Keyword search (4,163 papers available)

"Kraemer SA" Authored Publications:

Title Authors PubMed ID
1 A multiyear time series (2004-2012) of bacterial and archaeal community dynamics in a changing Arctic Ocean Kraemer SA; Ramachandran A; Onana VE; Li WKW; Walsh DA; 38282643
BIOLOGY
2 Publisher Correction: A genome catalogue of lake bacterial diversity and its drivers at continental scale Garner RE; Kraemer SA; Onana VE; Fradette M; Varin MP; Huot Y; Walsh DA; 37821571
BIOLOGY
3 A genome catalogue of lake bacterial diversity and its drivers at continental scale Garner RE; Kraemer SA; Onana VE; Fradette M; Varin MP; Huot Y; Walsh DA; 37524802
BIOLOGY
4 Geospatial analysis reveals a hotspot of fecal bacteria in Canadian prairie lakes linked to agricultural non-point sources Oliva A; Onana VE; Garner RE; Kraemer SA; Fradette M; Walsh DA; Huot Y; 36653256
BIOLOGY
5 A resistome survey across hundreds of freshwater bacterial communities reveals the impacts of veterinary and human antibiotics use Kraemer SA; Barbosa da Costa N; Oliva A; Huot Y; Walsh DA; 36338036
BIOLOGY
6 Comparing microscopy and DNA metabarcoding techniques for identifying cyanobacteria assemblages across hundreds of lakes MacKeigan PW; Garner RE; Monchamp MÈ; Walsh DA; Onana VE; Kraemer SA; Pick FR; Beisner BE; Agbeti MD; da Costa NB; Shapiro BJ; Gregory-Eaves I; 35287928
BIOLOGY
7 A large-scale assessment of lakes reveals a pervasive signal of land use on bacterial communities. Kraemer SA, Barbosa da Costa N, Shapiro BJ, Fradette M, Huot Y, Walsh DA 32770118
BIOLOGY
8 Antibiotic Pollution in the Environment: From Microbial Ecology to Public Policy. Kraemer SA, Ramachandran A, Perron GG 31234491
BIOLOGY
9 Inferring the distribution of fitness effects of spontaneous mutations in Chlamydomonas reinhardtii. Böndel KB, Kraemer SA, Samuels T, McClean D, Lachapelle J, Ness RW, Colegrave N, Keightley PD 31242179
BIOLOGY

 

Title:Inferring the distribution of fitness effects of spontaneous mutations in Chlamydomonas reinhardtii.
Authors:Böndel KBKraemer SASamuels TMcClean DLachapelle JNess RWColegrave NKeightley PD
Link:https://www.ncbi.nlm.nih.gov/pubmed/31242179?dopt=Abstract
DOI:10.1371/journal.pbio.3000192
Publication:PLoS biology
Keywords:
PMID:31242179 Category:PLoS Biol Date Added:2019-06-27
Dept Affiliation: BIOLOGY
1 Institute of Evolutionary Biology, Ashworth Laboratories, University of Edinburgh, Edinburgh, United Kingdom.
2 Biology Department, Concordia University, Montreal, Quebec, Canada.
3 Institute of Immunology and Infection Research, Ashworth Laboratories, University of Edinburgh, Edinburgh, United Kingdom.
4 Department of Biology, William G. Davis Building, University of Toronto, Mississauga, Canada.

Description:

Inferring the distribution of fitness effects of spontaneous mutations in Chlamydomonas reinhardtii.

PLoS Biol. 2019 Jun 26;17(6):e3000192

Authors: Böndel KB, Kraemer SA, Samuels T, McClean D, Lachapelle J, Ness RW, Colegrave N, Keightley PD

Abstract

Spontaneous mutations are the source of new genetic variation and are thus central to the evolutionary process. In molecular evolution and quantitative genetics, the nature of genetic variation depends critically on the distribution of effects of mutations on fitness and other quantitative traits. Spontaneous mutation accumulation (MA) experiments have been the principal approach for investigating the overall rate of occurrence and cumulative effect of mutations but have not allowed the phenotypic effects of individual mutations to be studied directly. Here, we crossed MA lines of the green alga Chlamydomonas reinhardtii with its unmutated ancestral strain to create haploid recombinant lines, each carrying an average of 50% of the accumulated mutations in a large number of combinations. With the aid of the genome sequences of the MA lines, we inferred the genotypes of the mutations, assayed their growth rate as a measure of fitness, and inferred the distribution of fitness effects (DFE) using a Bayesian mixture model. We infer that the DFE is highly leptokurtic (L-shaped). Of mutations with absolute fitness effects exceeding 1%, about one-sixth increase fitness in the laboratory environment. The inferred distribution of effects for deleterious mutations is consistent with a strong role for nearly neutral evolution. Specifically, such a distribution predicts that nucleotide variation and genetic variation for quantitative traits will be insensitive to change in the effective population size.

PMID: 31242179 [PubMed - as supplied by publisher]





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