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Spatial Distribution of Acetolactate Synthase Resistance Mechanisms in Neighboring Populations of Silky Windgrass (Apera spica-venti)

Published online by Cambridge University Press:  25 May 2017

Marielle Babineau ,
Solvejg K. Mathiassen ,
Michael Kristensen ,
Niels Holst ,
Roland Beffa  and
Per Kudsk
Marielle Babineau
Affiliation:
Graduate Student, Senior Scientist, Associate Professor, Senior Scientist, and Professor, Department of Agroecology, Aarhus University, Flakkebjerg Research Center, Forsoegsvej 1, DK-4200 Slagelse, Denmark
Solvejg K. Mathiassen
Affiliation:
Graduate Student, Senior Scientist, Associate Professor, Senior Scientist, and Professor, Department of Agroecology, Aarhus University, Flakkebjerg Research Center, Forsoegsvej 1, DK-4200 Slagelse, Denmark
Michael Kristensen
Affiliation:
Graduate Student, Senior Scientist, Associate Professor, Senior Scientist, and Professor, Department of Agroecology, Aarhus University, Flakkebjerg Research Center, Forsoegsvej 1, DK-4200 Slagelse, Denmark
Niels Holst
Affiliation:
Graduate Student, Senior Scientist, Associate Professor, Senior Scientist, and Professor, Department of Agroecology, Aarhus University, Flakkebjerg Research Center, Forsoegsvej 1, DK-4200 Slagelse, Denmark
Roland Beffa
Affiliation:
Weed Biology Researcher, Weed Resistance Research, Bayer CropScience, Industriepark Hoecht, Building H872, Frankfurt 65926, Germany
Per Kudsk*
Affiliation:
Graduate Student, Senior Scientist, Associate Professor, Senior Scientist, and Professor, Department of Agroecology, Aarhus University, Flakkebjerg Research Center, Forsoegsvej 1, DK-4200 Slagelse, Denmark
*
*Corresponding author’s E-mail: per.kudsk@agro.au.dk
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Abstract

Silky windgrass is a serious weed in central and northern Europe. Its importance has escalated in recent years because of its growing resistance to acetolactate synthase (ALS)-inhibiting herbicides. This study investigated the resistance level for three herbicide sites of action in eight silky windgrass populations, collected in fields neighboring a field where iodosulfuron sodium salt–resistant silky windgrass had previously been found. Target site resistance (TSR) and non–target site resistance (NTSR) mechanisms were identified, and a spatial gradient distribution hypothesis of ALS resistance was tested. Populations showed large variations in ED50 values to iodosulfuron, with resistance indices (RIs) ranging from 0.1 to 372. No cross-resistance was found to other herbicide groups with the same site of action as iodosulfuron. In contrast, resistance was observed to the acetyl-CoA carboxylase inhibitor, fenoxaprop ethyl ester (RI from 0.7 to 776), while the activity of prosulfocarb, an inhibitor of long-chain fatty-acid synthesis, was unaffected. Iodosulfuron-resistant phenotypes were associated with NTSR, while fenoxaprop ethyl ester resistance was caused by both NTSR and TSR (Ile-1781-Leu mutation). A large-scale trend in the spatial distribution of resistance to ALS indicated a decreasing resistance with increased distance from an epicenter. After finer-scale analysis, less than 0.05% of the residual variation could be attributed to spatial autocorrelation. The spatial resistance pattern was not correlated with the dominant wind direction, while there was a correlation between the resistant phenotype and type of crop. This study underlines that NTSR mechanisms do not always confer broad resistance to different herbicide subclasses and site of action, hence the complex relationship to resistant phenotype. NTSR mechanisms, in particular detoxification, were present at different levels for the herbicides tested in the silky windgrass populations of this study. The factors contributing to the spatial distribution of resistance remain elusive.

