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<p>The population structure of the sharpsnout seabream (<i>Diplodus puntazzo</i>) remains poorly understood in Turkish waters, making it difficult to establish effective management units in the eastern Mediterranean. This study investigated whether otolith morphology could distinguish between fish from two contrasting environments: İzmir Bay in the Aegean Sea and Antalya Bay in the Mediterranean Sea. Totally, 100 samples from the Aegean Sea and Mediterranean Sea were analyzed using three. Traditional shape indices, elliptic Fourier descriptors, and wavelet transform analysis. The morphological features of otoliths were investigated using SEM images. While traditional indices and Fourier descriptors yielded limited to moderate discrimination, wavelet transform analysis performed exceptionally well, achieving a 98% reclassification success rate. The most significant differences were found in the rostrum and antirostrum, regions of the otolith known to be highly sensitive to environmental change. These results suggest a plausible phenotypic split between the Aegean and Mediterranean samples, likely driven by the sharp oceanographic contrast between the productive northern Aegean and the nutrient-poor Levantine basin.</p>

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Otolith-based Phenotypic Differentiation of Diplodus Puntazzo Across the Aegean and Mediterranean Basins of Türkiye

  • 期刊论文

  • 发表日期：

    2026年7月29日

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  • Melek Ozpicak,
  • Sevim Akkaya

摘要

The population structure of the sharpsnout seabream (Diplodus puntazzo) remains poorly understood in Turkish waters, making it difficult to establish effective management units in the eastern Mediterranean. This study investigated whether otolith morphology could distinguish between fish from two contrasting environments: İzmir Bay in the Aegean Sea and Antalya Bay in the Mediterranean Sea. Totally, 100 samples from the Aegean Sea and Mediterranean Sea were analyzed using three. Traditional shape indices, elliptic Fourier descriptors, and wavelet transform analysis. The morphological features of otoliths were investigated using SEM images. While traditional indices and Fourier descriptors yielded limited to moderate discrimination, wavelet transform analysis performed exceptionally well, achieving a 98% reclassification success rate. The most significant differences were found in the rostrum and antirostrum, regions of the otolith known to be highly sensitive to environmental change. These results suggest a plausible phenotypic split between the Aegean and Mediterranean samples, likely driven by the sharp oceanographic contrast between the productive northern Aegean and the nutrient-poor Levantine basin.