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Periodic Effects of Salinity on Compensatory Expression of Phenotypic Traits in Nile Tilapia (Oreochromis niloticus)

PJZ_55_5_2433-2441

Periodic Effects of Salinity on Compensatory Expression of Phenotypic Traits in Nile Tilapia (Oreochromis niloticus)

Yousef Ahmed Alkhamis1,2*, Basanti Mondal3, Roshmon Thomas Mathew2,

Ganesan Nagarajan4,5,6, Sheikh Mustafizur Rahman3, Md. Mostafizur Rahman7, Adnan Alhajji1 and Md. Moshiur Rahman3,8*

1Agriculture and Food Sciences College, King Faisal University, Hofuf-420, Al-Ahsa, KSA

2Fish Resources Research Center, King Faisal University, Hofuf-420, Al-Ahsa, KSA

3Fisheries and Marine Resource Technology Discipline, Khulna University, Khulna-9208, Bangladesh

4Basic Sciences Department, PYD, King Faisal University, Hofuf-420, Al-Asha 31982, Saudi Arabia

5Center of Excellence for the Ocean, National Taiwan Ocean University, Keelung 20224, Taiwan

6Department of Aquaculture, National Taiwan Ocean University, Keelung 20224, Taiwan

7Disaster and Human Security Managements, Bangladesh University of Professionals, Dhaka, Bangladesh

8Department of Biological and Agricultural Engineering, University of California, Davis, United States

ABSTRACT

Salinity fluctuation is a great threat for fish as most species either do not grow well or eventually die in coastal regions where salinity changes happen regularly because of different natural calamities. This study was conducted to explore the effects of periodic changes of salinity on different phenotypic traits in Nile tilapia (Oreochromis niloticus) in order to find out any traits that can be expressed through compensatory growth. Equal sized juvenile Nile tilapias were randomly assigned into two treatments including control treatment (CT: constantly 0 ppt) and salinity treatment (ST: 25 ppt in 1st and 3rd month and 0 ppt in 2nd month). Each treatment contained 45 fish having three replications and the entire study was carried out up to three months. After each experimental month, all the selected phenotypic traits (i. e. standard length, tail length, body area and color pattern) were measured. The results revealed that ST fish had significantly smaller standard length and body area compared to CT fish especially after the 1st month of the experiment, while no significant variations were found in other months. The study also showed no significant variations in tail length and color patterns between CT and ST fish throughout the experimental months. The findings revealed that ST fish showed a trend of compensatory growth (i.e. recovery of standard length and body area) after 2nd month of rearing at control condition (0 ppt). The overall results conclude that periodic salinity fluctuation can affect adversely the growth of fish which is an alarming issue for tilapia farmers and other stakeholders. However, the compensatory development of certain traits through phenotypic plasticity can minimize at least these losses.


Article Information

Received 16 January 2022

Revised 28 January 2022

Accepted 15 February 2022

Available online 30 August 2022

(early access)

Published 17 September 2023

Authors’ Contribution

YAA, SMR, MMR conceived the ideas and designed the experiment, BM, GN, AA carried out the experiment, collected samples, performed laboratory work. MMR, RTM performed the statistical analysis. YAA, MMR, SMR, MMR wrote the manuscript. YAA, MMR, RTM supervised the project and laboratory work. SMR, GN, MMR reviewed and corrected the language of the manuscript.

Key words

Oreochromis niloticus, Compensatory growth, Phenotypes, Body color

DOI: https://dx.doi.org/10.17582/journal.pjz/20220116050126

* Corresponding author: [email protected], [email protected]

0030-9923/2023/0005-2433 $ 9.00/0

Copyright 2023 by the authors. Licensee Zoological Society of Pakistan.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).



INTRODUCTION

Climate change variables including salinity, temperature, pH, dissolved oxygen levels, etc. have significant impacts on fish survival, growth and other physiological activities (Crozier et al., 2021; Huang et al., 2021; O’Connor and Booth, 2021). Among these factors, salinity is considered very important because of its great influence on several phenotypic traits in many fish (Altinok and Grizzle, 2001; Arjona et al., 2008; Overton et al., 2008; Küçük, 2013; Rahman et al., 2022). For examples, growth rate of Eurasian perch (Percafluviatilis) decreases with increasing salinity (Overton et al., 2008). Fluctuation of periodic salinity affects the expression of growth and color pattern in stripped dwarf catfish (Mystus vittatus) (Rahman et al., 2022). Goldfish (Carassius auratus) shows better growth performance at 0 to 2 ppt salinity (Luz et al., 2008). Food consumption rate of common carp (Cyprinus carpio) decreases by increasing salinities (Wang et al., 1997). Lowering salinity from 39 to 15 ppt in marine water causes stress to marine fishes and decreases feed intake and growth rate (Arjona et al., 2008).

