Recruitment of cyanobacteria by reverse transcription quantitative real-time PCR based on expression of <i>Microcystis</i> gene

Yu, Lei; Wu, Xiaofei; Yu, Yang; Shi, Limei; Zhang, Min

doi:10.7717/peerj.7188

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…Many studies have analyzed the abundance of mcy genes to detect the microcystins levels in water bodies [14,15]. The SYBR Green qPCR method is characterized by high speci city, reproducibility, rapidity, and has been widely used for the quantitative detection of gene expression [16,17]. Anil Kumar et al found the presence of the toxic cyanobacterium by employing polymerase chain reaction (PCR) ampli cation of six genes of the mcy genes cluster (mcyA, mcyB, mcyC, mcyD, mcyE and mcyG) in seven eutrophicated ponds of Varanasi [18].…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal variation of toxin-producing gene abundance in Microcystis aeruginosa from Poyang Lake

Lin

Zhang

Yuan

et al. 2023

Preprint

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Microcystis aeruginosa causes massive blooms in eutrophic freshwater and releases microcystin. Poyang Lake is the largest freshwater lake in China and has kept at a mid-nutrient level in recent years. However, there is little research on microcystins production in Poyang Lake. In this study, water and sediment samples from ten sampling sites in Poyang Lake were collected from May to December in 2020, and from January to April in 2021 respectively. Microcystis genes (mcyA,mcyB,16s rDNA) were quantified by real-time fluorescence quantitative PCR analysis,and then the spatial and temporal variation of mcy genes, physicochemical factors and bacterial population structure in the lake was analyzed. The relationship between the abundance of mcy genes and physicochemical factors in water column were also revealed. Results indicated that the microcystin-producing genes mcyA and mcyB showed significant differences in spatial and temporal levels as well, which is closely related to the physicochemical factors especially the water temperature(p < 0.05) and the nitrogen content(p < 0.05). The abundance of mcy genes in the sediment in December affected the abundance of mcy genes in the water column in the next year, while the toxic Microcystis would accumulate in the sediment. In addition to the toxic Microcystis, we also found a large number of non-toxic Microcystis in the water column and sediment, the ratio of toxic to non-toxic species can also affect the toxicity production of Microcystis aeruginosa. Overall, the results showed that Microcystis aeruginosa toxin-producing genes in Poyang Lake distributed spatially and temporally which related to the physicochemical factors of Poyang Lake.

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Section: Introductionmentioning

confidence: 99%

Spatio-temporal variation of toxin-producing gene abundance in Microcystis aeruginosa from Poyang Lake

Lin

Zhang

Yuan

et al. 2023

Preprint

View full text Add to dashboard Cite

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Spatio-temporal variation of toxin-producing gene abundance in Microcystis aeruginosa from Poyang Lake

Wu,

Zhang,

Yuan

et al. 2023

Environ Sci Pollut Res

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Metamaterial Sensing of Cyanobacteria Using THz Thermal Curve Analysis

Jeong,

Jun,

Ahn

2024

Biosensors

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In this study, we perform thermal curve analyses based on terahertz (THz) metamaterials for the label-free sensing of cyanobacteria. In the presence of bacterial films, significant frequency shifts occur at the metamaterial resonance, but these shifts become saturated at a certain thickness owing to the limited sensing volume of the metamaterial. The saturation value was used to determine the dielectric constants of various cyanobacteria, which are crucial for dielectric sensing. For label-free identification, we performed thermal curve analysis of THz metamaterials coated with cyanobacteria. The resonant frequency of the cyanobacteria-coated metasensor changed with temperature. The differential thermal curves (DTC) obtained from temperature-dependent resonance exhibited peaks unique to individual cyanobacteria, which helped identify individual species. Interestingly, despite being classified as Gram negative, cyanobacteria exhibit DTC profiles similar to those of Gram-positive bacteria, likely due to their unique extracellular structures. DTC analysis can reveal unique characteristics of various cyanobacteria that are not easily accessible by conventional approaches.

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Recruitment of cyanobacteria by reverse transcription quantitative real-time PCR based on expression of Microcystis gene

Cited by 3 publications

References 22 publications

Spatio-temporal variation of toxin-producing gene abundance in Microcystis aeruginosa from Poyang Lake

Spatio-temporal variation of toxin-producing gene abundance in Microcystis aeruginosa from Poyang Lake

Spatio-temporal variation of toxin-producing gene abundance in Microcystis aeruginosa from Poyang Lake

Metamaterial Sensing of Cyanobacteria Using THz Thermal Curve Analysis

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