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Effect of temperature on survival, intermolt period, and growth of juveniles of two mud crab species, Scylla paramamosain and Scylla serrata (Decapoda: Brachyura: Portunidae), under laboratory conditions

Abstract

Temperature affects ectotherm's biological processes and plays a fundamental role in determining their geographical distribution. We elucidated the temperature adaptation of juveniles of two mud crab species in the genus Scylla De Haan, 1833 (in De Haan, 1833-1850): Scylla paramamosain Estampador, 1949 and Scylla serrata (Forskål, 1775), which occur mainly in temperate and subtropical/tropical areas in Japan, respectively. The first instar crabs (C1) were raised from three broods for each species and were individually cultured to molt to C2-C5 at different temperatures (15.2-30.5 °C℃). In S. paramamosain, C1 juveniles could molt to C2 at 15.4 °C and the survival rate was reduced at 29.8 °C through C4-C5. In S. serrata, C1 juveniles could not molt to C2 at 15.2 °C and the survival rate was not affected by temperature thereafter. The intermolt period was shortened at higher temperatures in both species. The carapace width of juveniles increased with increasing temperature but became smaller at 27.6-30.2 °C in S. paramamosain, whereas it appeared to reach a plateau at > 24 °C in S. serrata. The lower threshold temperature (95 % confidence interval) for the development of C1 juveniles was estimated as 13.65 °C (13.51-13.77 °C) for S. paramamosain, and 15.44 °C (15.12-15.72 °C) for S. serrata. Thus, juveniles of S. paramamosain and S. serrata adapted to lower and higher temperature conditions, respectively, reflecting their biogeographical distribution.

Keywords:
Biogeography; geographical distribution; nursery culture; temperature adaptation; threshold temperature

INTRODUCTION

The thermal environment strongly influences biological processes, such as the behavior, survival, and growth of ectothermic animals, and it is an important factor that defines their distribution (Pörtner, 2001Pörtner, H.O. 2001. Climate change and temperature-dependent biogeography: oxygen limitation of thermal tolerance in animals. Naturwissenschaften, 88: 137-146.; Sunday et al., 2011Sunday, J.M.; Bates, A.E. and Dulvy, N.K. 2011. Global analysis of thermal tolerance and latitude in ectotherms. Proceedings of the Royal Society B: Biological Sciences, 278: 1823-1830.; Araújo et al., 2013Araújo, M.B.; Ferri-Yáñez, F.; Bozinovic, F.; Marquet, P.A.; Valladares, F. and Chown, S.L. 2013. Heat freezes niche evolution. Ecology Letters, 16: 1206-1219.; Hoffmann et al., 2013Hoffmann, A.A.; Chown, S.L. and Clusella-Trullas, S. 2013. Upper thermal limits in terrestrial ectotherms: how constrained are they? Functional Ecology, 27: 934-949.).

Mud crabs in the genus Scylla De Haan, 1833 (in De Haan, 1833-1850) (Decapoda: Brachyura: Portunidae) are important fishery resources in the Indo-Pacific, from warm temperate through subtropical to tropical regions (Keenan and Blackshaw, 1999Keenan, C.P. and Blackshaw, A. 1999. Mud crab aquaculture and biology. ACIAR proceedings, No. 78. Canberra, Australian Centre for International Agricultural Research, 216p.; LeVay, 2001Le Vay, L. 2001. Ecology and management of mud crab Scylla spp. Asian Fisheries Science, 14: 101-111.; Ogawa et al., 2011Ogawa, C.Y.; Hamasaki, K.; Dan, S. and Kitada, S. 2011. Fishery biology of mud crabs Scylla spp. at Iriomote Island, Japan: species composition, catch, growth and size at sexual maturity. Fisheries Science, 77: 915-927.; 2012Ogawa, C.Y.; Hamasaki, K.; Dan, S.; Obata, Y. and Kitada, S. 2012. Species composition, reproduction, and body size of mud crabs, Scylla spp., caught in Urado Bay, Japan. Journal of Crustacean Biology, 32: 762-768.). They consist of four species: Scylla paramamosain Estampador, 1949, Scylla serrata (Forskål, 1775), Scylla olivacea (Herbst, 1796), and Scylla tranquebarica (Fabricius, 1798) (Keenan and Blackshaw, 1999). In Asian and Oceanian countries, they are also treated as important aquaculture target species (Keenan and Blackshaw, 1999; Azra et al., 2019Azra, M.N.; Aaqillah-Amr, A.; Ikhwanuddin, M.; Ma, H.; Waiho, K.; Ostrensky, A.; Tavares, C.P.d.S and Abol-Munafi, A.B. 2019. Effects of climate-induced water temperature changes on the life history of brachyuran crabs. Reviews in Aquaculture, 12: 1211-1216.). The main aquaculture target species are S. paramamosain and S. serrata (Allan and Fielder, 2004Allan, G. and Fielder, D. 2004. Mud crab aquaculture in Australia and Southeast Asia. Proceedings of the ACIAR crab aquaculture scoping study and workshop. ACIAR working paper, No. 54. Canberra, Australian Centre for International Agricultural Research, 70p.). The former is cultured mainly in China (Ye et al., 2010Ye, H.; Tao, Y.; Wang, G.; Lin, Q.; Chen, X. and Li, S. 2010. Experimental nursery culture of the mud crab Scylla paramamosain (Estampador) in China. Aquaculture International, 19: 313-321) and Vietnam (Nghia et al., 2007Nghia, T.T.; Wille, M.; Binh, T.C.; Thanh, H.P.; Van Danh, N. and Sorgeloos, P. 2007. Improved techniques for rearing mud crab Scylla paramamosain (Estampador 1949) larvae. Aquaculture Research, 38: 1539-1553.), and the latter mainly in the Philippines (Quinitio and Parado-Estepa, 2011Quinitio, E.T. and Parado-Estepa, F.D. 2011. Survival and growth of mud crab, Scylla serrata, juveniles subjected to removal or trimming of chelipeds. Aquaculture, 318: 229-234.) and Australia (Ruscoe et al., 2004Ruscoe, I.M.; Shelley, C.C. and Williams, G.R. 2004. The combined effects of temperature and salinity on growth and survival of juvenile mud crabs (Scylla serrata Forskål). Aquaculture, 238: 239-247.).

In Japan, three mud crab species, S. paramamosain, S. serrata, and S. olivacea, occur (Oshiro, 1988Oshiro, N. 1988. Mangrove crabs (Scylla spp.). p. 198-209. In: S. Shokita (ed), Aquaculture in Tropical Areas. Tokyo, Midorishobo. (In Japanese)), and the two former species are important components of local fisheries in small brackish water bays and inlets (Obata et al., 2006Obata, Y.; Imai, H.; Kitakado, T.; Hamasaki, K. and Kitada, S. 2006. The contribution of stocked mud crabs Scylla paramamosain to commercial catches in Japan, estimated using a genetic stock identification technique. Fisheries Research, 80: 113-121.; Hamasaki et al., 2011Hamasaki, K.; Obata, Y.; Dan, S. and Kitada, S. 2011. A review of seed production and stock enhancement for commercially important portunid crabs in Japan. Aquaculture International, 19: 217-235.; Ogawa et al., 2011Ogawa, C.Y.; Hamasaki, K.; Dan, S. and Kitada, S. 2011. Fishery biology of mud crabs Scylla spp. at Iriomote Island, Japan: species composition, catch, growth and size at sexual maturity. Fisheries Science, 77: 915-927.; 2012Ogawa, C.Y.; Hamasaki, K.; Dan, S.; Obata, Y. and Kitada, S. 2012. Species composition, reproduction, and body size of mud crabs, Scylla spp., caught in Urado Bay, Japan. Journal of Crustacean Biology, 32: 762-768.). Scylla paramamosain is distributed on the Pacific coast of Honshu, a warm temperate area of Japan; S. serrata is mainly distributed in the Ryukyu Archipelago, a subtropical area of Japan that is more southern (Oshiro, 1988Oshiro, N. 1988. Mangrove crabs (Scylla spp.). p. 198-209. In: S. Shokita (ed), Aquaculture in Tropical Areas. Tokyo, Midorishobo. (In Japanese); Ogawa et al., 2011Ogawa, C.Y.; Hamasaki, K.; Dan, S. and Kitada, S. 2011. Fishery biology of mud crabs Scylla spp. at Iriomote Island, Japan: species composition, catch, growth and size at sexual maturity. Fisheries Science, 77: 915-927.; 2012Ogawa, C.Y.; Hamasaki, K.; Dan, S.; Obata, Y. and Kitada, S. 2012. Species composition, reproduction, and body size of mud crabs, Scylla spp., caught in Urado Bay, Japan. Journal of Crustacean Biology, 32: 762-768.). Therefore, it is hypothesized that S. paramamosain may adapt better to lower temperature environments than S. serrata. Hamasaki (2002Hamasaki, K. 2002. Effects of temperature on the survival, spawning and egg incubation period of overwintering mud crab broodstock, Scylla paramamosain (Brachyura: Portunidae). Aquaculture Science, 50: 301-308.; 2003Hamasaki, K. 2003. Effects of temperature on the egg incubation period, survival and developmental period of larvae of the mud crab Scylla serrata (Forskål) (Brachyura: Portunidae) reared in the laboratory. Aquaculture, 219: 561-572.) supported this hypothesis by determining the biological lower threshold temperature for egg development as 13.98 °C for S. paramamosain and 15.70 °C for S. serrata. Larvae of mud crabs grow into the juvenile stage through pelagic zoeal and megalopal stages (Keenan and Blackshaw, 1999Keenan, C.P. and Blackshaw, A. 1999. Mud crab aquaculture and biology. ACIAR proceedings, No. 78. Canberra, Australian Centre for International Agricultural Research, 216p.; Hamasaki et al. 2011Hamasaki, K.; Obata, Y.; Dan, S. and Kitada, S. 2011. A review of seed production and stock enhancement for commercially important portunid crabs in Japan. Aquaculture International, 19: 217-235.). After settlement, mud crab juveniles must survive and grow through environmental adaptations. However, the temperature adaptation of the juvenile crabs of these species has not been clarified.

