scholarly journals Chromosomal assembly and analyses of genome-wide recombination rates in the forest pathogenic fungus Armillaria ostoyae

Heredity ◽  
2020 ◽  
Vol 124 (6) ◽  
pp. 699-713 ◽  
Author(s):  
Renate Heinzelmann ◽  
Daniel Rigling ◽  
György Sipos ◽  
Martin Münsterkötter ◽  
Daniel Croll
Keyword(s):  
Pathogenic Fungus ◽  
Recombination Rates ◽  
Armillaria Ostoyae ◽  
Genome Wide

scholarly journals Chromosomal assembly and analyses of genome-wide recombination rates in the forest pathogenic fungus Armillaria ostoyae

2019 ◽  
Author(s):  
Renate Heinzelmann ◽  
Daniel Rigling ◽  
György Sipos ◽  
Martin Münsterkötter ◽  
Daniel Croll
Keyword(s):  
Pathogenic Fungus ◽  
Snp Markers ◽  
Rate Variation ◽  
Recombination Rates ◽  
Evolutionary Trajectory ◽  
Armillaria Ostoyae ◽  
Recombination Hotspots ◽  
Genome Wide ◽  
A Genome ◽  
Taxonomic Groups

AbstractRecombination shapes the evolutionary trajectory of populations and plays an important role in the faithful transmission of chromosomes during meiosis. Levels of sexual reproduction and recombination are important properties of host-pathogen interactions because the speed of antagonistic co-evolution depends on the ability of hosts and pathogens to generate genetic variation. However, our understanding of the importance of recombination is limited because large taxonomic groups remain poorly investigated. Here, we analyze recombination rate variation in the basidiomycete fungus Armillaria ostoyae, which is an aggressive pathogen on a broad range of conifers and other trees. We constructed a dense genetic map using 198 single basidiospore progeny from a cross. Progeny were genotyped at a genome-wide set of single nucleotide polymorphism (SNP) markers using double digest restriction site associated DNA sequencing (ddRADseq). Based on a linkage map of on 11,700 SNPs spanning 1007.5 cM, we assembled genomic scaffolds into 11 putative chromosomes of a total genome size of 56.6 Mb. We identified 1984 crossover events among all progeny and found that recombination rates were highly variable along chromosomes. Recombination hotspots tended to be in regions close to the telomeres and were more gene-poor than the genomic background. Genes in proximity to recombination hotspots were encoding on average shorter proteins and were enriched for pectin degrading enzymes. Our analyses enable more powerful population and genome-scale studies of a major tree pathogen.

scholarly journals First-Generation Linkage Map of the Gray, Short-Tailed Opossum,Monodelphis domestica, Reveals Genome-Wide Reduction in Female Recombination Rates

Genetics ◽  
2004 ◽  
Vol 166 (1) ◽  
pp. 307-329 ◽  
Author(s):  
Paul B. Samollow ◽  
Candace M. Kammerer ◽  
Susan M. Mahaney ◽  
Jennifer L. Schneider ◽  
Scott J. Westenberger ◽  
...  
Keyword(s):  
Linkage Map ◽  
First Generation ◽  
Monodelphis Domestica ◽  
Recombination Rates ◽  
Genome Wide

scholarly journals Evolution of strong reproductive isolation in plants: broad-scale patterns and lessons from a perennial model group

2020 ◽  
Vol 375 (1806) ◽  
pp. 20190544 ◽  
Author(s):  
Huiying Shang ◽  
Jaqueline Hess ◽  
Melinda Pickup ◽  
David L. Field ◽  
Pär K. Ingvarsson ◽  
...  
Keyword(s):  
Reproductive Isolation ◽  
Association Studies ◽  
Great Promise ◽  
Genome Wide Association Studies ◽  
Model Group ◽  
Recombination Rates ◽  
Genome Wide ◽  
Theoretical Predictions ◽  
Tree Topologies ◽  
Exemplary Model

Many recent studies have addressed the mechanisms operating during the early stages of speciation, but surprisingly few studies have tested theoretical predictions on the evolution of strong reproductive isolation (RI). To help address this gap, we first undertook a quantitative review of the hybrid zone literature for flowering plants in relation to reproductive barriers. Then, using Populus as an exemplary model group, we analysed genome-wide variation for phylogenetic tree topologies in both early- and late-stage speciation taxa to determine how these patterns may be related to the genomic architecture of RI. Our plant literature survey revealed variation in barrier complexity and an association between barrier number and introgressive gene flow. Focusing on Populus, our genome-wide analysis of tree topologies in speciating poplar taxa points to unusually complex genomic architectures of RI, consistent with earlier genome-wide association studies. These architectures appear to facilitate the ‘escape’ of introgressed genome segments from polygenic barriers even with strong RI, thus affecting their relationships with recombination rates. Placed within the context of the broader literature, our data illustrate how phylogenomic approaches hold great promise for addressing the evolution and temporary breakdown of RI during late stages of speciation. This article is part of the theme issue ‘Towards the completion of speciation: the evolution of reproductive isolation beyond the first barriers'.

