MHBMDAA: Membrane-based DNA array with high resolution and sensitivity for toxic microalgae monitoring

Development of a rapid detection method for Karenia mikimotoi by using CRISPR-Cas12a

Harmful algal blooms (HABs), mainly formed by dinoflagellates, have detrimental effects on marine ecosystems and public health. Therefore, detecting HABs is crucial for early warning and prevention of HABs as well as the mitigation of their adverse effects. Although various methods, such as light microscopy, electron microscopy, real-time PCR, and microarrays, have already been established for the detection of HABs, they are still cumbersome to be exploited in the field. Therefore, rapid nucleic detection methods such as recombinase polymerase amplification (RPA) and loop-mediated isothermal amplification (LAMP)-lateral flow dipstick (LFD) have been developed for monitoring bloom-forming algae. However, the CRISPR/Cas-based detection of HABs has yet to be applied to this field. In this study, we developed a method for detecting Karenia mikimotoi (K. mikimotoi), a typical ichthyotoxic dinoflagellate responsible for global blooms. Our method utilized Cas12a from Lachnospiraceae bacterium ND2006 (LbCas12a) to target and cleave the internal transcribed spacer (ITS) of K. mikimotoi, guided by RNA. We leveraged the target-activated non-specific single-stranded deoxyribonuclease cleavage activity of LbCas12a to generate signals that can be detected using fluorescence-read machines or LFDs. By combining RPA and LbCas12a with reporters, we significantly enhanced the sensitivity, enabling the detection of ITS-harboring plasmids at concentrations as low as 9.8 aM and genomic DNA of K. mikimotoi at levels as low as 3.6 × 10-5 ng/μl. Moreover, we simplified the genomic DNA extraction method using cellulose filter paper (CFP) by directly eluting the DNA into RPA reactions, reducing the extraction time to < 30 s. The entire process, from genomic DNA extraction to result reporting, takes less than an hour, enabling the identification of nearly a single cell. In conclusion, our method provided an easy, specific, and sensitive approach for detecting K. mikimotoi, offering the potential for efficient monitoring and management of K. mikimotoi blooms.

Rapid detection of Chattonella marina by PCR combined with dot lateral flow strip

In this study a novel technique referred to as PCR combined with dot lateral flow strip (PCDS) is proposed and its application to the detection of harmful microalgae was explored. For this purpose, using Chattonella marina as a test algal species, PCR targeting the D1-D2 region of large subunit ribosomal gene of this alga was performed with the tagged specific primers. The amplicons were then analyzed with the manually prepared dot lateral flow strip, and the strip could produce a test dot and a control dot that are naked-eye detectable, indicating the successful establishment of PCDS. The established PCDS assay does not require expensive instruments for the detection, and the results can be observed visually after adding 7.5 μL of PCR amplicons in combination with 92.5 μL of chromatography buffer to the sample pad of the strip for about 10 min. The PCR conditions were optimized to enhance the effectiveness of detection. The cross-reactivity test with 23 microalgae species, including Chattonella marina, showed good specificity of the PCDS. The detection limit of PCDS was 1.25 × 10^-2 ng µL^-1 for genomic DNA and 10¹ cells mL^-1 for crude cell extracts, which can meet the detection needs. In summary, the PCDS proposed in this study has low cost, clear, and intuitive detection results and good specificity and sensitivity, providing a novel detection method for C. marina.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s10811-021-02667-x.

Rolling Circle Amplification as an Efficient Analytical Tool for Rapid Detection of Contaminants in Aqueous Environments

Environmental contaminants are a global concern, and an effective strategy for remediation is to develop a rapid, on-site, and affordable monitoring method. However, this remains challenging, especially with regard to the detection of various contaminants in complex water environments. The application of molecular methods has recently attracted increasing attention; for example, rolling circle amplification (RCA) is an isothermal enzymatic process in which a short nucleic acid primer is amplified to form a long single-stranded nucleic acid using a circular template and special nucleic acid polymerases. Furthermore, this approach can be further engineered into a device for point-of-need monitoring of environmental pollutants. In this paper, we describe the fundamental principles of RCA and the advantages and disadvantages of RCA assays. Then, we discuss the recently developed RCA-based tools for environmental analysis to determine various targets, including heavy metals, organic small molecules, nucleic acids, peptides, proteins, and even microorganisms in aqueous environments. Finally, we summarize the challenges and outline strategies for the advancement of this technique for application in contaminant monitoring.

How does the Internet of Things (IoT) help in microalgae biorefinery?

