Investigation of asymmetry in some morphological characteristics
of two freshwater fishes from Iraq
Artikel-Kategorie: Hydrobiological Studies
Online veröffentlicht: 19. Sept. 2025
Seitenbereich: 178 - 190
Eingereicht: 15. Mai 2025
Akzeptiert: 03. Juli 2025
DOI: https://doi.org/10.26881/oahs-2025.1.14
Schlüsselwörter
© 2025 Fatema Ali Al Fatle et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Random morphological variation in bilaterally symmetric characteristics that is attributed to unfavorable conditions is denominated fluctuating asymmetry (FA) (Al-Hassan et al., 1990; Hermita et al., 2013; Palmer, 1994). High FA is related to low adaptability across species (Almeida et al., 2008; Gonçalves et al., 2002; Hermita et al., 2013; Van Valen, 1962). As an indicator of population fitness and health of the habitat, the use of FA for ecological and biocontrol studies is on the rise (Al-Hassan & Shawafi, 1997; Graham et al., 2010; Jawad, 2000, 2003, 2004, 2013; Jawad et al., 2016; Kristoffersen & Magoulas, 2009). The concept of bilateral asymmetry and specifically of FA can be of importance in fish taxonomy, because it can unveil the presence of cryptic species and hidden diversity when the use of some traditional approaches presents limitations, particularly in complex natural systems. This sort of characterization has been useful for taxonomic purposes in that it exposes differences that may not necessarily have been detected from the standard ones (e.g., see Graham et al., 2010; Palmer & Strobeck, 1986).
High FA has been associated with reduced productivity, growth, reproduction, and survival (Morris et al., 2012), but the latter varies among taxa (Jawad et al., 2001; Lens et al., 2002). Low FA is generally associated with traits in which there is strong directional selection (Gonçalves et al., 2002; Jawad et al., 2001), and different body shapes react to environmental stress in different ways (Ayoade et al., 2004; Graham et al., 1998; Jawad et al., 2012). Multi-trait assessments are preferred because they help to reduce such bias (Leary & Allendorf, 1989; Palmer, 1994).
Fish are the most numerous group of vertebrates and are found virtually in every aquatic environment, thereby not only being vulnerable to the impacts of ecological settings during their growth but also appealing to researchers to evaluate the probability of FA as a marker of ecological well-being (Allenbach, 2011). Almost all endogenic pressures associated with FA in fish are related to congenital, crossing, and hereditary disorders (Fries et al., 2004; Hermita et al., 2013; Palmer & Strobeck, 1986, 2003), while general natural influences include the intensity of progeny and the extent of contest depredation (Allenbach, 2011; Palmer, 1994; Palmer & Strobeck, 2003). Exogenic influences include changes in the environment, differences in water quality, and even climate changes (Jawad et al., 2012; Palmer, 1994). Even though other studies find the relationship between bilateral asymmetry and fish characteristics (Allenbach, 2011), there are few instances in which FA in fish is associated with habitat degradation (Al-Mamry et al., 2011; Ayoade et al., 2004; Jawad et al., 2012).
Among Cyprinidae, Linnaeus conducted the first description of
Heckel (1843) first described the Tigris asp (
The present study investigates the deviation from bilateral symmetry in 10 morphological traits (six morphometric and four meristic) of
Al-Tharthar Lake and the Tigris River in Al-Zubaydia City, Iraq, were the sources of

A map presenting the areas from which the samples of
Gill and throwing nets were used to collect the

Fish species investigated in the present work.

