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Genetic Diversity of Biofuel and Naturalized Napiergrass (Pennisetum purpureum)

Published online by Cambridge University Press:  20 January 2017

Yolanda López ,
Jeffery Seib ,
Kenneth Woodard ,
Karen Chamusco ,
Lynn Sollenberger ,
Maria Gallo ,
S. Luke Flory  and
Christine Chase
Yolanda López
Affiliation:
Agronomy Department, University of Florida, Gainesville, FL 32611
Jeffery Seib
Affiliation:
Agronomy Department, University of Florida, Gainesville, FL 32611
Kenneth Woodard
Affiliation:
Agronomy Department, University of Florida, Gainesville, FL 32611
Karen Chamusco
Affiliation:
Horticultural Sciences Department, University of Florida, Gainesville, FL 32611
Lynn Sollenberger
Affiliation:
Agronomy Department, University of Florida, Gainesville, FL 32611
Maria Gallo
Affiliation:
Agronomy Department, University of Florida, Gainesville, FL 32611
S. Luke Flory
Affiliation:
Agronomy Department, University of Florida, Gainesville, FL 32611
Christine Chase*
Affiliation:
Horticultural Sciences Department, University of Florida, Gainesville, FL 32611
*
Corresponding author's E-mail: cdchase@ufl.edu
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Abstract

Biofuel crops such as napiergrass possess traits characteristic of invasive plant species, raising concern that biofuels might escape cultivation and invade surrounding agricultural and natural areas. Napiergrass biofuel types are being developed to have reduced invasion risk, but these might be cultivated in areas where naturalized populations of this species are already present. The successful management of napiergrass biofuel plantations will therefore require techniques to monitor for escaped biofuels as distinguished from existing naturalized populations. Here we used 20 microsatellite DNA markers developed for pearl millet to genotype 16 entries of napiergrass, including naturalized populations and accessions selected for biofuel traits. Use of the markers showed a clear genetic separation between the biofuel types and naturalized entries and revealed naturalized populations undergoing genetic isolation by distance. These findings demonstrated the utility of microsatellite marker transfer in the development of an important tool for managing the invasion risk of a potential biofuel crop.

Keywords

Napiergrass, Pennisetum purpureum Schumach.pearl millet, Pennisetum glaucum (L.) R. Br.Invasion riskmicrosatellite marker transfernaturalized population
Type
Research Article
Information
Invasive Plant Science and Management , Volume 7 , Issue 2 , June 2014 , pp. 229 - 236
Copyright
Copyright © Weed Science Society of America 

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Footnotes

Current address of sixth author: College of Tropical Agriculture and Human Resources, University of Hawaii at Manoa, Honolulu, HI 96822

