Comparative Genomic and Transcriptomic Analysis of Naegleria fowleri Clinical and Environmental Isolates

Sandeep J Joseph1, Subin Park2, Alyssa Kelley2

  • 1Waterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Preventiongrid.416738.f, Atlanta, Georgia, USA.

Msphere
|August 11, 2021
PubMed

Insights

Naegleria fowleri causes a fatal brain infection. This study analyzed its genomes to find unique genes and understand its population structure, aiding in developing new detection methods.

Area of Science:

  • Microbiology
  • Genomics
  • Infectious Diseases

Background:

  • Naegleria fowleri is the only Naegleria species that infects humans, causing primary amebic meningoencephalitis (PAM), a devastating brain disease with a high fatality rate.
  • Despite extensive research, the specific pathogenic factors enabling N. fowleri to infect humans and breach the blood-brain barrier remain largely unknown.
  • Limited information exists regarding the genomic diversity within N. fowleri and among different Naegleria species.

Purpose of the Study:

  • To investigate the population structure and genetic relationships of Naegleria species, focusing on N. fowleri.
  • To identify potential pathogenic factors by comparing N. fowleri genomes with those of related species.
  • To generate novel genomic and transcriptomic data for N. fowleri to facilitate future research and surveillance.

Main Methods:

  • Whole-genome sequencing and analysis of 52 novel N. fowleri isolates (clinical and environmental) and one N. lovaniensis strain.
  • Comparative genomic analysis of 56 isolates across three Naegleria species (N. fowleri, N. lovaniensis, N. gruberi).
  • Transcriptomic analysis of 37 N. fowleri isolates and population structure analysis using whole-nuclear-genome phylogenetic methods.

Main Results:

  • Identification of several genes unique to N. fowleri, some previously linked to pathogenicity and others potentially novel virulence factors.
  • Population structure analysis revealed 10 distinct populations across the three species, with 7 within N. fowleri.
  • Phylogenetic analysis indicated geographical clustering of N. fowleri isolates, offering higher resolution than traditional typing methods. Gene expression analysis showed minimal differences between clinical and environmental isolates.

Conclusions:

  • The generated genomic data provide valuable insights into Naegleria species diversity and N. fowleri pathogenicity.
  • This resource can support the development of rapid molecular diagnostic assays for N. fowleri surveillance.
  • Future population-based genomic studies and integration with environmental metagenomic data can enhance the detection and understanding of this deadly pathogen.