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Rastas, P. M. A.

Publications and source records attributed to Rastas, P. M. A..

5 recordsLinked to original sources

FvFT1-FvTFL1 epistasis drives flowering time adaptation in woodland strawberry

Floral transition and flower bud development during autumn and winter are common in plants inhabiting temperate and cold climates. However, our understanding of the natural variation and underlying molecular mechanisms of such life-history strategy remain largely limited to Brassicaceae model species. To address this gap, we investigated flowering time variation across a broad geographical and bioclimatic range in Fragaria vesca (woodland strawberry), a perennial herb from the Rosaceae family. We found that the timing of floral transition and subsequent flowering in F. vesca populations is primarily shaped by population structure, reflecting postglacial colonization patterns from distinct refugia, and is further modulated by adaptations to winter temperatures. The association of increasing expression of FvFT1, the strawberry ortholog of FLOWERING LOCUS T, with delayed flowering in accessions from diverse climatic and genetic backgrounds suggested FvFT1 as a major candidate gene regulating flowering time variation. We further demonstrated how distinct florigen and antiflorigen roles of FvFT1 are dependent on functional alleles of F. vesca TERMINAL FLOWER1 (FvTFL1) and how the epistatic relationship between FvFT1 and FvTFL1 controls adaptive flowering time variation by adjusting sensitivity to floral inductive photoperiod and vernalization. Our findings reveal a major molecular basis of how timing of floral transition has adapted to temperature in a Rosaceae model inhabiting multiple climatic zones and highlight lineage-specific adaptive mechanisms underlying convergent life-history strategy. Significance statementMolecular mechanisms underlying flowering time adaptation have been primarily investigated in annual plants that transit to flowering in spring. However, many perennial plant species in temperate climates form flower buds in autumn and winter to flower in the following spring. We uncover wide geographical and climatic patterns of flowering time adaptation in the perennial model species woodland strawberry. We report that natural variation in the expression of strawberry FLOWERING LOCUS T (FvFT1) gene originating ice ages ago and further driven by local temperature adaptations control flowering time variation in this species. Finally, we show how FvFT1 may function as both flowering promoter and repressor depending on the genetic background, thus revealing a novel mechanism of flowering time adaptation.

plant biology↗

Recovering ecological interactions by mining non-target data from whole genome re-sequencing projects

The study of parasitic species can shed light on aspects of their hosts ecology. Such interactions are however often unknown or understudied due to the difficulty to detect and/or quantify many infections. Whole-genome sequencing and re-sequencing data have been generated at an increasing rate and reduced costs over the last two decades. Projects based on whole organisms, like whole insect specimens, provide genomic material for the target taxon, but may also include sequencing reads from associated microbes and other parasites. Here, we screened for the presence of non-host reads in a collection of whole-genome (re-) sequence projects from the Glanville fritillary butterfly, Melitaea cinxia, a model organism in research on the ecology and evolution of species in spatially structured and fragmented landscapes. We identified infections with different bacteria and eukaryotic parasites, which are shared between populations and underly both previously known and new biotic interactions for this butterfly species. The bacterial symbiont Wolbachia, usually common in insects, was found at relatively low prevalence, while Spiroplasma was ubiquitous across samples from several European populations of the butterfly. Additionally, we confirmed expected rates of larval parasitism by at least two parasitoid wasps. Such results provide proof of principle that key ecological interactions can be uncovered efficiently from existing data, an important first step to characterising the role host-associated organisms play in shaping the ecology and evolutionary history of their host species.

