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Journal of Genetic Engineering and Biotechnology
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Brevibacillus DesertYSK and Rhizobium MAP7 stimulate the growth and pigmentation of Lactuca sativa L.

Journal of Genetic Engineering and Biotechnology volume 21, Article number: 17 (2023) Cite this article

Abstract

Background

Applying microbial biostimulants during crop cultivation allows for higher sustainability levels. It reduces the need for fertilizers and environmental contaminants while enhancing plant quality. This study assessed 13 endophytic bacteria, 4 newly isolated, and 9 donated, for plant growth-promoting capabilities. Quantitative assessments of indole acetic acid (IAA), gibberellic acid (GA3), siderophores, ammonia, exopolysaccharides, volatile HCN, and phosphate solubilization, along with Bray–Curtis cluster analyses were performed.

Results

Upon the results  we selected RhizobiumMAP7, Brevibacillus DesertYSK, Pseudomonas MAP8, BacillusMAP3, Brevibacillus MAP, and Bacillus DeltaYSK to evaluate their effects on Lactuca sativa growth and pigmentation in a 30-day greenhouse pot experiment. Both Brevibacillus DesertYSK and Rhizobium MAP7surpassed other strains in growth promotional effects. They doubled shoot length (12 and 12.3 cm, respectively, when compared with 7 cm for control after 30 days), and fresh weight (0.079 and 0.084 g, respectively, when compared with 0.045 g for control after 30 days), and increased root length by at least 3-fold when compared with control (4.5 and 3.5 cm, respectively, when compared with 1.2 cm for control after 30 days). Chlorophyll content also exhibited at least a 2-fold significant increase in response to bacterization compared with control.

Conclusions

This strain superiority was consistent with the in vitro assays data that showed strains capability as IAA and GA3producers. Also, strains were highly capable ammonia and siderophore producers and phosphate solubilizers, providing considerable hormone and nutrient levels for L. sativa plantsleading to improved growth parameters and appearance. These data support the notion that nodule-based bacteria are potential plant growth-promoting bacteria (PGPB) that may be used on a wider scale rather than just for legumes.

Background

Approximately seven billion people live on the planet and expected to reach eight billion in the coming years [1]. Increasing populations lead to a constant need to expand cultivated lands, which is inconsistent with humans’ orientation toward the industrial revolution. Also, the erosion of cultivated lands due to different factors makes this a serious issue. As a result, the usage of chemicals to increase the yield productivity was the only available solution to cover this progressive food gap, although it was not the ideal one [2]. Nevertheless, prices, availability, and environmental issues stemming from chemical fertilizers, especially nitrogen fertilizers, are the real issues facing agriculture today [3]. In the last decade, interest in plant biostimulants has rapidly escalated due to the need for eco-friendly solutions to ensure maximum crop productivity [4]. Biostimulants are neither nutrients nor pesticides, but they have a positive impact on plant growth. Seaweed extracts, protein hydrolysates, amino acids, humic acid, and microorganisms in addition are among biostimulants [5]. The intended microorganisms are characterized by being beneficial to plants, e.g., plant growth-promoting bacteria which are employed as biofertilizers, biocontrol agents, and pollutant bioremediators [6, 7]. Plant growth-promoting bacteria facilitate and enhance plant growth processes via direct and indirect mechanisms [8]. Direct stimulation involves nitrogen fixation, production of phytohormones such as auxins, cytokinins, and gibberellins, solubilization of nutrients such as phosphate, and siderophore production [9]. In contrast, indirect stimulation is mainly linked to the ability of PGPB to control phytopathogen growth and ACC (1-aminocyclo-propane-1-carboxylate)-deaminase activity that delays senescence by lowering ethylene levels [10]. Challenging abiotic stresses generated by salinity, drought, and heavy metals could be alleviated by PGPB [6, 7]. In short, PGPB helps plant cope with biotic and abiotic stresses and sustainably decrease agrochemical rates, leading to reduced greenhouse gas emissions [11, 12].

In principle, bacteria inhabit the plant rhizosphere (root surface), phyllosphere (aerial plant parts), and endosphere (internal tissues). However, studies have focused on PGPB, which competently colonize the rhizosphere [12]. The rhizosphere is a highly diverse region with different types of microbes due to root secretions, which may represent 21% of photosynthetic products, and this association is regarded as the second plant genome. In return, beneficial microbes stimulate plant growth and defense, granting it the ability to overcome different types of stress [13, 14]. The identification of rhizosphere microbiome has primarily relied on cultivation method. Using recent analytical and omic techniques, bacterial populations in the rhizosphere could be precisely described [15]. Rhizospheric or endophytic PGPB benefits the host plant with the same mechanisms referred to previously. However, the greater interaction of endophytes gives them the ability to positively affect the host’s health, growth, and response to environmental conditions [16]. In general, plant genetics and environmental conditions control bacterial endophytic colonization in plant tissues [17]. It is necessary to look for region-specific microbial strains that can be used as an inoculum to promote/enhance growth to achieve desired crop yields [9]. Nevertheless, despite recent studies documenting the benefits of PGPB as inoculants for commercial crops, their use in nonleguminous crops remains underexplored [18].

