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Environmental drivers of mixotrophy and its impact on the plankton metabolic balance

混合营养的环境驱动因素及其对浮游生物代谢平衡的影响

基本信息

批准号：
2571012
负责人：
金额：
--
依托单位：
University of Southampton
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2021
资助国家：
英国
起止时间：
2021 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2571012
关键词：
Environmental drivers mixotrophy its impact

项目摘要

Mixotrophy is a successful nutritional strategy as it provides marine micro-organisms with the ability to combine photoautotrophy and phago-heterotrophy, and therefore use alternative forms of carbon uptake (1). Thus, mixotrophs contain a functional chloroplast and can additionally graze on prey to obtain their carbon. This alternative nutritional pathway is advantageous under light- and nutrient-limited environments, where mixotrophs get a nutritional advantage compared to strict autotrophs or heterotrophs (2). There is limited knowledge on the influence of mixotrophy on the relationships between chlorophyll-a and primary production, on the net community production, and therefore, on the carbon transfer to higher trophic levels and the ecosystem functioning. A recent study in temperate coastal waters showed that mixotrophy can alter the relationship between primary production estimates and chlorophyll-a concentration, and this change could introduce biases to the primary production estimations from satellites and gliders (3). However, there is currently no quantification of the variability of this relationship, and whether it is similar for different organisms (bacteriophages, mixotrophic ciliates and coccolithophores) or the influence of environmental conditions. This project will address these questions combining laboratory work and numerical models.

混合营养是一种成功的营养策略，因为它为海洋微生物提供了将光自养和吞噬异养相结合的能力，从而使用替代形式的碳吸收(1)。因此，混合营养体包含一个功能强大的叶绿体，并且还可以捕食猎物以获取碳。这种替代的营养途径在光和营养有限的环境中是有利的，与严格的自养或异养相比，混合营养获得营养优势(2)。关于混合营养对叶绿素a和初级生产量之间的关系、对群落净生产量的影响，以及对向较高营养水平的碳转移和生态系统功能的影响，人们知之甚少。最近在温带沿海水域的一项研究表明，混合营养可以改变初级生产力估计与叶绿素a浓度之间的关系，这种变化可能会对卫星和滑翔机的初级生产力估计产生偏差(3)。然而，目前还没有对这种关系的可变性进行量化，以及不同的生物体(噬菌体、混合营养纤毛虫和球藻)或环境条件的影响是否相似。这个项目将结合实验室工作和数值模型来解决这些问题。