uu.seUppsala University Publications
Change search
Refine search result
1 - 9 of 9
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Bolivar, Paulina
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Mugal, Carina
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Sebastiano, Matteo Rossi
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology. Ludwig Maximilians Univ Munchen, Fac Biol, Dept Biol 2, Planegg Martinsried, Germany.
    Nater, Alexander
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology. Univ Konstanz, Dept Biol, Chair Zool & Evolutionary Biol, Constance, Germany.
    Wang, Mi
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Dutoit, Ludovic
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Ellegren, Hans
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Biased Inference of Selection Due to GC-Biased Gene Conversion and the Rate of Protein Evolution in Flycatchers When Accounting for It2018In: Molecular biology and evolution, ISSN 0737-4038, E-ISSN 1537-1719, Vol. 35, no 10, p. 2475-2486Article in journal (Refereed)
    Abstract [en]

    The rate of recombination impacts on rates of protein evolution for at least two reasons: it affects the efficacy of selection due to linkage and influences sequence evolution through the process of GC-biased gene conversion (gBGC). We studied how recombination, via gBGC, affects inferences of selection in gene sequences using comparative genomic and population genomic data from the collared flycatcher (Ficedula albicollis). We separately analyzed different mutation categories ("strong"-to-"weak" "weak-to-strong," and GC-conservative changes) and found that gBGC impacts on the distribution of fitness effects of new mutations, and leads to that the rate of adaptive evolution and the proportion of adaptive mutations among nonsynonymous substitutions are underestimated by 22-33%. It also biases inferences of demographic history based on the site frequency spectrum. In light of this impact, we suggest that inferences of selection (and demography) in lineages with pronounced gBGC should be based on GC-conservative changes only. Doing so, we estimate that 10% of nonsynonymous mutations are effectively neutral and that 27% of nonsynonymous substitutions have been fixed by positive selection in the flycatcher lineage. We also find that gene expression level, sex-bias in expression, and the number of protein-protein interactions, but not Hill-Robertson interference (HRI), are strong determinants of selective constraint and rate of adaptation of collared flycatcher genes. This study therefore illustrates the importance of disentangling the effects of different evolutionary forces and genetic factors in interpretation of sequence data, and from that infer the role of natural selection in DNA sequence evolution.

  • 2.
    Burri, Reto
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Nater, Alexander
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Kawakami, Takeshi
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Mugal, Carina F.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Ólason, Páll I.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Evolution.
    Smeds, Linnea
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Suh, Alexander
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Dutoit, Ludovic
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Bures, Stanislav
    Palacky Univ, Dept Zool, Lab Ornithol, Olomouc 77146, Czech Republic..
    Garamszegi, Laszlo Z.
    CSIC, Dept Evolutionary Ecol, Estn Biol Donana, Seville 41092, Spain..
    Hogner, Silje
    Univ Oslo, Ctr Ecol & Evolutionary Synth, Dept Biosci, N-0316 Oslo, Norway.;Univ Oslo, Nat Hist Museum, N-0318 Oslo, Norway..
    Moreno, Juan
    CSIC, Museo Nacl Ciencias Nat, E-28006 Madrid, Spain..
    Qvarnström, Anna
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Animal ecology.
    Ruzic, Milan
    Bird Protect & Study Soc Serbia, Novi Sad 21000, Serbia..
    Saether, Stein-Are
    Univ Oslo, Ctr Ecol & Evolutionary Synth, Dept Biosci, N-0316 Oslo, Norway.;Norwegian Inst Nat Res NINA, N-7034 Trondheim, Norway..
    Saetre, Glenn-Peter
    Univ Oslo, Ctr Ecol & Evolutionary Synth, Dept Biosci, N-0316 Oslo, Norway..
    Toeroek, Janos
    Eotvos Lorand Univ, Dept Systemat Zool & Ecol, Behav Ecol Grp, H-1117 Budapest, Hungary..
    Ellegren, Hans
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Linked selection and recombination rate variation drive the evolution of the genomic landscape of differentiation across the speciation continuum of Ficedula flycatchers2015In: Genome Research, ISSN 1088-9051, E-ISSN 1549-5469, Vol. 25, no 11, p. 1656-1665Article in journal (Refereed)
    Abstract [en]

