FEMS Microbiology Ecology 46 (2003) 73^80 www.fems-microbiology.org Soil antimony pollution and plant growth stage a¡ect the biodiversity of auxin-producing bacteria isolated from the rhizosphere of Achillea ageratum L Christine Picard 1; , Marco Bosco Dipartimento di Scienze e Tecnologie Agroambientali, Area di Microbiologia, Alma Mater Studiorum, Universita' di Bologna, Viale Fanin 42, 40127 Bologna, Italy Received 27 April 2003 ; received in revised form 18 June 2003; accepted 8 July 2003 First published online 28 August 2003 Abstract A total of 4512 rhizobacteria were isolated at three stages of plant growth from Achillea ageratum colonizing a polluted site with an antimony concentration gradient. For 222 of these isolates auxin production (auxþ ) was verified in vitro. The percentage of auxþ isolates increased with soil antimony concentration, as well as with plant growth stage. An amplified rDNA restriction analysis clustered the auxþ isolates into 51 clusters, one of which was numerically predominant and present throughout plant development and at all antimony concentrations. The auxþ population was genetically very diverse, and this diversity was related to both antimony concentration and plant growth stage. 4 2003 Federation of European Microbiological Societies. Published by Elsevier B.V. All rights reserved. Keywords : Plant growth-promoting rhizobacterium; Auxin production; Heavy metal; Achillea ageratum L. ; Antimony pollution; Biodiversity 1. Introduction Pollution of the biosphere by toxic metals has accelerated dramatically since the beginning of the industrial revolution. The sources of this pollution include mining and smelting of metalliferous ores, burning of fossil fuels, municipal wastes, fertilizers, pesticides and sewage. Toxic metal contamination of soil and groundwater poses a major environmental and human health problem [1]. Antimony is a toxic trace element of growing interest due to the increased anthropogenic input into the environment * Corresponding author. Tel. : +39 (051) 20 96 270; Fax : +39 (051) 20 96 274. E-mail address : [email protected] (C. Picard). 1 Collaborator, via a fellowship under the OECD Co-operative Research Programme : Biological Resource Management for Sustainable Agriculture Systems. [2]. It is known to provoke DNA damage [3], to disturb the hematic and gastrointestinal systems and to cause other toxic e¡ects [4]. Unlike organic pollutants, heavy metals cannot be degraded, but instead persist inde¢nitely in the environment, complicating their remediation. The techniques presently used for the clean-up of soils contaminated by heavy metals are mainly based on ex situ decontamination, using physico-chemical methods of extraction, which are very expensive. In addition, they destroy the soil structure and leave the soil biologically inactive [5]. Certain plants have the ability to grow on heavy-metalcontaminated soils, and some of them can accumulate heavy metals, which have no known biological function [6]. Such plants are investigated for their potential use in in situ phytoremediation, i.e. the use of plants to remove, contain or transform environmental contaminants, which is considered one of the most promising new technologies for heavy metal remediation [7]. Metals such as antimony, arsenic, cadmium, copper, mercury, nickel, selenium and zinc can be extracted from the soil by hyperaccumulator plants and concentrated into their roots and shoots. This process is called phytoextraction, as the metal-enriched plant biomass can be harvested using standard agricultural 0168-6496 / 03 / $22.00 4 2003 Federation of European Microbiological Societies. Published by Elsevier B.V. All rights reserved. doi:10.1016/S0168-6496(03)00206-X FEMSEC 1567 17-9-03 74 C. Picard, M. Bosco / FEMS Microbiology Ecology 46 (2003) 73^80 methods and smelted to recover the metal [8]. However, most of the plants known to be metal hyperaccumulators emerged spontaneously, so their physiology, ecology and agronomic performances are often scarcely known. In nature, the roots of plants interact with a large number of di¡erent