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Experimental Methods to Study Gene Flow

Published online by Cambridge University Press:  20 January 2017

Carol Mallory-Smith ,
Linda M. Hall  and
Nilda R. Burgos
Carol Mallory-Smith*
Affiliation:
Department of Crop and Soil Science, Oregon State University, Corvallis, OR 97321
Linda M. Hall
Affiliation:
Agricultural, Food and Nutritional Sciences, 410 Agriculture/Forestry, University of Alberta, Edmonton, Canada T6K 2P5
Nilda R. Burgos
Affiliation:
Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR 72704
*
Corresponding author's E-mail: Carol.Mallory-Smith@oregonstate.edu
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Herbicide resistance is an exceptional marker to quantify gene flow. Quantification of pollen-, seed-, and vegetative propagule-mediated gene flow provides key weed biology information. Pollen-mediated gene flow influences the genetic variance within a population, the frequency of multiple or polygenic herbicide resistance, and the evolutionary dynamics of a species. Seed-mediated gene flow predominates in self-pollinating species. Gene flow quantification may enable the estimation of herbicide resistance epicenter, the comparison of the relative importance of gene flow pathways, and prediction of future distribution of resistance traits. Gene flow studies using herbicide resistance also can provide insight into the rates and importance of hybridization.

Type
Weed Biology and Ecology
Information
Weed Science , Volume 63 , Issue SP1: Special Issue: Research Methods in Weed Science , February 2015 , pp. 12 - 22
Copyright
Copyright © Weed Science Society of America

References

Literature Cited

Andersen, MC (1992) An analysis of variability in seed settling velocities of several wind-dispersed Asteraceae. Am J Bot 79(10):1087–1091Google Scholar
Baker, DV, Withrow, JR, Brown, CS, Beck, KG (2010) Tumbling: use of diffuse knapweed (Centaurea diffusa) to examine an understudied dispersal mechanism. Invas Plant Sci Mar 3:301–309Google Scholar
Barrett, SCH (2003) Mating strategies in flowering plants: the outcrossing–selfing paradigm and beyond. Phil Trans R Soc London Ser B Biol Sci 358:991–1004Google Scholar
Beckie, HJ, Hall, LM (2008) Simple to complex: modelling crop pollen-mediated gene flow. Plant Sci 175:615–628Google Scholar
Beckie, HJ, Heap, IM, Smeda, RJ, Hall, LM (2000) Screening for herbicide resistance in weeds. Weed Technol 14:428–445Google Scholar
Beckie, HJ, Warwick, SI, Nair, H, Seguin-Swartz, G (2003) Gene flow in commercial fields of herbicide-resistant canola (Brassica napus). Ecol Appl 13:1276–1294Google Scholar
Blanco-Moreno, JM, Chamorro, L, Masalles, RM, Recasens, J, Sans, FX (2004) Spatial distribution of Lolium rigidum seedlings following seed dispersal by combine harvesters. Weed Res 44:375–387Google 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 6:4–20Google Scholar
Busi, R, Yu, Q, Barrett-Lennard, R, Powles, S (2008) Long distance pollen-mediated flow of herbicide resistance genes in Lolium rigidum. Theor Appl Gen 117:1281–1290Google Scholar
Chabrerie, O, Alard, D (2005) Comparison of three seed trap types in a chalk grassland: Toward a standardised protocol. Plant Ecol 176:101–112Google Scholar
Chauvel, B, Gasquez, J (1994) Relationships between genetic polymorphism and herbicide resistance within Alopecurus myosuroides huds. Heredity 72:336–344Google Scholar
Cottrell, TR (2004) Seed rain traps for forest lands: considerations for trap construction and study design. BC J Ecosyst Manag 5:1–6Google Scholar
