Research into evolutionary physiology involves principles from both the disciplines of evolution and physiology. However investigations into development of resistance to herbicides have often not given much consideration of evolutionary physiology. This paper suggests that a better understanding of herbicide resistance in weeds should be possible by investigating the evolutionary physiology involved.
Keywords: Evolution, herbicide resistance, mechanism of resistance, physiology, weeds
Abstract
Evolutionary physiology merges the disciplines of evolution and physiology, and it is a research approach that has not received much attention for studying the development of herbicide resistance. This paper makes a case for using evolutionary physiology more frequently when studying herbicide resistance, and illustrates this using three areas where more work would be useful: (i) the interaction among major and minor alleles over many generations during the evolution of physiological responses that lead to specific mechanisms of resistance; (ii) the role of epigenetic factors, especially at an early stage of evolution, on the physiological modifications that result in phenotypes that become insensitive to herbicides; and (iii) the interaction between fitness and physiological performance over time, with emphasis on understanding mechanisms that improve the fitness of herbicide-resistant phenotypes during selection.
Introduction
Application of herbicides has been a crucial part of the global weed management strategy (DiTomaso 2002). While herbicides have greatly improved agricultural production, their usefulness is now being compromised by the evolution of resistance in many major weedy plant species (Heap 2014). New cases of herbicide resistance are being reported every year globally (Heap 2017). The evolution of herbicide-resistant weed populations is the adaptive response of weed populations to the selection pressures exerted by persistent applications of herbicides with the same mode of action (Neve 2007). Herbicide resistance is a good example of the adaptability of plant species, making it an interesting topic for evolutionary biologists (Neve et al. 2009).
Studies have been conducted worldwide on the molecular and physiological mechanisms governing herbicide resistance to weedy plant species, which help with the development of more effective strategies to prevent resistance from occurring and also to control resistant weed populations (Powles and Yu 2010). Mechanisms of resistance to herbicides are categorized as being either ‘target site’ or ‘non-target site’ in nature. Target site mechanisms of resistance may involve structural modifications of a target enzyme so herbicides are no longer able to fit exactly to the site of action (Devine and Shukla 2000), or gene amplification/overexpression of the target site, in which the target protein can be produced in large quantities by the plant (Gaines et al. 2010). With non-target site mechanisms, the number of herbicide molecules reaching the target site is reduced, either due to detoxification of herbicides to non-toxic metabolites (enhanced metabolism), or sequestration to other parts of plant cells (e.g. within vacuoles) (Ghanizadeh and Harrington 2017).
The non-target site mechanisms of resistance to herbicides tend to be more complicated than target site mechanisms and are often part of plant stress responses which evolve through time (Délye 2013). Previous studies have focused more on the comparative physiology (e.g. metabolism rate) and physiological ecology (e.g. thermoregulatory performance) of the non-target mechanism of herbicide resistance (Dayan et al. 2014; Sammons and Gaines 2014). The historical patterns and process of physiological evolution of these non-target site mechanisms of herbicide resistance are poorly understood.
Evolutionary physiology is a combined approach of physiology and evolutionary biology to study how and why the functioning of an organism evolves (Feder et al. 2000). Evolutionary physiologists use functional approaches to understand how the physiological characteristics of an organism adapt to a wide range of biotic and abiotic environments over a period of time (Garland and Carter 1994). Despite considerable research on herbicide-resistant weed biotypes, many aspects of the physiological adaptation of these biotypes to herbicides are poorly understood. For example, there are a number of studies on the evolutionary biology of herbicide-resistant biotypes (e.g. Busi et al. 2013). However, there is a poor understanding of the physiological processes encoded by the genes that have been selected by persistent herbicide use, and the impacts of these processes on the evolution of herbicide resistance.
To have a better understanding of the physiological functions involved in mechanisms of herbicide resistance, more needs to be known about their origin and development (Feder et al. 2000). Although evolutionary physiology has been successfully used in human, animal and plant science (Natochin and Chernigovskaya 1997; Feder et al. 2000), this biological approach to study evolution of resistance to herbicides has not received much attention. The objective of this paper is to outline some perspectives regarding the evolutionary physiology of non-target site mechanisms of herbicide resistance and to suggest directions for future studies.
