适应不良
生物
局部适应
适应(眼睛)
进化生物学
自然选择
生态学
人口
遗传学
人口学
社会学
神经科学
作者
Xianliang Zhu,Hairun Zhang,Zhaohua Lu,Ming Kang,Baosheng Wang,David Bush,Changrong Li,Fagen Li
摘要
SUMMARY Accelerated global climate change and increased species introduction across international scales have raised concerns about the potential for trees to experience maladaptation or lagging adaptation in response to these environmental shifts. However, our knowledge regarding the relationship between the genomic metrics used to predict maladaptation and actual fitness proxies in trees remains limited. Here, we present a population genomic analysis of 295 families from 28 provenances of Eucalyptus pellita , a widely cultivated fast‐growing tree species, and conducted two common garden experiments. Genomic susceptibility encompassing individual heterozygosity ( H ), genomic inbreeding ( F ROH ), and genomic load (inferred from deleterious mutations) exhibited distinct geographic patterns, shedding light on the origin and evolutionary history of E. pellita . The genetic basis of local adaptation was elucidated through genotype–environment associations and genome‐wide association studies, including 198 loci associated with climate and 2388 loci regulating different traits. Furthermore, Australian provenances have higher genomic vulnerability under prospective climate alterations than Papua New Guinea and Indonesia provenances. By integrating phenotypic data across two common gardens, the relationship between leaf functional traits and predicted metrics of maladaptation was closer than growth attributes. Notably, pronounced natural selection signals linked to leaf morphogenesis have been identified by comparing two lineages spanning the oceans. This study underscores the immense potential of leveraging genomic susceptibility and genomic vulnerability to decipher the local (mal)adaptation of forest trees.
科研通智能强力驱动
Strongly Powered by AbleSci AI