Phenotypic variation of gizzard shad, Anodontostoma chacunda (Hamilton, 1822) based on truss network model

Hanif, Abu; Chaklader, Reaz; Siddik, Muhammad A.B.; Nahar, Ashfaqun; Foysal, Javed; Kleindienst, Rowan

doi:10.1016/j.rsma.2018.100442

Cited by 15 publications

(14 citation statements)

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“…Therefore, in a geographically vast country like India having a number of isolated rivers, there is more possibility of variations among sh populations, which can be clearly depicted in the present study. The present study is in agreement with previous studies conducted with the same objective of detecting intraspecies morphological differences in other cyprinids [69][70][71][72] and non-cyprinids [49,73,74] Though, there are also reports on low morphometric divergences despite of geographically isolated populations [75]. Hence, patterns of morphological structure in shes differed between river basins/rivers/river stretches.…”

Section: Discussionsupporting

confidence: 93%

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Morphological plasticity in a wild freshwater fish, Systomus sarana (Cyprinidae) from India: a glimpse through advanced morphometric toolkits 

Gupta

Dwivedi

Tripathi

2020

Preprint

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Background: Body morphology supposed to underpin wide differences in animal performance that can be used to understand the diversification of characters. Further, identifying the fish population with unique shape due to variations in their morphometric characters enable better management of these subunits. Advanced statistical toolkits of morphometry called truss network system and geometric morphometrics have been increasingly used for detecting variations in morphological traits between subunits of fish populations. The present study was therefore carried out with the objective of determining phenotypically distinct units of freshwater fish Systomus sarana collected from geographically isolated locations.Methods: In the present study, 154 specimens of olive barb, S. sarana were collected from four distantly located rivers covering the northern (Ganga), southern (Godavari), central (Narmada), and eastern (Mahanadi) regions of India. Truss-network system and geometric morphometrics have been utilized. Fourteen landmarks were digitized uniformly on each specimen. In the present study, the truss network system yielded size-corrected morphometric characters that were subjected to univariate and multivariate statistical assessment. Results: Analysis of variance (ANOVA) presented significant differences among 63 out of 90 variables (p<0.05). Truss approach includes principal component analysis (PCA) and discriminant function analysis (DFA) while the geometric approach includes PCA, DFA, canonical variate analysis (CVA), partial least square (PLS), the relative warp (RW), and wireframes. CVA extracted Mahalanobis and Procrustes distances among groups found to be highly significant (p<0.0001). In linear DFA, the overall assignment of correctly classified individuals into their original groups was 86.2% for Ganga, 86.1% for the Godavari, 93.9% for the Narmada, and 92.9% for the Mahanadi population. Conclusions: The results revealed significant variations in the morphometric characters which were reflected in the shape of different body features of the studied populations. Both methods revealed analogous results and significant differences among groups in examined features. Our results suggest that S. sarana shows morphological plasticity across different rivers in India. This study supports the concept that geographical isolation among fish populations can lead to morphological variations.

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Section: Discussionsupporting

confidence: 93%

“…Visualization tools might help in further study of the putative underlying mechanisms involved [45]. The result of the present study is in line with other studies based on truss analysis [4,[46][47][48][49] and geometric morphometrics [50,51] which have shown the sh species to have a distinctive morphology.…”

Section: Discussionsupporting

confidence: 90%

Morphological plasticity in a wild freshwater fish, Systomus sarana (Cyprinidae) from India: a glimpse through advanced morphometric toolkits 

Gupta

Dwivedi

Tripathi

2020

Preprint

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“…The present study assessed the morphometric variability of A. Clupeoides, and at least three morphologically distinguishable stocks were identified in the coast of the Bay of Bengal, Bangladesh. Phenotypic plasticity could be due to genetic variations among the stocks (Robinson & Wilson, 1996), which would be associated with unusual aquatic circumstances, i.e., temperatures, salinity, turbidity, current pattern, and alkalinity (Hanif et al, 2019;Mir et al, 2012). However, similarities between stocks may be the consequence of homogenous environmental factors and habitat characteristics.…”

Section: Discussionmentioning

confidence: 99%

“…Measuring stock status of a fish species is crucial for fisheries management, as stocks with different life history traits are essential to enhance yield as well as for stock management program . Morphometry is a cost-effective technique frequently employed for describing fish body shape which is required to identify fish stocks, to delineate stock status, to discriminate between fish populations, and to link ontogeny with functional morphology of a species (Hanif et al, 2019;Torres, Gonzalez, & Pena, 2010). It is also imperative to collect actual biological information of fish such as ecology, evolution, behavior, and stock assessment (Hanif, Siddik, Chaklader, Pham, & Kleindienst, 2017;Islam et al, 2017;Silva, 2003;Yakubu & Okunsebor, 2011) linked with diverse species, subspecies, and races (Chaklader et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Multivariate morphometric variability in sardine, Amblygaster clupeoides (Bleeker, 1849), from the Bay of Bengal coast, Bangladesh