microorganisms, and these interactions, together with soil and climatic conditions, are major determinants of the extent to which plants grow and spread [9]. Among soil microorganisms, several bacterial genera stimulate root proliferation and protect surrounding plants by producing auxins and/or other compounds [10^15]. They are called plant growth-promoting rhizobacteria (PGPR) [12]. Recent studies have shown that hyperaccumulator plants grown in heavy-metal-contaminated soils presented a more proliferated root system than in non-contaminated soils [16,17]. The phenomenon of PGPR has been investigated to clarify their potential role in the phytoextraction process. Indian mustard plants (Brassica juncea L.), when germinated in vitro on selenium-containing media [18] or in pot experiments with cadmium-contaminated soils [19], produced more root hairs when inoculated with PGPR strains. Furthermore, these inoculated plants accumulated more selenium than the non-inoculated ones [18]. Thus, PGPR are promising bacterial partners for the improvement of plant growth on heavy-metal-contaminated soil, and thus for phytoremediation. In the case of antimony-polluted soils, plants such as Achillea ageratum L., Plantago lanceolata L. and Silene vulgaris (Moench) Garcke were recently investigated for phytoextraction purposes [2]. In fact, these plants have been shown to be the best antimony hyperaccumulators among 59 plant species tested, and this regardless of the antimony concentration in the soil [20]. However, no data exist on their root-associated micro£ora. The aim of this research was to characterize the diversity of a PGPR population in antimony-contaminated soils, and how this is in£uenced by metal and plant. In particular, we focused on PGPR genotypes present in antimony-contaminated soils regardless of the concentration of the pollutant, and the overall development of hyperaccumulator plants. For this purpose, thousands of rhizobacteria were isolated at three stages of plant growth from the rhizospheres of A. ageratum L. (Compositae), naturally colonizing a site contaminated by antimony 25 years ago. producing reference strains were used: P. £uorescens Pf5 [11] and Pseudomonas corrugata 3-1 [22]. 2.2. Characterization of the site The model site was a 25-year-old abandoned open-sky antimony mine in Tuscany (Italy). This site is characterized by the existence of a gradient in the concentration of antimony. The description of the site contamination status was already available thanks to previous studies ([2,20], Boscagli, personal communication). Based on this knowledge, four soils were chosen for plant collection: soils with low (I), moderate (II), high (III) and very high (IV) antimony concentrations (Table 1). 2.3. Isolation and selection of bacteria able to produce auxins in vitro The rhizosphere of four individual A. ageratum L. plants for each of the four soils was collected at three stages of plant growth, corresponding to (1) the emergence of new roots and shoots from the rhizome, (2) the beginning of £owering and (3) the death of the £ower shoots and basal leaves. In this way, a total of 48 rhizospheric samples were collected (four plantsUfour soil antimony concentrationsUthree stages of plant growth). Immediately after each collection, plants with their rhizospheres were taken to the laboratory, and isolation of rhizobacteria was performed within 24 h. For each sample, 10 g of roots were washed in 100 ml of sterile water, and then blended in a Waring blender with 100 ml of sterile water. Serial dilutions were plated onto solid tryptone soya medium (Oxoid, Basingstoke, Hampshire, UK). The plates were incubated at 27‡C, and numbers of cfu were determined after 7 days. For each sample, 94 randomly selected colonies were picked and each colony was separately transferred into a single well of a 96-well microplate containing 100 Wl of liquid tryptone soya medium. In total, 4512 bacterial colonies were collected in this way (94 isolatesU48 rhizospheres). After 3 days of growth at 27‡C in the dark, Table 1 Average antimony contents in the soils, as reported