scholarly journals Predicting the Landscape of Recombination Using Deep Learning

2020 ◽  
Vol 37 (6) ◽  
pp. 1790-1808 ◽  
Author(s):  
Jeffrey R Adrion ◽  
Jared G Galloway ◽  
Andrew D Kern
Keyword(s):  
Deep Learning ◽  
Evolutionary History ◽  
Model Misspecification ◽  
Natural Populations ◽  
High Accuracy ◽  
Demographic Model ◽  
Recombination Rates ◽  
Genome Wide ◽  
A Genome ◽  
The Face

Abstract Accurately inferring the genome-wide landscape of recombination rates in natural populations is a central aim in genomics, as patterns of linkage influence everything from genetic mapping to understanding evolutionary history. Here, we describe recombination landscape estimation using recurrent neural networks (ReLERNN), a deep learning method for estimating a genome-wide recombination map that is accurate even with small numbers of pooled or individually sequenced genomes. Rather than use summaries of linkage disequilibrium as its input, ReLERNN takes columns from a genotype alignment, which are then modeled as a sequence across the genome using a recurrent neural network. We demonstrate that ReLERNN improves accuracy and reduces bias relative to existing methods and maintains high accuracy in the face of demographic model misspecification, missing genotype calls, and genome inaccessibility. We apply ReLERNN to natural populations of African Drosophila melanogaster and show that genome-wide recombination landscapes, although largely correlated among populations, exhibit important population-specific differences. Lastly, we connect the inferred patterns of recombination with the frequencies of major inversions segregating in natural Drosophila populations.

scholarly journals Epigenetic modifications affect the rate of spontaneous mutations in a pathogenic fungus

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Michael Habig ◽  
Cecile Lorrain ◽  
Alice Feurtey ◽  
Jovan Komluski ◽  
Eva H. Stukenbrock
Keyword(s):  
Temperature Stress ◽  
Mutation Rate ◽  
Cytosine Methylation ◽  
Pathogenic Fungus ◽  
Epigenetic Modifications ◽  
Mutation Rates ◽  
Adaptive Mutation ◽  
Spontaneous Mutations ◽  
Evolutionary Trajectory ◽  
Genome Wide

AbstractMutations are the source of genetic variation and the substrate for evolution. Genome-wide mutation rates appear to be affected by selection and are probably adaptive. Mutation rates are also known to vary along genomes, possibly in response to epigenetic modifications, but causality is only assumed. In this study we determine the direct impact of epigenetic modifications and temperature stress on mitotic mutation rates in a fungal pathogen using a mutation accumulation approach. Deletion mutants lacking epigenetic modifications confirm that histone mark H3K27me3 increases whereas H3K9me3 decreases the mutation rate. Furthermore, cytosine methylation in transposable elements (TE) increases the mutation rate 15-fold resulting in significantly less TE mobilization. Also accessory chromosomes have significantly higher mutation rates. Finally, we find that temperature stress substantially elevates the mutation rate. Taken together, we find that epigenetic modifications and environmental conditions modify the rate and the location of spontaneous mutations in the genome and alter its evolutionary trajectory.

scholarly journals Transition from background selection to associative overdominance promotes diversity in regions of low recombination

2019 ◽  
Author(s):  
Kimberly J. Gilbert ◽  
Fanny Pouyet ◽  
Laurent Excoffier ◽  
Stephan Peischl
Keyword(s):  
Genetic Diversity ◽  
Balancing Selection ◽  
Purifying Selection ◽  
Heterozygote Advantage ◽  
Background Selection ◽  
Deleterious Mutations ◽  
Recombination Rates ◽  
Locus Model ◽  
Genome Wide ◽  
Linked Selection

