Fish of the
Chrysichthys
genus are subject to intense exploitation, which is threatening the available stock. The implementation of a sustainable resource management plan requires a good knowledge of the biodiversity of this genus. The aim of this study was to determine the morphological and genetic characteristics of the fish of the subgenus
Chrysichthys chrysichthys
in order to identify descriptors for differentiating the species of this subgenus present in C?te d’Ivoire. The biometric analysis involved forty-one morphological measurements taken from each of the 255 specimens sampled in five hydro
systems.
The
genetic analysis of the D-loop mitochondrial DNA sequence was carried out in 34 specimens. The amplicons obtained by PCR were subjected to sequencing. Individual analysis of morphometric characters divided the subgenus into two different species: C.
maurus
and C. auratus. The high classification rate (>90%) of the Discriminant Factor Analysis confirmed the existence of these two species. Wilk
’
s Lambda test revealed thirteen discriminating descriptors. Phylogenetic analysis confirmed the existence of both species. Within the C. maurus species, fish from the river Bia are genetically different from those from other rivers. On the other hand, this population is fairly close to that of the C. auratus species, which is also divided into two different clades. Finally, molecular analysis corrected the taxonomic status of the fish.
<i>Chrysichthys</i> Morphological Characterization Mitochondrial DNA Genetic Diversity1. Introduction
For the majority of the human population, fish resources represent one of the main sources of protein for a quality diet. Fish in particular is important for ensuring food security [1] . In Côte d’Ivoire, fish of the genus Chrysichthys, commonly known as “mâchoiron”, whose flesh is highly prized by the local population, is subject to intense exploitation pressure and could be threatened by overfishing. To avoid the collapse of stocks, a rational and sustainable resource management plan needs to be put in place. This requires a sound knowledge of the biodiversity of fish of this type. In addition, the Chrysichthys genus has been used in aquaculture since the early 1980s to meet the very high demand for this fish in the Ivorian market. However, the vast majority of research work on species in this genus has been carried out mainly in the fields of biology, ecology and reproduction [2] [3] . For a long time, work to identify and classify Chrysichthys species was based on morphological and biometric characters. Thus, on the basis of anatomical and morphological studies of a large number of specimens in museum collections, Risch [4] revised the taxonomic status of species in the genus Chrysichthys. Within this genus, several sub-genera have been determined, including the sub-general Chrysichthys melanodactylus and Chrysichthys chrysichthys, which have been identified in Ivorian rivers. Within the subgenus Chrysichthys chrysichthys, two species: Chrysichthys maurus and C. auratus have been described (Risch, 1986). The first work on the population genetics of this siluriform was carried out by Agnèse in 1989, as part of a study on the genetic differentiation of several species of West African Siluriformes of interest to fisheries and aquaculture. Using the results of enzyme electrophoresis, he confirmed the synonymies established by Risch [4] . He demonstrated the phyletic relationships that exist between the different populations of species in the genus Chrysichthys [5] [6] . Even today, however, difficulties persist in identifying morphologically related species. Distinguishing between species of the genus Chrysichthys is not always easy, because, for individuals of comparable size, interspecific morphological differences are minimal, whereas intra-specific variability can be very great [7] . The aim of this study is therefore to determine the morphological and molecular characteristics of fish of the genus Chrysichthys in the rivers of Côte d’Ivoire. In fact, these two methods have been widely used to differentiate certain species of fish [8] [9] .
2. Material and Method2.1. Study Area
Côte d’Ivoire has a vast hydrographic network of rivers and lagoons linked by artificial channels. Fish of the subgenus Chrysichthys chrysichthys were sampled in five hydro-systems from East to West: the Bia River, the Aby Lagoon, the Ebrié Lagoon, the Bandama River and the Grand-Lahou Lagoon (Figure 1).