We screened endophytic bacteria isolated from different plants and tissues to identify potential biostimulants. We then studied their effects on lettuce physical growth parameters and pigmentation. Lettuce is an important leafy crop produced commercially on a large scale and widely used for its nutritional value in salads and diets [19, 20]. For this significant value, the improvement of lettuce production without excessive chemical use made PGPB a suitable candidate in this study. This aim was attained through the following steps: (1) collection and isolation of the tested bacteria, (2) in vitro quantitative assessment of plant growth-promoting criteria, and (3) applying the most promising isolates to L. sativa and monitor their effects on growth and pigment levels in a 30-day greenhouse study.

Methods

Indole acetic acid (IAA), gibberellic acid (GA3), chrome azurol S (CAS), and hexadecyltrimethylammonium bromide (HDTMA) were obtained from Sigma-Aldrich. All other chemicals were of analytical grade.

Isolation and identification of endophytic bacteria

During March 2018, Lotus glaber and Lotus creticus plants were collected from Mansoura University gardens (latitude 31.04120° and longitude 31.35348°) and Egypt’s north coast (latitude 31.03012° and longitude 31.36270°), respectively. Plants were gently uprooted, washed in distilled water, and the large nodules with healthy appearance were carefully detached and subjected to surface sterilization in 0.2 M HgCl2 in 50% ethanol for 4 min. Nodules were then washed in sterilized distilled water [21].

Under aseptic conditions, nodules were cut and contents were suspended in 5 ml sterilized distilled water. Then, 200 µl was inoculated in yeast extract mannitol solid medium (YEM) (yeast extract 1 g, mannitol 10 g, NaCl 0.1 g, K2PO4 0.5 g, MgSO4 0.2 g, CaCO3 1 g, and agar 15 g per 1000 ml distilled water), the inoculated plates were incubated at 28 °C for 48–72 h. Colonies with different morphology were purified by repeated streaking. The obtained isolates were stored in 50% glycerol until required. The GeneJET Genomic DNA purification Kit (Sigma, Waltham, MA, USA) was used to extract genomic DNA from isolates. The universal primers, 27f (5′-AGAGTTTGATCCTGGCTCAG-3′) and p1492r (5′-TACGGCTACCTTGTTACGACT-3′),designed to amplify a part of 16 s rRNA gene, along with the template genomic DNA were added to a 20-µl polymerase chain reaction mixture. Thermal cycling was conducted with an initial denaturation step at 95 °C for 10 min, followed by 35 cycles of 95 °C for 30 s, 65 °C for 30 s, 72 °C for 1 min, and a final extension step at 72 °C for 10 min. The sequence of the purified PCR product was obtained by DyeEx™ 2.0 Spin Kit (Qiagen PN 63,204). These sequences were analyzed by Finch TV (version 1.4.0) software and the phylogenetic trees were generated via Sea view software using representative sequences of type strain homologues organisms those were retrieved and aligned using Ribosomal Database Project (RDB). The obtained sequences were submitted to the GenBank on NCBI.

Other isolates used in this study Bacillus MAP3, Brevibacillus MAP4, Rhizobium MAP7, Pseudomonas MAP8, Bacillus B2L2, Enterobacter E1S2, Klebsiella MK2R2, and Rhizobium leguminosarum RTR1001 were generously donated from Mona Agha and Marwa Magdy, Botany Department, Faculty of Science, Mansoura University [22, 23]. All the isolates were routinely cultured on LB broth media and incubated at 28 ºϹ for 48 h [24]. All the isolates used in this study and their sources are indicated in Table 2.

In vitro screening of plant growth promoting criteria

Production of indole acetic acid (IAA)

Indole acetic acid production by bacterial isolates was assayed using Salkowski reagent [25]. Isolates were inoculated into 125 ml yeast extract mannitol (YEM) broth supplemented with 0.1% tryptophan and incubated for 5 days at 28 °C and 150 rpm. After cultures were centrifuged at 10,000 rpm for 10 min, 1 ml supernatant was mixed with 1 ml Salkowski reagent (2 ml 0.5 M FeCl3, 49 ml water, and 49 ml 70% perchloric acid) and incubated for 20 min at room temperature. Pink color intensity was measured at 530 nm on a Jenway 7315 UV–VIS spectrophotometer. Authentic IAA was used to construct a standard curve (5–100 µg/ml) to calculate IAA concentrations in samples.