Salinity tolerance is a physiological mechanisms and morphological adaptations that balance concentrations of salts in the cells and tissue of an organism against the external environment. There are many factors that can affect the ability of fish to survive because of increase or decrease in salinity. It can vary between species, populations and to some extent individuals of the same population (Dunlop et al., 2005). The duration of exposure and rate of increase in salinity concentrations may also affect salinity tolerance. A population that has exposed to elevated salinity for longer periods may have evolved greater tolerance than another population of the same species that has exposed to a lower concentration of salinity (James et al., 2003). The tolerance or adaptation with the changing environment by fish is only possible through phenotypic plasticity that occurs when individuals of a given genotype adjust their phenotype according to the conditions they experience (Schlichting and Pigliucci, 1996; West-Eberhard, 2003).

Phenotypic plasticity or compensatory phenotypic traits describe the tendency of an organism to express different phenotypes (Agrawal, 2001) such as short-term flexible behavior (Ramachandran et al., 1996; Rodrigues et al., 2009), or long-term developmental changes that affect the adult form (Price, 2006) depending on the environment. A wide range of taxa including insects, fish, frogs, birds and mammals show these compensatory phenotypic traits (Crozier and Hutchings, 2013; Merila and Hendry, 2013; Reusch, 2013; Metcalfe and Monaghan, 2001; Portner and Peck, 2010). It allows an animal to adjust in an immediate environmental change and increase its fitness (Van Buskirk, 2012). A lack of phenotypic plasticity can contribute to the exclusion of species.

Likongwe et al. (1996) reported that a temperature of 28-32oC and salinity of 0-12 ppt can increase rapid growth of juvenile Nile tilapia. Kangombe and Brown (2008) observed that Nile tilapia shows better growth when increasing the salinity from 5 to 10 ppt in fresh water. In another study, Imsland et al. (2008) documented that lowering salinity from 32 to 15 ppt in marine water enhances growth in turbot (Scophthalmusmaximus). Nugon (2003) reported that juveniles of Oreochromis. aureus and O. niloticus exhibit good survival in salinity regimes up to 20 ppt, the Mississippi commercial tilapia survived salinity regimes up to 10 ppt but exhibited poor survival at 20 ppt (5%). Wang et al. (2001) reported that complete mortality can occur when directly transfer O. mossambicus from 0 to above 30ppt. Chervinski and Hering (1973) found Tilapia zillii to survive and grow in salinities of about 40 ppt. Another study reported 100% mortality of T. zillii upon transfer to 30 ppt salinity (Osborne, 1979).

Salinity fluctuations in the environment may occur due to seasonal rainfall, rates of evaporation, tidal oscillations, flood and other reason and this fluctuated salinity can affect survival of fish by interfering with key physiological and metabolic processes such as different developmental stages, osmoregulation and growth (Gomez-Mestre et al., 2004). The Nile tilapia (O. niloticus) is one of the most important vertebrate model species for studies of fish physiology, developmental biology and genetics particularly because of its broad tolerance to an array of environments (Schofield et al., 2011; Grammer et al., 2012; Mathew et al., 2020; Rahman et al., 2022). This species have been observed to exhibit tropic plasticity according to the environment and the other species they coexist with (Bwanika et al., 2007). Therefore, it is very important to know the effect of periodic salinity change on growth and survival of this fish. Several studies on salinity tolerance of tilapias have been conducted (Jennings and Williams, 1992; Suresh and Lin, 1992; Likongwe et al., 1996; Wang et al., 2001; Nugon, 2003; Kangombe and Brown, 2008. But it is not well known whether this species has the capacity to recover from the extreme salinity stress. To best our knowledge, no specific study was conducted to explore whether Nile tilapia exhibits pronounced compensatory growth after periodic salinity stress. Therefore, the present study was carried out to expose the compensatory development of different phenotypic traits due to the periodic salinity stress on Nile tilapia in a controlled laboratory condition.

MATERIALS AND METHODS

Ethical approval

The experimental procedures were approved by the Animal Ethics Committee at Khulna University (Research ref. no.: KUAEC-2017/05/12).

Sample collection and acclimatization

Approximately 200 juveniles of Nile tilapia were collected from a local fish hatchery at Khulna, Bangladesh. The juveniles were then transported in oxygenated poly bag to the Wet Fish Laboratory of Fisheries and Marine Resource Technology (FMRT) Discipline where the experiment was carried out. Then they were transferred in a large aquarium and conditioned for two days before starting the experiment using the glass aquarium (50cm×29cm×30cm). During this time, fish were fed artificial diet (Progoti Feed Ltd. Bangladesh- 31% protein, 5% fat, 12% moisture and 4% fibre) at a rate of 3% of their body weight.

Water quality management

Prior to stocking of fish, each aquarium was cleaned up thoroughly and filled with tap water. Continuous aeration was ensured throughout the experimental periods. About half of the water was removed by siphoning every day to clean the faces and uneaten food. The dead fish (if any) were removed and recorded in the morning and in the evening prior to feeding. Water quality parameters such as temperature, dissolved oxygen (DO), pH, and salinity were recorded daily using the mercury thermometer, DO meter (Lutron DO-5510) and pH meter (Hanna ISO 9001) and a portable refractometer (RHS-10ATC Handheld 0-10% ATC Salinity Refractometer) respectively. About 30-40% water was replaced twice a week.