by Baroni et al. [20] Soil I (n = 4) II (n = 4) III (n = 7) IV (n = 5) 2. Materials and methods 2.1. Bacterial strains Four auxin-producing reference strains were used: Pseudomonas £uorescens M114 [13] and CHA0 [15], Pseudomonas putida M.3.1 (Digat, INRA, Angers, France) and Pseudomonas aureofaciens PGS12 [21]. Two non-auxin- Antimony concentration (mg kg31 of dried soil) Totala Solubleb Extractablec 27.74 114.80 1 314.83 16 388.75 0.08 0.10 0.48 15.76 0.18 1.59 3.12 798.38 n = number of samples analyzed. a Total antimony content was measured by digestion of 0.5 g of dried soil with a 1:1 (v:v) HCl+HNO3 mixture. b The estimated soluble antimony content was obtained by water extraction (100 ml of bidistilled water for 50 g of dried soil). c The estimated extractable antimony content was obtained by acetic acid extraction (200 ml of 0.43 mol acetic acid for 5 g of dried soil). FEMSEC 1567 17-9-03 C. Picard, M. Bosco / FEMS Microbiology Ecology 46 (2003) 73^80 75 auxin-producing isolates (auxþ ) were detected by a colorimetric technique derived from that of Salkowski [23^25], known to be speci¢c for the detection of indolic compounds (IAA, IpyA and IAM) [24]. The Salkowski technique was adapted to the 96-well microplate format by adding 200 Wl of a 35% perchloric acid^0.01 M FeCl3 solution to each 100 Wl culture. The speci¢city of the test was systematically veri¢ed by including the four auxþ reference strains, for which the addition of the Salkowski reagent should result in a pink coloration when auxin compounds are produced in the medium, and the two non-auxin-producing (aux3 ) reference strains, for which no visually detectable color reaction is produced. Among the 4512 isolates, only those presenting the diagnostic pink coloration were puri¢ed and multiplied on new solid tryptone soya medium. The test was repeated on pure cultures for con¢rmation of auxin production. Then, each puri¢ed auxþ isolate was preserved at 380‡C in 40% glycerol. 2.4. Cell preparation prior to polymerase chain reaction (PCR) ampli¢cation Bacterial isolates were grown overnight at 27‡C on YPGA, which contained (per liter) 5 g of yeast extract, 5 g of peptone, 10 g of glucose and 15 g of agar. A single colony of each strain was suspended in 50 Wl of distilled water and heated at 95‡C for 10 min to lyse the cells. The lysate was then cooled in ice, brie£y centrifuged in a microcentrifuge, and used for PCR ampli¢cation. 2.5. Ampli¢ed rDNA restriction analysis (ARDRA) The DNA encoding the 16S rRNA of each isolate was ampli¢ed using the universal primers fD1 and rD1 [26], corresponding to positions 8^27 and 1524^1540 on the Escherichia coli rrs gene sequence. This primer pair is capable of amplifying nearly full-length 16S ribosomal DNA from a wide variety of bacterial taxa [26]. Ampli¢cation was performed as previously described [22] ; each mixture contained 2 Wl of lysed cell suspension in 25 Wl of reaction bu¡er containing 1.5 mM MgCl2 , 150 ng of each primer, each deoxynucleoside triphosphate at a concentration of 250 mM, and 0.5 U of Taq DNA polymerase. The reaction mixtures were incubated in a thermocycler at 95‡C for 1.5 min and then subjected to 35 cycles consisting of 95‡C for 30 s, the annealing temperature for 30 s, and 72‡C for 4 min. The annealing temperature was 60‡C for the ¢rst ¢ve cycles, 55‡C for the next ¢ve cycles, and 50‡C for the last 25 cycles. Finally, the mixtures were incubated at 72‡C for 10 min and then at 60‡C for 10 min. Five Wl of each ampli¢cation mixture was analyzed by agarose (1.2% w/v) gel electrophoresis in Tris-borate-EDTA (TBE) bu¡er. Restriction analysis was performed with 5 Wl of ampli¢ed product and 15 Wl of restriction bu¡er containing 3 U of either MspI, Sau96I, HinfI, RsaI, HhaI, TaqI or HindIII (Roche Molecular Biochemicals). After a 3-h diges- Fig. 1. Percentages of auxin-producing isolates along the antimony concentration gradient (A) and at the di¡erent stages of plant growth (B). Each column represents the mean of four replicates and bars indicate the S.E.M. White, emerging stage; gray, £owering stage; black, death stage. Soils are described in Table 1. tion at the appropriate temperature, the enzyme was inactivated by heating the preparations at 70‡C for 15 min, and the restriction fragments were separated by gel electrophoresis (2% agarose) in TBE bu¡er. A 1-kb DNA ladder (Invitrogen) was used as molecular size marker. For each isolate, PCR ampli¢cation and restriction analysis were performed at least three times. 