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Genetic diversity and spread of glyphosate-resistant flaxleaf fleabane
Bulletin of the National Research Centre volume 44, Article number: 24 (2020)
Continual application of herbicides for flaxleaf fleabane control readily results in the evolution of herbicide resistance. Flaxleaf fleabane has evolved resistance to different modes of action herbicides in many countries. Due to the comprehensive geographical distribution of flaxleaf fleabane in Australia, it was classified as a cosmopolitan weed and it therefore has no specific climatic requirement.
The high percentage of polymorphisms in the samples of the susceptible population (79.8%, 75%) suggests that susceptible populations of flaxleaf fleabane, even within one site, originated from a number of parents. However, the percentage of polymorphism in the resistant populations (51.5%, 66.8%) suggests that resistant populations of flaxleaf fleabane within one site could have originated from fewer parents. In addition, any site containing resistant and susceptible populations of flaxleaf fleabane may have been populated by a large number of parents, evidenced by the relatively high percentage of polymorphisms detected by amplified fragment length polymorphism (AFLP) analysis (86.5%). Despite the large geographic distances between collection locations, populations from across states clustered in several groups showing a close genetic relationship among these populations over these large distances. These high levels of genetic diversity within and between populations confirmed in the sequencing of enolpyruvylshikimate-3-phosphate above support the results of AFLP studies and gave the author more confidence to report the genetic diversity seen within and between population studies.
To prevent further resistance spread, flaxleaf fleabane management in infested areas should focus on decreasing seed movement from resistant sites as well as reducing the selection pressure for resistance to glyphosate by adopting alternative management strategies.
Flaxleaf fleabane (Conyza bonariensis) is a weed species belonging to the family Asteraceae (Wu 2009) that predominantly occurs in cropping systems of northern, southern, and Western Australia. As a result of intensive use of the herbicide glyphosate in summer fallow operations, glyphosate-resistant populations of C. bonariensis have begun to appear, with the first resistant population (Randall 2017). This species is a self-fertilized annual weed, which is often found in pastures and summer and winter field crops including cotton, maize, chickpea, soybean, and wheat (Wu 2009; Heap 2008; Shrestha et al. 2008a). Importantly, Wu et al. (2006) reported that flaxleaf fleabane provides significant competition with crops for water and nutrients, particularly for stored soil moisture in crops of dryland sorghum and wheat, causing significant yield reduction (up to 31%).
The specific effect of glyphosate is to inhibit the biosynthesis of the aromatic amino acids (phenylalanine, tryptophan, and tyrosine) in plants. This inhibition causes a number of metabolic instabilities, such as protein synthesis inhibition and blocking of the shikimate pathway, resulting in metabolic disturbance (Nandula et al. 2005). Glyphosate binds to 5-enolpyruvylshikimate-3-phosphate (EPSP) synthase, an enzyme in the shikimate pathway which catalyzes the condensation of shikimate-3-phosphate and phosphoenolpyruvate to form 5-enolpyruvylshikimate-3-phosphate. Once plants come in contact with glyphosate, the shikimate pathway is blocked, hindering carbon flow to aromatic amino acids (Harring et al. 1998). Glyphosate is translocated rapidly to metabolic sites and kills the target weeds slowly after application (Franz et al. 1997; Duke et al. 2003).
Efforts are required to advance knowledge regarding the genetic diversity of resistant populations, which is needed to understand seed dispersal of flaxleaf fleabane to determine the best management strategies. A common technique used to study genetic diversity is amplified fragment length polymorphism (AFLP). It provides the opportunity to illustrate diversity at the genetic level, allows observation of polymorphism at a very large number of loci, and produces extremely reproducible markers with no need for prior sequence knowledge (Vos et al. 1995; Acquaah 2009). In this study, genetic diversity was investigated within single populations as an initial study to examine the possible level of outcrossing. In addition, the genetic diversity between populations was investigated to examine the evolution and spread of resistance. The main objectives of this study were to assess genetic variation and to estimate genetic relationships within and between populations of flaxleaf fleabane, using AFLP markers and sequencing of EPSP synthase.