    Speciation is a continuous process during which genetic changes gradually accumulate in the genomes of diverging species. Recent studies have documented highly heterogeneous differentiation landscapes, with distinct regions of elevated differentiation ("differentiation islands") widespread across genomes. However, it remains unclear which processes drive the evolution of differentiation islands; how the differentiation landscape evolves as speciation advances; and ultimately, how differentiation islands are related to speciation. Here, we addressed these questions based on population genetic analyses of 200 resequenced genomes from 10 populations of four Ficedula flycatcher sister species. We show that a heterogeneous differentiation landscape starts emerging among populations within species, and differentiation islands evolve recurrently in the very same genomic regions among independent lineages. Contrary to expectations from models that interpret differentiation islands as genomic regions involved in reproductive isolation that are shielded from gene flow, patterns of sequence divergence (d(XY) relative node depth) do not support a major role of gene flow in the evolution of the differentiation landscape in these species. Instead, as predicted by models of linked selection, genome-wide variation in diversity and differentiation can be explained by variation in recombination rate and the density of targets for selection. We thus conclude that the heterogeneous landscape of differentiation in Ficedula flycatchers evolves mainly as the result of background selection and selective sweeps in genomic regions of low recombination. Our results emphasize the necessity of incorporating linked selection as a null model to identify genome regions involved in adaptation and speciation.

  • 3.
    Connallon, Tim
    et al.
    Monash Univ, Sch Biol Sci, Clayton, Vic 3800, Australia;Monash Univ, Ctr Geometr Biol, Clayton, Vic 3800, Australia.
    Olito, Colin
    Monash Univ, Sch Biol Sci, Clayton, Vic 3800, Australia;Monash Univ, Ctr Geometr Biol, Clayton, Vic 3800, Australia;Lund Univ, Sect Evolutionary Ecol, Dept Biol, S-22362 Lund, Sweden.
    Dutoit, Ludovic
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology. Univ Otago, Dept Zool, Dunedin 9054, New Zealand.
    Papoli, Homa
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Ruzicka, Filip
    UCL, Res Dept Genet Evolut & Environm, London WC1E 6BT, England.
    Yong, Lengxob
    Univ Exeter, Ctr Ecol & Conservat, Penryn TR10 9FE, England.
    Local adaptation and the evolution of inversions on sex chromosomes and autosomes2018In: Philosophical Transactions of the Royal Society of London. Biological Sciences, ISSN 0962-8436, E-ISSN 1471-2970, Vol. 373, no 1757, article id 20170423Article in journal (Refereed)
    Abstract [en]

    Spatially varying selection with gene flow can favour the evolution of inversions that bind locally adapted alleles together, facilitate local adaptation and ultimately drive genomic divergence between species. Several studies have shown that the rates of spread and establishment of new inversions capturing locally adaptive alleles depend on a suite of evolutionary factors, including the strength of selection for local adaptation, rates of gene flow and recombination, and the deleterious mutation load carried by inversions. Because the balance of these factors is expected to differ between X (or Z) chromosomes and autosomes, opportunities for inversion evolution are likely to systematically differ between these genomic regions, though such scenarios have not been formally modelled. Here, we consider the evolutionary dynamics of X-linked and autosomal inversions in populations evolving at a balance between migration and local selection. We identify three factors that lead to asymmetric rates of X-linked and autosome inversion establishment: (1) sex-biased migration, (2) dominance of locally adapted alleles and (3) chromosome-specific deleterious mutation loads. This theory predicts an elevated rate of fixation, and depressed opportunities for polymorphism, for X-linked inversions. Our survey of data on the genomic distribution of polymorphic and fixed inversions supports both theoretical predictions. This article is part of the theme issue 'Linking local adaptation with the evolution of sex differences'.

  • 4.
    Dutoit, Ludovic
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Determinants of genomic diversity in the collared flycatcher (Ficedula albicollis)2017Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Individuals vary from each other in their genetic content. Genetic diversity is at the core of the evolutionary theory. Rooted in a solid theoretical framework developed as early as the 1930s, current empirical observations of genomic diversity became possible due to technological advances. These measurements, originally based on a few gene sequences from several individuals, are becoming possible at the genome scale for entire populations. We can now explore how evolutionary forces shape diversity levels along different parts of the genome. In this thesis, I focus on the variation in levels of diversity within genomes using avian systems and in particular that of the collared flycatcher (Ficedula albicollis). First, I describe the variation in genetic diversity along the genome of the collared flycatcher and compare it to the amount of variation in diversity across individuals within the population. I provide guidelines on how a small number of makers can capture the extent of variability in a population. Second, I investigate the stability of the local levels of diversity in the genome across evolutionary time scales by comparing collared flycatcher to the hooded crow (Corvus (corone) corone). Third, I study how selection can maintain variation through pervasive evolutionary conflict between sexes. Lastly, I explore how shifts in genome-wide variant frequencies across few generations can be utilised to estimate the effective size of population.