2.6. Statistical analysis The AMOVA procedure was used to estimate the variance components for ARDRA patterns by partitioning the variations among plant growth stages and/or antimony FEMSEC 1567 17-9-03 76 C. Picard, M. Bosco / FEMS Microbiology Ecology 46 (2003) 73^80 Table 2 Number of auxþ isolates from the rhizosphere of Achillea and their distribution among the six main ARDRA clusters Plant growth stagea Em Fl De Total isolates a Soil I II III IV I II III IV I II III IV using the Biolog Microlog software. E⁄ciency of Biolog tests was checked by including reference strains 3-1 and M.3.1 ARDRA cluster 1 2 3 4 5 6 3 8 3 8 2 1 3 1 2 2 4 4 42 5 5 5 0 0 0 1 1 1 0 1 2 21 2 1 0 1 0 1 1 0 5 4 1 2 18 0 0 2 0 2 0 1 4 0 0 0 1 10 2 0 0 0 0 2 0 1 4 1 0 0 10 0 2 0 0 0 0 2 0 4 0 2 0 10 Em, emerging stage; Fl, £owering stage; De, death stage. concentrations. The AMOVA technique is a method for analyzing molecular variance that produces estimates of variance components re£ecting the correlation of haplotypic diversity at di¡erent levels of a hierarchical subdivision. The signi¢cance of the variance components is tested by a permutational approach [27]. The vectors for the presence of ARDRA markers (1 for the presence of each band on a gel; 0 for the absence of each band on a gel) for each strain were used to compute the genetic distance for each pair of strains. The parameter used was the Euclidean metric measurement (E) of Exco⁄er et al. [27], as de¢ned by Hu¡ et al. [28] as follows : E = O2xy = n(132nxy / 2n), where 2nxy is the number of markers shared by two strains and n is the total number of polymorphic sites. All analyses were performed with the Arlequin program [29], which is used in several scienti¢c ¢elds (microbiology, medicine, population genetics) and is available at the following URL: http://anthropologie.unige.ch/arlequin/. For each collection, the number of auxþ isolates is the mean of four replicates. Standard error between replicates was determined by analysis of variance followed by Tukey’s multiple comparison test (GraphPad PRISM Software, version 2.0). 3. Results 3.1. Isolation of auxin-producing bacterial strains Bacteria isolated on solid tryptone soya medium were enumerated 7 days after plating for each of the four soils examined. Stages of plant growth and antimony concentration in the soil had no e¡ect on the densities of the total cultivable bacterial populations, since they ranged independently from 4U107 to 2U108 cfu g31 of dry roots. A total of 4512 colonies (94 isolatesU48 rhizospheres) were randomly picked and tested for auxin production. Auxin production was veri¢ed for 222 isolates, by comparison of their pink culture coloration with that of the four auxin-producing reference strains (below, these isolates are referred to as auxþ isolates). No color change was observed for the culture medium of the auxin-negative reference strains 3-1 and Pf5. The percentage of auxþ isolates increased with increasing concentration of antimony in the soil (Fig. 1A). This increase was quite low when bacteria were isolated from plants at the emerging stage, since the frequency of auxþ isolates varied from 4% of the total bacterial population isolated from soil I, to 5.7% from soil IV. For the other plant growth stages, the increase of the frequency of auxþ isolates with the increase of soil antimony concentration was more evident, i.e. from 6.5% and 4% (soil I, £owering and plant death stage, respectively) to 20% and 15% (soil IV, £owering and plant death stage, respectively). On the other hand, some £uctuation of the total number of auxþ isolates was observed with the stages of plant growth, since the frequency of auxþ isolates increased from the emerging stage (5%) to the £owering stage (11.73%), and decreased a little with the death of the £ower shoots and basal leaves (8.25%) (Fig. 1B). Table 3 Gel-detectable restriction fragment sizes (in bp) of ampli¢ed 16S rDNAs from main ARDRA clusters and from two reference strains 2.7. Characterization of the isolates Gram characteristics of the isolates were determined by the KOH test of Suslow et al. [30]. Isolates were phenotypically characterized using the Biolog system (Biolog, Hayward, CA, USA), which is based on the di¡erential utilization of a large number of organic compounds. Biolog GN microplates were inoculated as recommended by the manufacturer and were incubated at 27‡C for 24 h. Formazan accumulation in bacterial cells was measured by determining the optical density at 550 nm with an automatic microplate reader. The isolates were identi¢ed on the basis of their patterns of utilization of 95 substrates Restriction endonuclease HinfI ARDRA cluster 1 1000, 200 2 1000, 200 3 510, 360, 330 4 1200 5 1100 6 1100 Reference strains 3-1 1000, 200 CHA0 1000, 200 FEMSEC 1567 17-9-03 MspI RsaI 550, 550, 510, 700, 510, 700, 850, 800, 510, 820, 820, 820, 460, 150 350, 150 290 290 350, 250 290 550, 460, 150 550, 350, 150 350, 150 350, 150 450 450 450 450 850, 350, 150 800, 350, 150 C. Picard, M. Bosco / FEMS Microbiology Ecology 46 (2003) 73^80 Table 4 Distribution of ARDRA clusters as a¡ected by soil and plant parameters Plant growth stagea Soil Total number of ARDRA clusters a I II III IV Em Fl De 18 20 21 21 21 28 26 Em, emerging stage; Fl, £owering stage; De, death stage. 77 by only one isolate. The remaining clusters (ARDRA-7^ 25) included two to nine isolates that never originated from more than three soils and two stages of plant growth. The number of diverse clusters isolated from each soil increased with its antimony concentration, from 18 for soil I to 21 for soils III and IV. Considering the stages of plant growth, the number of diverse clusters was lower at the emerging stage (21 cluster) than at the £owering and the plant death stages (28 and 26, respectively) (Table 4). 3.2. ARDRA analysis 3.3. AMOVA analysis The 16S rDNAs of 214 out of 222 auxþ isolates were successfully ampli¢ed (data not shown). The remaining isolates were not investigated since they did not survive the cryoconservation in glycerol. The results of ARDRA with seven enzymes were subjected to cluster analysis. The di¡erent patterns obtained with each of the seven endonucleases were readily distinguishable from one another and highly reproducible from one experiment to the next. ARDRA with HinfI, MspI, and RsaI revealed a signi¢cant level of genetic diversity between the isolates, since 51 clusters were found (designated ARDRA-1 to ARDRA51). Isolates exhibiting the same HinfI-MspI-RsaI cluster were indistinguishable when analysis was carried out with any of the four other endonucleases (data not shown). In particular, one cluster (ARDRA-1) was predominantly represented, corresponding to 42 (19.6%) isolates. Furthermore, it was present in the Achillea rhizosphere for all the soil antimony concentrations and throughout the stages of plant growth (Table 2). Five other clusters (ARDRA-2^6) included 21 isolates (10%), 18 isolates (8.4%) (respectively for ARDRA-2 and -3) and 10 isolates (4.7%) (for ARDRA cluster 4^6). They were present throughout the stages of plant growth of Achillea, but in not more than three of the four soils (Table 2). Restriction patterns of these six main ARDRA clusters are presented in Table 3. Twenty-six clusters (ARDRA-26^51) were represented Each ARDRA cluster was compared with the other clusters, and an Euclidean distance matrix (E) was calculated (data not shown). To analyze the ARDRA variation in the 214 isolates, we performed an AMOVA with the Euclidean distance matrix. Antimony concentrations in soil and stages of plant growth were considered two di¡erent groups, to evaluate independently their respective effect on the biodiversity of auxþ isolates. The AMOVA data revealed that 4.01% of the genetic diversity observed between the auxþ isolates was related to the soil antimony concentration, at a signi¢cant P value (P = 0.04). We also analyzed all of the possible combinations of two soils. The data obtained (Table 5) clearly show that a greater di¡erence in antimony concentration between two soils (I vs. IV) corresponds to a higher genetic diversity between the auxþ isolates (7.95%, P = 0.04). Similar analyses carried out on the stage of plant growth (Table 5) show that a part of the genetic variability between the auxþ isolates is due to this factor (7.74%, P = 0.04, and up to 10.76% between £owering and death stages, P = 0.07). 