Affiliation:
1. China Tobacco Gene Research Center, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou 450001, China
Abstract
Background:
Blattella germanica is a widespread urban invader insect that can spread
numerous types of human pathogens, including bacteria, fungi, and protozoa. Despite the medical
significance of B. germanica, the genetic diversity of this species has not been investigated across
its wide geographical distribution in China.
Objective:
In this study, the genetic variation of B. germanica was evaluated in central China.
Methods:
Fragments of the mitochondrial cytochrome c oxidase subunit I (COI) gene and the 16S
rRNA gene were amplified in 36 B. germanica isolates from 7 regions. The sequence data for COI
and 16S rRNA genes were analyzed using bioinformatics methods.
Results:
In total, 13 haplotypes were found among the concatenated sequences. Each sampled
population, and the total population, had high haplotype diversity (Hd) that was accompanied by
low nucleotide diversity (Pi). Molecular genetic variation analysis indicated that 84.33% of the genetic
variation derived from intra-region sequences. Phylogenetic analysis indicated that the B.
germanica isolates from central China should be classified as a single population. Demographic
analysis rejected the hypothesis of sudden population expansion of the B. germanica population.
Conclusion:
The 36 isolates of B. germanica sampled in this study had high genetic variation and
belonged to the same species. They should be classified as a single population. The mismatch distribution
analysis and BSP analysis did not support a demographic population expansion of the B.
germanica population, which provided useful knowledge for monitoring changes in parasite populations
for future control strategies.
Funder
Young Elite Scientists Sponsorship Program By CAST
Science and Technology Development Foundation of the President of Zhengzhou Tobacco Research Institute
Publisher
Bentham Science Publishers Ltd.
Subject
Computational Mathematics,Genetics,Molecular Biology,Biochemistry
Cited by
1 articles.
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1. Special Issue on Plant Bioinformatics;Current Bioinformatics;2019-09-17