Academia.eduAcademia.edu
Madhaiyan et al. Biotechnol Biofuels (2015) 8:222 DOI 10.1186/s13068-015-0404-y Biotechnology for Biofuels Open Access RESEARCH Leaf-residing Methylobacterium species ix nitrogen and promote biomass and seed production in Jatropha curcas Munusamy Madhaiyan1, Tan Hian Hwee Alex1, Si Te Ngoh1, Bharath Prithiviraj2 and Lianghui Ji1* Abstract Background: Jatropha curcas L. (Jatropha) is a potential biodiesel crop that can be cultivated on marginal land because of its strong tolerance to drought and low soil nutrient content. However, seed yield remains low. To enhance the commercial viability and green index of Jatropha biofuel, a systemic and coordinated approach must be adopted to improve seed oil and biomass productivity. Here, we present our investigations on the Jatropha-associated nitrogen-ixing bacteria with an aim to understand and exploit the unique biology of this plant from the perspective of plant–microbe interactions. Results: An analysis of 1017 endophytic bacterial isolates derived from diferent parts of Jatropha revealed that diazotrophs were abundant and diversely distributed into ive classes belonging to α, β, γ-Proteobacteria, Actinobacteria and Firmicutes. Methylobacterium species accounted for 69.1 % of endophytic bacterial isolates in leaves and surprisingly, 30.2 % which were able to ix nitrogen that inhabit in leaves. Among the Methylobacterium isolates, strain L2-4 was characterized in detail. Phylogenetically, strain L2-4 is closely related to M. radiotolerans and showed strong molybdenum-iron dependent acetylene reduction (AR) activity in vitro and in planta. Foliar spray of L2-4 led to successful colonization on both leaf surface and in internal tissues of systemic leaves and signiicantly improved plant height, leaf number, chlorophyll content and stem volume. Importantly, seed production was improved by 222.2 and 96.3 % in plants potted in sterilized and non-sterilized soil, respectively. Seed yield increase was associated with an increase in female–male lower ratio. Conclusion: The ability of Methylobacterium to ix nitrogen and colonize leaf tissues serves as an important trait for Jatropha. This bacteria–plant interaction may signiicantly contribute to Jatropha’s tolerance to low soil nutrient content. Strain L2-4 opens a new possibility to improve plant’s nitrogen supply from the leaves and may be exploited to signiicantly improve the productivity and Green Index of Jatropha biofuel. Keywords: Culturable endophyte, Nitrogen ixation, Methylobacterium, Jatropha curcas L., Biofuel Background Jatropha curcas L. (Jatropha) is a woody perennial, drought-tolerant shrub belonging to Euphorbiaceae and is widely distributed in tropical and subtropical regions. Jatropha seeds contain high level of triacylglyceride with a fatty composition well suited for biodiesel production *Correspondence: jilh@tll.org.sg 1 Biomaterials and Biocatalysts Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore 117604, Singapore Full list of author information is available at the end of the article [1]. Jatropha is resistant to drought, able to thrive on marginal land under climate and soil conditions that are unsuitable for food crop plantation [2–5]. In addition to sequestrating CO2 and reducing the world’s reliance on fossil fuel, Jatropha helps control soil erosion [6] and detoxify polluted soil [7–9]. As a wild plant, however, Jatropha seed and oil productivity remains low, particularly when chemical fertilizer input is limited. Apart from breeding programs for high-yielding Jatropha varieties [10–12], agronomical practices, such as the application of inorganic fertilizer [13] and plant growth regulators, © 2015 Madhaiyan et al. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/ publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Madhaiyan et al. Biotechnol Biofuels (2015) 8:222 have also been reported to improve seed yield [14, 15]. As Jatropha is targeted to plant on marginal soil with low nutrient levels, fertilizer requirement would be higher than other crops. his would signiicantly afect the commercial viability of Jatropha and ofset the Green Index of Jatropha biofuel. It has been increasingly realized that plants form close association with a large population of diverse bacteria, which are either loosely associated with roots (rhizosphere bacteria), actively colonizing internal plants tissues (endophyte) and leaf surfaces (epiphyte) [16–21]. Plants often beneit from such interactions because of nitrogen ixation; production of plant growth hormones, such as auxin, cytokinin and gibberellin; delayed senescence through suppression of ethylene biosynthesis by secreting 1-aminocyclopropane-1-carboxylate (ACC) deaminase; alteration of sugar sensing mechanisms [22–24] and inhibiting pathogen attacks through production of hydrolytic enzymes [25], competition for space and nutrients [26, 27], and induction of systemic defence mechanisms [28–30]. Bacterial inoculations improved growth and development of switchgrass seedlings, signiicantly stimulated plant growth, and tiller number on the low fertility soil, and enhanced biomass accumulation on both poor and rich soils, with more efective stimulation of plant growth in low fertility soil than in high fertility soil [31]. Our previous study also showed that Kosakonia species suitable for limited N-content soil and signiicantly promoted growth and seed yield of Jatropha [32]. Here, we present an investigation on the diversity of culturable endophytic bacteria of Jatropha and a detailed study on the role of a novel leaf-colonizing diazotroph, Methylobacterium sp. strain L2-4, on Jatropha biomass and seed production. Results and discussion Culturable endophytic bacterial density in Jatropha tissues We sampled Jatropha root, stem and leaf tissues from three diferent germplasm accessions. Endophytic bacterial colonies were established on six diferent solid media after thorough surface sterilization of the plant tissues. As expected, endophytic bacterial densities varied amongst tissue types and culture media employed. he highest density was seen in roots, followed by stems while leaves showed the lowest density irrespective of the isolation media used (Additional ile 1: Figure S1). Similar to previous indings [33, 34], use of complete media, such as KB media and Medium 869, resulted in higher endophyte density while synthetic media, such as AMS with methanol as carbon source, Nfb or BAz media with malic acid or azelaic acid as the carbon source, yielded lower densities (Additional ile 1: Figure S1). Canonical discriminant analysis (CDA) of the combined population Page 2 of 14 data of 3 germplasm accessions showed that the origin of plant tissues and media employed for the isolation formed distinct groups (Additional ile 2: Figure S2). hese results suggest that the distribution of endophytic population vary within diferent parts of Jatropha and the bacterial population will be ill-presented if the investigation relies on a single medium. Given the large endophytic bacterial population found in various types of tissues, we focused our studies on selected representatives of culturable species, which were selected randomly according to colony morphology, color and size. Amongst the 1017 isolates selected for analyses, 49.4 % was derived from the roots, 29.8 % from stems and 20.8 % from leaves. 