1. |
- Chen, Jun, et al.
(author)
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Hunting for Beneficial Mutations : Conditioning on SIFT Scores When Estimating the Distribution of Fitness Effect of New Mutations
- 2022
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In: Genome Biology and Evolution. - : Oxford University Press (OUP). - 1759-6653. ; 14:1
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Journal article (peer-reviewed)abstract
- The distribution of fitness effects (DFE) of new mutations is a key parameter of molecular evolution. The DFE can in principle be estimated by comparing the site frequency spectra (SFS) of putatively neutral and functional polymorphisms. Unfortunately, the DFE is intrinsically hard to estimate, especially for beneficial mutations because these tend to be exceedingly rare. There is therefore a strong incentive to find out whether conditioning on properties of mutations that are independent of the SFS could provide additional information. In the present study, we developed a new measure based on SIFT scores. SIFT scores are assigned to nucleotide sites based on their level of conservation across a multispecies alignment: the more conserved a site, the more likely mutations occurring at this site are deleterious, and the lower the SIFT score. If one knows the ancestral state at a given site, one can assign a value to new mutations occurring at the site based on the change of SIFT score associated with the mutation. We called this new measure delta. We show that properties of the DFE as well as the flux of beneficial mutations across classes covary with delta and, hence, that SIFT scores are informative when estimating the fitness effect of new mutations. In particular, conditioning on SIFT scores can help to characterize beneficial mutations.
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2. |
- Chen, Jun, et al.
(author)
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What does the distribution of fitness effects of new mutations reflect? : Insights from plants
- 2022
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In: New Phytologist. - : John Wiley & Sons. - 0028-646X .- 1469-8137. ; 233:4, s. 1613-1619
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Research review (peer-reviewed)abstract
- The distribution of fitness effects (DFE) of new mutations plays a central role in molecular evolution. It is therefore crucial to be able to estimate it accurately from genomic data and to understand the factors that shape it. After a rapid overview of available methods to characterize the fitness effects of mutations, we review what is known on the factors affecting them in plants. Available data indicate that life history traits (e.g. mating system and longevity) have a major effect on the DFE. By contrast, the impact of demography within species appears to be more limited. These results remain to be confirmed, and methods to estimate the joint evolution of demography, life history traits, and the DFE need to be developed.
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3. |
- Gao, Hong, et al.
(author)
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The landscape of tolerated genetic variation in humans and primates
- 2023
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In: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 380:6648
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Journal article (peer-reviewed)abstract
- Personalized genome sequencing has revealed millions of genetic differences between individuals, but our understanding of their clinical relevance remains largely incomplete. To systematically decipher the effects of human genetic variants, we obtained whole-genome sequencing data for 809 individuals from 233 primate species and identified 4.3 million common protein-altering variants with orthologs in humans. We show that these variants can be inferred to have nondeleterious effects in humans based on their presence at high allele frequencies in other primate populations. We use this resource to classify 6% of all possible human protein-altering variants as likely benign and impute the pathogenicity of the remaining 94% of variants with deep learning, achieving state-of-the-art accuracy for diagnosing pathogenic variants in patients with genetic diseases.