Experimental design

The overall design of the experiment is shown in Figure 1. Ninety juveniles of Nile tilapia were randomly assigned into two salinity treatments such as control treatment (hereafter known as CT) and salinity treatment (hereafter called as ST). Each treatment had three replications and 15 fish were randomly stocked in each replication up to three months. CT fish were reared constantly at 0 ppt, while ST fish were reared at 25 ppt during 1st and 3rd month and 0 ppt in 2nd month of the experiment. In ST, salinity was increased or decreased gradually (±2 ppt/day) to avoid any salinity stress. The fish were fed the locally available commercial supplementary colorless fish feed (Progoti Feed) every day morning at a rate of 3% of their body weight.

Determination of growth and survival

Before starting the experiment, individual juvenile was anaesthetized using the ice bath and then the standard length (the distance in cm from the snout to the tip of its caudal peduncle) was measured to closest 0.1 cm by using a measuring board. After every month, each fish was anaesthetized using the ice bath. Then a photograph was captured by using a digital camera (Canon DS126621) when a laminated graph paper was placed under each fish. The camera was set with a strand to take the photograph of the fish individually. From the raw images, standard length, tail length (the distance in cm from the caudal peduncle to the end of its caudal fin) and body area (the area (cm2) of the body excluding all fins), were measured by using ImageJ software (version 1.50i). Fish mortality was also monitored and recorded for each tank regularly.

 

Observation of color pattern

Color pattern of individual fish at different experimental periods was visually observed and recorded from the captured raw images. There were three different colors of tilapia observed during the experimental periods such as dark/black color, normal/natural color and fade/pale color (Fig. 2).

 

Statistical analyses

All analyses were performed using ‘RStudio’ version 4.0.2 (R Development Core Team, 2020). The descriptive statistics (means, SD, SEs, etc.) were calculated using the ‘psych’ package (Revelle, 2017), normality and homogeneity were tested with the ‘car’ package (Fox and Weisberg, 2011). First, all traits were tested to check their normal distribution and then appropriate transformations were applied to yield normal distributions for non-normal distributed traits.

The one-way analyses of variance (ANOVA) models using the ‘car’ package was performed to explore the effect of salinity treatments on the expression of different phenotypic traits (e.g. standard length, tail length, body area, color patterns, etc.) throughout the experimental period. The subsequent post-hoc tests were also conducted to do multiple comparisons through tukey contrasts using the multcomp package (Hothorn et al., 2008). To explore the color patterns (i.e. categorical data), the Pearson’s chi-squared test was performed using gmodels packages (Warnes et al., 2015). Cramer’s V based on adjusting chi-square significance was also calculated using ‘vcd’ package (Meyer et al., 2016) to find out the association between color patterns as a percentage of their maximum possible variation. All graphs were made using ggplot2 package (Wickham, 2009).

Results

Effects on growth and survival

Standard length (SL)

The standard length of fish reared in both CT and ST) for three successive months are presented in Figure 3. At the beginning of the experiment (0-month at 0 ppt), there was no difference in SL (F1,88= 0.22, p=0.64) between two treatments. After one month of rearing ST fish at 25 ppt and CT fish at 0 ppt, both CT (F1,88= 43.19, p<0.001) and ST (F1,88= 43.63, p<0.001) fish obtained significant SL than their initial SL. The comparison of SL between CT and ST after one month showed that CT fish were significantly larger than that of ST (F1,88= 3.79, p<0.05). In 2nd experimental month, both CT and ST fish were kept in control conditions (0 ppt) up to one month. No significant variation was found in SL between 1st and 2nd month of CT fish (F1,88=3.05, p=0.08), while a significant difference was found between ST fish (F1,88=8.79, p<0.01). The comparison between CT and ST fish revealed no significant variation in SL during 2nd month (F1,88=0.33, p=0.57). In the last month of this experiment, ST fish was again reared at 25 ppt for one month, while CT group was constantly kept at 0 ppt. After one month, the results revealed a significant variation in SL between 2nd and 3rd month of CT fish (F1,88=7.56, p<0.01), no significant difference was found between ST fish (F1,88=2.89, p=0.09). The comparison between CT and ST fish after 3rd experimental month revealed no significant variation in SL (F1,88=3.14, p=0.08).

Tail length (TL)

After 1st month of the experiment, the comparison of TL between CT (reared in 0ppt) and ST (reared in 25ppt) showed no significant variation (F1,88=1.30 and p=0.26). Similarly, no significant variations in TL were detected between CT and ST fish during 2nd month (F1,88=0.31 and P=0.58) and 3rd month (F1,88=2.07 and P=0.15).

Total body area (TBA)

The comparison of TBA between CT (reared in 0ppt) and ST (reared in 25ppt) fish reared up to one month revealed that CT fish had significantly larger TBA than their counter ST fish (F1,88=5.56, p<0.05 and Fig. 4).Unlikely the 1st month of experiment, the comparison between CT and ST fish revealed no significant variation in TBA when both groups were reared in controlled conditions (F1,88= 0.19, p=0.66 and Fig. 4).After the 3rd month of experiment, the comparison of TBA between CT and ST groups showed again no significant variation (F1,88= 2.03, p=0.16 and Fig. 4). Survival: Throughout the experiment period, this study found 100% fish survival in both CT and ST.

 

Effects on color patterns

The findings of color variation between CT and ST in different months are presented in Table I.