2.2. Morphometric Analysis
The morphological analysis included 245 specimens of the subgenus Chrysichthys
chrysichthys. The fishes come from the sampling campaign that took place from 2012 to 2014. Forty-one conventional characters were measured on each specimen with digital callipers on the left side of the specimens and rounded to the nearest 0.05 mm (Figure 2).
To reduce the allometric effect, all morphometric characters were transformed into ratio to the head length (HL) for the measurements recorded on the fish’s head or into ratio to the standard length (SL) for the measurements performed on fish’s body [10] [11] [12] .
The species-less method requires that the morphometric parameters be recorded on a large number of individuals from the populations studied. Several
comparisons are first made between the specimens. The differences between them “character by character” are noted. Then, species groups are formed and intra- and inter-specific variations are highlighted. Discriminant Factor Analysis was run to test the effectiveness of the characters in predicting different species location. For this analysis, a stepwise inclusion procedure was carried out to reduce the number of characters according and to identify the combinations of characters that best separated species [13] [14] . The percentage of correct classification of individuals is determined to assess the effectiveness of the discriminant analysis [15] [16] [17] . These analyses were carried out using the program STATISTICA 7.1.
2.3. Genetic Analysis
The genetic analysis was carried out on 34 specimens of the subgenus Chrysichthys chrysichthys. Each of the specimens analyzed was assigned to a species on the basis of the classification made from the morphometric analysis. Genomic DNA was isolated from muscle tissue by proteinase K digestion followed by a standard phenol-chloroform method [18] . The segment of the mtDNA D-loop was amplified using fish primer: 5’ACCCCTAGCTCCCAAAGCTA3’ (Forward) and 5’CCTGAAGTAGGACCAGATG3’ (reverse). The PCR reaction was performed in a final volume of 50 μl containing: 10 μl template DNA, 25 mM MgCl2, 100 μM of dNTPs, 10 μM of each primer, 10 X reaction buffer and 1 unit of Taq DNA polymerase. Initial denaturation was 4 min at 94˚C, followed by 35 cycles of 30 s at 91˚C for the denaturation, 1 min at 52˚C for annealing, 1 min at 72˚C for the extension and a final extension at 72˚C for 5 min. Direct sequencing of the reverse strand was performed for each amplified fragment.
The sequences were aligned and compared with each other using the Clustal X program in the Geneious software [19] . A genetic distance matrix was constructed using the distance index of Nei [20] . The phylogenetic study provided information on the genetic proximity of specimens of the species and the relationships between individuals are visualized on the phenogram [21] [22] [23] .
3. Results3.1. Morphometric Analysis
The descriptor analysis showed a bimodal distribution for the anal-dorsal distance (DAnD). This character was chosen for the division of specimens of the subgenus Chrysichthys chrysichthys into two taxonomic entities: G11 and G12. The anal-dorsal distance of the G11 group is between 34.6% and 46% LS and that of the G12 group is between 46% and 57.8% LS (Figure 3).
The result of the discriminant analysis was shown in Table 1. The stepwise discriminant analysis identified 13 descriptors that discriminated the studied species. According to the importance of their discriminant power, there are DPtPl (λ = 0.75), DPlAn (λ = 0.84), HL (λ = 0.89), DPtAd (λ = 0.90), DO2 (λ = 0.91), MBL2 (λ = 0.94), AnL (λ = 0.94), BdH (λ = 0.96), CPcl (λ = 0.96), DsB (λ = 0.97), DDsAd (λ = 0.97), DsL (λ = 0.98) and DPtAn (λ = 0.98).