Production of Gibberellic acid (GA3)

For GA3 production, 50 ml Luria Bertani (LB) broth media (peptone 1 g, NaCl 1 g, yeast extract 0.5 g, per 100 ml distilled water) was inoculated with isolates and incubated for 2 days at 28 °C and 150 rpm. After cultures were centrifuged at 10,000 rpm for 10 min, 15 ml supernatant was mixed with 2 ml zinc acetate reagent (21.9 g zinc acetate and 1 ml glacial acetic acid in 100 ml distilled water), and the tubes were centrifuged at 2000 rpm for 15 min. Then, 5 ml supernatant was mixed with 5 ml 30% HCl and incubated at 25 °C for 75 min. The optical density at 254 nm was measured, and a GA3 stock solution was used to calculate GA3 levels in samples [26].

Production of HCN

King’s B solid media (peptone 20 g, MgSO4.7H2O 1.5 g, K3PO4.3H2O 1.8 g, agar 15 g per 1000 ml distilled water) supplemented with 0.44% glycine was used to assess volatile HCN production. Sterilized filter papers saturated with picric acid solution (2.5 g picric acid and 12.5 g Na2CO3 in 1000 ml distilled water) were placed on the upper lid of a streaked petri dish, then tightly sealed with para-film, and incubated at 28 °C for 2 days. A color change from yellow to brown indicated a positive result. The filter papers were then cut into small pieces and soaked in 2 ml distilled water to extract HCN, and color intensity was measured at 510 nm. HCN concentrations were calculated in parts per million (ppm) using the following equation [27].

Total cyanide content (ppm) = 396 × A510 nm.

Production of ammonia

Ammonia production was assessed in water peptone broth media (peptone 10 g, NaCl 5 g per 1000 ml distilled water). After incubation for 4 days at 30 °C and 150 rpm, 1 ml Nessler’s reagent (50 g potassium iodide, 35 ml saturated mercuric chloride, 25 ml distilled water, and 400 ml 40% potassium hydroxide) was mixed with 1 ml of the obtained culture supernatant. A yellow to brown color formation indicated a positive result, and color intensity was measured at 450 nm. Ammonium sulfate was used to construct a standard curve to calculate ammonia levels in samples [28].

Production of exopolysaccharides (EPS)

Exopolysaccharides production broth media (sucrose 50 g, peptone 0.6 g, yeast extract 0.4 g, K2HPO4: 5.0 g, MgSO4.7H2O 0.4 g, NaCl 1.0 g per 1000 ml distilled water) was inoculated with isolates and incubated for 7 days at 28 °C and 150 rpm. After cultures were centrifuged at 6000 rpm for 15 min, a triple volume of cold acetone was added to supernatants to precipitate EPS and left overnight at 4 °C. After centrifugation at 6000 rpm for 10 min, EPS precipitates were dissolved in distilled water, then 0.5 ml was mixed with 0.5 ml 6% phenol reagent, and 2.5 ml concentrated sulfuric acid was immediately added. Color development was measured at 481 nm. A glucose standard curve was used to calculate EPS concentrations [29].

Nitrogen fixation assay

Jensen nitrogen-free solid media (sucrose 20 g, FeSO4 0.1 g, K2PO4 1 g, MgSO4 0.5 g, NaCl 0.5 g, CaCO3 2 g, Na2MoO4 0.005 g, agar 15 g per 1000 ml distilled water) was used to assess nitrogen fixation ability of isolates. Growth is regarded as a positive sign [30]. Plates were incubated for 2 days at 28 °C.

Production of siderophores

Chrome azurol S. broth media (15 ml) was inoculated with isolates to assess siderophore production. Cultures were incubated for 2 days at 28 °C and 150 rpm. After culture centrifugation at 6000 rpm for 10 min, 0.5 ml supernatant was mixed with 0.5 ml CAS reagent, and the developed color was measured at 630 nm. Siderophore units were calculated according to the following formula [31]:

$$\mathrm{Siderophores units }(\mathrm{\%})= \frac{Ar-As}{Ar}x 100$$

where Ar = Absorbance of reference at 630 nm (CAS reagent only) and As = Absorbance of the sample at 630 nm.

Phosphate solubilization assay

The ability of isolates to solubilize phosphate was assayed by culturing in Reyes basal broth supplemented with 30 mM ferric phosphate as the insoluble phosphate source. Cultures were incubated at 28 °C for 5 days at 150 rpm. After this, 1 ml of freshly prepared reagent (125 ml sulfuric acid (5 M), 37.5 ml ammonium molybdate (0.2 M), 75 ml ascorbic acid (0.1 M), and 12.5 ml potassium antimony tartrate solution (0.274 g/100 ml)) were mixed with 5 ml supernatant. A purple to blue color formation indicated a positive result, and color was measured at 882 nm [32]. Potassium dihydrogen phosphate was used as a standard phosphate source.

