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Identification of Campylobacter jejuni and Chlamydia psittaci from cockatiel (Nymphicus hollandicus) using metagenomics

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Background In July 2015, the carcasses of 11 cockatiels were submitted for disease diagnosis to the Avian Disease Division of the Animal and Plant Quarantine Agency of Korea. The cockatiels,… Click to show full abstract

Background In July 2015, the carcasses of 11 cockatiels were submitted for disease diagnosis to the Avian Disease Division of the Animal and Plant Quarantine Agency of Korea. The cockatiels, which appeared dehydrated and underweight, had exhibited severe diarrhea and 22 % mortality over 2 weeks. Traditional diagnosis did not reveal the causes of these symptoms. Methods We conducted metagenomics analysis on intestines and livers from the dead cockatiels using Illumina high-throughput sequencing. To obtain more accurate and longer contigs, which are required for further genetic characterization, we compared the results of three de novo assembly tools (metaSPAdes, MEGAHIT, and IDBA-UD). Results Sequence reads of Campylobacter jejuni ( C. jejuni ) and Chlamydia psittaci ( C. psittaci ) were present in most of the cockatiel samples. Either of these bacteria could cause the reported symptoms in psittaciformes. metaSPAdes (ver.3.14.1) identified the 1152 bp flaA gene of C. jejuni and the 1096 bp ompA gene of C. psittaci . Genetic analysis revealed that flaA of C. jejuni was recombinant between C. jejuni and Campylobacter coli , and that ompA of C. psittaci isolated from cockatiel was closely related to strains isolated from humans. Conclusions C. jejuni and C. psittaci were detected in cockatiels in the Republic of Korea using metagenomic analysis. This approach is useful for understanding pathogens of pet birds. Three de novo assemblers were compared to obtain accurate contigs from large quantities of reads, and sequences of C. jejuni and C. psittaci generated by metaSPAdes were analyzed.

Keywords: campylobacter jejuni; psittaci; jejuni chlamydia; jejuni; chlamydia psittaci

Journal Title: BMC Genomics
Year Published: 2021

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