Otolith‐based species identification in the killifish <i>Aphaniops</i> (Teleostei; Cyprinodontiformes; Aphaniidae) using both morphometry and wavelet analysis

Abstract The killifish genus Aphaniops consists of nine species distributed in Eastern Africa and the Middle East. However, distinguishing these species from each other based on morphological traits is challenging. Here we investigate the utility of otoliths (sagittae) in distinguishing between A. dispar , A. ginaonis , A. hormuzensis , A. kruppi and A. stoliczkanus . Our approach is based on otoliths from 89 specimens and involves (1) otolith morphometrics, following prior recommendations, (2) shape analysis of otolith contours based on discrete wavelet transformation—a novel method in killifish otolith research—and comparative statistical analyses. Both methods reveal significant interspecific variation in the otolith regions of the rostrum, antirostrum and excisura. While method (1) effectively discriminates most species, method (2) struggles to differentiate A. hormuzensis , A. stoliczkanus and A. kruppi . Additionally, both methods encounter challenges in correctly classifying A. hormuzensis due to the high otolith variability of this species in our sample. Possible factors accounting for their variability are environmental fluctuations at the sampled hot sulphuric spring (Khurgo) and potential introgressive hybridization. We conclude that otolith morphometry is a valuable tool for Aphaniops species identification. Furthermore, we found that the distinctiveness of species‐specific otolith traits increases with the divergence age of the species.

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Publication Details

Journal
Acta Zoologica
Published
2024-09-04
DOI
https://doi.org/10.1111/azo.12518
Citations
10
Primary Topic
Fish biology, ecology, and behavior
Type
article
Field-Weighted Citation Impact
6.91

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article

Otolith‐based species identification in the killifish Aphaniops (Teleostei; Cyprinodontiformes; Aphaniidae) using both morphometry and wavelet analysis

Eleni A. Charmpila, Bettina Reichenbacher, Azad Teimori
10 citations
Acta Zoologica
Fish biology, ecology, and behavior
6.91
article

Otolith‐based species identification in the killifish Aphaniops (Teleostei; Cyprinodontiformes; Aphaniidae) using both morphometry and wavelet analysis

Eleni A. Charmpila, Bettina Reichenbacher, Azad Teimori
article en
10 citations

Abstract

Abstract The killifish genus Aphaniops consists of nine species distributed in Eastern Africa and the Middle East. However, distinguishing these species from each other based on morphological traits is challenging. Here we investigate the utility of otoliths (sagittae) in distinguishing between A. dispar , A. ginaonis , A. hormuzensis , A. kruppi and A. stoliczkanus . Our approach is based on otoliths from 89 specimens and involves (1) otolith morphometrics, following prior recommendations, (2) shape analysis of otolith contours based on discrete wavelet transformation—a novel method in killifish otolith research—and comparative statistical analyses. Both methods reveal significant interspecific variation in the otolith regions of the rostrum, antirostrum and excisura. While method (1) effectively discriminates most species, method (2) struggles to differentiate A. hormuzensis , A. stoliczkanus and A. kruppi . Additionally, both methods encounter challenges in correctly classifying A. hormuzensis due to the high otolith variability of this species in our sample. Possible factors accounting for their variability are environmental fluctuations at the sampled hot sulphuric spring (Khurgo) and potential introgressive hybridization. We conclude that otolith morphometry is a valuable tool for Aphaniops species identification. Furthermore, we found that the distinctiveness of species‐specific otolith traits increases with the divergence age of the species.

Acta ZoologicaVol. 106(3)
Shahid Bahonar University of Kerman (IR), Charles University (CZ), Ludwig-Maximilians-Universität München (DE)
Shiraz University, Ludwig-Maximilians-Universität München
Openalex Percentile: Top 3%
Fish biology, ecology, and behavior
6.91
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