    List of papers
    1. Genomic distribution and estimation of nucleotide diversity in natural populations: perspectives from the collared flycatcher (Ficedula albicollis) genome
    Open this publication in new window or tab >>Genomic distribution and estimation of nucleotide diversity in natural populations: perspectives from the collared flycatcher (Ficedula albicollis) genome
    Show others...
    2017 (English)In: Molecular Ecology Resources, ISSN 1755-098X, E-ISSN 1755-0998, Vol. 17, no 4, p. 586-597Article in journal (Refereed) Published
    Abstract [en]

    Properly estimating genetic diversity in populations of nonmodel species requires a basic understanding of how diversity is distributed across the genome and among individuals. To this end, we analysed whole-genome resequencing data from 20 collared flycatchers (genome size approximate to 1.1 Gb; 10.13 million single nucleotide polymorphisms detected). Genomewide nucleotide diversity was almost identical among individuals (mean = 0.00394, range = 0.00384-0.00401), but diversity levels varied extensively across the genome (95% confidence interval for 200-kb windows = 0.0013-0.0053). Diversity was related to selective constraint such that in comparison with intergenic DNA, diversity at fourfold degenerate sites was reduced to 85%, 3' UTRs to 82%, 5' UTRs to 70% and nondegenerate sites to 12%. There was a strong positive correlation between diversity and chromosome size, probably driven by a higher density of targets for selection on smaller chromosomes increasing the diversity-reducing effect of linked selection. Simulations exploring the ability of sequence data from a small number of genetic markers to capture the observed diversity clearly demonstrated that diversity estimation from finite sampling of such data is bound to be associated with large confidence intervals. Nevertheless, we show that precision in diversity estimation in large out-bred population benefits from increasing the number of loci rather than the number of individuals. Simulations mimicking RAD sequencing showed that this approach gives accurate estimates of genomewide diversity. Based on the patterns of observed diversity and the performed simulations, we provide broad recommendations for how genetic diversity should be estimated in natural populations.

    Keywords
    genetic markers, nucleotide diversity, population genomics, recombination
    National Category
    Evolutionary Biology
    Identifiers
    urn:nbn:se:uu:diva-327358 (URN)10.1111/1755-0998.12602 (DOI)000403258900002 ()
    Available from: 2017-08-22 Created: 2017-08-22 Last updated: 2018-02-22Bibliographically approved
    2. Covariation in levels of nucleotide diversity in homologous regions of the avian genome long after completion of lineage sorting
    Open this publication in new window or tab >>Covariation in levels of nucleotide diversity in homologous regions of the avian genome long after completion of lineage sorting
    Show others...
    2017 (English)In: Proceedings of the Royal Society of London. Biological Sciences, ISSN 0962-8452, E-ISSN 1471-2954, Vol. 284, no 1849, article id 20162756Article in journal (Refereed) Published
    Abstract [en]

    Closely related species may show similar levels of genetic diversity in homologous regions of the genome owing to shared ancestral variation still segregating in the extant species. However, after completion of lineage sorting, such covariation is not necessarily expected. On the other hand, if the processes that govern genetic diversity are conserved, diversity may potentially covary even among distantly related species. We mapped regions of conserved synteny between the genomes of two divergent bird speciescollared flycatcher and hooded crow-and identified more than 600 Mb of homologous regions (66% of the genome). From analyses of whole-genome resequencing data in large population samples of both species we found nucleotide diversity in 200 kb windows to be well correlated (Spearman's rho = 0.407). The correlation remained highly similar after excluding coding sequences. To explain this covariation, we suggest that a stable avian karyotype and a conserved landscape of recombination rate variation render the diversity-reducing effects of linked selection similar in divergent bird lineages. Principal component regression analysis of several potential explanatory variables driving heterogeneity in flycatcher diversity levels revealed the strongest effects from recombination rate variation and density of coding sequence targets for selection, consistent with linked selection. It is also possible that a stable karyotype is associated with a conserved genomic mutation environment contributing to covariation in diversity levels between lineages. Our observations imply that genetic diversity is to some extent predictable.

