Data and code for: Changes to the mtDNA copy number during yeast culture growth
Data files
Jan 06, 2026 version files 8.25 GB
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flow_cytometry_data.zip
3.70 MB
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images.zip
112.50 MB
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README.md
6.96 KB
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sequences_main.zip
2.92 GB
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sequences_TableS5.zip
5.22 GB
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sequencing_pipeline.txt
1.11 KB
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timepoints.tsv
621 B
Abstract
We show that the mtDNA copy number in growing cultures of the yeast Saccharomyces cerevisiae increases by a factor of up to 4, being lowest (~10 per haploid genome) and stable during rapid fermentative growth, and highest at the end of the respiratory phase. When yeast are grown on glucose, the onset of the mtDNA copy number increase coincides with the early stages of the diauxic shift, and the increase continues through respiration. A lesser yet still substantial copy number increase occurs when yeast are grown on a nonfermentable carbon source, i.e. when there is no diauxic shift. The mtDNA copy number increase during and for some time after the diauxic shift is not driven by an increase in cell size. The copy number increase occurs in both haploid and diploid strains, but is markedly attenuated in a diploid wild isolate that is a ready sporulator. Strain-to-strain differences in mtDNA copy number are least apparent in fermentation and most apparent in late respiration or stationary phase. While changes in mitochondrial morphology and function were previously known to accompany changes in physiological state, it had not been previously shown that the mtDNA copy number changes substantially over time in a clonal growing culture. The mtDNA copy number in yeast is therefore a highly dynamic phenotype.
Royal Society Open Science, 2022
(https://doi.org/10.1098/rsos.211842)
Author/Principal Investigator Information
Name: Ben Galeota-Sprung
ORCID: 0000-0003-0085-0948
Institution: University of Pennsylvania
Address:
Email: bsprung@gmail.com
SHARING/ACCESS INFORMATION
- Licenses/restrictions placed on the data: None
- Links to publications that cite or use the data: https://doi.org/10.1098/rsos.211842
- Recommended citation for this dataset: https://doi.org/10.1098/rsos.211842
DATA & FILE OVERVIEW
File List
The following files are the raw data for the image-based assessment of cell size over time presented in Fig. S7 C,D,E
images.zip: this archive unpacks to several PNG images named similarly to56.83_B-FL-A.png. The first portion of the file name (e.g. the 56.83)
is the time in hours after transfer. Clusters of cells that were not automatically processed correctly by
CellProfile were removed; when this happened the altered image was saved with the suffix_edited.
The following archive and files are the raw data for the flow cytometry
This is the underlying data for the FSC (forward scatter) and SSC (side scatter) plots shown in Figure 2a and Supplemental Figure 7. The data represents 16 samples taken at between 12.25 and 85.58 hours after culture inoculation. Internally, the 16 timepoints are labelled A,B..P.
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The file
timepoints.tsvmaps these internal labels A,B,..P to their specific timepoints, e.g. A is 12.25 hours and P is 85.6 hours. This file is provided as context for the raw flow cytometry data. The column specification fortimepoints.tsvis as follows:sample: the sample name A..Pclock_time: the datetime of the samplehour: the time in units of hours, of the sampling, relative to culture inoculationfc_vol: the volume of sample, in units of microliters, removed for flow cytometrydna_vol: the volume of sample, in units of microliters, removed for DNA extraction
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flow_cytometry_data.zip: Unpacks to include2021-12-22_at_01-50-58pm.fcs, which is 16 wells of data, with each well being a one of the 16 timepoints shown in Figure 2a. This data was generated by a Guava EasyCyte is in FCS format. It may be viewed with standalone software such as FlowJo, or the open-source R package flowCore which is part of Bioconductor. As an alternative means of access, all the data for each of these wells has also been explored to 16 csv files named2021-12-22_at_01-50-58pm.A01.CSVthrough2021-12-22_at_01-50-58pm.B08.CSV. The column spec for these CSV files is as follows. (Note that only FSC, SSC, and gating columns are relevant as these cells are not fluorescent and also note that values for the FSC, SSC, and the fluorescence channels are in arbitrary units.)FSC-HLin: The FSC height for this observation on a linear scaleSSC-HLin: The SSC height for this observation on a linear scaleGRN-B-HLin:The green fluorescence channel height for this observation on a linear scaleYEL-B-HLin:The green fluorescence channel height for this observation on a linear scaleRED-B-HLin:The green fluorescence channel height for this observation on a linear scaleFSC-W: The FSC width for this observation on a linear scaleFSC-HLog: The FSC height for this observation on a log scaleSSC-HLog: The SSC height for this observation on a log scaleGRN-B-HLog:The green fluorescence channel height for this observation on a log scaleYEL-B-HLog:The green fluorescence channel height for this observation on a log scaleRED-B-HLog:The green fluorescence channel height for this observation on a log scaleFSC-ALog: The FSC area for this observation on a linear scaleFSC-WLog: The FSC width for this observation on a log scaleTIME: The time of the observation in units of microseconds.P01.Cells: A boolean value for a gate that was not used.P01.Yeasties: A boolean value for a gate used to define observations as yeast cells.P01.Yeasties.NotDoublets: A boolean value for a gate used to define observations as yeast cells that were not doublets, as described in the Methods of the associated paper.
In the FCS and csv files, samples A-H are in wells A01..A08 and samples J..P are in wells B01..B08, respectively. The Guava-generated metadata file
2021-12-22_at_01-50-58pm.xmlalso records this mapping, though note that both columns and rows are represented numerically and 0-indexed.
The following archives are the raw short- and long-read sequencing data used in this paper
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sequences_TableS5.zip: This unpacks to includeall sequence data used for Table S5, the correspondence between relative read depth derived from Illumina vs Nanopore reads:File(s) Platform Info BGS3_nanopore.fastq.gzNanopore after 3rd transfer, during fermentation BGS4_nanopore.fastq.gzNanopore after 3rd transfer, during respiration BGS5_S162_R1_001.fastq.gz,BGS5_S162_R1_001.fastq.gzIllumina after 3rd transfer, during fermentation BGS6_S163_R1_001.fastq.gz,BGS6_S163_R2_001.fastq.gzIllumina Illumina reads, after 3rd transfer, during respiration -
sequences_main.zip: This unpacks to include all sequence data used for Fig. 1E (W303 haploid relative copy number over time):Files Platform Time after inoculation (h) BGS7_S90_R1_001.fastq.gz,BGS7_S90_R2_001.fastq.gzIllumina 11.58 BGS9_S92_R1_001.fastq.gz,BGS9_S92_R2_001.fastq.gzIllumina 17 BGS10_S93_R1_001.fastq.gz,BGS10_S93_R1_001.fastq.gzIllumina 23.5 BGS11_S94_R1_001.fastq.gz,BGS11_S94_R2_001.fastq.gzIllumina 35.5 BGS12_S95_R1_001.fastq.gz,BGS12_S95_R2_001.fastq.gzIllumina 65.5
The following files describe the full sequencing pipeline used to process the reads
sequencing_pipeline.txt
- Galeota-Sprung, Ben; Fernandez, Amy; Sniegowski, Paul (2021). Changes to the mtDNA copy number during yeast culture growth [Preprint]. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2021.09.02.458779