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4. |
- Hall, David, 1974-
(author)
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Tracing selection and adaptation along an environmental gradient in Populus tremula
- 2009
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Doctoral thesis (other academic/artistic)abstract
- The distribution of the expressed genotype is moved around in the population over time byevolution. Natural selection is one of the forces that act on the phenotype to change the patterns ofnucleotide variation underlying those distributions. How the phenotype changes over aheterogeneous environment describes the type of evolutionary force acting on this trait and thisshould be reflected in the variation at loci underlying this trait. While the variation in phenotypesand at the nucleotide level in a population indicates the same evolutionary force, it does notnecessarily mean that they are connected. In natural populations the continuous shifting of geneticmaterial through recombination events break down possible associations between loci facilitates theexamination of possible causal loci to single base pair differences in DNA-sequences. Connecting thegenotype and the phenotype thus provides an important step in the understanding the geneticarchitecture of complex traits and the forces that shape the observed patterns.This thesis examines the European aspen, Populus tremula, sampled from subpopulations overan extensive latitudinal gradient covering most of Sweden. Results show a clear geneticdifferentiation in the timing of bud set, a measure of the autumnal cessation of growth, betweendifferent parts of Sweden pointing at local adaptation. In the search for candidate genes thatunderlie the local adaptation found, most genes (25) in the photoperiodic gene network wereexamined for signals of selection. Genes in the photoperiodic network show an increase in theheterogeneity of differentiation between sampled subpopulations in Sweden. Almost half (12) of theexamined genes are under some form of selection. Eight of these genes show positive directionalselection on protein evolution and the gene that code for a photoreceptor, responsible for mediatingchanging light conditions to downstream targets in the network, has the hallmarks of a selectivesweep. The negative correlation between positive directional selection and synonymous diversityindicates that the majority of the photoperiod gene network has undergone recurrent selectivesweeps. A phenomenon that likely has occurred when P. tremula has readapted to the northern lightregimes during population expansion following retracting ice between periods of glaciations. Two ofthe genes under selection also have single nucleotide polymorphisms (SNP) that associate with budset, two in the PHYB2 gene and one in the LHY2 gene. Furthermore, there is an additional SNP inLHY1 that explain part of the variation in timing of bud set, despite the lack of a signal of selection atthe LHY1 gene. Together these SNPs explain 10-15% of the variation in the timing of bud set and 20-30% more if accounting for the positive co-variances between SNPs. There is thus rather extensiveevidence that genes in the photoperiod gene network control the timing of bud set, and reflect localadaptation in this trait.
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5. |
- Hartfield, Matthew, et al.
(author)
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The Evolutionary Interplay between Adaptation and Self-Fertilization
- 2017
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In: Trends in Genetics. - : Elsevier BV. - 0168-9525 .- 1362-4555. ; 33:6, s. 420-431
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Research review (peer-reviewed)abstract
- Genome-wide surveys of nucleotide polymorphisms, obtained from next-generation sequencing, have uncovered numerous examples of adaptation in self-fertilizing organisms, especially regarding changes to climate, geography, and reproductive systems. Yet existing models for inferring attributes of adaptive mutations often assume idealized outcrossing populations, which risks mis-characterizing properties of these variants. Recent theoretical work is emphasizing how various aspects of self-fertilization affects adaptation, yet empirical data on these properties are lacking. We review theoretical and empirical studies demonstrating how self-fertilization alters the process of adaptation, illustrated using examples from current sequencing projects. We propose ideas for how future research can more accurately quantify aspects of adaptation in self-fertilizers, including incorporating the effects of standing variation, demographic history, and polygenic adaptation.
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6. |
- Kruskopf Österberg, Marita, 1970-
(author)
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From QTLs to Genes: Flowering Time Variation and CONSTANS-LIKE Genes in the Black Mustard (Brassica nigra)
- 2007
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Doctoral thesis (other academic/artistic)abstract
- The transition to flowering is a major developmental switch in angiosperms, the timing of which is expected to be important for fitness. In this thesis the focus has been on identification of genes affecting natural variation in flowering time in Brassica nigra. The background for this thesis is an earlier QTL-mapping study in B. nigra. The genomic area with the greatest effect on flowering time in that study contained a homolog to the CONSTANS gene, which is known to affect flowering time in A. thaliana. When studied more closely this gene did not seem to affect flowering time variation in B. nigra. Near the B.nigra CO gene (BniCOa), however, we identified a homolog to the related CONSTANS LIKE 1 (COL1) gene. In A. thaliana COL1 has not been shown to be associated with induction of flowering but since the B. nigra homolog (BniCOL1) in the QTL area showed surprising amounts of variation between early and late flowering plants we set out to test if this variation was associated with flowering time variation. In the first paper we found a significant association between flowering time and one indel (Ind2) in the coding region. Motivated by the results in paper one, we searched for evidence of selection at the BniCOL1(paper two). In paper three the aim was to validate the results from the first paper in a larger sample of populations, and to check whether the association found in paper I could reflect linkage disequilibrium with areas outside of the gene. Finally, in paper four we investigate the general evolution of three CONSTANS-LIKE genes in B. nigra, namely BniCOL1, BniCOa and BniCOb.
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7. |
- Kuderna, Lukas F. K., et al.