    Place, publisher, year, edition, pages
    ROYAL SOC, 2017
    Keywords
    nucleotide diversity, linked selection, recombination rate, birds
    National Category
    Biological Sciences
    Identifiers
    urn:nbn:se:uu:diva-320453 (URN)10.1098/rspb.2016.2756 (DOI)000395893200017 ()
    Available from: 2017-04-26 Created: 2017-04-26 Last updated: 2018-02-22Bibliographically approved
    3. Sex-biased gene expression, sexual antagonism and levels of genetic diversity in the collared flycatcher (Ficedula albicollis) genome
    Open this publication in new window or tab >>Sex-biased gene expression, sexual antagonism and levels of genetic diversity in the collared flycatcher (Ficedula albicollis) genome
    Show others...
    2018 (English)In: Molecular Ecology, ISSN 0962-1083, E-ISSN 1365-294X, Vol. 27, no 18, p. 3572-3581Article in journal (Other academic) Published
    Abstract [en]

    Theoretical work suggests that sexual conflict should promote the maintenance of genetic diversity by the opposing directions of selection on sexually antagonistic mutations in males and females. This prediction, so far not been empirically tested on a genome-wide scale, could potentially contribute towards genomic heterogeneity in levels of genetic diversity. We used large-scale population genomic and transcriptomic data from the collared flycatcher (Ficedula albicollis) to analyse how sex-biased gene expression – one outcome of sexual conflict – relates to genetic variability. Here, we demonstrate that the extent of sex-biased gene expression of both male-biased and female-biased genes is significantly correlated with levels of nucleotide diversity in gene sequences and that this correlation extends to the overall levels of genomic diversity. We find evidence for balancing selection in sex-biased genes, suggesting that sex-biased gene expression could be seen as a component counteracting the diversity-reducing effects of linked positive and purifying selection. The observation of significant genetic differentiation between males and females for male-biased genes indicates ongoing sexual conflict and sex-specific viability selection, potentially driven by sexual selection. Our results thus provide a new perspective on the long-standing question in evolutionary biology of how genomes can remain so genetically variable in face of strong natural and sexual selection.

    National Category
    Evolutionary Biology
    Identifiers
    urn:nbn:se:uu:diva-331832 (URN)10.1111/mec.14789 (DOI)000444577100002 ()30055065 (PubMedID)
    Funder
    Knut and Alice Wallenberg FoundationSwedish Research Council
    Available from: 2017-10-18 Created: 2017-10-18 Last updated: 2018-11-15Bibliographically approved
    4. Estimation of contemporary effect population size in an island population of the collared flycatcher (Ficedula albicollis) using large-scale genome data
    Open this publication in new window or tab >>Estimation of contemporary effect population size in an island population of the collared flycatcher (Ficedula albicollis) using large-scale genome data
    Show others...
    (English)Manuscript (preprint) (Other academic)
    Abstract [en]

    Due to its central importance to many aspects of evolutionary biology and population genetics, the long-term effective population size (Ne) has been estimated for numerous species and populations. However, estimating contemporary Ne is difficult and in practice this parameter is often not known. In principle, contemporary Ne can be estimated using either analyses of temporal changes in allele frequencies or the extent of linkage disequilibrium (LD) between unlinked markers. We applied these approaches for contemporary Ne estimation of a relatively recently founded island population of collared flycatchers (Ficedula albicollis). We sequenced the genomes of 85 birds sampled in 1993 and 2015, and used a method of Jorde & Ryman (2007) to estimate Ne to ≈5,000 based on the amount of genetic drift observed between the two cohorts. This corresponds to an effective size/census size (Ne/Nc) ratio of ≈0.5. An approach based on LD applied to each cohort could not separate from Ne infinity. When individuals from the two cohorts were pooled, Ne was estimated to 10,000-25,000, but these estimates may be sensitive to biases. We conclude that whole-genome sequence data offer new possibilities for estimation of contemporary Ne, but also note that such estimation remains difficult. 

    National Category
    Evolutionary Biology
    Identifiers
    urn:nbn:se:uu:diva-331916 (URN)
    Note

    Dutoit L and Nadachowska-Brzyska K contributed equally.

