Stock identification of minor carp, Cirrhinus reba, Hamilton 1822 through landmark-based morphometric and meristic variations

Abstract

Background: Wild fish populations stock is continuously diminishing in the Indo-Ganges river basin, and the population status of most fishes is unidentified. The identification of the population status and the conservation of commercially important and endemic wild fish populations in this region are crucial for the management. The aim of this paper was to identify the population status of Cirrhinus reba, a promising aquaculture but vulnerable species in the Indo-Ganges river basin in Bangladesh. Methods: C. reba samples were collected from four isolated populations of the Brahmaputra (n = 30), the Padma (33), the Karatoya (31), and the Jamuna Rivers (30) in Bangladesh, and the population status was evaluated using morphometric and landmark comparisons. Data were analyzed with the Kruskal-Wallis test, univariate analysis, discriminant function analysis, and the formation of a dendrogram. Results: Three meristic characters (Pectoral fin rays, caudal fin rays, scale in lateral lines), four morphometric characters (head length, pre-orbital length, post-orbital length, maximum body depth), and truss measurement (4-7) were significantly different among the stocks. The step-wise discriminant function analysis retained 15 variables from morphometric and landmark measurements that significantly differentiated the populations based on the constructed DFI and DFII. Discriminate function analysis also showed that 91.2% of the original groups were classified into their correct samples. The cluster analysis of Euclidean distances placed the Jamuna population in one cluster and the Brahmaputra, the Padma, and the Karatoya populations in the second one. Conclusion : Morphological differences among the stock were probably due to different ancestral origin. This is the first report about population status of C. reba in their natural habitat of the Indian subcontinent. Further genetic studies and the evaluation of environmental impact on C. reba populations in Bangladesh are suggested to support our findings.

Phenotypic variation of Chitala chitala (Hamilton, 1822) from Indian rivers using truss network and geometric morphometrics

“…The present study aimed to find out the existence of phenotypic stock, if any, by examining the body shape differences to identify phenotypic variations and divergence, using truss network system and geometric morphometrics in the population of C. chitala in seven rivers from Ganga and Brahmaputra basins of India as Dutta et al (2020) had identified a single genetic stock from these rivers. Truss network profiles generated by the use of landmarks extending across the shape of entire fish captures shape information and provide a quantitative method to assess morphometric differences between the specimens from different geographical locations ( Strauss & Bookstein, 1982 ; Turan, 1999 ; Ethin et al, 2019 ; Mahfuj, Rahman & Samad, 2019 ). There is need for scientific studies on a variety of species to understand the utility of truss network analysis, to be used as a marker or tool in determining the intra-specific phenotypic diversity.…”

Stock identification of the Reba carp, Cirrhinus reba: Insight into conventional and truss network-based morphometrics

“…The previously mentioned specialist may have tested stocks that was encountering comparable ecological conditions or had a typical progenitor and consequently were not go through separation notwithstanding being secluded geologically. Notwithstanding morphometric characters, a truss network framework have been utilized by various researcher and has significant rule to recognize species, subspecies, races, and strains (Siddik et al, 2016;Ethin et al, 2019;Gain et al, 2017;Mahfuj et al, 2017;Azad et al, 2020;Mahfuj et al, 2020a).…”

Genetic and morphological assessment of a vulnerable large catfish, Silonia silondia (Hamilton, 1822), in natural populations from India

“…The present study, based on molecular data, clearly indicated samples from the rivers Son and Tons to be significantly differentiated from the rest of populations and to have evolved as a distinct genetic stock. The results also indicate the ancestral origin of the Son river (Ethin et al ., 2019). These noticeable variations may occur in genotypic and phenotypic characteristics within S. silondia populations due to an adequate degree of isolation, subsequently leading to separation, and hence need to be treated as a different management unit (Turan, 2004).…”