COMBINING IMAGING FLOW CYTOMETRY AND MOLECULAR BIOLOGICAL METHODS TO REVEAL PRESENCE OF POTENTIALLY TOXIC ALGAE AT THE URAL RIVER IN KAZAKHSTAN

dc.contributor.authorMirasbekov, Yersultan
dc.contributor.authorAbdimanova, Aigerim
dc.contributor.authorSarkytbayev, Kuanysh
dc.contributor.authorSamarkhanov, Kanat
dc.contributor.authorAbilkas, Aidyn
dc.contributor.authorPotashnikova, Daria
dc.contributor.authorArbuz, Galina
dc.contributor.authorIssayev, Zhanpeis
dc.contributor.authorVorobjev, Ivan A.
dc.contributor.authorMalashenkov, Dmitry V.
dc.contributor.authorBarteneva, Natasha S.
dc.date.accessioned2021-11-18T09:08:47Z
dc.date.available2021-11-18T09:08:47Z
dc.date.issued2021-07-21
dc.description.abstractAlgal blooms occur in freshwater bodies throughout the world, often leading to fish kills. Cases of these kills along the Ural River were reported in 2018–2019, involving significant amount of sturgeon in fish farming areas. In this study, the analysis of algal samples from the delta of the Ural River up to 100 km inland was carried out from August to December 2019 using imaging flow cytometry (IFC), molecular biological, and microscopic techniques. We identified the filamentous cyanobacteria Cuspidothrix issatschenkoi, Dolichospermum cf. flos-aquae, Dolichospermum cf. macrosporum, Pseudanabaena limnetica, and Planktothrix spp. as the dominant potentially toxic phytoplankton species, and we also found minor quantities of Cylindrospermopsis raciborskii. For the first time, molecular phylogenetic investigations of field clones of cyanobacteria from Ural River were carried out to establish the taxa of the dominant species and to identify the presence of genes encoding toxins. The complementary analysis with nanopore-based next-generation sequencing overlapped with the results of IFC and was instrumental in revealing minor cyanobacteria taxa. Real-time PCR analysis and sequencing indicated the presence of Microcystis and ADA-clade spp. as well as genes associated with the production of microcystin (mcyE) and the algal neurotoxin saxitoxin (sxtA) originating from cyanobacteria. These findings suggest that toxin-producing cyanobacteria could become a threat in the Ural River near Atyrau, which can significantly affect aquaculture in the region.en_US
dc.identifier.citationMirasbekov, Y., Abdimanova, A., Sarkytbayev, K., Samarkhanov, K., Abilkas, A., Potashnikova, D., Arbuz, G., Issayev, Z., Vorobjev, I. A., Malashenkov, D. V., & Barteneva, N. S. (2021). Combining Imaging Flow Cytometry and Molecular Biological Methods to Reveal Presence of Potentially Toxic Algae at the Ural River in Kazakhstan. In Frontiers in Marine Science (Vol. 8). Frontiers Media SA. https://doi.org/10.3389/fmars.2021.680482en_US
dc.identifier.issn2296-7745
dc.identifier.urihttps://www.frontiersin.org/articles/10.3389/fmars.2021.680482/full
dc.identifier.urihttps://doi.org/10.3389/fmars.2021.680482
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/5898
dc.language.isoenen_US
dc.publisherFrontiers Media S.A.en_US
dc.relation.ispartofseriesFront. Mar. Sci.;21 July 2021 | https://doi.org/10.3389/fmars.2021.680482
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectcyanobacteriaen_US
dc.subjectCylindrospermopsis raciborskiien_US
dc.subjectimaging flow cytometryen_US
dc.subjectMinIONen_US
dc.subjectnext-generation sequencingen_US
dc.subjectreal-time PCRen_US
dc.subjectsatellite data analysisen_US
dc.subjecttoxic algaeen_US
dc.subjectType of access: Open Accessen_US
dc.titleCOMBINING IMAGING FLOW CYTOMETRY AND MOLECULAR BIOLOGICAL METHODS TO REVEAL PRESENCE OF POTENTIALLY TOXIC ALGAE AT THE URAL RIVER IN KAZAKHSTANen_US
dc.typeArticleen_US
workflow.import.sourcescience

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Article 5.pdf
Size:
10.64 MB
Format:
Adobe Portable Document Format
Description:
Article
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
6.28 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections