2022
DOI: 10.1002/ece3.9611
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Genomic divergence between two sister Ostrya species through linked selection and recombination

Abstract: Studying the evolution of genomic divergence between lineages is a topical issue in evolutionary biology. However, the evolutionary forces that shape the heterogeneous divergence of the genomic landscape are still poorly understood. Here, two wind‐pollinated sister‐species ( Ostrya japonica and O. chinensis ) are used to explore what these potential forces might be. A total of 40 individuals from 16 populations across their main distribution areas in China were sam… Show more

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Cited by 3 publications
(1 citation statement)
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References 78 publications
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“…If the status of an SV remains uncertain, inferences of its impact on divergence and adaptation are difficult. Analysing the genomic differences between recently diverged species has revealed genome regions involved in reproductive isolation (Hejase et al, 2020), adaptive genes (Eshel et al, 2021), and the genome-wide landscape of diversification between and within chromosomes (Henderson & Brelsford, 2020;Piatkowski et al, 2023;Zhang et al, 2022). Here using two closely related Eucalyptus species, E. melliodora and E. sideroxylon (Ferguson et al, 2023;Thornhill et al, 2019), we genotype SVs within their respective populations and calculate their rates of population variability.…”
Section: Introductionmentioning
confidence: 99%
“…If the status of an SV remains uncertain, inferences of its impact on divergence and adaptation are difficult. Analysing the genomic differences between recently diverged species has revealed genome regions involved in reproductive isolation (Hejase et al, 2020), adaptive genes (Eshel et al, 2021), and the genome-wide landscape of diversification between and within chromosomes (Henderson & Brelsford, 2020;Piatkowski et al, 2023;Zhang et al, 2022). Here using two closely related Eucalyptus species, E. melliodora and E. sideroxylon (Ferguson et al, 2023;Thornhill et al, 2019), we genotype SVs within their respective populations and calculate their rates of population variability.…”
Section: Introductionmentioning
confidence: 99%