scholarly journals Selection bias in mutation accumulation

2021 ◽  
Author(s):  
Lindi M Wahl ◽  
Deepa Agashe
Keyword(s):  
Positive Selection ◽  
Negative Selection ◽  
De Novo ◽  
Mutation Accumulation ◽  
Microbial Populations ◽  
Single Individual ◽  
Deleterious Mutations ◽  
De Novo Mutations ◽  
Fitness Effects ◽  
Wide Range

Mutation accumulation (MA) experiments, in which de novo mutations are sampled and subsequently characterized, are an essential tool in understanding the processes underlying evolution. In microbial populations, MA protocols typically involve a period of population growth between severe bottlenecks, such that a single individual can form a visible colony. While it has long been appreciated that the action of positive selection during this growth phase cannot be eliminated, it is typically assumed to be negligible. Here, we quantify the effect of both positive and negative selection in MA studies, demonstrating that selective effects can substantially bias the distribution of fitness effects (DFE) and mutation rates estimated from typical MA protocols in microbes. We then present a simple correction for this bias which applies to both beneficial and deleterious mutations, and can be used to correct the observed DFE in multiple environments. Finally, we use simulated MA experiments to illustrate the extent to which the MA-inferred DFE differs from the underlying true DFE, and demonstrate that the proposed correction accurately reconstructs the true DFE over a wide range of scenarios. These results highlight that positive selection during microbial MA experiments is in fact not negligible, but can be corrected to gain a more accurate understanding of fundamental evolutionary parameters.

scholarly journals Spontaneous rate of clonal mutations in Daphnia galeata

2020 ◽  
Author(s):  
Markus Pfenninger ◽  
Halina Binde Doria ◽  
Jana Nickel ◽  
Anne Thielsch ◽  
Klaus Schwenk ◽  
...  
Keyword(s):  
Mutation Rate ◽  
De Novo ◽  
Mutation Accumulation ◽  
Parental Genotype ◽  
De Novo Mutations ◽  
Daphnia Galeata ◽  
Short Term ◽  
Heritable Variation ◽  
Nucleotide Mutation ◽  
Ultimate Source

AbstractMutations are the ultimate source of heritable variation and therefore the fuel for evolution, but direct estimates exist only for few species. We estimated the spontaneous nucleotide mutation rate among clonal generations in the waterflea Daphnia galeata with a short term mutation accumulation approach. Individuals from eighteen mutation accumulation lines over five generations were deep genome sequenced to count de novo mutations that were not present in a pool of F1 individuals, representing the parental genotype. We identified 12 new nucleotide mutations in 90 clonal generational passages. This resulted in an estimated haploid mutation rate of 0.745 x 10-9 (95% c.f. 0.39 x 10-9 − 1.26 x 10-9), which is slightly lower than recent estimates for other Daphnia species. We discuss the implications for the population genetics of Cladocerans.

scholarly journals Soft sweeps predominate recent positive selection in bonobos (Pan paniscus) and chimpanzees (Pan troglodytes)

2020 ◽  
Author(s):  
Colin M Brand ◽  
Frances J White ◽  
Nelson Ting ◽  
Timothy H Webster
Keyword(s):  
Positive Selection ◽  
De Novo ◽  
Pan Paniscus ◽  
Novel Mutation ◽  
Simulated Data ◽  
Supervised Machine Learning ◽  
De Novo Mutation ◽  
De Novo Mutations ◽  
Recent Positive Selection ◽  
Neural Network Classifiers

Two modes of positive selection have been recognized: 1) hard sweeps that result in the rapid fixation of a beneficial allele typically from a de novo mutation and 2) soft sweeps that are characterized by intermediate frequencies of at least two haplotypes that stem from standing genetic variation or recurrent de novo mutations. While many populations exhibit both hard and soft sweeps throughout the genome, there is increasing evidence that soft sweeps, rather than hard sweeps, are the predominant mode of adaptation in many species, including humans. Here, we use a supervised machine learning approach to assess the extent of hard and soft sweeps in the closest living relatives of humans: bonobos and chimpanzees (genus Pan). We trained convolutional neural network classifiers using simulated data and applied these classifiers to population genomic data for 71 individuals representing all five extant Pan lineages, of which we successfully analyzed 60 individuals from four lineages. We found that recent adaptation in Pan is largely the result of soft sweeps, ranging from 73.1 to 97.7% of all identified sweeps. While few hard sweeps were shared among lineages, we found that between 19 and 267 soft sweep windows were shared by at least two lineages. We also identify novel candidate genes subject to recent positive selection. This study emphasizes the importance of shifts in the physical and social environment, rather than novel mutation, in shaping recent adaptations in bonobos and chimpanzees.

scholarly journals Most cancers carry a substantial deleterious load due to Hill-Robertson interference

2019 ◽  
Author(s):  
Susanne Tilk ◽  
Christina Curtis ◽  
Dmitri A Petrov ◽  
Christopher D McFarland
Keyword(s):  
Positive Selection ◽  
Negative Selection ◽  
Selection Model ◽  
Fitness Cost ◽  
Deleterious Mutations ◽  
Weak Selection ◽  
Selective Pressures ◽  
Mutational Burden ◽  
Genome Wide ◽  
Average Fitness

AbstractCancer genomes exhibit surprisingly weak signatures of negative selection1,2. This may be because tumors evolve under weak selective pressures (‘weak selection’) or because genome-wide linkage in cancer prevents most deleterious mutations from being removed due to Hill-Robertson interference3 (‘inefficient selection’). The weak selection model argues that most genes are only important for multicellular function and that selection acts only on a subset of essential genes. In contrast, the inefficient selection model predicts that only cancers with low mutational burdens, where linkage effects are minimal, will exhibit strong signals of negative selection against deleterious passengers and positive selection for beneficial drivers. We leverage the 10,000-fold variation in mutational burden across cancer subtypes to stratify tumors by their genome-wide mutational burden and used a normalized ratio of nonsynonymous to synonymous substitutions (dN/dS) to quantify the extent that selection varies with mutation rate. We find that appreciable negative selection (dN/dS ~ 0.4) is present in tumors with a low mutational burden, while the remaining cancers (96%) exhibit dN/dS ratios approaching 1, suggesting that the majority of tumors do not remove deleterious passengers. A parallel pattern is seen in drivers, where positive selection attenuates as the mutational burden of cancers increases. Both trends persist across tumor-types, are not exclusive to essential or housekeeping genes, are present in clonal and subclonal mutations, and persist in Copy Number Alterations. A consequence of this inability to remove deleterious passengers is that tumors with elevated mutational burdens, which are expected to harbor substantial protein folding stress, upregulate heat shock pathways. Finally, using evolutionary modeling, we find that Hill-Robertson interference alone can reproduce the patterns of attenuated selection observed in both drivers and passengers if the average fitness cost of passengers is 1.0% and the average fitness benefit of drivers is 19%. As a result, despite the weak individual fitness effects of passengers, most cancers harbor a large mutational load (median ~40% total fitness cost). Collectively, our findings suggest that the lack of observed negative selection in most tumors is not due to relaxed selective pressures, but rather the inability of selection to remove individual deleterious mutations in the presence of genome-wide linkage.

Alport Syndrome: a comprehensive review on genetics, pathophysiology, histology, clinical, and therapeutic perspectives

2021 ◽  
Vol 28 ◽  
Author(s):  
Ana Luisa Pedrosa ◽  
Letícia Bitencourt ◽  
Rafaela Moreira Paranhos ◽  
Cristiana Afonso Leitão ◽  
Guilherme Costa Ferreira ◽  
...  
Keyword(s):  
Alport Syndrome ◽  
De Novo ◽  
Lysyl Oxidase ◽  
Clinical Investigation ◽  
Clinical Manifestations ◽  
Basement Membranes ◽  
De Novo Mutations ◽  
Vascular Abnormalities ◽  
Wide Range ◽  
Novel Therapeutic