Keywords

iodosulfuron sodium salt; fenoxaprop ethyl ester; prosulfocarb; pyroxsulam;silky windgrass, Apera spica-venti (L.) Beauv. APESV.ACCasecross-resistancefatty-acid synthesis inhibitorsimazethapyrmultiple resistancepyroxsulamresistance patterntarget-site resistancenon–target site resistance
Type
Weed Biology and Ecology
Information
Weed Science , Volume 65 , Issue 4 , July 2017 , pp. 479 - 490
Copyright
© Weed Science Society of America, 2017 

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Footnotes

Associate Editor for this paper: Vijay Nandula, USDA–ARS

References

Literature Cited

Adamczewski, K, Kierzek, R, Matysiak, R (2009) Influence of long term use herbicides on resistance development in Apera spica-venti L. to sulfonylureas. Commun Agric Appl Biol Sci 74:491–496 Google ScholarPubMed
Anonymous (2008) Product Safety Assessment: Pyroxsulam. Dow Chemical Company Form No. 233-00536-MM-0511:1-7Google Scholar
Beckie, HJ (2011) Herbicide-resistant weed management: focus on glyphosate. Pest Manag Sci 67:1037–1048 CrossRefGoogle ScholarPubMed
Beckie, HJ, Heap, IM, Smeda, RJ, Hall, LM (2000) Screening for herbicide resistance in weeds. Weed Technol 14:428–445 CrossRefGoogle Scholar
Benjamini, Y, Hochberg, Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B Methodol 57:289–300 Google Scholar
Burgos, NR, Tranel, PJ, Streibig, JC, Davis, VM, Shaner, D, Norsworthy, JK, Ritz, C (2013) Review: confirmation of resistance to herbicides and evaluation of resistance levels. Weed Sci 61:4–20 CrossRefGoogle Scholar
Cavan, G, Cussans, J, Moss, SR (2000) Modelling different cultivation and herbicide strategies for their effect on herbicide resistance in Alopecurus myosuroides . Weed Res 40:561–568 CrossRefGoogle Scholar
Dale, PJ (1992) Spread of engineered genes to wild relatives. Plant Physiol 100:13 CrossRefGoogle ScholarPubMed
Délye, C (2013) Unravelling the genetic bases of non-target-site-based resistance (NTSR) to herbicides: a major challenge for weed science in the forthcoming decade. Pest Manag Sci 69:176–187 CrossRefGoogle Scholar
Délye, C, Gardin, JAC, Boucansaud, K, Chauvel, B, Petit, C (2011) Non-target-site-based resistance should be the centre of attention for herbicide resistance research: Alopecurus myosuroides as an illustration: why we need more research on NTSR. Weed Res 51:433–437 CrossRefGoogle Scholar
Délye, C, Michel, S (2005) Universal primers for PCR-sequencing of grass chloroplastic acetyl-CoA carboxylase domains involved in resistance to herbicides. Weed Res 45:323–330 CrossRefGoogle Scholar
De Mol, F, Gerowitt, B, Kaczmarek, S, Matysiak, K, Sønderskov, M, Mathiassen, SK (2015) Intraregional and inter-regional variability of herbicide sensitivity in common arable weed populations. Weed Res 55:370–379 CrossRefGoogle Scholar
Diggle, AJ, Neve, PB, Smith, FP (2003) Herbicides used in combination can reduce the probability of herbicide resistance in finite weed populations. Weed Res 43:371–382 CrossRefGoogle Scholar
Espeby, LÅ, Fogelfors, H, Milberg, P (2011) Susceptibility variation to new and established herbicides: examples of inter-population sensitivity of grass weeds. Crop Prot 30:429–435 CrossRefGoogle Scholar
Fox, GA, Negrete-Yankelevich, S, Sosa, VJ, eds (2015) Ecological Statistics: Contemporary Theory and Application. Oxford: Oxford University Press CrossRefGoogle Scholar
