Data from: A single episode of sexual reproduction can produce large variation in population growth rates under dual stressors
Data files
Apr 29, 2025 version files 2.20 MB
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All_absorbance.csv
106.70 KB
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CellCount_Absorbance.csv
95 B
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GrowthRate.csv
37.09 KB
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NIES-6465_CNVpattern.csv
1.46 MB
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NIES65_GOterm.Rdata
584.40 KB
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README.md
2.61 KB
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Rscript.R
13.33 KB
Abstract
Sexual reproduction has been a central topic in evolutionary biology because of its many costs: why did organisms evolve sexual reproduction despite the many costs of sex? To answer the question, researchers have conducted laboratory experiments to measure population growth rates with and without sexual reproduction under a stressor. Here we show that a single episode of sexual reproduction can produce a large amount of variation in population growth rates under dual stressors by laboratory experiments of a green alga, Closterium peracerosum–strigosum–littorale complex. We observed population dynamics of the alga under dual stressors and confirmed that high salinity and low pH decreased growth rates. By comparing parental and their hybrid F1 populations, we observed larger variation in growth rates of F1 populations (i.e., transgressive segregation) when pH was low. Interestingly, even when parental populations had negative growth rates, some F1 populations showed positive growth rates in severe environmental conditions due to the large variation in population growth. By utilizing the recently obtained genomic information of the alga, we conducted a gene ontology (GO) enrichment analysis and found that genes with copy number variations between parental strains were more frequently associated with pH stress-related terms than salt stress-related terms. Our results suggest that recombination and variation in the number of gene copies might produce large genetic variation in the F1 generation. This will be an important step toward a better understanding of the evolution of sex and evolutionary rescue where rapid contemporary evolution prevents population extinction in changing environments.
https://doi.org/10.5061/dryad.jq2bvq8m9
Description of the data and file structure
Growth rate data and an analysis script for Closterium psl. complex under multiple stressors
Files and variables
File: All_absorbance.csv
Description: Biomass data for each population under different conditions.
Variable:
- Population: Population names (NIES-64, NIES-65, F1-A, F1-B, F1-C, F1-D, F1-E, F1-F, F1-G or F1-H)
- pH: pH scales of medium conditions
- NaCl: NaCl concentration of medium conditions
- Day: Cultivation date
- Replicate: Replication number
- Absorbance: An absorbance of 684 nm
- Zygospore: Number of zygospores from which each F1 population germinated
- Category: Population categories (NIES-64, NIES-65 or F1)
File: GrowthRate.csv
Description: Growth rate data modeled non-linear least-squares fitting
Variable:
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Population: Population names (NIES-64, NIES-65, F1-A, F1-B, F1-C, F1-D, F1-E, F1-F, F1-G or F1-H)
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pH: pH scales of medium conditions
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NaCl: NaCl concentration of medium conditions
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Replicate: Replication number
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GrowthRate: Growth rate modeled using nonlinear least-squares fitting
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Category: Population categories (NIES-64, NIES-65 or F1)
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Zygospore: Number of zygospores from which each F1 population germinated
Missing data code: NA
File: Rscript.R
Description: An analysis script for calculating growth rates, simulating F1 growth rates from parental ones, and performing Gene Ontology (GO) enrichment analysis.
File: NIES65_GOterm.Rdata
Description: An RData file containing GO terms for NIES-65 peptides.
File: NIES-6465_CNVpattern.csv
Description: A list of genes showing copy number variations between NIES-64 and NIES-65.
Variable:
- OrthologGroup_ID: Ortholog group ID by sonicparanoid
- NIES64_gene: Gene ID from NIES-64 strain
- NIES64_copy: Copy number of the gene from NIES-64 strain
- NIES65_gene: Gene ID from NIES-65 strain
- NIES65_copy: Copy number of the gene from NIES-65 strain
- CNV: Copy number variation patterns of NIES-64 and NIES-65
File: CellCount_Absorbance.csv
Description: This file contains the relationship between cell count and absorbance (OD) measurements.
Variable:
- CellCount: Number of cells by eye under a microscope
- Absorbance: An absorbance of 684 nm
Access information
Data was derived from the following sources:
- NCBI BioProject: PRJEB57781