Microalgae biorefinery is a platform for the conversion of microalgal biomass into a variety of value-added products, such as biofuels, bio-based chemicals, biomaterials, and bioactive substances. Commercialization and industrialization of microalgae biorefinery heavily rely on the capability and efficiency of large-scale cultivation of microalgae. Thus, there is an urgent need for novel technologies that can be used to monitor, automatically control, and precisely predict microalgae production. In light of this, innovative applications of the Internet of things (IoT) technologies in microalgae biorefinery have attracted tremendous research efforts. IoT has potential applications in a microalgae biorefinery for the automatic control of microalgae cultivation, monitoring and manipulation of microalgal cultivation parameters, optimization of microalgae productivity, identification of toxic algae species, screening of target microalgae species, classification of microalgae species, and viability detection of microalgal cells. In this critical review, cutting-edge IoT technologies that could be adopted to microalgae biorefinery in the upstream and downstream processing are described comprehensively. The current advances of the integration of IoT with microalgae biorefinery are presented. What this review discussed includes automation, sensors, lab-on-chip, and machine learning, which are the main constituent elements and advanced technologies of IoT. Specifically, future research directions are discussed with special emphasis on the development of sensors, the application of microfluidic technology, robotized microalgae, high-throughput platforms, deep learning, and other innovative techniques. This review could contribute greatly to the novelty and relevance in the field of IoT-based microalgae biorefinery to develop smarter, safer, cleaner, greener, and economically efficient techniques for exhaustive energy recovery during the biorefinery process.

Detecting harmful algal blooms with nucleic acid amplification-based biotechnological tools

Harmful algal blooms (HABs) represent a growing threat to aquatic ecosystems and humans. Effective HAB management and mitigation efforts strongly rely on the availability of timely and in-situ tools for the detection of microalgae. In this sense, nucleic acid-based (molecular) methods are being considered for the unequivocal identification of microalgae as an attractive alternative to the currently used time-consuming and laboratory-based light microscopy techniques. This review provides an overview of the progress made on new molecular biotechnological tools for microalgal detection, particularly focusing on those that combine a nucleic acid (DNA or RNA) amplification step with detection. Different types of amplification processes (thermal and isothermal) and detection formats (e.g. microarrays, biosensors, lateral flows) are presented, and a comprehensive overview of their advantages and limitations is provided Although isothermal techniques are an attractive alternative to thermal amplification to reach in-situ analysis, further development is still required. Finally, current challenges, critical steps and future directions of the whole analysis process (from sample procurement to in-situ implementation) are described.

Critical review of methods for isothermal amplification of nucleic acids for environmental analysis

The past 30 years have seen the emergence and proliferation of isothermal amplification methods (IAMs) for rapid, sensitive detection and quantification of nucleic acids in a variety of sample types. These methods share dependence on primers and probes with quantitative PCR, but they differ in the specific enzymes and instruments employed, and are frequently conducted in a binary, rather than quantitative format. IAMs typically rely on simpler instruments than PCR analyses due to the maintenance of a single temperature throughout the amplification reaction, which could facilitate deployment of IAMs in a variety of environmental and field settings. This review summarizes the mechanisms of the most common IAM methods and their use in studies of pathogens, harmful algae and fecal indicators in environmental waters, feces, wastewater, reclaimed water, and tissues of aquatic animals. Performance metrics of sensitivity, specificity and limit of detection are highlighted, and the potential for use in monitoring and regulatory contexts is discussed.

Development and application of a real-time PCR assay for the sensitive detection of diarrheic toxin producer Prorocentrum lima

Prorocentrum lima (P. lima) is a widely spread dinoflagellate in the Mediterranean Sea and it has become increasingly involved in harmful algal blooms. The purpose of this study is to develop a probe-based real-time polymerase chain reaction (PCR) targeting the ITS1-5.8S-ITS2 region for the detection and absolute quantification of P. lima based on linear and circular DNA standards. The results have shown that the quantitative PCR (q-PCR), using circular plasmid as a template, gave a threshold cycle number 1.79-5.6 greater than equimolar linear standards. When microalgae, commonly found in aquatic samples were tested, no cross-amplification was observed. The q-PCR brought about a good intra and inter-run reproducibility and a detection limit of 5 copies of linear plasmid per reaction. A quantitative relationship between the cell numbers and their corresponding plasmid copy numbers was attained. Afterwards, the effectiveness of the developed protocol was tested with 130 aquatic samples taken from 19 Tunisian sampling sites. The developed q-PCR had a detection sensitivity of up to 1 cell. All the positive samples were taken from three sampling sites of Medenine Governorate with cell abundances that ranged from 22 to 156,000 cells L-1 of seawater. The q-PCR assay revealed a high sensitivity in monitoring the aquatic samples in which the low concentrations of P. lima were not accurately detected by light microscopy. Indeed, this approach is at the same time rapid, specific and sensitive than the traditional microscopy techniques and it represents a great potential for the monitoring of P. lima blooms.