Some studies have examined the effects of temperature on the survival and development of juveniles of S. paramamosain (Gong et al., 2015Gong, J.; Yu, K.; Shu, L.; Ye, H.; Li, S. and Zeng, C. 2015. Evaluating the effects of temperature, salinity, starvation and autotomy on molting success, molting interval and expression of ecdysone receptor in early juvenile mud crabs, Scylla paramamosain. Journal of Experimental Marine Biology and Ecology, 464: 11-17.; Syafaat et al., 2021Syafaat, M.N.; Azra, M.N.; Mohamad, F.; Che-Ismail, C.Z.; Amin-Safwan, A.; Asmat-Ullah, M.; Syahnon, M.; Ghazali, A.; Abol-Munafi, A.B.; Ma, H. and Ikhwanuddin, M. 2021. Thermal tolerance and physiological changes in mud crab, Scylla paramamosain crablet at different water temperatures. Animals, 11: 1146. doi:10.3390/ani11041146.
https://doi.org/doi:10.3390/ani11041146...
) and S. serrata (Ruscoe et al., 2004Ruscoe, I.M.; Shelley, C.C. and Williams, G.R. 2004. The combined effects of temperature and salinity on growth and survival of juvenile mud crabs (Scylla serrata Forskål). Aquaculture, 238: 239-247.; Baylon, 2010Baylon, J.C. 2010. Effects of salinity and temperature on survival and development of larvae and juveniles of the mud crab, Scylla serrata (Crustacea: Decapoda: Portunidae). Journal of the World Aquaculture Society, 41: 858-873.) under laboratory conditions. However, the minimum temperature for culturing juveniles was higher in experiments for S. serrata (20 °C) than in those for S. paramamosain (14 °C). Consequently, further study under a similar culture temperature regime is required to clarify the temperature adaptation of these mud crab species. In the present study, we aimed to compare and evaluate the temperature adaptation of S. paramamosain and S. serratathrough juvenile culture experiments.

MATERIALS AND METHODS

Experimental animals

We conducted three culture experiments using juvenile crabs raised from three different broods for each species at the Yaeyama Field Station, Japan Fisheries Research and Education Agency, Ishigaki, Okinawa Prefecture, Japan.

Three wild mature females of S. paramamosain were caught in Urado Bay (33°31'N 133°33'E), Kochi Prefecture, Japan, in February 2020 (brood 1, 125 mm in carapace width (CW); brood 2, 131 mm CW; and brood 3, 127 mm CW). Those of S. serrata were collected in Iriomotejima Island (24°20'N 123°45'E), Okinawa Prefecture, Japan, in August 2018 (brood 1, 147 mm CW) or Okinawajima Island (26°20'N 127°51'E), Okinawa Prefecture, Japan, in October 2020 (brood 2, 156 mm CW; brood 3, 172 mm CW).

Females were reared individually in 200 L tanks with a flow-through water system under natural temperature and salinity conditions (around 34 ppt). They were fed frozen krill Euphausia sp. and short-necked clams Ruditapes philippinarum (A. Adams and Reeve, 1850). After the eggs were laid, we periodically observed their development and transferred each ovigerous female with mature eggs to a 500 L tank for larval hatching. Culture temperature (mean ± standard deviation) during the egg incubation period was 22.4 ± 0.6 °C, 22.5 ± 0.7 °C, and 27.6 ± 0.6 °C for broods 1-3 of S. paramamosain, respectively, and 25.0 ± 0.5 °C, 21.8 ± 0.8 °C, and 23.3 ± 0.5 °C for broods 1-3 of S. serrata, respectively.

The newly hatched zoeae from each brood were stocked at a density of 20 individuals/L in a 500 L tank. They were fed rotifers Brachionus plicatilis Müller, 1786 species complex (S-morphotype) and Artemia nauplii. Larvae metamorphosed into megalopae 18-21 days after hatching. The 4-5-day-old megalopae from each brood were transferred into a 15 L container and fed Artemia nauplii. Rearing waters of zoeae and megalopae were not renewed during the culture period, and the water temperatures for culturing larvae were ~24-27°C. Larvae molted to the first instar crabs (C1) in late April 2020 (broods 1 and 2) and late July 2020 (brood 3) for S. paramamosain and in mid-December 2018 (brood 1), late March 2021 (brood 2), and late April 2021 (brood 3) for S. serrata.

Juvenile culture under different temperatures

The first instar crabs (C1) within a day of molting from the megalopae were used for the culture experiments under 4-7 different temperature levels within a range of 15-30 °C. Juveniles were cultured for the designated period in each species-brood until surviving animals had reached the designated instar crabs (second to fifth instar crabs, C2-C5), depending on the respective temperature levels. Culture temperature, culture period, and the instar at the end of the experiments are summarized for respective species-broods in Tab. 1. Low temperatures were not tested on older instar crabs because of a limited space for culturing juvenile crabs in the laboratory. The crab culture began on the same day in most treatments, but it exceeded 2 days in brood 3 of S. paramamosain and brood 1 of S. serrata, depending on their larval developmental processes.

Table 1.
Culture temperature (mean ± standard deviation), culture period, and the instar at the end of culture experiments in two mud crab species, Scylla paramamosain and S. serrata.

The C1 juveniles were individually reared in 50 mL plastic tubes (FalconTM Conical Centrifuge Tube, Corning Japan KK, Tokyo, Japan) containing 40 mL UV-sterilized seawater (salinity, ~34 ppt). The experimental tube was maintained in temperature-controlled incubation chambers with a photoperiod cycle of 12 h light and 12 h dark (MT1-201, Tokyo Rikakikai Co. Ltd., Tokyo, Japan). Ten crabs were used for each temperature level in all experiments.

Daily observations were made on the occurrence of molting and whether the crabs were alive or dead. After observations, all the culture water was replaced, and Artemia nauplii was given as food at densities of 5 individuals/mL for C1, 12 individuals/mL for C2, and 15 individuals/mL for C3-C5. Carapace width (the widest portion of the carapace) of cultured crabs was measured using digital calipers, and measurements were taken during the intermolt period at each instar.

Data analysis

Statistical analyses were performed using R statistical software (R4.1.1; R Core Team, 2021R Core Team. 2021. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. Available at Available at https://www.R-project.org/. Accessed on 10 August 2021.
https://www.R-project.org/. ...
) at a 5 % significance level. To evaluate the effect of temperature on the survival of the juveniles of each species while considering brood differences, we used a bias-reduced generalized linear model (BRGLM) with a binomial distribution, that is, a logistic model. In the BRGLM analysis, binary survival (1) or death (0) until the respective instar crabs was a response variable, and temperature and brood identity were continuous and categorical explanatory variables, respectively. The coefficients of a logistic equation (with standard errors; z-values with probabilities) were estimated using the brglm function (logit link) implemented in the brglm package (Kosmidis and Firth, 2021Kosmidis, I. and Firth, D. 2021. Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models. Biometrika, 108: 71-82.). The survival analysis was not performed for C4 of S. serrata because all crabs survived at all temperature levels.