Background: Alport syndrome (AS) is a disease caused by mutations in COL4A3, COL4A4 or COL4A5, the genes that encode distinct chains of type IV collagen. The vast majority of cases presents as an inherited disorder, although de novo mutations are present in around 10% of the cases. Methods: This non-systematic review summarizes recent evidence on AS. We discuss the genetic and pathophysiology of AS, clinical manifestations, histopathology, diagnostic protocols, conventional treatment and prognostic markers of the disease. In addition, we summarize experimental findings with novel therapeutic perspectives for AS. Results: The deficient synthesis of collagen heterotrimers throughout the organism leads to impaired basement membranes (BM) in several organs. As a result, the disease manifests in a wide range of conditions, particularly renal, ocular and auricular alterations. Moreover, leiomyomatosis and vascular abnormalities may also be present as atypical presentations. In this framework, diagnosis can be performed based on clinical evaluation, skin or renal biopsy and genetic screening, the latter being the gold standard. There are no formally approved treatments for AS, even though therapeutic options have been described to delay disease progression and increase life expectancy. Novel therapeutic targets under pre-clinical investigation included paricalcitol, sodium-glucose co-transporter-2 inhibitors, bardoxolone methyl, anti-microRNA-21 oligonucleotides, recombinant human pentraxin-2, lysyl oxidase-like-2 blockers, hydroxypropyl-b-cyclodextrin, sodium 4- phenylbutyrate and stem cell therapy. Conclusion: AS is still a greatly under and misdiagnosed disorder. The pathophysiology is still not fully unnderstand and genetics of the disease have also some gaps. Up to know, there is no specific and effective treatment for AS. Further studies are necessary to establish novel and effective therapeutic protocols.

scholarly journals Large, three-generation human families reveal post-zygotic mosaicism and variability in germline mutation accumulation

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Thomas A Sasani ◽  
Brent S Pedersen ◽  
Ziyue Gao ◽  
Lisa Baird ◽  
Molly Przeworski ◽  
...  
Keyword(s):  
Germline Mutation ◽  
De Novo ◽  
Primordial Germ Cell ◽  
Mutation Accumulation ◽  
Sequencing Data ◽  
De Novo Mutations ◽  
Cell Specification ◽  
Mutational Spectra ◽  
Germ Cell Specification ◽  
Human Gametes

The number of de novo mutations (DNMs) found in an offspring's genome increases with both paternal and maternal age. But does the rate of mutation accumulation in human gametes differ across families? Using sequencing data from 33 large, three-generation CEPH families, we observed significant variability in parental age effects on DNM counts across families, ranging from 0.19 to 3.24 DNMs per year. Additionally, we found that ~3% of DNMs originated following primordial germ cell specification in a parent, and differed from non-mosaic germline DNMs in their mutational spectra. We also discovered that nearly 10% of candidate DNMs in the second generation were post-zygotic, and present in both somatic and germ cells; these gonosomal mutations occurred at equivalent frequencies on both parental haplotypes. Our results demonstrate that rates of germline mutation accumulation vary among families with similar ancestry, and confirm that post-zygotic mosaicism is a substantial source of human DNM.

scholarly journals Systematic analysis of exonic germline and postzygotic de novo mutations in bipolar disorder

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Masaki Nishioka ◽  
An-a Kazuno ◽  
Takumi Nakamura ◽  
Naomi Sakai ◽  
Takashi Hayama ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Developmental Disorder ◽  
De Novo ◽  
Deleterious Mutations ◽  
Loss Of Function ◽  
Sequencing Data ◽  
De Novo Mutations ◽  
Significant Enrichment ◽  
Postzygotic Mutations ◽  
Depressive Episodes

AbstractBipolar disorder is a severe mental illness characterized by recurrent manic and depressive episodes. To better understand its genetic architecture, we analyze ultra-rare de novo mutations in 354 trios with bipolar disorder. For germline de novo mutations, we find significant enrichment of loss-of-function mutations in constrained genes (corrected-P = 0.0410) and deleterious mutations in presynaptic active zone genes (FDR = 0.0415). An analysis integrating single-cell RNA-sequencing data identifies a subset of excitatory neurons preferentially expressing the genes hit by deleterious mutations, which are also characterized by high expression of developmental disorder genes. In the analysis of postzygotic mutations, we observe significant enrichment of deleterious ones in developmental disorder genes (P = 0.00135), including the SRCAP gene mutated in two unrelated probands. These data collectively indicate the contributions of both germline and postzygotic mutations to the risk of bipolar disorder, supporting the hypothesis that postzygotic mutations of developmental disorder genes may contribute to bipolar disorder.

