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An admixture of Quercus dentata in the coastal ecotype of Q. mongolica var. crispula in northern Hokkaido and genetic and environmental effects on their traits

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In northern Japan, coastal oak forests consist of Quercus dentata (Qd) on the coastal side and Q. mongolica var. crispula (Qc) on the inland side. In the forests of northern… Click to show full abstract

In northern Japan, coastal oak forests consist of Quercus dentata (Qd) on the coastal side and Q. mongolica var. crispula (Qc) on the inland side. In the forests of northern Hokkaido, Qd is rare, and a coastal ecotype of Qc with some Qd-like traits grows on the coastal side. To reveal the genetic background of this ecotype, nuclear microsatellite genotypes in closely related oak taxa were obtained from the Eurasian continent, Sakhalin, and Hokkaido. The clustering of these genotypes suggests an admixture of Qd in the coastal ecotype of Qc. Next, we evaluated the effects of admixture and coastal stress on the leaf and shoot traits of Qc and Qd along coastal–inland gradients in northern Hokkaido. The admixture of Qd in Qc was quantified by the Qd ancestry proportions. Coastal stress causes bud mortality in the upper parts of shoots and was quantified by the survival patterns of buds in shoots. The genetic and environmental effects on the traits at Qd-abundant and Qd-rare sites were estimated using linear mixed models. The genetic effect was detected in all traits. Both genetic and environmental effects were detected in most traits. Some traits differed between Qd-abundant and Qd-rare sites in addition to these effects, indicating more Qd-like traits at Qd-rare sites. The findings suggest that an admixture of Qd characterizes the genetic background of the coastal ecotype of Qc and that not only the coastal stress but also the genetic background is responsible for the leaf and shoot traits of Qc and Qd in northern Hokkaido.

Keywords: northern hokkaido; coastal ecotype; environmental effects; admixture; genetic environmental

Journal Title: Journal of Plant Research
Year Published: 2019

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