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    <identifier>10.57760/sciencedb.36547</identifier>
    <datestamp>2026-02-05T15:17:01Z</datestamp>
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  <dc:date>2026-02-05</dc:date>
  <dc:title>Whole-genome evolutionary dynamics of human parainfluenza virus type 3 in Shanghai, China, 2016&amp;ndash;2024</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.36547</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Human parainfluenza virus type 3 (HPIV-3) is a&amp;nbsp;major&amp;nbsp;viral&amp;nbsp;cause of acute respiratory infection (ARI), particularly in children, the elderly, and immunocompromised individuals. However,&amp;nbsp;the limited availability of whole-genome data has impeded progress in viral evolution,&amp;nbsp;vaccines, antiviral treatments, and&amp;nbsp;effective preventive strategies.&amp;nbsp;To address this gap, we conducted a comprehensive molecular evolutionary analysis of HPIV-3 based on whole-genome sequences obtained from clinical samples in Shanghai between 2016 and 2024. A total of 50 complete genomes were generated through a novel one-step amplification protocol combined with next-generation sequencing. Phylogenetic analysis revealed that all strains belonged to genotype C3. Time-scaled phylogenetic analysis estimated the tMRCA of HPIV-3 to be around 1925.55, earlier than previous estimates based on partial HN sequences, and revealed a stable population size prior to 1990 followed by two phases of sustained demographic expansion. Recombination events were detected in the HN gene and multiple other regions of the HPIV-3 genome. Entropy and selection pressure analyses demonstrated that the L gene showed the highest sequence variability and was the primary target of positive selection, emphasizing its role in viral evolution and adaptation. This study provides a comprehensive whole-genome&amp;ndash;based evolutionary analysis of HPIV-3 in China and underscores the value of full-genome sequencing for accurate lineage classification, molecular surveillance, and a deeper understanding of viral dynamics. Our findings highlight the importance of integrating genomic data into epidemiological monitoring to inform the development of vaccines and antiviral strategies.</dc:description>
  <dc:subject>Acute respiratory infections; Human Parainfluenza Virus; Human Parainfluenza Virus Type 3; Whole genome sequencing; Molecular virology</dc:subject>
  <dc:creator>ZHOU</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1016/j.virs.2026.07.005</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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