scholarly journals Most cancers carry a substantial deleterious load due to Hill-Robertson interference

2020 ◽  
Author(s):  
Christopher McFarland ◽  
Susanne Tilk ◽  
Christina Curtis ◽  
Dmitri Petrov
Keyword(s):  
Positive Selection ◽  
Negative Selection ◽  
Selection Model ◽  
Fitness Cost ◽  
Deleterious Mutations ◽  
Weak Selection ◽  
Selective Pressures ◽  
Mutational Burden ◽  
Genome Wide ◽  
Average Fitness

Abstract Cancer genomes exhibit surprisingly weak signatures of negative selection. This may be because tumors evolve under weak selective pressures (‘weak selection’) or because genome-wide linkage in cancer prevents most deleterious mutations from being removed due to Hill-Robertson interference3 (‘inefficient selection’). The weak selection model argues that most genes are only important for multicellular function and that selection acts only on a subset of essential genes. In contrast, the inefficient selection model predicts that only cancers with low mutational burdens, where linkage effects are minimal, will exhibit strong signals of negative selection against deleterious passengers and positive selection for beneficial drivers. We leverage the 10,000-fold variation in mutational burden across cancer subtypes to stratify tumors by their genome-wide mutational burden and used a normalized ratio of nonsynonymous to synonymous substitutions (dN/dS) to quantify the extent that selection varies with mutation rate. We find that appreciable negative selection (dN/dS ~ 0.4) is present in tumors with a low mutational burden, while the remaining cancers (96%) exhibit dN/dS ratios approaching 1, suggesting that the majority of tumors do not remove deleterious passengers. A parallel pattern is seen in drivers, where positive selection attenuates as the mutational burden of cancers increases. Both trends persist across tumor-types, are not exclusive to essential or housekeeping genes, are present in clonal and subclonal mutations, and persist in Copy Number Alterations. A consequence of this inability to remove deleterious passengers is that tumors with elevated mutational burdens, which are expected to harbor substantial protein folding stress, upregulate heat shock pathways. Finally, using evolutionary modeling, we find that Hill-Robertson interference alone can reproduce the patterns of attenuated selection observed in both drivers and passengers if the average fitness cost of passengers is 1.0% and the average fitness benefit of drivers is 19%. As a result, despite the weak individual fitness effects of passengers, most cancers harbor a large mutational load (median ~40% total fitness cost). Collectively, our findings suggest that the lack of observed negative selection in most tumors is not due to relaxed selective pressures, but rather the inability of selection to remove individual deleterious mutations in the presence of genome-wide linkage.

scholarly journals De Novo Mutation and Rapid Protein (Co-)evolution during Meiotic Adaptation in Arabidopsis arenosa

2021 ◽  
Author(s):  
Magdalena Bohutínská ◽  
Vinzenz Handrick ◽  
Levi Yant ◽  
Roswitha Schmickl ◽  
Filip Kolář ◽  
...  
Keyword(s):  
Amino Acid ◽  
Positive Selection ◽  
De Novo ◽  
Empirical Studies ◽  
De Novo Mutation ◽  
Rapid Adaptation ◽  
De Novo Mutations ◽  
Standing Variation ◽  
Arabidopsis Arenosa ◽  
Meiosis Genes

Abstract A sudden shift in environment or cellular context necessitates rapid adaptation. A dramatic example is genome duplication, which leads to polyploidy. In such situations, the waiting time for new mutations might be prohibitive; theoretical and empirical studies suggest that rapid adaptation will largely rely on standing variation already present in source populations. Here, we investigate the evolution of meiosis proteins in Arabidopsis arenosa, some of which were previously implicated in adaptation to polyploidy, and in a diploid, habitat. A striking and unexplained feature of prior results was the large number of amino acid changes in multiple interacting proteins, especially in the relatively young tetraploid. Here, we investigate whether selection on meiosis genes is found in other lineages, how the polyploid may have accumulated so many differences, and whether derived variants were selected from standing variation. We use a range-wide sample of 145 resequenced genomes of diploid and tetraploid A. arenosa, with new genome assemblies. We confirmed signals of positive selection in the polyploid and diploid lineages they were previously reported in and find additional meiosis genes with evidence of selection. We show that the polyploid lineage stands out both qualitatively and quantitatively. Compared with diploids, meiosis proteins in the polyploid have more amino acid changes and a higher proportion affecting more strongly conserved sites. We find evidence that in tetraploids, positive selection may have commonly acted on de novo mutations. Several tests provide hints that coevolution, and in some cases, multinucleotide mutations, might contribute to rapid accumulation of changes in meiotic proteins.

