Evidence map›Paper›PMID 34849876›Full record

ArticleGenetics2021

Precise measurement of the fitness effects of spontaneous mutations by droplet digital PCR in Burkholderia cenocepacia.

Anita Rana, David Patton, Nathan T Turner, Marcus M Dillon, Vaughn S Cooper, Way Sung

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 2 countries.

Anita RanaDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.ORCID 0000-0002-5898-3084
David PattonDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.ORCID 0000-0003-2270-3113
Nathan T TurnerDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Marcus M DillonDepartment of Cell and Systems Biology, University of Toronto, Toronto, Ontario M5S3B2, Canada.ORCID 0000-0001-8559-8782
Vaughn S CooperDepartment of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15219, USA.ORCID 0000-0001-7726-0765
Way SungDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.ORCID 0000-0002-8336-8913
University of North Carolina at Charlotte · USUniversity of Pittsburgh · USUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how mutations affect survivability is a key component to knowing how organisms and complex traits evolve. However, most mutations have a minor effect on fitness and these effects are difficult to resolve using traditional molecular techniques. Therefore, there is a dire need for more accurate and precise fitness measurements methods. Here, we measured the fitness effects in Burkholderia cenocepacia HI2424 mutation accumulation (MA) lines using droplet-digital polymerase chain reaction (ddPCR). Overall, the fitness measurements from ddPCR-MA are correlated positively with fitness measurements derived from traditional phenotypic marker assays (r = 0.297, P = 0.05), but showed some differences. First, ddPCR had significantly lower measurement variance in fitness (F = 3.78, P < 2.6 × 10-13) in control experiments. Second, the mean fitness from ddPCR-MA measurements were significantly lower than phenotypic marker assays (-0.0041 vs -0.0071, P = 0.006). Consistent with phenotypic marker assays, ddPCR-MA measurements observed multiple (27/43) lineages that significantly deviated from mean fitness, suggesting that a majority of the mutations are neutral or slightly deleterious and intermixed with a few mutations that have extremely large effects. Of these mutations, we found a significant excess of mutations within DNA excinuclease and Lys R transcriptional regulators that have extreme deleterious and beneficial effects, indicating that modifications to transcription and replication may have a strong effect on organismal fitness. This study demonstrates the power of ddPCR as a ubiquitous method for high-throughput fitness measurements in both DNA- and RNA-based organisms regardless of cell type or physiology.

Indexed as

Genetic FitnessMutation AccumulationBurkholderia cenocepaciaMutation RatePhenotypePolymerase Chain ReactionBurkholderia cenocepaciadroplet digital polymerase chain reactionfitness effects of mutationsmutation accumulation

Identifiers

PMID34849876
PMCPMC8633095
OpenAlexW3193632300

What OpenQuestion holds

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Registered trials

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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.