Literature DB >> 21786028

Post-glacial evolution of Panicum virgatum: centers of diversity and gene pools revealed by SSR markers and cpDNA sequences.

Yunwei Zhang1, Juan E Zalapa, Andrew R Jakubowski, David L Price, Ananta Acharya, Yanling Wei, E Charles Brummer, Shawn M Kaeppler, Michael D Casler.   

Abstract

Switchgrass (Panicum virgatum), a central and Eastern USA native, is highly valued as a component in tallgrass prairie and savanna restoration and conservation projects and a potential bioenergy feedstock. The purpose of this study was to identify regional diversity, gene pools, and centers-of-diversity of switchgrass to gain an understanding of its post-glacial evolution and to identify both the geographic range and potential overlap between functional gene pools. We sampled a total of 384 genotypes from 49 accessions that included the three main taxonomic groups of switchgrass (lowland 4x, upland 4x, and upland 8x) along with one accession possessing an intermediate phenotype. We identified primary centers of diversity for switchgrass in the eastern and western Gulf Coast regions. Migration, drift, and selection have led to adaptive radiation in switchgrass, creating regional gene pools within each of the main taxa. We estimate that both upland-lowland divergence and 4x-to-8x polyploidization within switchgrass began approximately 1.5-1 M ybp and that subsequent ice age cycles have resulted in gene flow between ecotype lineages and between ploidy levels. Gene flow has resulted in "hot spots" of genetic diversity in the southeastern USA and along the Atlantic Seaboard.

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Year:  2011        PMID: 21786028     DOI: 10.1007/s10709-011-9597-6

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  20 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

Review 2.  The genetic legacy of the Quaternary ice ages.

Authors:  G Hewitt
Journal:  Nature       Date:  2000-06-22       Impact factor: 49.962

3.  MrBayes 3: Bayesian phylogenetic inference under mixed models.

Authors:  Fredrik Ronquist; John P Huelsenbeck
Journal:  Bioinformatics       Date:  2003-08-12       Impact factor: 6.937

4.  North American ice-sheet dynamics and the onset of 100,000-year glacial cycles.

Authors:  R Bintanja; R S W van de Wal
Journal:  Nature       Date:  2008-08-14       Impact factor: 49.962

5.  MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

Authors:  Koichiro Tamura; Daniel Peterson; Nicholas Peterson; Glen Stecher; Masatoshi Nei; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2011-05-04       Impact factor: 16.240

6.  Estimating the population size for capture-recapture data with unequal catchability.

Authors:  A Chao
Journal:  Biometrics       Date:  1987-12       Impact factor: 2.571

7.  Hierarchical classification of switchgrass genotypes using SSR and chloroplast sequences: ecotypes, ploidies, gene pools, and cultivars.

Authors:  J E Zalapa; D L Price; S M Kaeppler; C M Tobias; M Okada; M D Casler
Journal:  Theor Appl Genet       Date:  2010-11-23       Impact factor: 5.699

8.  Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees.

Authors:  K Tamura; M Nei
Journal:  Mol Biol Evol       Date:  1993-05       Impact factor: 16.240

9.  Postglacial and Interglacial Vegetation History of Southern Georgia and Central Florida.

Authors:  W A Watts
Journal:  Ecology       Date:  1971-07       Impact factor: 5.499

10.  Episodic evolution and adaptation of chloroplast genomes in ancestral grasses.

Authors:  Bojian Zhong; Takahiro Yonezawa; Yang Zhong; Masami Hasegawa
Journal:  PLoS One       Date:  2009-04-24       Impact factor: 3.240

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  29 in total

1.  Genomic diversity in switchgrass (Panicum virgatum): from the continental scale to a dune landscape.

Authors:  Geoffrey P Morris; Paul P Grabowski; Justin O Borevitz
Journal:  Mol Ecol       Date:  2011-11-08       Impact factor: 6.185

2.  Genotyping-by-Sequencing and QTL Mapping of Biomass Yield in Two Switchgrass F1 Populations (Lowland x Coastal and Coastal x Upland).

Authors:  Rasyidah M Razar; Peng Qi; Katrien M Devos; Ali M Missaoui
Journal:  Front Plant Sci       Date:  2022-05-19       Impact factor: 6.627

3.  Functional Diversity of Diterpene Synthases in the Biofuel Crop Switchgrass.

Authors:  Kyle A Pelot; Ruibing Chen; David M Hagelthorn; Cari A Young; J Bennett Addison; Andrew Muchlinski; Dorothea Tholl; Philipp Zerbe
Journal:  Plant Physiol       Date:  2018-07-15       Impact factor: 8.340

4.  A footprint of past climate change on the diversity and population structure of Miscanthus sinensis.

Authors:  Lindsay V Clark; Joe E Brummer; Katarzyna Głowacka; Megan C Hall; Kweon Heo; Junhua Peng; Toshihiko Yamada; Ji Hye Yoo; Chang Yeon Yu; Hua Zhao; Stephen P Long; Erik J Sacks
Journal:  Ann Bot       Date:  2014-06-10       Impact factor: 4.357

5.  A high-density simple sequence repeat-based genetic linkage map of switchgrass.

Authors:  Linglong Liu; Yanqi Wu; Yunwen Wang; Tim Samuels
Journal:  G3 (Bethesda)       Date:  2012-03-01       Impact factor: 3.154

6.  Assessment of drought tolerance of 49 switchgrass (Panicum virgatum) genotypes using physiological and morphological parameters.

Authors:  Yiming Liu; Xunzhong Zhang; Hong Tran; Liang Shan; Jeongwoon Kim; Kevin Childs; Erik H Ervin; Taylor Frazier; Bingyu Zhao
Journal:  Biotechnol Biofuels       Date:  2015-09-22       Impact factor: 6.040

7.  Switchgrass (Panicum virgatum L.) Genotypes Differ between Coastal Sites and Inland Road Corridors in the Northeastern US.

Authors:  Geoffrey Ecker; Juan Zalapa; Carol Auer
Journal:  PLoS One       Date:  2015-06-30       Impact factor: 3.240

8.  Karyotype variation is indicative of subgenomic and ecotypic differentiation in switchgrass.

Authors:  Hugh A Young; Gautam Sarath; Christian M Tobias
Journal:  BMC Plant Biol       Date:  2012-07-26       Impact factor: 4.215

9.  Development of a genome-wide multiple duplex-SSR protocol and its applications for the identification of selfed progeny in switchgrass.

Authors:  Linglong Liu; Yanqi Wu
Journal:  BMC Genomics       Date:  2012-10-03       Impact factor: 3.969

10.  Switchgrass genomic diversity, ploidy, and evolution: novel insights from a network-based SNP discovery protocol.

Authors:  Fei Lu; Alexander E Lipka; Jeff Glaubitz; Rob Elshire; Jerome H Cherney; Michael D Casler; Edward S Buckler; Denise E Costich
Journal:  PLoS Genet       Date:  2013-01-17       Impact factor: 5.917

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