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The detection and monitoring of microorganisms in complex natural microbial communities are crucial in many fields, including biomedicine, environmental ecology, and astrobiology. Cyanobacteria are prokaryotic microorganisms well-known for their ability to form blooms (excessive proliferation) of cells in fresh water. They are ubiquitous, and many species are able to produce toxins, leading not only to a potential risk for human health, but also to an ecological impact. In this regard, it is essential to develop rapid and sensitive methods for the early detection of cyanobacteria and/or their toxins in soil and water. For this purpose, a multiplex fluorescent sandwich microarray immunoassay (FSMI) has been developed as a tool for water managers to help them in making decisions and, consequently, in implementing proper water management programs.
A diverse range of methods has been developed to detect and identify cyanobacterial cells and cyanotoxins in soil and water, including optical microscopy, molecular biology, and immunological techniques. These methods can vary greatly in the information they provide. Microscopic techniques are based on cell morphology and the detection of in vivo fluorescence from cyanobacterial pigments, such as phycocyanin or chlorophyll a1. Although they are quick and cheap methods for real-time and frequent monitoring that inform about the type and number of cyanobacteria present in a sample, they do not give information about the potential toxicity. In addition, they require a certain level of expertise, considering that it is often very difficult to distinguish between closely related species2. To overcome these limitations, light microscopy must be accompanied by both biological and biochemical screening assays and physicochemical methods for the identification and quantification of cyanotoxins.
Enzyme-linked immunosorbent assays (ELISA), protein phosphate inhibition assays (PPIA), and neurochemical tests in mice are examples of biochemical screening assays for the detection of cyanotoxins. While the first two are rapid and sensitive methodologies, false positives have been described when using ELISA and PPIA tests are restricted to three types of toxins. The mouse bioassay is a qualitative technique with low sensitivity and precision, and special licensing and training is required. In addition, it does not give information about the type of toxins present in a sample. Cyanotoxins can be identified and quantified by other analytical methods, such as high-performance liquid chromatography (HPLC), liquid chromatography-mass spectrometry (LC-MS), gas chromatography (GC), gas chromatography-mass spectrometry (GC-MS), or matrix-assisted laser desorption/ionization time of flight (MALDI-TOF). However, this is only possible if reference standards, which are needed to determine individual toxin concentrations in complex samples, are available3,4. Moreover, these methods are time-consuming; require costly equipment, supplies, and sample preparation; and must be performed by experienced and specialized staff.
Molecular-based methods have been applied for decades to detect, identify, and quantify cyanobacteria and their corresponding cyanotoxins thanks to the sequence information published in the genome databases (e.g., National Center for Biotechnology Information, NCBI). Among these methods are those based on the polymerase chain reaction (PCR), which requires the design of sets of primers for DNA amplification and depend on previous knowledge of DNA sequences of different cyanobacterial species. While gene detection, like the phycocyanin operon, leads to accurate identification at the genus level, some species or strains are undetected with this method. However, toxin-encoding genes, such as those belonging to the microcystin operon, facilitate the identification of toxins in samples where the producers are scarce5. Nonetheless, the detection of toxin markers by PCR does not necessarily imply toxicity in the environment. Furthermore, the set of primers developed to analyze the whole range of species of cyanobacteria and toxin producers present in a sample is still incomplete, and further studies must be done to identify unknown species. Other molecular techniques are non-PCR-based, such as fluorescence in situ hybridization (FISH) and DNA microarrays.
In the last two decades, microarray technology has gained importance in many fields of application, particularly in environmental monitoring. DNA microarrays allow for discrimination between species and analytes4,6,7,8,9,10, but they are considered very laborious and time-consuming tasks that involve multiple steps (e.g., microarray performance, DNA extraction, PCR amplification, and hybridization). For that reason, less time-consuming assays based on antibodies, such as sandwich and competitive immunological microarrays, have become an essential and reliable high-throughput method for the detection of multiple environmental analytes11,12,13. The capability of antibodies to specifically recognize their target compounds and to detect small amounts of analytes and proteins, along with the possibility of producing antibodies against almost any substance, make antibody microarrays a powerful technique for environmental purposes. In addition, the capability of achieving multiple analyses in a single assay, with limits of detection ranging from ppb to ppm, is one of the main advantages of this method14.
Antibody-based biosensors have proved to be sensitive and rapid tools for the detection of a wide range of pathogens and toxins in environmental monitoring15,16,17,18,19,20,21. While DNA methods involve several steps, the antibody-based microarrays only require a small sample preparation that is mainly based on a short lysis step in an appropriate solution buffer. Delehanty and Ligler15 reported the simultaneous detection of proteins and bacterial analytes in complex mixtures based on an antibody sandwich immunoassay capable of detecting a protein concentration of 4 ppb and 104 cfu/mL of cells. Szkola et al.21 have developed a cheap and reliable multiplex microarray for the simultaneous detection of proteotoxins and small toxins, compounds that might be used in biological warfare. They detected concentrations of ricin toxin, with a limit of detection of 3 ppb, in less than 20 min. Recently, the CYANOCHIP, an antibody microarray-based biosensor for the in situ detection of toxic and nontoxic cyanobacteria, has been described22. This microarray allows for the identification of potential cyanobacterial blooms, mostly in aquatic environments, which are difficult to identify microscopically. The limit of detection of the microarray is 102 - 103 cells for most species, turning this biosensor into a cost-effective tool for the multiplex detection and identification of cyanobacteria, even at the species level. All these properties make the antibody microarray technique, and particularly the method presented in this work, a quicker and simpler method compared to the aforementioned techniques.
This work presents two examples of experiments that use an antibody microarray-based biosensor to detect the presence of cyanobacteria in soil and water samples. It is a simple and reliable method based on a sandwich immunoassay format that requires very small sample volumes and very basic sample preparation. The method requires a short time and can be easily performed in the field.