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Original articles

Molecular characterization of chicken infectious anaemia virus (CIAV) in China during 2020–2021

, , , , , , , & show all
Pages 119-127 | Received 16 Aug 2022, Accepted 29 Nov 2022, Published online: 22 Dec 2022
 

ABSTRACT

Chicken infectious anaemia virus (CIAV) has been identified as the causative agent of chicken infectious anaemia (CIA), causing huge economic losses to the poultry industry globally. In this study, a total of 573 clinical samples were collected from 197 broiler farms in 17 provinces of China during 2020-2021. Among them, 375 samples (375/573, 65.4%) were positive for CIAV by real-time PCR. The positive rate of CIAV detection between different regions of China ranged from 46.67% (North China) to 81.25% (Central China). The nucleotide sequences of the VP1 gene were obtained for 91 CIAV strains, whole genome sequencing was successful for 72 out of 91 strains. Phylogenetic analysis based on the VP1 gene revealed that 91 CIAV strains currently circulating in China belong to three genotypes (II, IIIa and IIIb), and most of the CIAV strains belong to genotype IIIa. Phylogenetic analysis of the whole genome showed that 71 CIAV strains belong to genotype IIIa, and one strain belongs to genotype II. Sequence analysis showed several amino acid substitutions in both the VP1, VP2 and VP3 proteins. Our results enhance the understanding of the molecular characterization of CIAV infection in China.

RESEARCH HIGHLIGHTS

  • A molecular systematic survey of CIAV in China during 2020-2021.

  • CIAV genotype IIIa is the predominant genotype in China.

Ethical statement

All animal experiments were carried out strictly in accordance with the “Guidelines for Experimental Animals” of the Ministry of Science and Technology (Beijing, China). Permission was issued for the field studies, and all of the owners of the farms gave informed consent to perform the study on this site.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This study was supported by the Guangdong Basic and Applied Basic Research Foundation [grant number 2019B1515210008].

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