Evidence map›Paper›PMID 24847077›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Precise estimates of mutation rate and spectrum in yeast.

Yuan O Zhu, Mark L Siegal, David W Hall, Dmitri A Petrov

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 254 papers.

0numbers the graph read from it
0cells of the map it votes in
254citing papers in PubMed
26.6field-weighted citation impact, top 1% 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

254 citing papers in PubMed, 483 citations in OpenAlex.

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194 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Yuan O ZhuDepartment of Genetics, Stanford University, Stanford, CA 94305-5120;Department of Biology, Stanford University, Stanford, CA 94305-5020; yuanzhu@stanford.edu dpetrov@stanford.edu.
Mark L SiegalCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003; and.
David W HallDepartment of Genetics, University of Georgia, Athens, GA 30602-7223.
Dmitri A PetrovDepartment of Biology, Stanford University, Stanford, CA 94305-5020; yuanzhu@stanford.edu dpetrov@stanford.edu.
Stanford University · USNew York University · USUniversity of Georgia · US

Funding

Genomics of rapid adaptation on seasonal timescales in D. melanogasterR01GM100366 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI SCHMIDT, PAUL · 2012 to 2019
$3.3M
Sequencing yeast lines to measure rates of neutral and deleterious mutationsR01GM097415 · NIGMS · NEW YORK UNIVERSITY · PI PETROV, DMITRI, SIEGAL, MARK L · 2011 to 2014
$2.3M
NIGMS NIH HHS R01 GM097415NIGMS NIH HHS R01GM097415NIGMS NIH HHS R01 GM100366NIGMS NIH HHS R01GM100366
6 · The paper itself

Abstract

Mutation is the ultimate source of genetic variation. The most direct and unbiased method of studying spontaneous mutations is via mutation accumulation (MA) lines. Until recently, MA experiments were limited by the cost of sequencing and thus provided us with small numbers of mutational events and therefore imprecise estimates of rates and patterns of mutation. We used whole-genome sequencing to identify nearly 1,000 spontaneous mutation events accumulated over ∼311,000 generations in 145 diploid MA lines of the budding yeast Saccharomyces cerevisiae. MA experiments are usually assumed to have negligible levels of selection, but even mild selection will remove strongly deleterious events. We take advantage of such patterns of selection and show that mutation classes such as indels and aneuploidies (especially monosomies) are proportionately much more likely to contribute mutations of large effect. We also provide conservative estimates of indel, aneuploidy, environment-dependent dominant lethal, and recessive lethal mutation rates. To our knowledge, for the first time in yeast MA data, we identified a sufficiently large number of single-nucleotide mutations to measure context-dependent mutation rates and were able to (i) confirm strong AT bias of mutation in yeast driven by high rate of mutations from C/G to T/A and (ii) detect a higher rate of mutation at C/G nucleotides in two specific contexts consistent with cytosine methylation in S. cerevisiae.

Indexed as

Mutation RateAneuploidyChromosomes, FungalDiploidyGenetic VariationGenome-Wide Association StudyGenomicsINDEL MutationPoint MutationSaccharomyces cerevisiaeSpores, Fungalneighbor-dependent mutation ratestrongly deleterious mutation

Identifiers

PMID24847077
PMCPMC4050626
OpenAlexW1973175445

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.