    Available from: 2017-10-19 Created: 2017-10-19 Last updated: 2017-10-19
  • 5.
    Dutoit, Ludovic
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Burri, Reto
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Nater, Alexander
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Mugal, Carina F.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Hans, Ellegren
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Genomic distribution and estimation of nucleotide diversity in natural populations: perspectives from the collared flycatcher (Ficedula albicollis) genome2017In: Molecular Ecology Resources, ISSN 1755-098X, E-ISSN 1755-0998, Vol. 17, no 4, p. 586-597Article in journal (Refereed)
    Abstract [en]

    Properly estimating genetic diversity in populations of nonmodel species requires a basic understanding of how diversity is distributed across the genome and among individuals. To this end, we analysed whole-genome resequencing data from 20 collared flycatchers (genome size approximate to 1.1 Gb; 10.13 million single nucleotide polymorphisms detected). Genomewide nucleotide diversity was almost identical among individuals (mean = 0.00394, range = 0.00384-0.00401), but diversity levels varied extensively across the genome (95% confidence interval for 200-kb windows = 0.0013-0.0053). Diversity was related to selective constraint such that in comparison with intergenic DNA, diversity at fourfold degenerate sites was reduced to 85%, 3' UTRs to 82%, 5' UTRs to 70% and nondegenerate sites to 12%. There was a strong positive correlation between diversity and chromosome size, probably driven by a higher density of targets for selection on smaller chromosomes increasing the diversity-reducing effect of linked selection. Simulations exploring the ability of sequence data from a small number of genetic markers to capture the observed diversity clearly demonstrated that diversity estimation from finite sampling of such data is bound to be associated with large confidence intervals. Nevertheless, we show that precision in diversity estimation in large out-bred population benefits from increasing the number of loci rather than the number of individuals. Simulations mimicking RAD sequencing showed that this approach gives accurate estimates of genomewide diversity. Based on the patterns of observed diversity and the performed simulations, we provide broad recommendations for how genetic diversity should be estimated in natural populations.

  • 6.
    Dutoit, Ludovic
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Mugal, Carina
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Bolivar, Paulina
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Wang, Mi
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Nadachowska-Brzyska, Krystyna
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Smeds, Linnea
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Gustafsson, Lars
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Animal ecology.
    Ellegren, Hans
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Sex-biased gene expression, sexual antagonism and levels of genetic diversity in the collared flycatcher (Ficedula albicollis) genome2018In: Molecular Ecology, ISSN 0962-1083, E-ISSN 1365-294X, Vol. 27, no 18, p. 3572-3581Article in journal (Other academic)
    Abstract [en]

    Theoretical work suggests that sexual conflict should promote the maintenance of genetic diversity by the opposing directions of selection on sexually antagonistic mutations in males and females. This prediction, so far not been empirically tested on a genome-wide scale, could potentially contribute towards genomic heterogeneity in levels of genetic diversity. We used large-scale population genomic and transcriptomic data from the collared flycatcher (Ficedula albicollis) to analyse how sex-biased gene expression – one outcome of sexual conflict – relates to genetic variability. Here, we demonstrate that the extent of sex-biased gene expression of both male-biased and female-biased genes is significantly correlated with levels of nucleotide diversity in gene sequences and that this correlation extends to the overall levels of genomic diversity. We find evidence for balancing selection in sex-biased genes, suggesting that sex-biased gene expression could be seen as a component counteracting the diversity-reducing effects of linked positive and purifying selection. The observation of significant genetic differentiation between males and females for male-biased genes indicates ongoing sexual conflict and sex-specific viability selection, potentially driven by sexual selection. Our results thus provide a new perspective on the long-standing question in evolutionary biology of how genomes can remain so genetically variable in face of strong natural and sexual selection.

  • 7.
    Dutoit, Ludovic
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Vijay, Nagarjun
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology. Univ Michigan, Dept Ecol & Evolutionary Biol, Lab Mol & Genom Evolut, Ann Arbor, MI USA..
    Mugal, Carina F.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Bossu, Christen M.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology. Stockholm Univ, Dept Zool, S-10691 Stockholm, Sweden.
    Burri, Reto
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology. Friedrich Schiller Univ, Inst Ecol, Dept Ecol, Dornburger Str 159 07743 Jena, Jena, Germany.
    Wolf, Jochen
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology. Ludwig Maximilians Univ Munchen, Fac Biol 2, Div Evolutionary Biol, Grosshaderner Str 2, D-82152 Martinsried, Germany..
    Ellegren, Hans
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Covariation in levels of nucleotide diversity in homologous regions of the avian genome long after completion of lineage sorting2017In: Proceedings of the Royal Society of London. Biological Sciences, ISSN 0962-8452, E-ISSN 1471-2954, Vol. 284, no 1849, article id 20162756Article in journal (Refereed)
    Abstract [en]

