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Inheritance of Glyphosate Resistance in Hairy Fleabane (Conyza bonariensis) from California

Published online by Cambridge University Press:  20 January 2017

Miki Okada  and
Marie Jasieniuk
Miki Okada*
Affiliation:
Department of Plant Sciences, Mail Stop 4, University of California, Davis, One Shields Avenue, Davis, CA 95616
Marie Jasieniuk
Affiliation:
Department of Plant Sciences, Mail Stop 4, University of California, Davis, One Shields Avenue, Davis, CA 95616
*
Corresponding author's E-mail: [email protected]
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Abstract

Inheritance of glyphosate resistance was investigated in hairy fleabane populations from California as part of providing the information needed to predict and manage resistance and to gain insight into resistance mechanism (or mechanisms) present in the populations. Three glyphosate-resistant individuals grown from seed collected from distinct sites near Fresno, CA, were crossed to individuals from the same susceptible population to create reciprocal F1 populations. A single individual from each of the F1 populations was used to create a backcross population with a susceptible maternal parent, and an F2 population. Based on dose response analyses, reciprocal F1 populations were not statistically different from each other, more similar to the resistant parent, and statistically different from the susceptible parent, consistent with nuclear control of the trait and dominance to incomplete dominance of resistance over susceptibility in all three crosses. Glyphosate resistance in two of the three crosses segregated in the backcross and the F2 populations as a single-locus trait. In the remaining cross, the resistant parent had approximately half the resistance level as the other two resistant parents, and the segregation of glyphosate resistance in backcross and F2 populations conformed to a two-locus model with resistance alleles acting additively and at least two copies of the allele required for expression of resistance. This two-locus model of the segregation of glyphosate resistance has not been reported previously. Variation in the pattern of inheritance and the level of resistance indicate that multiple resistance mechanisms may be present in hairy fleabane populations in California.

Keywords

Glyphosatehairy fleabane, Conyza bonariensis (L.) Cronq.Glyphosate resistanceinheritance
Type
Weed Biology and Ecology
Information
Weed Science , Volume 62 , Issue 2 , June 2014 , pp. 258 - 266
Copyright
Copyright © Weed Science Society of America 

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Footnotes

Current address: Department of Evolution and Ecology, University of California, Davis, One Shields Avenue, Davis, CA 95616.