Hanif

Siddik

Islam

et al. 2019

JoBAZ

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Background: Sardine Amblygaster clupeoides is a reef-associated oceanic species having long-standing socioeconomic and ecological importance along the coast of Bay of Bengal, Bangladesh, but less is known about the morphometric variability of the species. To uncover this, morphometric variability of A. clupeoides based on truss network technique was employed Results: A total number of 160 specimens from four coastal regions (Sundarbans, Kuakata, Bhola, and Cox's Bazar) of the Bay of Bengal coast were used to determine whether separate populations could be distinguished. To test the hypothesis of differentiation, each sample was subjected to morphometric measurements consisting of twenty-eight landmarks. In one way ANOVA analysis, twenty-six out of 28 morphometric measurements showed significant differences among the four populations. The principal component analysis indicated shape variation and explained 70.11% of the total variance. About 68.39% of individuals into their original group were correctly classified in discriminating space, as determined by discriminant function (DF) analysis. Conclusion: Morphometric traits like body length, body depth, body diagonal, body height, head length, head depth, mouth length, anal fin length, dorsal fin length, and caudal length diagonal were mainly responsible for variation and discrimination of populations. The present investigation demonstrates that the population of the east coast (Cox's Bazar) is morphometrically different from other populations. Future stock assessment of A. clupeoides should be considered especially on the east coast (Cox's Bazar) while formulating management action plans.

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“…2, Table 2). Each landmark line was measured via manual methods by piercing the paper with a needle (Strauss and Bookstein 1982;Hanif et al 2019).…”

Section: Data Acquisition Of Morphometric Traits and Meristic Charactersmentioning

confidence: 99%

Assessment of morphological variation between stocks of bluefish, Pomatomus saltatrix (Actinopterygii, Perciformes, Pomatomidae), in the Aegean Sea, Black Sea, and Sea of Marmara

Bal¹,

Yanık²,

Türker³

2021

AIeP

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The population structure of the bluefish, Pomatomus saltatrix (Linnaeus, 1766), in Turkish waters is scarcely described in the literature. To identify any distinct population units of bluefish, and reaffirm the findings of a previous study, four areas were selected: the Aegean Sea, western Black Sea, eastern Black Sea, and the Sea of Marmara. In this study, truss network morphometrics, meristics, and otolith shape analyses were successfully applied for different population identification of the bluefish. Multivariate analysis of variance (MANOVA) revealed no differences for truss network morphometrics, meristic, and otolith shape characters between males and females. Hence, both sexes were combined for the discriminant function (DFA) and the Principal Component Analysis (PCA). Using univariate ANOVA based on the stepwise method revealed a highly significant difference among different locations for each truss-morphometrics and otolith shape characters. Furthermore, six out of seven meristic characters also showed significant differences between different areas. Based on PCA, 25 out of 27 truss-morphometric characters had a loading value above 0.70, which was considered significant in this study. The results of DFA show clear patterns of truss-morphometric character variations, forming four distinct clusters that were well separated from each other, indicating the existence of four morphologically differentiated populations of the bluefish. The proportion of the correctly classified Aegean Sea, western Black Sea, and eastern Black Sea bluefish samples to their original groups were 100%, demonstrating clear separation of these stocks from each other. Whereas up to 5% of the total samples of the Sea of Marmara were incorrectly classified, assigning to the eastern Black Sea. These findings were supported by meristic and otolith shape characters that also indicated four morphologically differentiated populations of the bluefish. However, their overall proportion of correct classification was relatively lower than the truss-morphometric traits method. The findings suggest the requirement of strategic assessment and management of each bluefish stock separately to use them sustainably in the future.

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Phenotypic variation of gizzard shad, Anodontostoma chacunda (Hamilton, 1822) based on truss network model

Cited by 15 publications

References 40 publications

Morphological plasticity in a wild freshwater fish, Systomus sarana (Cyprinidae) from India: a glimpse through advanced morphometric toolkits

Morphological plasticity in a wild freshwater fish, Systomus sarana (Cyprinidae) from India: a glimpse through advanced morphometric toolkits

Multivariate morphometric variability in sardine, Amblygaster clupeoides (Bleeker, 1849), from the Bay of Bengal coast, Bangladesh

Assessment of morphological variation between stocks of bluefish, Pomatomus saltatrix (Actinopterygii, Perciformes, Pomatomidae), in the Aegean Sea, Black Sea, and Sea of Marmara

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Phenotypic variation of gizzard shad, Anodontostoma chacunda (Hamilton, 1822) based on truss network model

Cited by 15 publications

References 40 publications

Morphological plasticity in a wild freshwater fish,&nbsp;Systomus&nbsp;sarana&nbsp;(Cyprinidae) from India: a glimpse through advanced morphometric toolkits&nbsp;

Morphological plasticity in a wild freshwater fish,&nbsp;Systomus&nbsp;sarana&nbsp;(Cyprinidae) from India: a glimpse through advanced morphometric toolkits&nbsp;

Multivariate morphometric variability in sardine, Amblygaster clupeoides (Bleeker, 1849), from the Bay of Bengal coast, Bangladesh

Assessment of morphological variation between stocks of bluefish, Pomatomus saltatrix (Actinopterygii, Perciformes, Pomatomidae), in the Aegean Sea, Black Sea, and Sea of Marmara

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Morphological plasticity in a wild freshwater fish, Systomus sarana (Cyprinidae) from India: a glimpse through advanced morphometric toolkits

Morphological plasticity in a wild freshwater fish, Systomus sarana (Cyprinidae) from India: a glimpse through advanced morphometric toolkits