Evidence map›Paper›PMID 36303154›Full record

ArticleBMC biology2022

Genetic mechanisms underlying increased microalgal thermotolerance, maximal growth rate, and yield on light following adaptive laboratory evolution.

Robin Barten, Dirk-Jan M van Workum, Emma de Bakker, Judith Risse, Michelle Kleisman, Sofia Navalho, Sandra Smit, Rene H Wijffels, Harm Nijveen, Maria J Barbosa

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 29 citations in OpenAlex.

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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

10 authors at 2 institutions in 2 countries.

Robin BartenBioprocess Engineering & AlgaePARC, Wageningen University and Research, PO Box 16, Wageningen, 6700 AA, The Netherlands. robin.barten@wur.nl.ORCID 0000-0002-2695-9987
Dirk-Jan M van WorkumBioinformatics Group, Wageningen University and Research, PO Box 633, Wageningen, 6700 AP, The Netherlands.
Emma de BakkerBioprocess Engineering & AlgaePARC, Wageningen University and Research, PO Box 16, Wageningen, 6700 AA, The Netherlands.
Judith RisseBioinformatics Group, Wageningen University and Research, PO Box 633, Wageningen, 6700 AP, The Netherlands.
Michelle KleismanBioinformatics Group, Wageningen University and Research, PO Box 633, Wageningen, 6700 AP, The Netherlands.
Sofia NavalhoBioprocess Engineering & AlgaePARC, Wageningen University and Research, PO Box 16, Wageningen, 6700 AA, The Netherlands.
Sandra SmitBioinformatics Group, Wageningen University and Research, PO Box 633, Wageningen, 6700 AP, The Netherlands.
Rene H WijffelsBioprocess Engineering & AlgaePARC, Wageningen University and Research, PO Box 16, Wageningen, 6700 AA, The Netherlands.
Harm NijveenBioinformatics Group, Wageningen University and Research, PO Box 633, Wageningen, 6700 AP, The Netherlands.
Maria J BarbosaBioprocess Engineering & AlgaePARC, Wageningen University and Research, PO Box 16, Wageningen, 6700 AA, The Netherlands.
Wageningen University & Research · NLNord University · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdaptive laboratory evolution (ALE) is a powerful method for strain optimization towards abiotic stress factors and for identifying adaptation mechanisms. In this study, the green microalga Picochlorum sp. BPE23 was cultured under supra-optimal temperature to force genetic adaptation. The robustness and adaptive capacity of Picochlorum strains turned them into an emerging model for evolutionary studies on abiotic stressors such as temperature, salinity, and light.

resultsMutant strains showed an expanded maximal growth temperature of 44.6 °C, whereas the maximal growth temperature of the wild-type strain was 42 °C. Moreover, at the optimal growth temperature of 38 °C, the biomass yield on light was 22.3% higher, and the maximal growth rate was 70.5% higher than the wild type. Genome sequencing and transcriptome analysis were performed to elucidate the mechanisms behind the improved phenotype. A de novo assembled phased reference genome allowed the identification of 21 genic mutations involved in various processes. Moreover, approximately half of the genome contigs were found to be duplicated or even triplicated in all mutants, suggesting a causal role in adaptation.

conclusionsThe developed tools and mutant strains provide a strong framework from whereupon Picochlorum sp. BPE23 can be further developed. Moreover, the extensive strain characterization provides evidence of how microalgae evolve to supra-optimal temperature and to photobioreactor growth conditions. With this study, microalgal evolutionary mechanisms were identified by combining ALE with genome sequencing.

Indexed as

ChlorophytaMicroalgaeThermotoleranceBiomassSalinityAdaptive laboratory evolutionCopy number variationGenome assemblyMicroalgaePhotobioreactorPicochlorumTemperatureTranscriptomicsVariant calling

Identifiers

PMID36303154
PMCPMC9615354
OpenAlexW4308186177

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.