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Genomic analyses provide insights into peach local adaptation and responses to climate change
- Source :
- Genome Res, Digital.CSIC. Repositorio Institucional del CSIC, instname, IRTA Pubpro. Open Digital Archive, Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
- Publication Year :
- 2021
- Publisher :
- Cold Spring Harbor Laboratory, 2021.
-
Abstract
- The environment has constantly shaped plant genomes, but the genetic bases underlying how plants adapt to environmental influences remain largely unknown. We constructed a high-density genomic variation map of 263 geographically representative peach landraces and wild relatives. A combination of whole-genome selection scans and genome-wide environmental association studies (GWEAS) was performed to reveal the genomic bases of peach adaptation to diverse climates. A total of 2092 selective sweeps that underlie local adaptation to both mild and extreme climates were identified, including 339 sweeps conferring genomic pattern of adaptation to high altitudes. Using genome-wide environmental association studies (GWEAS), a total of 2755 genomic loci strongly associated with 51 specific environmental variables were detected. The molecular mechanism underlying adaptive evolution of high drought, strong UVB, cold hardiness, sugar content, flesh color, and bloom date were revealed. Finally, based on 30 yr of observation, a candidate gene associated with bloom date advance, representing peach responses to global warming, was identified. Collectively, our study provides insights into molecular bases of how environments have shaped peach genomes by natural selection and adds candidate genes for future studies on evolutionary genetics, adaptation to climate changes, and breeding.<br />This work was supported by grants from the Agricultural Science and Technology Innovation Program (CAAS-ASTIP-2020-ZFRI01), the National Natural Science Foundation of China (31572094), the Crop Germplasm Resources Conservation Project (2016NWB041), and the U.S. National Science Foundation (IOS-1339287 and IOS-1855585).
- Subjects :
- Prunus persica
0303 health sciences
Candidate gene
Natural selection
Human evolutionary genetics
Research
Climate Change
Genomics
Biology
Adaptation, Physiological
Genome
03 medical and health sciences
0302 clinical medicine
Evolutionary biology
Genetics
Adaptation
Genome, Plant
030217 neurology & neurosurgery
Genetics (clinical)
Selection (genetic algorithm)
030304 developmental biology
Genetic association
Local adaptation
Subjects
Details
- ISSN :
- 15495469 and 10889051
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- Genome Research
- Accession number :
- edsair.doi.dedup.....61924f1173896c0e742d4e5ca74d77ac