Systematic identification of needlefish (Belonidae) species using molecular genetic and morphological markers in the Mediterranean and Black Seas

In this study, we aimed to clarify the taxonomic status of Belonidae species distributed in the Mediterranean Sea and the Black Sea by conducting detailed genetic and morphological markers. A total of 550 needlefish samples were caught between January 2022 and January 2024. The data set used in the study contains a total of 171 sequences for the COI gene and 120 sequences for the 12s rRNA gene from different Belonidae species, including data from GenBank. Systematic analysis of needlefish species was investigated by using sequencing of mtDNA COI and 12s rRNA gene regions and morphological characters in the Turkish Marine Waters. A separate analysis of the two mitochondrial genes supported by morphological characters revealed that each species is grouped within itself. The genetic and morphological analyses showed that Belone belone acus and Belone belone euxini which are considered as the subspecies of Belone belone are not subspecies of the genus Belone and should be considered at the species level, Belone belone. Belone svetovidovi is also considerably different from Belone belone and should be considered as a different species. T. acus imperialis, which is thought to be distributed in the Mediterranean Sea, is not a subspecies of Tylosorus acus and should be revised as Tylosorus imperialis which genetically differs from Tylosorus acus and also other Tylosorus species at the species level.

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Publication Details

Journal
PLoS ONE
Published
2025-02-28
DOI
https://doi.org/10.1371/journal.pone.0315401
Citations
3
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
2.42

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article

Systematic identification of needlefish (Belonidae) species using molecular genetic and morphological markers in the Mediterranean and Black Seas

Deniz Yağlıoğlu, Violin Raykov, Petya Ivanova, Deniz Ergüden et al.
3 citations
PLoS ONE
Identification and Quantification in Food
2.42
article

Systematic identification of needlefish (Belonidae) species using molecular genetic and morphological markers in the Mediterranean and Black Seas

Deniz Yağlıoğlu, Violin Raykov, Petya Ivanova, Deniz Ergüden, Ayşegül Ergenler, Maria Yankova, Cemal Turan, Servet Ahmet Doğdu
article en
3 citations

Abstract

In this study, we aimed to clarify the taxonomic status of Belonidae species distributed in the Mediterranean Sea and the Black Sea by conducting detailed genetic and morphological markers. A total of 550 needlefish samples were caught between January 2022 and January 2024. The data set used in the study contains a total of 171 sequences for the COI gene and 120 sequences for the 12s rRNA gene from different Belonidae species, including data from GenBank. Systematic analysis of needlefish species was investigated by using sequencing of mtDNA COI and 12s rRNA gene regions and morphological characters in the Turkish Marine Waters. A separate analysis of the two mitochondrial genes supported by morphological characters revealed that each species is grouped within itself. The genetic and morphological analyses showed that Belone belone acus and Belone belone euxini which are considered as the subspecies of Belone belone are not subspecies of the genus Belone and should be considered at the species level, Belone belone. Belone svetovidovi is also considerably different from Belone belone and should be considered as a different species. T. acus imperialis, which is thought to be distributed in the Mediterranean Sea, is not a subspecies of Tylosorus acus and should be revised as Tylosorus imperialis which genetically differs from Tylosorus acus and also other Tylosorus species at the species level.

PLoS ONEVol. 20(2)
Bulgarian Academy of Sciences (BG), İskenderun Technical University (TR), Institute of Oceanology (BG), Düzce Üniversitesi (TR)
Bulgarian Academy of Sciences, Ulusal Metroloji Enstitüsü, Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
Life below water
Openalex Percentile: Top 13%
Identification and Quantification in Food
2.42
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