The discriminant analysis confirmed 99.59% of the total classification (Table 2). The predicted classification was 99.43% for subgroup G11 and 100% for
Multivariate Wilk’s Lambda (λ) significance tests of metric variables in group G1
Descriptors
λ
F
P
DPtPl
0.75
76.6
***
DPlAn
0.84
43.82
***
HL
0.89
28.30
***
DPtAd
0.90
26.8
***
ED2
0.91
22.46
***
MBL2
0.94
15.04
***
AnL
0.94
13.71
***
BdH
0.96
10.87
**
CPcl
0.96
8.33
**
DsB
0.97
6.55
*
DDsAd
0.97
5.84
*
DsL
0.98
5.08
*
DPtAn
0.98
5.01
*
F: statistical value of the discriminant analysis; λ: statistical value of the test; p: probability, *: p < 0.05; **: p < 0.01; ***p < 0.001. DPtPl: pectoral/pelvic distance, DPlAn: pelvic/anal distance, HL: head length, DPtAd: pectoral/adipal distance, DO2: eye diameter 2, MBl2: mandibular barbel length 2, AnL: pre-anal length, BdH: body height, CPcl: height of caudal peduncle, DsB: length of dorsal base, DDsAd: dorsal to adipal distance, DsL: predorsal length, DPtAn: pectoral to anal distance.
subgroup G12. Only one specimen of subgroup G11 was misclassified.
3.2. Molecular Analysis
After cutting off the primers from both ends prior to alignment, a total of 427
Classification matrix of individuals in subgroups G11 and G12 by discriminant analysis of metric traits
Percentage of correct classification (%)
Number of well-classified specimens
Gr 11
Gr 12
Gr 11 (n = 174)
99.43
173
1
Gr 12 (n = 71)
100
0
71
Total (n = 245)
99.59
173
72
n = number of specimens.
nucleotides sites were obtained. Eight haplotypes have been detected and are grouped into three haplogroups: HG1, HG2 and HG3. The haplogroup HG1 is found in C. auratus and includes the haplotypes H1 (Ad1, A30, L15, Ad10, Ad11, E13, Ay9, L10, Ad16), H2 (Ad19, E1); H3 (A27) and H4 (Ad15). The haplogroups HG2 and HG3 are characteristic of the species C. maurus. The haplogroup HG2 comprises the haplotypes H5 (K25, K31, K8, K29, K2, K4) and H6 (L9, L8, L21, B15, T15’, T4) while haplogroup HG3 is composed of haplotypes H7 (Ay7, Ay13) and H8 (Ay17). Within each group, the sequences differ from each other by only one or two nucleotides. HG1 is distinguished by six to eight mutations from HG2 and four to five mutations from HG3 while HG2 and HG3 differ by three to five mutations.
The Hierarchical Cluster Analysis based on Neighbord Joinning was represented in Figure 4. The dendrogram revealed that within each species, the specimens were clustered into two distincts groups; the genetic distance between these two entities varies between 0.02 and 0.04.
4. Discussion
Morphometric variables are important elements in the study of species systematics. The biometric analysis, including morphometric characters, has been adopted by many authors to identify different fish races or populations [24] [25] [26] . Despite the low number of discriminant variables in our study, the high percentages of classification (99.43% for G11 and 100% for G12) are obtained for groups, indicating that the morphometric descriptors used have an important taxonomic. The high percentages of correct classification (>99%) confirm that groups G11 and G12 are distinct from each other. This suggests the existence of two distinct species within the subgenus Chrysichthys chrysichthys. Individuals of G11 are characterized by a large, elongated body, an elongated head and large eyes. In addition, specimens from the Bandama River are characterized by a long filament on the dorsal fin. This feature was reported by Risch [4] in the description of the species C. maurus. Individuals in G12 are defined by a shorter and lower body, a less elongated head and smaller eyes. Based on the descriptions by Risch [4] , G11 and G12 are assigned to the species Chrysichthys maurus and C. auratus respectively.
