Can new herbicide discovery allow weed management to outpace resistance evolution?
Amaranthus palmeri
Lolium rigidum
herbicide discovery
herbicide resistance
integrated weed management
resistance evolution
Journal
Pest management science
ISSN: 1526-4998
Titre abrégé: Pest Manag Sci
Pays: England
ID NLM: 100898744
Informations de publication
Date de publication:
Jul 2021
Jul 2021
Historique:
revised:
29
04
2021
received:
03
03
2021
accepted:
04
05
2021
pubmed:
5
5
2021
medline:
16
6
2021
entrez:
4
5
2021
Statut:
ppublish
Résumé
While herbicides are the most effective and widely adopted weed management approach, the evolution of multiple herbicide resistance in damaging weed species threatens the yield and profitability of many crops. Weeds accumulate multiple resistance mechanisms through sequential selection and/or gene flow, with long-range and international transport of herbicide-resistant weeds proving to be a serious issue. Metabolic resistance mechanisms can confer resistance across multiple sites of action and even to herbicides not yet discovered. When a new site of action herbicide is introduced to control a key driver weed, it likely will be one of very few effective available herbicide options for that weed in a specific crop due to the continuous use of herbicides over the years and the resulting accumulation of resistance mechanisms, placing it at even higher risk to be rapidly lost to resistance due to the high selection pressure it will experience. The number of available, effective herbicides for certain driver weeds is decreasing over time because the rate of resistance evolution is faster than the rate of new herbicide discovery. Effective monitoring for species movement and diagnostics for resistance should be deployed to rapidly identify emerging resistance to any new site of action. While innovation in herbicide discovery is urgently needed to combat the pressing issue of resistance in weeds, the rate of selection for herbicide resistance in weeds must be slowed through changes in the patterns of how herbicides are used. © 2021 Society of Chemical Industry. © 2021 Society of Chemical Industry.
Substances chimiques
Herbicides
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3036-3041Informations de copyright
© 2021 Society of Chemical Industry.
Références
Peters B and Strek H, Herbicide discovery in light of rapidly spreading resistance and ever increasing regulatory hurdles. Pest Manag Sci 74:2211-2215 (2018).
Heap I, The international survey of herbicide resistant weeds. Available: www.weedscience.com. [17 February 2021]
Schroeder J, Barrett M, Shaw DR, Asmus AB, Coble H, Ervin D et al., Managing wicked herbicide-resistance: lessons from the field. Weed Technol 32:475-488 (2018).
Shaw DR, The “wicked” nature of the herbicide resistance problem. Weed Sci 64:552-558 (2016).
Jussaume RA and Ervin D, Understanding weed resistance as a wicked problem to improve weed management decisions. Weed Sci 64:559-569 (2016).
Neve P, Vila-Aiub M and Roux F, Evolutionary thinking in agricultural weed management. New Phytol 184:783-793 (2009).
Gaines TA, Duke SO, Morran S, Rigon CAG, Tranel PJ, Küpper A et al., Mechanisms of evolved herbicide resistance. J Biol Chem 295:10307-10330 (2020).
Délye C, 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 (2013).
Shergill LS, Bish MD, Jugulam M and Bradley KW, Molecular and physiological characterization of six-way resistance in an Amaranthus tuberculatus var. rudis biotype from Missouri. Pest Manag Sci 74:2688-2698 (2018).
Kumar V, Liu R, Boyer G and Stahlman PW, Confirmation of 2, 4-D resistance and identification of multiple resistance in a Kansas palmer amaranth (Amaranthus palmeri) population. Pest Manag Sci 75:2925-2933 (2019).
Beckie HJ, Busi R, Bagavathiannan MV and Martin SL, Herbicide resistance gene flow in weeds: under-estimated and under-appreciated. Agr Ecosyst Environ 283:106566 (2019).
Baucom RS, Evolutionary and ecological insights from herbicide-resistant weeds: what have we learned about plant adaptation, and what is left to uncover? New Phytol 223:68-82 (2019).