We evaluated the influence of temperature (T) and brood (B) (continuous and categorical explanatory variables, respectively) on the intermolt period (number of days) and growth (carapace width) of each instar crab in each species (response variables) using a generalized linear model (GLM) with a Poisson distribution and a linear model (LM), respectively. In these analyses, two models were applied considering the nonlinear effect of temperature: model 1, y ~ T + T2 + B and model 2, y ~ T + B. The coefficients of the models were estimated, and their statistical significance was evaluated using the glm function for Poisson-GLM (log link) analyses and the lm function for LM analyses. The model with a lower Akaike information criterion (Akaike, 1973Akaike, H. 1973. Information theory and an extension of the maximum likelihood principle. p. 267-281. In: B.N. Petrov and F. Csaki (eds), 2nd International Symposium on Information Theory. Tsahkadsor, Armenia, USSR, September 2-8, 1971. Budapest, Akadémiai Kiadó.) value was selected and shown to be the best for each instar crab in each species. Differences in the intermolt period and carapace width between the broods of each species were tested with Tukey’s method using the glht function in the multcomp package (Hothorn et al., 2008Hothorn, T.; Bentz, F. and Westfall, P. 2008. Simultaneous inference in general parametric models. Biometrical Journal 50: 346-363.).

To compare the low-temperature adaptation of juveniles of the two species, the relationship between temperature (T) and intermolt period (D) was evaluated using the heat summation theory equation (Hamasaki, 2003Hamasaki, K. 2003. Effects of temperature on the egg incubation period, survival and developmental period of larvae of the mud crab Scylla serrata (Forskål) (Brachyura: Portunidae) reared in the laboratory. Aquaculture, 219: 561-572.): D = a/(T − b). The parameters a and b are the so-called “thermal constant” and “lower threshold temperature (LTT)”, respectively, for biological development. The thermal constant summarizes the effective temperature for development (> threshold temperature) up to a selected biological endpoint. We used the data set of temperature and the intermolt period of C1 juveniles to determine the heat summation theory equation because they were cultured at the widest temperature range among respective instar crabs in both species. The parameters were estimated using a nonlinear ordinary least-squares method and evaluated with t-tests using the nls function. The 95 % confidence interval (CI) for each parameter was estimated with the confint function.

RESULTS

Survival

The survival rate of juveniles was not significantly different among broods in both species (Tab. 2). In S. paramamosain, temperature significantly affected the survival of juveniles and their ability to reach C2, C4, and C5 (Tab. 2). Survival rates decreased at the lowest temperature level (15.3 °C) when juveniles molted to C2 although they still showed high values (80 %) (Fig. 1). Then, survival rates were maintained above 90 % at 19.0-30.3 °C. However, they largely declined with increasing temperature from 24.7 to 29.8 °C through C4-C5, with final survival rates of 100 % and 30-40 % at 24.7 and 29.8 °C, respectively. In S. serrata, temperature significantly affected the survival of juveniles and their ability to reach C2 and C3 (Tab. 2). Survival rates decreased at lower temperature levels (15.2-19.6 °C) through C2-C3, and juveniles could not molt to C2 at the lowest temperature level (15.2 °C) (Fig. 2). Then, survival rates showed relatively high values (> 80 %) through C4-C5 at test temperatures (21.9-30.5 °C).

Table 2.
Coefficient estimates with standard errors (SE) for the explanatory variables in the generalized linear model with a binomial distribution to evaluate the juvenile survival (alive or not) until the respective instar crabs (response variable) under different temperature (T) and brood (B, nos. 1-3) conditions (explanatory variables) in two mud crab species Scylla paramamosain and S. serrata. The coefficient estimate for brood was the output for brood nos. 2 and 3, representing changes in the response variable relative to the baseline category (brood no. 1). The statistical analysis was not performed for C4 of S. serrata because all crabs survived at all temperature levels. Crabs from brood no. 3 of S. paramamosain were cultured until molting to C4.

Figure 1.
Survival rates of Scylla paramamosain juveniles under different temperature conditions. The first instar crabs (C1) were raised from three broods (nos. 1-3) and reared until molting to the second to fifth instar crabs (C2-C5). Curves were drawn using the coefficient estimates shown in Tab. 2. Significant differences were not found among broods at all instar crabs.

Figure 2.
Survival rates of Scylla serrata juveniles under different temperature conditions. The first instar crabs (C1) were raised from three broods (nos. 1-3) and reared until molting to the second to fifth instar crabs (C2-C5). Curves were drawn using the coefficient estimates shown in Tab. 2. Significant differences were not found among broods at all instar crabs.

Intermolt period

Model 1 was selected as the best for describing the relationship between temperature and the intermolt period at C1-C3 of S. paramamosain and C1-C2 of S. serrata and model 2 for other instar crabs. However, the temperature did not significantly affect the intermolt period at C4 of S. serrata (Tab. 3). The intermolt period decreased exponentially (model 1) or linearly (model 2) with increasing temperatures (Figs. 3, 4). Inter-brood variability was evident in the intermolt periods of the instar crabs, S. paramamosain (C1-C2) and S. serrata (C2-C3). However, the trends of temperature effects on the intermolt period were similar among broods in both species (Figs. 3, 4).

