A semi-automated image processing method for analysing the taxonomic composition of algal biofilms

IF 2.8 3区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Journal of Applied Phycology Pub Date : 2024-08-26 DOI:10.1007/s10811-024-03339-2
Zoltán Novák, Gábor Bernát, Gábor Steinbach, Nóra Boross, Zsolt Pirger, Gergely Boros
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Abstract

Benthic phototrophic communities play a crucial role in the functioning of shallow lake ecosystems. The complexity of benthic algal communities poses challenges for exploring their fine structures using traditional methods such as light microscopy. However, confocal laser scanning microscopy (CLSM) offers the potential for microscale-level structural investigation of phototrophic biofilms, thereby contributing to a deeper understanding of the structural and compositional changes within these communities. The primary objective of this study was to develop a relatively rapid, semi-automated, and freely available image processing method to facilitate the tracking of spatio-temporal alterations in intact biofilms. To evaluate our image processing method, we conducted an eight-week long outdoor mesocosm experiment, manipulating temperatures based on two global warming scenarios (assuming intermediate- and high degree of greenhouse gas emission), with increases of 3°C and 5°C, respectively, compared to the reference/unheated mesocosms. Eight limestone cubes were placed on the bottom of each mesocosm to provide 'natural' surfaces for phytobenthos colonization, which was subsequently analysed by confocal microscopy. We hypothesized that increasing water temperature might have a significant impact on the taxonomic composition of algal biofilms, particularly on the abundance of phototrophic prokaryotes and eukaryotes. The designed 'FIJI macro' efficiently analysed the recorded images, including single images, series of Z-stack images, and projection images. Our image processing method effectively discriminated photosynthetic prokaryotes and eukaryotes based on their pigment composition and proved suitable for the high-throughput analysis of structural and compositional changes in algal biofilms. Moreover, this study confirmed that climate-induced warming can lead to an increasing dominance of cyanobacteria in benthic phototrophic communities at the expense of eukaryotic algae.

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分析藻类生物膜分类组成的半自动图像处理方法
底栖光养群落在浅水湖泊生态系统的运作中发挥着至关重要的作用。底栖藻类群落的复杂性给使用传统方法(如光学显微镜)探索其精细结构带来了挑战。不过,激光共聚焦扫描显微镜(CLSM)为光养生物膜的微观结构研究提供了可能,从而有助于深入了解这些群落内部的结构和组成变化。本研究的主要目的是开发一种相对快速、半自动化且可免费使用的图像处理方法,以方便跟踪完整生物膜的时空变化。为了评估我们的图像处理方法,我们进行了一次为期八周的室外介观实验,根据两种全球变暖情景(假设温室气体排放量为中度和高度)调节温度,与参考/不加热介观实验相比,温度分别升高 3°C 和 5°C。在每个介观模式的底部放置八块石灰石,为底栖生物定殖提供 "自然 "表面,随后用共聚焦显微镜对其进行分析。我们假设,水温的升高可能会对藻类生物膜的分类组成产生重大影响,特别是对光养原核生物和真核生物的丰度。所设计的 "FIJI 宏 "可有效分析所记录的图像,包括单幅图像、系列 Z 堆栈图像和投影图像。我们的图像处理方法根据色素组成有效地区分了光合原核生物和真核生物,证明适用于对藻类生物膜的结构和组成变化进行高通量分析。此外,这项研究还证实,气候变暖会导致蓝藻在底栖光养菌群落中的优势地位不断增强,而真核藻类的优势地位则会被削弱。
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来源期刊
Journal of Applied Phycology
Journal of Applied Phycology 生物-海洋与淡水生物学
CiteScore
6.80
自引率
9.10%
发文量
212
审稿时长
2.8 months
期刊介绍: The Journal of Applied Phycology publishes work on the rapidly expanding subject of the commercial use of algae. The journal accepts submissions on fundamental research, development of techniques and practical applications in such areas as algal and cyanobacterial biotechnology and genetic engineering, tissues culture, culture collections, commercially useful micro-algae and their products, mariculture, algalization and soil fertility, pollution and fouling, monitoring, toxicity tests, toxic compounds, antibiotics and other biologically active compounds. Each issue of the Journal of Applied Phycology also includes a short section for brief notes and general information on new products, patents and company news.
期刊最新文献
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