Dynamic effects of interacting genes underlying rice flowering-time phenotypic plasticity and global adaptation
Autor: | Jianming Yu, Qi Mu, Akio Onogi, Xianran Li, Tingting Guo, Adam Vanous, Hiroyoshi Iwata, Jinyu Wang |
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Rok vydání: | 2020 |
Předmět: |
Population
Genomics Flowers Biology Genes Plant Genome 03 medical and health sciences 0302 clinical medicine Gene mapping Genetics Allele education Gene Genetics (clinical) 030304 developmental biology 0303 health sciences Phenotypic plasticity education.field_of_study Research Temperature Oryza Adaptation Physiological Phenotype Haplotypes Evolutionary biology Regression Analysis Adaptation 030217 neurology & neurosurgery |
Zdroj: | Genome Res |
ISSN: | 1549-5469 1088-9051 |
Popis: | The phenotypic variation of living organisms is shaped by genetics, environment, and their interaction. Understanding phenotypic plasticity under natural conditions is hindered by the apparently complex environment and the interacting genes and pathways. Herein, we report findings from the dissection of rice flowering-time plasticity in a genetic mapping population grown in natural long-day field environments. Genetic loci harboring four genes originally discovered for their photoperiodic effects (Hd1, Hd2, Hd5, and Hd6) were found to differentially respond to temperature at the early growth stage to jointly determine flowering time. The effects of these plasticity genes were revealed with multiple reaction norms along the temperature gradient. By coupling genomic selection and the environmental index, accurate performance predictions were obtained. Next, we examined the allelic variation in the four flowering-time genes across the diverse accessions from the 3000 Rice Genomes Project and constructed haplotypes at both individual-gene and multigene levels. The geographic distribution of haplotypes revealed their preferential adaptation to different temperature zones. Regions with lower temperatures were dominated by haplotypes sensitive to temperature changes, whereas the equatorial region had a majority of haplotypes that are less responsive to temperature. By integrating knowledge from genomics, gene cloning and functional characterization, and environment quantification, we propose a conceptual model with multiple levels of reaction norms to help bridge the gaps among individual gene discovery, field-level phenotypic plasticity, and genomic diversity and adaptation. |
Databáze: | OpenAIRE |
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