16S rRNA gene analysis assigned 34.4 % of them to α-Proteobacteria, 31.1 % γ-Proteobacteria and 24.5 % Actinobacteria (Additional ile 3: Table S1; Additional ile 4: Table S2). In leaves, α-Proteobacteria, particularly Methylobacterium genus clearly stood out in the population, while Sphingomonas, Pantoea, Kocuria, Microbacterium and Curtobacterium genera were also frequently isolated (Fig. 1; Additional ile 4: Table S2). he stem population resembled that of leaves, with Curtobacterium, Methylobacterium and Sphingomonas being the top 3 genera (Additional ile 5: Figure S3). In contrast, Pseudomonadaceae, Enterobacteriaceae and Rhizobiaceae dominated in roots (Additional ile 6: Figure S4). he growth promoting role of Enterobacter in Jatropha has been demonstrated previously [32]. Surprisingly, 31.2 % of the isolates potentially represent new taxa (Additional ile 7: Figure S5). Cell wall degrading endoglucanase activity was believed to be critical for endophytes to successfully colonize plants [35]. We found that 253 strains (24.9 %) exhibited clear zones on CMC plates stained with Congo red, indicating production of endoglucanase in those strains (Table 1, Additional ile 3: Table S1). Isolates from genera Cellulosimicrobium, Curtobacterium, Kosakonia and Pseudomonas were most frequently observed to produce endoglucanase. Unexpectedly, 55.9 % of the endophytic isolates did not show obvious endoglucanase activity. As it has been suggested previously, many of endophytes may passively entered the system from the root and spread to aerial parts in a systematic manner [36, 37]. Endophytic nitrogen‑ixing bacteria Among the 1017 isolates, 111 strains (11 %) were able to grow in nitrogen-free media. Members of the genus Pseudomonas (35.1 %), Curtobacterium (10.8 %), Methylobacterium (9.0 %), Sphingomonas (8.1 %) and Rhizobium (8.1 %) were the major taxa overall (Additional ile 4: Table S2, Additional ile 6: Table S3). To further conirm the diazotrophic nature of the strains, we analyzed the Madhaiyan et al. Biotechnol Biofuels (2015) 8:222 Page 3 of 14 Methylobacterium aminovorans JCM 8240T (AB175629) (1 strain) Methylobacterium aquaticum GR16T (AJ635303) (4 strains) Methylobacterium gregans 002-074T (AB252200) (3 strains) Methylobacterium hispanicum GP34T (AJ635304) (2 strains) Methylobacterium komagatae 002-079 (AB252201) (10 strains) Methylobacterium platani PMB02T (EF426729) (2 strains) Methylobacterium populi BJ001T (CP001029) (29 strains) Methylobacterium radiotolerans JCM 2831 (CP001001) (31 strains) Methylobacterium suomiense NCIMB 13778T (AB175645) (7 strains) Methylobacterium thiocyanatum DSM 11490T (AB175646) (2 strains) α-Proteobacteria Methylobacterium variabile GR3T (AJ851087) (2 strains) Methylobacterium zatmanii DSM 5688T (AB175647) (1 strain) L4-311 99 71 96 99 L8-458 99 Rhizobium alkalisoli CCBAU01393T (EU074168) Aurantimonas ureilytica 5715S-12T (DQ883810) (11 strains); Aureimonas jatrophae L7-484T; Aureimonas phyllosphaerae L9-753T 97 99 Sphingomonas abaci C42T AJ575817 (27 strains) 99 L3-20 99 Xanthomonas gardneri ATCC19865T (AEQX0100044) 99 Pseudomonas aeruginosa LMG1242T (Z76651) (7 strains) 99 99 L9-782 91 Moraxella osloensis (EU499677) γ-Proteobacteria Enterobacter arachidis Ah-143T (EU672801) 99 69 L1-1 99 Pantoea allii (AY530795) (15 strains); Tatumella morbirosei (EU344769) (8 strains) 74 99 99 Staphylococcus epidermidis (L37605) (4 strains) Bhargavaea cecembensis DSE10T (AM286423) Firmicutes 99 L3-146 81 L2-4-1 99 L7-483 99 Williamsia serinedens IMMIBSR-4 (AM283464) 99 L8-494 99 Mycobacterium cosmeticum (AY449728) 99 Corynebacterium singulare (Y10999) 99 L4-295 99 Kocuria koreensis P31T (FJ607312) (15 strains) 93 L1-101 60 L9-805 99 89 94 Actinobacteria 69 L7-617 L4-613 Micrococcus yunnanensis YIM65004T (FJ214355) 98 Microbacterium aquimaris (AM778449) (16 strains); Curtobacterium luteum (X77437) (10 strains) 0.02 Fig. 1 Phylogenetic positions and diversity of leaf-endophytic species. The tree was constructed based on 16S rDNA sequences using the Neighbor-Joining method. Bootstrap values (using 1000 replicates) are indicated at the branching points. Scale bar represents % estimated substitutions. Candidates for nitrogen-ixers (shown in blue) indicate the presence of nifH gene as evidenced by PCR ampliications. The number of strains is shown in parenthesis in red. The arrowhead sizes indicate the relative abundance of the genus Madhaiyan et al. Biotechnol Biofuels (2015) 8:222 Page 4 of 14 Table 1 Distribution of nitrogen-ixing and endoglucanase-positive strains originating from diferent media Media Medium Total number of isolatesa Positive isolates (%) nifHb Rich media ARAc Endoglucanased M869 257 132 (51.4) 81 (29.5) 98 (38.1) KB 354 206 (58.2) 143 (40.4) 155 (43.8) Heterotrophic media R2A 189 112 (59.3) 58 (30.7) 75 (39.7) Minimal media AMS 106 80 (75.5) 49 (46.2) 33 (31.1) N-free media Nfb 101 68 (67.3) 45 (45.6) 78 (77.2) Baz 10 5 (50.0) 5 (50.0) 9 (90.0) a Total number of isolates selected for 16S rRNA gene sequencing and phylogeny b PCR ampliication of nifH gene fragments was performed using speciic degenerate primers c Acetylene reduction activity in pure culture was measured by GC d Plate assays for endoglucanase activity using KM solid medium with 0.2 % CMC were spot inoculated with endophytes and incubated at 30 °C for 3 days nifH gene encoding the dinitrogenase reductase subunit. nifH sequences were detected by PCR in 64.8 % of the strains that were able to grow in N-free medium [38]. Notably, only 37.4 % nifH-positive strains displayed nitrogenase activity in vitro (Table 2; Additional ile 3: Table S1). he discrepancy may be attributed to the presence of non-functional nifH gene. Alternatively, nitrogenases were not functional under the in vitro assay conditions. herefore, the ability to grow on N-free medium and the presence of a nifH gene does not warrant nitrogenase activity in vitro. his is in accordance with several previous studies on nitrogen-ixing bacteria [39–41]. he majority of the nifH-positive isolates that failed to show in vitro nitrogenase activity belonged to the order Rhizobiales: e.g., Rhizobium, Ensifer, Sinorhizobium, Bradyrhizobium, and Mesorhizobium genera, which are known to ix nitrogen efectively only in root nodules [42, 43]. In contrast, isolates belonging to the genus Cellulomonas, Curtobacterium, Microbacterium, Mycobacterium, Chryseobacterium or Achromobacter showed AR activity. However, no nifH DNA sequences could be ampliied under the conditions used, suggesting the nifH genes in those isolates was more divergent. Our results demonstrated that Jatropha tissues are associated with an abundant and diverse population of diazotrophs. he diferential pattern of diazotrophic population in diferent parts of Jatropha shared high similarity to those of soybean and potato [42, 44], but it was signiicantly diferent from that of switchgrass and wild rice [45]. Analyses of nifH genes We sequenced the nifH PCR products from 42 strains that appeared to be unique species based on 16S rDNA sequences. All isolates showed AR activity in vitro culture except Rhizobium and Sinorhizobium groups. Alignment of the predicted NifH amino acid sequences formed 6 major clusters (A–F) (Fig. 2). It is noticeable that the NifH sequence homology does not consistently correlate with phylogenetic relationship. his suggests that multiple independent horizontal gene transfer events occurred in the evolution of nitrogen-ixing bacteria. Notably, cluster F include sequences from leaf isolates only, all belonging to the genus Methylobacterium. hese sequences were highly divergent from NifH consensus sequence [46]. In fact, they were more related to the Pfam NifH/ frxC-family protein, i.e., chlorophyllide reductase iron protein subunit X involved in photosynthesis [47]. Nitrogenase activity of Methylobacterium species in vitro and in planta Among 125 Methylobacterium isolates (Additional ile 4: Table S2) characterized from Jatropha plant tissues, obvious AR activity was observed in 34 strains (20–634 nmol C2H4/bottle). 