2007
DOI: 10.1007/s10750-007-0700-z
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Effects of circadian rhythms of fluctuating temperature on growth and biochemical composition of Ulva pertusa

Abstract: The marcoalga Ulva pertusa was cultured under (20 ± 2)°C, (20 ± 4)°C, (20 ± 6)°C, (20 ± 8)°C and (20 ± 10)°C circadian rhythms of fluctuating temperature conditions, and constant temperature of 20°C was used as the control. The growth rate of macroalga at (20 ± 2)°C, (20 ± 4)°C and (20 ± 6)°C were significantly higher than that at constant temperature of 20°C, while growth rate at (20 ± 8)°C and (20 ± 10)°C were significantly lower than that at constant temperature of 20°C. The growth rate of macroalga was a q… Show more

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Cited by 16 publications
(9 citation statements)
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“…That elevated temperature has a positive effect on the carbohydrate content in Ulva spp. is supported by previous studies (Mohsen et al 1973b;Wang et al 2007;He et al 2018). As for irradiance, Mohsen et al (1973a) found that the correlation to carbohydrates is not strictly positive or negative but different for the different carbohydrate components, as was also the case for the monosaccharides in this study.…”
Section: Discussionsupporting
confidence: 91%
See 1 more Smart Citation
“…That elevated temperature has a positive effect on the carbohydrate content in Ulva spp. is supported by previous studies (Mohsen et al 1973b;Wang et al 2007;He et al 2018). As for irradiance, Mohsen et al (1973a) found that the correlation to carbohydrates is not strictly positive or negative but different for the different carbohydrate components, as was also the case for the monosaccharides in this study.…”
Section: Discussionsupporting
confidence: 91%
“…The impact of some abiotic cultivation factors (temperature, illumination, nutrients, and pCO 2 ) on the carbohydrate composition of Ulva spp. has been investigated previously (Mohsen et al 1973a,;1973b;Gómez Pinchetti et al 1998;Wang et al 2007;Kumari et al 2014;Gao et al 2017Gao et al , 2018He et al 2018;Chen et al 2019). However, the total carbohydrate content is sometimes calculated by taking the difference between total weight and other biochemical components, e.g., (Gao et al 2017(Gao et al , 2018, and when carbohydrates are measured directly the resolution is often poor, e.g., (Mohsen et al 1973a(Mohsen et al , 1973bGómez Pinchetti et al 1998;Kumari et al 2014;Chen et al 2019).…”
Section: Introductionmentioning
confidence: 99%
“…During the experiment, the temperature of fresh seawater from sand filter tank was 10–12 °C. To minimize the potential physiological stress caused by temperature fluctuations 6 7 58 , the fresh seawater was heated to 18 °C before use. During the experiment, clams were fed daily with commercial condensed Nannochloropsis sp.…”
Section: Methodsmentioning
confidence: 99%
“…During periods of low tide, intertidal habitants, especially sessile organisms, often face air exposure, resulting in water loss, oxygen deficiency, thermal stress, and limited food supply 1 2 3 . The adaptations of intertidal organisms to cope with extreme environmental changes during tidal cycles have received many attentions 4 5 6 7 8 9 10 11 12 . For example, intertidal bivalves evolved two main strategies to deal with air exposure 1 : continuous anaerobic metabolism during valve closure during air exposure, and 2 intermittent aerobic respiration with periodic gaping 1 4 10 .…”
mentioning
confidence: 99%
“…The differential mortality could also be envisaged to result from a higher mortality rate of particularly infected snails at the higher temperature. This scenario is, however, unlikely because the prevalence of infection in snails at the end of the experiment was similar in the 2 temperature treatments (17.9°C: 27.0%; 21.2°C: 29.4%).Because snail consumption of algae was measured as the difference between algal mass added at the start and retrieved at the end of the experiment, and because the growth rate of Ulva lactuca is temperature dependent (Wang et al 2007), consumption was corrected for algal growth at both experimental temperatures. This was done by multiplying the average amount of algal mass present during the experiment (g) and the average growth rate of controls (g g -1 start weight d -1…”
mentioning
confidence: 99%