Material and methods
Eighty-two populations of C. bonariensis had been previously collected in a 2011 roadside survey across Australia (Table 1, (Malone et al. 2012)). These populations had been tested for glyphosate resistance using 1500 g ha−1 (Touchdown 500 g/L, Monsanto, Melbourne, Victoria, Australia), and results had shown that approximately 50% were susceptible and 50% were resistant (Malone et al. 2012). To assess genetic relationships within and between populations of flaxleaf fleabane, a single individual from each of these populations was used in a “between populations” analysis, while 20 individuals of the susceptible population FBTAR and the resistant population SEQLD07 were used for a “within populations” study.
For comparison with the target populations of flaxleaf fleabane, two populations of tall fleabane (Conyza sumatrensis) were collected from two different locations in South Australia: Dernancourt (FTALLH) and Paradise (FTALLP) as controls.
Seed germination and plant growth
In a glasshouse, distinct trays (30 × 20 × 10 cm) comprising coca peat soil, roughly 0.1–0.2 g of seeds from each population, were sown. Seeds were sown on the surface of soil and watered regularly as needed until a suitable number of seedlings had developed for each population. For the “within populations” experiment, seedlings were transferred into normal pots at a rate of 5–10 seedlings per pot. The plants were well-looked-after under natural growing conditions (outdoor) during the growing period and sprayed with a mist spray daily as required until sampling for DNA extraction. Also, the two populations of tall fleabane were germinated in separate trays (30 × 20 × 10 cm). At 6 weeks after germination, plants were transplanted into standard pots and transferred outdoors to be maintained until sampling for DNA extraction.
The “within population” experiment was carried out at the Waite Campus of the University of Adelaide, South Australia, in March 2012.
Sampling and plant DNA extraction
Leaf tissue was collected from a single individual from all 82 fleabane populations for the “between populations” study, as well as 20 susceptible individuals from population FBTARS and the same number of resistant individuals from population SEQLD7R for the “within population” study.
For the “between populations” study, leaf tissue was collected with no herbicide application, while for the “within populations” study, leaf tissues were collected first, and then, all individuals were treated to confirm susceptibility or resistance to glyphosate. Approximately 0.25 g of young leaf tissue was cut with sterilized scissors from plants and transferred to a sterile 1.5 mL micro-centrifuge tube. Tubes were placed in a small ice box, transported to the laboratory, and stored in a freezer at – 80 °C until DNA extraction. Three-millimeter ball bearings were inserted into each micro-centrifuge tube containing the leaf samples and were homogenized under liquid nitrogen using a vortex or Retsch mill (Retsch GmbH, Haan, Germany). DNA was extracted using Isolate Plant DNA Mini Kit (Bioline, Australia) as per the manufacturer’s instructions. The concentration of extracted DNA was measured using a Nanodrop ND-1000 spectrophotometer (Nanodrop Technologies, Wilmington, DE, USA) at 280 nm. DNA samples were stored in the freezer at – 20 °C until DNA amplification.
Amplified fragment length polymorphisms
The AFLP protocol designed by Vos et al. (1995) provided the initial basis for the AFLP technique used here, with the exception that the methylation-sensitive restriction enzyme PstI was substituted for EcoRI as it is identified to yield low-copy DNA constructively (Burr et al. 1988). Oligonucleotide sequences of the adaptors are shown in Table 2. Standard solutions were set at 200 μM for both adaptors [(MseI adapters at 50 μL each + 100 μL nanopure water) and (PstI adapters at 5 μL each + 190 μL nanopure water)]. Stocks were heated at 90 °C for 3 min and kept at room temperature for 30 min. All digestion/ligation reactions were performed in 60 μL reaction mixtures containing 20 μL of isolated genomic DNA and 40 μL of Master Mix (6 μL of RL buffer 10× (50 nM Tris-HCL at PH 7.5, 50 mM Mg-acetate, 250 mM K-acetate, and 25 mM DTT), 1 μL of each of the two restriction enzymes MseI adaptors (5 units) and PstI adapters (10 units), 1.2 μL of 10 mM ATP cofactor, 0.5 μL of MseI Tru 9 l enzyme (5 units), 1 μL of PstI CUTTER enzyme (10 units), 1 μL of T4 DNA ligase (1 unit/μL) enzyme, and 28.3 μL of nanopure water). The ligation/digestion was performed at 37 °C for 3 h.