52 strains showed weak AR activity (<20 nmol C2H4/bottle) while 39 strains had no detectable activity although all strains had the nifH-like sequences (Additional ile 3: Table S1, Additional ile 4: Table S2). Phylogenetically, AR-positive strains were closely related to M. radiotolerans, M. populi, M. komagatae and M. aquaticum (Additional ile 3: Table S1). Strain L2-4 can be classiied as M. radiotolerans based on its rDNA sequence and was among the fastest grower in N-limiting conditions and showed distinct AR activity in vitro (Additional ile 9: Figure S6). Assays of its AR activity in the presence or absence of iron (Fe2+), molybdenum (MoO42−) and vanadium (V) suggest that the L2-4 strain nitrogenase used Fe2+ and MoO42−) as cofactors. he highest AR activity was recorded in the presence of FeSO4 (10 mg/l) and Na2MoO4 (5 mg/l) (Fig. 3a). Vanadium showed weak inhibitory efect. As expected, ammonium ion strongly inhibited AR activity (Fig. 3b). he ability of L2-4 strain to ix nitrogen in planta was conirmed by inoculating the strain to Jatropha by foliar Madhaiyan et al. Biotechnol Biofuels (2015) 8:222 Page 5 of 14 Table 2 Distribution of nifH-positive representative bacterial taxa in the leaf, stem and root of Jatropha germplasm accessions Phylogenetic group Genera (21) Number of isolates AR‑activity positivea Actinobacteria Leaf Stem 10 35 1 1 2 1 1 Cellulomonas Curtobacterium AR‑activity negativeb Root Leaf Stem Root 16 21 4 1 5 1 Microbacterium Micromonospora Mycobacterium Bacteroidetes Chryseobacterium Firmicutes Paenibacillus α-Proteobacteria Bradyrhizobium 3 1 Ensifer 1 Herbaspirillum 1 13 Mesorhizobium Methylobacterium 3 63 21 Pleomorphomonas β-Proteobacteria γ-Proteobacteria 30 7 1 Rhizobium Sphingomonas 2 2 15 16 2 14 52 12 16 4 Achromobacter 11 Burkholderia 4 Klebsiella 1 Kosakonia 1 Enterobacter 8 8 33 11 2 104 1 8 4 12 Pseudomonas 6 16 a Number of positive isolates showing ethylene peak was measured by GC b Number of isolates failed to produce ethylene peak or undetectable quantity spraying and maintaining the plants under sterile condition. Seedlings treated with strain L2-4 showed strong AR activity (204.6 nmol C2H4 g−1 dry tissues day−1). Furthermore, L2-4 strain also displayed strong AR activity in planta in sorghum, rice, cotton, and caster plant (Fig. 3c). he association between Methylobacterium species and host plants varies from strong or symbiotic to weak or epiphytic and to intermediate or endophytic [48, 49]. Methylobacterium nodulans and M. radiotolerans have been reported to be involved in nitrogen ixation and nodule formation [50, 51], while other Methylobacterium species has been reported multiple plant growth promoting traits [52, 53]. 1 1 Pantoea Stenotrophomonas 1 4 39 5 Epiphytic and endophytic colonization by Methylobacterium Methylobacterium species have been found in association with several species of plants, actively colonizing leaves, stem, branches and roots [54–60]. Methylobacterium cells were observed in intracellular space of the meristematic cells of Scots pine and tomato [61, 62]. Endophytic occurrence of Methylobacterium was conirmed in Medicago truncatula leaves [63]. We found that strain L2-4 colonized on leaf surfaces (epiphytic) as well as inside leaf tissue of Jatropha grown under sterile conditions. On day 45 after leaf spraying, surface-sterilized leaf tissues had endophytic bacteria counts of 5.2 × 106 cfu/g leaf tissues. (See igure on next page.) Fig. 2 Phylogenetic tree of partial NifH sequences. Alignment was made for the 192 amino acid residues corresponding to amino acid 34–184 in Azotobacter vinelandii NifH protein. The tree was constructed using the Neighbor-Joining method. The scale bar denotes 0.05 % of sequence distance. The retrieved sequences, in bold, were grouped into clusters A, B, C, D, E and F. The arrowhead sizes indicate the relative abundance of the genera. Bootstrap values above 50 % are indicated at the branching nodes. Jatropha isolates shown in light blue color indicate the presence of nifH gene as evidenced by PCR ampliications. The position of root isolates and leaf isolates is marked with red and green arrowheads, respectively Madhaiyan et al. Biotechnol Biofuels (2015) 8:222 Page 6 of 14 90 R5-409 (KR075971) Bradyrhizobium japonicum (HM057562) 60 Bradyrhizobium elkanii (DQ485701) Beijerinckia indica subsp. indica (AF296354) Bradyrhizobium japonicum (GQ289565) Sphingomonas azotifigens (AB217474) S8-608 (KR075970) 76 Cluster A α,β,γ-Proteobacteria Sphingomonas sp. BR12248 (ACR19159) Acidithiobacillus ferrooxidans (M15238) Sphingomonas paucimobilis (KF182367) Burkholderia rhynchosiae (EU219869) 52 Burkholderia vietnamiensis (EF158810) R2-127 (KR075947) 84 75 Burkholderia phymatum (FN908422) R5-408 (KR075960) 83 Herbaspirillum seropedicae (U97121) 98 Herbaspirillum sp. B501 (AB196476) Rhodobacter capsulatus (M15270) 52 Rhodopseudomonas lichen (AB241413) P. diazotrophica R5-392T (KC195919) 65 Gluconacetobacter diazotrophicus (AF030414) Methylobacterium nodulans (AY312969) 59 Azospirillum brasilense (M64344) Rhizobium etli (NC_004041) Cluster B α-Proteobacteria Rhizobium tropici (JX863573) R2-708 (KR075967) Sinorhizobium meliloti (WP_018097454) 54 R7-601 (KR075968) S6-271 (KR075962) S2-45 (KR075961) 82 Mesorhizobium tianshanense (GQ167282) R1-73 (KR075966) 58 Azotobacter vinelandii (M20568) Pseudomonas stutzeri (AF117977) 68 Kosakonia spp. (R5-395, R5-424, R5-362, R4-323, R5-397, R5-326, R4-412, R4-724, R4-368, R4-369, R4-414, R4-422, and R4-381), Klebsiella sp. (R5-431), Pantoea sp. (R4-341)† 93 Cluster C γ-Proteobacteria R1-312 (KR075964) 99 Paenibacillus odorifer (AJ223992) Stenotrophomonas maltophilia (EF620510) R2-208 (KR075969) Cluster D γ-Proteobacteria Firmicutes R7-596 (KR075963) 99 MicromonosporaspFN395243 Cluster E Actinobacteria MicromonosporalupiniFN395238 Methylobacterium spp. (L2-4, L7-438, S8-665, L4-301, 99 0.1 L6-305, L6-306, L6-314, L7-470, L8-475)‡ Cluster F α-Proteobacteria (nifH-like) Madhaiyan et al. Biotechnol Biofuels (2015) 8:222 Page 7 of 14 Epiphytic population based on leaf-imprinting assay was >100 cfu (cm2)−1 in treated leaves. As expected, pink color colonies were not detected in non-treated leaves of Jatropha seedlings grown under sterile conditions. nmol C2H4 mg of protein-1 h-1 a 1800 1600 1400 1200 1000 800 600 400 200 0 Inoculation of Methylobacterium improved production of biomass and seeds minus Fe Fe/Mo/V Mo Fe+Mo Fe+V Mo+V Fe+Mo+V V nmol C2H4 mg of protein-1 h-1 b 1600 1400 1200 1000 800 600 400 200 0 -200 0 0.1 1 5 2 10 NH4Cl (mM) in planta AR acvity (nmol C2H4 g-1 sample day-1) c 250 200 150 100 50 0 Co on Sorghum Castor bean Rice Jatropha Fig. 3 Characterization of nitrogenase. a, b Acetylene reduction activity in vitro. Methylobacterium L2-4 was cultured in N-free medium containing various combination of co-factors (Fe/Mo/V) or concentrations of NH4Cl. a Efects of co-factors. b Sensitivity to ammonium ions. c Nitrogenase activity of in planta. Seedlings of various crops were inoculated with L2-4 strain and AR assays were done 20 days after inoculation. Each value represents mean ± standard deviation (SD) of three replicates To further conirm the growth promoting efect of strain L2-4, Jatropha seedlings were inoculated with the bacterial suspension through seed soaking and as foliage spray. Seed treatment by soaking seeds with L2-4 bacterial suspension for 2 h increased germination rate by 24 %, from 49.6 % in mock-inoculated seeds to 61.5 % in treated seeds. At 45 days after sowing, the average dry biomass of inoculated plants was 40.1 % higher than the mock-inoculated plants and this was associated with signiicantly increased leaf chlorophyll content and seedling vigor (Table 3). Several studies reported that Methylobacterium inoculation through seed imbibition and phyllosphere spray enhanced seed germination rate, storability, and seed vigor [64–66]. In another word, Methylobacterium has both nurturing and protecting roles for the plants [67]. To demonstrate that nitrogen-ixing strain L2-4 is able to improve seed production of Jatropha, seedlings were inoculated by leaf spraying, planted in large pots and maintained in the open air. Again, L2-4 treated plants showed signiicant improvements in plant height, leaf counts, leaf chlorophyll content and stem volume compared with the untreated control plants (Fig. 4). At 120 DAI, treated plants recorded an increase of 11.5, 57.1, 11.4 and 56.2 % over the mock-inoculated controls in plant height, leaf counts, leaf chlorophyll content and stem volume, respectively (Fig. 4a–d). In consistence with the plant growth promotion, leaf-epiphytic and endophytic populations were found signiicantly higher in inoculated plants. Total leaf-associated methylotrophic bacterial density ranged from 7 to 7.5 log cfu g−1 of tissues in treated leaves compared to 6–6.7 log cfu g−1 of tissues in mock-treated plants at 60–120 DAP (Fig. 4e, f ). Leaf-imprinting conirmed that strain L2-4 was an Table 3 Efects of L2-4 strain inoculation on the early growth parameters of Jatropha Treatmentsa SVIb Relative chlorophyll content Seedling dry biomass (per seedling)c Control 1818.4 ± 69.3 34.91 ± 1.79 3.07 ± 0.27 L2-4 3297.7 ± 153.7 38.81 ± 0.51 4.30 ± 0.18 LSD (P ≤ 0.05) 551.02 3.18 0.32 a After seed soaking, the seeds (50 seeds/replicate, n = 3) were drained and sown in trays containing non-sterilized soil and maintained in a greenhouse and at 28 °C b Seedling vigor index (SVI) was calculated using the formula: SVI = % germination × seedling length (shoot length + root length) in cm c Each