期刊
FRONTIERS IN MARINE SCIENCE
卷 9, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fmars.2022.913654
关键词
asexual reproduction; life history; transgenerational effect; trade-off; jellyfish bloom; Aurelia
资金
- National Natural Science Foundation of China
- Key deployment projects of the Center for Ocean Mega-Science,Chinese Academy of Sciences
- Mount Tai Scholar Climbing Plan
- [42130411]
- [42076166]
- [COMS2019Z01]
Understanding the life history strategy of organisms is crucial for predicting population dynamics. In the case of scyphozoan jellyfish, we found that their asexual reproduction rate decreases over time but can be counteracted by longer culture durations. This study highlights the importance of sexual reproduction in renewing the asexual reproduction ability of a population and emphasizes the need to consider the asexual age of organisms in studying population dynamics.
Understanding the life history strategy of organisms is key to predicting their population dynamics. The population of scyphozoan jellyfish has displayed an increasing trend in recent decades, yet its life history strategy is not fully understood. To interpret the reproduction strategy of scyphozoan jellyfish from an evolutionary ecology perspective, we dissected 10 asexual generations of Aurelia coerulea polyps to investigate the relationships between transgenerational effects on their budding reproduction and strobilation. Our results reveal that a polyp's average budding reproduction rate declined 32.82% through asexual generations within the experimental time. Furthermore, a longer culture duration counteracted the transgenerational effects on budding rates and strobilation afterward. Thus, this effort provides insight into the necessity of sexual reproduction in organisms involving a metagenic life cycle, i.e., to renew the asexual reproduction ability of a population. Besides this, we suggest taking note that it is necessary to know the asexual age of polyps when performing experimental studies and mathematical modeling to explore their population dynamics. Our results also present a valuable data set to interpret the evolution of the scyphozoan jellyfish's life history strategy under multifactorial environments.
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