Pre-amplification reactions were performed in 20 μL reaction mixtures containing 5.5 μL of the digested DNA and 14.5 μL of PCR Master Mix (2 μL of 10× ImmoBuffer, 0.8 μL of Mgcl2 solution, 2 μL of dNTP Mix, 1 μL of MseI + C primer (Table 2), 1 μL of PstI + A primer (Table 2), 0.2 μL of Taq ImmolaseTM, and 7.5 μL of nanopure water). PCR (Gradient Eppendorf Mastercycler®, Germany) was performed for 11 cycles of denaturation at 94 °C for 30 s, annealing at 67 °C for 60 s, and an extension at 72 °C for 90 s and then dropping the annealing temperature by 0.7 °C per cycle, followed by 20 cycles of 94 °C for 30 s, 56 °C for 30 s, and 72 °C for 90 s. At the end of the 20 cycles, a final extension was applied at 72 °C for 7 min and held at 4 °C until the next step (selective PCR). The pre-amplification reactions were diluted in the ratio of 1:8 with nanopure water (20 μL of DNA and 160 μL of nanopure water).
Selective amplification reactions were performed in duplicate on the selected samples with different primers to determine which primer yielded high numbers of visibly scorable polymorphic bands (Table 2). A first batch was performed as same as for the pre-amplification PCR above, except that 1 μL of PstI + ATC primer and 1 μL of MseI + CAT (FAM) primer were added. The second batch was prepared in the same way but in place of 1 μL of MseI + CAA (VIC). Primer PCR was run using the following protocol: 94 °C for 30 s for denaturing, 65 °C for 30 s for annealing, and a 90-s extension at 72 °C, followed by 9 cycles for further denaturation, annealing, and extension in which each annealing cycle was reduced by 1 °C, followed by 25 PCR cycles of 94 °C for 30 s, 56 °C for 30 s, and 72°C for 90 s.
Capillary electrophoresis was performed using an Applied Biosystems 3730 analyzer by the Australian Genome Research Facility (AGRF), Australia.
Sequencing a conserved region of EPSP synthase
DNA extracted from leaf tissue of 13 populations of flaxleaf fleabane shown in boldface in Table 1 was used to amplify a conserved region of EPSPS following the methods of Wakelin and Preston (2006) using primers LrEPSP_F and LrEPSP_R (Table 2). The DNA fragments produced by the PCR reaction were sequenced by AGRF to obtain both forward and reverse sequence data using the same primers (LrEPSP_F and LrEPSP_R).
Recognizable AFLP bands were visually scored with Genemapper® (Applied Biosystems, Australia) software to conclude or score genetic relationships. PopGene® (Canada, Department of Renewable Resources, http://www.ualberta.ca/~fyeh/popgene.pdf) software was used to calculate genetic distance. PopGene® is a Windows software-based application for analysis of genetic variation among and within populations through dominant markers including AFLPs. TreeView software version 1.6.6 (UK, Taxonomy Zoology, http://taxonomy.zoology.gla.ac.uk/rod/treeview/help/contents.html) was used to produce dendrograms for each population analysis, based on Nei’s (1973) regular and unbiased inherited distance processes.
Sequence data of EPSP were assembled, compared, and analyzed using BioEdit Sequence Alignment Editor, version 126.96.36.199 Hall (Hall 1999).