value represents mean of three replicates and expressed in grams. Samples were measured at 45 DAS Madhaiyan et al. Biotechnol Biofuels (2015) 8:222 Page 8 of 14 Plant height (cm) 60 50 40 30 20 10 0 * * * CTL L2-4 60 90 Rel. chlorophyll cont. b a 50 30 CTL 20 L2-4 10 0 120 60 c 120 d 35 30 25 20 15 10 5 0 500 * * * CTL L2-4 Stem volume Number of leaves (#) 90 DAP DAP * 400 * 300 CTL L2-4 200 NS 100 0 60 90 120 60 DAP 90 120 DAP f 70 60 50 40 30 20 10 0 * * * CTL L2-4 60 90 120 DAP LAB (log cfu/g of ssue) e PPFMs density (per cm2) * * 40 8.5 8 7.5 7 6.5 6 5.5 5 4.5 4 * * * CTL L2-4 60 90 120 DAP Fig. 4 Promotion of Jatropha biomass growth. Jatropha seedlings were inoculated by leaf spraying, planted in large pots and maintained in the open air. Sterilized and non-sterilized garden soil was used in Trail I and II, respectively. Values are mean ± standard deviation (SD). a Plant height; b relative chlorophyll content; c number of leaves; d stem volume; e pink-pigmented facultative methylotrophic bacteria population; f leaf-associated bacteria. Asterisk means signiicant diference at 5 % threshold between treated and control using DMRT. NS not signiicant epiphyte, displaying 50–60 cfu (cm2)−1 in treated leaves compared to 8–11 cfu (cm2)−1 in non-treated leaves (Fig. 5). We analyzed the 16S rRNA sequence of 20 randomly picked colonies from the leaf-imprinting (Fig. 5a) and 15 of them (75 %) were identical to that of L2-4. hese results indicate that L2-4 strain competed well with indigenous phyllosphere microlora under nonsterile conditions. As expected, pink-pigmented Methylobacterium were detected in low density in roots or stems irrespective of L2-4 treatments (data not shown). In two independent long-term open-air growth experiments using sterilized and non-sterilized soil, the average seed set per tree was increased by approximately 213 and 84.3 %, respectively (Table 4). Student’s t test showed that Fig. 5 Leaf imprinting. The systemic leaves of L2-4 inoculated plants (at 30 DAI) were printed on an ammonium mineral salts plate supplemented with 0.5 % methanol (v/v) and incubated at 30 °C for 4 days. a, b show a leaf from an inoculated plant and control plant, respectively Madhaiyan et al. Biotechnol Biofuels (2015) 8:222 Page 9 of 14 Table 4 Efects of L2-4 strain inoculation on lower sex ratio and seed yield parameters of Jatropha Treatment Number of female lowers per inlorescencea Number of male lowers per inlorescen‑ cea Ratio female:male lower Number of fruitsb Number of seedsb Seed weight (g)b per seed weight (mg)* Control 1.68 ± 0.14 25.2 ± 1.83 1:15 4.75 ± 0.71 13.5 ± 2.13 6.86 ± 0.91 426.5 ± 41.8 L2-4 4.48 ± 0.62 39.2 ± 4.19 1:9 16.6 ± 1.19 42.3 ± 4.27 22.1 ± 2.04 478.7 ± 20.7 LSD (P ≤ 0.05) 0.75 4.08 1.13 4.12 1.93 Control 3.5 ± 0.07 55.0 ± 2.08 1:16 10.7 ± 1.15 28.6 ± 3.78 13.6 ± 0.51 424.1 ± 25.2 L2-4 9.28 ± 0.19 72.3 ± 1.99 1:8 18.4 ± 1.98 52.7 ± 4.72 26.7 ± 0.84 472.0 ± 13.0 LSD (P ≤ 0.05) 1.92 8.18 1.50 3.57 2.39 Trail I Trail II Seedlings were inoculated by foliar spraying at 21 days after seed germination. A second spraying was made at the lowering stage. Plants were planted in large pots (n = 8 in Trial I and n = 12 in Trial II) and maintained in the open air Values are mean ± standard deviation (SD). Sterilized and non-sterilized garden soil was used in Trail I and II, respectively a Data were recorded with 25 and 50 inlorescences at diferent time points for Trail I and II, respectively b Number of fruits/plant, number of seeds/plant and seed weight/plant were recorded on 480 and 540 DAI from Trail I and II, respectively * Student’s t test showed that trees treated with L2-4 had signiicantly higher seed sets and seed yield per plant than non-treated controls (P < 0.05) the treated plants produced signiicantly more seed sets than mock-treated ones in both experiments (P < 0.05). he improvement in seed yield was associated with an increase of female-male lower ratio and fruit sets (Table 4). he average single seed weight was increased by 12.2 % in Trial I and 11.3 % in Trial II, both being very signiicant according to Student’s t test (P < 0.01). Cytokinin has been shown to improve female-to-male lower ratio [15] and Methylobacterium has been shown to change auxin and ethylene levels in plants due to secretion of 1-aminocyclopropane-1-carboxylate (ACC) deaminase [68]. he cross-talk between cytokinin and ethylene pathways is well established. Methylobacterium strain L2-4 appears to promote Jatropha growth and seed setting via multiple mechanisms, including nitrogen ixation, modulating photosynthesis, leaf senescence and lower sex diferentiation. he genome of strain L2-4 presents several genes involved in metabolic pathways that may contribute to promotion of plant growth and adaptation to plant surfaces [46]. Methylobacterium on plant surfaces beneit from methanol produced by plants by means of methylotrophy [59, 69, 70]. However, methanol is not the only carbon substrate that these bacteria are able to consume in the phyllosphere [63]. Conclusions We have provided strong evidence that the dominant leaf-associated Methylobacterium species were able to promote Jatropha growth and seed yield, at least in part due to nitrogen ixation. To the best of our knowledge, this is the irst report of bacterial nitrogen ixation on leaf surface although strain L2-4 is also a competent endophyte in Jatropha. he abundance of endophytic nitrogen-ixing bacteria in Jatropha may contribute to Jatropha’s strong tolerance to poor soil nutrient. Our studies also suggest that strain L2-4 is able to promote growth and perform nitrogen ixation in a much wider range of crops. Methods Sampling and isolation of endophytic bacteria Jatropha germplasm accessions collected in the form of seeds from Maluku Island, Indonesia; Yunnan Province, China; and Madurai, Tamil Nadu, India, and the plants were maintained at the Agrotechnology Experimental Station, Singapore. hese natural germplasms accessions have been selected in the breeding program of JOil Company (http://www.joil.com.sg/) to generate hybrid plants on the basis of high productivity [71]. Healthy, symptomless leaves, stems and roots were collected from three individual plants of each germplasm and treated separately. Lateral roots of approximately 15 cm away from the primary stems with diameters from 0.5 to 1.5 cm were collected. Fully expanded leaves with no obvious pathogenic infections were collected. Similarly, uninfected stem segments of about 2.0–2.5 cm in diameter were sampled. All tissues were washed with 70 % ethanol at the cut sites and placed in plastic bags on ice during transportation. Subsequently, samples were subjected to a two-step surface sterilization procedure by washing for 5 min in 1 % (w/v) sodium hypochlorite supplemented with 1 drop of Tween 80 per 100 ml solution followed Madhaiyan et al. Biotechnol Biofuels (2015) 8:222 by three rinses in 70 % ethanol in sterilized distilled for 1 min each. To ensure complete surface sterilization, a second treatment was performed by washing the tissues for 15 min in 15 % H2O2, followed by 1 min in 70 % ethanol, and then rinsed in sterilized distilled water. A 100 µl sample of the water from the third rinse was plated on rich medium to verify the eiciency of sterilization. Surface-sterilized tissues were macerated by grinding in 50 ml 10 mM MgSO4 and serially diluted suspensions were plated on various solid media with 15 g/l agar or phytagel, including 869 medium [33], R2A medium [72], King’s B medium [73] and Ammonium Mineral Salt (AMS) medium [74], Nfb medium [75] and BAz medium [76]. Nitrogen-ixing bacterial populations were estimated by the Most Probable Number (MPN) technique using ive tubes per dilution with duplicate tubes per dilution [77], and incubated at 30 °C for 4–5 days. Bacterial growth as seen by a ine subsurface pellicle in the tubes were further puriied by transferring to an N-free semi-solid medium, and single colonies were isolated by streaking on respective N-free agar plates. For N-free semi-solid medium, MPN counts were calculated at a level of 95 % conidence according to the method previously described [78]. 16S rRNA gene ampliication, sequencing, and strain identiication Phylogenetic positions of bacterial isolates were determined by sequence analysis of the complete 16S rRNA genes. Genomic DNAs were prepared as described previously [79]. 