The genetic variations observed on the mitochondrial marker concerned sequence polymorphism (number and distribution of nucleotide substitutions), genetic diversity within each river and the relationships between individuals visualized on the phenogram. These methods of studying population genetics are subjects that are widely covered in the literature [27] [28] . Analysis of polymorphism and sequence similarity led to the classification of specimens in the subgenus Chrysichthys chrysichthys. Three groups of genetically differentiated haplotypes G1, G2 and G3 appear within this subgenus. Groups G1 and G3 contain specimens of the species C. maurus, which segregate together. However, these two groups are quite far apart in terms of the number of nucleotide substitutions and genetic distance. In fact, the number of mutations separating these two entities is greater than or equal to four (4) and the genetic distance between them is high. There is therefore a high level of genetic differentiation between these two groups. This suggests that there is little gene flow between them. Group G1 is made up of specimens from the Bandama River and the Ebrié and Grand-Lahou lagoons, while group G3 comes from the Bia River. There are therefore two genetically different populations within this species. This difference seems to be linked to the geographical distance of the River Bia from the other rivers. During work carried out on populations of Pteropus marianus on the Mariana Islands and Palau, the study of microsatellite and mitochondrial markers (D-loop, COI and Cytochrome b) highlighted the genetic isolation of the Palau population from those of the Mariana Islands [29] . Using genetic methods, Meyer [30] highlighted the phenomenon of isolation through distance in his work on tropical bats. Group G2 contains specimens of the species C. auratus. This species can also be distinguished into two different populations that are genetically quite close to specimens of the species C. maurus from the river Bia. This could be due to the fact that this species is essentially made up of individuals from the Aby lagoon, which is directly linked to this river. This great genetic similarity could also be explained by the fact that these two species are sympatric in the region under consideration [4] . Furthermore, in some specimens, there is no concordance between morphological differentiation and genetic differentiation. Within group G2, with the exception of individuals A30 and A27, the other specimens (Ad1, L15, Ad10, Ad11, E13, Ay9, L10, Ad16, Ad19, E1 and Ad15) are morphologically similar to the species C. maurus. However, molecular analysis has shown that they belong to the C. auratus species. During work on Liza abu stocks in three rivers, genetic data did not confirm the phenotypic variations detected [26] .
5. Conclusion
Characterization based on fish morphology demonstrated the validity of the morphometric descriptors traditionally used to describe the different species of fish in the genus Chrysichthys. Despite the small number of samples, the genetic analyses demonstrated the value of population genetics in understanding both the biodiversity of species in the subgenus Chrysichthys chrysichthys and the genetic structure of the various populations in the rivers sampled. The results of the genetic analysis of fish of the genus Chrysichthys provided information on the genetic proximity of the specimens studied. The morphometric study combined with the molecular analysis therefore clarified the taxonomic status of the species of the subgenus Chrysichthys chrysichthys in the Ivorian rivers sampled. It would therefore be important to extend sampling to all Ivorian hydrosystems. In addition, the use of several different types of markers (Cytochrome oxydase, microsatellites) will enable additional information to be acquired.
