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What We Know About Weeds: Insights from Genetic Markers

Published online by Cambridge University Press:  20 January 2017

Tracey A. Bodo Slotta
Tracey A. Bodo Slotta*
Affiliation:
Department of Biology and Environmental Science, Hood College, 401 Rosemont Avenue, Frederick, MD 21701
*
Corresponding author's E-mail: [email protected]
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Abstract

Genetic markers have been used in horticulture and conservation biology to identify breeding lines, assess genetic diversity, and examine gene flow. In weed science, analysis of genetic markers is not as common, as the focus often lies in the development of control methods. This is unfortunate, because advances in genetic marker techniques may lead to innovative methods in controlling weedy plants. Microsatellites, random amplified polymorphic DNA (RAPDs), intersimple sequence repeats (ISSRs), amplified fragment length polymorphisms (AFLPs), DNA sequences, single nucleotide polymorphisms (SNPs), and derived cleaved amplified polymorphic sequences (dCAPS) have been used in studying genetics of weedy plants. Beyond assessing genetic diversity of weeds, markers have been used to examine gene flow, patterns of dispersal, ploidy levels, and relationships of weedy and nonweedy species, as well as identifying founder populations. Identification of closely related species may indicate the potential for hybridization, cross reactivity of chemical applications, or nontarget biological control effects. Furthermore, markers have been used in identification of mutations conferring herbicide resistance and identification of regions correlating fitness of weedy and hybrid plants in new habitats. Knowledge from genetic markers provides fundamental information that can be used in advancing chemical and biological control in weed management. This article serves as a review of these marker types and their application to weed science.

Keywords

AFLPsdCAPSDNA sequenceherbicide resistance (HR)ISSRsmicrosatellitesRAPDsSNPs
Type
Symposium
Information
Weed Science , Volume 56 , Issue 2 , April 2008 , pp. 322 - 326
Copyright
Copyright © Weed Science Society of America 