Within population study
Genetic diversity within a population was investigated in this experiment to examine possible outcrossing within populations. As found in several studies of other plant species, AFLPs have played an important role in genetic polymorphism investigation, and proved highly informative in assessing diversity in plants (Vos et al. 1995; Acquaah 2009; Teulat et al. 2000; Green et al. 2001).
MseI selective primers, CAG + (TET) and CAC + (NED); MseI selective primers, CC + PstI + AC primer; and PstI + AG primer all produced insufficient visibly scorable polymorphic bands and therefore were not used. Two of the 6 primer combinations used (shown in boldface in Table 2) were the most informative in terms of number of bands and polymorphisms. The number of peaks obtained from these primers was different depending on the primer combination used. Peaks lower than 900 and very close to each other were not considered. Of the loci, 194 were scored for the selective primer pair Pstl + ATC and MseI + CAT primer (FAM), and 205 loci were scored for the selective primer pair Pstl + ATC and MseI + CAA primer (VIC), resulting in a total of 399 loci. The 2 primer combinations together generated a total of 399 bands, ranging in length from 35 to 500 bp. Three hundred forty-five bands were polymorphic, resulting in an average polymorphism percentage of 86.5% (Table 3). Polymorphic fragments were dispersed through the whole size range, with the greatest ratio noticed between 45 and 320 bp.
The AFLP profiles among the resistant and susceptible samples differed by a number of bands, showing a different percentage of polymorphism (Table 3).
The dendrogram formed by UPGMA of the Jaccared similarity matrix from the collective data of 2 primer combinations from the 40 samples of the resistant and the susceptible populations of flaxleaf fleabane (FSEQLD7R, FBTARBS) is shown in Fig. 1a. Four main clusters containing a number of sub-clusters were identified from the dendrogram. The susceptible population (FBTARBS) is represented by 9 accessions clustered in 1 main cluster 5S and 2 sub-clusters 2Sb and 2Sa (standalone). The resistant population (FSEQLD7R) is represented by 8 accessions clustered in 2 main clusters 5R and 1R (standalone) and 1 sub-cluster 2R.
The percentage of similarity among both resistant and susceptible samples was very high, giving only weak support for this sub-clustering. However, the susceptible samples were not as tightly clustered as the resistant samples. The remaining accessions of both susceptible and resistant populations, however, were intermixed, represented by 22 accessions grouped together in 3 sub-clusters 7S+1R, 2S+5R, and 6R+1S. The sub-clusters of resistant and susceptible populations did not cluster together, but were mixed. This suggests there is no clear genetic distinction between the resistant and susceptible populations.
The high percentage of polymorphisms in the samples of the susceptible population (79.8%, 75%, Table 3) suggests that susceptible populations of flaxleaf fleabane, even within one site, originated from a number of parents. However, the percentage of polymorphism in the resistant populations (51.5%, 66.8%, Table 3) suggests that resistant populations of flaxleaf fleabane within one site could have originated from fewer parents. In addition, any site containing resistant and susceptible populations of flaxleaf fleabane may have been populated by a large number of parents, evidenced by the relatively high percentage of polymorphisms detected by AFLP analysis (86.5%).
Information from other weed species related to flaxleaf fleabane can be used to increase knowledge of the genetic relationships. Therefore, two outsider populations of tall fleabane were chosen for comparison with the target populations of flaxleaf fleabane as controls. These two outsider populations were informatively matched with both the resistant and susceptible populations of flaxleaf fleabane with the MseI + CAT Fluro (FAM) and PstI + ATC primers (Fig. 1b). The tall fleabane samples were mixed with the flaxleaf fleabane samples, suggesting that while morphologically different, they may not be genetically different.
Between population study
Eighty-two susceptible and resistant populations (Table 1) collected from different locations across Australia were selected for AFLP analysis to find the relationships between these populations and to determine the evolution and spread of resistance.
