A phenomic modeling approach for using chlorophyll-a fluorescence-based measurements on coral photosymbionts
A phenomic modeling approach for using chlorophyll-a fluorescence-based measurements on coral photosymbionts
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DOI：
10.3389/fmars.2023.1092202
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发表时间：
2023-03-02
影响因子：
3.7
通讯作者：
Muller, Erinn M.
中科院分区：
文献类型：
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作者：
Hoadley, Kenneth D.;Lockridge, Grant;Muller, Erinn M.
我们测试一个新开发的仪器原型，它利用时间分辨叶绿素荧光技术和波动的光来表征共生藻科的功能特性在7个不同的珊瑚物种正在进行的恢复工作的一部分，在佛罗里达键栽培。虽然传统的叶绿素a荧光技术只能提供少量的藻类生物特征，但我们开发的系统和协议在短时间内（类似于11分钟）生成> 1000个动态测量。由此产生的“高含量”的藻类生物特征数据揭示了不同的表型，这大致对应于使用定量PCR确定的属级Symbiodiniaceae名称。其次，对鹿角鹿角珊瑚（10种基因型）和A.掌状（5种基因型）珊瑚碎片与漂白反应指标后，收集了两个月的暴露于高温。一个网络分析确定了1973相关性（斯皮尔曼R > 0.5）之间的藻类生物统计学和各种漂白反应指标。然后利用这些鉴定的热应激生物标志物来训练预测模型，并且当针对相同的A. cervicornis和A.掌状珊瑚碎片，产生了高度的相关性（R = 0.92）与测得的热响应（减少叶绿素-a的吸光度）。当应用于所有七种珊瑚，该模型排名碎片占主导地位的Cladocopiotic或Breviolum共生体更漂白敏感比珊瑚窝藏耐热共生体（Durusdinium）。虽然仍然需要对新基因型的漂白预测进行直接测试，但我们的设备和建模管道可能有助于扩大现有方法的可扩展性，以确定珊瑚礁的耐热性。我们的仪器原型和分析管道与最近的珊瑚恢复评估相一致，这些评估要求开发新的工具，以提高珊瑚恢复计划的可扩展性。
We test a newly developed instrument prototype which utilizes time-resolved chlorophyll-a fluorescence techniques and fluctuating light to characterize Symbiodiniaceae functional traits across seven different coral species under cultivation as part of ongoing restoration efforts in the Florida Keys. While traditional chlorophyll-a fluorescence techniques only provide a handful of algal biometrics, the system and protocol we have developed generates > 1000 dynamic measurements in a short (similar to 11 min) time frame. Resulting 'high-content' algal biometric data revealed distinct phenotypes, which broadly corresponded to genus-level Symbiodiniaceae designations determined using quantitative PCR. Next, algal biometric data from Acropora cervicornis (10 genotypes) and A. palmata (5 genotypes) coral fragments was correlated with bleaching response metrics collected after a two month-long exposure to high temperature. A network analysis identified 1973 correlations (Spearman R > 0.5) between algal biometrics and various bleaching response metrics. These identified biomarkers of thermal stress were then utilized to train a predictive model, and when tested against the same A. cervicornis and A. palmata coral fragments, yielded high correlation (R = 0.92) with measured thermal response (reductions in absorbance by chlorophyll-a). When applied to all seven coral species, the model ranked fragments dominated by Cladocopium or Breviolum symbionts as more bleaching susceptible than corals harboring thermally tolerant symbionts (Durusdinium). While direct testing of bleaching predictions on novel genotypes is still needed, our device and modeling pipeline may help broaden the scalability of existing approaches for determining thermal tolerance in reef corals. Our instrument prototype and analytical pipeline aligns with recent coral restoration assessments that call for the development of novel tools for improving scalability of coral restoration programs.