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2023 (English) In: Evolutionary Applications, E-ISSN 1752-4571, Vol. 16, no 1, p. 163-Article in journal (Refereed) Published
Abstract [en] The current distribution and population structure of many species were, to a large extent, shaped by cycles of isolation in glacial refugia and subsequent population expansions. Isolation in and postglacial expansion through heterogeneous environments led to either neutral or adaptive divergence. Norway spruce is no exception, and its current distribution is the consequence of a constant interplay between evolutionary and demographic processes. We investigated population differentiation and adaptation of Norway spruce for juvenile growth, diameter of the stem, wood density, and tracheid traits at breast height. Data from 4461 phenotyped and genotyped Norway spruce from 396 half-sib families in two progeny tests were used to test for divergent selection in the framework of QST vs. FST. We show that the macroscopic resultant trait (stem diameter), unlike its microscopic components (tracheid dimensions) and juvenile growth, was under divergent selection that predated the Last Glacial Maximum. Altogether, the current variation in these phenotypic traits in Norway spruce is better explained by local adaptation to ancestral environments than to current ones, where populations were partly preadapted, mainly through growth-related traits. © 2022 The Authors.
Place, publisher, year, edition, pages
John Wiley and Sons Inc, 2023
Keywords Norway spruce, population structure, QST vs. FST, wood quality
National Category
Forest Science
Identifiers urn:nbn:se:ri:diva-62358 (URN) 10.1111/eva.13519 (DOI) 2-s2.0-85144412596 (Scopus ID)
Note Funding details: Stiftelsen för Strategisk Forskning, SSF, RBP14‐0040; Funding details: Vetenskapsrådet, VR, 2018‐05973; Funding details: Sveriges Lantbruksuniversitet, SLU; Funding details: Uppsala Universitet; Funding text 1: The authors acknowledge the Swedish research program Bio4Energy and Skogforsk for access to phenotypic data, and the Swedish Foundation for Strategic Research (SSF), grant number RBP14‐0040 for exome capture data. This study was funded by the following sources: Uppsala University, SLU Umeå, and the European Union's Horizon 2020 B4EST for basic functioning and postdoctoral grant for MT. The authors would also like to thank Sophie Karrenberg and Zhi‐Qiang Chen for their useful feedback. The computations and data handling were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC 2017‐7‐296) at UppMax partially funded by the Swedish Research Council through grant agreement no. 2018‐05973.
2023-01-042023-01-042024-06-13 Bibliographically approved