AFLP analysis produced the dendrogram formed by UPGMA of the Jaccared similarity matrix from the collective data of 2 primer combinations (Fig. 2), which shows that the 82 populations fall into 16 separate clusters. Only 4 populations were standalone as independent clusters (FB7c and FB2c from South Australia, SEQLD05 from Southern-eastern Queensland, and Fle16 from Southern New South Wales). The remaining 78 populations, both susceptible and resistant, were intermixed. Although there were some indications of environmental clustering, the dendrogram formed from these populations using 564 scored loci, which shows a large genetic diversity existing in Australia. The data also indicate clustering of both resistant and susceptible populations from different sources, such as populations from Western Australia with those from Southern and Northern New South Wales, Southern-eastern Queensland, and Victoria (4SNSW+3SQLD+4NNSW+V+WA). Despite the large geographic distances between collection locations, populations from across states that clustered in several groups showed a close genetic relationship among these populations over these large distances. Further, the genetic distances between most clusters were very small.
Four populations (Fle13, FBWIR, SEQLD01, and WA30) were duplicated from the same DNA for AFLP analysis to confirm the outcomes of this experiment. Figure 3 shows some similarities and differences between two samples of one of the duplicated populations (Fle13). Duplicated populations were expected to be the same as they were sourced from the same DNA samples. As a result of this unexpected outcome, some optimizations were carried out on the PCR to improve results following recommendations of Brandariz-Fontes et al. (2015), such as lowering dNTP concentrations to increase the specificity and the fidelity of PCR products, reducing the amount of Mg2+ to increase the enzyme fidelity and the level of specific amplification, and using high denaturation temperature to decrease the probability of occurrence of any mutation in the PCR products and also to achieve specific amplification. Despite these optimizations, identical outcomes were not obtained. Therefore, due to time constraints, conclusive results were not determined in this experiment, and further investigations are thus required.
Despite the high level of genetic diversity seen among populations based on AFLP study, the author was not fully confident to report these results due to unidentified outcomes of the duplicated populations (Fig. 3). However, the results of sequencing of EPSP synthase were determined at high levels of genetic diversity within and between populations.
Sequencing of EPSP synthase
Thirteen populations with confirmed resistance or susceptibility to glyphosate with different levels of resistance were included in this study. Approximately 300 bp region of the EPSPS gene was sequenced from extracted DNA of the 13 populations of flaxleaf fleabane as shown in Fig. 4a. After alignment of the 13 sequences, polymorphisms were present at 20 positions (from 374 to 435 bp) among the sequences. The substitutions were not in the predicted amino acids but in the consensus nucleotides, namely in the second and third positions of codons as silent changes such as C (cytosine) for T (thymine) or G (guanine) (positions 374, 422, 427, and 432), G for A (adenine) or A for G (positions 377, 389, 415, and 434), G for C (positions 393 and 415), and T for A or G (positions 418 and 423).
To determine the occurrence of polymorphisms within populations, the 300-bp region of the EPSPS gene was sequenced from the extracted DNA of 4 individuals of the susceptible population (FBTAR) and 1 individual of the resistant population (FSEQLD7) as shown in Fig. 4b. Polymorphisms in the resistant sequence (R3) occurred at 10 positions, while polymorphisms from the 4 individual susceptible populations (S5, S4, S3, and S1b) occurred at 20, 3, 10, and 19 positions, respectively.
Padgette et al. (1991) have reported that mutations in a specific region of EPSP synthase result in an enzyme with increased tolerance to glyphosate. The EPSP gene was sequenced herein to test whether these mutations were the molecular basis for resistance in flaxleaf fleabane. The outcome showed that the resistant populations of this species did not contain amino acid modifications within the active site. However, the differences among the 13 sequences indicated a high level of genetic diversity between these populations (Fig. 4a). As well as, genetic diversity within the susceptible population (FBTAR) was very high (Fig. 4b).