Perspectives on Non-target Site Mechanisms of Herbicide Resistance
Interactions among alleles during evolution
Following exposure of plant populations to adverse environmental conditions, they often evolve complicated stress-response systems over many generations which enable them to adjust to the environment that they inhabit (Cramer et al. 2011). These systems can undergo several modifications as populations face new threats from the environment (Yoshida 2005). Individuals within the population with appropriate heritable alleles survive the environmental stress and can contribute to subsequent generations.
Studies using populations which were initially susceptible to a herbicide have shown that weed populations are capable of evolving resistance to herbicides after 3–4 generations of recurrent applications of sublethal doses of a herbicide (Busi et al. 2013). The selection imposed by herbicides could lead to an accumulation of several alleles that cause some physiological modifications within each generation (Yoshida 2005), resulting in resistance to higher concentrations of the herbicides (Délye 2013). But how do these alleles modify the physiological function of individuals within each generation during the evolution? Also, how do these alleles interact with each other within each generation, and how does this interaction lead to a specific mechanism of resistance?
According to the ‘allele stacking theory’ (Délye 2013), over several generations, progeny plants of the individual plants that survived the application of herbicides accumulate different parental alleles that allowed the progeny plants to become less sensitive to the applied herbicides compared with their parental plants. The accumulation of several alleles in individual plants during the recurrent selection pressure from herbicides could lead to more genetic and physiological variations, thus modifying the physiology of species towards adaptation to herbicides across generations. For instance, Yu et al. (2013) found that recurrent selection of a Lolium rigidum population with sublethal doses of diclofop-methyl resulted in the evolution of enhanced diclofop-methyl metabolism. This enhanced metabolism was due to increased activity of cytochrome P450 enzymes (Gaines et al. 2014). Studies investigating the pattern of inheritance of cytochrome P450 metabolism have shown that this mechanism is governed by two additive genes (Busi et al. 2011). These two genes would accumulate during the selection process, according to the ‘allele stacking’ theory. However, it is not known how these two genes, which have accumulated over several generations, then interacted within each generation to eventually change the physiology of plants sufficiently to increase the cytochrome P450 metabolism enough to cause herbicide resistance. This raises several questions. How did each of these two genes contribute to herbicide metabolism when they were not present in an individual plant simultaneously? Which one of these two genes contributed the most at the early stage of developing resistance to herbicides?
Many studies have shown that minor genes can play a role in the mechanisms of resistance to herbicides (Lorraine-Colwill et al. 2001; Busi and Powles 2009; Busi et al. 2013; Ghanizadeh et al. 2016). It would be interesting to know more about the contribution of these minor genes during early stages of the evolution of herbicide resistance, and the nature of the interaction between these genes that allowed development of the resistance trait.
The impact of epigenetic factors
The epigenetic landscape of an organism can be altered by environmental factors (Richards et al. 2010). Well-known epigenetic regulatory mechanisms include DNA methylation, such as the addition of a methyl group to cytosine nucleotides in DNA (Goll and Bestor 2005), also histone modification, and RNA-mediated modifications (Rapp and Wendel 2005). Although the impact of epigenetic processes in gene regulation due to stress is well documented (Boyko and Kovalchuk 2008), and the role of epigenetic mechanisms in insecticide resistance has been noted (Bass and Field 2011), the role of epigenetic processes in the evolution of herbicide-resistant weedy plants is still unknown.
Epigenetic mechanisms can change the patterns of gene expression as a result of the stress induced by biotic and abiotic agents. In the case of herbicides (as abiotic stress agents), it would be interesting to investigate how epigenetic mechanisms influence the pattern of gene expression in individual plants from populations subjected to gradual increases of herbicide doses (recurrent selection). It would also be interesting to know how epigenetic mechanisms might control the developmental processes underlying physiological responses in herbicide-resistant individuals. For instance, epigenetic factors can influence the level of gene expression in a heritable fashion across the generations involved with the evolution of herbicide resistance, affecting the activity of enzymes involved in the resistance mechanism (Lee et al. 2010).