Table 3.
Coefficient estimates with standard errors (SE) for the explanatory variables in the generalized linear model with a Poisson distribution to evaluate the intermolt periods (number of days) of respective instar crabs (response variable) under different temperature (T) and brood (B, nos. 1-3) conditions (explanatory variables) in two mud crab species Scylla paramamosain and S. serrata. Two models were applied: model 1, y ~ T + T2 + B and model 2, y ~ T + B. The model with a lower Akaike information criterion (AIC) value was selected and shown to be the best for each instar in each species. See Appendix, Tabs APPENDIX Table A1. Coefficient estimates with standard errors (SE) for the explanatory variables in the generalized linear model with a Poisson distribution to evaluate the intermolt periods (number of days) of respective instar crabs (response variable) under different temperature (T) and brood (B, nos. 1-3) conditions (explanatory variables) in Scylla paramamosain. Two models were applied: model 1, y ~ T + T2 + B and model 2, y ~ T + B. The Akaike information criterion (AIC) was calculated for each model to select the best model with a lower AIC value. The bold AIC value was a lower between those of models 1 and 2. The coefficient estimate for brood was the output for brood nos. 2 and 3, representing changes in the response variable relative to the baseline category (brood no. 1). Crabs from brood no. 3 were cultured until molting to C4. Model 1 Model 2 Instar N Coefficient Estimate SE z value P Estimate SE z value P C1 164 Intercept 11.7114 0.4980 23.516 < 0.0001 6.4983 0.1154 56.318 < 0.0001 T -0.6955 0.0480 -14.483 < 0.0001 -0.1819 0.0057 -32.181 < 0.0001 T2 0.0120 0.0011 10.876 < 0.0001 B-2 -0.0291 0.0502 -0.580 0.5617 -0.0333 0.0502 -0.664 0.5070 B-3 -0.2209 0.0671 -3.294 0.0010 -0.3430 0.0651 -5.265 < 0.0001 (AIC) 718.7 828.3 C2 144 Intercept 14.1412 1.2720 11.118 < 0.0001 5.5099 0.1808 30.478 < 0.0001 T -0.8699 0.1077 -8.080 < 0.0001 -0.1331 -0.0077 17.286 < 0.0001 T2 0.0154 0.0022 6.885 < 0.0001 B-2 -0.0370 0.0622 -0.596 0.5514 -0.0363 0.0621 -0.584 0.5590 B-3 -0.1511 0.0641 -2.359 0.0183 -0.0994 0.0636 -1.563 0.1180 (AIC) 678.1 722.8 C3 101 Intercept 14.1041 2.5929 5.439 < 0.0001 3.9478 0.2710 14.568 < 0.0001 T -0.8541 0.2028 -4.212 < 0.0001 -0.0570 0.0108 -5.286 < 0.0001 T2 0.0154 0.0039 3.938 < 0.0001 B-2 -0.0670 0.0671 -0.999 0.3180 -0.0675 0.0671 -1.006 0.3140 B-3 -0.0636 0.0775 -0.821 0.4120 -0.0627 0.0771 -0.813 0.4160 (AIC) 533.9 547.3 C4 43 Intercept -2.2059 12.9929 -0.170 0.8652 5.0630 0.6360 7.961 < 0.0001 T 0.4506 0.9608 0.469 0.6391 -0.0874 0.0246 -3.554 0.0004 T2 -0.0099 0.0177 -0.560 0.5754 B-2 -0.1300 0.0779 -1.669 0.0951 -0.1258 0.0775 -1.623 0.1047 (AIC) 248.0 246.4 C1-4, first to fourth instar crabs; N, number of crabs Table A2. Coefficient estimates with standard errors (SE) for the explanatory variables in the generalized linear model with a Poisson distribution to evaluate the intermolt periods (number of days) of respective instar crabs (response variable) under different temperature (T) and brood (B, nos. 1-3) conditions (explanatory variables) in Scylla serrata. Two models were applied: model 1, y ~ T + T2 + B and model 2, y ~ T + B. The Akaike information criterion (AIC) was calculated for each model to select the best model with a lower AIC value. The bold AIC value was a lower between those of models 1 and 2. The coefficient estimate for brood was the output for brood nos. 2 and 3, representing changes in the response variable relative to the baseline category (brood no. 1). Model 1 Model 2 Instar N Coefficient Estimate SE z value P Estimate SE z value P C1 158 Intercept 11.1156 1.4312 7.766 < 0.0001 5.2113 0.1992 26.167 < 0.0001 T -0.6403 0.1213 -5.279 < 0.0001 -0.1362 0.0085 -16.064 < 0.0001 T2 0.0105 0.0025 4.176 < 0.0001 B-2 0.1235 0.0670 1.843 0.0653 0.1096 0.0668 1.639 0.1010 B-3 -0.0324 0.0749 -0.433 0.6647 -0.0109 0.0746 -0.146 0.8840 (AIC) 618.4 633.6 C2 156 Intercept 9.7669 1.3495 7.237 < 0.0001 5.4282 0.1869 29.046 < 0.0001 T -0.5087 0.1144 -4.449 < 0.0001 -0.1383 0.0080 -17.353 < 0.0001 T2 0.0077 0.0024 3.252 0.0012 B-2 0.1355 0.0620 2.185 0.0289 0.1241 0.0619 2.006 0.0448 B-3 -0.1056 0.0718 -1.472 0.1411 -0.0940 0.0717 -1.311 0.1898 (AIC) 641.7 650.1 C3 120 Intercept 8.8986 3.2271 2.757 0.0058 4.4759 0.3065 14.603 < 0.0001 T -0.4356 0.2500 -1.742 0.0814 -0.0918 0.0117 -7.862 < 0.0001 T2 0.0066 0.0048 1.377 0.1684 B-2 0.0896 0.0734 1.221 0.2220 0.1033 0.0725 1.425 0.1542 B-3 -0.1746 0.0872 -2.002 0.0453 -0.1475 0.0849 -1.738 0.0823 (AIC) 500.4 500.3 C4 68 Intercept 14.3761 21.2851 0.675 0.4990 2.7240 0.6702 4.064 < 0.0001 T -0.8475 1.5166 -0.559 0.5760 -0.0169 0.0235 -0.719 0.4720 T2 0.0148 0.0269 0.548 0.5840 B-2 0.1105 0.1177 0.939 0.3480 0.0718 0.0934 0.769 0.4420 B-3 -0.1584 0.1441 -1.099 0.2720 -0.1008 0.0988 -1.019 0.3080 (AIC) 296.8 295.1 C1-4, first to fourth instar crabs; N, number of crabs Table A3. Coefficient estimates with standard errors (SE) for the explanatory variables in the general linear model to evaluate the carapace widths of respective instar crabs (response variable) under different temperature (T) and brood (B, nos. 1-3) conditions (explanatory variables) in Scylla paramamosain. Two models were applied: model 1, y ~ T + T2 + B and model 2, y ~ T + B. The Akaike information criterion (AIC) was calculated for each model to select the best model with a lower AIC value. The bold AIC value was a lower between those of models 1 and 2. The coefficient estimate for brood was the output for brood nos. 2 and 3, representing changes in the response variable relative to the baseline category (brood no. 1). Crabs from brood no. 3 were cultured until molting to C4. Model 1 Model 2 Instar N Coefficient Estimate SE t value P Estimate SE t value P C1 170 Intercept 3.4940 0.2885 12.109 < 0.0001 3.4829 0.0627 55.539 < 0.0001 T -0.0005 0.0256 -0.019 0.9850 0.0005 0.0026 0.186 0.8520 T2 0.00002 0.0006 0.038 0.9690 B-2 0.0465 0.0283 1.643 0.1020 0.0465 0.0282 1.649 0.1010 B-3 0.0435 0.0300 1.453 0.1480 0.0435 0.0298 1.458 0.1470 (AIC) -144.7 -146.6 C2 164 Intercept -0.1561 0.4767 -0.327 0.7438 3.6727 0.1227 29.932 < 0.0001 T 0.3871 0.0419 9.233 < 0.0001 0.0440 0.0050 8.708 < 0.0001 T2 -0.0074 0.0009 -8.227 < 0.0001 B-2 0.0676 0.0450 1.505 0.1344 0.0677 0.0535 1.265 0.2079 B-3 -0.1491 0.0473 -3.152 0.0019 -0.1336 0.0563 -2.375 0.0187 (AIC) 5.7 61.8 C3 144 Intercept -6.9159 1.6019 -4.317 < 0.0001 4.9676 0.2597 19.130 < 0.0001 T 1.0327 0.1321 7.821 < 0.0001 0.0459 0.0103 4.458 < 0.0001 T2 -0.0201 0.0027 -7.489 < 0.0001 B-2 0.0969 0.0798 1.215 0.2260 0.1001 0.0941 1.063 0.2896 B-3 -0.1036 0.0814 -1.273 0.2050 -0.1900 0.0951 -1.997 0.0477 (AIC) 146.3 193.1 C4 101 Intercept -12.1186 5.6778 -2.134 0.0354 7.2792 0.6078 11.977 < 0.0001 T 1.5130 0.4405 3.435 0.0009 0.0022 0.0238 0.092 0.9269 T2 -0.0291 0.0085 -3.434 0.0009 B-2 0.4286 0.1462 2.932 0.0042 0.4302 0.1541 2.792 0.0063 B-3 0.1465 0.1639 0.894 0.3735 0.1350 0.1728 0.781 0.4366 (AIC) 199.6 209.3 C5 43 Intercept 62.7017 54.7034 1.146 0.2590 11.1068 2.3906 4.646 < 0.0001 T -3.8829 4.0361 -0.962 0.3420 -0.0735 0.0914 -0.804 0.4260 T2 0.0698 0.0740 0.944 0.3510 B-2 0.3303 0.3262 1.013 0.3170 0.2996 0.3241 0.924 0.3610 (AIC) 133.1 132.0 C1-5, first to fifth instar crabs; N, number of crabs Table A4. Coefficient estimates with standard errors (SE) for the explanatory variables in the general linear model to evaluate the carapace widths of respective instar crabs (response variable) under different temperature (T) and brood (B, nos. 1-3) conditions (explanatory variables) in Scylla serrata. Two models were applied: model 1, y ~ T + T2 + B and model 2, y ~ T + B. The Akaike information criterion (AIC) was calculated for each model to select the best model with a lower AIC value. The bold AIC value was a lower between those of models 1 and 2. The coefficient estimate for brood was the output for brood nos. 2 and 3, representing changes in the response variable relative to the baseline category (brood no. 1). Model 1 Model 2 Instar N Coefficient Estimate SE t value P Estimate SE t value P C1 170 Intercept 3.7390 0.1799 20.787 < 0.0001 3.7647 0.0373 100.840 < 0.0001 T 0.0004 0.0154 0.025 0.9800 -0.0018 0.0015 -1.240 0.2170 T2 0.0000 0.0003 -0.144 0.8850 B-2 -0.1726 0.0145 -11.870 < 0.0001 -0.1730 0.0143 -12.122 < 0.0001 B-3 -0.1066 0.0159 -6.690 < 0.0001 -0.1068 0.0159 -6.737 < 0.0001 (AIC) -368.6 -370.6 C2 158 Intercept 1.0344 0.7065 1.464 0.1450 4.6559 0.1052 44.276 < 0.0001 T 0.3312 0.0581 5.698 < 0.0001 0.0310 0.0042 7.465 < 0.0001 T2 -0.0061 0.0012 -5.175 < 0.0001 B-2 -0.5110 0.0334 -15.286 < 0.0001 -0.5012 0.0361 -13.900 < 0.0001 B-3 -0.3753 0.0365 -10.272 < 0.0001 -0.3960 0.0392 -10.092 < 0.0001 (AIC) -86.2 -62.7 C3 156 Intercept -2.6792 1.1255 -2.380 0.0185 5.1602 0.1782 28.962 < 0.0001 T 0.7298 0.0925 7.893 < 0.0001 0.0810 0.0071 11.492 < 0.0001 T2 -0.0131 0.0019 -7.032 < 0.0001 B-2 -0.8105 0.0530 -15.301 < 0.0001 -0.7858 0.0607 -12.945 < 0.0001 B-3 -0.6027 0.0580 -10.399 < 0.0001 -0.6422 0.0662 -9.695 < 0.0001 (AIC) 56.6 98.8 C4 120 Intercept 5.7355 3.4703 1.653 0.1010 8.0636 0.3502 23.028 < 0.0001 T 0.2320 0.2645 0.877 0.3820 0.0539 0.0131 4.123 0.0001 T2 -0.0034 0.0050 -0.674 0.5020 B-2 -1.4067 0.0768 -18.305 < 0.0001 -1.4096 0.0765 -18.417 < 0.0001 B-3 -0.5093 0.0976 -5.219 < 0.0001 -0.5169 0.0967 -5.345 < 0.0001 (AIC) 93.9 92.3 C5 68 Intercept 42.1151 30.0139 1.403 0.1650 10.3924 0.9338 11.130 < 0.0001 T -2.2180 2.1393 -1.037 0.3040 0.0439 0.0327 1.343 0.1840 T2 0.0402 0.0380 1.057 0.2940 B-2 -1.9092 0.1691 -11.293 < 0.0001 -2.0146 0.1367 -14.740 < 0.0001 B-3 -1.1011 0.2008 -5.484 < 0.0001 -0.9462 0.1375 -6.881 < 0.0001 (AIC) 96.0 95.2 C1-5, first to fifth instar crabs; N, number of crabs . A1 and A2, for the coefficient estimates and AIC values of all models for S. paramamosain and S. serrata, respectively. The coefficient estimate for brood was the output for brood nos. 2 and 3, representing changes in the response variable relative to the baseline category (brood no. 1). Crabs from brood no. 3 of S. paramamosain were cultured until molting to C4.

