Fitness is strongly influenced by rare mutations of large effect in a microbial mutation accumulation experiment.
Fitness is strongly influenced by rare mutations of large effect in a microbial mutation accumulation experiment.
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DOI:
10.1534/genetics.114.163147
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发表时间:
2014-07
期刊:
影响因子:
3.3
通讯作者:
MacLean RC
中科院分区:
文献类型:
--
作者:
Heilbron K;Toll-Riera M;Kojadinovic M;MacLean RC
Our understanding of the evolutionary consequences of mutation relies heavily on estimates of the rate and fitness effect of spontaneous mutations generated by mutation accumulation (MA) experiments. We performed a classic MA experiment in which frequent sampling of MA lines was combined with whole genome resequencing to develop a high-resolution picture of the effect of spontaneous mutations in a hypermutator (ΔmutS) strain of the bacterium Pseudomonas aeruginosa. After ∼644 generations of mutation accumulation, MA lines had accumulated an average of 118 mutations, and we found that average fitness across all lines decayed linearly over time. Detailed analyses of the dynamics of fitness change in individual lines revealed that a large fraction of the total decay in fitness (42.3%) was attributable to the fixation of rare, highly deleterious mutations (comprising only 0.5% of fixed mutations). Furthermore, we found that at least 0.64% of mutations were beneficial and probably fixed due to positive selection. The majority of mutations that fixed (82.4%) were base substitutions and we failed to find any signatures of selection on nonsynonymous or intergenic mutations. Short indels made up a much smaller fraction of the mutations that were fixed (17.4%), but we found evidence of strong selection against indels that caused frameshift mutations in coding regions. These results help to quantify the amount of natural selection present in microbial MA experiments and demonstrate that changes in fitness are strongly influenced by rare mutations of large effect.
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影响因子:
3.7
作者:
Jerome JP;Bell JA;Plovanich-Jones AE;Barrick JE;Brown CT;Mansfield LS
通讯作者:
Mansfield LS
DOI:
10.1093/bioinformatics/btr670
发表时间:
2012-02-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Boeva V;Popova T;Bleakley K;Chiche P;Cappo J;Schleiermacher G;Janoueix-Lerosey I;Delattre O;Barillot E
通讯作者:
Barillot E
DOI:
10.1080/09553005914550241
发表时间:
1959-01-01
期刊:
INTERNATIONAL JOURNAL OF RADIATION BIOLOGY AND RELATED STUDIES IN PHYSICS CHEMISTRY AND MEDICINE
影响因子:
--
作者:
BATEMAN, AJ
通讯作者:
BATEMAN, AJ
影响因子:
56.9
作者:
Davies, EK;Peters, AD;Keightley, PD
通讯作者:
Keightley, PD
影响因子:
1.2
作者:
Cingolani, Pablo;Platts, Adrian;Ruden, Douglas M.
通讯作者:
Ruden, Douglas M.