The study of dynamic changes in genetic heterogeneity can shed light on the
evolution of viruses because it is known that the genetic variety of viral
populations within their hosts affects disease progression, treatment outcome,
medication resistance, cell tropism and transmission risk. Our study's primary
goal is to identify trends in the genetic makeup and variety of human
adenoviruses using samples taken from children who attend two distinct tertiary
hospitals in Southern Nigeria's Benin City and Nnewi. In Benin City and Nnewi,
330 pediatric patients' samples from tertiary hospitals were gathered and after
DNA extraction and Sanger sequencing, the samples were examined. The
obtained genetic information matrix was used to calculate the Jaccard similarity
index, genetic distance and genetic diversity studies. According to the Analysis of
Molecular Variance (AMOVA), this variation was more evenly distributed within
each site's population (97%) than it was between them (3%). The effective number
of alleles Ne, which represents genetic diversity at the population level, was 2.358
for Benin City and 2.255 for Nnewi, respectively. This shows that each of the
studied loci had an average of 2.358 and 2.255 alleles per locus in these two
populations. As a result, Nnewi has less genetic diversity of human adenovirus
than Benin.
Keywords: Genetic diversity, human adenovirus, AMOVA, loci, children,
population