Environmental variation partitioned into separate heritable components

Ørsted, Michael; Rohde, Palle Duun; Hoffmann, Ary A.; Sørensen, Peter; Kristensen, Torsten Nygaard

doi:10.1111/evo.13391

Cited by 36 publications

(48 citation statements)

References 88 publications

(222 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although the simple measure of residual (nongenetic) variance used here includes nonadditive genetic variance components, and more studies that explicitly consider environmental variance components would be desirable (e.g. Ørsted et al ., ), the results detailed here are consistent with the expectation of reduced environmental sensitivity of floral traits compared with vegetative traits, assumingly as a result of pollinator‐mediated canalizing selection.…”

Section: Discussionsupporting

confidence: 89%

The evolvability of animal‐pollinated flowers: towards predicting adaptation to novel pollinator communities

Opedal

2018

New Phytologist

View full text Add to dashboard Cite

In the event of a community turnover, population decline, or complete disappearance of pollinators, animal-pollinated plants may respond by adapting to novel pollinators or by changing their mating system. The ability of populations to adapt is determined by their ability to respond to novel selection pressures, i.e. their evolvability. In the short term, evolvability is determined by standing genetic variation in the trait under selection. To evaluate the evolutionary potential of plant reproductive systems, I compiled genetic-variance estimates for a large selection of floral traits mediating shifts in pollination and mating systems. Then, I computed evolvabilities and compared these among trait groups and against the evolvabilities of vegetative traits. Evolvabilities of most floral traits were substantial yet tended to be lower than the median for vegetative traits. Among floral traits, herkogamy (anther-stigma distance), floral-display traits and perhaps floral-volatile concentrations had greater-than-average evolvabilities, while the evolvabilities of pollinator-fit traits were below average. These results suggest that most floral traits have the potential to evolve rapidly in response to novel selection pressures, providing resilience of plant reproductive systems in the event of changing pollinator communities.

show abstract

Section: Discussionsupporting

confidence: 89%

The evolvability of animal‐pollinated flowers: towards predicting adaptation to novel pollinator communities

Opedal

2018

New Phytologist

View full text Add to dashboard Cite

show abstract

“…Nevertheless, instances of indirect genetic effects (IGEs, Bijma 2014) exerted by an individual on the trait values of another individual (e.g. maternal effects), admits that there may exist a partly heritable component in the social/biotic environment when IGEs occur (Ørsted et al 2017). For instance, in isogentic lines of Caenorhabditis elegans nematodes, progeny traits such as fecundity and rate of development are due to maternal-dependent provisioning of vitellogenin protein to the embryos (Perez et al 2017), parents’ influence juvenile body size by adjusting investment per offspring (Rollinson and Rowe 2015).…”

Section: Discussionmentioning

confidence: 99%

Coheritability and Coenvironmentability as Concepts for Partitioning the Phenotypic Correlation

Vásquez-Kool

2019

Preprint

View full text Add to dashboard Cite

Central to the study of joint inheritance of quantitative traits is the determination of the degree of association between two phenotypic characters, and to quantify the relative contribution of shared genetic and environmental components influencing such relationship. One way to approach this problem builds on classical quantitative genetics theory, where the phenotypic correlation between two traits is modelled as the sum of a genetic component called the coheritability (hx,y), which reflects the degree of shared genetics influencing the phenotypic correlation, and an environmental component, namely the coenvironmentability (ex,y) that accounts for all other factors that exert influence on the observed trait-trait association. Here a mathematical and statistical framework is presented on the partition of the phenotypic correlation into these components. I describe visualization tools to analyze and ex,y concurrently, in the form of a three-dimensional (3DHER-plane) and a two-dimensional (2DHER-field) plots. A large data set of genetic parameter estimates (heritabilities, genetic and phenotypic correlations) was compiled from an extensive literature review, from which coheritability and coenvironmentability were derived, with the object to observe patterns of distribution, and tendency. Illustrative examples from a diverse set of published studies show the value of applying this partition to generate hypotheses proposing the differential contribution of shared genetics and shared environment to an observed phenotypic relationship between traits.

show abstract

“…higher coefficient of variation). Whether this component of phenotypic variance is assignable to micro-environmental variation and whether it has its own genetic basis has started to be investigated (53, 69, 70) and will, undoubtedly, be a topic of targeted future research.…”

Section: Discussionmentioning

confidence: 99%

Genetic basis of thermal plasticity variation inDrosophila melanogasterbody size

Lafuente

Duneau

Beldade

2018

Preprint

View full text Add to dashboard Cite

12Body size is a quantitative trait that is closely associated to fitness and under the 13 control of both genetic and environmental factors. While developmental plasticity for 14 this and other traits is heritable and under selection, little is known about the genetic 15 basis for variation in plasticity that can provide the raw material for its evolution. We 16 quantified genetic variation for body size plasticity in Drosophila melanogaster by 17 measuring thorax and abdomen length of females reared at two temperatures from a 18 panel representing naturally segregating alleles, the Drosophila Genetic Reference 19 Panel (DGRP). We found variation between genotypes for the levels and direction of 20 thermal plasticity in size of both body parts. We then used a Genome-Wide Association 21 Study (GWAS) approach to unravel the genetic basis of inter-genotype variation in 22 body size plasticity, and used different approaches to validate selected QTLs and to 23 explore potential pleiotropic effects. We found mostly "private QTLs", with little overlap 24 between the candidate loci underlying variation in plasticity for thorax versus abdomen 25 size, for different properties of the plastic response, and for size versus size plasticity. 26We also found that the putative functions of plasticity QTLs were diverse and that 27 alleles for higher plasticity were found at lower frequencies in the target population. 28Importantly, a number of our plasticity QTLs have been targets of selection in other 29 populations. Our data sheds light onto the genetic basis of inter-genotype variation in 30 size plasticity that is necessary for its evolution. 31 Significance Statement 32The environmental conditions under which development takes place can affect 33 developmental outcomes and lead to the production of phenotypes adjusted to the 34 environment adults will live in. This developmental plasticity, which can help organisms 35 cope with environmental heterogeneity, is heritable and under selection. Plasticity can 36 itself evolve, a process that will be partly dependent on the available genetic variation 37 for this trait. Using a wild-derived D. melanogaster panel, we identified DNA sequence 38 variants associated to variation in thermal plasticity for body size. We found that these 39 variants correspond to a diverse set of gene functions. Furthermore, their effects differ 40 between body parts and properties of the thermal response, which can, therefore, 41 evolve independently. Our results shed new light onto a number of key questions about 42 the long discussed genes for plasticity.43 44 45 size, body proportions natural variation for many adaptive traits in D. melanogaster and other species (6, 43-mapping panels (46, 47) allowed the dissection of the genetic architecture of various 83 quantitative traits in D. melanogaster (48-50), including body size (51). However, with 84 a few recent exceptions (52-55), the genetic basis of phenotypic variation has been 85 investigated under a single environmental condition, precluding asse...

show abstract

Environmental variation partitioned into separate heritable components

Cited by 36 publications

References 88 publications

The evolvability of animal‐pollinated flowers: towards predicting adaptation to novel pollinator communities

The evolvability of animal‐pollinated flowers: towards predicting adaptation to novel pollinator communities

Coheritability and Coenvironmentability as Concepts for Partitioning the Phenotypic Correlation

Genetic basis of thermal plasticity variation inDrosophila melanogasterbody size

Contact Info

Product

Resources

About