Figure 3.
Intermolt periods of Scylla paramamosain juveniles at respective instars under different temperature conditions. The first instar crabs (C1) were raised from three broods (nos. 1-3) and reared until molting to the second to fifth instar crabs (C2-C5). Curves were drawn using the coefficient estimates shown in Tab. 3. Differences in the intermolt period between broods at each instar (P < 0.05) are indicated by different lowercase letters in the tables following the brood numbers.

Figure 4.
Intermolt periods of Scylla serrata juveniles at respective instars under different temperature conditions. The first instar crabs (C1) were raised from three broods (nos. 1-3) and reared until molting to the second to fifth instar crabs (C2-C5). Curves were drawn using the coefficient estimates shown in Tab. 3. Differences in the intermolt period between broods at each instar (P < 0.05) are indicated by different lowercase letters in the tables following the brood numbers.

Growth

The C1 juveniles could be assigned unbiasedly to respective test temperature groups because the carapace width of C1 juveniles did not differ significantly among test temperatures in both species (Tab. 4 and Figs. 5, 6). When the carapace width of C1 juveniles was compared among broods, it was significantly different among broods in S. serrata but not in S. paramamosain (Tab. 4 and Figs. 5, 6). Model 1 was selected as the best for describing the relationship between temperature and carapace width at C2-C4 of S. paramamosain and C2-C3 of S. serrata, and model 2 for other instar crabs. However, the temperature did not significantly affect the carapace width at C5 of both species (Tab. 4). The relationship between temperature and carapace width was expressed by an upward convex curve by model 1 in both species (Figs. 5, 6), and the carapace width tended to reach peaks at around 26 °C in S. paramamosain (Fig. 5). However, it did not largely decrease even at higher temperatures (> 30 °C) in S. serrata (Fig. 6). Inter-brood variability was evident in carapace width at C2-C4 of S. paramamosain and all instar crabs of S. serrata. However, the trends of temperature effects on juvenile growth were similar among broods in both species (Figs. 5, 6).