16S rRNA genes were ampliied by PCR using universal primers 27F and 1492R [80] (all primer sequences are shown in Additional ile 10: Table S4) with the following cycling conditions: initial denaturation for 10 min at 95 °C; 30 cycles of 1.5 min at 95 °C, 1.5 min at 55 °C and 1.5 min at 72 °C; and a inal extension for 10 min at 72 °C. PCR products were gel-puriied and sequenced directly or cloned in pGEM-T Easy (Promega, Madison, USA) before sequencing with the Big-dye sequencing method (AB Applied Biosystems, Hitachi) using primers 27F, 1492R, 785F, 518R and 1100R. Sequences were aligned with the Megalign program of DNASTAR and analyzed against the EzTaxon-e Database (http://www.ezbiocloud.net/eztaxon) [81]. Phylogenetic analyses were performed by the Neighbor-Joining [82], Maximum-Likelihood [83] and Maximum-Parsimony [84] methods using the MEGA version 5.05 [85] with the bootstrap values set at 1000 replications [83]. Screening for cell wall degrading endoglucanase activity Endoglucanase activity was determined as described previously [86] with some modiications. Plates containing Kim-Wimpenny solid medium with 0.2 % Page 10 of 14 carboxymethyl cellulose (CMC) [87], with or without 0.5 % d-glucose, were spotted with 1 µl of grown cultures (OD600nm = 1.0), air-dried and incubated at 30 °C for 3 days. Cell colonies were lushed of plates with water and plates were stained with a 0.1 % Congo red solution for 30 min, followed by several washes with 1 M NaCl. he appearance of clear yellow halo around the colony in a red background indicates positive staining for endoglucanase activity. Nitrogenase activity assay and nifH gene screening Nitrogen-ixing capability of isolated strains was screened by testing their growth in 2 ml nitrogen-free liquid medium as described previously [32]. Nitrogenase activity of selected strains was conirmed by acetylene reduction assay (ARA) in liquid cultures injected with puriied acetylene gas (15 % v/v) in gas-tight bottles, which were incubated up to 96 h at 30 °C. Gas samples (0.5 ml) were extracted at regular intervals with a PTFE-syringe (Hewlett-Packard, USA) and analyzed in a Gas Chromatograph (GC 6890 N, Agilent Technologies Inc., USA) with an FID operated under the following conditions: carrier gas: He-35 ml/min; detector temperature: 200 °C; column: GS-Alumina (30 m × 0.53 mm I.D.); pressure: 4.0psi. Ethylene produced by the bacteria was quantiied using standard ethylene (C2H4, Product Number: 00489, Sigma-Aldrich) curve prepared in duplicates in concentrations ranging from 1 to 1000 nmol. Protein concentration was determined with a modiied Lowry method using BSA as the standard. For nitrogenase switch-of/ switch-on assay, Methylobacterium cells were grown in N-free medium containing diferent levels (0–10 mM) of ammonium chloride and nitrogenase co-factors FeSO4 (10 mg l−1), Na2MoO4 (5 mg l−1) and VCl2 (18.1 mg l−1). Acetylene reduction activity in planta was performed as described previously [32]. Briely, samples from each replication were collected from the glass house and most of the adhering soil was removed by shaking. Seedlings were inserted into the 125 ml glass bottles, closed with a 20 mm red stopper sleeve. After removing an equivalent volume of air, acetylene was injected into these bottles to give a inal concentration of 15 % and incubated at 30 °C for 24 h. In planta acetylene reduction activity was measured by GC and value is expressed in nmol C2H4 released day−1 seedlings−1 after subtracting plant’s background C2H4 emission. PCR ampliication of nifH gene fragments was performed using primers nif-Fo and nif-Re under stringent cycling conditions as described [88], i.e., 95 °C/5 min, 40 cycles of 94 °C/11 s, 92 °C/15 s, 54 °C/8 s, 56 °C/30 s, 74 °C/10 s and 72 °C/10 s, and inal extension for 10 min/72 °C. PCR products were puriied with QIAquick gel extraction kit (Qiagen, USA) and sequenced. Madhaiyan et al. Biotechnol Biofuels (2015) 8:222 Leaf colonization by Methylobacterium Surface sterilization of Jatropha seeds was done by washing coat-less seed kernels in 90 % ethanol (v/v) for 1 min and 10 % H2O2 (v/v) for 60 min followed by 3-5 rinses in sterilized distilled water. After soaking overnight at 28 °C in darkness, they were germinated on a hormonefree seed germination medium [32] in Petri dishes and incubated at 25 °C with 16/8 h light–dark cycles. After 10 days, healthy seedlings (10 seedlings/replica, n = 3) were transferred to Phytatrays (Sigma, USA) containing sterile sand (autoclaved) with 40 ml of plant nutrient solution [89]. Jatropha leaves were sprayed with L2-4 suspension (108 cfu/ml) till completely wet. On day 45 and 60, epiphytic population was determined from leaves of inoculated plants were printed on an AMS agar plate supplemented with 0.5 % methanol (v/v) and incubated at 30 °C for 3–5 days. Endophytic colonization was determined from surface-sterilized leaves and homogenize with sterile pestle and mortar followed by serial dilution methods. Serially diluted samples were plated on an AMS agar plates, incubate at 30 °C for 3–5 days and pinkpigmented colonies counted from 10−3 to 10−4 dilutions. Efect of Methylobacterium L2‑4 on Jatropha seedling early growth Seedling vigor test was performed with Jatropha to study efects of foliar spray with ACC deaminase producing Methylobacterium. Strain L2-4 was cultured in 2YT broth supplemented with 1 % methanol (v/v) until exponential growth phase and harvested by centrifugation. After washing once with sterile distilled water, inoculants were made by re-suspending the pellets in water to an OD600nm of 1.2 (~108 cfu ml−1). To assess the impact on seed germination and early growth of seedlings, imbibed seeds (50 seeds/replica, n = 3) were sown in plastic pots individually and allowed to develop into seedlings. Foliar application was done after seed germination and growth parameters were recorded at 45 DAS. Efect of Methylobacterium on Jatropha growth and seed yield Seeds of J. curcas cv. MD44 were used throughout the experiments. Surface sterilization of seeds was done by washing coat-less seed kernels in 75 % ethanol (v/v) for 1 min and 10 % H2O2 (v/v) for 60 min followed by 3–5 rinses in sterilized distilled water. After soaking overnight at 28 °C in darkness, they were germinated on a hormone-free seed germination medium (1/2 MS salt, B5 vitamins, 5 g l−1 sucrose, 0.5 g l−1 MES and 2.2 g l−1 phytagel, pH 5.6) in Phytatrays (Sigma, USA) in a tissue culture room with a temperature of 25 ± 2 °C and 16/8 h light–dark cycles. To assess the efects of bacterial inoculation on the growth and yield of Jatropha under natural conditions, two pot culture experiments were Page 11 of 14 conducted with garden soil. Plants were planted in pots (one plant per pot) in sterilized soil (compost/sand mix at 1:1 ratio and in ɸ23 cm, 18 cm height pots; named as Trial I) or non-sterilized soil (nutrient poor clay soil in ɸ30 cm, 28 cm height pots; named as Trial II). Trial I and Trial II were maintained in diferent locations and started in diferent seasons. L2-4 cell suspension (1.2 OD600) was applied as foliar spray till wetting of the leaves at 21 days after seed germination. Commercial NPK Fertiliser was applied once in 15 days at about half of the recommended dose of approximately 50:30:30 g−1 plant−1 year−1. Biometric observations were recorded once in 30 days. After lowering, yield parameters were recorded once in 30 days. Seed set numbers per plant (n = 9 in Trial I and n = 12 in Trial II) were measured at 480 and 520 DAI in Trail I and Trail II, respectively, and single seed weight was calculated based on the average of 180 randomly selected seeds per treatment were measured. Triplicate leaf samples were randomly picked from three plants on 30 DAI. For methylotrophic bacterial enumerations, homogenates were serially diluted using 1X PBS and plated on to AMS media with 0.5 % methanol to determine the methylotrophic population. Pink-pigmented colonies were counted after incubating the plates for 5 days at 30 °C. Further conirmation, 20 pink color colonies per replica were picked from 10−5 dilution and streaked on AMS agar plates and puriied. Puriied colonies were sequenced by 16S rRNA sequencing and identiied using the EzTaxon server [81] on the basis of sequence