References

Literature Cited

Baerson, SR, Rodriguez, DJ, Tran, M, Feng, Y, Biest, NA, Dill, GM (2002) Glyphosate-resistant goosegrass. Identification of a mutation in the target enzyme 5-enolpyruvylshikimate-3-phosphate synthase. Plant Physiol. 129:1265–1275 Google Scholar
Baylis, AD (2000) Why glyphosate is a global herbicide: strengths, weaknesses and prospects. Weed Manag Sci. 56:299–308 Google Scholar
Busi, R, Powles, SB (2009) Evolution of glyphosate resistance in a Lolium rigidum population by glyphosate selection at sublethal doses. Heredity. 103:318–325 Google Scholar
Busi, R, Powles, SB (2011) Reduced sensitivity to paraquat evolves under selection with low glyphosate doses in Lolium rigidum . Agron Sustain Dev. 31:525–531 Google Scholar
[CADPR] California Department of Pesticide Regulation (2004) A Better Way to Protect Groundwater. Consumer Fact Sheets. http://www.cdpr.ca.gov/docs/emon/grndwtr/factsheet.pdf. Accessed April 23, 2013Google Scholar
[CADPR] California Department of Pesticide Regulation (2009) Pesticide Use Reporting. http://www.cdpr.ca.gov/docs/pur/pur09rep/09_pur.htm. Accessed April 23, 2013Google Scholar
Délye, C, Jasieniuk, M, LeCorre, V (2013) Deciphering the evolution of herbicide resistance in weeds. Trends Genet. 29:649–658 Google Scholar
Dinelli, G, Marotti, I, Bonetti, A, Catizone, P, Urbano, JM, Barnes, J (2008) Physiological and molecular bases of glyphosate resistance in Conyza bonariensis biotypes from Spain. Weed Res. 48:257–265 Google Scholar
Duke, SO, Powles, SB (2008) Glyphosate: a once-in-a-century herbicide. Pest Manag Sci. 64:319–325 Google Scholar
Feng, PCC, Tran, M, Chiu, T, Sammons, RD, Heck, GR, CaJacob, CA (2004) Investigations into glyphosate-resistant horseweed (Conyza canadensis): retention, uptake, translocation, and metabolism. Weed Sci. 52:498–505 Google Scholar
Heap, I (2013) The International Survey of Herbicide Resistant Weeds. http://www.weedscience.com. Accessed April 19, 2013Google Scholar
Jasieniuk, M, Brûlé-Babel, AL, Morrison, IN (1996) The evolution and genetics of herbicide resistance in weeds. Weed Sci. 44:176–193 Google Scholar
Kaundun, SS, Dale, RP, Zelaya, IA, Dinelli, G, Marotti, I, McIndoe, E, Cairns, A (2011) A novel P106L mutation in EPSPS and an unknown mechanism(s) act additively to confer resistance to glyphosate in a South African Lolium rigidum population. J Agric Food Chem. 59:3227–3233 Google Scholar
Keil, DJ, Nesom, GL (2012) Erigeron bonariensis L. in Jepson Flora Project, eds. eFlora, Jepson. http://ucjeps.berkeley.edu/cgi-bin/get_IJM.pl?tid=2305. Accessed March 28, 2013Google Scholar
Lande, R (1981) The number of genes contributing to quantitative variation between and within populations. Genetics. 99:541–553 Google Scholar
Lorraine-Colwill, DF, Powles, SB, Hawkes, TR, Preston, C (2001) Inheritance of evolved glyphosate resistance in Lolium rigidum (Gaud.). Theor Appl Genet. 201:545–550 Google Scholar
Maxwell, BD, Roush, ML, Radosevich, SR (1990) Predicting the evolution and dynamics of herbicide resistance in weed populations. Weed Res. 4:2–13 Google Scholar
Moretti, ML, Hanson, BD, Hembree, KJ, Shrestha, A (2013) Glyphosate resistance is more variable than paraquat resistance in a multiple-resistant hairy fleabane (Conyza bonariensis) population. Weed Sci. 61:396–402 Google Scholar
Ng, C-H, Ratnam, W, Surif, S, Ismail, BS (2004) Inheritance of glyphosate resistance in goosegrass (Eleusine indica). Weed Sci. 52:564–570 Google Scholar
Norsworthy, JK, Ward, SM, Shaw, DR, Llewellyn, RS, Nichols, RL, Webster, TM, Bradley, KW, Frisvold, G, Powles, SB, Burgos, NR, Will, WW, Barrett, M (2012) Reducing the risk of herbicide resistance: best management practices and recommendations. Weed Sci. 60(sp1):31–62 Google Scholar
Okada, M, Hanson, BD, Hembree, KJ, Peng, Y, Shrestha, A, Stewart, CN Jr., Wright, SD, Jasieniuk, M (2013) Evolution and spread of glyphosate resistance in Conyza canadensis in California. Evol Appl. 6:761–777 Google Scholar
Owen, MDK (2008) Weed species shifts in glyphosate-resistant crops. Weed Manag Sci. 64:377–387 Google Scholar
Petit, C, Duhieu, B, Boucansaud, K, Délye, C (2010) Complex genetic control of non–target-site-based resistance to herbicides inhibiting acetyl-coenzyme A carboxylase and acetolactase-synthase in Alopecurus myosuroides . Huds Plant Sci. 178:501–509 Google Scholar
Powles, SB (2008) Evolved glyphosate-resistant weeds around the world: lessons to be learnt. Weed Manag Sci. 64:360–365 Google Scholar
Powles, SB, Yu, Q (2010) Evolution in action: plants resistant to herbicides. Annu Rev Plant Biol. 61:317–347 Google Scholar
Preston, C, Wakelin, AM, Dolman, FC, Bostaman, Y, Boutsalis, P (2009) A decade of glyphosate-resistant Lolium around the world: mechanisms, genes, fitness, and agronomic management. Weed Sci. 57:435–441 Google Scholar
R Development Core Team (2012) R: A Language and Environment for Statistical Computing. http://www.R-project.org Accessed March 12, 2012Google Scholar
Ritz, C, Streibig, JC (2005) Bioassay analysis using R. J Stat Softw. 12:1–22 Google Scholar
Ritz, C, Streibig, JC (2013) Package drc. http://cran.r-project.org/web/packages/drc/drc.pdf. Accessed April 9, 2013Google Scholar
Shaner, DL (2000) The impact of glyphosate-tolerant crops on the use of other herbicides and on resistance management. Weed Manag Sci. 56:320–326 Google Scholar
Shrestha, A, Hembree, KJ, Hanson, BD (2008) Glyphosate-resistant hairy fleabane documented in the Central Valley. Calif Agric. 62:116–119 Google Scholar
Shrestha, A, Hembree, KJ, Va, N (2007) Growth stage influences level of resistance in glyphosate-resistant horseweed. Calif Agric. 61:67–70 Google Scholar
Simarmata, M, Bughrara, S, Penner, D (2005) Inheritance of glyphosate resistance in rigid ryegrass (Lolium rigidum) from California. Weed Sci. 53:615–619 Google Scholar
Simarmata, M, Penner, D (2008) The basis of glyphosate resistance in rigid ryegrass (Lolium rigidum) from California. Weed Sci. 56:181–188 Google Scholar
Thébaud, C, Abbott, RJ (1995) Characterization of invasive Conyza species (Asteracae) in Europe: quantitative trait and isozyme analysis. Am J Bot. 82:360–368 Google Scholar
Wakelin, AM, Lorraine-Colwill, DF, Preston, C (2004) Glyphosate resistance in four different populations of Lolium rigidum is associated with reduced translocation of glyphosate to meristematic zones. Weed Res. 44:453–459 Google Scholar
Wakelin, AM, Preston, C (2006) Inheritance of glyphosate resistance in several populations of rigid ryegrass (Lolium rigidum) from Australia. Weed Sci. 54:212–219 Google Scholar
Woodburn, AT (2000) Glyphosate: production, pricing and use worldwide. Weed Manag Sci. 56:309–312 Google Scholar
Yu, Q, Cairns, A, Powles, S (2007) Glyphosate, paraquat and ACCase multiple herbicide resistance evolved in a Lolium rigidum biotype. Planta. 225:499–513 Google Scholar
Zelaya, LA, Owen, MDK, VanGessel, MJ (2007) Inheritance of evolved glyphosate resistance in Conyza canadensis (L.) Cronq. Theor Appl Genet. 110:58–70 Google Scholar