ecology↗

Crossover model of Lep-Rec reveals higher heritability of recombination

Meiotic recombination, a process that reshuffles DNA between parental chromosomes, is almost universal in multicellular organisms. Recombination accelerates the response to selection by breaking the linkage and creating new allelic combinations that can affect the fitness of the progeny. This motivates us to characterise recombination rate variation and to take it into account in evolutionary models and studies. Linkage mapping utilises recombination to obtain recombination distances for genetic markers. With (whole) genome sequencing data, very dense linkage maps can be produced, locating crossovers precisely in the genome. This enables direct and accurate calculation of recombination distances, correction of possible errors in the genome and maps, and studying the relation between recombination and physical base-pair distances. This is now a relevant problem, as high-quality genomes are emerging for many species, and available dense linkage map data would supplement these genomes. Here we present a novel software Lep-Rec to compute the local re-combination rate, i.e. the percentage of crossovers per individual per megabase (cM/Mb) along the genome. Moreover, it can also estimate the underlying, only partly observed, tetrad crossover distribution for each chromosome, while modelling crossover and chromatid interference. Together with Lep-MAP3 and Lep-Anchor, Lep-Rec forms a complete toolbox for studying recombination and crossovers: Lep-MAP3 can robustly construct linkage maps for large number of markers and individuals, while Lep-Anchor can anchor, validate and correct genome assemblies using linkage maps, and together these software provide consistent and complete physical and linkage maps for further analysis with Lep-Rec. Lep-Rec is available from http://sourceforge.net/projects/lep-anchor. Finally, we demonstrate the performance of Lep-Rec using real and simulated data: It outperforms and simplifies currently available tools and its estimated crossover distribution can improve association analysis and heritability estimates of recombination.

bioinformatics↗

Clustering of loci controlling species differences in chemical bouquets of sympatric Heliconius butterflies

The degree to which loci promoting reproductive isolation cluster in the genome - i.e. the genetic architecture of reproductive isolation - can influence the tempo and mode of speciation. Tight linkage between these loci can facilitate speciation in the face of gene flow. Pheromones play a role in reproductive isolation in many Lepidoptera species, and the role of endogenously-produced compounds as secondary metabolites decreases the likelihood of pleiotropy associated with many barrier loci. Heliconius butterflies use male sex pheromones to both court females (aphrodisiac wing pheromones) and ward off male courtship (male-transferred anti-aphrodisiac genital pheromones), and it is likely that these compounds play a role in reproductive isolation between Heliconius species. Using a set of backcross hybrids between H. melpomene and H. cydno, we investigated the genetic architecture of putative male pheromone compound production. We found a set of 40 significant quantitative trait loci (QTL) representing 33 potential pheromone compounds. QTL clustered significantly on two chromosomes, chromosome 8 for genital compounds and chromosome 20 for wing compounds, and chromosome 20 was enriched for potential pheromone biosynthesis genes. There was minimal overlap between pheromone QTL and known QTL for mate choice and color pattern. Nonetheless, we did detect linkage between a QTL for wing androconial area and optix, a color pattern locus known to play a role in reproductive isolation in these species. This tight clustering of putative pheromone loci might contribute to coincident reproductive isolating barriers, facilitating speciation despite ongoing gene flow.

evolutionary biology↗

A High-Resolution Genetic Map for the Laboratory Rat

An accurate and high-resolution genetic map is critical for mapping complex traits, yet the resolution of the current rat genetic map is far lower than human and mouse, and has not been updated since the original ensen-Seaman map in 2004. For the first time, we have refined the rat genetic map to sub-centimorgan (cM) r solution (<0.02 cM) by using 95,769 genetic markers and 870 informative meioses from a cohort of 528 heterogeneous stock (HS) rats. Global recombination rates in the revised sex-averaged map (0.66 cM/Mb) did not difeer compared to the historical map (0.65 cM/Mb); however, substantial refinement was made to the localization of highly recombinant regions within the revised map. Also for the first time, sex-specific rat genetic maps were generated, which revealed both genomewide and fine-scale variation in recombination rates between male and female rats. Reanalysis of multiple quantitative trait loci (QTL) using the historical and refined rat genetic maps demonstrated marked changes to QTL localization, shape, and effect size. As a resource to the rat research community, we have provided revised centimorgan positions for all physical positions within the rat genome and commonly used genetic markers for trait mapping, including 44,828 SSLP markers and the RATDIV genotyping array. Collectively, this study provides a substantial improvement to the rat genetic map and an unprecedented resource for analysis of complex traits and recombination in the rat.

genetics↗