Dark color

The Pearson’s chi-squared test revealed no significant variation in dark coloration between CT and ST fish after one (χ2=0.10 and p=0.75), two (2=0.96 and p=0.33) and three (χ2=0.0 and p=1.0) months of rearing.

Normal color

Like dark coloration, no significant variation was observed in normal coloration between CT and ST fish after one (χ2=1.12 and p=0.29), two (χ2=0.46 and p=0.49) and three (χ2=0.22 and p=0.64) months of rearing.

 

Table I. Outcomes of Pearson’s chi-squared test to explore the color patterns at different experimental periods between control treatment (CT) and salinity treatment (ST).

Month

Treatment

Color patterns with

number of fish

χ2

p

Normal/natural

Dark/black

Fade/pale

1st

CT (0 ppt)

18

5

22

0.10

0.75

ST (25 ppt)

23

6

16

2nd

CT (0 ppt)

18

9

18

0.96

0.33

ST (0 ppt)

16

13

16

3rd

CT (0 ppt)

12

14

19

0.0

1

ST (25 ppt)

14

15

16

 

Fade colour

The Pearson’s chi-squared test revealed no significant variation in fade coloration between CT and ST fish after one (χ2=1.64 and p=0.20), two (χ2=0.46 and p=0.49) and three (2=0.42 and p=0.52) months of rearing.

DISCUSSION

Species specific salinity tolerance is vital for commercial culture of fish in areas where salinity fluctuate abruptly and/or periodically. In coastal regions of tropical areas salinity changes happen regularly and therefore, it is important to explore suitable fish species that can tolerate the any changes of salinity without compromising the growth and survival. In the present study, standard length and total body area of experimental Nile tilapia juveniles were significantly decreased in 1st month when ST fish were reared at 25 ppt. These findings corroborate the results documented by Luz et al. (2008), Lawson and Anetekhai (2011), Kalio (1988), etc. Lawson and Anetekhai (2011) found that total length of Nile tilapia decreased as salinity increased. Similar to the present study, McGeachin et al. (1987) found that the growth rate of O. aureus sharply decreased at 36 ppt. They showed that total length of Nile tilapia increased about 30% and 10% at 0 and 7 ppt, respectively. In another study conducted by Kalio (1988) found increasing the salinity from 25 ppt to 50 ppt that growth of Nile tilapia at high salinity was significantly lower than that in freshwater, whereas survival was not affected by salinity. This study also found that changing salinity has no significant adverse effect on fish survival throughout the experimental periods.

Fishes are living in water need exact concentration of certain substances in water (Moyle and Cech, 1982). Fresh water fishes have high concentration of salt in their body compared to the surrounding water. But when they suddenly exposed to high salinity, water comes out of the body by osmosis and fish can suffer from water deficiency (Wilson, 2011). The rate of osmosis depends on body surface area and concentration gradient. In the present study, ST fish showed a trend of salinity tolerance or adaptation through osmoregulation. When ST fish were gradually exposed to the higher salinity (25 ppt), the growth (SL and body area) significantly decreased compared to CT fish and control condition (0 ppt). But when the ST fish were reared gradually to 0 ppt, their osmoregulatory process switched, i.e. they required less energy to adapt with the freshwater (Kombat et al., 2021; Rahmah et al., 2020) and thereby, they saved the energy that was used for osmosis. Thus, ST fish reared at 0 ppt showed significant increase of SL and body area as a compensatory growth and after one month, they attained almost the same growth as CT fish.

Fish tail (caudal fin) is an important organ to propel its body through water and to move swiftly. Spurný (1998) observed that fish without caudal fin required 40% more energy for movement and its movement was not fluent. It is also the indication of fish health. In the present study, no significant variation of tail length was observed between ST and CT fish throughout the experimental months. This finding together with survival results indicate that the experimental fish were not stressed too much under salinity treatment to compromise with these traits.

Fish body color is an imperative phenotypic trait and considered as a tool for predator escaping (camouflage, bartesian mimicry and palatability signal), prey capture (camouflage, aggressive mimicry) and conspecific communication (mating and agonistic signaling, shoaling preferences) (Cheney et al., 2008; Mills and Patterson, 2009). Body coloration is also influential in contribution to market price and consumer choice (Yilmaz and Ergün, 2011; Mustapha et al., 2012). Although color variations between the treatments in the present study were insignificant, three different color of experimental Nile tilapias were observed. Some studies showed that fishes could change their body color for environmental (e.g. salinity, temperature, habitat, etc.) changes (Fanta, 1997; Fanta et al., 1995; Briand et al., 2005; Rahman et al., 2019, 2020, 2021). In a study, Fanta (1997) reported that body color of Bathygobius soporator valenciennes was more variable when they were exposed to extreme salinity Another study by Fanta et al. (1995) found that Gobionotothen gibberifrons became darker at high salinity and lighter at low salinity. Rahman et al. (2021) found significant effects of periodic salinity variation on color pattern in stripped dwarf catfish. In another study, Rahman et al. (2020) showed that male guppy (Poecilia reticulata) can modulate their color patterns under different rearing temperatures. Rahman et al. (2021) also found an experimental evidence that different light and shelters (PVC pipe) can influence the body color expression in stinging catfish (Heteropneustes fossilis). Thus, studied suggest that at stressed condition, generally light color fish becomes darker and dark color fish becomes lighter (Fanta-Feofiloff et al., 1983; Fanta et al., 1989a, b; Pickering, 1981). Briand et al. (2005) studied on glass eel (Anguilla anguilla) and observed less advanced pigment at higher salinity (0 ppt to 29.2 ppt). Similar finding was also obtained by Briand et al. (2005). As mentioned above, perhaps experimental Nile tilapia reared in different salinities were not stressed too much in this experiment which could have such type of effect on their color patterns.

