Abstract

Local adaptation, adaptation to specialized niches and environmental clines have been extensively reported for forest trees. Investigation of the adaptive genetic variation is crucial for forest resource management and breeding, especially in the context of global climate change. Here, we utilized a Pinus yunnanensis common garden experiments established at high and low elevation sites to assess the differences in growth and survival among populations and between the two common garden sites. The studied traits showed significant variation between the two test sites and among populations, suggesting adaptive divergence. To detect genetic variation related to environment, we captured 103,608 high quality SNPs based on RNA sequencing, and used them to assess the genetic diversity and population structure. We identified 321 outlier SNPs from 131 genes showing significant divergence in allelic frequency between survival populations of two sites. Functional categories associated with adaptation to high elevation were found to be related to flavonoid biosynthesis, response to UV, DNA repair, response to reactive oxygen species, and membrane lipid metabolic process. Further investigation of the outlier genes showed overrepresentation of the flavonoid biosynthesis pathway, suggesting that this pathway may play a key role in P. yunnanensis adaptation to high elevation environments. The outlier genes identified, and their variants, provide a basic reference for advanced investigations.

Highlights

  • In harsh environment such as in high elevations, natural selection may result in changes in allele frequency to maximize fitness (Hoffmann and Sgrò, 2011)

  • As natural populations can harbor a great deal of standing genetic variation, these individuals may contain significant divergence in allele frequency contributing to adaptation to high elevation environments

  • These individuals were sampled as high elevation selected population to detect genetic variation related to adaptation to high elevation environments in this study

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Summary

Introduction

In harsh environment such as in high elevations, natural selection may result in changes in allele frequency to maximize fitness (Hoffmann and Sgrò, 2011). Understanding the influence of natural selection on genomic variation in natural populations, and identifying the adaptive loci have received increased attention in the field of adaptive evolution and evolutionary ecology The recent development of highthroughput sequencing technologies has greatly accelerated the identification of key genes and genomics research, significantly promoting the research of adaptive evolution and ecology on nonmodel organisms (Stapley et al, 2010; Ekblom and Galindo, 2011), including conifers (Yeaman et al, 2016; Lind et al, 2018; De La Torre and Neale, 2019; De La Torre et al, 2019; Lu et al, 2019; Tyrmi et al, 2019)

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