five

Biochemical evolution in response to intensive harvesting in algae: evolution of quality and quantity

收藏
NIAID Data Ecosystem2026-03-10 收录
下载链接:
http://datadryad.org/dataset/doi%253A10.5061%252Fdryad.sg4hb67
下载链接
链接失效反馈
官方服务:
资源简介:
Evolutionary responses to indirect selection pressures imposed by intensive harvesting are increasingly common. While artificial selection has shown that biochemical components can show rapid and dramatic evolution, it remains unclear as to whether intensive harvesting can inadvertently induce changes in the biochemistry of harvested populations. For applications such as algal culture, many of the desirable bioproducts could evolve in response to harvesting, reducing cost-effectiveness, but experimental tests are lacking. We used an experimental evolution approach where we imposed heavy and light harvesting regimes on multiple lines of an alga of commercial interest for twelve cycles of harvesting and then placed all lines in a common garden regime for four cycles. We have previously shown that lines in a heavy harvesting regimes evolve a ‘live fast’ phenotype with higher growth rates relative to light harvesting regimes. Here, we show that algal biochemistry also differs between regimes, though they were temporarily masked by differences in density under those different regimes. Heavy harvesting regimes, evolved lower productivity of desirable bioproducts, particularly fatty acids relative to light harvesting regimes. We suggest that commercial operators wishing to maximise productivity of desirable bioproducts should maintain mother cultures, kept at higher densities (which tend to select for desirable phenotypes), and periodically restart their intensively harvested cultures to minimise the negative consequences of biochemical evolution. Our study shows that the burgeoning algal culture industry should pay careful attention to the role of evolution in intensively harvested crops as these effects are nontrivial if subtle.
创建时间:
2018-03-13
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作