Table 4.
Coefficient estimates with standard errors (SE) for the explanatory variables in the general linear model to evaluate the carapace widths of respective instar crabs (response variable) under different temperature (T) and brood (B, nos. 1-3) conditions (explanatory variables) in two mud crab species Scylla paramamosain and S. serrata. Two models were applied: model 1, y ~ T + T2 + B and model 2, y ~ T + B. The model with a lower Akaike information criterion (AIC) value was selected and shown to be the best for each instar in each species. See Appendix, Tabs. APPENDIX Table A1. Coefficient estimates with standard errors (SE) for the explanatory variables in the generalized linear model with a Poisson distribution to evaluate the intermolt periods (number of days) of respective instar crabs (response variable) under different temperature (T) and brood (B, nos. 1-3) conditions (explanatory variables) in Scylla paramamosain. Two models were applied: model 1, y ~ T + T2 + B and model 2, y ~ T + B. The Akaike information criterion (AIC) was calculated for each model to select the best model with a lower AIC value. The bold AIC value was a lower between those of models 1 and 2. The coefficient estimate for brood was the output for brood nos. 2 and 3, representing changes in the response variable relative to the baseline category (brood no. 1). Crabs from brood no. 3 were cultured until molting to C4. Model 1 Model 2 Instar N Coefficient Estimate SE z value P Estimate SE z value P C1 164 Intercept 11.7114 0.4980 23.516 < 0.0001 6.4983 0.1154 56.318 < 0.0001 T -0.6955 0.0480 -14.483 < 0.0001 -0.1819 0.0057 -32.181 < 0.0001 T2 0.0120 0.0011 10.876 < 0.0001 B-2 -0.0291 0.0502 -0.580 0.5617 -0.0333 0.0502 -0.664 0.5070 B-3 -0.2209 0.0671 -3.294 0.0010 -0.3430 0.0651 -5.265 < 0.0001 (AIC) 718.7 828.3 C2 144 Intercept 14.1412 1.2720 11.118 < 0.0001 5.5099 0.1808 30.478 < 0.0001 T -0.8699 0.1077 -8.080 < 0.0001 -0.1331 -0.0077 17.286 < 0.0001 T2 0.0154 0.0022 6.885 < 0.0001 B-2 -0.0370 0.0622 -0.596 0.5514 -0.0363 0.0621 -0.584 0.5590 B-3 -0.1511 0.0641 -2.359 0.0183 -0.0994 0.0636 -1.563 0.1180 (AIC) 678.1 722.8 C3 101 Intercept 14.1041 2.5929 5.439 < 0.0001 3.9478 0.2710 14.568 < 0.0001 T -0.8541 0.2028 -4.212 < 0.0001 -0.0570 0.0108 -5.286 < 0.0001 T2 0.0154 0.0039 3.938 < 0.0001 B-2 -0.0670 0.0671 -0.999 0.3180 -0.0675 0.0671 -1.006 0.3140 B-3 -0.0636 0.0775 -0.821 0.4120 -0.0627 0.0771 -0.813 0.4160 (AIC) 533.9 547.3 C4 43 Intercept -2.2059 12.9929 -0.170 0.8652 5.0630 0.6360 7.961 < 0.0001 T 0.4506 0.9608 0.469 0.6391 -0.0874 0.0246 -3.554 0.0004 T2 -0.0099 0.0177 -0.560 0.5754 B-2 -0.1300 0.0779 -1.669 0.0951 -0.1258 0.0775 -1.623 0.1047 (AIC) 248.0 246.4 C1-4, first to fourth instar crabs; N, number of crabs Table A2. Coefficient estimates with standard errors (SE) for the explanatory variables in the generalized linear model with a Poisson distribution to evaluate the intermolt periods (number of days) of respective instar crabs (response variable) under different temperature (T) and brood (B, nos. 1-3) conditions (explanatory variables) in Scylla serrata. Two models were applied: model 1, y ~ T + T2 + B and model 2, y ~ T + B. The Akaike information criterion (AIC) was calculated for each model to select the best model with a lower AIC value. The bold AIC value was a lower between those of models 1 and 2. The coefficient estimate for brood was the output for brood nos. 2 and 3, representing changes in the response variable relative to the baseline category (brood no. 1). Model 1 Model 2 Instar N Coefficient Estimate SE z value P Estimate SE z value P C1 158 Intercept 11.1156 1.4312 7.766 < 0.0001 5.2113 0.1992 26.167 < 0.0001 T -0.6403 0.1213 -5.279 < 0.0001 -0.1362 0.0085 -16.064 < 0.0001 T2 0.0105 0.0025 4.176 < 0.0001 B-2 0.1235 0.0670 1.843 0.0653 0.1096 0.0668 1.639 0.1010 B-3 -0.0324 0.0749 -0.433 0.6647 -0.0109 0.0746 -0.146 0.8840 (AIC) 618.4 633.6 C2 156 Intercept 9.7669 1.3495 7.237 < 0.0001 5.4282 0.1869 29.046 < 0.0001 T -0.5087 0.1144 -4.449 < 0.0001 -0.1383 0.0080 -17.353 < 0.0001 T2 0.0077 0.0024 3.252 0.0012 B-2 0.1355 0.0620 2.185 0.0289 0.1241 0.0619 2.006 0.0448 B-3 -0.1056 0.0718 -1.472 0.1411 -0.0940 0.0717 -1.311 0.1898 (AIC) 641.7 650.1 C3 120 Intercept 8.8986 3.2271 2.757 0.0058 4.4759 0.3065 14.603 < 0.0001 T -0.4356 0.2500 -1.742 0.0814 -0.0918 0.0117 -7.862 < 0.0001 T2 0.0066 0.0048 1.377 0.1684 B-2 0.0896 0.0734 1.221 0.2220 0.1033 0.0725 1.425 0.1542 B-3 -0.1746 0.0872 -2.002 0.0453 -0.1475 0.0849 -1.738 0.0823 (AIC) 500.4 500.3 C4 68 Intercept 14.3761 21.2851 0.675 0.4990 2.7240 0.6702 4.064 < 0.0001 T -0.8475 1.5166 -0.559 0.5760 -0.0169 0.0235 -0.719 0.4720 T2 0.0148 0.0269 0.548 0.5840 B-2 0.1105 0.1177 0.939 0.3480 0.0718 0.0934 0.769 0.4420 B-3 -0.1584 0.1441 -1.099 0.2720 -0.1008 0.0988 -1.019 0.3080 (AIC) 296.8 295.1 C1-4, first to fourth instar crabs; N, number of crabs Table A3. Coefficient estimates with standard errors (SE) for the explanatory variables in the general linear model to evaluate the carapace widths of respective instar crabs (response variable) under different temperature (T) and brood (B, nos. 1-3) conditions (explanatory variables) in Scylla paramamosain. Two models were applied: model 1, y ~ T + T2 + B and model 2, y ~ T + B. The Akaike information criterion (AIC) was calculated for each model to select the best model with a lower AIC value. The bold AIC value was a lower between those of models 1 and 2. The coefficient estimate for brood was the output for brood nos. 2 and 3, representing changes in the response variable relative to the baseline category (brood no. 1). Crabs from brood no. 3 were cultured until molting to C4. Model 1 Model 2 Instar N Coefficient Estimate SE t value P Estimate SE t value P C1 170 Intercept 3.4940 0.2885 12.109 < 0.0001 3.4829 0.0627 55.539 < 0.0001 T -0.0005 0.0256 -0.019 0.9850 0.0005 0.0026 0.186 0.8520 T2 0.00002 0.0006 0.038 0.9690 B-2 0.0465 0.0283 1.643 0.1020 0.0465 0.0282 1.649 0.1010 B-3 0.0435 0.0300 1.453 0.1480 0.0435 0.0298 1.458 0.1470 (AIC) -144.7 -146.6 C2 164 Intercept -0.1561 0.4767 -0.327 0.7438 3.6727 0.1227 29.932 < 0.0001 T 0.3871 0.0419 9.233 < 0.0001 0.0440 0.0050 8.708 < 0.0001 T2 -0.0074 0.0009 -8.227 < 0.0001 B-2 0.0676 0.0450 1.505 0.1344 0.0677 0.0535 1.265 0.2079 B-3 -0.1491 0.0473 -3.152 0.0019 -0.1336 0.0563 -2.375 0.0187 (AIC) 5.7 61.8 C3 144 Intercept -6.9159 1.6019 -4.317 < 0.0001 4.9676 0.2597 19.130 < 0.0001 T 1.0327 0.1321 7.821 < 0.0001 0.0459 0.0103 4.458 < 0.0001 T2 -0.0201 0.0027 -7.489 < 0.0001 B-2 0.0969 0.0798 1.215 0.2260 0.1001 0.0941 1.063 0.2896 B-3 -0.1036 0.0814 -1.273 0.2050 -0.1900 0.0951 -1.997 0.0477 (AIC) 146.3 193.1 C4 101 Intercept -12.1186 5.6778 -2.134 0.0354 7.2792 0.6078 11.977 < 0.0001 T 1.5130 0.4405 3.435 0.0009 0.0022 0.0238 0.092 0.9269 T2 -0.0291 0.0085 -3.434 0.0009 B-2 0.4286 0.1462 2.932 0.0042 0.4302 0.1541 2.792 0.0063 B-3 0.1465 0.1639 0.894 0.3735 0.1350 0.1728 0.781 0.4366 (AIC) 199.6 209.3 C5 43 Intercept 62.7017 54.7034 1.146 0.2590 11.1068 2.3906 4.646 < 0.0001 T -3.8829 4.0361 -0.962 0.3420 -0.0735 0.0914 -0.804 0.4260 T2 0.0698 0.0740 0.944 0.3510 B-2 0.3303 0.3262 1.013 0.3170 0.2996 0.3241 0.924 0.3610 (AIC) 133.1 132.0 C1-5, first to fifth instar crabs; N, number of crabs Table A4. Coefficient estimates with standard errors (SE) for the explanatory variables in the general linear model to evaluate the carapace widths of respective instar crabs (response variable) under different temperature (T) and brood (B, nos. 1-3) conditions (explanatory variables) in Scylla serrata. Two models were applied: model 1, y ~ T + T2 + B and model 2, y ~ T + B. The Akaike information criterion (AIC) was calculated for each model to select the best model with a lower AIC value. The bold AIC value was a lower between those of models 1 and 2. The coefficient estimate for brood was the output for brood nos. 2 and 3, representing changes in the response variable relative to the baseline category (brood no. 1). Model 1 Model 2 Instar N Coefficient Estimate SE t value P Estimate SE t value P C1 170 Intercept 3.7390 0.1799 20.787 < 0.0001 3.7647 0.0373 100.840 < 0.0001 T 0.0004 0.0154 0.025 0.9800 -0.0018 0.0015 -1.240 0.2170 T2 0.0000 0.0003 -0.144 0.8850 B-2 -0.1726 0.0145 -11.870 < 0.0001 -0.1730 0.0143 -12.122 < 0.0001 B-3 -0.1066 0.0159 -6.690 < 0.0001 -0.1068 0.0159 -6.737 < 0.0001 (AIC) -368.6 -370.6 C2 158 Intercept 1.0344 0.7065 1.464 0.1450 4.6559 0.1052 44.276 < 0.0001 T 0.3312 0.0581 5.698 < 0.0001 0.0310 0.0042 7.465 < 0.0001 T2 -0.0061 0.0012 -5.175 < 0.0001 B-2 -0.5110 0.0334 -15.286 < 0.0001 -0.5012 0.0361 -13.900 < 0.0001 B-3 -0.3753 0.0365 -10.272 < 0.0001 -0.3960 0.0392 -10.092 < 0.0001 (AIC) -86.2 -62.7 C3 156 Intercept -2.6792 1.1255 -2.380 0.0185 5.1602 0.1782 28.962 < 0.0001 T 0.7298 0.0925 7.893 < 0.0001 0.0810 0.0071 11.492 < 0.0001 T2 -0.0131 0.0019 -7.032 < 0.0001 B-2 -0.8105 0.0530 -15.301 < 0.0001 -0.7858 0.0607 -12.945 < 0.0001 B-3 -0.6027 0.0580 -10.399 < 0.0001 -0.6422 0.0662 -9.695 < 0.0001 (AIC) 56.6 98.8 C4 120 Intercept 5.7355 3.4703 1.653 0.1010 8.0636 0.3502 23.028 < 0.0001 T 0.2320 0.2645 0.877 0.3820 0.0539 0.0131 4.123 0.0001 T2 -0.0034 0.0050 -0.674 0.5020 B-2 -1.4067 0.0768 -18.305 < 0.0001 -1.4096 0.0765 -18.417 < 0.0001 B-3 -0.5093 0.0976 -5.219 < 0.0001 -0.5169 0.0967 -5.345 < 0.0001 (AIC) 93.9 92.3 C5 68 Intercept 42.1151 30.0139 1.403 0.1650 10.3924 0.9338 11.130 < 0.0001 T -2.2180 2.1393 -1.037 0.3040 0.0439 0.0327 1.343 0.1840 T2 0.0402 0.0380 1.057 0.2940 B-2 -1.9092 0.1691 -11.293 < 0.0001 -2.0146 0.1367 -14.740 < 0.0001 B-3 -1.1011 0.2008 -5.484 < 0.0001 -0.9462 0.1375 -6.881 < 0.0001 (AIC) 96.0 95.2 C1-5, first to fifth instar crabs; N, number of crabs A3 and A4, for the coefficient estimates and AIC values of all models for S. paramamosain and S. serrata, respectively. The coefficient estimate for brood was the output for brood nos. 2 and 3, representing changes in the response variable relative to the baseline category (brood no. 1). Crabs from brood no. 3 of S. paramamosain were cultured until molting to C4.