These high levels of genetic diversity within and between populations confirmed in the sequencing of EPSP above support the results of AFLP studies and gave the author more confidence to report the genetic diversity seen in the within and between population studies.
The level of diversity observed within the populations using AFLPs was high. Although the resistant and susceptible populations of flaxleaf fleabane were collected from different states in Australia (Table 1), genetic variations exceeding 95% were found between resistant and susceptible samples. These data support the hypothesis, as in the dendrogram clusters based on genetic relationships, that flaxleaf fleabane occurred as genetically variable populations in the different locations.
Self-pollination is expected to reduce the levels of genetic variation within populations and among populations (Bartkowska and Johnston 2009). It has been generally assumed that flaxleaf fleabane is a self-pollinated species with wind dispersed seed (Wu 2009; Heap 2008; Shrestha et al. 2008a). However, the UPGMA dendrogram produced in the within population study (Fig. 1) suggests much greater diversity than would be expected from a self-pollinated species. The high genetic diversity seen here suggests an infrequent level of outcrossing could occur.
The movement of seeds could possibly be another factor for the occurrence of genetic variation. The numerous light furry seeds of flaxleaf fleabane are freely spread by wind over large distances (Shrestha et al. 2008b). The flaxleaf fleabane populations used in this study were sampled as multiple plants from a specific location and seeds mixed together for each population. This suggests that the original source of seeds for the collected populations of this study could have originated from different areas due to seed movement by wind.
To the best of the author’s knowledge, this is the first paper employing the use of AFLPs for reviewing genetic diversity in flaxleaf fleabane. The results of this research are not consistent with the other studies on herbicide-resistant species. For example, Danquah et al. (2002) reported that AFLP analysis revealed similarities up to 75% among Echinochloa spp. populations collected from four countries (Bangladesh, India, Philippines, and the Cote d’Ivoire) whether these populations were resistant or susceptible. Rutledge et al. (2000) postulated that there was no evidence for relationship among populations of Echinochloa crus-galli on the basis of their resistance or susceptibility to propanil when herbicide resistance occurs.
Genetic diversity based on the sequencing of EPSP experiments was clearly observed within and between populations of flaxleaf fleabane regardless of their resistance or susceptibility to glyphosate. These results suggest that flaxleaf fleabane populations are highly diverse and resistance has likely evolved multiple times in Australia. To prevent further resistance spread, flaxleaf fleabane management in infested areas should focus on decreasing seed movement from resistant sites as well as reducing the selection pressure for resistance to glyphosate by adopting alternative management strategies.
Availability of data and materials
Not applicable in this section
Amplified fragment length polymorphism
Australian Genome Research Facility
Northern New South Wales
Polymerase chain reaction
Southern New South Wales
Unweighted pair group method with arithmetic mean
Acquaah G (2009) Principles of plant genetics and breeding. Wiley
Bartkowska MP, Johnston MO (2009) Quantitative genetic variation in populations of Amsinckia spectabilis that differ in rate of self-fertilization. Evolution 63(5):1103–1117
Brandariz-Fontes C, Camacho-Sanchez M, Vila C, Vega-Pla JL, Rico C, Leonard JA (2015) Effect of the enzyme and PCR conditions on the quality of high-throughput DNA sequencing results. Sci Rep 5:8056
Burr B, Burr FA, Thompson KH, Albertson MC, Stuber CW (1988) Gene mapping with recombinant inbreds in maize. Genetics. 118(3):519–526