SummaryLinked selection is a major driver of genetic diversity. Selection against deleterious mutations removes linked neutral diversity (background selection, BGS, Charlesworth et al. 1993), creating a positive correlation between recombination rates and genetic diversity. Purifying selection against recessive variants, however, can also lead to associative overdominance (AOD, Ohta 1971, Zhao & Charlesworth, 2016), due to an apparent heterozygote advantage at linked neutral loci that opposes the loss of neutral diversity by BGS. Zhao & Charlesworth (2016) identified the conditions when AOD should dominate over BGS in a single-locus model and suggested that the effect of AOD could become stronger if multiple linked deleterious variants co-segregate. We present a model describing how and under which conditions multi-locus dynamics can amplify the effects of AOD. We derive the conditions for a transition from BGS to AOD due to pseudo-overdominance (Ohta & Kimura 1970), i.e. a form of balancing selection that maintains complementary deleterious haplotypes that mask the effect of recessive deleterious mutations. Simulations confirm these findings and show that multi-locus AOD can increase diversity in low recombination regions much more strongly than previously appreciated. While BGS is known to drive genome-wide diversity in humans (Pouyet et al. 2018), the observation of a resurgence of genetic diversity in regions of very low recombination is indicative of AOD. We identify 21 such regions in the human genome showing clear signals of multi-locus AOD. Our results demonstrate that AOD may play an important role in the evolution of low recombination regions of many species.

scholarly journals Genome-wide recombination map construction from single individuals using linked-read sequencing

2018 ◽  
Author(s):  
Andreea Dréau ◽  
Vrinda Venu ◽  
Ludmila Gaspar ◽  
Felicity C. Jones
Keyword(s):  
Low Cost ◽  
Genomic Diversity ◽  
Single Individual ◽  
Recombination Rates ◽  
Recombination Hotspots ◽  
Map Construction ◽  
Genome Wide ◽  
Genomic Location ◽  
Sperm Dna ◽  
Opening Up

Meiotic recombination is a major molecular mechanism generating genomic diversity. Recombination rates vary across the genome, often involving localized crossover “hotspots” and “coldspots”. Studying the molecular basis and mechanism underlying this variation within and among individuals has been challenging due to the high cost and effort required to construct individualized genome-wide maps of recombination crossovers. In this study we introduce a new method to detect recombination crossovers across the genome from sperm DNA using Illumina sequencing of linked-read libraries produced using 10X Genomics technology. We leverage the long range information provided by the linked short reads to phase and assign haplotype states to each DNA molecule. When applied to DNA from gametes of a diploid organism, the majority of linked-read molecules can be used to faithfully reconstruct an individual’s two haplotypes present at each location in the genome. A valuable rare fraction of molecules that span meiotic crossovers between the two chromosome haplotypes can then be isolated from the broader population of nonrecombinant molecules. Our pipeline, called ReMIX, allows us to characterize the genomic location and intensity of meiotic crossovers in a single individual and faithfully detects previously described recombination hotspots discovered by studies using mapping panels in mice. With a median crossover resolution of the mouse and stickleback being 15kb and 23kb respectively, ReMIX provides a powerful, high-throughput, low-cost approach to quantify recombination variation across the genome opening up numerous opportunities to study recombination variation with high genomic resolution in multiple individuals. ReMIX source code is available at at https://github.com/adreau/ReMIX.

scholarly journals Heterogeneity in effective size across the genome: effects on the Inverse Instantaneous Coalescence Rate (IICR) and implications for demographic inference under linked selection.

2021 ◽  
Author(s):  
Simon Boitard ◽  
Armando Arredondo ◽  
Camille Noûs ◽  
Lounes Chikhi ◽  
Olivier Mazet
Keyword(s):  
Genetic Diversity ◽  
Balancing Selection ◽  
Effective Population ◽  
Recombination Rates ◽  
Genome Wide ◽  
Coalescence Rate ◽  
Demographic Inference ◽  
The Impact ◽  
Linked Selection ◽  
Coalescence Times

The relative contribution of selection and neutrality in shaping species genetic diversity is one of the most central and controversial questions in evolutionary theory. Genomic data provide growing evidence that linked selection, i.e. the modification of genetic diversity at neutral sites through linkage with selected sites, might be pervasive over the genome. Several studies proposed that linked selection could be modelled as first approximation by a local reduction (e.g. purifying selection, selective sweeps) or increase (e.g. balancing selection) of effective population size (Ne). At the genome-wide scale, this leads to a large variance of Ne from one region to another, reflecting the heterogeneity of selective constraints and recombination rates between regions. We investigate here the consequences of this variation of Ne on the genome-wide distribution of coalescence times. The underlying motivation concerns the impact of linked selection on demographic inference, because the distribution of coalescence times is at the heart of several important demographic inference approaches. Using the concept of Inverse Instantaneous Coalescence Rate, we demonstrate that in a panmictic population, linked selection always results in a spurious apparent decrease of Ne along time. Balancing selection has a particularly large effect, even when it concerns a very small part of the genome. We quantify the expected magnitude of the spurious decrease of Ne in humans and Drosophila melanogaster, based on Ne distributions inferred from real data in these species. We also find that the effect of linked selection can be significantly reduced by that of population structure.

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