Currah, L, Ockendon, DJ (1984) Pollination activity of blowflies and honeybees on onions in breeders' cages. Ann Appl Biol 105:167–176Google Scholar
Dauer, JT, Mortensen, DA, Humston, R (2006) Controlled experiments to predict horseweed (Conyza canadensis) dispersal distances. Weed Sci 54:484–489Google Scholar
Dauer, JT, Mortensen, DA, Luschei, EC, Isard, SA, Shields, E, VanGessel, MJ (2009) Conyza canadensis seed ascent in the lower atmosphere. Agric Forest Meteorol 149:526–534Google Scholar
Dauer, JT, Mortensen, DA, Van Gessel, MJ (2007) Temporal and spatial dynamics of long-distance Conyza canadensis seed dispersal. J Appl Ecol 44:105–114Google Scholar
Davis, AS, Luschei, EC (2009) Living boundaries: tracking weed seed movement with nondormant seed. Weed Sci 57:163–168Google Scholar
Gaines, TA, Byrne, PF, Westra, P, Nissen, SJ, Henry, WB, Shaner, DL, Chapman, PL (2007) An empirically derived model of field-scale gene flow in winter wheat. Crop Sci 47:2308–2316Google Scholar
Gaines, TA, Vencill, WK, Sammons, RD, Grey, TL, Webster, TM, Leach, JE, Westra, P, Jiang, J, Preston, C, Culpepper, AS, Bukun, B, Chisholm, ST, Zhang, W, Wang, D, Patzoldt, WL, Tranel, PJ, Shaner, DL, Nissen, SJ (2010) Gene amplification confers glyphosate resistance in Amaranthus palmeri. Proc Natl Acad Sci U S A 107:1029–1034Google Scholar
Garcia-Alonso, M, Jacobs, E, Raybould, A, Nickson, TE, Sowig, P, Willekens, H, Van Der Kouwe, P, Layton, R, Amijee, F, Fuentes, AM, Tencalla, F (2006) A tiered system for assessing the risk of genetically modified plants to non-target organisms. Environ Biosafety Res 5:57–65Google Scholar
Grundy, A, Mead, A (1998) Modelling the effects of seed depth on weed seedling emergence. Asp Appl Biol 51:75–82Google Scholar
Grundy, A, Mead, A, Burston, S (1999) Modelling the effect of cultivation on seed movement with application to the prediction of weed seedling emergence. J Appl Ecol 36:663–678Google Scholar
Haddadchi, A, Gross, CL, Fatemi, M (2013) The expansion of sterile Arundo donax (Poaceae) in southeastern Australia is accompanied by genotypic variation. Aquatic Bot 104:153–161Google Scholar
Hall, L, Moss, S, Powles, S (1997) Mechanisms of resistance to aryloxyphenoxypropionate herbicides in two resistant biotypes of Alopecurus myosuroides (blackgrass): herbicide metabolism as a cross-resistance mechanism. Pestic Biochem Physiol 57:87–98Google Scholar
Hall, L, Tardif, FJ, Powles, SB (1994) Mechanisms of cross and multiple herbicide resistance in Alopecurus myosuroides and Lolium rigidum. Phytoprotection 75:17–23Google Scholar
Hanson, BD, Mallory-Smith, CA, Shafii, B, Thill, DC, Zemetra, RS (2005) Pollen-mediated gene flow from blue aleurone wheat to other wheat cultivars. Crop Sci 45:1610–1617Google Scholar
Hills, MJ, Hall, LM, Messenger, DF, Graf, RJ, Beres, BL (2007) Evaluation of crossability between triticale (X triticosecale wittmack) and common wheat, durum wheat and rye. Environ Biosafety Res 6:249–257Google Scholar
Jhala, AJ, Bhatt, H, Topinka, K, Hall, LM (2011) Pollen-mediated gene flow in flax (Linum usitatissimum L.): Can genetically engineered and organic flax coexist? Heredity 106:557–566Google Scholar
Jhala, AJ, Hall, LM, Hall, JC (2008) Potential hybridization of flax (Linum usitatissimum L.) with weedy and wild relatives: an avenue for movement of engineered genes? Crop Sci 48:825–840Google Scholar
Kavanaugh, V, Hall, LM, Hall, J (2010) Potential hybridization of genetically engineered triticale with wild and weedy relatives in Canada. Crop Sci 50:1128–1140Google Scholar
Kavanagh, VB, Hills, MJ, Eudes, F, Topinka, K, Yang, R, Hall, LM (2012) Pollen-mediated gene flow in triticale. Crop Sci 52:2293–2303Google Scholar
Kenkel, NC, Juhasz-Nagy, P, Podani, J (1989) On sampling procedures in population and community ecology. Vegetatio 83:195–207Google Scholar
Khudamrongsawat, J, Tayyar, R, Holt, JS (2004) Genetic diversity of giant reed (Arundo donax) in the Santa Ana River, California. Weed Sci 52:395–405Google Scholar
Letouzé, A, Gasquez, J (2001) Inheritance of fenoxaprop-P-ethyl resistance in a blackgrass (Alopecurus myosuroides huds.) population. Theor Appl Gen 103:288–296Google Scholar
Manalil, S, Busi, R, Renton, M, Powles, SB (2011) Rapid evolution of herbicide resistance by low herbicide dosages. Weed Sci 59:210–217Google Scholar
Mariani, C, Cabrini, R, Danin, A, Piffanelli, P, Fricano, A, Gomarasca, S, Dicandilo, M, Grassi, F, Soave, C (2010) Origin, diffusion and reproduction of the giant reed (Arundo donax L.): a promising weedy energy crop. Ann Appl Biol 157:191–202Google Scholar
McPherson, MA, Good, AG, Topinka, A. K. C., Hall, LM (2004) Theoretical hybridization potential of transgenic safflower (Carthamus tinctorius L.) with weedy relatives in the new world. Can J Plant Sci 84:923–934Google Scholar
McPherson, MA, Good, AG, Topinka, A. K. C., Yang, RC, McKenzie, RH, Cathcart, JR, Christianson, JA, Strobeck, C, Hall, LM (2009) Pollen-mediated gene flow from transgenic safflower (Carthamus tinctorius) intended for plant molecular farming to conventional safflower. Environ Biosafety Res 8:19–32Google Scholar
Mead, A, Grundy, A, Burston, S (1998) Predicting the movement of seeds following cultivation. Asp Appl Biol 55:91–98Google Scholar
Murray, BC, Morrison, IN, Friesen, LF (2002) Pollen-mediated gene flow in wild oat. Weed Sci 50:321–325Google Scholar
Nathan, R, Katul, GG, Bohrer, G, Kuparinen, A, Soons, MB, Thompson, SE, Trakhtenbrot, A, Horn, HS (2011) Mechanistic models of seed dispersal by wind. Theor Ecol 4:113–132Google Scholar
Nelder, JA (1962) New kinds of systematic designs for spacing experiments. Biometrics 18:283–307Google Scholar
Page, MJ, Newlands, L, Eales, J (2002) Effectiveness of three seed-trap designs. Aust J Bot 50:587–594Google Scholar
Preston, C (2003) Inheritance and linkage of metabolism-based herbicide cross-resistance in rigid ryegrass (Lolium rigidum). Weed Sci 51:4–12Google Scholar
Raybould, A (2006) Problem formulation and hypothesis testing for environmental risk assessments of genetically modified crops. Environ Biosafety Res 5:119–125Google Scholar
Raybould, A, Cooper, I (2005) Tiered tests to assess the environmental risk of fitness changes in hybrids between transgenic crops and wild relatives: the example of virus resistant Brassica napus. Environ Biosafety Res 4:127–140Google Scholar
Rew, L, Cussans, G (1997) Horizontal movement of seeds following tine and plough cultivation: implications for spatial dynamics of weed infestations. Weed Res 37:247–256Google Scholar
Rieger, MA, Lamond, M, Preston, C, Powles, SB, Roush, RT (2002) Pollen-mediated movement of herbicide resistance between commercial canola fields. Science 296:2386–2388Google Scholar
Roger-Estrade, J, Colbach, N, Leterme, P, Richard, G, Caneill, J (2001) Modelling vertical and lateral weed seed movements during mouldboard ploughing with a skim-coulter. Soil Tillage Res 63:35–49Google Scholar
Seefeldt, SS, Jensen, JE, Fuerst, EP (1995) Log-logistic analysis of herbicide dose–response relationships. Weed Technol 9:218–227Google Scholar
