Ecogeographical variation of 12 morphological traits within Pinus tabulaeformis: the effects of environmental factors and demographic histories  

作　　者：Mingfei Ji Jianming Deng Buqing Yao Renfei Chen Zhexuan Fan Jiawei Guan Xiaowei Li Fan Wu Karl J.Niklas 

机构地区：[1]State Key Laboratory of Grassland and Agro-Ecosystems,School of Life Science,Lanzhou University,222 Tianshui Road,Lanzhou,Gansu 730000,China [2]School of life Science and Technology,Nanyang Normal University,1638 Wolong Road,Nanyang,Henan 473061,China [3]Department of Plant Biology,School of Integrative Plant Science,Cornell University,Ithaca,NY 14853,USA

出　　处：《Journal of Plant Ecology》2017年第2期386-396,共11页植物生态学报（英文版）

基　　金：Program from Chinese National Basic Research Program(2014CB954203);grants from the National Natural Science Foundation of China(31322010,31270753,31000286);the National Youth Top-notch Talent Support Program to J.D.and Fundamental Research Funds for Central Universities(lzujbky-2012-k23).

摘　　要：Aims More data are needed about how genetic variation(GV)and envi-ronmental factors influence phenotypic variation within the natural populations of long-lived species with broad geographic distribu-tions.To fill this gap,we examined the correlations among envi-ronmental factors and phenotypic variation within and among 13 natural populations of Pinus tabulaeformis consisting of four demo-graphically distinct groups within the entire distributional range.Methods Using the Akaike’s information Criterion(AiC)model,we measured 12 morphological traits and constructed alternative candidate models for the relationships between each morphological trait and key climatic variables and genetic groups.We then compared the AiC weight for each candidate model to identify the best approximating model for ecogeographical variation of P.tabulaeformis.The partitioning of vari-ance was assessed subsequently by evaluating the independent vari-ables of the selected best models using partial redundancy analysis.Important Findings Significant phenotypic variation of the morphological traits was observed both within individual populations and among populations.Variation partition analyses showed that most of the phenotypic variation was co-determined by both GV and climatic factors.GV accounted for the largest proportion of reproductive trait variation,whereas local key climatic factors(i.e.actual evapotranspiration,AET)accounted for the largest proportion of phenotypic variation in the remaining investigated traits.Our results indicate that both genetic divergence and key environmental factors affect the phenotypic variation observed among populations of this species,and that reproductive and vegetative traits adaptively respond differently with respect to local environmental conditions.This partitioning of factors can inform those making predictions about phenotypic variation in response to future changes in climatic conditions(particularly those affecting AET).

关 键 词：Akaike’s Information Criterion environmental factors genetic variation information-theoretic approach phenotypic variation 

分 类 号：S51[农业科学—作物学]