European ash ( Fraxinus excelsior L.) trees with low susceptibility to ash dieback have higher reproductive fitness compared to highly susceptible trees, although most pronounced for female success. Selection at generation turnover therefore supports the future recovery of ash forests.
Context The introduced invasive pathogen Hymenoscyphus fraxineus (T. Kowalski) Baral, Queloz, and Hosoya cause extensive damage on European ash (Fraxinus excelsior L.). Heritable variation in susceptibility to ash dieback has been observed among ash trees in natural and planted populations, but it is not clear how variation in susceptibility influences reproductive fitness.
Aims We hypothesize that healthier male and female trees contribute more gametes to the following generation compared to unhealthy ones.
Methods We tested the hypothesis by studying gender, seed production, and paternal success in a clonal field trial with 39 replicated clones. In the trial, the susceptibility level of each clone has been recorded in terms of percent crown damage since 2007. We used a linear regression model to explore the relationship between susceptibility and reproductive success (female and male).
Results The clones revealed a clear gender dimorphism with an approximate 2:2:1 male/female/hermaphrodite ratio. Females with low levels of crown damage produced substantially more seeds compared to highly damaged females. The male clone with the lowest level of susceptibility was the most effective pollen donor, but highly susceptible males also sired some offspring.
Conclusion The results overall represent good news for the potential recovery of ash forests: selection against most susceptible genotypes at generation turnover is expected to facilitate building up disease resistance in ash populations.
Ash dieback, Fraxinus excelsior, Fitness, Gender, Gene pool, Reproductive success
Semizer-Cuming, D., Finkeldey, R., Nielsen, L.R. et al. Annals of Forest Science (2019) 76: 16. https://doi.org/10.1007/s13595-019-0799-x
For the read-only version of the full text: https://rdcu.be/brXFm
The dataset generated and analysed during the current study is available in the University of Copenhagen–Electronic Research Data Archive (UCPH-ERDA), https://sid.erda.dk/public/archives/8a01d83d895d81575baa3c3147339543/published-archive.html