3.4. Identi¢cation of the most representative aux+ isolates The 42 isolates belonging to the main ARDRA cluster Table 5 Genetic diversity between the auxþ isolates determined by the AMOVA analysis on the ARDRA pattern variation Soil Stage of plant growthb Variance component % of variance between sampling % of variance within sampling Pa I vs. II vs. III vs. IV (I+II) vs. (III+IV) I vs. II II vs. III III vs. IV I vs. III I vs. IV II vs. IV Em vs. Fl vs. De Em vs. Fl Em vs. De Fl vs. De 4.01 3.31 1.60 1.57 1.73 4.99 7.95 2.67 7.74 10.76 7.82 5.77 95.99 96.69 98.40 98.43 98.27 95.01 92.05 97.33 92.26 89.24 92.18 94.23 0.04 0.03 0.03 0.01 0.01 0.04 0.04 0.02 0.04 0.07 0.05 0.02 Values in boldface type are not signi¢cant. a Probability of a more extreme variance distribution. b Em, emerging stage; Fl, £owering stage; De, death stage. FEMSEC 1567 17-9-03 78 C. Picard, M. Bosco / FEMS Microbiology Ecology 46 (2003) 73^80 (ARDRA-1) were all Gram-negative. Biological tests performed on 16 isolates belonging to ARDRA-1 and the two reference strains 3-1 and M.3.1 showed that nine of the isolates should be assigned to P. corrugata, with similarity levels of at least 95%, as well as strain 3-1. The seven other isolates were assigned to P. putida biotype B (similarity levels of 94^98%), as well as reference strain M.3.1. 4. Discussion The e¡ect of heavy metal contamination on soil microbial populations has often been analyzed by biochemical techniques, such as measurements of respiration and biomass. Less numerous are the studies that have analyzed the e¡ect of heavy metals on soil microbial community structure or on bacterial diversity, and, to our knowledge, no data exist on the in£uence of long-term soil antimony contamination on the bacterial auxin-producing community present in the rhizosphere of hyperaccumulator plants. The design of heavy metal phytoextraction applications needs detailed data on both plant and plant growth-promoting bacterial genotypes for plant inoculation. Bearing that in mind, we showed in the present research that the auxin-producing population present in the Achillea rhizosphere was genetically very diverse, and that this diversity was in part due to the antimony concentration in soil, and in part to the plant physiological stage. However, only one ARDRA cluster of auxþ was isolated throughout plant growth development, regardless of the antimony concentration in the soil. This highlights the importance of considering not only the heavy metal concentration in the soil but also the plant development stage, when screening bacterial strains for such applications. Concerning the antimony concentration parameter, the total rhizospheric bacterial population did not change along the gradient, while the auxþ bacterial population £uctuated with the concentration of this pollutant. This is in apparent contradiction with numerous studies on other heavy metal soil contamination, showing a decrease of the total microbial population with increasing metal concentration [6,31,32]. Furthermore, we observed that a part of the genetic variability between auxþ isolates is associated with the antimony concentration in the soil, and that the number of diverse clusters isolated from each soil increases with the antimony concentration. These data are also in contradiction with numerous other studies that noted a lower diversity index between bacteria isolated from high metal-contaminated soils, compared to low metal-contaminated soils [33^36]. However, it is not possible to directly compare