References

Literature Cited

Anderson, WF, Dien, BS, Brandon, SK, Peterson, JD (2008) Assessment of bermudagrass and bunch grasses as feedstock for conversion to ethanol. Appl Biochem Biotechnol 145:13–21 Google Scholar
Arceneaux, G (1967) Weed control: a problem in plant ecology. Sugar J 29:29–31 Google Scholar
Azevedo, ALS, Costa, PP, Machado, JC, Machado, MA, Pereira, AV, Lédo, FJS (2012) Cross-species amplification of Pennisetum glaucum microsatellite markers in Pennisetum purpureum and genetic diversity of Napier grass accessions. Crop Sci 52:1776–1785 Google Scholar
Barney, JN, DiTomaso, JM (2011) Global climate niche estimates for bioenergy crops and invasive species of agronomic origin: Potential problems and opportunities. PLoS ONE. 6: 10.1371/journal.pone.0017222.t001Google Scholar
Budak, H, Pedraza, F, Cregan, PB, Baenziger, PS, Dweikat, I (2003) Development and utilization of SSRs to estimate the degree of genetic relationships in a collection of pearl millet germplasm. Crop Sci 43:2284–2290 Google Scholar
Buddenhagen, CE, Chimera, C, Clifford, P (2009) Assessing biofuel crop invasiveness: a case study. PLoS ONE. 4: 10.1371/journal.pone.0005261Google Scholar
Burton, GW (1942) A cytological study of some species in the tribe Paniceae. Am J Bot 29:355–360 Google Scholar
Burton, GW (1989) Registration of ‘Merkeron’ napiergrass. Crop Sci 29:1327 Google Scholar
Byrne, M, Stone, L (2011) The need for ‘duty of care’ when introducing new crops for sustainable agriculture. Curr Opin Environ Sustainabil 3:50–54 Google Scholar
Croxton, MD, Andreu, MA, Williams, DA, Overholt, WA, Smith, JA (2011) Geographic origins and genetic diversity of air-potato (Dioscorea bulbifera) in Florida. Invasive Plant Sci Manag 4:22–30 Google Scholar
Dellaporta, SL, Wood, J, Hicks, JB (1983) A plant DNA minipreparation: version II. Plant Mol Biol Rep 1:19–21 Google Scholar
Demirbas, A (2009) Political, economic and environmental impacts of biofuels: a review. Appl Energ 86:S108–S117 Google Scholar
Dice, L (1945) Measures of the amount of ecologic association between species. Ecology 26:297–302 Google Scholar
Don, RH, Cox, PT, Wainwright, BJ, Baker, K, Mattick, JS (1991) ‘Touchdown’ PCR to circumvent spurious priming during gene amplification. Nucleic Acids Res 19:4008 Google Scholar
Dornburg, V, van Vuuren, D, van de Ven, G, Langeveld, H, Meeusen, M, Banse, M, van Oorschot, M, Ros, J, van den Born, GJ, Aiking, H, Londo, M, Mozaffarian, H, Verweij, P, Lysen, E, Faaij, A (2010) Bioenergy revisited: key factors in global potentials of bioenergy. Energy Environ Sci 3:258–257Google Scholar
Ellis, JR, Burke, JM (2007) EST-SSRs as a resource for population genetic analyses. Heredity 99:125–132 Google Scholar
Felsenstein, J (1985) Confidence limits on phylogenies: an approach using the bootstrap. Evolution 39:783–791 Google Scholar
Flory, SL, Lorentz, KA, Gordon, DR, Sollenberger, LE (2012) Experimental approaches for evaluating the invasion risk of biofuel crops. Environ Res Lett DOI:10.1088/1748–9326/7/4/045904Google Scholar
Gaskin, JF, Bon, M-C, Cock, MJW, Cristofaro, M, De Biase, A, De Clerck-Floate, R, Ellison, CA, Hinz, HL, Hufbauer, RA, Julien, MH, Sforza, R (2011) Applying molecular-based approaches to classical biological control of weeds. Biol Control 58:1–21 Google Scholar
Gordon, DR, Tancig, KJ, Onderdonk, DA, Gantz, CA (2011) Assessing the invasive potential of biofuel species proposed for Florida and the United States using the Australian Weed Risk Assessment. Biomass Bioenerg 35:74–79 Google Scholar
Hanna, WW, Chaparro, CJ, Mathews, BW, Burns, JC, Sollenberger, LE, Carpenter, JR (2004) Perennial Pennisetums . Pages 503–535 in Moser, LE, Burson, BL, Sollenberger, LE, eds. Warm-Season (C4) Grasses. Madison, WI American Society of Agronomy-Crop Science Society of America-Soil Science Society of America Google Scholar
Hanna, WW, Gupta, SK (1999) Breeding for forage. Pages 303–316 in Khairwal, IS, Rai, KN, Andrews, DJ, Harinarayana, G, eds. Pearl Millet Breeding. New Delhi Oxford and IBH Google Scholar
Hanna, WW, Hill, GM, Gates, RN, Wilson, JP, Burton, GW (1997) Registration of ‘Tifleaf 3’ pearl millet. Crop Sci 37:1388 Google Scholar
Harris, K, Anderson, W, Malik, R (2009) Genetic relationships among napiergrass (Pennisetum purpureum Schum.) nursery accessions using AFLP markers. Plant Genet Resour 8:63–70 Google Scholar
Hufbauer, RA (2004) Population genetics of invasions: can we link neutral markers to management? Weed Technol 18:1522–1527 Google Scholar
Jensen, JL, Bohonak, AJ, Kelley, ST (2005) Isolation by distance, web service. BMC Genetics DOI: 10.1186/1471-2156-6-13Google Scholar
Jørgensen, U (2011) Benefits versus risks of growing biofuel crops: the case of Miscanthus . Curr Opin Environ Sustainabil 3:24–30 Google Scholar
Kalia, RK, Rai, MK, Kalia, S, Singh, R, Dhawan, AK (2011) Microsatellite markers: an overview of the recent progress in plants. Euphytica 177:309–334 Google Scholar
Kamps, TL, Williams, NR, Ortega, VM, Chamusco, KC, Harris-Shultz, K, Scully, BT, Chase, CD (2011) DNA Polymorphisms at bermudagrass microsatellite loci and their use in genotype fingerprinting. Crop Sci 51:1122–1131 Google Scholar