Digital calipers were employed to measure external bodily features to the nearest 0.1 cm. The measurement methodology (e.g., the formula by Valentine et al., 1973) is presented, and the fact that all measurements were conducted by the same individual enhances the reliability of the results.
where
The squared asymmetry coefficient was calculated by equally weighing each external factor. Different total length groups were compared using an analysis of variance (ANOVA) test to detect differences in asymmetry coefficients. To determine if the differences between pair computations of length groups were significant, a Tukey HSD post hoc test was used in addition to the ANOVA test (StatSoft Inc., 1991). Fish samples were ranked based on their overall length for each attribute that was investigated. The total lengths were then employed to separate the fish samples into three groups (100–150, 151–200, and 201–250 mm TL, respectively). Asymmetry coefficients were then equated between each species of fish and then assigned to collaborative groups after performing ANOVA tests.
The bilateral asymmetry results for the 10 external body traits analyzed for both
Squared coefficient asymmetry (CV2a) values and character means (
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
---|---|---|---|---|---|---|---|---|---|---|
CV2a | 87.732 | 86.512 | 76.143 | 77.891 | 73.482 | 80.711 | 84.250 | 79.127 | 70.156 | 69.971 |
250 | 250 | 250 | 250 | 250 | 250 | 250 | 250 | 250 | 250 | |
Character mean | 19.5 | 23.4 | 27.3 | 100.1 | 57.2 | 58.5 | 33.3 | 15.4 | 8.3 | 20.6 |
( |
(0.453) | (0.487) | (0.554) | (0.641) | (0.553) | (0.217) | (0.762) | (0.664) | (0.442) | (0.571) |
% of individuals with asymmetry | 92 | 90 | 82 | 83 | 80 | 87 | 88 | 85 | 78 | 75 |
CV2a | 93.728 | 92.619 | 89.912 | 81.561 | 79.981 | 89.135 | 90.512 | 84.482 | 78.171 | 76.781 |
220 | 220 | 220 | 220 | 220 | 220 | 220 | 220 | 220 | 220 | |
Character mean | 24.7 | 14.3 | 36.4 | 106.4 | 39 | 58.5 | 96.3 | 17.5 | 8.7 | 12.3 |
( |
(0.832) | (0.631) | (0.552) | (0.332) | (0.455) | (0.621) | (0.764) | (0.553) | (0.641) | (0.723) |
% of individuals with asymmetry | 97 | 95 | 91 | 86 | 84 | 90 | 93 | 88 | 82 | 80 |
Morphometric measurements (mm) are 1, SnL; 2, ED; 3, LUJ; 4, HL; 5, CPD; 6, CPL. Meristic characters are: 7, number of the LLS; 8, number of PFR; 9, number of VFR; and 10, NGR.
CPD, caudal peduncle depth; CPL, caudal peduncle length; ED, eye diameter; HL, head length; LLS, lateral line scales; LUJ, length of the upper jaw; NGR, number of gill rakers on the first gill arch; PFR, pectoral fin rays; SD, standard deviation; SnL, snout length; VFR, ventral fin rays.
Individually,
Squared coefficient of variation (CV2a) measurements and character means (