Studies of non-target site mechanisms of herbicide resistance using RNA-sequencing techniques have shown significant differences in gene expression patterns between resistant and susceptible phenotypes (Gaines et al. 2014; Pan et al. 2016). The difference in gene expression could be the result of modulating protein activity imposed by epigenetic mechanisms passed on through generations of resistant weed biotypes (Ho and Burggren 2010). For instance, epigenetic factors might change the post-translational modification of a protein in individuals experiencing a stress (Sadakierska-Chudy and Filip 2015). This modified protein could then alter the expression or activity of an enzyme that reduces the sensitivity of individuals to the stress (Guerra et al. 2015).
Therefore, exploring the role of epigenetic mechanisms on the pattern of gene expression at each generation during the early stages of evolution could be a very useful exercise in future investigations of the development of herbicide resistance in weed populations. We need to understand how epigenetic mechanisms modify the physiology of individual plants which are becoming resistant to herbicides, and to determine whether the epigenetic factors involved are transgenerational and irreversible.
Fitness and evolutionary physiology
The reproductive success of plants is tightly linked to their fitness, and individuals with greater fitness have a higher frequency of offspring in the next generation (Vila-Aiub et al. 2015). Many studies have investigated the fitness of herbicide-resistant weed biotypes (Vila-Aiub et al. 2009). Plant scientists might look at the fitness of a herbicide-resistant phenotype relative to its susceptible counterpart in order to measure the fitness cost in the absence of environmental stress (Vila-Aiub et al. 2015). However, we are not aware of any studies into the link between physiological performance and the fitness of a phenotype at the early stage of evolution of herbicide resistance with an emphasis on understanding the adaptive systems that herbicide-resistant weedy plants evolve during the process of herbicide resistance selection. We also need to understand how phenotypic variation across generations affects the fitness of the plants under recurrent selection by herbicide applications. It would be particularly interesting to know how pre-existing phenotypic variation (before herbicide selection) within a population interacts with the physiological mechanisms that improve the fitness of herbicide-resistant weeds over the period of selection.
Alleles which control physiological functions in plants can influence the fitness of a phenotype (Orr 2003). The frequency of these alleles could change across generations due to the action of a selective agent (Orr 2009), resulting in phenotypes undergoing some physiological manifestation that diverts more resources into particular organs or functions which affect their fitness (Tian et al. 2003). The maximum number of resistance alleles that individuals within a population can accumulate depends on the number of resistance alleles that exist among the individual plants of that population, and how these resistance alleles affect the fitness of individuals (Délye 2013). However, there is a poor understanding of how the change in the frequency of resistance alleles over time during the selection process for herbicide resistance affects the fitness of individual plants. Many of the traits affecting the relative fitness of a phenotype are physiological responses of individuals, occurring as a result of the expression of specific genes at specific times of development, or under specific prevailing environmental conditions. Determining the links between genetic and non-genetics factors (e.g. phenotypic variations, epigenetic factors, the interaction of alleles, etc.) and physiological manifestations over the period of selection could provide further details about how the fitness of herbicide-resistant phenotypes is affected.
Conclusions
Evolution of herbicide resistance by weed populations is a good example of how plant species can adapt to environmental constraints. Evolutionary biologists have investigated how weed populations evolve resistance to herbicides using artificial selection experiments. A number of new molecular research techniques have recently become widely available, enabling investigators to identify the relationship between variations in DNA sequences, transcriptomes, proteins, metabolite networks and physiological traits. These technologies can facilitate investigations into evolutionary physiology, allowing significant progress to be made in identifying and characterizing the functions of genes involved with herbicide resistance, and the interactions between corresponding proteins, as well as the regulators and pathways involved. Perspectives are outlined above that could lead to research being undertaken to help better understand non-target site mechanisms of herbicide resistance to herbicides, and thus identify factors that might be used to disrupt the evolution of resistance.
Sources of Funding
Some funding was provided by Massey University for this work.
Contributions by the Authors
H.G. conceived and developed the idea. H.G. and K.C.H. wrote the manuscript.
Conflicts of Interest
None declared.