Quantitative PCR assay for the simultaneous identification and enumeration of multiple Karenia species

Quantitative PCR (qPCR) is the method of choice for specific detection and quantification of harmful algal bloom (HAB) species. Development of qPCR assay for simultaneous enumeration of species that frequently co-exist in HABs is required. A high sensitivity TaqMan qPCR assay, using probe and primers, located at ITS1-5.8S-ITS2 rDNA region, detecting, specifically, Karenia selliformis, K. bidigitata, and K. mikimotoi, was designed. ITS1-5.8S-ITS2 rDNA region copy numbers per Karenia cell genome were estimated to 217.697 ± 67.904, allowing cell quantification. An application of the designed methodology in field samples has been conducted, and it showed high sensitivity (detection of around 10^-1 cell/100 mg of bivalve mollusk tissue, equivalent to about 20 copies of the target sequence). We suggest that the optimized method could contribute to early detection of three closely related Karenia species in seafood cultivating areas to promote control quality, guarantee a fast and effective intervention, and improve public health prevention.

Characterization of physiological states of the suspended marine microalgae using polarized light scattering

Physiological states of marine microalgal cells can influence photosynthesis efficiency, which affects approximately half of global carbon fixation. The detection of the algae physiological profiles is important for marine ecology and economy. In this paper, we propose a polarized light-scattering method to detect sensitive changes in the physiological states of the suspended marine microalgal cells. Our experimental setup is designed to measure the scattered polarization parameters of the cells suspended individually in the seawater. Two species of microalgal cells cultured in the laboratory were measured for several days. Experimental results showed that both species display distinctive changes in their polarized photon scattering features corresponding to changes in their physiological states. The changes are far more prominent than those displayed in unpolarized light scattering. Microscopy observations, simulations for microspheres of different diameters and refractive indices, or different shapes, indicated that the polarization features of the scattered photons are sensitive to the submicrometer microstructures of the cells. This study demonstrates the potential of the polarized light-scattering technique to characterize the physiological states of suspended marine microalgae.

Detecting Harmful Algal Blooms with Isothermal Molecular Strategies

The use of isothermal nucleic acid amplification strategies to detect harmful algal blooms (HABs) is in its infancy. We describe recent advances in these systems and highlight the challenges for the achievement of simple, low-cost, compact, and portable devices for field applications.

Establishment and application of hyperbranched rolling circle amplification coupled with lateral flow dipstick for the sensitive detection of Karenia mikimotoi

The dinoflagellate Karenia mikimotoi is a noxious and harmful algal bloom (HAB)-forming microalga. Establishing a rapid, accurate, and sensitive method of detecting this harmful alga is necessary to provide warnings of imminent HABs through field monitoring. Here, an isothermal amplification technique combined with a rapid analytical method for nucleic acid-based amplified products, i.e., hyperbranched rolling circle amplification (HRCA) coupled with lateral flow dipstick (LFD), hereafter denoted as HRCA-LFD, was established to detect K. mikimotoi. The HRCA-LFD assay relied on a padlock probe (PLP) targeting DNA template and an LFD probe targeting PLP. The sequenced internal transcribed spacer of K. mikimotoi through molecular cloning was used as the target of PLP. The optimized HRCA conditions was determined to be as follows: PLP concentration, 20 pM; ligation temperature, 65 °C; ligation time, 10 min; amplification temperature, 61 °C; and amplification time, 30 min. The developed HRCA-LFD assay was specific for K. mikimotoi, displaying no cross-reactivity with other common microalgae. Sensitivity-comparison tests indicated that HRCA-LFD assay was 100-fold more sensitive than PCR, with a detection limit of 0.1 cell mL^-1 when used to analyze spiked field samples. The analysis with field samples also indicated that HRCA-LFD assay was suitable for samples with a target cell density range of 1-1000 cells mL^-1. All of these results suggested that HRCA-LFD assay is an alternative method for the sensitive and reliable detection of K. mikimotoi from marine water samples.