Shields, EJ, Dauer, JT, VanGessel, MJ, Neumann, G (2006) Horseweed (Conyza canadensis) seed collected in the planetary boundary layer. Weed Sci 54:1063–1067Google Scholar
Shirtliffe, SJ, Entz, MH (2005) Chaff collection reduces seed dispersal of wild oat (Avena fatua) by a combine harvester. Weed Sci 53:465–470Google Scholar
Sosnoskie, LM, Webster, TM, Kichler, JM, MacRae, AW, Grey, TL, Culpepper, AS (2012) Pollen-mediated dispersal of glyphosate-resistance in Palmer amaranth under field conditions. Weed Sci 60:366–373Google Scholar
Stallings, GP, Thill, DC, Mallory-Smith, CA, Lass, LW (1995a) Plant movement and seed dispersal of Russian thistle (Salsola iberica). Weed Sci 43:63–69Google Scholar
Stallings, GP, Thill, DC, Mallory-Smith, CA, Shafil, B (1995b) Pollen-mediated gene flow of sulfonylurea-resistant kochia (Kochia scoparia). Weed Sci 43:95–102Google Scholar
Tabashnik, BE (1991) Determining the mode of inheritance of pesticide resistance with backcross experiments. J Econ Entomol 84:703–712Google Scholar
Tardif, FJ, Powles, SB (2006) Herbicide multiple-resistance in a Lolium rigidum biotype is endowed by multiple mechanisms: isolation of a subset with resistant acetyl-CoA carboxylase. Physiol Plant 91:488–494Google Scholar
Walsh, KD, Puttick, DM, Hills, MJ, Yang, RC, Topinka, KC, Hall, LM (2012) Short communication: first report of outcrossing rates in camelina [Camelina sativa (L.) crantz], a potential platform for bioindustrial oils. Can J Plant Sci 92:681–685Google Scholar
Warwick, S, Black, L (1980) Uniparental inheritance of atrazine resistance in Chenopodium album. Can J Plant Sci 60:751–753Google Scholar
Warwick, SI, -Simard, M, Légère, A, Beckie, HJ, Braun, L, Zhu, B, Mason, P, Séguin-Swartz, G, Stewart, CN (2003) Hybridization between transgenic Brassica napus L. and its wild relatives: Brassica rapa L., Raphanus raphanistrum L., Sinapis arvensis L., and Erucastrum gallicum (willd.) O.E. schulz. Theor Appl Gen 107:528–539Google Scholar
Watrud, LS, Lee, EH, Fairbrother, A, Burdick, C, Reichman, JR, Bollman, M, Storm, M, King, G, van De Waters, PK (2004) Evidence for landscape-level, pollen-mediated gene flow from genetically modified creeping bentgrass with CP4 EPSPS as a marker. Proc Natl Acad Sci U S A 101:14533–14538Google Scholar
Wilson, DW, Sbatella, GM, Wang, QQ, Miller, SD (2010) Suitability of passive integrated transponder (PIT) tags for tracking weed seed movement in soils. Weed Technol 24:386–391Google Scholar
Wolt, J, Keese, P, Raybould, A, Fitzpatrick, J, Burachik, M, Gray, A, Olin, SS, Schiemann, J, Sears, M, Wu, F (2010) Problem formulation in the environmental risk assessment for genetically modified plants. Transgen Res 425–436Google Scholar
Yu, Q, Cairns, A, Powles, S (2007) Glyphosate, paraquat and ACCase multiple herbicide resistance evolved in a Lolium rigidum biotype. Planta 225:499–513Google Scholar
Zar, JH (1999) Biostatistical Analysis. 4th ed. Upper Saddle River, New JerseyPrentice-Hall, Inc. 663 pGoogle Scholar
Zapiola, M, Campbell, C, Butler, M, Mallory-Smith, C (2007) Escape and establishment of transgenic glyphosate-resistant creeping bentgrass (Agrostis stolonifera) in Oregon, USA: a 4-year study. J Appl Ecol 45:486–494Google Scholar
Zelaya, IA, Owen, MD, VanGessel, MJ (2007) Transfer of glyphosate resistance: evidence of hybridization in Conyza (Asteraceae). Am J Bot 94:660–673Google Scholar
Zeng, L, Baird, W (1997) Genetic basis of dinitroaniline herbicide resistance in a highly resistant biotype of goosegrass (Eleusine indica). J Hered 88:427–432Google Scholar