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References

Literature Cited

Bon, M. C., Hurand, C., Gaskin, J., and Risterucci, A. M. 2005. Polymorphic microsatellite markers in polyploidy Lepidium draba L. ssp. draba (Brassicaceae) and cross-species amplification in closely related taxa. Mol. Ecol. Notes. 5:68–70.Google Scholar
Bryan, G. S., McNicoll, J., Ramsay, G., Meyer, R. C., and De Jong, W. S. 1999. Polymorphic simple sequence repeat markers in chloroplast genomes of Solanaceous plants. Theor. Appl. Genet. 99:859–867.CrossRefGoogle Scholar
Curn, V., Kubatova, B., Vavrova, P., Krivackova-Sucha, O., and Cizkova, H. 2007. Phenotypic and genotypic variation of Phragmites australis: comparison of populations in two human-made lakes of different age and history. Aquat. Bot. 86:321–330.Google Scholar
Danquah, E. Y., Johnson, D. E., Riches, C., Arnold, G. M., and Karp, A. 2002. Genetic diversity in Echinochloa spp. collected from different geographic origins and within rice fields in Cote d'Ivoire. Weed Res. 42:394–405.CrossRefGoogle Scholar
Delye, C., Calmes, E., and Matejicek, A. 2002b. SNP markers for black-grass (Alopecurus myosuroides Huds.) genotypes resistant to acetyl CoA-carboxylase inhibiting herbicides. Theor. Appl. Genet. 104:1114–1120.CrossRefGoogle ScholarPubMed
Delye, C., Matejicek, A., and Gasquez, J. 2002a. PCR-based detection of resistance to acetyl-CoA carboxylase-inhibiting herbicides in black-grass (Alopecurus myosuroides Huds) and ryegrass (Lolium rigidum Gaud). Pest Manag. Sci. 58:474–478.Google Scholar
Delye, C., Menchari, Y., Michel, S., and Darmency, H. 2004. Molecular bases for sensitivity to tubulin-binding herbicides in green foxtail. Plant Physiol. 136:3920–3932.Google Scholar
Dinelli, G., Bonetti, A., Marotti, I., Minelli, M., and Catizone, P. 2004. Characterization of Italian populations of Lolium spp. resistant and susceptible to diclofop by inter simple sequence repeat. Weed Sci. 52:554–563.Google Scholar
Ellstrand, N. C. and Schierenbeck, K. A. 2000. Hybridization as a stimulus for the evolution of invasiveness in plants. Proc. Natl. Acad. Sci. USA. 97:7043–7050.Google Scholar
Frey, J. E., Muller-Scharer, H., Frey, B., and Frei, D. 1999. Complex relation between triazine-susceptible phenotype and genotype in the weed Senecio vulgaris may be caused by chloroplast DNA polymorphism. Theor. Appl. Genet. 99:578–586.Google Scholar
Goolsby, J. A., DeBarro, P. J., Makinson, J. R., Pemberton, R. W., Hartley, D. M., and Frohlich, D. R. 2006. Matching the origin of an invasive weed for selection of a herbivore haplotype for a biological control programme. Mol. Ecol. 15:287–297.Google Scholar
Gu, X., Kianian, S., and Foley, M. 2006. Towards positional cloning of genes for dormancy and its related adaptive traits from weedy rice. PAG-XIV Conference Abstract W390.Google Scholar
Hufbauer, R. 2004. Population genetics of invasions: Can we link neutral markers to management. Weed Technol. 18:1522–1527.Google Scholar
Jasieniuk, M. and Maxwell, B. D. 2001. Plant diversity: new insights from molecular biology and genomics techniques. Weed Sci. 49:257–262.Google Scholar
Jump, A., Dawson, D. A., James, C. M., Woodward, F. I., and Burke, T. 2002. Isolation of polymorphic microsatellites in the stemless thistle (Cirsium acaule) and their utility in other Cirsium species. Mol. Ecol. Notes. 2:589–592.CrossRefGoogle Scholar
Kaundun, S. S. and Windass, J. D. 2006. Derived cleaved amplified polymorphic sequence, a simple method to detect a key point mutation conferring acetyl CoA carboxylase inhibitor herbicide resistance in grass weeds. Weed Res. 46:34–39.Google Scholar
Keane, R. M. and Crawley, M. J. 2002. Exotic plant invasions and the enemy release hypothesis. Trends Ecol. Evol. 17:164–170.Google Scholar
Kijas, J. M. H., Fowler, J. C. S., and Thomas, M. R. 1995. An evaluation of sequence tagged microsatellite site markers for genetic analysis within Citrus and related species. Genome. 38:349–355.Google Scholar
Lai, Z., Livingstone, K., Zou, Y., Church, S. A., Knapp, S. J., Andrews, J., and Rieseberg, L. H. 2005. Identification and mapping of SNPs from ESTs in sunflower. Theor. Appl. Genet. 111:1532–1544.Google Scholar
Lee, B. S., Kim, M. Y., Wang, R. R. C., and Waldron, B. L. 2005. Relationships among 3 Kochia species based on PCR-generated molecular sequences and molecular cytogenetics. Genome. 48:1104–1115.Google Scholar