Fish total length group | CV2a | Character mean (Xr + l) (SD) | % of individuals with asymmetry | Fish total length group | CV2a | Character mean (Xr + l) (SD) | % of individuals with asymmetry | ||
---|---|---|---|---|---|---|---|---|---|
SnL | SnL | ||||||||
100–150 | 85.3 | 100 | 18.9 | 76 | 100–150 | 92.0 | 105 | 24.5 | 56 |
151–200 | 86.9 | 110 | 18.7 | 79 | 151–200 | 92.5 | 80 | 23.9 | 63 |
201–250 | 87.7 | 40 | 18.8 | 82 | 201–250 | 93.7 | 35 | 24.4 | 87 |
ED | ED | ||||||||
100–150 | 81.5 | 100 | 23.3 | 56 | 100–150 | 90.5 | 105 | 14.2 | 73 |
151–200 | 84.2 | 110 | 22.9 | 61 | 151–200 | 91.8 | 80 | 14.1 | 81 |
201–250 | 86.3 | 40 | 22.8 | 87 | 201–250 | 92.4 | 35 | 13.9 | 96 |
LUJ | LUJ | ||||||||
100–150 | 71.9 | 100 | 27.5 | 76 | 100–150 | 88.7 | 105 | 36.3 | 92 |
151–200 | 74.5 | 110 | 26.4 | 87 | 151–200 | 89.0 | 80 | 35.9 | 96 |
201–250 | 76.2 | 40 | 26.8 | 99 | 201–250 | 89.3 | 35 | 35.8 | 99 |
HL | HL | ||||||||
100–150 | 73.8 | 100 | 100.5 | 75 | 100–150 | 80.9 | 105 | 106.3 | 76 |
151–200 | 75.6 | 110 | 99.87 | 78 | 151–200 | 81.3 | 80 | 105.9 | 79 |
201–250 | 77.3 | 40 | 99.91 | 82 | 201–250 | 81.4 | 35 | 106.1 | 83 |
CPD | CPD | ||||||||
100–150 | 70.8 | 100 | 57.1 | 78 | 100–150 | 79.0 | 105 | 38.9 | 56 |
151–200 | 71.7 | 110 | 56.9 | 79 | 151–200 | 79.3 | 80 | 38.8 | 59 |
201–250 | 73.5 | 40 | 56.8 | 82 | 201–250 | 79.8 | 35 | 38.7 | 67 |
CPL | CPL | ||||||||
100–150 | 79.1 | 100 | 58.4 | 83 | 100–150 | 88.5 | 105 | 58.4 | 42 |
151–200 | 79.4 | 110 | 57.9 | 86 | 151–200 | 88.9 | 80 | 57.9 | 65 |
201–250 | 80.5 | 40 | 57.7 | 89 | 201–250 | 89.0 | 35 | 58.1 | 78 |
Number of the LLS | Number of the LLS | ||||||||
100–150 | 81.2 | 100 | 33.1 | 75 | 100–150 | 89.9 | 105 | 96.2 | 72 |
151–200 | 81.9 | 110 | 32.9 | 88 | 151–200 | 90.0 | 80 | 95.9 | 78 |
201–250 | 84.3 | 40 | 33.5 | 94 | 201–250 | 90.4 | 35 | 96.4 | 81 |
Number of the PFR | Number of the PFR | ||||||||
100–150 | 78.8 | 100 | 15.3 | 78 | 100–150 | 83.8 | 105 | 17.4 | 81 |
151–200 | 79.0 | 110 | 15.7 | 88 | 151–200 | 84.0 | 80 | 16.9 | 86 |
201–250 | 79.2 | 40 | 14.9 | 96 | 201–250 | 84.3 | 35 | 17.3 | 90 |
Number of the VFR | Number of the VFR | ||||||||
100–150 | 69.8 | 100 | 8.5 | 90 | 100–150 | 77.5 | 105 | 8.6 | 65 |
151–200 | 70.1 | 110 | 8.3 | 93 | 151–200 | 77.8 | 80 | 8.5 | 69 |
201–250 | 70.4 | 40 | 8.1 | 97 | 201–250 | 78.0 | 35 | 7.9 | 79 |
NGR | NGR | ||||||||
100–150 | 68.7 | 100 | 20.7 | 76 | 100–150 | 77.0 | 105 | 12.2 | 88 |
151–200 | 69.0 | 110 | 19.9 | 78 | 151–200 | 77.2 | 80 | 11.9 | 89 |
201–250 | 69.3 | 40 | 20.5 | 86 | 201–250 | 77.6 | 35 | 12.1 | 95 |
CPD, caudal peduncle depth; CPL, caudal peduncle length; ED, eye diameter; HL, head length; LLS, lateral line scales; LUJ: length of the upper jaw; NGR, number of gill rakers on the first gill arch; PFR, pectoral fin rays; SD, standard deviation; SnL, snout length; VFR, ventral fin rays.
