Hostname: page-component-586b7cd67f-t7fkt Total loading time: 0 Render date: 2024-11-28T09:21:20.195Z Has data issue: false hasContentIssue false

Use of Wheat SSRs to Assess Genetic Diversity in Medusahead (Taeniatherum caput-medusae)

Published online by Cambridge University Press:  20 January 2017

Brian G. Rector*
Affiliation:
U.S. Department of Agriculture–Agricultural Research Service (USDA-ARS), Great Basin Rangelands Research Unit, 920 Valley Road, Reno, NV 89512
Michael C. Ashley
Affiliation:
U.S. Department of Agriculture–Agricultural Research Service (USDA-ARS), Great Basin Rangelands Research Unit, 920 Valley Road, Reno, NV 89512
John F. Gaskin
Affiliation:
USDA-ARS, Pest Management Research Unit, 1500 North Central Avenue, Sidney, MT 59270
William S. Longland
Affiliation:
U.S. Department of Agriculture–Agricultural Research Service (USDA-ARS), Great Basin Rangelands Research Unit, 920 Valley Road, Reno, NV 89512
*
Corresponding author's E-mail: [email protected]

Abstract

Medusahead is a close relative of bread wheat that is native to Eurasia but has become a noxious, invasive weed in North America. Intergeneric use of primers for bread wheat simple-sequence repeat (SSR) markers was tested in medusahead in order to expand the pool of available genetic resources for study of this plant. Forty-two primer pairs were screened in medusahead, of which 29 produced visible bands in agarose gels. Amplicons from eight of these markers were sequenced and analyzed for the presence of SSRs and single-nucleotide polymorphisms (SNPs) among medusahead individuals from six populations in the western Great Basin. Of the eight sequenced amplicons, two contained SSRs, both of which were polymorphic and shared by the original bread wheat marker. Six of the eight markers combined to detect 33 SNP loci. BLAST comparisons of the eight amplicons revealed variable numbers of matching sequences from wheat and other grass species ranging from 0 to > 200 matches. Using data from the polymorphic loci, population genetic analysis of the six invasive medusahead populations indicated that they arose from two separate introductions with two additional subclusters possible within the two principal clusters. Extrapolating from these results, it is reasonable to expect that between 170 and 830 of the approximately 1,200 publicly available bread wheat SSRs would produce useful marker loci in medusahead.

Type
Research
Copyright
Copyright © Weed Science Society of America 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Literature Cited