Neve P, Busi R, Renton M and Vila-Aiub MM, Expanding the eco-evolutionary context of herbicide resistance research. Pest Manag Sci 70:1385-1393 (2014).
Küpper A, Borgato EA, Patterson EL, Netto AG, Nicolai M, Carvalho SJ et al., Multiple resistance to glyphosate and acetolactate synthase inhibitors in Palmer amaranth (Amaranthus palmeri) identified in Brazil. Weed Sci 65:317-326 (2017).
Gaines T, Slavov G, Hughes D, Kuepper A, Sparks C, Oliva J et al., Investigating the origins and evolution of a glyphosate-resistant weed invasion in South America. DOI: https://doi.org/10.22541/au.160437968.181412962/v160437961 (2020).
Gaines TA, Zhang W, Wang D, Bukun B, Chisholm ST, Shaner DL et al., Gene amplification confers glyphosate resistance in Amaranthus palmeri. Proc Natl Acad Sci USA 107:1029-1034 (2010).
Koo D-H, Molin WT, Saski CA, Jiang J, Putta K, Jugulam M et al., Extrachromosomal circular DNA-based amplification and transmission of herbicide resistance in crop weed Amaranthus palmeri. Proc Natl Acad Sci U S A 115:3332-3337 (2018).
Molin WT, Patterson EL and Saski CA, Homogeneity among glyphosate-resistant Amaranthus palmeri in geographically distant locations. PLoS ONE 15:e0233813 (2020).
Molin WT, Yaguchi A, Blenner MA and Saski CA, The eccDNA replicon: a heritable, extra-nuclear vehicle that enables gene amplification and glyphosate resistance in Amaranthus palmeri. Plant Cell 32:2132-2140 (2020).
Owen MD, Beckie HJ, Leeson JY, Norsworthy JK and Steckel LE, Integrated pest management and weed management in the United States and Canada. Pest Manag Sci 71:357-376 (2015).
Ravet K, Sparks C, Dixon A, Küpper A, Westra E, Pettinga D et al., Genomic-based epidemiology reveals gene flow and independent origins of glyphosate resistance in Bassia scoparia populations across North America. DOI: https://doi.org/10.22541/au.160424470.109561872/v160424471 (2020).
Patterson EL, Saski CA, Sloan DB, Tranel PJ, Westra P and Gaines TA, The draft genome of Kochia scoparia and the nechanism of glyphosate resistance via transposon-mediated EPSPS tandem gene duplication. Genome Biol Evol 11:2927-2940 (2019).
Brusa A, Patterson EL, Gaines TA, Dorn K, Westra P, Sparks CD et al., A needle in a seedstack: an improved method for detection of rare alleles in bulk seed testing through KASP. Pest Manag Sci 77:2477-2484 (2021).
Murphy BP, Plewa DE, Phillippi E, Bissonnette SM and Tranel PJ, A quantitative assay for Amaranthus palmeri identification. Pest Manag Sci 73:2221-2224 (2017).
Patterson EL, Saski C, Küpper A, Beffa R and Gaines TA, Omics potential in herbicide-resistant weed management. Plan Theory 8:607 (2019).
Nandula VK, Riechers DE, Ferhatoglu Y, Barrett M, Duke SO, Dayan FE et al., Herbicide metabolism: crop selectivity, bioactivation, weed resistance, and regulation. Weed Sci 67:149-175 (2019).
Maroli AS, Gaines TA, Foley ME, Duke SO, Doğramacı M, Anderson JV et al., Omics in weed science: a perspective from genomics, transcriptomics, and metabolomics approaches. Weed Sci 66:681-695 (2018).
Ravet K, Patterson EL, Krähmer H, Hamouzová K, Fan L, Jasieniuk M et al., The power and potential of genomics in weed biology and management. Pest Manag Sci 74:2216-2225 (2018).
Han H, Yu Q, Beffa R, González S, Maiwald F, Wang J et al., Cytochrome P450 CYP81A10v7 in Lolium rigidum confers metabolic resistance to herbicides across at least five modes of action. Plant J 105:79-92 (2021).
