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Connecting genomic patterns of local adaptation and niche suitability in teosintes
- Source :
- Molecular Ecology, Molecular Ecology, Wiley, 2017, ⟨10.1111/mec.14203⟩
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
Abstract
- The central abundance hypothesis predicts that local adaptation is a function of the distance to the centre of a species' geographic range. To test this hypothesis, we gathered genomic diversity data from 49 populations, 646 individuals and 33,464 SNPs of two wild relatives of maize, the teosintes Zea mays ssp. parviglumis and Zea. mays. ssp. mexicana. We examined the association between the distance to their climatic and geographic centroids and the enrichment of SNPs bearing signals of adaptation. We identified candidate adaptive SNPs in each population by combining neutrality tests and cline analyses. By applying linear regression models, we found that the number of candidate SNPs is positively associated with niche suitability, while genetic diversity is reduced at the limits of the geographic distribution. Our results suggest that overall, populations located at the limit of the species' niches are adapting locally. We argue that local adaptation to this limit could initiate ecological speciation processes and facilitate adaptation to global change.
- Subjects :
- 0301 basic medicine
Climate
[SDV]Life Sciences [q-bio]
Population
Niche
Biology
Polymorphism, Single Nucleotide
Zea mays
Ecological speciation
03 medical and health sciences
central abundance hypothesis
Genetic variation
Genetics
ecological speciation
education
Ecology, Evolution, Behavior and Systematics
Ecosystem
Local adaptation
2. Zero hunger
Ecological niche
Genetic diversity
education.field_of_study
Geography
Ecology
Genetic Variation
Cline (biology)
15. Life on land
Adaptation, Physiological
030104 developmental biology
niche centroid
Linear Models
Genome, Plant
conditional neutrality
local adaptation
Subjects
Details
- Language :
- English
- ISSN :
- 09621083 and 1365294X
- Database :
- OpenAIRE
- Journal :
- Molecular Ecology, Molecular Ecology, Wiley, 2017, ⟨10.1111/mec.14203⟩
- Accession number :
- edsair.doi.dedup.....f87662355b7b9e4f7931184d9de22095