Genetic diversity of Miscanthus sinensis in US naturalized populations

Miscanthus is increasingly gaining popularity as a bioenergy grass because of its extremely high biomass productivity. Many clones of this grass were introduced into United States over the past century from East Asia where it originated, and planted for ornamental and landscaping purposes. An understanding of the genetic diversity among these naturalized populations may help in the efficient selection of potential parents in the Miscanthus breeding program. Here, we report our study analyzing the genetic diversity of 228 MiscanthusDNA samples selected from seven sites in six states (Ohio, North Carolina, Washington D.C., Kentucky, Pennsylvania, and Virginia) across the eastern United States. Ten transferable DNA markers from other plant species were employed to amplify genomic DNA of Miscanthus because of the paucity of molecular markers in Miscanthus. There were significant genetic variations observed within and among US naturalized populations. The highest genetic diversity (0.3738) was found among the North Carolina genotypes taken from Biltmore Deer Park and Biltmore, Madison County, Cody Rd. The lowest genetic diversity (0.2776) was observed among Virginia genotypes that were diverged from those from other states, suggesting Virginia genotypes might be independently introduced into the United States from the different origin. By the cluster and structure analysis, 228 genotypes were categorized into two major groups that were further divided into six subgroups at the DNA level and the groups were generally consistent with geographic region.

[1]  K. Tamura,et al.  DNA markers for identifying interspecific hybrids between Miscanthus sacchariflorus and Miscanthus sinensis , 2015 .

[2]  Junhua Peng,et al.  Genetic structure of Miscanthus sinensis and Miscanthus sacchariflorus in Japan indicates a gradient of bidirectional but asymmetric introgression , 2015, Journal of experimental botany.

[3]  Eun-Jeong Lee,et al.  Assessment of genetic diversity of Korean Miscanthus using morphological traits and SSR markers , 2014 .

[4]  S. Long,et al.  A footprint of past climate change on the diversity and population structure of Miscanthus sinensis. , 2014, Annals of botany.

[5]  Koichiro Tamura,et al.  MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. , 2013, Molecular biology and evolution.

[6]  Dongfa Sun,et al.  Genetic Diversity and Population Structure of Miscanthus sinensis Germplasm in China , 2013, PloS one.

[7]  Qi Xiang Zhang,et al.  Genetic diversity of natural Miscanthus sinensis populations in China revealed by ISSR markers , 2013 .

[8]  Jianping Wang,et al.  Higher genetic diversity and gene flow in wild populations of Miscanthus sinensis in southwest China , 2013 .

[9]  Junhua Peng,et al.  Transferability of Genomic Simple Sequence Repeat and Expressed Sequence Tag‐Simple Sequence Repeat Markers from Sorghum to Miscanthus sinensis, a Potential Biomass Crop , 2013 .

[10]  Tingting Zhu,et al.  Transferability of rice SSR markers to Miscanthus sinensis, a potential biofuel crop , 2013, Euphytica.

[11]  Rod Peakall,et al.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update , 2012, Bioinform..

[12]  D. Rokhsar,et al.  A framework genetic map for Miscanthus sinensis from RNAseq-based markers shows recent tetraploidy , 2012, BMC Genomics.

[13]  Andrew H. Paterson,et al.  SSR-based genetic maps of Miscanthus sinensis and M. sacchariflorus, and their comparison to sorghum , 2012, Theoretical and Applied Genetics.

[14]  K. Głowacka.  A review of the genetic study of the energy crop Miscanthus. , 2011 .

[15]  S. Ge,et al.  Development of microsatellite markers for Miscanthus sinensis (Poaceae) and cross-amplification in other related species. , 2011, American journal of botany.

[16]  Mingcheng Luo,et al.  Transferability of microsatellite markers from Brachypodium distachyon to Miscanthus sinensis, a potential biomass crop. , 2011, Journal of integrative plant biology.

[17]  Lauren D. Quinn,et al.  Invasiveness potential of Miscanthus sinensis: implications for bioenergy production in the United States , 2010 .

[18]  Chris Somerville,et al.  Feedstocks for Lignocellulosic Biofuels , 2010, Science.