Altschul, S. F., Madden, T. L., Schäffer, A. A., Zhang, J., Zhang, Z., Miller, W., and Lipman, D. J. 1997. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 25:33893402.Google Scholar
Arnold, C., Rossetto, M., McNally, J., and Henry, R. J. 2002. The application of SSRs characterized for grape (Vitis vinifera) to conservation studies in Vitaceae. Am. J. Bot. 89:2228.Google Scholar
Baum, B. R., Edwards, T., and Johnson, D. A. 2009. Phylogenetic relationships among diploid Aegilops species inferred from 5S rDNA units. Mol. Phylogenet. Evol. 53:3444.CrossRefGoogle ScholarPubMed
Che, Y. H., Li, H. J., Yang, Y. P., Yang, X. M., Li, X. Q., and Li, L. H. 2008. On the use of SSR markers for the genetic characterization of the Agropyron cristatum (L.) Gaertn. in northern China. Genet. Resour. Crop Evol. 55:389396.Google Scholar
Croxton, M. D., Andreu, M. A., Williams, D. A., Overholt, W. A., and Smith, J. A. 2011. Geographic origins and genetic diversity of air-potato (Dioscorea bulbifera) in Florida. Invasive Plant Sci. Manag. 4:2230.CrossRefGoogle Scholar
Davies, K. W. and Johnson, D. D. 2008. Managing medusahead in the Intermountain West is at a critical threshold. Rangelands 30:1315.CrossRefGoogle Scholar
Davies, K. W. and Svejcar, T. J. 2008. Comparison of medusahead-invaded and noninvaded Wyoming big sagebrush steppe in southeastern Oregon. Rangeland Ecol. Manag. 61:623629.CrossRefGoogle Scholar
Duncan, C. A., Jachetta, J. J., Brown, M. L., Carrithers, V. F., Clark, J. K., DiTomaso, J. M., Lym, R. G., McDaniel, K. G., Renz, M. J., and Rice, P. M. 2004. Assessing the economic, environmental, and societal losses from invasive plants on rangeland and wildlands. Weed Technol. 18:14111416.CrossRefGoogle Scholar
Earl, D. A. and van Holdt, B. M. 2012. STRUCTURE HARVESTER: A website and program for visualizing STRUCTURE output and implementing the Evanno method. Conserv. Genet. Resour. 4:359361.Google Scholar
Escobar, J. S., Scornovacca, C., Cenci, A., Guilhaumon, C., Santori, S., Douzery, E. J. P., Ranwez, V., Glemin, S., and David, J. 2011. Multigenic phylogeny and analysis of tree incongruences in Triticeae (Poaceae). BMC Evol. Biol. 11:181.Google Scholar
Evanno, G., Regnaut, S., and Goudet, J. 2005. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol. Ecol. 14:26112620.Google Scholar
Excoffier, L. and Lischer, H. E. L. 2010. Arlequin suite ver. 3.5: A new series of programs to perform population genetics analyses under Linux and Windows. Mol. Ecol. Resourses 10:564567.Google Scholar
Falush, D., Stevens, M., and Pritchard, J. K. 2003. Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics 164:15671587.Google Scholar
Falush, D., Stephens, M., and Pritchard, J. K. 2007. Inference of population structure using multilocus genotype data: dominant markers and null alleles. Mol. Ecol. Notes 7:574578.CrossRefGoogle ScholarPubMed
Frederiksen, S. 1994. Hybridization between Taeniatherum caput-medusae and Triticum aestivum (Poaceae). Nord. J. Bot. 14:36.Google Scholar
Frederiksen, S. and von Bothmer, R. 1989. Intergeneric hybridization between Taeniatherum and different genera of Triticeae, Poaceae. Nord. J. Bot. 9:229240.Google Scholar
Gaskin, J. F., Schwarzländer, M., Hinz, H. L., Williams, L. III, Gerber, E., Rector, B. G., and Zhang, D. Y. 2013. Genetic identity and diversity of perennial pepperweed in its native and invaded ranges. Invasive Plant Sci. Manag 6:268280.Google Scholar
Gealy, D. H., Agrama, H., and Jia, M. H. 2012. Genetic analysis of atypical U.S. red rice phenotypes: indications of prior gene flow in rice fields? Weed Sci. 60:451461.Google Scholar
Golovnina, K. A., Kondratenko, E. Ya., Blinov, A. G., and Goncharov, N. P. 2009. Phylogeny of the A genomes of wild and cultivated wheat species. Russ. J. Genet. 45:15401547.Google Scholar
Kao, R. H., Brown, C. S., and Hufbauer, R. A. 2008. High phenotypic and molecular variation in downy brome (Bromus tectorum). Invasive Plant Sci. Manag. 1:216225.Google Scholar
Mason-Gamer, R. J. 2005. The ß-amylase genes of grasses and a phylogenetic analysis of the Triticeae (Poaceae). Am. J. Bot. 92:10451058.Google Scholar
Novak, S. J. and Sforza, R. 2008. Genetic analysis of native and introduced populations of Taeniatherum caput-medusae (Poaceae): implications for biological control. Pages 422428 in Proceedings of the XII International Symposium on Biological Control of Weeds. Wallingford, UK CAB International.Google Scholar
PRISM Data Group. 2012. PRISM Climate Group. http://www.prism.oregonstate.edu. Accessed November 27, 2012.Google Scholar
Pritchard, J. K., Stephens, M., and Donnelly, P. 2000. Inference of population structure using multilocus genotype data. Genetics 155:945959.Google Scholar
Somers, D. J., Isaac, P., and Edwards, K. 2004. A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.). Theor. Appl. Genet. 109:11051114.CrossRefGoogle ScholarPubMed
[USDA-ARS] U.S. Department of Agriculture-Agricultural Research Service. 2013. GrainGenes: A database for Triticeae and Avena . http://wheat.pw.usda.gov/GG2/index.shtml. Accessed March 12, 2013.Google Scholar
[USDA-NRCS] U.S. Department of Agriculture–Natural Resources Conservation Service. 2012. Plants National Database. http://plants.usda.gov. Accessed November 27, 2012.Google Scholar
[USFS] U.S. Forest Service. 2011. U.S. Forest Service, Rocky Mountain Research Station, Boise Aquatic Research Laboratory. http://www.fs.fed.us/rm/boise/research/gis/maps/GreatBasinMap.jpg. Accessed: November 27, 2012.Google Scholar
[USDHHS] U.S. Department of Health and Human Services-National Institutes of Health-National Library of Medicine-National Center for Biotechnology Information. 2013. BLAST. http://blast.ncbi.nlm.nih.gov/Blast.cgi. Accessed March 12, 2013.Google Scholar
Wang, M. L., Barkley, N. A., Yu, J-K., Dean, R. E., Newman, M. L., Sorrells, M. E., and Pederson, G. A. 2005. Transfer of simple sequence repeat (SSR) markers from major cereal crops to minor grass species for germplasm characterization and evaluation. Plant Genet. Resour. 3:4557.Google Scholar
Zhu, X. C., Wu, H. W., Raman, H., Lemerle, D., Stanton, R., and Burrows, G. E. 2012. Evaluation of simple sequence repeat (SSR) markers from Solanum crop species for Solanum elaeagnifolium . Weed Res. 52:217223.Google Scholar