention which was applied in 20 RCTs in the USA and Europe during 2018-2019. The feasibility of the QRI-Two was investigated, recruitment barriers and proposed remedial actions were documented, and the QRI-Two protocol was finalised.ResultsThe review of QRIs from 2007 to 2017 showed that previously unrecognised recruitment barriers could be identified but data collection for the full QRI required time and resources usually unavailable to ongoing RCTs. The streamlined QRI-Two focussed on analysis of screening/accrual data and RCT documents (protocol, patient-information), with discussion of newly diagnosed barriers and potential remedial actions in a workshop with the RCT team. Four RCTs confirmed the feasibility of the rapid application of the QRI-Two. When the QRI-Two was applied to 14 RCTs underway with enrolment shortfalls, an array of previously unknown/underestimated recruitment barriers related to issues such as equipoise, intervention preferences, or study presentation was identified, with new insights into losses of eligible patients along the recruitment pathway. The QRI-Two workshop enabled discussion of the newly diagnosed barriers and potential remedial actions to improve recruitment in collaboration with the RCT team. As expected, the QRI-Two performed less well in six RCTs at the start-up stage before commencing enrolment.ConclusionsThe QRI-Two can be applied rapidly, diagnose previously unrecognised recruitment barriers, and suggest remedial actions in RCTs underway with enrolment shortfalls, providing opportunities for RCT teams to develop targeted actions to improve recruitment. The effectiveness of the QRI-Two in improving recruitment requires further evaluation.

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