Edwards R and Onkokesung N, Resisting resistance: new applications for molecular diagnostics in crop protection. Biochemistry 42:6-12 (2020).
Kaundun SS, Syngenta's contribution to herbicide resistance research and management. Pest Manag Sci 77:1564-1571 (2021).
Beffa R, Figge A, Lorentz L, Hess M, Laber B and Ruiz-Santaella JP, Weed resistance diagnostic technologies to detect herbicide resistance in cereal growing areas. A review. Julius-Kühn-Archiv 434:75-80 (2012).
Christopher JT, Preston C and Powles SB, Malathion antagonizes metabolism-based chlorsulfuron resistance in Lolium rigidum. Pest Biochem Physiol 49:172-182 (1994).
Cummins I, Wortley DJ, Sabbadin F, He Z, Coxon CR, Straker HE et al., Key role for a glutathione transferase in multiple-herbicide resistance in grass weeds. Proc Natl Acad Sci USA 110:5812-5817 (2013).
Gaines TA, Patterson EL and Neve P, Molecular mechanisms of adaptive evolution revealed by global selection for glyphosate resistance. New Phytol 223:1770-1775 (2019).
Beckie HJ and Reboud X, Selecting for weed resistance: herbicide rotation and mixture. Weed Technol 23:363-370 (2009).
Lagator M, Vogwill T, Colegrave N and Neve P, Herbicide cycling has diverse effects on evolution of resistance in Chlamydomonas reinhardtii. Evol Appl 6:197-206 (2013).
Lagator M, Vogwill T, Mead A, Colegrave N and Neve P, Herbicide mixtures at high doses slow the evolution of resistance in experimentally evolving populations of Chlamydomonas reinhardtii. New Phytol 198:938-945 (2013).
Beckie HJ, Busi R, Lopez-Ruiz F and Umina P, Are resistance management strategies essentially the same for herbicides, fungicides, insecticides and antibiotics? Pest Manage Sci (2021). https://doi.org/10.1002/ps.6395.
Gressel J and Segel LA, Modeling the effectiveness of herbicide rotations and mixtures as strategies to delay or preclude resistance. Weed Technol 4:186-198 (1990).
Diggle A, Neve P and Smith F, Herbicides used in combination can reduce the probability of herbicide resistance in finite weed populations. Weed Res 43:371-382 (2003).
REX Consortium, Heterogeneity of selection and the evolution of resistance. Trends Ecol Evol 28:110-118 (2013).
Wrubel RP and Gressel J, Are herbicide mixtures useful for delaying the rapid evolution of resistance - a case-study. Weed Technol 8:635-648 (1994).
Busi R and Beckie HJ, Are herbicide mixtures immune to resistance? A case study with Lolium rigidum. Weed Res 61:92-99 (2021).
Busi R, Resistance to herbicides inhibiting the biosynthesis of very-long-chain fatty acids. Pest Manag Sci 70:1378-1384 (2014).
Brunton DJ, Boutsalis P, Gill G and Preston C, Varying responses of field-selected herbicide-resistant rigid ryegrass (Lolium rigidum) populations to combinations of phorate with PPI herbicides. Weed Sci 68:367-372 (2020).
Chen J, Lu H, Han H, Yu Q, Sayer C and Powles S, Genetic inheritance of dinitroaniline resistance in an annual ryegrass population. Plant Sci 283:189-194 (2019).
Busi R, Powles SB, Beckie HJ and Renton M, Rotations and mixtures of soil-applied herbicides delay resistance. Pest Manag Sci 76:487-496 (2019).
Wu C, Davis AS and Tranel PJ, Limited fitness costs of herbicide-resistance traits in Amaranthus tuberculatus facilitate resistance evolution. Pest Manag Sci 74:293-301 (2018).
Sukhoverkov KV and Mylne JS, A systematic approach for finding herbicide synergies. bioRxiv:2021.2002.2008.430187 (2021).
