4.5 Article

New Morphological and Molecular Data Reveal an Underestimation of Species Diversity of Mites of the Genus Geckobia (Acariformes: Pterygosomatidae) in India

Journal

DIVERSITY-BASEL
Volume 14, Issue 12, Pages -

Publisher

MDPI
DOI: 10.3390/d14121064

Keywords

Acari; biodiversity; scale mites; Hemidactylus; species delimitation; barcoding; phylogeny; ABGD

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This study focuses on Geckobia mites infesting geckos in the Gekkonidae family found in Bangalore, India. Through morphological identification and DNA barcode markers, five new species and three known species were identified. The study provides insights into the evolutionary relationships of the mites and highlights Hemidactylus frenatus as the most susceptible gecko species to mite infestations.
Mites of the genus Geckobia (Acariformes: Pterygosomatidae) are permanent and highly specialised ectoparasites of geckos (Gekkota). We conducted a local study on Geckobia mites associated with the geckos of the family Gekkonidae found mainly in the territory of the Indian Institute of Science's campus (Bangalore, India). In total, we examined 208 lizards belonging to two genera: Hemidactylus and Cnemaspis. We assessed the prevalence of the mites and identified the preferred site for their infestation. We extended the standard morphological identification of the mite species by using DNA barcode markers, partial sequences of the mitochondrial cytochrome c oxidase subunit I (COI) gene and nuclear ribosomal gene sequences: 18S rRNA and hypervariable region D2 of nuclear 28S rRNA. We checked the suitability of COI and nuclear (D2 of 28S rRNA) markers for species delimitations and identification purposes of the genus. The distance- and phylogeny-based approaches were applied: (i) to test the presence of a barcoding gap, we used the automated barcoding gap discovery tool (ABGD) and investigated intra- and interspecific genetic distances, and (ii) to reconstruct evolutionary relationships within the species, we performed maximum likelihood (ML) and Bayesian inference with Markov-Chain Monte Carlo (BI) analyses. As a result, we described five new species-Geckobia gigantea sp. n., G. treutleri sp. n., G. unica sp. n. and G. brevicephala sp. n.-from four Hemidactylus species: H. giganteus, H. treutleri, H. parvimaculatus and H. frenatus, respectively, and G. mysoriensis sp. n. from Cnemaspis mysoriensis. Additionally, we found three already described species: Geckobia indica Hirst, 1917 on H. treutleri (new host), Geckobia bataviensis Vitzhum, 1926 on H. parvimaculatus (new host) and H. frenatus (new locality) and Geckobia phillipinensis Lawrence, 1953 on H. frenatus (new locality). The diagnoses of G. indica and G. phillipinensis were improved and supplemented by descriptions of the males and juveniles. Both topologies of the BI and ML phylogenetic trees, as well as genetic distances, supported the species boundaries in the mite population shown by the morphological data. Hemidactylus frenatus was the most infected gecko species (61% prevalence), with the highest number of mite species (three spp.). The scale-mite richness was higher than expected; therefore, further research is required to evaluate the true diversity of Geckobia mites.

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