Literature DB >> 11769244

Identification of cyanobacteria and their toxigenicity in environmental samples by rapid molecular analysis.

J A Baker1, B A Neilan, B Entsch, D B McKay.   

Abstract

We report molecular analyses which identify cyanobacterial strains present in environmental samples. These analyses do not require the isolation and culture of strains. Identification of cyanobacteria used the polymerase chain reaction (PCR), based on the phycocyanin operon. Differentiation was either by restriction endonuclease digestion (restriction fragment length polymorphisms) or sequencing of the PCR products. Identification was based on sequence homology of the intergenic spacer region (IGS) between the beta- and alpha-phycocyanin subunits (PC-IGS) with database records. We have found that the length and sequence of the PC-IGS is capable of predicting the genus accurately, but not the species. Toxigenicity was determined with oligonucleotide probes for key steps in the microcystin toxin synthesis pathway. We have shown that it is possible to easily and routinely obtain PCR amplification products and differentiate the strains in bloom samples. The methods can detect even minor components in bloom samples, which may not be apparent on microscopic examination. Genetic probes for microcystin toxigenicity are effective on environmental samples, eliminating the need for isolation and culture of the organisms. The use of a suite of tests described here will allow water managers to determine the presence and the type of cyanobacteria and their microcystin toxigenicity.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11769244

Source DB:  PubMed          Journal:  Environ Toxicol        ISSN: 1520-4081            Impact factor:   4.119


  9 in total

1.  Natural variation in the microcystin synthetase operon mcyABC and impact on microcystin production in Microcystis strains.

Authors:  Bjørg Mikalsen; Gudrun Boison; Olav M Skulberg; Jutta Fastner; William Davies; Tove M Gabrielsen; Knut Rudi; Kjetill S Jakobsen
Journal:  J Bacteriol       Date:  2003-05       Impact factor: 3.490

2.  Quantitative real-time PCR for determination of microcystin synthetase e copy numbers for microcystis and anabaena in lakes.

Authors:  Jaana Vaitomaa; Anne Rantala; Katrianna Halinen; Leo Rouhiainen; Petra Tallberg; Lena Mokelke; Kaarina Sivonen
Journal:  Appl Environ Microbiol       Date:  2003-12       Impact factor: 4.792

3.  Identification and enumeration of Microcystis using a sandwich hybridization assay.

Authors:  Jing Ping Zhu; Xian Li; Shi Du
Journal:  J Microbiol       Date:  2012-04-27       Impact factor: 3.422

4.  Determination of cyanobacterial diversity during algal blooms in Daechung Reservoir, Korea, on the basis of cpcBA intergenic spacer region analysis.

Authors:  Song-Gun Kim; Sung-Keun Rhee; Chi-Yong Ahn; So-Ra Ko; Gang-Guk Choi; Jin-Woo Bae; Yong-Ha Park; Hee-Mock Oh
Journal:  Appl Environ Microbiol       Date:  2006-05       Impact factor: 4.792

5.  Toxic Microcystis is widespread in Lake Erie: PCR detection of toxin genes and molecular characterization of associated cyanobacterial communities.

Authors:  Anthony J A Ouellette; Sara M Handy; Steven W Wilhelm
Journal:  Microb Ecol       Date:  2006-01-31       Impact factor: 4.552

6.  Experimental Protocol for Detecting Cyanobacteria in Liquid and Solid Samples with an Antibody Microarray Chip.

Authors:  Yolanda Blanco; Mercedes Moreno-Paz; Victor Parro
Journal:  J Vis Exp       Date:  2017-02-07       Impact factor: 1.355

7.  Use of qPCR and RT-qPCR for monitoring variations of microcystin producers and as an early warning system to predict toxin production in an Ohio inland lake.

Authors:  Jingrang Lu; Ian Struewing; Larry Wymer; Daniel R Tettenhorst; Jody Shoemaker; Joel Allen
Journal:  Water Res       Date:  2019-11-15       Impact factor: 11.236

8.  Monitoring changing toxigenicity of a cyanobacterial bloom by molecular methods.

Authors:  Judith A Baker; Barrie Entsch; Brett A Neilan; David B McKay
Journal:  Appl Environ Microbiol       Date:  2002-12       Impact factor: 4.792

9.  A whole-ecosystem experiment reveals flow-induced shifts in a stream community.

Authors:  Daniela Rosero-López; M Todd Walter; Alexander S Flecker; Bert De Bièvre; Rafael Osorio; Dunia González-Zeas; Sophie Cauvy-Fraunié; Olivier Dangles
Journal:  Commun Biol       Date:  2022-05-05
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.