Chlorophyll-normalized isoprene production in laboratory cultures of marine microalgae and implications for global models
Chlorophyll-normalized isoprene production in laboratory cultures of marine microalgae and implications for global models
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DOI：
10.4319/lo.2013.58.4.1301
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发表时间：
2013-07-01
影响因子：
4.5
通讯作者：
Steinke, M.
中科院分区：
文献类型：
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作者：
Exton, D. A.;Suggett, D. J.;Steinke, M.
我们使用海洋微藻的实验室培养物来研究生长条件及其分类位置对异戊二烯生产的影响，异戊二烯是一种对大气化学有重大影响的气体，并为许多初级生产者提供了胁迫耐受性。异戊二烯定量从21个微藻株采样指数增长，使用吹扫和陷阱预浓缩和气相色谱火焰离子化检测。异戊二烯的产生速率在不同菌株之间有两个数量级的差异（0.03-1.34 μ mol [g叶绿素a]（-1）h（-1）），并且与温度呈正相关（r（2）= 0.52，p < 0.001，n = 59）。异戊二烯和叶绿素a之间存在三种不同的海表温度（SST）依赖关系（μ mol [g叶绿素a]（-1）h（-1）），与以前模型中使用的单一关系相比，分辨率有所提高：对于在-1 ℃下生长的三种极性菌株，（斜率= 0.03，R-2 = 0.76，p < 0.05，n = 9），9个菌株在16 ℃下生长（斜率= 0.24，R-2 = 0.43，p < 0.05，n = 27，不包括杜氏盐藻），8个菌株在26 ℃下生长（斜率= 0.39，R-2 = 0.15，p < 0.05，n = 24）。然后，我们使用了一个简单的模型，适用于三个代表性的生物区的生长温度在这项研究中使用的SST依赖性的异戊二烯生产。这种方法产生了全球海洋异戊二烯产量的估计值，比以前使用SST独立的单一关系的尝试高出51%。因此，考虑到温度的影响，可能允许更精确的海洋异戊二烯生产建模，并建议增加基于SST的数据分辨率，超出这里使用的三组，可以进一步改善未来的建模模拟。
We used laboratory cultures of marine microalgae to investigate the effects of growth conditions and their taxonomic position on the production of isoprene, a gas that has major effects on atmospheric chemistry and provides stress tolerance to many primary producers. Isoprene was quantified from 21 microalgal strains sampled during exponential growth, using purge-and-trap pre-concentration and gas chromatography with flame-ionization detection. Isoprene production rates varied by two orders of magnitude between strains (0.03-1.34 mu mol [g chlorophyll a](-1) h(-1)), and were positively correlated with temperature (r(2) = 0.52, p < 0.001, n = 59). Three distinct sea surface temperature (SST)-dependent relationships were found between isoprene and chlorophyll a (mu mol [g chlorophyll a](-1) h(-1)), an improvement in resolution over the single relationship used in previous models: for three polar strains grown at -1 degrees C (slope = 0.03, R-2 = 0.76, p < 0.05, n = 9), nine strains grown at 16 degrees C (slope = 0.24, R-2 = 0.43, p < 0.05, n = 27 with Dunaliella tertiolecta excluded), and eight strains grown at 26 degrees C (slope = 0.39, R-2 = 0.15, p < 0.05, n = 24). We then used a simple model that applied the SST-dependent nature of isoprene production to three representative bioregions for the growth temperatures used in this study. This approach yielded an estimate of global marine isoprene production that was 51% higher than previous attempts using an SST-independent single relationship. Taking into account the effect of temperature therefore potentially allows more precise modeling of marine isoprene production, and suggests that increasing the SST-based resolution of data beyond the three groups used here could further improve future modeling simulations.