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Opsarius siangi, a new Chedrinae fish species from the Brahmaputra drainage, India.
Kumari, Kavita; Borah, Simanku; Nair, Sangeetha M; Suresh, Vettath Raghavan.
Afiliação
  • Kumari K; ICAR-Central Inland Fisheries Research Institute, Kolkata, India.
  • Borah S; ICAR-Central Inland Fisheries Research Institute, Kolkata, India.
  • Nair SM; ICAR-Central Inland Fisheries Research Institute, Kolkata, India.
  • Suresh VR; ICAR-Central Inland Fisheries Research Institute, Kolkata, India.
Article em En | MEDLINE | ID: mdl-38305794
ABSTRACT
Opsarius siangi sp. nov., a previously undocumented species, has been identified from Siang River, Pasighat, Arunachal Pradesh, India. This newly described species is distinguished by a suite of unique morphological characteristics, notably including a complete lateral line, consisting of 65-77 scales, 32-39 pre-dorsal scales, 12-15 scales positioned between dorsal fin origin and lateral line, presence of two pairs of barbels, body depth ranging from 18.80% to 27.42% of standard length and a distinct pattern of 8-15 vertical bars adorning the body. A comprehensive genetic analysis was conducted by scrutinizing 78 Cytochrome oxidase I (COI) sequences extracted from Chedrinae fishes, with particular focus on Opsarius and Barilius genera. Phylogenetic analysis revealed that O. siangi sp. nov. occupies a distinctive clade, displaying close affinity with O. shacra. Intraspecific K2P genetic divergence, assessed at 0.02, falls well within established species delineation thresholds, while interspecific divergence in comparison to O. shacra was recorded at 0.112. Complementary species delimitation methodologies, including BIN and bPTP, further underscore taxonomic uniqueness of O. siangi sp. nov., within Chedrinae family. This description enriches our understanding of biodiversity within Siang River ecosystem and underscores the merit of employing multi-pronged approaches in taxonomic investigations.
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Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article
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Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article