Acknowledgements
We thank the anonymous reviewers for their helpful and constructive comments that greatly contributed to improving the final version of the paper. We also thank the Editors for their generous comments and support during the review process.
Literature Cited
- Bass C, Field LM. 2011. Gene amplification and insecticide resistance. Pest Management Science 67:886–890. [DOI] [PubMed] [Google Scholar]
- Boyko A, Kovalchuk I. 2008. Epigenetic control of plant stress response. Environmental and Molecular Mutagenesis 49:61–72. [DOI] [PubMed] [Google Scholar]
- Busi R, Neve P, Powles S. 2013. Evolved polygenic herbicide resistance in Lolium rigidum by low-dose herbicide selection within standing genetic variation. Evolutionary Applications 6:231–242. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Busi R, Vila-Aiub MM, Powles SB. 2011. Genetic control of a cytochrome P450 metabolism-based herbicide resistance mechanism in Lolium rigidum. Heredity 106:817–824. [DOI] [PMC free article] [PubMed] [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. [DOI] [PubMed] [Google Scholar]
- Cramer GR, Urano K, Delrot S, Pezzotti M, Shinozaki K. 2011. Effects of abiotic stress on plants: a systems biology perspective. BMC Plant Biology 11:163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dayan FE, Owens DK, Tranel PJ, Preston C, Duke SO. 2014. Evolution of resistance to phytoene desaturase and protoporphyrinogen oxidase inhibitors–state of knowledge. Pest Management Science 70:1358–1366. [DOI] [PubMed] [Google Scholar]
- 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 Management Science 69:176–187. [DOI] [PubMed] [Google Scholar]
- Devine MD, Shukla A. 2000. Altered target sites as a mechanism of herbicide resistance. Crop Protection 19:881–889. [Google Scholar]
- DiTomaso JM. 2002. Herbicides. In: Kurtz E, Colbert F, eds. Principles of Weed Control, 3rd edn. California Weed Science Society. Fresno, CA: Thomson Publ, 189–219. [Google Scholar]
- Feder ME, Bennett AF, Huey RB. 2000. Evolutionary physiology. Annual Review of Ecology, Evolution and Systematics 31:315–341. [Google Scholar]
- Gaines TA, Lorentz L, Figge A, Herrmann J, Maiwald F, Ott MC, Han H, Busi R, Yu Q, Powles SB, Beffa R. 2014. RNA-Seq transcriptome analysis to identify genes involved in metabolism-based diclofop resistance in Lolium rigidum. Plant Journal 78:865–876. [DOI] [PubMed] [Google Scholar]
- Gaines TA, Zhang WL, Wang D, Bukun B, Chisholm ST, Shaner DL, Nissen SJ, Patzoldt WL, Tranel PJ, Culpepper AS, Grey TL, Webster TM, Vencill WK, Sammons RD, Jiang JM, Preston C, Leach JE, Westra P. 2010. Gene amplification confers glyphosate resistance in Amaranthus palmeri. Proceedings of the National Academy of Sciences of the United States of America 107:1029–1034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Garland T Jr, Carter PA. 1994. Evolutionary physiology. Annual Review of Physiology 56:579–621. [DOI] [PubMed] [Google Scholar]
- Ghanizadeh H, Harrington KC. 2017. Non-target site mechanisms of resistance to herbicides. Critical Reviews in Plant Sciences 36:24–34. [Google Scholar]
- Ghanizadeh H, Harrington KC, James TK. 2016. Genetic inheritance of restricted herbicide translocation in a glyphosate-resistant Lolium perenne population. New Zealand Journal of Agricultural Research 59:269–279. [Google Scholar]
- Goll MG, Bestor TH. 2005. Eukaryotic cytosine methyltransferases. Annual Review of Biochemistry 74:481–514. [DOI] [PubMed] [Google Scholar]
- Guerra D, Crosatti C, Khoshro HH, Mastrangelo AM, Mica E, Mazzucotelli E. 2015. Post-transcriptional and post-translational regulations of drought and heat response in plants: a spider’s web of mechanisms. Frontiers in Plant Science 6:57. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Heap I. 2014. Global perspective of herbicide-resistant weeds. Pest Management Science 70:1306–1315. [DOI] [PubMed] [Google Scholar]