CONCLUSION

Salinity is one of the most influential aquatic factors that can affect directly or indirectly some phenotypic traits and physiological activities of different fish species. The findings of the present study showed that periodic changes of salinity significantly affect some growth parameters (e.g. SL and body area) of the commercially important Nile tilapia. However, they could compensate this growth when they reared again to the control condition. This is an important information to the farmers and other stakeholders who can reduce their severe losses when they face any salinity change issues in their tilapia farms. Although periodic salinity changes did not show any significant effects on survival and color patterns, some other important traits related to reproduction and offspring fitness should be studied in the future.

ACKNOWLEDGEMENTS

This work was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia [Project No. GRANT372]. Thanks extent to Md. Habibur Rahman for the laboratory assistance.

Statement of conflict of interest

The authors have declared no conflict of interest.

REFERENCES

Agrawal, A.A., 2001. Phenotypic plasticity in the interactions and evolution of species. Science, 294: 321-326. https://doi.org/10.1126/science.1060701

Alsaqufi, A.S., Rahman, S.M., Mathew, R.T., Alkhamis, Y.A., Rahman, M.M. and Aslam, M., 2021. Influences of photoperiod and shelter on some phenotypic traits in African catfish (Clarias gariepinus, Burchell 1822) larvae. Pakistan J. Zool., 53: 1509-1523. https://doi.org/10.17582/journal.pjz/20200507220534

Altinok, I. and Grizzle, J.M., 2001. Effects of brackish water on growth, feed conversion and energy absorption efficiency by juvenile euryhaline and freshwater stenohaline fishes. J. Fish Biol., 59: 1142-1152. https://doi.org/10.1111/j.1095-8649.2001.tb00181.x

Arjona, F.J., Vargas-Chacoff, L., Ruiz-Jarabo, I., Gonçalves, O., Pascoa, I., Martin Del-Rio, M.P. and Mancera, J.M., 2008. Tertiary stress responses in Senegalese sole (Solea senegalensis Kaup, 1858) to osmotic challenge: Implications for osmoregulation, energy metabolism and growth. Aquaculture, 287: 419-426. https://doi.org/10.1016/j.aquaculture.2008.10.047

Briand, C., Fatin, D., Ciccotti, E. and Lambert, P., 2005. A stage-structured model to predict the effect of temperature and salinity on glass eel (Anguilla anguilla) pigmentation development. J. Fish Biol., 67: 993-1009. https://doi.org/10.1111/j.0022-1112.2005.00798.x

Bwanika, G., Murie, D. and Chapman, L., 2007. Comparative age and growth of Nile tilapia (Oreochromis niloticus) in Lakes Nabugabo and Wamala, Uganda. Hydrobiologia, 589: 287-301. https://doi.org/10.1007/s10750-007-0746-y

Cheney, K.L., Grutter, A. and Marshall, N.J., 2008. Facultative mimicry: Cues for colour change and colour accuracy in a coral reef fish. Proc. R Soc. B., 275: 117-122. https://doi.org/10.1098/rspb.2007.0966

Chervinski, J. and Hering, E., 1973. Tilapia zillii (Gervais) (Pisces, Cichlidae) and its adaptability to various saline conditions. Aquaculture, 2: 23-29. https://doi.org/10.1016/0044-8486(73)90122-1

Crozier, L.G. and Hutchings, J.A., 2013. Reviews and synthesis: Plastic and evolutionary responses to climate change in fish. Evol. Appl., 7: 68-87. https://doi.org/10.1111/eva.12135

Crozier, L.G., Burke, B.J., Chasco, B.E., Widener, D.L. and Zabel, R.W., 2021. Climate change threatens Chinook salmon throughout their life cycle. Commun. Biol., 4: 222. https://doi.org/10.1038/s42003-021-01734-w

Dunlop, J., McGregor, G. and Horrigan, N., 2005. Potential impacts of salinity and turbidity in riverine ecosystems. Queensland Department of Natural Resources and Water.

Fanta, E., 1997. Behavior and circadian rhythm of the fish Bathygobius soporator Valenciennes (Gobiidae) under the influence of environmental salinity and temperature. Rev. Brasil. Zool., 14: 221-244. https://doi.org/10.1590/S0101-81751997000100021

Fanta, E., Lucchiari, P.H. and Bacila, M., 1989a. The effect of environmental O2 and Co2 levels on the tissue oxygenation and the behavior of Antarctic fish. Comp. Biochem. Physiol., 93: 819-831. https://doi.org/10.1016/0300-9629(89)90507-0

Fanta, E., Lucchiari, P.H. and Bacila, M., 1989b. The effect of temperature increase on the behavior of Antarctic fish. Proc. NIPR Symp. Polar Biol., 2: 123-130.

