Acta Univ. Agric. Silvic. Mendelianae Brun. 2019, 67, 1005-1014

https://doi.org/10.11118/actaun201967041005
Published online 2019-08-26

Bacterial Contamination of Plant in vitro Cultures in Commercial Production Detected by High‑Throughput Amplicon Sequencing

Dorota Tekielska1, Eliška Peňázová1, Tamás Kovács2, Břetislav Křižan3, Jana Čechová1, Aleš Eichmeier1

1Mendeleum – Institute of Genetics and Plant Breeding, Faculty of Horticulture, Mendel University in Brno, Valtická 337, 691 44 Lednice, Czech Republic
2Nanophagetherapy Research Institute, Enviroinvest Corporation, Kertváros 2, 7632 Pécs, Hungary
3Vitrotree by Battistini, Bašty 415/6, 602 00 Brno, Czech Republic

Received March 5, 2019
Accepted June 5, 2019

The study overviews results of bacterial incidence in in vitro plant tissue cultures obtained from commercial laboratory dealing with plants micropropagation. For the exploration, the 454 pyrosequencing of the 16S rRNA gene was used. Three samples of plant in vitro cultures with visual bacterial contamination were subjected for identification of present bacteria. Eleven genera as Acinetobacter, Lactobacillus, Methylobacterium, Roseomonas, Microbacterium, Mycobacterium, Curtobacterium, Acidovorax, Magnetospirillum, Chryseobacterium and Ralstonia were detected. Obtained results confirmed the advantages of high‑throughput amplicon sequencing analysis for identification of bacterial communities in contaminated plant in vitro cultures what provides an important information for applying appropriate measures to eliminate bacterial contamination.

Funding

The authors would like to thank Vitrotree by Battistini (Czech Republic), Enviroinvest Corporation ‑ Nanophagetherapy Research Institute (Hungary). This research was supported by the Technology Agency of the Czech Republic, Project No. TJ01000274. Access to computing and storage facilities owned by parties and projects contributing to the National Grid Infrastructure MetaCentrum provided under the program “Projects of Large Research, Development, and Innovations Infrastructures” (CESNET LM2015042) is greatly appreciated. This work was partially supported by project No. QJ1510088 and by the infrastructure obtained from project CZ.02.1.01/0.0/0.0/16_017/ 0002334.

References

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