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Comparison of 16S and COX1 genes mitochondrial regions and their usefulness for genetic analysis of ticks (Acari: Ixodidae). | LitMetric

Comparison of 16S and COX1 genes mitochondrial regions and their usefulness for genetic analysis of ticks (Acari: Ixodidae).

Biomedica

Grupo de Investigaciones Biomedicas, Universidad de Sucre, Sincelejo, Colombia Grupo BIOGEM, Universidad Nacional de Colombia, Medellín, Colombia.

Published: June 2016

AI Article Synopsis

  • Mitochondrial gene analysis, particularly of the 16S and COX1 genes, has become important for studying tick populations and their evolutionary relationships.
  • The study evaluated these genes in three tick species found in the Caribbean region of Colombia, revealing the effectiveness of both for identifying species and understanding genetic variations.
  • Results showed that the 16S gene is better for comparing different species due to its genetic divergence, whereas COX1 is more suited for examining genetic differences within the same species.

Article Abstract

Introduction: In recent decades the analysis of mitochondrial genes has been used for population and phylogenetic studies of ticks allowing many advances in their systematics. Mitochondrial ribosomal 16S (16S) subunit is one of the most frequently used among those genes available for tick analysis, whereas cytochrome oxidase gene 1 (COX1) has recently been used and proposed as an alternative to the traditional 16S gene marker. 

Objective: To evaluate the usefulness of 16S and COX1 in genetic studies of ticks by analyzing sequences of three species commonly found in the Caribbean region of Colombia. 

Results: The analysis of both genes sequences allowed us to identify the three species with high levels of confidence and interspecific genetic divergence (19-22%), although only COX1 allowed us to detect intraspecific genetic variability (up to ~0.8%). A substitution saturation analysis indicated that the 16S gene was not saturated with transitions while the COX1 gene showed saturation distances starting at ~17%. 

Conclusion: Our results indicated that the 16S gene seems to have better features for interspecific phylogenetic analyses because of its high level of genetic divergence and low saturation pattern, while the COX1 gene appears to be more useful for intraspecific genetic variability studies. However, as our study was conducted at a local scale, future studies at different biogeographical scales would help to establish its usefulness in wider and more complex scenarios.

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Source
http://dx.doi.org/10.7705/biomedica.v36i2.3116DOI Listing

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