Fanta, E., Luvizotto, M.F. and Meyer, A.A., 1995. Gill structure of the Antarctic fishes Notothenia (Gobionotothen) gibberifrons and Trematomusnewnesi, Nototheniidae, stressed by salinity changes and some behavioral consequences. Nankyokushiryo (Antarct. Rec.), 39: 25-39.

Fanta-Feofiloff, E., Takahashi, N.S. and Boscardim, A.T., 1983. Behavioral changes with temperature increase in the Ariidae Genidens genidens (Teleostei, Siluriformes). Arq. Biol. Tecnol. Curitiba, 26: 535-544.

Fox, J. and Weisberg, S., 2011. An (R) companion to applied regression, Second Edition.

Gomez-Mestre, I., Tejedo, M., Ramayo, E. and Estepa, J., 2004. Developmental alterations and osmoregulatory physiology of a larval anuran under osmotic stress. Physiol. Biochem. Zool., 77: 267-274. https://doi.org/10.1086/378143

Grammer, G.L., Slack, W.T., Peterson, M.S. and Dugo, M.A., 2012. Nile tilapia Oreochromis niloticus (Linnaeus, 1758) establishment in temperate Mississippi, USA: multi-year survival confirmed by otolith ages. Aquat. Invasions, 7: 367-376. https://doi.org/10.3391/ai.2012.7.3.008

Huang, M., Ding, L., Wang, J., Ding, C. and Tao, J., 2021. The impacts of climate change on fish growth: a summary of conducted studies and current knowledge. Ecol. Indic., 121: 106976. https://doi.org/10.1016/j.ecolind.2020.106976

Hothorn, T., Bretz, F. and Westfall, P., 2008. Simultaneous inference in general parametric models. Biom. J., 50: 346-363. https://doi.org/10.1002/bimj.200810425

Imsland, A.K., Gustavsson, A., Gunnarsson, S., Foss, A., Arnason, J., Arnarson, I., Jonsson, A.F., Smaradottir, H. and Thorarensen, H., 2008. Effects of reduced salinities on growth, feed conversion efficiency and blood physiology of juvenile Atlantic halibut (Hippoglossus hippoglossus L.). Aquaculture, 274: 254-259. https://doi.org/10.1016/j.aquaculture.2007.11.021

James, K.R., Cant, B. and Ryan, T., 2003. Responses of freshwater biota to rising salinity levels and implications for saline water management: A review. Aust. J. Bot., 51: 703-713. https://doi.org/10.1071/BT02110

Jennings, D.P. and Williams, J.D., 1992. Factors influencing the distribution of blackchin tilapia, Sarotherodon melanotherodon (Osteichthyes: Cichlidae) in the Indian River system, Florida. Northeast Gulf Sci., 12: 111-117. https://doi.org/10.18785/negs.1202.04

Kalio, A.S.F., 1988. Preliminary observations on the effect of salinity on the reproduction and growth of freshwater Nile tilapia, Oreochromis niloticus (L.), cultured in brackishwater ponds. Aquac. Res., 19: 313-320. https://doi.org/10.1111/j.1365-2109.1988.tb00435.x

Kangombe, J. and Brown, J.A., 2008. Effect of salinity on growth, feed utilization and survival of Tilapia rendalli under laboratory conditions. J. appl. Aquacult., 20: 256-271. https://doi.org/10.1080/10454430802498229

Kombat, E.O., Zhao, J., Abakari, G., Owusu-Afriyie, G., Birteeb, P.T. and Alhassan, E.H., 2021. Metabolic cost of acute and chronic exposure of Nile tilapia (Oreochromis niloticus) to different levels of salinity. Aquacult. Res., 52: 6152–6163. https://doi.org/10.1111/are.15477

Küçük, S., 2013. The effects of salinity on growth of goldfish, Carassius auratus and crucian carp, Carassius carassius. Afr. J. Biotechnol., 12: 2082-2087. https://doi.org/10.5897/AJB12.430

Lawson, E.O. and Anetekhai, M.A., 2011. Salinity tolerance and preference of hatchery reared Nile tilapia, Oreochromis niloticus (Linneaus 1758). Asian J. agric. Sci., 3: 104-110.

