2014
DOI: 10.1093/aob/mcu084
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A footprint of past climate change on the diversity and population structure of Miscanthus sinensis

Abstract: Population structure of Msi was driven by patterns of warming since the LGM, and secondarily by geographical barriers. This study will facilitate germplasm conservation, association analyses and identification of potential heterotic groups for the improvement of Miscanthus as a bioenergy crop.

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Cited by 93 publications
(209 citation statements)
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References 63 publications
(83 reference statements)
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“…Filtering for SNPs with a minimum call rate of 0Á5 and a minimum minor allele frequency of 0Á01 produced 29 260 SNPs (Supplementary Data Dataset S2). To obtain SNP genotypes for M. sinensis, we ran the UNEAK pipeline under the same conditions on the 14 Russian M. sinensis individuals and 595 individuals from a previous study (576 M. sinensis individuals plus 19 M. sacchariflorus and hybrid individuals; Clark et al, 2014), and removed SNPs that appeared heterozygous in double haploid lines, yielding 24 132 SNPs.…”
Section: Discussionmentioning
confidence: 99%
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“…Filtering for SNPs with a minimum call rate of 0Á5 and a minimum minor allele frequency of 0Á01 produced 29 260 SNPs (Supplementary Data Dataset S2). To obtain SNP genotypes for M. sinensis, we ran the UNEAK pipeline under the same conditions on the 14 Russian M. sinensis individuals and 595 individuals from a previous study (576 M. sinensis individuals plus 19 M. sacchariflorus and hybrid individuals; Clark et al, 2014), and removed SNPs that appeared heterozygous in double haploid lines, yielding 24 132 SNPs.…”
Section: Discussionmentioning
confidence: 99%
“…Geographic distances between collection sites were calculated using the R (R Core Team, 2014) package geosphere (Hijmans, 2014). SNP data were imported in numeric (0 or 2 for homozygotes, 1 for heterozygotes) format, with individuals as rows and markers as columns ('hapMap2genlight' function;Clark et al, 2014), and genetic distances between individuals were calculated as Euclidian distances between rows using the 'dist' function in R. Correlation between the geographic and genetic distance matrices was then tested using the 'mantel.rtest' function in the R package ade4 (Chessel et al, 2004) with 999 permutations. To make a matrix of genetic distances based on plastid haplotypes, plastid microsatellite data were imported into the R package polysat (Clark and Jasieniuk, 2011) and dissimilarities were calculated with the 'meandistance.matrix' and 'Lynch.distance' functions.…”
Section: Discussionmentioning
confidence: 99%
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“…Some species such as M. floridulus generally grow at sea level or in warm tropical climates, but others such as M. paniculatus can tolerate high altitudes of up to 3100 m on dry mountain slopes of Guizhou, Sichuan and Yunnan in China (Chen and Renvoize, 2006). Given such a wide native distribution, it is not surprising that Miscanthus has also become naturalized following human introduction in many regions of the world including Eurasia, North and South America, and New Zealand (Meyer et al, 2010;Quinn et al, 2010Quinn et al, , 2011Quinn et al, , 2012Barney et al, 2012;Matlaga et al, 2012;Clark et al, 2014). Clark et al (2014) used high-density single-nucleotide polymorphism (SNP) markers to show that naturalized populations of M. sinensis were derived from a subset of ornamental cultivars that were themselves derived from Southern Japan.…”
Section: Taxonomy Phylogeny and Distributionmentioning
confidence: 99%