In the case of the two studied species, the proportion of individuals with asymmetric SnLs was the greatest. On the contrary, asymmetry in the NGR showed the lowest percentage of individuals with this deviation from perfect laterality (Table 1). Regardless of whether an individual is sinistral or dextral, all features analyzed are dextral and found right in higher value than left. The one exception here is the PFR count, which is sinistral, with the left side having a higher count than the right.
Fish species have been found to exhibit extensive bilateral asymmetry in terms of SnL (Al-Hassan et al., 1990; Jawad, 2013; Jawad & Abed, 2021; Jawad et al., 2016, 2023a, 2023b). The direct differences in the habitat may explain the tendency of this feature, as well as this convergence in the consequence of bilateral asymmetry. It may therefore be considered a useful impact bioindicator in aquatic animal habitats. In both of the fish species studied, the NGR showed reduced bilateral asymmetry estimations, suggesting that this trait may be more vulnerable to ecological influence events involving pollution. The smaller bilateral asymmetry values acquired for gill rakers on the first gill arch in both species may possibly be clarified on the assumption that the mounting time of gill rakers on the first gill arch may not accord with the existence of contrasting ecological issues (Jawad, 2003).
Toxic chemical and organic wastes in Iraq’s freshwater environments affected animals, leading to abnormalities in their external body attributes (Jawad et al., 2017).
The ANOVA test outcomes showed that the samples included in the higher fish size bounds of
The values achieved within the present study are compared with the FA values for the body external traits of other freshwater fish species in Iraq and around the world in order to highlight any discrepancies in the promptness of the 10 morphological body attributes of
Comparing the asymmetry coefficients (CV2a) for the nine morphologic features of
Coefficient of asymmetry (CV2a) | |||||||||
---|---|---|---|---|---|---|---|---|---|
Species | 1 | 2 | 3 | 4 | 7 | 8 | 9 | 10 | Reference |
- | - | - | - | 35.7–42.6 | 40.0–49.0 | 2.0–5.7 | - | Sinha and Tilak (1968) | |
95.8 | - | - | - | - | 87.2 | - | - | Al-Hassan et al. (1990) | |
79.2 | - | - | - | - | 57.8 | - | - | Al-Hassan and Hassan (1994) | |
48.9 | - | - | - | - | 32.1 | - | 45.2 | Jawad (2004) | |
6.2–44.0 | 8.43–90.1 | - | - | 6.7–81.8 | - | - | - | Jawad et al. (2016) | |
5.3–77.2 | 4.6–91.4 | - | 57.9–58.4 | 5.8–48.7 | 58.6–59.7 | - | - | Jawad et al. (2016) | |
59.3–61.3 | 55.7–60.4 | 59.6–62.8 | 58.9–62.1 | Jawad and Gnohossou (2019) | |||||
58.2–62.2 | 58.1–59.6 | - | 57.9–58.4 | - | 58.6–59.7 | - | - | Jawad and Gnohossou (2019) | |
119.9 | 123.4 | 120.3 | 112.2 | - | - | - | - | Jawad et al. (2020) | |
75.2–94.3 | 44.2–44.9 | 33.3–39.4 | 45.2–48.6 | - | - | - | - | Jawad and Abed (2021) | |
17.8 | 20.1 | 19.2 | - | 19.5 | 19.1 | 19.6 | Jawad et al. (2023a, 2023b) | ||
19.9 | 17.5 | 19.1 | - | 19.1 | - | - | 19.0 | Jawad et al. (2023a, 2023b) | |
20.3 | 20.1 | 19.2 | - | 19.5 | 19.1 | - | 19.6 | Jawad et al. (2023a, 2023b) | |
20.4 | 19.2 | 19.1 | - | 18.9 | 19.2 | - | 19.0 | Jawad et al. (2023a, 2023b) | |
16.2 | 16.9 | 15.5 | - | 15.0 | 15.2 | - | 15.2 | Jawad et al. (2023a, 2023b) | |
29.4 | 29.6 | 28.9 | - | 28.7 | 28.7 | - | 28.9 | Jawad et al. (2023a, 2023b) |
1, SnL; 2, ED; 3, LUJ; 4, HL; 6, number of the LLS; 7, number of PFR; 8, number of the VFR; and 9, NGR.