Likongwe, J.S., Stecko, T.D., Stauffer, J.R. and Carline, R.F., 1996. Combined effects of water temperature and salinity on growth and feed utilization of juvenile Nile tilapia Oreochromis niloticus (Linneaus). Aquaculture, 146: 37-46. https://doi.org/10.1016/S0044-8486(96)01360-9

Luz, R.K., Martinez-Alvarez, R.M., DePedro, N. and Delgado, M.J., 2008. Growth, food intake regulation and metabolic adaptations in goldfish (Carassius auratus) exposed to different salinities. Aquaculture, 276: 171-178. https://doi.org/10.1016/j.aquaculture.2008.01.042

Mathew, R.T., Alsaqufi, A.S. and Alngada, R.S., 2020. Evaluation of date (Phoneix dactylifera) seed powder as dietary additive for Nile Tilapia, Oreochromis niloticus L. Anim. Nutr. Feed Technol., 20: 231-242. https://doi.org/10.5958/0974-181X.2020.00021.9

McGeachin, R.B., Wicklund, R.I., Olla B.L. and Winton, J.R., 1987. Growth of Tilapia aurea in seawater cages. J. World Aquacult. Soc., 18: 31-34. https://doi.org/10.1111/j.1749-7345.1987.tb00415.x

Merila, J. and Hendry, A.P., 2013. Climate change, adaptation, and phenotypic plasticity: The problem and the evidence. Evol. Appl., 7: 1-14. https://doi.org/10.1111/eva.12137

Metcalfe, N.B. and Monaghan, P., 2001. Compensation for a bad start: Grow now, pay later? Trends Ecol. Evol., 16: 254-260. https://doi.org/10.1016/S0169-5347(01)02124-3

Meyer, D., Zeileis, A. and Hornik, K., 2016. VCD visualizing categorical data. R Package Ver., 1: 4-3.

Moyle, P.B. and Cech, J.J., 1982. Fishes: An introduction to ichthyology. 2nd Edition, Prentice-Hall, Inc., Englewood Cliffs.

Mills, M.G. and Patterson, L.B., 2009. Not just black and white: Pigment pattern development and evolution in vertebrates. Semin. Cell Dev. Biol., 20: 72-81. https://doi.org/10.1016/j.semcdb.2008.11.012

Mustapha, M.K., Okafor, B.U., Olaoti, K.S. and Oyelakin, O.K., 2012. Effects of three different photoperiods on the growth and body coloration of juvenile African catfish, Clarias gariepinus (Burchell). Arch. Pol. Fish., 20: 55-59. https://doi.org/10.2478/v10086-012-0007-1

Nugon, R.W., 2003. Salinity tolerance of juveniles of four varieties of tilapia. M.Sc. thesis, Louisiana State University. USA. pp. 76.

O’Connor, C. and Booth, D.J., 2021. Response of estuarine fishes to elevated temperatures within temperate Australia: Implications of climate change on fish growth and foraging performance. J. exp. Mar. Biol. Ecol., 544: 151626. https://doi.org/10.1016/j.jembe.2021.151626

Osborne, T.S., 1979. Some aspects of salinity tolerances and subsequent growth of three tilapia species: Sarotherodon aureus, S. spilurus and Tilapia zillii. White Fish Authority, Fisheries Development Project Field Report, pp. 48.

Overton, J.L., Bayley, M., Paulsen, H. and Wang, T., 2008. Salinity tolerance of cultured Eurasian perch, Perca fluviatilis L.: Effects on growth and survival as a function of temperature. Aquaculture, 277: 282-286. https://doi.org/10.1016/j.aquaculture.2008.02.029

Pickering, A.D., 1981. Stress and fish. Academic Press London. pp. 367.

Portner, H.O. and Peck, M.A., 2010. Climate change effects on fishes and fisheries: Towards a cause and effect understanding. J. Fish Biol., 77: 1745–1779. https://doi.org/10.1111/j.1095-8649.2010.02783.x

Price, T.D., 2006. Phenotypic plasticity, sexual selection and the evolution of colour patterns. J. exp. Biol., 209: 2368-2376. https://doi.org/10.1242/jeb.02183

Rahmah, S., Liew, H.J., Napi, N. and Rahmat, S.A., 2020. Metabolic cost of acute and chronic salinity response of hybrid red tilapia Oreochromis sp. larvae. Aquacult. Rep., 16: 100233. https://doi.org/10.1016/j.aqrep.2019.100233

Rahman, M.M., Nur, N., Mahmud-Al-Hasan, M., Asaduzzaman, S., Rouf, M.A. and Rahman, S.M., 2019. Effects of light and artificial fish shelter (PVC pipe) on some phenotypic traits of stinging catfish (Heteropneustes fossilis Bloch, 1794). Aquacult. Res., 51: 124-134. https://doi.org/10.1111/are.14354

Rahman, M.M., Pinkey, I.A., Ferthous, J., Arafat, S.T., Rahman, S.M., Asaduzzaman, M., Rahman, M.M. and Rouf, M.A., 2020. Modulation of phenotypic traits under different rearing temperatures: Experimental evidence in male guppy (Poecilia reticulata). Int. J. aquat. Biol., 8: 344-364.

Rahman, S.M., Mathew, R.T., Alkhamis, Y.A., Alsaqufi, A.S., Golder, J., Noor, I. and Rahman, M.M., 2022. Effects of periodic salinity variation on the expression of some phenotypic traits in stripped dwarf catfish (Mystus vittatus). J. Anim. Pl. Sci., 32: 280-291.

Rahman, S.M., Alsqufi, A.S., Kundu, P., Mansoor. A.T., Alkhamis, Y.A., Mathew, R.T., Ali, M.Y., Ray, S. and Sarower M.G., 2022. Effect of dietary supplementation of synbiotics “Power Lac” on growth performance, phenotypic traits and digestive enzyme activities of monosex Nile tilapia, Oreochromis niloticus. Fresenius Environ. Bull., 31: 1521-1530.