    Closely related species may show similar levels of genetic diversity in homologous regions of the genome owing to shared ancestral variation still segregating in the extant species. However, after completion of lineage sorting, such covariation is not necessarily expected. On the other hand, if the processes that govern genetic diversity are conserved, diversity may potentially covary even among distantly related species. We mapped regions of conserved synteny between the genomes of two divergent bird speciescollared flycatcher and hooded crow-and identified more than 600 Mb of homologous regions (66% of the genome). From analyses of whole-genome resequencing data in large population samples of both species we found nucleotide diversity in 200 kb windows to be well correlated (Spearman's rho = 0.407). The correlation remained highly similar after excluding coding sequences. To explain this covariation, we suggest that a stable avian karyotype and a conserved landscape of recombination rate variation render the diversity-reducing effects of linked selection similar in divergent bird lineages. Principal component regression analysis of several potential explanatory variables driving heterogeneity in flycatcher diversity levels revealed the strongest effects from recombination rate variation and density of coding sequence targets for selection, consistent with linked selection. It is also possible that a stable karyotype is associated with a conserved genomic mutation environment contributing to covariation in diversity levels between lineages. Our observations imply that genetic diversity is to some extent predictable.

  • 8.
    Uebbing, Severin
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics.
    Künstner, Axel
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics.
    Mäkinen, Hannu
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics.
    Backström, Niclas
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Bolivar, Paulina
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Burri, Reto
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Dutoit, Ludovic
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Mugal, Carina F.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Nater, Alexander
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Aken, Bronwen
    Flicek, Paul
    Martin, Fergal J
    Searle, Stephen M J
    Ellegren, Hans
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Divergence in gene expression within and between two closely related flycatcher species2016In: Molecular Ecology, ISSN 0962-1083, E-ISSN 1365-294X, Vol. 25, no 9, p. 2015-2028Article in journal (Refereed)
    Abstract [en]

    Relatively little is known about the character of gene expression evolution as species diverge. It is for instance unclear if gene expression generally evolves in a clock-like manner (by stabilizing selection or neutral evolution) or if there are frequent episodes of directional selection. To gain insights into the evolutionary divergence of gene expression, we sequenced and compared the transcriptomes of multiple organs from population samples of collared (Ficedula albicollis) and pied flycatchers (F. hypoleuca), two species which diverged less than one million years ago. Ordination analysis separated samples by organ rather than by species. Organs differed in their degrees of expression variance within species and expression divergence between species. Variance was negatively correlated with expression breadth and protein interactivity, suggesting that pleiotropic constraints reduce gene expression variance within species. Variance was correlated with between-species divergence, consistent with a pattern expected from stabilizing selection and neutral evolution. Using an expression PST approach, we identified genes differentially expressed between species and found 16 genes uniquely expressed in one of the species. For one of these, DPP7, uniquely expressed in collared flycatcher, the absence of expression in pied flycatcher could be associated with a ≈ 20 kb deletion including 11 out of 13 exons. This study of a young vertebrate speciation model system expands our knowledge of how gene expression evolves as natural populations become reproductively isolated.

  • 9. Witsenburg, F.
    et al.
    Clement, L.
    Lopez-Baucells, A.
    Palmeirim, J.
    Pavlinic, I.
    Scaravelli, D.
    Sevcik, M.
    Dutoit, Ludovic
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Evolutionary Biology.
    Salamin, N.
    Goudet, J.
    Christe, P.
    How a haemosporidian parasite of bats gets around: the genetic structure of a parasite, vector and host compared2015In: Molecular Ecology, ISSN 0962-1083, E-ISSN 1365-294X, Vol. 24, no 4, p. 926-940Article in journal (Refereed)
    Abstract [en]

    Parasite population structure is often thought to be largely shaped by that of its host. In the case of a parasite with a complex life cycle, two host species, each with their own patterns of demography and migration, spread the parasite. However, the population structure of the parasite is predicted to resemble only that of the most vagile host species. In this study, we tested this prediction in the context of a vector-transmitted parasite. We sampled the haemosporidian parasite Polychromophilus melanipherus across its European range, together with its bat fly vector Nycteribia schmidlii and its host, the bent-winged bat Miniopterus schreibersii. Based on microsatellite analyses, the wingless vector, and not the bat host, was identified as the least structured population and should therefore be considered the most vagile host. Genetic distance matrices were compared for all three species based on a mitochondrial DNA fragment. Both host and vector populations followed an isolation-by-distance pattern across the Mediterranean, but not the parasite. Mantel tests found no correlation between the parasite and either the host or vector populations. We therefore found no support for our hypothesis; the parasite population structure matched neither vector nor host. Instead, we propose a model where the parasite's gene flow is represented by the added effects of host and vector dispersal patterns.

1 - 9 of 9
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf