Dr. Michael Lynch requests funds for a 5-year project to investigate the nature and consequences of deleterious mutations. The project is comprised of an empirical component and a theoretical component. Empirical studies are proposed to determine the nature and rate of accumulation of mutations in Daphnia and Escherichia coli. Theoretical analyses of the effects of deleterious mutations on extinction rates will be conducted through computer simulation. The accumulation of spontaneous mutations will be monitored in lines derived from natural populations of Daphnia and maintained as clones. Inbred D. pulex and D. pulicaria lines will be generated by inducing sexual reproduction and self-fertilization through 15 generations, and four clonal replicates will be generated from each line. In order to permit the accumulation of mutations without selective elimination, each culture will be maintained by transferring a single randomly chosen offspring to produce the next generation. Fitness, defined as survival and reproduction through six clutches, will be assayed at 10-generation intervals. The rate of change in fitness and the variance in fitness among lines will be estimated. The nature and effects of the mutations that accumulate will be characterized. Aspects to be analyzed include environmental sensitivity, dominance, epistasis, and magnitude of deleterious effects. Estimates obtained from Dr. Lynch's """"""""four-equation"""""""" method using clones derived directly from natural populations will be compared to comparable estimates obtained from the mutation-accumulation experiments. A second empirical study will continue and expand on-going mutation- accumulation experiments using E. coli. All lines will be passed through a single-cell bottleneck each generation, with representative cells frozen every 25 cycles. Various growth characteristics of each line relative to representatives of the line in the initial cycle will be assayed. Aspects of the accumulated mutations that will be estimated include the distribution of effects on growth parameters, sensitivity to environmental conditions, and epistasis. The experiment will be repeated using growth-inhibiting and growth-enhancing environments in order to explore the effects of stress on the rate of generation and nature of mutations. Another extension involves monitoring strains carrying known deficiencies in repair pathways. Numerical simulations will be conducted to characterize the effects of deleterious mutations on extinction rates under various breeding systems including random mating, obligate asexuality, and obligate self- fertilization. Mutational effects will be allowed to vary according to a specified distribution, which may include beneficial as well as deleterious mutations. The effects of the nature of epistasis (positively or negatively synergistic) on the rate of accumulation will be addressed. Mutations affecting fertility as well as viability will be studied. The effects on extinction rates of variation in population size and reproductive rate due to environmental factors as well as mutations will be explored.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
3R01GM036827-09S1
Application #
6031733
Study Section
Special Emphasis Panel (ZRG2 (04))
Project Start
1989-08-01
Project End
2001-06-30
Budget Start
1998-04-01
Budget End
2001-06-30
Support Year
9
Fiscal Year
1999
Total Cost
Indirect Cost
Name
University of Oregon
Department
Biology
Type
Schools of Arts and Sciences
DUNS #
948117312
City
Eugene
State
OR
Country
United States
Zip Code
97403
Long, Hongan; Sung, Way; Kucukyildirim, Sibel et al. (2018) Evolutionary determinants of genome-wide nucleotide composition. Nat Ecol Evol 2:237-240
Lynch, Michael (2018) Phylogenetic divergence of cell biological features. Elife 7:
Senra, Marcus V X; Sung, Way; Ackerman, Matthew et al. (2018) An Unbiased Genome-Wide View of the Mutation Rate and Spectrum of the Endosymbiotic Bacterium Teredinibacter turnerae. Genome Biol Evol 10:723-730
Long, Hongan; Doak, Thomas G; Lynch, Michael (2018) Limited Mutation-Rate Variation Within the Paramecium aurelia Species Complex. G3 (Bethesda) 8:2523-2526
Long, Hongan; Miller, Samuel F; Williams, Emily et al. (2018) Specificity of the DNA Mismatch Repair System (MMR) and Mutagenesis Bias in Bacteria. Mol Biol Evol 35:2414-2421
Maruki, Takahiro; Lynch, Michael (2017) Genotype Calling from Population-Genomic Sequencing Data. G3 (Bethesda) 7:1393-1404
Dillon, Marcus M; Sung, Way; Sebra, Robert et al. (2017) Genome-Wide Biases in the Rate and Molecular Spectrum of Spontaneous Mutations in Vibrio cholerae and Vibrio fischeri. Mol Biol Evol 34:93-109
Gout, Jean-Francois; Li, Weiyi; Fritsch, Clark et al. (2017) The landscape of transcription errors in eukaryotic cells. Sci Adv 3:e1701484
Tincher, Clayton; Long, Hongan; Behringer, Megan et al. (2017) The Glyphosate-Based Herbicide Roundup Does not Elevate Genome-Wide Mutagenesis of Escherichia coli. G3 (Bethesda) 7:3331-3335
Sun, Ying; Powell, Kate E; Sung, Way et al. (2017) Spontaneous mutations of a model heterotrophic marine bacterium. ISME J 11:1713-1718

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