Bio-optical signatures of in situ photosymbionts predict bleaching severity prior to thermal stress in the Caribbean coral species Acropora palmata
Bio-optical signatures of in situ photosymbionts predict bleaching severity prior to thermal stress in the Caribbean coral species Acropora palmata
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原位光共生体的生物光学特征预测加勒比珊瑚物种鹿角珊瑚在热应激之前的漂白严重程度
DOI：
10.1007/s00338-023-02458-5
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发表时间：
2024
期刊：
影响因子：
3.5
通讯作者：
Klepac, Courtney
中科院分区：
文献类型：
--
作者：
Hoadley, Kenneth D.;Lowry, Sean;McQuagge, Audrey;Dalessandri, Shannon;Lockridge, Grant;O’Donnell, Sibelle;Elder, Holland;Ruggeri, Maria;Karabelas, Eleftherios;Klepac, Courtney
识别个体珊瑚的耐漂白特性是许多恢复和保护举措的主要重点，但往往依赖于大规模或高通量的实验操作，这可能是许多一线恢复从业人员无法访问的。在这里，我们评估了一种机器学习技术来生成一个预测模型，该模型使用低成本和开放式生物光学工具测量的非破坏性叶绿素a荧光光生理指标来估计漂白的严重程度。首先，在一个陆基恢复设施中，对156个鹿角珊瑚基因型进行了为期4周的热漂白试验。通过基于光生理学的树状图生成的四种不同的光响应表型（簇）之间产生的漂白响应（Fv/Fm或吸光度的百分比变化）显著不同，表明基于荧光的光生理学指标和未来漂白严重程度之间的强烈一致性。耐热进化枝D共生体的比例也显着不同的光生理为基础的树状图集群，连接光响应表型和漂白反应与潜在的共生体物种。接下来，这些相关性用于训练，然后使用自举响应技术测试基于随机森林算法的模型。测试珊瑚的预测和实际漂白反应之间的相关性是显著的（p< 0.0001），并且随着模型训练中使用的珊瑚数量的增加而增加（Fv/Fm和吸光度的峰值平均R2值分别为0.45和0.35）。基于光生理学的表型和未来的漂白严重程度之间的强烈一致性可能提供一个高度可扩展的手段来评估珊瑚礁。
The identification of bleaching tolerant traits among individual corals is a major focus for many restoration and conservation initiatives but often relies on large scale or high-throughput experimental manipulations which may not be accessible to many front-line restoration practitioners. Here, we evaluate a machine learning technique to generate a predictive model which estimates bleaching severity using non-destructive chlorophyll-a fluorescence photo-physiological metrics measured with a low-cost and open access bio-optical tool. First, a 4-week long thermal bleaching experiment was performed on 156 genotypes ofAcropora palmataat a land-based restoration facility. Resulting bleaching responses (percent change in Fv/Fm or Absorbance) significantly differed across the four distinct light-response phenotypes (clusters) generated via a photo-physiology-based dendrogram, indicating strong concordance between fluorescence-based photo-physiological metrics and future bleaching severity. The proportion of thermally tolerant Clade D symbionts also differed significantly across photo-physiology-based dendrogram clusters, linking light-response phenotypes and bleaching response with underlying symbiont species. Next, these correlations were used to train and then test a Random Forest algorithm-based model using a bootstrap resampling technique. Correlation between predicted and actual bleaching responses in test corals was significant (p< 0.0001) and increased with the number of corals used in model training (Peak averageR2values of 0.45 and 0.35 for Fv/Fm and absorbance, respectively). Strong concordance between photo-physiology-based phenotypes and future bleaching severity may provide a highly scalable means for assessing reef corals.
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影响因子：
4.6
作者：
Kitchen, S. A.;Von Kuster, G.;Baums, I. B.
通讯作者：
Baums, I. B.
预测生态学：系统方法
DOI：
--
发表时间：
2012
期刊：
Philosophical Transactions of the Royal Society B: Biological Sciences
影响因子：
--
作者：
M. Evans;K. Norris;T. Benton
通讯作者：
T. Benton
隐秘珊瑚物种之间不同白化耐受性的基因组分析
DOI：
10.1098/rspb.2021.0678
发表时间：
2021
期刊：
Proceedings of the Royal Society B: Biological Sciences
影响因子：
--
作者：
Rose, Noah H.;Bay, Rachael A.;Morikawa, Megan K.;Thomas, Luke;Sheets, Elizabeth A.;Palumbi, Stephen R.
通讯作者：
Palumbi, Stephen R.
影响因子：
2.7
作者：
Oxborough, Kevin;Moore, C. Mark;Geider, Richard J.
通讯作者：
Geider, Richard J.
影响因子：
2.7
作者：
Evensen, Nicolas. R. R.;Parker, Katherine. E. E.;Barshis, Daniel. J. J.
通讯作者：
Barshis, Daniel. J. J.