scholarly journals Large, three-generation CEPH families reveal post-zygotic mosaicism and variability in germline mutation accumulation

2019 ◽  
Author(s):  
Thomas A. Sasani ◽  
Brent S. Pedersen ◽  
Ziyue Gao ◽  
Lisa Baird ◽  
Molly Przeworski ◽  
...  
Keyword(s):  
Germ Cell ◽  
Germline Mutation ◽  
De Novo ◽  
Primordial Germ Cell ◽  
Mutation Accumulation ◽  
De Novo Mutations ◽  
Cell Specification ◽  
Mutational Spectra ◽  
Germ Cell Specification ◽  
Data Files

AbstractThe number of de novo mutations (DNMs) found in an offspring’s genome is known to increase with both paternal and maternal age. But does the rate of mutation accumulation in parental gametes differ across families? To answer this question, we analyzed DNMs in 33 large, three-generation families collected in Utah by the Centre d’Etude du Polymorphisme Humain (CEPH) consortium. We observed significant variability in parental age effects on DNM counts across families, ranging from 0.24 to 3.33 additional DNMs per year. Using up to 14 grandchildren in these families, we find that 3% of DNMs originated following primordial germ cell specification (PGCS) in a parent, and differ from non-mosaic germline DNMs in their mutational spectra. We also identify a median of 3 gonosomal mutations per sample in the F1 generation, which, along with post-PGCS DNMs, occur at equivalent frequencies on the paternal and maternal haplotypes. These results demonstrate that the rate of germline mutation accumulation varies among families with similar ancestry, and confirm that parental mosaicism is a substantial source of de novo mutations in children.Data and code availabilityCode used for statistical analysis and figure generation has been deposited on GitHub as a collection of annotated Jupyter Notebooks: https://github.com/quinlan-lab/ceph-dnm-manuscript. Data files containing germline de novo mutations, as well as the gonosomal and post-primordial germ cell specification (PGCS) mosaic mutations, are included with these Notebooks. To mitigate compatibility/version issues, we have also made all notebooks available in a Binder environment, accessible at the above GitHub repository.

scholarly journals Mutation bias reflects natural selection in Arabidopsis thaliana

Nature ◽  
2022 ◽  
Author(s):  
J. Grey Monroe ◽  
Thanvi Srikant ◽  
Pablo Carbonell-Bejerano ◽  
Claude Becker ◽  
Mariele Lensink ◽  
...  
Keyword(s):  
Arabidopsis Thaliana ◽  
De Novo ◽  
Purifying Selection ◽  
Sequence Evolution ◽  
Deleterious Mutations ◽  
De Novo Mutations ◽  
Mutation Bias ◽  
Prevailing Paradigm ◽  
Genome Wide ◽  
Physical Features

AbstractSince the first half of the twentieth century, evolutionary theory has been dominated by the idea that mutations occur randomly with respect to their consequences1. Here we test this assumption with large surveys of de novo mutations in the plant Arabidopsis thaliana. In contrast to expectations, we find that mutations occur less often in functionally constrained regions of the genome—mutation frequency is reduced by half inside gene bodies and by two-thirds in essential genes. With independent genomic mutation datasets, including from the largest Arabidopsis mutation accumulation experiment conducted to date, we demonstrate that epigenomic and physical features explain over 90% of variance in the genome-wide pattern of mutation bias surrounding genes. Observed mutation frequencies around genes in turn accurately predict patterns of genetic polymorphisms in natural Arabidopsis accessions (r = 0.96). That mutation bias is the primary force behind patterns of sequence evolution around genes in natural accessions is supported by analyses of allele frequencies. Finally, we find that genes subject to stronger purifying selection have a lower mutation rate. We conclude that epigenome-associated mutation bias2 reduces the occurrence of deleterious mutations in Arabidopsis, challenging the prevailing paradigm that mutation is a directionless force in evolution.

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