[19]  N. Gutterson,et al.  Engineering Advantages, Challenges and Status of Grass Energy Crops , 2010 .

[20]  Andrew H. Paterson,et al.  Genetic improvement of C4 grasses as cellulosic biofuel feedstocks , 2009, In Vitro Cellular & Developmental Biology - Plant.

[21]  A. Hastings,et al.  Future energy potential of Miscanthus in Europe , 2009 .

[22]  A. Hastings,et al.  The development of MISCANFOR, a new Miscanthus crop growth model: towards more robust yield predictions under different climatic and soil conditions , 2009 .

[23]  Stephen P. Long,et al.  Meeting US biofuel goals with less land: the potential of Miscanthus , 2008 .

[24]  Joshua S Yuan,et al.  Plants to power: bioenergy to fuel the future. , 2008, Trends in plant science.

[25]  M. Egnin,et al.  Factors enhancingAgrobacterium tumefaciens-mediated gene transfer in peanut (Arachis hypogaea L.) , 1998, In Vitro Cellular & Developmental Biology - Plant.

[26]  Wilfred Vermerris,et al.  Miscanthus: Genetic resources and breeding potential to enhance bioenergy production , 2008 .

[27]  M. Stephens,et al.  Inference of population structure using multilocus genotype data: dominant markers and null alleles , 2007, Molecular ecology notes.

[28]  D. Simberloff,et al.  Adding Biofuels to the Invasive Species Fire? , 2006, Science.

[29]  P. Smouse,et al.  genalex 6: genetic analysis in Excel. Population genetic software for teaching and research , 2006 .

[30]  Yoshio Tateno,et al.  Accuracy of estimated phylogenetic trees from molecular data , 1983, Journal of Molecular Evolution.

[31]  G. Evanno,et al.  Detecting the number of clusters of individuals using the software structure: a simulation study , 2005, Molecular ecology.

[32]  Kejun Liu,et al.  PowerMarker: an integrated analysis environment for genetic marker analysis , 2005, Bioinform..

[33]  Yoshio Tateno,et al.  Accuracy of estimated phylogenetic trees from molecular data , 2005, Journal of Molecular Evolution.

[34]  I. Linde-Laursen,et al.  Cytogenetic Analysis of Miscanthus‘Giganteus’, an Interspecific Hybrid , 2004 .

[35]  S. Kresovich,et al.  Multiple methods for the identification of polymorphic simple sequence repeats (SSRs) in sorghum [Sorghum bicolor (L.) Moench] , 1996, Theoretical and Applied Genetics.

[36]  P. Smouse,et al.  RAPD variation within and among natural populations of outcrossing buffalograss [Buchloë dactyloides (Nutt.) Engelm.] , 1993, Theoretical and Applied Genetics.

[37]  J. Scurlock,et al.  The development and current status of perennial rhizomatous grasses as energy crops in the US and Europe , 2003 .

[38]  N. V. Nair,et al.  Evaluation of maize microsatellite markers for genetic diversity analysis and fingerprinting in sugarcane. , 2003, Genome.

[39]  D. Laurie,et al.  Microsatellites and RFLP probes from maize are efficient sources of molecular markers for the biomass energy crop Miscanthus , 2001, Theoretical and Applied Genetics.

[40]  Taylor,et al.  Characterisation of microsatellite markers from sugarcane (Saccharum sp.), a highly polyploid species. , 2000, Plant science : an international journal of experimental plant biology.

[41]  P. Donnelly,et al.  Inference of population structure using multilocus genotype data. , 2000, Genetics.

[42]  M. Egnin,et al.  Factors enhancing Agrobacterium tumefaciens-mediated gene transfer in peanut (Arachis hypogaea L.). , 1998, In vitro cellular & developmental biology. Plant : journal of the Tissue Culture Association.

[43]  Tamas Lelley,et al.  Cytogenetic Studies of Different Miscanthus Species with Potential for Agricultural Use , 1994 .

[44]  J. Kao.  Cyclopedia of American Horticulture , 1900, Nature.