Literature DB >> 21104398

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

J E Zalapa1, D L Price, S M Kaeppler, C M Tobias, M Okada, M D Casler.   

Abstract

Switchgrass (Panicum virgatum L.) is an important crop for bioenergy feedstock development. Switchgrass has two main ecotypes: the lowland ecotype being exclusively tetraploid (2n = 4x = 36) and the upland ecotype being mainly tetraploid and octaploid (2n = 8x = 72). Because there is a significant difference in ploidy, morphology, growth pattern, and zone of adaptation between and within the upland and lowland ecotypes, it is important to discriminate switchgrass plants belonging to different genetic pools. We used 55 simple sequence repeats (SSR) loci and six chloroplast sequences to identify patterns of variation between and within 18 switchgrass cultivars representing seven lowland and 11 upland cultivars from different geographic regions and of varying ploidy levels. We report consistent discrimination of switchgrass cultivars into ecotype membership and demonstrate unambiguous molecular differentiation among switchgrass ploidy levels using genetic markers. Also, SSR and chloroplast markers identified genetic pools related to the geographic origin of the 18 cultivars with respect to ecotype, ploidy, and geographical, and cultivar sources. SSR loci were highly informative for cultivar fingerprinting and to classify plants of unknown origin. This classification system is the first step toward developing switchgrass complementary gene pools that can be expected to provide a significant heterotic increase in biomass yield.

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Year:  2010        PMID: 21104398     DOI: 10.1007/s00122-010-1488-1

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  11 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

2.  Four primer pairs for the amplification of chloroplast intergenic regions with intraspecific variation

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Journal:  Mol Ecol       Date:  1999-03       Impact factor: 6.185

3.  MUSCLE: multiple sequence alignment with high accuracy and high throughput.

Authors:  Robert C Edgar
Journal:  Nucleic Acids Res       Date:  2004-03-19       Impact factor: 16.971

4.  Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.

Authors:  G Evanno; S Regnaut; J Goudet
Journal:  Mol Ecol       Date:  2005-07       Impact factor: 6.185

5.  Improved DNA sequencing quality and efficiency using an optimized fast cycle sequencing protocol.

Authors:  Adam R Platt; Robert W Woodhall; Alfred L George
Journal:  Biotechniques       Date:  2007-07       Impact factor: 1.993

6.  Universal primers for amplification of three non-coding regions of chloroplast DNA.

Authors:  P Taberlet; L Gielly; G Pautou; J Bouvet
Journal:  Plant Mol Biol       Date:  1991-11       Impact factor: 4.076

7.  Analysis of expressed sequence tags and the identification of associated short tandem repeats in switchgrass.

Authors:  Christian M Tobias; Paul Twigg; Daniel M Hayden; Kenneth P Vogel; Rob M Mitchell; Gerard R Lazo; Elaine K Chow; Gautam Sarath
Journal:  Theor Appl Genet       Date:  2005-10-18       Impact factor: 5.699

8.  Complete switchgrass genetic maps reveal subgenome collinearity, preferential pairing and multilocus interactions.

Authors:  Miki Okada; Christina Lanzatella; Malay C Saha; Joe Bouton; Rongling Wu; Christian M Tobias
Journal:  Genetics       Date:  2010-04-20       Impact factor: 4.562

9.  Glacial in situ survival in the Western Alps and polytopic autopolyploidy in Biscutella laevigata L. (Brassicaceae).

Authors:  Christian Parisod; Guillaume Besnard
Journal:  Mol Ecol       Date:  2007-07       Impact factor: 6.185

10.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

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

Authors:  Yunwei Zhang; Juan E Zalapa; Andrew R Jakubowski; David L Price; Ananta Acharya; Yanling Wei; E Charles Brummer; Shawn M Kaeppler; Michael D Casler
Journal:  Genetica       Date:  2011-07-23       Impact factor: 1.082

3.  Chloroplast genome variation in upland and lowland switchgrass.

Authors:  Hugh A Young; Christina L Lanzatella; Gautam Sarath; Christian M Tobias
Journal:  PLoS One       Date:  2011-08-24       Impact factor: 3.240

4.  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

5.  SNP discovery with EST and NextGen sequencing in switchgrass (Panicum virgatum L.).

Authors:  Elhan S Ersoz; Mark H Wright; Jasmyn L Pangilinan; Moira J Sheehan; Christian Tobias; Michael D Casler; Edward S Buckler; Denise E Costich
Journal:  PLoS One       Date:  2012-09-25       Impact factor: 3.240

6.  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

7.  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

8.  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

9.  Advances in biotechnology and genomics of switchgrass.

Authors:  Madhugiri Nageswara-Rao; Jaya R Soneji; Charles Kwit; C Neal Stewart
Journal:  Biotechnol Biofuels       Date:  2013-05-12       Impact factor: 6.040

10.  De novo transcriptome characterization of Vitis vinifera cv. Corvina unveils varietal diversity.

Authors:  Luca Venturini; Alberto Ferrarini; Sara Zenoni; Giovanni Battista Tornielli; Marianna Fasoli; Silvia Dal Santo; Andrea Minio; Genny Buson; Paola Tononi; Elisa Debora Zago; Gianpiero Zamperin; Diana Bellin; Mario Pezzotti; Massimo Delledonne
Journal:  BMC Genomics       Date:  2013-01-18       Impact factor: 3.969

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