Gressel J, Perspective: present pesticide discovery paradigms promote the evolution of resistance-learn from nature and prioritize multi-target site inhibitor design. Pest Manag Sci 76:421-425 (2020).
Dayan FE, Current status and future prospects in herbicide discovery. Plan Theory 8:341 (2019).
Bajsa J, Pan Z, Dayan FE, Owens DK and Duke SO, Validation of serine/threonine protein phosphatase as the herbicide target site of endothall. Pest Biochem Physiol 102:38-44 (2012).
Campe R, Hollenbach E, Kämmerer L, Hendriks J, Höffken HW, Kraus H et al., A new herbicidal site of action: Cinmethylin binds to acyl-ACP thioesterase and inhibits plant fatty acid biosynthesis. Pest Biochem Physiol 148:116-125 (2018).
Kahlau S, Schröder F, Freigang J, Laber B, Lange G, Passon D et al., Aclonifen targets solanesyl diphosphate synthase, representing a novel mode of action for herbicides. Pest Manag Sci 76:3377-3388 (2020).
Selby TP, Satterfield AD, Puri AE, Travis MJ, Campbell AE, Taggi KA et al., The discovery of aryl pyrrolidinone anilides: a new mode-of-action herbicide class that inhibits dihydroorotate dehydrogenase. Ghent Crop Protect Chem 3.4:1 (2019).
Yan Y, Liu Q, Zang X, Yuan S, Bat-Erdene U, Nguyen C et al., Resistance-gene-directed discovery of a natural-product herbicide with a new mode of action. Nature 559:415-418 (2018).
Hachisu S, Strategies for discovering resistance-breaking, safe and sustainable commercial herbicides with novel modes of action and chemotypes. Pest Manag Sci (2021). (in press).
Yasuor H, Milan M, Eckert JW and Fischer AJ, Quinclorac resistance: a concerted hormonal and enzymatic effort in Echinochloa phyllopogon. Pest Manag Sci 68:108-115 (2012).
Schroeder J, Barrett M, Shaw DR, Asmus AB, Coble H, Ervin D et al., Managing herbicide resistance: listening to the perspectives of practitioners. Procedures for conducting listening sessions and an evaluation of the process. Weed Technol 32:489-497 (2018).
Davis AS and Frisvold GB, Are herbicides a once in a century method of weed control? Pest Manag Sci 73:2209-2220 (2017).
Dentzman K, Gunderson R and Jussaume R, Techno-optimism as a barrier to overcoming herbicide resistance: comparing farmer perceptions of the future potential of herbicides. J Rural Stud 48:22-32 (2016).
Ervin DE, Breshears EH, Frisvold GB, Hurley T, Dentzman KE, Gunsolus JL et al., Farmer attitudes toward cooperative approaches to herbicide resistance management: a common pool ecosystem service challenge. Ecol Econ 157:237-245 (2019).
Barrett M, Soteres J and Shaw D, Carrots and sticks: incentives and regulations for herbicide resistance management and changing behavior. Weed Sci 64:627-640 (2016).
Powles SB and Gaines TA, Exploring the potential for a regulatory change to encourage diversity in herbicide use. Weed Sci 64:649-654 (2016).
Dayan FE, Barker A and Tranel PJ, Origins and structure of chloroplastic and mitochondrial plant protoporphyrinogen oxidases: implications for the evolution of herbicide resistance. Pest Manag Sci 74:2226-2234 (2018).
Powles SB and Yu Q, Evolution in action: plants resistant to herbicides. Annu Rev Plant Biol 61:317-347 (2010).
Ward SM, Webster TM and Steckel LE, Palmer amaranth (Amaranthus palmeri): a review. Weed Technol 27:12-27 (2013).
Bagavathiannan MV and Davis AS, An ecological perspective on managing weeds during the great selection for herbicide resistance. Pest Manag Sci 74:2277-2286 (2018).
Gressel J and Levy AA, Agriculture: the selector of improbable mutations. Proc Natl Acad Sci USA 103:12215-12216 (2006).