ED, eye diameter; HL, head length; LLS, lateral line scales; LUJ, length of the upper jaw ; NGR, number of gill rakers on the first gill arch; PFR, pectoral fin rays; SnL, snout length; VFR, ventral fin rays.
The degree of SnL asymmetry exhibited by the two species is analyzed in this study. This morphological feature shows high FA, in accordance with what was found for
These higher asymmetry values than those in Table 3 could indicate more environmental stress, environmental variables not examined, such as pollution, temperature changes, or water quality, affecting the populations sampled. Alternatively, genetic factors, such as inbreeding or reduced genetic variation within the study populations, might also play a role in the increase of developmental instability. It would be necessary to use both ecological and genetic data to determine the causes of the observed patterns of asymmetry. One of the most common features examined in studies of fish asymmetry is the number of gill rakers (Allenbach, 2011; Jawad et al., 2012; Øxnevad et al., 2002). Consistent with our findings, other researchers have found similar significant levels of environmental-related asymmetry in gill rakers of the striped bass
Various other given accounts from around the world have verified that contamination was overall probably liable for high estimates of bilateral asymmetry (Elie & Girard, 2014). Common trace metals and other compounds are known to become more toxic when temperatures and salinities increase (Elie & Girard, 2014). Such results were given by Majeed et al. (2022) in finding that the two regions studied had quite high water temperatures on average.
It has been demonstrated that different fish body components react differently to pollution in their respective niches. For example, Michaelsen et al. (2015) found that oil contamination has noticeable effects on the eye but not on the length of the paired fins. These researchers observed that the effects of asymmetry on fish eyes were less severe than those on paired fins. Conversely, Allenbach (2011) found that eye asymmetry is more often considered an ecological consequence than paired fin asymmetry. This belief was supported by Palmer and Strobeck (1986), who suggested that characteristics that are active during development are less susceptible biomarkers of an animal’s growing unsteadiness.
Concerning ED asymmetry, the present study found high values that were consistent in magnitude with the variability reported for other morphological traits. The conclusions of this research are in line with those made in earlier studies, verifying the species-specific competencies of fish attributes in order to determine asymmetry (Allenbach, 2011; Al-Mamry et al., 2011; Jawad et al., 2012; Øxnevad et al., 2002).
The high pollution estimates at both the Tigris River near Al-Zubaydia City and Al-Tharthar at the Euphrates River are reported. Al-Rubayi et al. (2011) noted that the heavy pollution with particulate organic matter is affecting the distribution of the fish species
Continuing with water contamination, on one hand, Al-Tamimi and Al-Gafily (2009) indicate that the sewage treatment plant in Ramadi greatly affects the water quality of the Euphrates River in al-Ramadi Province, site of the Al-Tharthar reservoir. They also concluded that this effect leads to a significant reduction in the dissolved oxygen levels in the river water, which in turn has an ecological impact.
FA is used in fish taxonomy to identify cryptic species or ecologically impacted populations, as it often reflects genetic disruptions, hybridization, or habitat degradation (Palmer & Strobeck, 1986). For example, FA in guppy meristic traits helps distinguish genetically distinct groups (Van Valen, 1962), while otolith or cranial asymmetry may reveal intraspecific variation (Palmer & Strobeck, 1986). However, not a standalone tool, FA complements molecular and morphological data in studying parallel evolution and population resilience (Møller & Swaddle, 1997). In cichlids, FA has aided taxonomic studies, such as jaw dimorphism in
The findings show that, in comparison to other species, the asymmetry values for the 10 exterior morphological body features of
In addition, our results show that, during the departures from bilateral symmetry reported in