(author)
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A global catalog of whole-genome diversity from 233 primate species
- 2023
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In: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 380:6648, s. 906-913
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Journal article (peer-reviewed)abstract
- The rich diversity of morphology and behavior displayed across primate species provides an informative context in which to study the impact of genomic diversity on fundamental biological processes. Analysis of that diversity provides insight into long-standing questions in evolutionary and conservation biology and is urgent given severe threats these species are facing. Here, we present high-coverage wholegenome data from 233 primate species representing 86% of genera and all 16 families. This dataset was used, together with fossil calibration, to create a nuclear DNA phylogeny and to reassess evolutionary divergence times among primate clades. We found within-species genetic diversity across families and geographic regions to be associated with climate and sociality, but not with extinction risk. Furthermore, mutation rates differ across species, potentially influenced by effective population sizes. Lastly, we identified extensive recurrence of missense mutations previously thought to be human specific. This study will open a wide range of research avenues for future primate genomic research.
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8. |
- Kuderna, Lukas F. K., et al.
(author)
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Identification of constrained sequence elements across 239 primate genomes
- 2024
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In: Nature. - : Springer Nature. - 0028-0836 .- 1476-4687. ; 625:7996, s. 735-742
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Journal article (peer-reviewed)abstract
- Noncoding DNA is central to our understanding of human gene regulation and complex diseases1,2, and measuring the evolutionary sequence constraint can establish the functional relevance of putative regulatory elements in the human genome3,4,5,6,7,8,9. Identifying the genomic elements that have become constrained specifically in primates has been hampered by the faster evolution of noncoding DNA compared to protein-coding DNA10, the relatively short timescales separating primate species11, and the previously limited availability of whole-genome sequences12. Here we construct a whole-genome alignment of 239 species, representing nearly half of all extant species in the primate order. Using this resource, we identified human regulatory elements that are under selective constraint across primates and other mammals at a 5% false discovery rate. We detected 111,318 DNase I hypersensitivity sites and 267,410 transcription factor binding sites that are constrained specifically in primates but not across other placental mammals and validate their cis-regulatory effects on gene expression. These regulatory elements are enriched for human genetic variants that affect gene expression and complex traits and diseases. Our results highlight the important role of recent evolution in regulatory sequence elements differentiating primates, including humans, from other placental mammals.
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9. |
- Muyle, Aline, et al.
(author)
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Dioecy Is Associated with High Genetic Diversity and Adaptation Rates in the Plant Genus Silene
- 2021
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In: Molecular biology and evolution. - : Oxford University Press. - 0737-4038 .- 1537-1719. ; 38:3, s. 805-818
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Journal article (peer-reviewed)abstract
- About 15,000 angiosperm species (similar to 6%) have separate sexes, a phenomenon known as dioecy. Why dioecious taxa are so rare is still an open question. Early work reported lower species richness in dioecious compared with nondioecious sister clades, raising the hypothesis that dioecy may be an evolutionary dead-end. This hypothesis has been recently challenged by macroevolutionary analyses that detected no or even positive effect of dioecy on diversification. However, the possible genetic consequences of dioecy at the population level, which could drive the long-term fate of dioecious lineages, have not been tested so far. Here, we used a population genomics approach in the Silene genus to look for possible effects of dioecy, especially for potential evidence of evolutionary handicaps of dioecy underlying the dead-end hypothesis. We collected individual-based RNA-seq data from several populations in 13 closely related species with different sexual systems: seven dioecious, three hermaphroditic, and three gynodioecious species. We show that dioecy is associated with increased genetic diversity, as well as higher selection efficacy both against deleterious mutations and for beneficial mutations. The results hold after controlling for phylogenetic inertia, differences in species census population sizes and geographic ranges. We conclude that dioecious Silene species neither show signs of increased mutational load nor genetic evidence for extinction risk. We discuss these observations in the light of the possible demographic differences between dioecious and self-compatible hermaphroditic species and how this could be related to alternatives to the dead-end hypothesis to explain the rarity of dioecy.
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10. |
- Slotte, Tanja, et al.