- Heap I. 2017. International survey of herbicide resistant weeds [online]. http://www.weedscience.org (10 March 2017). [Google Scholar]
- Ho DH, Burggren WW. 2010. Epigenetics and transgenerational transfer: a physiological perspective. The Journal of Experimental Biology 213:3–16. [DOI] [PubMed] [Google Scholar]
- Lee TF, Zhai JX, Meyers BC. 2010. Conservation and divergence in eukaryotic DNA methylation. Proceedings of the National Academy of Sciences of the United States of America 107:9027–9028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lorraine-Colwill DF, Powles SB, Hawkes TR, Preston C. 2001. Inheritance of evolved glyphosate resistance in Lolium rigidum (Gaud.). Theoretical and Applied Genetics 102:545–550. [Google Scholar]
- Natochin YV, Chernigovskaya TV. 1997. Evolutionary physiology: history, principles. Comparative Biochemistry and Physiology A-Molecular & Integrative Physiology 118:63–79. [DOI] [PubMed] [Google Scholar]
- Neve P. 2007. Challenges for herbicide resistance evolution and management: 50 years after Harper. Weed Research 47:365–369. [Google Scholar]
- Neve P, Vila-Aiub M, Roux F. 2009. Evolutionary-thinking in agricultural weed management. The New Phytologist 184:783–793. [DOI] [PubMed] [Google Scholar]
- Orr HA. 2003. The distribution of fitness effects among beneficial mutations. Genetics 163:1519–1526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Orr HA. 2009. Fitness and its role in evolutionary genetics. Nature Reviews of Genetics 10:531–539. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pan L, Gao H, Xia W, Zhang T, Dong L. 2016. Establishing a herbicide-metabolizing enzyme library in Beckmannia syzigachne to identify genes associated with metabolic resistance. Journal of Experimental Botany 67:1745–1757. [DOI] [PubMed] [Google Scholar]
- Powles SB, Yu Q. 2010. Evolution in action: plants resistant to herbicides. Annual Review of Plant Biology 61:317–347. [DOI] [PubMed] [Google Scholar]
- Rapp RA, Wendel JF. 2005. Epigenetics and plant evolution. The New Phytologist 168:81–91. [DOI] [PubMed] [Google Scholar]
- Richards CL, Bossdorf O, Pigliucci M. 2010. What role does heritable epigenetic variation play in phenotypic evolution? Bioscience 60:232–237. [Google Scholar]
- Sadakierska-Chudy A, Filip M. 2015. A comprehensive view of the epigenetic landscape. Part II: histone post-translational modification, nucleosome level, and chromatin regulation by ncRNAs. Neurotoxicity Research 27:172–197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sammons RD, Gaines TA. 2014. Glyphosate resistance: state of knowledge. Pest Management Science 70:1367–1377. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tian D, Traw MB, Chen JQ, Kreitman M, Bergelson J. 2003. Fitness costs of R-gene-mediated resistance in Arabidopsis thaliana. Nature 423:74–77. [DOI] [PubMed] [Google Scholar]
- Vila-Aiub MM, Gundel PE, Preston C. 2015. Experimental methods for estimation of plant fitness costs associated with herbicide-resistance genes. Weed Science 63:203–216. [Google Scholar]
- Vila-Aiub MM, Neve P, Powles SB. 2009. Fitness costs associated with evolved herbicide resistance alleles in plants. The New Phytologist 184:751–767. [DOI] [PubMed] [Google Scholar]
- Yoshida K. 2005. Evolutionary process of stress response systems controlled by abscisic acid in photosynthetic organisms. Yakugaku Zasshi 125:927–936. [DOI] [PubMed] [Google Scholar]
- Yu Q, Han H, Cawthray GR, Wang SF, Powles SB. 2013. Enhanced rates of herbicide metabolism in low herbicide-dose selected resistant Lolium rigidum. Plant, Cell & Environment 36:818–827. [DOI] [PubMed] [Google Scholar]