Ramachandran, V.S., Tyler, C.W., Gregor, R.L., Rogers-Ramachandran, D., Duensing, S., Pillsbury, C. and Ramachandran, C., 1996. Rapid adaptive camouflage in tropical flounders. Nature, 379: 815-818. https://doi.org/10.1038/379815a0

Reusch, T.B.H., 2013. Climate change in the oceans: evolutionary versus phenotypically plastic responses of marine animals and plants. Evol. Appl., 7: 104-122. https://doi.org/10.1111/eva.12109

Revelle, W., 2017. Psych: Procedures for personality and psychological research. Northwestern University, Evanston, Illinois, USA, https://CRAN.R-project.org/package=psychVersion= 1.7.5

Rodrigues, R.R., Carvalho, N.L., Zuanon, J. and Del-Klaro, K., 2009. Color changing and behavioural context in the Amazonian Dwarf Cichlid Apistogramma hippolytae (Perciformes). Neotrop. Ichthyol., 7: 641-646. https://doi.org/10.1590/S1679-62252009000400013

R Development Core Team, 2020. R: A language and environment for statistical computing, version 4.0.2. R Foundation for Statistical Computing, Vienna, Austria. Retrived from: https://www.r-project.org/

Schlichting, C., and Pigliucci, M., 1996. Phenotypic evolution: A reaction norm perspective. Sinauer Associates, Sunderland, MA.

Schofield, P.J., Peterson, M.S., Lowe, M.R., Brown-Peterson, N.J. and Slack, W.T., 2011. Survival, growth and reproduction of non-indigenous Nile tilapia (Oreochromis niloticus (Linnaeus, 1758). I. Physiological capabilities to various temperatures and salinities. Mar. Freshw. Res., 62: 439-449. https://doi.org/10.1071/MF10207

Spurny, P., 1998. Ichthyology (General part). 1. Vyd Mendel University of Agriculture and Forestry Brno, pp. 138.

Suresh, A.V. and Lin, C.K., 1992. Tilapia culture in saline waters: A review. Aquaculture, 106: 201-226. https://doi.org/10.1016/0044-8486(92)90253-H

Van Buskirk, J., 2012. Behavioural plasticity and environmental change. In: Behavioural responses to a changing world: Mechanisms and consequences (eds. U. Candolin and B.B.M. Wong). Oxford University Press, Oxford pp. 145-158. https://doi.org/10.1093/acprof:osobl/9780199602568.003.0011

Wada, T., Aritaki, M. and Tanaka, M., 2004. Effects of low-salinity on the growth and development of spotted halibut Verasper variegates in the larva-juvenile transformation period with reference to pituitary prolactin and gill chloride cells responses. J. exp. Mar. Biol. Ecol., 308: 113-126. https://doi.org/10.1016/j.jembe.2004.02.015

Wang, J., Lui, H., Po, H. and Fan, L., 1997. Influence of salinity on food consumption, growth and energy conversion efficiency of common carp (Cyprinus carpio) fingerlings. Aquaculture, 148: 115-124. https://doi.org/10.1016/S0044-8486(96)01334-8

Wang, Y., Hu, W., Wu, G., Sun, Y., Chen, S., Zhang, F., Zhu, Z., Feng, J. and Zhang, X., 2001. Genetic analysis of all-fish growth hormone gene transferred carp (Cyprinus carpio L.) and its F1 generation. Chin. Sci. Bull., 46: 1174-1177. https://doi.org/10.1007/BF02900596

Warnes, G.R., Bolker, B., Lumley T. and Johnson, R.C., 2015. Contributions from Randall C. Johnson are Copyright SAIC-Frederick, Inc. Funded by the intramural research program, of the NIH, National Cancer Institute and Center for Cancer Research under NCI ContractNO1-CO-12400 gmodels: Various R programming tools for model fitting. R package version 2.16.2. https://CRAN.R- project.org/package=gmodels.

West-Eberhard, M.J., 2003. Developmental plasticity and evolution. Oxford University Press, Oxford. https://doi.org/10.1093/oso/9780195122343.003.0008

West-Eberhard, M.J., 2005. Phenotypic accommodation: Adaptive innovation due to developmental plasticity. J. exp. Zool. B (Mol. Dev. Evol.), 304: 610-618. https://doi.org/10.1002/jez.b.21071

Wickham, H., 2009. Ggplot 2: Elegant graphics for aata analysis. Springer Verlag, New York. https://doi.org/10.1007/978-0-387-98141-3

Wilson, R.W., 2011. Role of the gut gut ion, osmotic and acid-base regulation. In: Encyclopedia of fish physiology (ed. A.P. Farrell). Elsevier, pp. 1419-1428. https://doi.org/10.1016/B978-0-12-374553-8.00209-4

Yılmaz, S. and Ergün, S., 2011. Effect of red pepper (Capsicum annum) on pigmentation of blue streak hap (Labidochromis caeruleus). Isr. J. Aquacult. Bamid., 63: 1-6.

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Pakistan Journal of Zoology

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Pakistan J. Zool., Vol. 56, Iss. 6, pp. 2501-3000

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