Comparative sequence analysis elucidates the evolutionary patterns of Yersinia pestis in New Mexico over thirty-two

Mary E Warren1, Brett E Pickett1, Byron J Adams2,3

  • 1Department of Microbiology and Molecular Biology, Brigham Young University, Provo, Utah, United States.

Peerj
|October 2, 2023
PubMed
Abstract

Insights

Genomic analysis of Yersinia pestis in the southwestern US reveals a single introduction event and identifies key genes under selection. This study enhances understanding of plague

Area of Science:

  • Microbiology
  • Evolutionary Biology
  • Genomics

Background:

  • Yersinia pestis is a Gram-negative bacterium responsible for plague.
  • This zoonotic pathogen became endemic in the western United States in 1899.
  • The bacterium occasionally infects humans, posing a public health risk.

Purpose of the Study:

  • To investigate the evolutionary history of Yersinia pestis in the southwestern United States.
  • To identify genetic variations and selection pressures within Y. pestis populations.
  • To determine the introduction and dissemination patterns of Y. pestis in the region.

Main Methods:

  • Sequencing and analysis of 22 novel Yersinia pestis genomes from New Mexico.
  • Bioinformatic analyses including sequence alignment, phylogenetic tree reconstruction, and selection pressure analysis.
  • Genotype-phenotype correlation and examination of nucleotide site variations over time.

Main Results:

  • Identified four genes, including Yscp and YPO3944, with codons under negative selection.
  • Observed 42 nucleotide sites with significant residue distribution skew correlated with isolation year.
  • Phylogenetic analysis indicated a single introduction of Y. pestis to the US and two independent movements into New Mexico.

Conclusions:

  • The study elucidates the evolutionary trajectory of Yersinia pestis in the southwestern US.
  • Confirmed a single origin and introduction of the pathogen into North America.
  • Highlighted specific genes (sapA, fliC, argD) associated with significant evolutionary variations.