Conflicts of Interest
The authors declare no conflicts of interest regarding the publication of this paper.
Cite this paper
Sita, T.A. and Beatrice, A. (2023) Morphological and Genetic Differentiation of Fish of the Subgenus Chrysichthys chrysichthys from Ivorian Rivers. Open Journal of Applied Sciences, 13, 1336-1347. https://doi.org/10.4236/ojapps.2023.138106
ReferencesSubasinghe, R.P., Bueno, P., Phillips, M.J., Hough, C., MCGladdery, S.E. and Arthur, J.E. (2000) Aquaculture in the Third Millennium. Conference on Aquaculture in the Third Millennium, Bangkok, Thailand. NACA, Bangkok and FAO, Rome, 471 p. http://192.150.250.132:9000/aq/index.htmAdepo, A.B., Teugels, G.G., Risch, L.M., Hanssens, M.M. and Agnese, J.-F. (1996) Morphological and Genetic Differentiation of 11 Populations of the African Catfish Chrysichthys nigrodigitatus (Siluroidei, Claroteidae), with Consideration of Their Biogeography. Canadian Journal of Zoology, 75, 102-109. https://doi.org/10.1139/z97-013Bedia, A.T., Etile, R.N., Goore, G.I., Essetchi, K.P. and N’Douba, V. (2017) Paramètres de croissance et d’exploitation de Chrysichthys nigrodigitatus (Lacepede, 1803) (Siluriformes, Bagridea) dans une lagune tropicale: Lagune Ebrié (Secteur 1: lagune Potou, Côte d’Ivoire). Tropicultura, 35, 253-261.Risch, L.M. (1992) Bagridae. In: Lévêque C., Paugy D. & Teugels G.G. (Eds) Faune des poissons d’eaux douces et saumatres de l’Afrique de l’Ouest. ORSTOM (Paris)/MRAC (Tervuren), Tome II, 395-431. https://hdl.handle.net/10568/60071Agnese, J.-F. (1991) Taxonomic Status and Genetic Differentiation among West African Populations of the Chrysichthys auratus Complex (Pisces, Siluriformes), Based on Protein Electrophoresis. Aquaculture and Fisheries Management, 22, 229-237. https://doi.org/10.1111/j.1365-2109.1991.tb00512.xAgnese, J.-F. (1989) Différenciation génétique de plusieurs espèces de Siluriformes ouest-africains ayant un intérêt pour la pêche et l’aquaculture. Thèse de Doctorat de l’Université des Sciences et Techniques du Languedoc, Languedoc, 216 p.Hem, S., Legendre, M., Trebaol, L., Cisse, A., Oteme, Z. and Moreau, Y. (1994) L’aquaculture lagunaire. In: Durand, J.R., Dufour, P., Guiral, D., Guillaume, S. and Zabi, F., Eds., Environnement et ressources aquatiques de Côte d’Ivoire. Tome II: Les milieux lagunaires, Editions de l’ORSTOM, Paris, 1-46.Anderson, J.D. and MCDonald, D.L. (2007) Morphological and Genetic Investigations of Two Western Gulf of Mexico Menhadens (Brevoortia spp.). Journal of Fish Biology, 70, 139-147. https://doi.org/10.1111/j.1095-8649.2007.01326.xAdepo-Gourene, A.B. (2008) Diversité génétique des populations naturelles de poissons africains d’intérêt économique des familles Carcharhinidae, Clupeidae et Cichlidae. Thèse de Doctorat d’Etat, Université d’Abobo-Adjamé, Abidjan, 207 p.Mayr, E. (1970) Populations, Species and Evolution. An Abridgment of Animal Species and Evolution. The Belknap Press of Harvard University Press, Cambridge, 453 p.Thys Van Den Audenaerde, D.F.E. (1970) Bijdrage tot een systematishe bibliographische monographie van het genus Tilapia (Pisces: Cichlidae). Ph.D. Thesis, Rijksuniversiteit Gent, Gent, 261 p. http://hdl.handle.net/1854/LU-8597646 https://biblio.ugent.be/publication/8597646Teugels, G.G. (1986) A Systematic Revision of African Species of the Genus Clarias (Pisces, Clariidae) Annales du musée royal de l’Afrique Centrale. Sciences Zoologiques, 247, 199.Jain, A.K., Duin, R.P.W. and Mao, J. (2000) Statistical Pattern Recognition: A Review. IEEE Transaction Pattern Analysis and Machine Intelligence, 22, 4-37. https://doi.org/10.1109/34.824819Poulet, N., Berreb, P., Crivelli, A.J., Lek, S. and Argillier, C. (2004) Genetic