Literature DB >> 34146137

Comparison of various approaches to detect algal culture contamination: a case study of Chlorella sp. contamination in a Phaeodactylum tricornutum culture.

Tomáš Grivalský1, Antonín Střížek2,3, Pavel Přibyl4, Jaromír Lukavský4, Radim Čegan5, Roman Hobza5, Pavel Hrouzek2.   

Abstract

Microalgal contamination in algal culture is a serious problem hampering the cultivation process, which can result in considerable economic and time losses. With the field of microalgal biotechnology on the rise, development of new tools for monitoring the cultures is of high importance. Here we present a case study of the detection of fast-growing green algae Chlorella vulgaris (as contaminant) in a diatom Phaeodactylum tricornutum culture using various approaches. We prepared mixed cultures of C. vulgaris and P. tricornutum in different cell-to-cell ratios in the range from 1:103 to 1:107. We compared the sensitivity among microscopy, cultivation-based technique, PCR, and qPCR. The detection of C. vulgaris contamination using light microscopy failed in samples containing cell ratios <1:105. Our results confirmed PCR/qPCR to provide the most reliable and sensitive results, with detection sensitivity close to 75 cells/mL. The method was similarly sensitive in a pure C. vulgaris culture as well as in a mixed culture containing 107-times more P. tricornutum cells. A next-generation sequencing analysis revealed a positive discrimination of C. vulgaris during DNA extraction. The method of cultivation media exchange from sea water to fresh water, preferred by the Chlorella contaminant, demonstrated a presence of the contaminant with a sensitivity comparable to PCR approaches, albeit with a much longer detection time. The results suggest that a qPCR/PCR-based approach is the best choice for an early warning in the commercial culturing of microalgae. This method can be conveniently complemented with the substitution-cultivation method to test the proliferating potential of the contaminant. KEY POINTS: • PCR-based protocol developed for detection of Chlorella cells. • Synergy of various approaches shows deeper insight into a presence of contaminants. • Positive/negative discrimination occurs during DNA extraction in mixed cultures. • Newly developed assays ready to use as in diagnostics of contamination.

Entities:  

Keywords:  Chlorella; Contamination detection; Methods; Microalgae; Phaeodactylum tricornutum

Year:  2021        PMID: 34146137     DOI: 10.1007/s00253-021-11396-7

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  9 in total

1.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

Review 2.  The contamination and control of biological pollutants in mass cultivation of microalgae.

Authors:  Hui Wang; Wei Zhang; Lin Chen; Junfeng Wang; Tianzhong Liu
Journal:  Bioresour Technol       Date:  2012-11-07       Impact factor: 9.642

3.  QUAST: quality assessment tool for genome assemblies.

Authors:  Alexey Gurevich; Vladislav Saveliev; Nikolay Vyahhi; Glenn Tesler
Journal:  Bioinformatics       Date:  2013-02-19       Impact factor: 6.937

4.  Growth and division of some unicellular blue-green algae.

Authors:  M M Allen; R Y Stanier
Journal:  J Gen Microbiol       Date:  1968-04

5.  Effect of salt type and concentration on the growth and lipid content of Chlorella vulgaris in synthetic saline wastewater for biofuel production.

Authors:  Jared Church; Jae-Hoon Hwang; Keug-Tae Kim; Rebecca McLean; You-Kwan Oh; Bora Nam; Jin Chul Joo; Woo Hyoung Lee
Journal:  Bioresour Technol       Date:  2017-06-17       Impact factor: 9.642

6.  Early detection of protozoan grazers in algal biofuel cultures.

Authors:  John G Day; Naomi J Thomas; Undine E M Achilles-Day; Raymond J G Leakey
Journal:  Bioresour Technol       Date:  2012-03-14       Impact factor: 9.642

7.  Characterization of Amoeboaphelidium protococcarum, an algal parasite new to the cryptomycota isolated from an outdoor algal pond used for the production of biofuel.

Authors:  Peter M Letcher; Salvador Lopez; Robert Schmieder; Philip A Lee; Craig Behnke; Martha J Powell; Robert C McBride
Journal:  PLoS One       Date:  2013-02-20       Impact factor: 3.240

8.  Assessing contamination of microalgal astaxanthin producer Haematococcus cultures with high-resolution melting curve analysis.

Authors:  Adam Dawidziuk; Delfina Popiel; Magda Luboinska; Michal Grzebyk; Maciej Wisniewski; Grzegorz Koczyk
Journal:  J Appl Genet       Date:  2016-11-26       Impact factor: 3.240

9.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

  9 in total

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