Evidence map›Paper›PMID 25029912›Full record

ArticleBMC biotechnology2014

Screening and genetic characterization of thermo-tolerant Synechocystis sp. PCC6803 strains created by adaptive evolution.

Ulrich M Tillich, Nick Wolter, Philipp Franke, Ulf Dühring, Marcus Frohme

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Article in BMC biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Adaptive Laboratory Evolution inMicroorganisms · 2026
    Review
  2. Isolation ofACS synthetic biology · 2025
    Article
  3. Review
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  7. Article
  8. Review
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  10. Review
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  12. Enhancing (crop) plant photosynthesis by introducing novel genetic diversity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Article
  13. Article
  14. Review
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ulrich M Tillich
Nick Wolter
Philipp Franke
Ulf Dühring
Marcus FrohmeMolecular Biotechnology and Functional Genomics, Technical University of Applied Sciences Wildau, Bahnhofstraße 1, 16-2001, D-15745 Wildau, Germany. mfrohme@th-wildau.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTemperature tolerance is an important aspect for commercial scale outdoor cultivation of microalgae and cyanobacteria. While various genes are known to be related to Synechocystis sp. PCC6803's heat shock response, there is very limited published data concerning the specific genes involved in long term thermal tolerance. We have previously used random mutagenesis and adaptive evolution to generate a mixture of strains of Synechocystis sp. PCC6803 with significantly increased thermal tolerance. The genetic modifications leading to the phenotypes of the newly generated strains are the focus of this work.

resultsWe used a custom screening platform, based on 96-deepwell microplate culturing in an in house designed cultivation chamber integrated in a liquid handling robot for screening and selection; in addition we also used a more conventional system. The increased thermal tolerances of the isolated monoclonal strains were validated in larger bioreactors and their whole genomes sequenced. Comparison of the sequence information to the parental wild type identified various mutations responsible for the enhanced phenotypes. Among the affected genes identified are clpC, pnp, pyk2, sigF, nlpD, pyrR, pilJ and cya1.

conclusionsThe applied methods (random mutagenesis, in vivo selection, screening, validation, whole genome sequencing) were successfully applied to identify various mutations, some of which are very unlikely to have been identified by other approaches. Several of the identified mutations are found in various strains and (due to their distribution) are likely to have occurred independently. This, coupled with the relatively low number of affected genes underscores the significance of these specific mutations to convey thermal tolerance in Synechocystis.

Indexed as

Bacterial ProteinsBiological EvolutionGenome, BacterialHigh-Throughput Nucleotide SequencingMutationPhenotypeSequence Analysis, DNASynechocystisTemperatureBacterial Proteins

Identifiers

PMID25029912
PMCPMC4110520

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.