Figure 5.
Carapace widths of Scylla paramamosain juveniles at respective instars under different temperature conditions. The first instar crabs (C1) were raised from three broods (nos. 1-3) and reared until molting to the second to fifth instar crabs (C2-C5). Curves were drawn using the coefficient estimates shown in Tab. 4. Differences in carapace width between broods at each instar (P < 0.05) are indicated by different lowercase letters in the tables following the brood numbers.

Figure 6.
Carapace widths of Scylla serrata juveniles at respective instars under different temperature conditions. The first instar crabs (C1) were raised from three broods (nos. 1-3) and reared until molting to the second to fifth instar crabs (C2-C5). Curves were drawn using the coefficient estimates shown in Tab. 4. Differences in carapace width between broods at each instar (P < 0.05) are indicated by different lowercase letters in the tables following the brood numbers.

Low temperature adaptation

The analyses of the heat summation theory equation estimated the LTT (95 % CI) for the development of C1 juveniles as 13.65 °C (13.51-13.77 °C) for S. paramamosain and 15.44 °C (15.12-15.72 °C) for S. serrata (Tab. 5).

Table 5.
Coefficient estimates with standard errors (SE) and 95 % confidence intervals (CI) of the heat summation theory equation [D = a/(T - b)] describing the relationship between mean temperature (T) and the intermolt period (D, number of days) of the first instar crab in the two mud crab species Scylla paramamosain and S. serrata.

DISCUSSION

The present study demonstrated interspecific variation in the temperature adaptation of two mud crab species: S. paramamosain and S. serrata. The C1 juveniles were able to molt to C2 with 80 % survival rates at 15.4 °C, and survival rates were maintained above 90 % at all test temperatures (19.0-30.3 °C) until C3 in S. paramamosain (Fig. 1). On the other hand, C1 juveniles were not able to survive to C2 at 15.2 °C, and survival rates decreased to 70 % until C3 at 19.1 °C in S. serrata (Fig. 2). Survival rates of S. paramamosain juveniles declined to 30-40 % until C5 at 29.8 °C (Fig. 1), whereas all S. serrata juveniles survived to C5 even at 30.5 °C (Fig. 2). Additionally, the carapace width of juveniles increased with increasing temperature but became smaller at 27.6-30.2 °C in S. paramamosain (Fig. 5), whereas it appeared to reach a plateau at > 24 °C in S. serrata (Fig. 6). Thus, our results highlight that juveniles of S. paramamosain and S. serrata adapt to lower and higher temperature conditions, respectively.

The intermolt period of juveniles exponentially or linearly decreased with increasing temperature (Figs. 3, 4), a phenomenon that has been observed in many decapod crustacean species (Anger, 2001Anger, K., 2001. The Biology of Decapod Crustacean Larvae. Crustacean issues, Vol. 14. Lisse, A.A. Balkema, 419p.). Based on the data set of temperature and the intermolt period at C1, the lower threshold temperature (LTT) (95 % CI) for juvenile development was estimated as 13.65 °C (13.51-13.77 °C) for S. paramamosain and 15.44 °C (15.12-15.72 °C) for S. serrata (Tab. 5). The LTT for egg development has been estimated to be 13.98 °C for S. paramamosain (Hamasaki, 2002Hamasaki, K. 2002. Effects of temperature on the survival, spawning and egg incubation period of overwintering mud crab broodstock, Scylla paramamosain (Brachyura: Portunidae). Aquaculture Science, 50: 301-308.) and 15.70 °C for S. serrata (Hamasaki, 2003). The LTT for zoeal development to the megalopal stage has also been estimated as 15.08 °C for S. serrata (Hamasaki, 2003). Consequently, LTT estimates for egg and zoeal developments matched those for juvenile development in S. paramamosain and S. serrata, suggesting that the low-temperature adaptations may be similar regardless of the life history stage in these mud crab species.

The influence of temperature on the survival and development of juveniles of S. paramamosain and S. serrata has been studied as a basis for developing nursery culture techniques in aquaculture. Gong et al. (2015Gong, J.; Yu, K.; Shu, L.; Ye, H.; Li, S. and Zeng, C. 2015. Evaluating the effects of temperature, salinity, starvation and autotomy on molting success, molting interval and expression of ecdysone receptor in early juvenile mud crabs, Scylla paramamosain. Journal of Experimental Marine Biology and Ecology, 464: 11-17.) reared C1 juveniles of S. paramamosain from China until molting to C2 at 14, 20, 26, 32, and 39 °C and reported that juveniles could molt at 20, 26, and 32 °C with survival rates of 87, 95, and 91 %, respectively. Syafaat et al. (2021Syafaat, M.N.; Azra, M.N.; Mohamad, F.; Che-Ismail, C.Z.; Amin-Safwan, A.; Asmat-Ullah, M.; Syahnon, M.; Ghazali, A.; Abol-Munafi, A.B.; Ma, H. and Ikhwanuddin, M. 2021. Thermal tolerance and physiological changes in mud crab, Scylla paramamosain crablet at different water temperatures. Animals, 11: 1146. doi:10.3390/ani11041146.
https://doi.org/doi:10.3390/ani11041146...
) reared C1 juveniles of S. paramamosain from Malaysia at constant temperatures of 24, 28, and 32 °C and ambient temperatures of 27-30 °C for 45 days and reported respective survival rates as 87, 97, 80, and 93 %. They also reported that the growth rate was highest at 28 °C, followed by 32°C and ambient temperature (27-30 °C), and lowest at 24 °C. Syafaat et al. (2021) further evaluated the critical thermal minimum of C1 juveniles of S. paramamosain, which was defined as the temperature when crabs were on their backs and could not recover an upright posture, and they recorded it as 17-18 °C. Thus, the lower temperature (14 °C) at which C1 juveniles of Chinese S. paramamosain by Gong et al. (2015Gong, J.; Yu, K.; Shu, L.; Ye, H.; Li, S. and Zeng, C. 2015. Evaluating the effects of temperature, salinity, starvation and autotomy on molting success, molting interval and expression of ecdysone receptor in early juvenile mud crabs, Scylla paramamosain. Journal of Experimental Marine Biology and Ecology, 464: 11-17.) could not molt coincided with the LTT (13.65 °C) of Japanese S. paramamosain in our experiments. However, Malaysian S. paramamosain by Syafaat et al. (2021Syafaat, M.N.; Azra, M.N.; Mohamad, F.; Che-Ismail, C.Z.; Amin-Safwan, A.; Asmat-Ullah, M.; Syahnon, M.; Ghazali, A.; Abol-Munafi, A.B.; Ma, H. and Ikhwanuddin, M. 2021. Thermal tolerance and physiological changes in mud crab, Scylla paramamosain crablet at different water temperatures. Animals, 11: 1146. doi:10.3390/ani11041146.
https://doi.org/doi:10.3390/ani11041146...
) appeared to exhibit a higher temperature adaptation compared with Japanese S. paramamosain probably because of the higher habitat temperatures in tropical Malaysia.

As for S. serrata, Ruscoe et al. (2004Ruscoe, I.M.; Shelley, C.C. and Williams, G.R. 2004. The combined effects of temperature and salinity on growth and survival of juvenile mud crabs (Scylla serrata Forskål). Aquaculture, 238: 239-247.) reared C2 juveniles raised in Australia at 20, 25, 30, and 35 °C for 18 days. They reported a lower survival rate (36 %) at 20 °C than other temperatures (94-98 %) as well as minimum and maximum growth rates at 20 and 30 °C, respectively. Baylon (2010Baylon, J.C. 2010. Effects of salinity and temperature on survival and development of larvae and juveniles of the mud crab, Scylla serrata (Crustacea: Decapoda: Portunidae). Journal of the World Aquaculture Society, 41: 858-873.) reared C1 juveniles raised in the Philippines until molting to C2 at 20, 26, and 32 °C and recorded slightly lower survival rates (~83 %) at 20 °C compared with other temperatures (> 90 %: survival rates derived from figure 1 by Baylon (2010Baylon, J.C. 2010. Effects of salinity and temperature on survival and development of larvae and juveniles of the mud crab, Scylla serrata (Crustacea: Decapoda: Portunidae). Journal of the World Aquaculture Society, 41: 858-873.). Thus, the performance of S. serrata juveniles under different temperatures appeared to be similar between previous and present studies conducted in subtropical or tropical areas, and our results could clarify the lower critical temperature for juvenile development in S. serrata.

