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RNA sequencing of poultry samples from six different farms of north and south Kuwait.

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NIAID Data Ecosystem2026-05-01 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP474019
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Considering the persistent threat of recurrent outbreaks and the potential emergence of highly pathogenic strains through mutational events, vigilant monitoring of viral diseases in live birds has become imperative in Kuwait. This study employed RNA sequencing as a pivotal component of a comprehensive surveillance strategy, focusing on the detection of viral pathogens, particularly the low pathogenic avian influenza (LPAIV) groups, within local chicken and avian populations. The primary objective was to offer epidemiological insights into the status of LPAIVs, encompassing an assessment of associated risk factors and an analysis of the spatial and temporal distribution of the disease, facilitated by advanced molecular diagnostic methods such as RT-PCR and Next Generation Sequencing (NGS) of RNA from blood, cloacal swab, and tracheal swab samples of poultry. The samples were collected from six different farms located in the northern and southern region of Kuwait. The resulting dataset serves as a valuable resource for researchers, enabling investigations into the diversity of viral communities across various tissues and aiding in the identification of optimal tissue sources for subsequent screening efforts. The availability of such extensive datasets holds significant potential to guide decision-making processes for researchers and policymakers involved in the control and prevention of re-emergent viral pathogens.
创建时间:
2023-12-10
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