Phylogeny landscape of Ornithobacterium rhinotracheale isolates from poultry in Iran based on 16S rRNA gene analysis

Document Type : Original Articles

Authors

1 Razi Vaccine and Serum Research Institute, Agricultural Research Education and Extension Organization, Karaj

2 Department of Research and Development, Razi Vaccine and Serum Research Institute, Agricultural Research Education and Extension Organization (AREEO), Marand, Iran.

3 Department of Poultry Diseases, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran

10.22092/ari.2024.365008.3030

Abstract

Ornithobacterium rhinotracheale (ORT) is one of the most important bacterial agents of respiratory diseases causing significant economic losses to the poultry industry. Partial 16S rRNA gene sequences of ORT isolates originating from different geographical areas in Iran have been deposited in the GenBank database from 2011 to now. The present study intended to evaluate the molecular evolution of ORT isolates. For this purpose, a dataset of 16S rRNA gene sequences of 48 field strains derived from outbreaks on poultry farms and one reference strain were investigated phylogenetically and evolutionally using a series of substitution pattern homogeneity, nucleotide diversity, and neutrality assays. The phylogenetic tree based on the 16S rRNA gene showed a large clade A and a distinct clade B including six sequences from the recent ORT isolates. Most of the isolates were homogeneous and clustered together independent of the geographical origin of the isolation. Evolutionary inference indicated that a molecular divergence influences the genetic diversity of ORT isolates. The Tajima's D statistic value was negative (-1.46), an R-value of 1.399 was obtained in the case of Transition/Transversion bias, and the dN/dS ratio was estimated higher for clade B. These data indicated increasing trends of selection pressure acting on the 16S rRNA gene of recent ORT isolates in Iran. The phylogeny analysis and evolutionary affiliations of the ORT 16S rRNA gene are expected to be effective in the monitoring of the strains for antibiotic resistance and selection pressure. These phylogenic relationships have the potential to be determinative in the selection of the best vaccine candidate strain.

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Archives of Razi Institute

Articles in Press, Accepted Manuscript
Available Online from 13 April 2024

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