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Misra, R.

Publications and source records attributed to Misra, R..

2 recordsLinked to original sources

City life: airborne DNA metagenomic biodiversity monitoring reveals dynamic changes across time and space

Airborne environmental DNA can capture biodiversity across the tree of life, but low sample biomass makes rapid, untargeted detection technically challenging. We combined 45-min air collection, nanopore sequencing and real-time taxonomic analysis in a shotgun metagenomic workflow capable of producing results within 3 hours. Across 77 samples from 13 London sites, including a year of weekly sampling at the Natural History Museum Wildlife Garden, we detected 1,916 species spanning bacteria, fungi, plants and animals. Communities varied spatially and seasonally, shifting from plant dominance in spring to ascomycete dominance in summer and basidiomycete dominance in late autumn and winter. Plant read abundance increased with upwind vegetation, linking airborne signals to surrounding habitat. Detection of catalogued garden plants depended on reference availability, dispersal biology, plant size and proximity to the collector. Together, these findings establish airborne shotgun metagenomics as a platform for rapid, repeated and scalable biodiversity assessment across space and time.

ecology

Rapid whole genome amplification and sequencing of low cell numbers in a bacteraemia model

Whilst next generation sequencing is frequently used to whole genome sequence bacteria from cultures, its rarely applied directly to clinical samples. Therefore, this study addresses the issue of applying NGS microbial diagnostics directly to blood samples. To demonstrate the potential of direct from blood sequencing a bacteria spiked blood model was developed. Horse blood was spiked with clinical samples of E. coli and S. aureus, and a process developed to isolate bacterial cells whilst removing the majority of host DNA. One sample of each isolate was then amplified using {phi}29 multiple displacement amplification (MDA) and sequenced. The total processing time, from sample to amplified DNA ready for sequencing was 3.5 hours, significantly faster than the 18-hour overnight culture step which is typically required. Both bacteria showed 100% survival through the processing. The direct from sample sequencing resulted in greater than 92% genome coverage of the pathogens whilst limiting the sequencing of host genome (less than 7% of all reads). Analysis of de novo assembled reads allowed accurate genotypic antibiotic resistance prediction. The sample processing is easily applicable to multiple sequencing platforms. Overall this model demonstrates potential to rapidly generate whole genome bacterial data directly from blood.

microbiology