Kelager, A, Pedersen, JS, Bruun, HH (2013) Multiple introductions and no loss of genetic diversity: invasion history of Japanese rose, Rosa rugosa, in Europe. Biol Invasions 15:1125–1141 Google Scholar
Lemus, R, Lal, R (2005) Bioenergy crops and carbon sequestration. Crit Rev Plant Sci 24:1–21 Google Scholar
Le Roux, J, Wieczorek, AM (2009) Molecular systematics and population genetics of biological invasions: towards a better understanding of invasive species management. Ann Appl Biol 154:1–17 Google Scholar
Low, T, Booth, C, Sheppard, A (2011) Weedy biofuels: what can be done? Curr Opin Environ Sustainabil 3:55–59 Google Scholar
Lowe, AJ, Thorpe, W, Teale, A, Hanson, J (2003) Characterisation of germplasm accessions of napier grass (Pennisetum purpureum and P. purpureum × P. glaucum hybrids) and comparison with farm clones using RAPD. Genet Resour Crop Evol 50:121–132 Google Scholar
Mariac, C, Luong, V, Kapran, I, Mamadou, A, Sagnard, F, Deu, M, Chantereau, J, Gerard, B, Ndjeunga, J, Bezançon, G, Pham, JL, Vigouroux, Y (2006) Diversity of wild and cultivated pearl millet accessions (Pennisetum glaucum [L.] R. Br.) in Niger assessed by microsatellite markers. Theor Appl Genet 114:49–58 Google Scholar
Matsuoka, Y, Mitchell, SE, Kresovich, S, Goodman, M, Doebley, J (2002) Microsatellites in Zea—variability, patterns of mutations, and use for evolutionary studies. Theor Appl Genet 104:436–450 Google Scholar
Milbourne, D, Meyer, R, Bradshaw, JE, Baird, E, Bonar, N, Provan, J, Powell, W, Waugh, R (1997) Comparison of PCR-based marker systems for the analysis of genetic relationships in cultivated potato. Mol Breed 3:127–136 Google Scholar
Nei, M, Li, WH (1979) Mathematical model for studying genetic variation in terms of restriction endonucleases. Proc Natl Acad Sci USA 76:5269–5273 Google Scholar
Page, RD (1996) TreeView: an application to display phylogenetic trees on personal computers. Comput Appl Biosci 12:357–358 Google Scholar
Pavlíček, A, Hrdá, Š, Flegr, J (1999) Free-Tree—freeware program for construction of phylogenetic trees on the basis of distance data and bootstrap/jackknife analysis of the tree robustness. Application in the RAPD analysis of genus Frenkelia. Folia Biol 45:97–99 Google Scholar
Powell, W, Machray, GC, Provan, J (1996) Polymorphism revealed by simple sequence repeats. Trends Plant Sci 1:215–222 Google Scholar
Raghu, S, Anderson, RC, Daehler, CC, Davis, AS, Wiedenmann, RN, Simberloff, D, Mack, RN (2006) Adding biofuels to the invasive species fire? Science 313:1742 Google Scholar
Raghu, S, Spence, JL, Davis, AS, Wiedenmann, RN (2011) Ecological considerations in the sustainable development of terrestrial biofuel crops. Curr Opin Environ Sustainabil 3:15–23 Google Scholar
Richardson, DM, Blanchard, R (2011) Learning from our mistakes: minimizing problems with invasive biofuel plants. Curr Opin Environ Sustainabil 3:36–42 Google Scholar
Schneider, A (2003) GPS Visualizer. http://www.gpsvisualizer.com. Accessed September 12, 2012Google Scholar
Sheppard, AW, Gillespie, I, Hirsch, M, Begley, C (2011) Biosecurity and sustainability within the growing global bioeconomy. Curr Opin Environ Sustainabil 3:4–10 Google Scholar
Slotta, TAB (2008) What we know about weeds: insights from genetic markers. Weed Sci 56:322–326 Google Scholar
Sneath, PHA, Sokal, RR (1973) Numerical taxonomy: The principles and practice of numerical classification. San Francisco, CA W.H. Freeman and Company. 573 pGoogle Scholar
Tautz, D, Renz, M (1984) Simple sequences are ubiquitous repetitive components of eukaryotic genomes. Nucleic Acids Res 12:4127–4138 Google Scholar
Thompson, JB (1919) Napier and Merker grasses—two new forages crops for Florida. Fla Agric Exp Stn Bull 153:136–249 Google Scholar
Tilman, D, Socolow, R, Foley, JA, Hill, J, Larson, E, Lynd, L, Pacala, S, Reilly, J, Searchinger, T, Somerville, C, Williams, R (2009) Beneficial biofuels—the food, energy and environmental trilemma. Science 325:270–271 Google Scholar
[USDA] U.S. Department of Agriculture (1968) Plant material introduced January 1 to December 31, 1964 (Nos. 294439 to 303627). Washington, DC USDA, US Gov Print Office Plant Inventory No. 172. 369 pGoogle Scholar
[USDA] U.S. Department of Agriculture (1969) Plant material introduced January 1 to December 31, 1965 (Nos.304133 to 304164). Washington, DC USDA, US Gov Print Office Plant Inventory No. 173. 272 pGoogle Scholar
[USDA] U.S. Department of Agriculture (2010) A USDA Regional Roadmap to Meeting the Biofuels Goals of the Renewable Fuels Standard by 2022 http://www.usda.gov/documents/USDA_Biofuels_Report_6232010.pdf. Accessed June 7, 2012Google Scholar
Vicente-Chandler, J, Abruna, F, Caro-Costas, R, Figarella, J, Silva, S, Pearson, RW (1974) Intensive grassland management in the humid tropics of Puerto Rico. San Juan, PR University of Puerto Rico Agricultural Experiment Station Rio Piedras Bulletin 233. 164 pGoogle Scholar
Weber, JL, May, PE (1989) Abundant class of human DNA polymorphisms which can be typed using the polymerase chain reaction. Am J Hum Genet 44:388–396 Google Scholar