data and sequencing results compared with pairwise identity of strain L2-4. Statistical analysis Statistical analyses were carried out using the Statistical Analysis System (SAS) Version 9.2 (SAS Institute Inc., Cary, North Carolina, USA). Analysis of variance (ANOVA) for the endophytic and total bacterial population was carried out using the General Linear Model, GLM in SAS. he bacterial population data were log transformed before being subjected to further analysis. he means of the treatment results were subjected to ANOVA and presented using Fisher’s protected Least Signiicant Diference (LSD). he model adopted was A [log CFU (g/ FW)] = C (cultivar) Pt (plant tissue) M (medium) C*Pt C*M Pt*M to check the efect of individual factors and the interactions between them. A canonical discriminant analysis was carried out to discriminate the variations among the cultivars or plant tissue with reference to the endophytic and total population. Given two or more groups of observation with measurements on several quantitative variables, CDA derives a linear combination of the variables that have the highest possible multiple correlation with the groups. Endophytic bacterial inoculation data were subjected to analysis of variance and testing of means by Duncan’s Multiple Range Test (DMRT) at P ≤ 0.05 Madhaiyan et al. Biotechnol Biofuels (2015) 8:222 using SAS package. Student’s t test was done using the JavaScript maintained by Professor Hossein Arsham, Johns Hopkins Carey Business School (http://home.ubalt.edu/ ntsbarsh/Business-stat/otherapplets/MeanTest.htm). Nucleotide sequence accession numbers All 16S rRNA gene sequences determined in this study have been submitted to NCBI under the accession numbers JQ659304 to JQ660320 and the numbers are also listed in Additional ile 3: Table S1. nifH gene sequences have been submitted to NCBI under the accession numbers KR075947-KR075982, KC195919 and CP005991. Additional iles Additional ile 1: Figure S1. Culturable endophytic bacteria densities in various Jatropha tissues. Surface-sterilized tissues (roots, stems and leaves) were grinded into ine powder; diluted in water in series and plated on to diferent media. Values shown are the average of three individual plants originating from the same germplasm collection. (a) Germplasm from Indonesia, (b) Germplasm from China and (c) Germplasm from India. Each value represents the mean ± SD, n = 3. Additional ile 2: Figure S2. Discriminant function analysis. Ordination plots of variables resulting from the irst (CAN1) and second (CAN2) canonical functions for diferent plant tissue types (a) and media (b). The variables were generated based on the total populations from diferent plant tissues (leaf, stem and root) and media (HTM, NFM and MM). Additional ile 3: Table S1. Complete table of taxonomic units (strains) derived from surface sterilized Jatropha tissues. Table includes, strains, cultivars, plant tissue, growth media, close relatives, pairwise similarity, class, GenBank ID number, nifH positive, endoglucanase and N-ixing activity. *EzBioCloud software to identify closely related type strains (Kim et al., 2012). The media 869, R2A and King’S B medium used for isolation of heterotrophic bacteria; AMS medium used for isolation of methylotrophic bacteria; N-free semisolid used for isolation of diazotrophic bacteria. Additional ile 4: Table S2. Distribution of representative bacterial taxa in the leaf, stem and root of Jatropha biodiesel plants. Relative abundance of diferent taxon at genus level based on 16S rRNA gene sequences under diferent classes or phyla. Additional ile 5: Figure S3. Phylogenetic positions of stem endophytes. The tree was constructed based on the 16S rDNA sequences using the Neighbor-Joining method. Bootstrap values (using 1000 replicates) are indicated at the branching points. Scale bar indicates % estimated substitutions. Candidate for nitrogen-ixers (shown in blue) indicate the presence of nifH gene as evidenced by PCR ampliications. The number of strains is shown in parenthesis in red. The green arrowhead sizes indicate the relative abundance of the genus. Additional ile 6: Figure S4. Phylogenetic positions of root endophytes. The tree was constructed based on the 16S rDNA sequences using the Neighbor-Joining method. Bootstrap values (using 1000 replicates) are indicated at the branching points. Scale bar represents % estimated substitutions. Candidate for nitrogen-ixers (shown in blue) indicate the presence of nifH gene as evidenced by PCR ampliications. The number of strains is shown in parenthesis in red. The yellow arrowhead sizes indicate the relative abundance of the genus. Additional ile 7: Figure S5. Cultivable endophytic bacterial diversity of Jatropha. Distribution of the phylotypes (%) over the diferent phyla and classes. The bar of each phylogenetic group is subdivided according to the diferent identiication levels of the phylotypes. The group “identiied at species level” contains those phylotypes that belong to existing species with a 16S rDNA homology threshold of ≥ 99.0 %. The group “identiied Page 12 of 14 at genus level” contains phylotypes that, based on phylogeny, belong to a particular genus and may represent a new species within that particular genus or an existing species within this genus showing < 99 % 16S rRNA gene sequence pairwise similarity with the type strain of this species. The group “potential gen. nov.” contains those phylotypes that could not be assigned to a particular genus (< 97 % pairwise similarity) based on the phylogeny of the 16S rRNA gene. Additional ile 8: Table S3. Distribution of representative bacterial taxa in the diferent germplasm of Jatropha biodiesel plants. Relative abundance of diferent taxon at genus level based on 16S rRNA gene sequences under diferent classes or phyla. Additional ile 9: Figure S6. Gas chromatography chromatogram showing ethylene and acetylene peaks. (a) 0.5 ml of 4.85 μmol ethylene (C2H4, Product Number: 00489, Sigma-Aldrich) standard was injected in GC. (b) Strain L2-4 inoculated in N-free medium (40 ml) and ARA was performed by injecting puriied acetylene into the bottles sealed with gas-tight serum stoppers to yield 15 % acetylene (v/v); this was followed by incubation for up to 48 h at 30 °C. (c) ARA was performed without strain L2-4 (blank). Additional ile 10: Table S4. List of primers used in this study. Abbreviations ACC: 1-aminocyclopropane-1-carboxylate; AMS: ammonium mineral salt medium; ANOVA: analysis of variance; ARA: acetylene reduction activity; CDA: canonical discriminant analysis; CFU: colony forming units; CMC: carboxymethyl cellulose; DAI: days after inoculation; DMRT: Duncan’s multiple range test; LSD: least signiicant diference; MPN: most probable number; PGP: plant growth promotion; RG: rate of germination; SAS: statistical analysis system; SVI: seedling vigor index. Authors’ contributions MM and LJ conceived experiments and drafted the manuscript. MM performed strain isolation, characterization and bioassays for bacteria and plants. NST and THHA participated in plant inoculation experiments, data analysis and helped to revise the manuscript. BP participated in the bioinformatic, statistical analysis and helped to revise the manuscript. All authors read and approved the inal manuscript. Author details 1 Biomaterials and Biocatalysts Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore 117604, Singapore. 2 Plant Biology Division, The Samuel Roberts Noble Foundation, Ardmore, OK 73401, USA. Acknowledgements This work was supported by the Temasek Foundation and the Singapore Economy Development Board (EDB). Competing interests The authors declare that they have no competing interests. Temasek Life Sciences Laboratory has an interest in using selected nitrogen-ixing strains for applications in agriculture. Received: 9 June 2015 Accepted: 30 November 2015 References 1. Openshaw K. A review of Jatropha curcas: an oil plant of unfulilled promise. Biomass Bioenerg. 2000;19:1–15. 2. Achten WM, Trabucco A, Maes W, Verchot L, Aerts R, Mathijs E, et al. Global greenhouse gas implications of land conversion to biofuel crop cultivation in arid and semi-arid lands–Lessons learned from Jatropha. J Arid Environ. 