Genetic effects on life-history traits in the Glanville fritillary butterfly

Duplouy, Anne; Wong, Swee Chong; Corander, Jukka; Lehtonen, Rainer; Hanski, Ilkka

doi:10.7717/peerj.3371

Cited by 6 publications

(3 citation statements)

References 57 publications

(131 reference statements)

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“…This signature might be also found in L. helle, even if our sampling does not allow the estimation of IBD for the most recent period (i.e., only two populations are still extant today). This transition from a virtually countrywide panmictic system to a more marked structuring in space is indicative of the fact that despite acknowledged dispersal capabilities of these butterflies in Finland (Habel, Rödder, Schmitt, & Nève, 2011;Habel, Finger, Schmitt, & Nève, 2011), generally related to a colonization-edge syndrome characteristic of populations found at the northern edge of a species' distribution (Duplouy, Wong, Corander, Lehtonen, & Hanski, 2017), the fragmentation of habitats has led to a decrease in these exchanges, and thus to local differentiation.…”

Section: Genetic Diversity Decline In Butterfly Populations Across mentioning

confidence: 99%

Museomics identifies genetic erosion in two butterfly species across the 20th century in Finland

Gauthier

Pajkovic

Neuenschwander

et al. 2020

Molecular Ecology Resources

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Erosion of biodiversity generated by anthropogenic activities has been studied for decades and in many areas at the species level, using taxa monitoring. In contrast, genetic erosion within species has rarely been tracked, and is often studied by inferring past population dynamics from contemporaneous estimators. An alternative to such inferences is the direct examination of past genes, by analysing museum collection specimens. While providing direct access to genetic variation over time, historical DNA is usually not optimally preserved, and it is necessary to apply genotyping methods based on hybridization‐capture to unravel past genetic variation. In this study, we apply such a method (i.e., HyRAD), to large time series of two butterfly species in Finland, and present a new bioinformatic pipeline, namely PopHyRAD, that standardizes and optimizes the analysis of HyRAD data at the within‐species level. In the localities for which the data retrieved have sufficient power to accurately examine genetic dynamics through time, we show that genetic erosion has increased across the last 100 years, as revealed by signatures of allele extinctions and heterozygosity decreases, despite local variations. In one of the two butterflies (Erebia embla), isolation by distance also increased through time, revealing the effect of greater habitat fragmentation over time.

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Section: Genetic Diversity Decline In Butterfly Populations Across mentioning

confidence: 99%

Museomics identifies genetic erosion in two butterfly species across the 20th century in Finland

Gauthier

Pajkovic

Neuenschwander

et al. 2020

Molecular Ecology Resources

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“…These patterns are often due to the action of drift during rapid demographic spatial expansion and colonization [ 2 , 3 ]. Under these conditions, certain alleles and genotypes have been shown to spread in the newly colonized regions due to allele surfing [ 4 ], or due to selection for local adaptation in novel environments at the range limits [ 1 , 5 – 8 ]. Hidden processes and players may however confound these patterns, and challenge our full understanding of the evolutionary histories and genetic diversity of source and edge populations.…”