Hall, TA (1999) BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symp Ser 41:95–98 Google Scholar
Hamouzová, K, Košnarová, P, Salava, J, Soukup, J, Hamouz, P (2013) Mechanisms of resistance to acetolactate synthase-inhibiting herbicides in populations of Apera spica-venti from the Czech Republic. Pest Manag Sci 70:541–548 CrossRefGoogle ScholarPubMed
Hamouzová, K, Soukup, J, Jursík, M, Hamouz, P, Venclová, V, TůMová, P (2011) Cross-resistance to three frequently used sulfonylurea herbicides in populations of Apera spica-venti from the Czech Republic. Weed Res 51:113–122 CrossRefGoogle Scholar
Heap, I (2016) The International Survey of Herbicide Resistant Weeds. http://www.weedscience.org. Accessed: September 8, 2016Google Scholar
[HRAC] Herbicide Resistance Action Committee (2016) Confirming Herbicide Resistance. www.hracglobal.com. Accessed: September 14, 2016Google Scholar
Herrmann, J, Hess, M, Schubel, T, Strek, H, Richter, O, Beffa, R (2014) Spatial and temporal development of ACCase and ALS resistant black-grass (Alopecurus myosuroides Huds.) populations in neighboring fields in Germany. Julius-Kühn-Arch 443:273–279 Google Scholar
Hess, M, Beffa, R, Kaiser, J, Laber, B, Menne, H, Strek, H (2012) Status and development of ACCase and ALS inhibitor resistant black-grass (Alopecurus myosuroides Huds.) in neighboring fields in Germany. Julius-Kühn-Arch 434:163–170 Google Scholar
Hull, R, Tatnell, LV, Cook, SK, Beffa, R, Moss, SR (2014) Current status of herbicide-resistant weeds in the UK. Pages 261–272 in Aspects of Applied Biology 127, Crop Production in Southern Britain: Precision Decision for Profitable Cropping. Orson, OR: Association of Applied Biologists.Google Scholar
Jasieniuk, M, Brûlé-Babel, AL, Morrison, IN (1996) The evolution and genetics of herbicide resistance in weeds. Weed Sci 44:176–193 CrossRefGoogle Scholar
Knispel, AL, McLachlan, SM, Van Acker, RC, Friesen, LF (2008) Gene flow and multiple herbicide resistance in escaped canola populations. Weed Sci 56:72–80 CrossRefGoogle Scholar
Krysiak, M, Gawroński, S, Adamczewski, K, Kierzek, R (2011) ALS gene mutations in Apera spica-venti confer broad-range resistance to herbicides. J Plant Prot Res 51:261–267 CrossRefGoogle Scholar
Massa, D, Gerhards, R (2011) Investigation on herbicide resistance in European silky bent grass (Apera spica-venti) populations. J Plant Dis Prot 118:31–39 CrossRefGoogle Scholar
Massa, D, Kaiser, Y, Andújar-Sánchez, D, Carmona-Alférez, R, Mehrtens, J, Gerhards, R (2013) Development of a geo-referenced database for weed mapping and analysis of agronomic factors affecting herbicide resistance in Apera spica-venti L. Beauv. (silky windgrass). Agronomy 3:13–27 CrossRefGoogle Scholar
Massa, D, Krenz, B, Gerhards, R (2011) Target-site resistance to ALS-inhibiting herbicides in Apera spica-venti populations is conferred by documented and previously unknown mutations. Weed Res 51:294–303 CrossRefGoogle Scholar
Mathiassen, S, Kudsk, P, Hensen, L (2013) First cases of herbicide resistance in Apera spica-venti in Scandinavia. Poster session presented at the Global Herbicide Resistance Challenge Conference, Fremantle, AustraliaGoogle Scholar
Maxwell, BD, Roush, ML, Radosevich, SR (1990) Predicting the evolution and dynamics of herbicide resistance in weed populations. Weed Technol 4:2–13 CrossRefGoogle Scholar
Melander, B (1995) Impact of drilling date on Apera spica-venti L. and Alopecurus myosuroides Huds. in winter cereals. Weed Res 35:157–166 CrossRefGoogle Scholar
