Harnessing tree-ring phenotypes to disentangle gene by environment interactions and their climate dependencies in a circum-Mediterranean pine.
Ann Bot
; 130(4): 509-523, 2022 09 26.
Article
em En
| MEDLINE
| ID: mdl-35797146
ABSTRACT
BACKGROUND AND AIMS:
Understanding the genetic basis of adaptation and plasticity in trees constitutes a knowledge gap. We linked dendrochronology and genomics [single nucleotide polymorphisms (SNPs)] for a widespread conifer (Pinus halepensis Mill.) to characterize intraspecific growth differences elicited by climate.METHODS:
The analysis comprised 20-year tree-ring series of 130 trees structured in 23 populations evaluated in a common garden. We tested for genotype by environment interactions (Gâ ×â E) of indexed ring width (RWI) and early- to latewood ratios (ELI) using factorial regression, which describes Gâ ×â E as differential gene sensitivity to climate. KEYRESULTS:
The species' annual growth was positively influenced by winter temperature and spring moisture and negatively influenced by previous autumn precipitation and warm springs. Four and five climate factors explained 10 % (RWI) and 16 % (ELI) of population-specific interannual variability, respectively, with populations from drought-prone areas and with uneven precipitation experiencing larger growth reductions during dry vegetative periods. Furthermore, four and two SNPs explained 14 % (RWI) and 10 % (ELI) of interannual variability among trees, respectively. Two SNPs played a putative role in adaptation to climate one identified from transcriptome sequencing of P. halepensis and another involved in response regulation to environmental stressors.CONCLUSIONS:
We highlight how tree-ring phenotypes, obtained from a common garden experiment, combined with a candidate-gene approach allow the quantification of genetic and environmental effects determining adaptation for a conifer with a large and complex genome.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Árvores
/
Pinus
Tipo de estudo:
Prognostic_studies
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article