Targeted sequencing analysis of Mycoplasma gallisepticum isolates in chicken layer and breeder flocks in Thailand

Arithat Limsatanun1, Somsak Pakpinyo2, Kriengwich Limpavithayakul2

  • 1Faculty of Veterinary Science, Prince of Songkla University, Hat Yai, Kho Hong, Songkhla, 90110, Thailand. arithat.l@psu.ac.th.

Scientific Reports
|June 14, 2022
PubMed

Insights

To effectively identify Mycoplasma gallisepticum (MG) in poultry, utilizing at least two partial genes, particularly gapA and mgc2, is crucial for differentiating isolates. This helps in understanding poultry disease dynamics.

Area of Science:

  • Veterinary Microbiology
  • Poultry Health
  • Molecular Epidemiology

Background:

  • Mycoplasma gallisepticum (MG) is a significant poultry pathogen causing respiratory disease and economic losses globally.
  • Conventional PCR is widely used for MG identification in developing countries.
  • Characterizing local MG strains is essential for effective disease management.

Purpose of the Study:

  • To genetically characterize Mycoplasma gallisepticum isolates from Thai poultry farms.
  • To evaluate the utility of gene-targeted sequencing (GTS) and phylogenetic analysis for differentiating MG strains.
  • To determine the minimum number of genes required for accurate MG isolate classification.

Main Methods:

  • Collected 24 MG isolates from unvaccinated Thai chicken farms (2002-2020).
  • Performed gene-targeted sequencing (GTS) on partial genes (mgc2, gapA, pvpA, lp).
  • Conducted phylogenetic analysis using the unweighted pair group method with arithmetic mean (UPGMA).

Main Results:

  • Thai MG isolates showed genetic variations compared to vaccine strains (F, ts-11, 6/85).
  • One isolate exhibited high genetic similarity to the F strain, suggesting potential vaccine contamination.
  • Phylogenetic analysis revealed distinct groupings based on individual gene sequences: 7 (mgc2), 11 (gapA), 7 (pvpA), and 2 (lp).

Conclusions:

  • At least two partial MG genes are necessary for reliable differentiation of isolates.
  • Partial gapA and mgc2 genes are particularly effective for classifying Mycoplasma gallisepticum.
  • This study provides insights into the genetic diversity of MG in Thailand and aids in diagnostic improvements.

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