Melander, B, Holst, N, Jensen, PK, Hansen, EM, Olesen, JE (2008) Apera spica-venti population dynamics and impact on crop yield as affected by tillage, crop rotation, location and herbicide programmes. Weed Res 48:48–57 CrossRefGoogle Scholar
Menchari, Y, Camilleri, C, Michel, S, Brunel, D, Dessaint, F, Le Corre, V, Delye, C (2006) Weed response to herbicides: regional-scale distribution of herbicide resistance alleles in the grass weed Alopecurus myosuroides . New Phytol 171:861–874 CrossRefGoogle ScholarPubMed
Messeguer, J, Fogher, C, Guiderdoni, E, Marfa, V, Catala, MM, Baldi, G, Mele, E (2001) Field assessments of gene flow from transgenic to cultivated rice (Oryza sativa L.) using a herbicide resistance gene as tracer marker. Theor Appl Genet 103:1151–1159 CrossRefGoogle Scholar
Nordmeyer, H (2009) Spatial and temporal dynamics of Apera spica-venti seedling populations. Crop Prot 28:831–837 CrossRefGoogle Scholar
Paterson, E, Shenton, Z, Straszewski, A (2002) Establishment of the baseline sensitivity and monitoring response of Papaver rhoeas populations to florasulam. Pest Manag Sci 58:964–966 CrossRefGoogle ScholarPubMed
Petersen, J, Naruhn, G, Raffel, H (2012) Nicht-Zielortresistenzen bei Alopecurus myosuroides und Apera spica-venti–Resistenzmuster und Resistenzfaktoren. Julius-Kühn-Arch 434:43–50 Google Scholar
Preston, C, Tardif, FJ, Christopher, JT, Powles, SB (1996) Multiple resistance to dissimilar herbicide chemistries in a biotype of Lolium rigidum due to enhanced activity of several herbicide degrading enzymes. Pestic Biochem Physiol 54:123–134 CrossRefGoogle Scholar
R Core Team (2015) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. http://www.R-project.org. Accessed February 24, 2015Google Scholar
Richter, O, Zwerger, P, Böttcher, U (2002) Modelling spatio-temporal dynamics of herbicide resistance. Weed Res 42:52–64 CrossRefGoogle Scholar
Rieger, MA (2002) Pollen-mediated movement of herbicide resistance between commercial canola fields. Science 296:2386–2388 CrossRefGoogle ScholarPubMed
Ritz, C, Streibig, JC (2005) Bioassay analysis using R. J Stat Softw 12:1–22 CrossRefGoogle Scholar
Schulz, A, Mathiassen, SK, de Mol, F (2014) Approaches to early detection of herbicide resistance in Apera spica-venti regarding intra-and inter-field situations. J Plant Dis Prot 121:138–148 CrossRefGoogle Scholar
Schulz, A, Pallutt, B, Gerowitt, B (2011) Effect of crop rotation and reduced nitrogen fertilisation on Apera spica-venti populations in long-term experiments. Commun Agric Appl Biol Sci 76:479–483 Google Scholar
Soukup, J, Novakova, K, Hamouz, P, Namestek, J (2006) Ecology of silky bent grass (Apera spica-venti (L.) Beauv.), its importance and control in the Czech Republic. J Plant Dis Prot 20:73–80 Google Scholar
Wallgren, B, Avholm, K (1978) Dormancy and germination of Apera spica-venti L. and Alopecurus myosuroides Huds. seeds. Swed J Agric Res 8:11–15 Google Scholar
Warwick, SI, Black, LD, Zilkey, BF (1985) Biology of Canadian weeds: 72. Apera spica-venti. Can J Plant Sci 65:711–721 CrossRefGoogle Scholar
Yu, Q, Powles, S (2014) Metabolism-based herbicide resistance and cross-resistance in crop weeds: a threat to herbicide sustainability and global crop production. Plant Physiol 166:1106–1118 CrossRefGoogle Scholar
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