Besides temperature, salinity is an important environmental factor affecting the physiological process of decapod crustaceans (Anger, 2001Anger, K., 2001. The Biology of Decapod Crustacean Larvae. Crustacean issues, Vol. 14. Lisse, A.A. Balkema, 419p.). Gong et al. (2015Gong, J.; Yu, K.; Shu, L.; Ye, H.; Li, S. and Zeng, C. 2015. Evaluating the effects of temperature, salinity, starvation and autotomy on molting success, molting interval and expression of ecdysone receptor in early juvenile mud crabs, Scylla paramamosain. Journal of Experimental Marine Biology and Ecology, 464: 11-17.) reported slightly lower survival rates (75 %) of S. paramamosain juveniles from C1 to C2 at 5 ppt compared with those (96-97 %) at 10-40 ppt under 26 °C. Ruscoe et al. (2004Ruscoe, I.M.; Shelley, C.C. and Williams, G.R. 2004. The combined effects of temperature and salinity on growth and survival of juvenile mud crabs (Scylla serrata Forskål). Aquaculture, 238: 239-247.) and Baylon (2010Baylon, J.C. 2010. Effects of salinity and temperature on survival and development of larvae and juveniles of the mud crab, Scylla serrata (Crustacea: Decapoda: Portunidae). Journal of the World Aquaculture Society, 41: 858-873.) conducted juvenile culture experiments for S. serrata under the different salinity and temperature combinations. They reported that juveniles could not survive at 0 ppt but exhibited similar performance at a broad range of salinity (5-45 ppt). Thus, juveniles of S. paramamosain and S. serrata are euryhaline, and the temperature adaptation of these species inferred by the present study may be general in natural environments with a wide range of salinity.

Our results supported the hypothesis that S. paramamosain may adapt better to lower temperature environments than S. serrata, based on the biogeography of these species in Japan. Ogawa et al. (2011Ogawa, C.Y.; Hamasaki, K.; Dan, S. and Kitada, S. 2011. Fishery biology of mud crabs Scylla spp. at Iriomote Island, Japan: species composition, catch, growth and size at sexual maturity. Fisheries Science, 77: 915-927.) examined the species compositions of mud crabs in commercial catch from brackish inlets on Iriomotejima Island (24°20'N 123°45'E), Ryukyu Archipelago, during the period from September 2001 to August 2005. They reported that two species, S. serrata and S. olivacea, were identified in the area, with S. serrata being the dominant species (> 95 % of the catch). Moreover, Ogawa et al. (2012Ogawa, C.Y.; Hamasaki, K.; Dan, S.; Obata, Y. and Kitada, S. 2012. Species composition, reproduction, and body size of mud crabs, Scylla spp., caught in Urado Bay, Japan. Journal of Crustacean Biology, 32: 762-768.) examined the species compositions of mud crabs in commercial catches from Urado Bay (33°31'N 133°33'E) during the period from October 2008 to October 2009. They reported that three mud crab species were identified in the area, with S. paramamosain being the dominant species (74 % of the catch), followed by S. serrata (23 %) and S. olivacea (3 %). In Urado Bay, S. serrata and S. olivacea accounted for only several percent of the total catch during the late 1980s (Sugimoto and Hasegawa, 1989Sugimoto, M. and Hasegawa, Y. 1989. Technical development for the stock enhancement of the important local fishery resources (mud crab). General report in 1988. Susaki, Kochi Prefectural Fisheries Experiment Station, 47p. (In Japanese); 1990Sugimoto, M. and Hasegawa, Y. 1990. Technical development for the stock enhancement of the important local fishery resources (mud crab). General report in 1989. Susaki, Kochi Prefectural Fisheries Experiment Station, 43p. (In Japanese)). The Kuroshio Current plays an important role in transferring the larvae of southern marine organisms from warmer to cooler latitudes in the northwestern Pacific region (Iida et al., 2010Iida, M.; Zenimoto, K.; Watanabe, S.; Kimura, S. and Tsukamoto, K. 2010. Larval transport of the amphidromous goby Sicyopterus japonicus by the Kuroshio Current. Coastal Marine Science, 34: 42-46.; Soeparno et al., 2012Soeparno; Nakamura, Y.; Shibuno, T. and Yamaoka, K. 2012. Relationship between pelagic larval duration and abundance of tropical fishes on temperate coasts of Japan. Journal of Fish Biology, 80: 346-357.; He et al., 2015He, L.; Mukai, T.; Chu, K.H.; Ma, Q. and Zhang, J. 2015. Biogeographical role of the Kuroshio Current in the amphibious mudskipper Periophthalmus modestus indicated by mitochondrial DNA data. Scientific Reports, 5: 15645. doi:10.1038/srep15645.
https://doi.org/10.1038/srep15645...
; Chang et al., 2018Chang, Y.L.K.; Miyazaki, Y.; Miller, M.J. and Tsukamoto, K. 2018. Potential impact of ocean circulation on the declining Japanese eel catches. Scientific Reports, 8: 5496. doi:10.1038/s41598-018-23820-6.
https://doi.org/10.1038/s41598-018-23820...
). Scylla serrata larvae hatched in the Ryukyu Archipelago may disperse to the temperate bays and inlets via the Kuroshio Current, and the survival rate of juveniles settled there might have improved under global warming conditions.

The present study highlighted the temperature adaptation of early juveniles of two mud crab species, S. paramamosain and S. serrata. Further studies will be required to elucidate the temperature adaptation of these species throughout an entire life cycle to understand and predict future changes in the species compositions and the northern limit of their distribution under a global warming scenario.

ACKNOWLEDGEMENTS

We thank Ichi Imura, Tomomi Kagiyama, and Hidemi Kamiya for their help with crab culture. We are grateful to the anonymous reviewers and the editor for their valuable comments and suggestions, which have improved the manuscript.

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APPENDIX

Table A1.
Coefficient estimates with standard errors (SE) for the explanatory variables in the generalized linear model with a Poisson distribution to evaluate the intermolt periods (number of days) of respective instar crabs (response variable) under different temperature (T) and brood (B, nos. 1-3) conditions (explanatory variables) in Scylla paramamosain. Two models were applied: model 1, y ~ T + T2 + B and model 2, y ~ T + B. The Akaike information criterion (AIC) was calculated for each model to select the best model with a lower AIC value. The bold AIC value was a lower between those of models 1 and 2. The coefficient estimate for brood was the output for brood nos. 2 and 3, representing changes in the response variable relative to the baseline category (brood no. 1). Crabs from brood no. 3 were cultured until molting to C4.
Table A2.
Coefficient estimates with standard errors (SE) for the explanatory variables in the generalized linear model with a Poisson distribution to evaluate the intermolt periods (number of days) of respective instar crabs (response variable) under different temperature (T) and brood (B, nos. 1-3) conditions (explanatory variables) in Scylla serrata. Two models were applied: model 1, y ~ T + T2 + B and model 2, y ~ T + B. The Akaike information criterion (AIC) was calculated for each model to select the best model with a lower AIC value. The bold AIC value was a lower between those of models 1 and 2. The coefficient estimate for brood was the output for brood nos. 2 and 3, representing changes in the response variable relative to the baseline category (brood no. 1).
Table A3.
Coefficient estimates with standard errors (SE) for the explanatory variables in the general linear model to evaluate the carapace widths of respective instar crabs (response variable) under different temperature (T) and brood (B, nos. 1-3) conditions (explanatory variables) in Scylla paramamosain. Two models were applied: model 1, y ~ T + T2 + B and model 2, y ~ T + B. The Akaike information criterion (AIC) was calculated for each model to select the best model with a lower AIC value. The bold AIC value was a lower between those of models 1 and 2. The coefficient estimate for brood was the output for brood nos. 2 and 3, representing changes in the response variable relative to the baseline category (brood no. 1). Crabs from brood no. 3 were cultured until molting to C4.
Table A4.
Coefficient estimates with standard errors (SE) for the explanatory variables in the general linear model to evaluate the carapace widths of respective instar crabs (response variable) under different temperature (T) and brood (B, nos. 1-3) conditions (explanatory variables) in Scylla serrata. Two models were applied: model 1, y ~ T + T2 + B and model 2, y ~ T + B. The Akaike information criterion (AIC) was calculated for each model to select the best model with a lower AIC value. The bold AIC value was a lower between those of models 1 and 2. The coefficient estimate for brood was the output for brood nos. 2 and 3, representing changes in the response variable relative to the baseline category (brood no. 1).

Publication Dates

  • Publication in this collection
    29 July 2022
  • Date of issue
    2022

History

  • Received
    29 Sept 2021
  • Accepted
    05 Dec 2021
Sociedade Brasileira de Carcinologia Instituto de Biociências, UNESP, Campus Botucatu, Rua Professor Doutor Antônio Celso Wagner Zanin, 250 , Botucatu, SP, 18618-689 - Botucatu - SP - Brazil
E-mail: editor.nauplius@gmail.com