2013;98:135–45. Madhaiyan et al. Biotechnol Biofuels (2015) 8:222 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. Francis G, Edinger R, Becker K (eds.). A concept for simultaneous wasteland reclamation, fuel production, and socio‐economic development in degraded areas in India: Need, potential and perspectives of Jatropha plantations. Natural Resources Forum. Wiley Online Library; 2005. Abou Kheira AA, Atta NM. Response of Jatropha curcas L. to water deicits: yield, water use eiciency and oilseed characteristics. Biomass Bioenerg. 2009;33:1343–50. Berchmans HJ, Hirata S. Biodiesel production from crude Jatropha curcas L. seed oil with a high content of free fatty acids. Bioresour Technol. 2008;99:1716–21. Reubens B, Achten WM, Maes W, Danjon F, Aerts R, Poesen J, et al. More than biofuel? Jatropha curcas root system symmetry and potential for soil erosion control. J Arid Environ. 2011;75:201–5. Mangkoedihardjo S, Ratnawati R, Alianti N. Phytoremediation of hexavalent chromium polluted soil using Pterocarpus indicus and Jatropha curcas L. World Appl Sci J. 2008;4:338–42. Kumar G, Yadav S, Thawale P, Singh S, Juwarkar A. Growth of Jatropha curcas on heavy metal contaminated soil amended with industrial wastes and Azotobacter—a greenhouse study. Bioresour Technol. 2008;99:2078–82. Becker K, Wulfmeyer V, Berger T, Gebel J, Münch W. Carbon farming in hot, dry coastal areas: an option for climate change mitigation. Earth System Dyn. 2013;4:237–51. Behera SK, Srivastava P, Tripathi R, Singh J, Singh N. Evaluation of plant performance of Jatropha curcas L. under diferent agro-practices for optimizing biomass—a case study. Biomass Bioenerg. 2010;34:30–41. Liu P, Wang CM, Li L, Sun F, Yue GH. Mapping QTLs for oil traits and eQTLs for oleosin genes in jatropha. BMC Plant Biol. 2011;11:132. Sun F, Liu P, Ye J, Lo LC, Cao S, Li L, et al. An approach for jatropha improvement using pleiotropic QTLs regulating plant growth and seed yield. Biotechnol Biofuels. 2012;5:1–10. Yong J, Ng Y, Tan S, Chew A. Efect of fertilizer application on photosynthesis and oil yield of Jatropha curcas L. Photosynthetica. 2010;48:208–18. Ghosh A, Chikara J, Chaudhary D, Prakash AR, Boricha G, Zala A. Paclobutrazol arrests vegetative growth and unveils unexpressed yield potential of Jatropha curcas. J Plant Growth Regul. 2010;29:307–15. Pan B-Z, Xu Z-F. Benzyladenine treatment signiicantly increases the seed yield of the biofuel plant Jatropha curcas. J Plant Growth Regul. 2011;30:166–74. Hunter PJ, Hand P, Pink D, Whipps JM, Bending GD. Both leaf properties and microbe-microbe interactions inluence within-species variation in bacterial population diversity and structure in the lettuce (Lactuca species) phyllosphere. Appl Environ Microbiol. 2010;76:8117–25. Hirano SS, Nordheim EV, Arny DC, Upper CD. Lognormal distribution of epiphytic bacterial populations on leaf surfaces. Appl Environ Microbiol. 1982;44:695–700. Knief C, Ramette A, Frances L, Alonso-Blanco C, Vorholt JA. Site and plant species are important determinants of the Methylobacterium community composition in the plant phyllosphere. ISME J. 2010;4:719–28. Ulrich A, Becker R. Soil parent material is a key determinant of the bacterial community structure in arable soils. FEMS Microbiol Ecol. 2006;56:430–43. Ryan RP, Germaine K, Franks A, Ryan DJ, Dowling DN. Bacterial endophytes: recent developments and applications. FEMS Microbiol Lett. 2008;278:1–9. van der Lelie D, Taghavi S, Monchy S, Schwender J, Miller L, Ferrieri R, et al. Poplar and its bacterial endophytes: coexistence and harmony. Crit Rev Plant Sci. 2009;28:346–58. Lodewyckx C, Vangronsveld J, Porteous F, Moore ER, Taghavi S, Mezgeay M, et al. Endophytic bacteria and their potential applications. Crit Rev Plant Sci. 2002;21:583–606. Sturz A, Christie B, Nowak J. Bacterial endophytes: potential role in developing sustainable systems of crop production. Criti Rev Plant Sci. 2000;19:1–30. Kim S, Lowman S, Hou G, Nowak J, Flinn B, Mei C. Growth promotion and colonization of switchgrass (Panicum virgatum) cv. Alamo by bacterial endophyte Burkholderia phytofirmans strain PsJN. Biotechnol Biofuels. 2012;5:37. Krechel A, Faupel A, Hallmann J, Ulrich A, Berg G. Potato-associated bacteria and their antagonistic potential towards plant-pathogenic fungi and the plant-parasitic nematode Meloidogyne incognita (Kofoid & White) Chitwood. Can J Microbiol. 2002;48:772–86. Page 13 of 14 26. Buyer JS, Wright JM, Leong J. Structure of pseudobactin A214, a siderophore from a bean-deleterious Pseudomonas. Biochemistry. 1986;25:5492–9. 27. O’sullivan DJ, O’Gara F. Traits of luorescent Pseudomonas spp involved in suppression of plant root pathogens. Microbiol Rev. 1992;56:662–76. 28. Van Loon L, Bakker P, Pieterse C. Systemic resistance induced by rhizosphere bacteria. Ann Rev Phytopathol. 1998;36:453–83. 29. Ryu CM, Murphy JF, Mysore KS, Kloepper JW. Plant growth-promoting rhizobacteria systemically protect Arabidopsis thaliana against Cucumber mosaic virus by a salicylic acid and NPR1-independent and jasmonic acid-dependent signaling pathway. Plant J. 2004;39:381–92. 30. Zhang S, Reddy MS, Kloepper JW. Tobacco growth enhancement and blue mold disease protection by rhizobacteria: relationship between plant growth promotion and systemic disease protection by PGPR strain 90-166. Plant Soil. 2004;262:277–88. 31. Lowman JS, Lava-Chavez A, Kim-Dura S, Flinn B, Nowak J, Mei C. Switchgrass ield performance on two soils as afected by bacterization of seedlings with Burkholderia phytofirmans strain PsJN. BioEnergy Res. 2015;8:440–9. 32. Madhaiyan M, Peng N, Te Si N, Hsin IC, Lin C, Lin F, et al. Improvement of plant growth and seed yield in Jatropha curcas by a novel nitrogen-ixing root associated Enterobacter species. Biotechnol Biofuels. 2013;6:140. 33. Barac T, Taghavi S, Borremans B, Provoost A, Oeyen L, Colpaert JV, et al. Engineered endophytic bacteria improve phytoremediation of watersoluble, volatile, organic pollutants. Nat Biotechnol. 2004;22:583–8. 34. Strobel G, Daisy B, Castillo U, Harper J. Natural products from endophytic microorganisms. J Nat Prod. 2004;67:257–68. 35. Hardoim PR, van Overbeek LS, van Elsas JD. Properties of bacterial endophytes and their proposed role in plant growth. Trends Microbiol. 2008;16:463–71. 36. Santi C, Bogusz D, Franche C. Biological nitrogen ixation in non-legume plants. Ann Bot. 2013;111:743–67. 37. Olivares FL, Baldani VL, Reis VM, Baldani JI, Döbereiner J. Occurrence of the endophytic diazotrophs Herbaspirillum spp. in roots, stems, and leaves, predominantly of Gramineae. Biol Fertil Soils. 1996;21:197–200. 38. Ueda T, Suga Y, Yahiro N, Matsuguchi T. Remarkable N2-ixing bacterial diversity detected in rice roots by molecular evolutionary analysis of nifH gene sequences. J Bacteriol. 1995;177:1414–7. 39. Doty SL, Oakley B, Xin G, Kang JW, Singleton G, Khan Z, et al. Diazotrophic endophytes of native black cottonwood and willow. Symbiosis. 2009;47:23–33. 40. Videira SS, De Araujo JLS, da Silva Rodrigues L, Baldani VLD, Baldani JI. Occurrence and diversity of nitrogen-ixing Sphingomonas bacteria associated with rice plants grown in Brazil. FEMS Microbiol Lett. 2009;293:11–9. 41. Mirza BS, Rodrigues JL. Development of a direct isolation procedure for free-living diazotrophs under controlled hypoxic conditions. Appl Environ Microbiol. 2012;78:5542–9. 42. Kuklinsky-Sobral J, Araújo WL, Mendes R, Geraldi IO, Pizzirani-Kleiner AA, Azevedo JL. Isolation and characterization of soybean-associated bacteria and their potential for plant growth promotion. Environ Microbiol. 2004;6:1244–51. 43. Burbano CS, Liu Y, Rösner KL, Reis VM, Caballero-Mellado J, ReinholdHurek B, et al. Predominant nifH transcript phylotypes related to Rhizobium rosettiformans in ield-grown sugarcane plants and in Norway spruce. Environ Microbiol Rep. 2011;3:383–9. 44. Sessitsch A, Reiter B, Pfeifer U, Wilhelm E. Cultivation-independent population analysis of bacterial endophytes in three potato varieties based on eubacterial and Actinomycetes-speciic PCR of 16S rRNA genes. FEMS Microbiol Ecol. 2002;39:23–32. 45. Xia Y, Greissworth E, Mucci C, Williams MA, DeBolt S. Characterization of culturable bacterial endophytes of switchgrass (Panicum virgatum L.) and their capacity to inluence plant growth. GCB Bioenergy. 2013;5:674–82. 46. Madhaiyan M, Chan KL, Ji L. Draft genome sequence of Methylobacterium sp. strain L2-4, a leaf-associated endophytic N-ixing bacterium isolated from Jatropha curcas L. Genome Announc. 