(author)
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Genomic Determinants of Protein Evolution and Polymorphism in Arabidopsis
- 2011
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In: Genome Biology and Evolution. - : Oxford University Press (OUP). - 1759-6653. ; 3, s. 1210-1219
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Journal article (peer-reviewed)abstract
- Recent results from Drosophila suggest that positive selection has a substantial impact on genomic patterns of polymorphism and divergence. However, species with smaller population sizes and/or stronger population structure may not be expected to exhibit Drosophila-like patterns of sequence variation. We test this prediction and identify determinants of levels of polymorphism and rates of protein evolution using genomic data from Arabidopsis thaliana and the recently sequenced Arabidopsis lyrata genome. We find that, in contrast to Drosophila, there is no negative relationship between nonsynonymous divergence and silent polymorphism at any spatial scale examined. Instead, synonymous divergence is a major predictor of silent polymorphism, which suggests variation in mutation rate as the main determinant of silent variation. Variation in rates of protein divergence is mainly correlated with gene expression level and breadth, consistent with results for a broad range of taxa, and map-based estimates of recombination rate are only weakly correlated with nonsynonymous divergence. Variation in mutation rates and the strength of purifying selection seem to be major drivers of patterns of polymorphism and divergence in Arabidopsis. Nevertheless, a model allowing for varying negative and positive selection by functional gene category explains the data better than a homogeneous model, implying the action of positive selection on a subset of genes. Genes involved in disease resistance and abiotic stress display high proportions of adaptive substitution. Our results are important for a general understanding of the determinants of rates of protein evolution and the impact of selection on patterns of polymorphism and divergence.
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11. |
- Starnawski, Piotr, et al.
(author)
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Microbial community assembly and evolution in subseafloor sediment
- 2017
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In: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 114:11, s. 2940-2945
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Journal article (peer-reviewed)abstract
- Bacterial and archaeal communities inhabiting the subsurface seabed live under strong energy limitation and have growth rates that are orders of magnitude slower than laboratory-grown cultures. It is not understood how subsurface microbial communities are assembled and whether populations undergo adaptive evolution or accumulate mutations as a result of impaired DNA repair under such energy-limited conditions. Here we use amplicon sequencing to explore changes of microbial communities during burial and isolation from the surface to the >5,000-y-old subsurface of marine sediment and identify a small core set of mostly uncultured bacteria and archaea that is present throughout the sediment column. These persisting populations constitute a small fraction of the entire community at the surface but become predominant in the subsurface. We followed patterns of genome diversity with depth in four dominant lineages of the persisting populations by mapping metagenomic sequence reads onto single-cell genomes. Nucleotide sequence diversity was uniformly low and did not change with age and depth of the sediment. Likewise, there was no detectable change inmutation rates and efficacy of selection. Our results indicate that subsurface microbial communities predominantly assemble by selective survival of taxa able to persist under extreme energy limitation.
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12. |
- Tataru, Paula, et al.
(author)
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Inference of Distribution of Fitness Effects and Proportion of Adaptive Substitutions from Polymorphism Data
- 2017
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In: Genetics. - : Oxford University Press (OUP). - 0016-6731 .- 1943-2631. ; 207:3, s. 1103-1119
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Journal article (peer-reviewed)abstract
- The distribution of fitness effects (DFE) encompasses the fraction of deleterious, neutral, and beneficial mutations. It conditions the evolutionary trajectory of populations, as well as the rate of adaptive molecular evolution (alpha). Inferring DFE and a from patterns of polymorphism, as given through the site frequency spectrum (SFS) and divergence data, has been a longstanding goal of evolutionary genetics. A widespread assumption shared by previous inference methods is that beneficial mutations only contribute negligibly to the polymorphism data. Hence, a DFE comprising only deleterious mutations tends to be estimated from SFS data, and alpha is then predicted by contrasting the SFS with divergence data from an outgroup. We develop a hierarchical probabilistic framework that extends previous methods to infer DFE and alpha from polymorphism data alone. We use extensive simulations to examine the performance of our method. While an outgroup is still needed to obtain an unfolded SFS, we show that both a DFE, comprising both deleterious and beneficial mutations, and alpha can be inferred without using divergence data. We also show that not accounting for the contribution of beneficial mutations to polymorphism data leads to substantially biased estimates of the DFE and alpha. We compare our framework with one of the most widely used inference methods available and apply it on a recently published chimpanzee exome data set.
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