Dataset Information

The complete mitogenome of Microhyla fissipes (Anura: Microhylidae) and phylogenetic analysis using GenBank data mining.

ABSTRACT: The complete mitogenome of Microhyla fissipes (16,723?bp) was obtained and analysed. It contains the set of 13 protein-coding genes, two rRNA genes, 22 tRNA genes, and one non-coding regions. Most of the genes in M. fissipes are located on the H-strand, except for the ND6 and eight tRNA genes which are located on the L-strand. The phylogenetic tree shows that M. fissipes is a sister to the clade composed of M. okinavensis and M. mixtura and places Glyphoglossus yunnanensis as the sister lineage to a clade of Microhyla. This new mitogenome of M. fissipes will provide basic data for further molecular evolution studies in this genus.

SUBMITTER: Han N

PROVIDER: S-EPMC7706720 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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The complete mitogenome of Microhyla fissipes (Anura: Microhylidae) and phylogenetic analysis using GenBank data mining.

Han Ning N Wu Zhaoqing Z Zhang Luxin L Wei Xuhui X

Mitochondrial DNA. Part B, Resources 20190918 2

The complete mitogenome of Microhyla fissipes (16,723 bp) was obtained and analysed. It contains the set of 13 protein-coding genes, two rRNA genes, 22 tRNA genes, and one non-coding regions. Most of the genes in M. fissipes are located on the H-strand, except for the ND6 and eight tRNA genes which are located on the L-strand. The phylogenetic tree shows that M. fissipes is a sister to the clade composed of M. okinavensis and M. mixtura and places Glyphoglos ...[more]

PMID: 33365850

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Project description:Vocalizing behavior of frogs and toads, once quantified, is useful for systematics, rapid species identification, behavioral experimentation and conservation monitoring. But yet, for many lineages vocalizations remain unknown or poorly quantified, especially in diversity rich tropical regions. Here we provide a quantitative acoustical analysis for all four Sri Lankan congeners of the genus Microhyla. Three of these species are endemic to the island, but Microhyla ornata is regionally widespread. Two of these endemics, M. karunaratnei (Critically Endangered) and M. zeylanica (Endangered), are highly threatened montane isolates; the other, M. mihintalei, is relatively common across the dry lowlands. We recorded and analyzed 100 advertisement calls from five calling males for each species, except for M. zeylanica, which only had 53 calls from three males suitable for analyses. All four species call in choruses and their vocal repertoires are simple compared to most frogs. Their calls contain multiple pulses and no frequency modulation. We quantified eight call characters. Call duration and number of pulses were higher for the two montane isolates (inhabiting cooler habitats at higher altitudes) compared to their lowland congeners. Microhyla zeylanica has the longest call duration (of 1.8 ± 0.12 s) and the highest number of pulses (of 61-92 pulses). The smallest of the species, Microhyla karunaratnei (16.2-18.3 mm), has the highest mean dominant frequency (3.3 ± 0.14 kHz) and pulse rate (77 ± 5.8 pulses per second). The calls separate well in the Principal Component space: PC1 axis is mostly explained by the number of pulses per call and call duration; PC2 is mostly explained by the pulse rate. A canonical means plot of a Discriminant Function analysis shows non-overlapping 95% confidence ellipses. This suggests that some call parameters can be used to distinguish these species effectively. We provide detailed descriptions for eight call properties and compare these with congeners for which data is available. This work provides a foundation for comparative bioacoustic analyses and species monitoring while facilitating the systematics of Microhyla across its range.

Dataset Information

The complete mitogenome of Microhyla fissipes (Anura: Microhylidae) and phylogenetic analysis using GenBank data mining.

Publications

The complete mitogenome of <i>Microhyla fissipes</i> (Anura: Microhylidae) and phylogenetic analysis using GenBank data mining.

Similar Datasets

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