Quantifying pigment content in crustose coralline algae using hyperspectral imaging: A case study with Tethysphytum antarcticum (Ross Sea, Antarctica)

IF 2.8 3区 生物学 Q1 MARINE & FRESHWATER BIOLOGY
Juan C. Montes-Herrera, Emiliano Cimoli, Vonda J. Cummings, Roberta D'Archino, Wendy A. Nelson, Arko Lucieer, Vanessa Lucieer
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Abstract

Crustose coralline algae (CCA) are a highly diverse group of habitat-forming, calcifying red macroalgae (Rhodophyta) with unique adaptations to diverse irradiance regimes. A distinctive CCA phenotype adaptation, which allows them to maximize photosynthetic performance in low light, is their content of a specific group of light-harvesting pigments called phycobilins. In this study, we assessed the potential of noninvasive hyperspectral imaging (HSI) in the visible spectrum (400–800 nm) to describe the phenotypic variability in phycobilin content of an Antarctic coralline, Tethysphytum antarcticum (Hapalidiales), from two distinct locations. We validated our measurements with pigment extractions and spectrophotometry analysis, in addition to DNA barcoding using the psbA marker. Targeted spectral indices were developed and correlated with phycobilin content using linear mixed models (R2 = 0.64–0.7). Once applied to the HSI, the models revealed the distinct phycoerythrin spatial distribution in the two site-specific CCA phenotypes, with thin and thick crusts, respectively. This study advances the capabilities of hyperspectral imaging as a tool to quantitatively study CCA pigmentation in relation to their phenotypic plasticity, which can be applied in laboratory studies and potentially in situ surveys using underwater hyperspectral imaging systems.

Abstract Image

利用高光谱成像技术量化壳状珊瑚藻的色素含量:Tethysphytum antarcticum(南极罗斯海)案例研究。
结壳珊瑚藻(CCA)是一类高度多样化的栖息地形成钙化红色大型藻类(红藻门),对不同的辐照制度具有独特的适应性。CCA 的一个独特适应表型是它们含有一组特定的光收集色素,即藻胆蛋白,这使它们能够在弱光下最大限度地提高光合作用性能。在本研究中,我们评估了在可见光谱(400-800 nm)范围内使用非侵入式高光谱成像(HSI)来描述来自两个不同地点的南极珊瑚(Tethysphytum antarcticum (Hapalidiales))藻纤蛋白含量表型变异的潜力。除了使用 psbA 标记进行 DNA 条形编码外,我们还通过色素提取和分光光度法分析验证了我们的测量结果。利用线性混合模型(R2 = 0.64-0.7)建立了目标光谱指数,并将其与植物色素含量相关联。一旦应用到 HSI,这些模型就能揭示藻红素在两个特定地点的 CCA 表型中不同的空间分布,分别为薄壳和厚壳。这项研究提高了高光谱成像作为定量研究 CCA 色素沉积与其表型可塑性相关性的工具的能力,它可应用于实验室研究,也可利用水下高光谱成像系统进行现场调查。
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来源期刊
Journal of Phycology
Journal of Phycology 生物-海洋与淡水生物学
CiteScore
6.50
自引率
3.40%
发文量
69
审稿时长
2 months
期刊介绍: The Journal of Phycology was founded in 1965 by the Phycological Society of America. All aspects of basic and applied research on algae are included to provide a common medium for the ecologist, physiologist, cell biologist, molecular biologist, morphologist, oceanographer, taxonomist, geneticist, and biochemist. The Journal also welcomes research that emphasizes algal interactions with other organisms and the roles of algae as components of natural ecosystems. All aspects of basic and applied research on algae are included to provide a common medium for the ecologist, physiologist, cell biologist, molecular biologist, morphologist, oceanographer, acquaculturist, systematist, geneticist, and biochemist. The Journal also welcomes research that emphasizes algal interactions with other organisms and the roles of algae as components of natural ecosystems.
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