the results of the present study with those of the above cited works, as many of them investigated short-term e¡ects of heavy metals in experimentally contaminated soils [34,35], or long-term contaminated soils, but without plants [33,36]. Fewer in- vestigations address the e¡ects of heavy metals on microorganisms in the rhizosphere of plants naturally colonizing long-term polluted soils. For nickel-rich soils, it has been shown that bacteria isolated from the rhizosphere of the hyperaccumulator plant Alyssum bertolonii were genetically greatly diverse from those isolated from the non-rhizospheric soil [37]. Another study showed that the zinc concentration has no or only weak e¡ects on the total number of bacteria isolated from the rhizosphere of Thlaspi caerulescens or Trifolium pratense [38], which is completely in accord with our data. Concerning speci¢c bacterial populations such as PGPR, an investigation on Rhizobium leguminosarum biovar trifolii in a range of heavy-metal-contaminated soils is partly in agreement with our data, since it observed that heavy metals have a quantitative e¡ect on the population of rhizobia, but not on the genetic diversity [39]. Concerning the plant physiological stage parameter, the numerical £uctuation of the auxþ bacterial population could be explained by assuming that there was a selection for the auxin producers resulting from the composition of the root exudates, which are known to evolve with plant development [9]. Furthermore, our results showed that the plant stage not only a¡ects the number of auxþ isolates, but also the diversity of their populations. The highest level of genetic diversity between auxþ isolates was found when the Achillea roots were highly colonized by this type of bacteria (£owering and shoot death stages), suggesting that the selection of particular auxþ strains occurs when the roots are old. These results are consistent with published data for other plant species, which showed that the stage of plant growth signi¢cantly a¡ects the level of genetic diversity of PGPR populations, and that this phenomenon is related to the quantity and quality of the root exudates [22]. The results of this research have practical importance in the context of using plant growth-promoting agents in heavy metal phytoextraction experiments. Indeed, we found that only the ARDRA-1 auxþ genotype is present in the Achillea rhizosphere throughout plant growth development, regardless of the antimony concentration present in the soil. Thus, we hypothesize that if it were included in an inoculum, it would e⁄ciently colonize the Achillea rhizosphere. Furthermore, these strains were identi¢ed as P. corrugata or P. putida biotype B. Strains belonging to these species are widely distributed in nature and are often associated with a variety of plant species [19,22,40]. Some of them, isolated from seeds, hypocotyl tissue or the rhizosphere, are e¡ective PGPR strains used as an inoculum to promote the root development of plants in agricultural systems [41], as well as in cadmium-contaminated environments [19]. Releasing such auxþ strains in the Achillea rhizosphere could be of particular help in the phytoextraction of the antimony contaminant, especially in highly contaminated soils that naturally support a very poor £ora. FEMSEC 1567 17-9-03 C. Picard, M. Bosco / FEMS Microbiology Ecology 46 (2003) 73^80 Acknowledgements The initial part of this work was done at the DiBA of the Universita' degli Studi di Firenze (Italy) and at the ENSAIA of Nancy (France). We received grants from the OECD (C.P.), and from the Italian Ministry of University and Scienti¢c and Technological Research (PRIN 9905212224_003 to M.B.). We are grateful to Aldemaro Boscagli (Universita' degli Studi di Siena, Italy) for help in antimony mine site samplings and soil analysis, and to Gianni Simonti for technical assistance. We thank M. Schroth (University of California, USA), F. O’Gara (University College Cork, Ireland), G. De¤fago (ETH Zurich, Switzerland), M. Digat (INRA Angers, France), and J. 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