Publications by authors named "E Mahenthiralingam"

Here, we report the genome sequence of BCC0191, a biopesticide originally isolated from the barley rhizosphere. The genome was assembled using an Illumina-Nanopore hybrid approach and consisted of 7.62 Mbp distributed across three replicons.

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Background: The prevalence of fungi in cystic fibrosis (CF) lung infections is poorly understood and studies have focused on adult patients. We investigated the fungal diversity in children with CF using bronchoalveolar lavage (BAL) and induced sputum (IS) samples to capture multiple lung niches.

Methods: Sequencing of the fungal ITS2 region and molecular mycobiota diversity analysis was performed on 25 matched sets of BAL-IS samples from 23 children collected as part of the CF-SpIT study (UKCRN14615; ISRCTNR12473810).

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Extensive crop losses are caused by oomycete and fungal damping-off diseases. Agriculture relies heavily on chemical pesticides to control disease, but due to safety concerns multiple agents have been withdrawn. were successfully used as commercial biopesticides because of their fungicidal activity and plant protective traits.

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Article Synopsis
  • The study focuses on a major lung pathogen in cystic fibrosis patients, highlighting gaps in knowledge regarding its population biology and model strains.
  • A phylogenomic analysis of 283 genomes revealed two evolutionary lineages, with distinctions made using comparative genomics to identify unique lineage-specific genes.
  • Three model strains were established for further research, showing significant potential for use in future studies, including their abilities to survive in a murine lung infection model.
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The home and personal care (HPC) industry generally relies on initial cultivation and subsequent biochemical testing for the identification of microorganisms in contaminated products. This process is slow (several days for growth), labour intensive, and misses organisms which fail to revive from the harsh environment of preserved consumer products. Since manufacturing within the HPC industry is high-throughput, the process of identification of microbial contamination could benefit from the multiple cultivation-independent methodologies that have developed for the detection and analysis of microbes.

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