Li, W., Wang, B., and Wang, J. 2006. Lack of genetic variation of an invasive clonal plant Eichhornia crassipes in China revealed by RAPD and ISSR markers. Aquat. Bot. 84:176–180.Google Scholar
Menchari, Y., Camilleri, C., Michel, S., Brunel, D., Dessaint, F., Le Corre, V., and Delye, C. 2006. Weed response to herbicides: regional-scale distribution of herbicide resistance alleles in the grass weed Alopecurus myosuroides . New Phytol. 171:861–864.CrossRefGoogle ScholarPubMed
Mengistu, L. W., Messersmith, C. G., and Christoffers, M. J. 2005. Genetic diversity of herbicide-resistant and -susceptible Avena fatua populations in North Dakota and Minnesota. Weed Res. 45:413–423.Google Scholar
Moody, M. L. and Les, D. H. 2007. Geographic distribution and genotypic composition of invasive hybrid watermilfoil (Myriophyllum spicatum × M. sibiricum) populations in North America. Biol. Invasions. 9:559–570.CrossRefGoogle Scholar
Neff, M. M., Neff, J. D., Chory, J., and Pepper, A. E. 1998. dCAPS, a simple technique for the genetic analysis of single nucleotide polymorphisms: experimental applications in Arabidopsis thaliana genetics. Plant J. 14:613–615.Google Scholar
O'Hanlon, P. C., Peakall, R., and Briese, D. T. 2000. A review of new PCR-based genetic markers and their utility to weed ecology. Weed Res. 40:239–254.Google Scholar
Raina, S. N., Sharma, S., Sasakuma, T., Kishii, M., and Vaishnavi, S. 2005. Novel repeated DNA sequences in safflower (Carthamus tinctorius L.) (Asteraceae): Cloning, sequencing, and physical mapping by fluorescence in situ hybridization. J. Hered. 95:424–429.Google Scholar
Ren, M. X., Zhang, Q. G., and Zhang, D. Y. 2005. Random amplified polymorphic DNA markers reveal low genetic variation and a single dominant genotype in Eichhornia crassipes populations throughout China. Weed Res. 45:236–244.Google Scholar
Semagn, K., Bjornstad, A., and Ndjiondjop, M. N. 2006. An overview of molecular marker methods for plants. Afr. J. Biotechnol. 5:2540–2568.Google Scholar
Senda, T., Saito, M., Ohsako, T., and Tominaga, T. 2005. Analysis of Lolium temulentum geographical differentiation by microsatellite and AFLP markers. Weed Res. 45:18–26.Google Scholar
Sheppard, A. W., van Klinken, R. D., and Heard, T. A. 2005. Scientific advances in the analysis of direct risks of weed biological control agents to nontarget plants. Biol. Control. 35:215–226.Google Scholar
Slotta, T. A. B., Horvath, D. P., and Foley, M. E. 2005. Development of polymorphic markers for Cirsium arvense, Canada thistle, and their amplification in closely related taxa. Mol. Ecol. Notes. 5:917–919.CrossRefGoogle Scholar
Slotta, T. A. B., Rothhouse, J., Horvath, D. P., and Foley, M. E. 2006. Genetic diversity of Cirsium arvense (Canada thistle) in North Dakota. Weed Sci. 54:1080–1085.Google Scholar
Sterling, T. M., Thompson, D. C., and Abbott, L. B. 2004. Implications of invasive plant variation for weed management. Weed Technol. 18:1319–1324.Google Scholar
Vos, P. R., Hogers, M., Bleeker, M., Reijians, T., Lee, M., Hornes, A., Frijters, J., Pot, J., Peleman, M., Kuiper, M., and Zaneau, M. 1995. AFLP: a new technique for DNA fingerprinting. Nucleic Acids Res. 23:4407–4414.Google Scholar
Wagner, J., Haas, H. U., and Hurle, K. 2002. Identification of ALS inhibitor-resistant Amaranthus biotypes using polymerase chain reaction amplification of specific alleles. Weed Res. 42:280–286.Google Scholar
White, P. S., Kwok, P. Y., Oefner, P., and Brookes, A. J. 2001. 3rd international meeting on single nucleotide polymorphism and complex genome analysis: SNPs: “some notable progress.”. Eur. J. Human Gen. 9:316–318.CrossRefGoogle Scholar
Williams, J. G. K., Kubelik, A. R., Livak, K. J., Rafalski, J. A., and Tingey, S. V. 1990. DNA polymorphisms amplified by arbitrary primers are useful as genetic markers. Nucleic Acids Res. 18:6531–6535.CrossRefGoogle ScholarPubMed
Wolfe, A. D. and Liston, A. 1998. Contributions of PCR-based methods to plant systematics and evolutionary biology. Pages 43–86. in Soltis, P. S., Soltis, D. E., and Doyle, J. J. Molecular Systematics of Plants: DNA Sequencing. New York Kluwer.Google Scholar
Zietkiewicz, E., Rafalski, A., and Labuda, D. 1994. Genome fingerprinting by simple sequence repeats (SSR) –anchored PCR amplification. Genomics. 20:176–183.Google Scholar