Danquah EY, Johnson DE, Riches C, Arnold GM, Karp A (2002) Genetic diversity in Echinochloa spp. collected from different geographic origins and within rice fields in Cote d'Ivoire. Weed Res 42(5):394–405
Duke SO, Baerson SR, Rimando AM (2003) Glyphosate. In: Plimmer JR, Gammon DW, Ragsdale NN (eds) Encyclopedia of Agrochemicals. Wiley, New York
Franz JE, Mao MK, Sikorski JA (1997) Glyphosate: a unique global herbicide. American Chemical Society, Washington, p 653
Green JM, Barker JHA, Marshall EJP, Froud-Williams RJ, Peters NCB, Arnold GM et al (2001) Microsatellite analysis of the inbreeding grass weed Barren Brome (Anisantha sterilis) reveals genetic diversity at the within-and between-farm scales. Mol Ecol 10(4):1035–1045
Hall TA (ed) (1999) BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic acids symposium series. Information Retrieval Ltd, London, pp c1979–c2000
Harring T, Streibig JC, Husted S (1998) Accumulation of shikimic acid: a technique for screening glyphosate efficacy. J Agric Food Chem 46(10):4406–4412
Heap I (ed) (2008) International survey of herbicide-resistant weeds-survey results and criteria to add cases. Proceedings of the 16th Australian Weeds Conference, Cairns Convention Centre, North Queensland, Australia, 18-22 May, 2008. Queensland Weed Society
Malone J, Cook A, Wu H, Hashem A, Preston C (2012) Management of glyphosate resistant weeds in non-agricultural areas. NSW 41:31
Nandula VK, Reddy KN, Duke SO, Poston DH (2005) Glyphosate-resistant weeds: current status and future outlook. Outlooks Pest Manag 16(4):183
Nei M (1973) Analysis of gene diversity in subdivided populations. Proc Nat Acad Sci 70(12):3321–3323
Padgette SR, Re DB, Gasser CS, Eichholtz DA, Frazier RB, Hironaka CM et al (1991) Site-directed mutagenesis of a conserved region of the 5-enolpyruvylshikimate-3-phosphate synthase active site. J Biol Chem 266(33):22364–22369
Randall RP (2017) A global compendium of weeds: RP Randall
Rutledge J, Talbert RE, Sneller CH (2000) RAPD analysis of genetic variation among propanil-resistant and-susceptible Echinochloa crus-galli populations in Arkansas. Weed Sci 48(6):669–674
Shrestha A, Hembree K, Wright S (2008a) Biology and management of horseweed and hairy fleabane in California. University of California, Agriculture and Natural Resources
Shrestha A, Hembree K, Wright S (2008b) Biology and management of horseweed and hairy fleabane in California. University of California, Division of Agriculture and Natural Resources, California, p 9
Teulat B, Aldam C, Trehin R, Lebrun P, Barker JHA, Arnold GM et al (2000) An analysis of genetic diversity in coconut (Cocos nucifera) populations from across the geographic range using sequence-tagged microsatellites (SSRs) and AFLPs. Theor Appl Genet 100(5):764–771
Vos P, Hogers R, Bleeker M, Reijans M, Lee T, Hornes M et al (1995) AFLP: a new technique for DNA fingerprinting. Nucl Acids Res 23(21):4407–4414
Wakelin AM, Preston C (2006) Inheritance of glyphosate resistance in several populations of rigid ryegrass (Lolium rigidum) from Australia. Weed Sci 54(2):212–219
Wu H (2009) Conyza bonariensis (L.) Cronquist. The biology of Australian weeds. 3:85–101
Wu H, Walker S, Taylor I, Robinson G (eds) (2006) Biology and management of flaxleaf fleabane (Conyza bonariensis (L.) Cronquist). 15th Australian Weeds Conference, Adelaide
Appreciation is extended to the AusAID organization for the financial support during my study, the University of Adelaide for giving this opportunity to complete my master’s degree, and also to the Iraqi Agriculture Ministry for allowing me 4 years study leave.
This research was fully funded by AusAID organization.
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Minati, M.H., Preston, C. & Malone, J. Genetic diversity and spread of glyphosate-resistant flaxleaf fleabane. Bull Natl Res Cent 44, 24 (2020). https://doi.org/10.1186/s42269-020-0277-5
- Flaxleaf fleabane
- Genetic variation
- Herbicide resistance