2014;2:e01306–14. 47. Atamna-Ismaeel N, Finkel O, Glaser F, von Mering C, Vorholt JA, Koblížek M, et al. Bacterial anoxygenic photosynthesis on plant leaf surfaces. Env Microbiol Rep. 2012;4:209–16. 48. Jourand P, Giraud E, Béna G, Sy A, Willems A, Gillis M, et al. Methylobacterium nodulans sp. nov., for a group of aerobic, facultatively methylotrophic, legume root-nodule-forming and nitrogen-ixing bacteria. Int J Syst Evol Microbiol. 2004;54:2269–73. Madhaiyan et al. Biotechnol Biofuels (2015) 8:222 49. Lacava P, Araújo W, Marcon J, Maccheroni W, Azevedo J. Interaction between endophytic bacteria from citrus plants and the phytopathogenic bacteria Xylella fastidiosa, causal agent of citrus-variegated chlorosis. Lett Appl Microbiol. 2004;39:55–9. 50. Menna P, Hungria M, Barcellos FG, Bangel EV, Hess PN, Martínez-Romero E. Molecular phylogeny based on the 16S rRNA gene of elite rhizobial strains used in Brazilian commercial inoculants. Syst Appl Microbiol. 2006;29:315–32. 51. Sy A, Giraud E, Jourand P, Garcia N, Willems A, de Lajudie P, et al. Methylotrophic Methylobacterium bacteria nodulate and ix nitrogen in symbiosis with legumes. J Bacteriol. 2001;183:214–20. 52. Koenig RL, Morris RO, Polacco JC. tRNA is the source of low-level transzeatin production in Methylobacterium spp. J Bacteriol. 2002;184:1832–42. 53. Madhaiyan M, Poonguzhali S, Ryu J, Sa T. Regulation of ethylene levels in canola (Brassica campestris) by 1-aminocyclopropane-1-carboxylate deaminase-containing Methylobacterium fujisawaense. Planta. 2006;224:268–78. 54. Andreote FD, Lacava PT, Gai CS, Araújo WL, Maccheroni J, Walter, vanOverbeek LS, et al. Model plants for studying the interaction between Methylobacterium mesophilicum and Xylella fastidiosa. Can J Microbiol. 2006;52:419–26. 55. Araújo WL, Marcon J, Maccheroni W, van Elsas JD, van Vuurde JW, Azevedo JL. Diversity of endophytic bacterial populations and their interaction with Xylella fastidiosa in citrus plants. Appl Environ Microbiol. 2002;68:4906–14. 56. Dourado MN, Ferreira A, Araújo WL, Azevedo JL, Lacava PT. The diversity of endophytic methylotrophic bacteria in an oil-contaminated and an oil-free mangrove ecosystem and their tolerance to heavy metals. Biotechnol Res Int. 2012;. doi:10.1155/2012/759865 (in press). 57. Pohjanen J, Koskimäki JJ, Sutela S, Ardanov P, Suorsa M, Niemi K, et al. Interaction with ectomycorrhizal fungi and endophytic Methylobacterium afects nutrient uptake and growth of pine seedlings in vitro. Tree Physiol. 2014;34:993–1005. 58. Andreote FD, Carneiro RT, Salles JF, Marcon J, Labate CA, Azevedo JL, et al. Culture-independent assessment of Rhizobiales-related Alphaproteobacteria and the diversity of Methylobacterium in the rhizosphere and rhizoplane of transgenic eucalyptus. Microb Ecol. 2009;57:82–93. 59. Abanda-Nkpwatt D, Müsch M, Tschiersch J, Boettner M, Schwab W. Molecular interaction between Methylobacterium extorquens and seedlings: growth promotion, methanol consumption, and localization of the methanol emission site. J Exp Bot. 2006;57:4025–32. 60. Dourado MN, Aparecida Camargo Neves A, Santos DS, Araújo WL. Biotechnological and agronomic potential of endophytic pink-pigmented methylotrophic Methylobacterium spp. BioMed Res Int. 2015;. doi:10.1155/2012/759865. 61. Koskimäki JJ, Pirttilä AM, Ihantola E-L, Halonen O, Frank AC. The intracellular scots pine shoot symbiont Methylobacterium extorquens DSM13060 aggregates around the host nucleus and encodes eukaryote-like proteins. MBio. 2015;6:e00039-15. 62. Poonguzhali S, Madhaiyan M, Yim W-J, Kim K-A, Sa T-M. Colonization pattern of plant root and leaf surfaces visualized by use of green-luorescent-marked strain of Methylobacterium suomiense and its persistence in rhizosphere. Appl Microbiol Biotechnol. 2008;78:1033–43. 63. Sy A, Timmers AC, Knief C, Vorholt JA. Methylotrophic metabolism is advantageous for Methylobacterium extorquens during colonization of Medicago truncatula under competitive conditions. Appl Environ Microbiol. 2005;71:7245–52. 64. Holland M. Methylobacterium and plants. Rec Res Dev Plant Physiol. 1997;1:207–13. 65. Madhaiyan M, Poonguzhali S, Senthilkumar M, Seshadri S, Chung H, Jinchul Y et al. Growth promotion and induction of systemic resistance in rice cultivar Co-47 (Oryza sativa L.) by Methylobacterium spp. Bot Bull Acad Sin. 2004;45:315–24. 66. Madhaiyan M, Poonguzhali S, Lee H, Hari K, Sundaram S, Sa T. Pinkpigmented facultative methylotrophic bacteria accelerate germination, growth and yield of sugarcane clone Co86032 (Saccharum officinarum L.). Biol Fertil Soils. 2005;41(5):350–8. 67. Hollond MA, Long RLG, Polacco JC. Methylobacterium spp.: phylloplane bacteria involved in cross-talk with the plant host? In: Lindow SE, HechtPoinar EI, Elliot VJ, editors. Phyllosphere Microbiology. St. Paul, Minn: American Phytopathological Society; 2002. p. 125–35. Page 14 of 14 68. Madhaiyan M, Poonguzhali S, Sa T. Characterization of 1-aminocyclopropane-1-carboxylate (ACC) deaminase containing Methylobacterium oryzae and interactions with auxins and ACC regulation of ethylene in canola (Brassica campestris). Planta. 2007;226:867–76. 69. Chistoserdova L, Chen S-W, Lapidus A, Lidstrom ME. Methylotrophy in Methylobacterium extorquens AM1 from a genomic point of view. J Bacteriol. 2003;185(10):2980–7. 70. Kwak M-J, Jeong H, Madhaiyan M, Lee Y, Sa T-M, Oh TK, et al. Genome information of Methylobacterium oryzae, a plant-probiotic methylotroph in the phyllosphere. PLoS One. 2014;9(9):e106704. 71. Yi C, Reddy C, Varghese K, Bui TNH, Zhang S, Kallath M, et al. A new Jatropha curcas variety (JO S2) with improved seed productivity. Sustainability. 2014;6:4355–68. 72. Reasoner D, Geldreich E. A new medium for the enumeration and subculture of bacteria from potable water. Appl Environ Microbiol. 1985;49:1–7. 73. King EO, Ward MK, Raney DE. Two simple media for the demonstration of pyocyanin and luorescin. J Lab Clin Med. 1954;44:301. 74. Whittenbury R, Phillips K, Wilkinson J. Enrichment, isolation and some properties of methane-utilizing bacteria. J Gen Microbiol. 1970;61:205–18. 75. Baldani VLD, Döbereiner J. Host-plant speciicity in the infection of cereals with Azospirillum spp. Soil Biol Biochem. 1980;12:433–9. 76. Estrada-De Los Santos P, Bustillos-Cristales R, Caballero-Mellado J. Burkholderia, a genus rich in plant-associated nitrogen ixers with wide environmental and geographic distribution. Appl Environ Microbiol. 2001;67:2790–8. 77. Burdman S, Jurkevitch E, Schwartsburd B, Hampel M, Okon Y. Aggregation in Azospirillum brasilense: efects of chemical and physical factors and involvement of extracellular components. Microbiol. 1998;144:1989–99. 78. Hurley MA, Roscoe M. Automated statistical analysis of microbial enumeration by dilution series. J Appl Bacteriol. 1983;55:159–64. 79. Wilson K. Preparation of genomic DNA from bacteria. Curr Protoc Mol Biol. 1987:2.4.1–2.4.5. 80. DeLong EF. Archaea in coastal marine environments. Proc Natl Acad Sci USA. 1992;89:5685–9. 81. Kim OS, Cho YJ, Lee K, Yoon SH, Kim M, Na H, et al. Introducing EzTaxon-e: a prokaryotic 16S rRNA gene sequence database with phylotypes that represent uncultured species. Int J Syst Evol Microbiol. 2012;62:716–21. 82. Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4:406–25. 83. Felsenstein J. Conidence limits on phylogenies: an approach using the bootstrap. Evolution. 1985:783–91. 84. Fitch WM. Toward deining the course of evolution: minimum change for a speciic tree topology. Syst Biol. 1971;20:406–16. 85. Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol. 2011;28:2731–9. 86. Reinhold-Hurek B, Hurek T, Claeyssens M, Van Montagu M. Cloning, expression in Escherichia coli, and characterization of cellulolytic enzymes of Azoarcus sp., a root-invading diazotroph. J Bacteriol. 1993;175:7056–65. 87. Kim B, Wimpenny J. Growth and cellulolytic activity of Cellulomonas flavigena. Can J Microbiol. 1981;27:1260–6. 88. Widmer F, Shafer B, Porteous L, Seidler R. Analysis of nifH gene pool complexity in soil and litter at a Douglas ir forest site in the Oregon Cascade Mountain Range. Appl Environ Microbiol. 1999;65:374–80. 89. Iniguez AL, Dong Y, Triplett EW. Nitrogen ixation in wheat provided by Klebsiella pneumoniae 342. Mol Plant Microbe Int. 2004;17(10):1078–85.