Section: Introductionmentioning

confidence: 99%

Wolbachia-driven selective sweep in a range expanding insect species

et al. 2021

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Background Evolutionary processes can cause strong spatial genetic signatures, such as local loss of genetic diversity, or conflicting histories from mitochondrial versus nuclear markers. Investigating these genetic patterns is important, as they may reveal obscured processes and players. The maternally inherited bacterium Wolbachia is among the most widespread symbionts in insects. Wolbachia typically spreads within host species by conferring direct fitness benefits, and/or by manipulating its host reproduction to favour infected over uninfected females. Under sufficient selective advantage, the mitochondrial haplotype associated with the favoured maternally-inherited symbiotic strains will spread (i.e. hitchhike), resulting in low mitochondrial genetic variation across the host species range. Method The common bluetail damselfly (Ischnura elegans: van der Linden, 1820) has recently emerged as a model organism for genetics and genomic signatures of range expansion during climate change. Although there is accumulating data on the consequences of such expansion on the genetics of I. elegans, no study has screened for Wolbachia in the damselfly genus Ischnura. Here, we present the biogeographic variation in Wolbachia prevalence and penetrance across Europe and Japan (including samples from 17 populations), and from close relatives in the Mediterranean area (i.e. I. genei: Rambur, 1842; and I. saharensis: Aguesse, 1958). Results Our data reveal (a) multiple Wolbachia-strains, (b) potential transfer of the symbiont through hybridization, (c) higher infection rates at higher latitudes, and (d) reduced mitochondrial diversity in the north-west populations, indicative of hitchhiking associated with the selective sweep of the most common strain. We found low mitochondrial haplotype diversity in the Wolbachia-infected north-western European populations (Sweden, Scotland, the Netherlands, Belgium, France and Italy) of I. elegans, and, conversely, higher mitochondrial diversity in populations with low penetrance of Wolbachia (Ukraine, Greece, Montenegro and Cyprus). The timing of the selective sweep associated with infected lineages was estimated between 20,000 and 44,000 years before present, which is consistent with the end of the last glacial period about 20,000 years. Conclusions Our findings provide an example of how endosymbiont infections can shape spatial variation in their host evolutionary genetics during postglacial expansion. These results also challenge population genetic studies that do not consider the prevalence of symbionts in many insects, which we show can impact geographic patterns of mitochondrial genetic diversity.

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“…For example, human individuals with sickle cell anaemia have a survival advantage in endemic areas of malaria but are at a disadvantage in areas without malaria (Ferreira et al, 2011). Recently, biologists have applied genomic data and traditional pedigree information to explain phenotypic differences in life history traits such as horn shape in Soay sheep (Johnston et al, 2013), clutch size in collared flycatchers (Husby et al, 2015;Ronnegard et al, 2016) and Glanville fritillary butterfly (Duplouy, Wong, Corander, Lehtonen, & Hanski, 2017) where life history trade-offs may be involved in promoting genetic variation at one or several loci in the species.…”

mentioning

confidence: 99%

Transcriptome‐wide genotype–phenotype associations in Daphnia in a predation risk environment

Ravindran

Tams

Cordellier

2020

J of Evolutionary Biology

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Phenotypic variation plays an important role in how species cope with environmental challenges. Pinpointing which genes and genomic regions are underlying phenotypic variability thus helps to understand the processes of acclimation and adaptation. We used Daphnia as a system to identify candidates playing a role in phenotypic variation related to a predation risk environment with a genome‐wide association approach. Furthermore, a gene co‐expression network analysis allowed identifying clusters of co‐expressed genes which correlated to life history traits. To enhance the understanding of the functional roles of the transcripts, we identified orthologs and paralogs from related species and used ontologies to annotate the candidates of interest. Our study revealed that only one life history trait and two morphometric traits have a genetic association in the presence of predation risk (fish kairomones), whereas most genotype–phenotype associations were detected in a genotype–environment interaction analysis for reproduction‐related phenotypic traits. The gene co‐expression network analysis identified a total of 44 modules, of which one module correlated to another life history trait namely the ‘total number of broods’. The combined use of gene co‐expression network and transcriptome‐wide association analysis allowed the identification of 131 candidate transcripts associated with life history traits in Daphnia galeata. These results lay the ground for targeted studies to further understand phenotypic variability in this species.

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Genetic effects on life-history traits in the Glanville fritillary butterfly

Cited by 6 publications

References 57 publications

Museomics identifies genetic erosion in two butterfly species across the 20th century in Finland

Museomics identifies genetic erosion in two butterfly species across the 20th century in Finland

Wolbachia-driven selective sweep in a range expanding insect species

Transcriptome‐wide genotype–phenotype associations in Daphnia in a predation risk environment

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