Comprehensive analysis of codon usage pattern in Withania somnifera and its associated pathogens: Meloidogyne

Jyoti Chandan1,2, Suruchi Gupta3, Vikash Babu1,2

  • 1CSIR-Indian Institute of Integrative Medicine, Jammu, 18000, India.

Genetica
|April 14, 2022
PubMed

Insights

This study reveals that codon usage bias in Withania somnifera, its root-knot nematode (Meloidogyne incognita), and fungal parasite (Alternaria alternata) is weakly biased. Evolutionary forces like mutation and natural selection shape this bias, influencing pathogen adaptability.

Area of Science:

  • Genomics
  • Evolutionary Biology
  • Plant Pathology

Background:

  • Withania somnifera is a vital medicinal plant susceptible to parasites like Meloidogyne incognita (root-knot nematode) and Alternaria alternata (fungus).
  • Understanding the evolutionary adaptation of these pathogens to their host is crucial for managing infections.

Purpose of the Study:

  • To analyze the evolutionary patterns and codon usage bias (CUB) in Withania somnifera, Meloidogyne incognita, and Alternaria alternata.
  • To investigate the influence of evolutionary forces on CUB in the host-pathogen system.

Main Methods:

  • Nucleotide analysis to determine genome bias (A-T vs. GC).
  • Codon Usage Bias (CUB) analysis.
  • Neutrality plots and Correspondence analysis to infer evolutionary forces (mutation vs. natural selection).

Main Results:

  • Weak CUB was observed across all three organisms.
  • Withania somnifera and Meloidogyne incognita exhibited A-T biased genomes, while Alternaria alternata showed a GC-biased genome.
  • A higher similarity in CUB patterns was found between the host and nematode compared to the host and fungus.
  • Mutation predominantly influenced CUB in W. somnifera and M. incognita, whereas natural selection was the primary driver for A. alternata.

Conclusions:

  • Both evolutionary forces and CUB play significant roles in the adaptability of pathogens to the host environment.
  • The findings provide insights into the establishment of parasitic relationships through pathogen adaptation mechanisms.

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