and Morphometric Variations in the Pikeperch (Sander lucioperca L.) of a Fragmented Delta. Archiv für Hydrobiologie, 159, 531-554. https://doi.org/10.1127/0003-9136/2004/0159-0531Silva, A. (2003) Morphometric Variation among Sardine (Sardina pilchardus) Populations from the Northeastern Atlantic and the Western Mediterranean. ICES Journal of Marine Science, 60, 1352-1360. https://doi.org/10.1016/S1054-3139(03)00141-3Tomovic, L. and Džukicic, G. (2003) Geographic Variability and Taxonomy of the Nosehorned Viper, Vipera ammodytes (L. 1758), in the Central and Eastern Parts of the Balkans: A Multivariate Study. Amphibian and Reptile, 24, 359-377. https://doi.org/10.1163/156853803322440817Marques, J.F., Teixeira, C.M. and Cabral, H.N. (2006) Differentiation of Commercially Important Flatfish Populations along the Portuguese Coast: Evidence from Morphology and Parasitology. Fisheries Research, 81, 293-305. https://doi.org/10.1016/j.fishres.2006.05.021Sambrook, J. and Russell, D.W. (2001) Molecular Cloning: A Laboratory Manual. Vol. 2, 3rd Edition, Cold Spring Harbor Laboratory Press, Cold Spring Harbor, 2026 p.Drummond, A.J., Ashton, B., Cheung, M., Heled, J., Kearse, M., Moir, R., Stones-Hava, S., Thierer, T. and Wilson, A. (2009) Geneious v4.8. http://www.geneious.comNei, M. (1978) Estimation of Average Heterozygoty and Genetic Distance from a Small Number of Individuals. Genetics, 89, 583-590. https://doi.org/10.1093/genetics/89.3.583Caraguel, B.G.C. (2003) Spéciation des requins: Approches moléculaires et application à la traçabilité du commerce des ailerons. Thèse de Doctorat vétérinaire de l’Ecole National de vétérinaire de Toulouse, Toulouse, 103 p.Ngamsiri, T., Nakajima, M., Sukmanomon, S., Sukumasavin, N., Kamonrat, W., Na-Nakorn, U. and Taniguchi, N. (2007) Genetic Diversity of Wild Mekong Giant Catfish Pangasianodon gigas Collected from Thailand and Cambodia. Fisheries Sciences, 73, 792-799. https://doi.org/10.1111/j.1444-2906.2007.01398.xCastellano, G.J. (2012) Structure génétique des populations de trois espèces de poissons de récifs cubains: Stegastes partitus, Haemulon flavolineatum et Acanthurus tractus. Thèse de doctorat de l’Université Paris-Sud XI, Paris, 138 p. https://theses.hal.science/tel-00713528Gourene, G. and Teugels, G.G. (1993) Différenciation morphologique de souches des Tilapias Oreochromis niloticus et O. aureus (Teleostei; Cichlidae) utilisées en pisciculture. Cybium, 17, 343-355.Mekkawy, I.A.A., Saber, S.A., Shahata, S.M.A. and Osman, A.G.M. (2002) Morphometrics and Meristics of Four Species of Genus Epinephelus (Family Seranidae) from the Red Sea, Egypt. Bulletin of the Faculty Sciences Assiut University, 31, 21-41.Turan, C. (2004) Stock Identification of Mediterranean Horse Mackerel (Trachurus mediterraneus) Using Morphometric and Meristic Characters. ICES Journal of the Marine Sciences, 61, 774-781. https://doi.org/10.1016/j.icesjms.2004.05.001Nwafili, S.A. and Gao, T.-X. (2016). Genetic Diversity in the mtDNA Control Region and Population Structure of Chrysichthys nigrodigitatus from Selected Nigerian Rivers: Implications for Conservation and Aquaculture. Archives of Polish Fisheries, 24, 85-97. https://doi.org/10.1515/aopf-2016-0010Oremus, M., Garrigue, C. and Cleguer, C. (2015) Etude génétique complémentaire sur le statut de la population de dugongs de Nouvelle-Calédonie. Rapport final Opération Cétacés, 45 p.Brown, V.A., Brooke, A., Fordyce, J.A. and Mccraken, G.F. (2011) Genetic Analysis of Populations of the Threatened Bat Pteropus mariannus. Conservation Genetics, 12, 933-941. https://doi.org/10.1007/s10592-011-0196-yMeyer, C.F.J. (2007) Effects of Rainforest Fragmentation on Neotropical Bats: Land-Bridge Islands as a Model System. Thesis, Ulm Universität, Ulm, 164 p.