Seed biopriming assay

Two methods are used to estimate 1-aminocyclo-propane-1-carboxylate-deaminase (ACC-deaminase) activity; directly by quantitatively estimating enzyme activity or indirectly using a germinating seed bioassay (used here). The bioassay was conducted on six potential bacterial isolates based on the data from in vitro assays and concluded by Bray–Curtis cluster analysis. Vigna unguiculata (Giza 716) and Hordeum vulgare (Giza 137) seeds were surface sterilized with 20% NaOHCl for 3 min and washed in deionized water. Then, seeds were germinated on 1% water agar medium for 48 h. The germinated seeds were further soaked in 20 ml isolate cultures for 1 h and then placed in Petri dishes containing wet filter paper and incubated in dark at 30 °C. Seedling growth parameters were calculated after 3 days. Vigor indices I and II were calculated according to the following equations [33].

$$\mathrm{Vigor}\;\mathrm{index}\;\mathrm I\;=\;\mathrm{Germination}\%\;\times\;\mathrm{Seedling}\;\mathrm{length}\;(\mathrm{cm})$$
$$\mathrm{Vigor}\;\mathrm{index}\;\mathrm{II}\;=\;\mathrm{Germination}\%\;\times\;\mathrm{Seedling}\;\mathrm{weight}\;(\mathrm g/\mathrm{plant})$$

High performance liquid chromatography (HPLC) analysis of IAA and GA3 production by selected isolates

Culture supernatants of the six isolates cultivated in YEM broth supplemented with 0.1% tryptophan and LB broth were used for IAA and GA3 estimation respectively by HPLC. After shifting the pH to 2.8 using HCl, equal volumes of ethyl acetate were added three times to extract hormones [34]. After evaporation of ethyl acetate fraction at room temperature, residues were dissolved in 500 µl pure methanol and analyzed by HPLC (Chemito 6600 Isocratic) using an ultraviolet (UV) detector and a 5-µm reverse-phase Supelcosil C18 column (39 × 300 mm). UV detector wavelengths were 280 nm and 208 nm for IAA and GA3, respectively. Hormones were quantified using corresponding peak areas of authentic IAA and GA3 standards.

Greenhouse pot experiment on Lactuca sativa L. seeds

After identifying the most promising six isolates from the aforementioned assays, a pot study was designed to test the effects of isolates on a set of morphological and physiological parameters in lettuce plants. A pure seed strain was obtained from the Faculty of Agriculture, Mansoura, Egypt and a homogeneous lot of them were selected. Triplicate pots (30 seeds/pot) each containing 250 g sterilized peat moss soil were prepared for each treatment. Before cultivation, the soil was sterilized in customized sterilization plastic bags at 121 °C and 1.5 atm for 20 min. Control pots were supplied with the same soil without bacterial inoculation. Peat moss soil characteristics are shown (Table 1).

Table 1 Chemical properties of the used peat moss soil in the pot experiment of Lactuca sativa, L
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Lactuca sativa L. seeds were surface sterilized using 0.01% HgCl2 solution for 3 min. The bacterial solution used for irrigation was prepared as follows. Isolates (107 colony forming units ml−1) were inoculated into LB broth and incubated for 24–48 h (the incubation period depends on the strain) at 28 °C to get A600 = 0.5. After centrifugation at 6000 rpm for 10 min, the cell mass was washed in distilled water and collected again by centrifugation. The pellet was finally resuspended in irrigation tap water (A600 = 0.5) and 100 ml was applied for each pot. Irrigation process with bacterial solutions was reapplied one week after the first irrigation. Control plants were irrigated throughout the study with equal volumes of tap water only. The study was conducted in the greenhouse of the Faculty of Science, Mansoura University, in normal field conditions of humidity, temperature, light, and day/night patterns. Samples (10 samples/treatment at each time point) were collected on the 9th, 15th, 20th, and 30th day after study commencement and were used to assess growth parameters (shoot length, root length, fresh and dry weight for shoots and roots, and the number of leaves) and pigment levels (chlorophyll a, chlorophyll b, and carotenoids).

The dimethyl sulfoxide (DMSO) method was used to extract pigments; 1 ml DMSO was added to 0.1 g plant leaves at 65 °C for 20 min [35]. Plant photosynthetic pigments (chlorophyll a, chlorophyll b, and carotenoids) were determined at all stages of plant growth using spectrophotometric methods described for chlorophylls [36], carotenoids [37], and total chlorophylls [38]. Pigment fraction concentrations were calculated as μg/ml using the following equations.

$$\mathrm{Chlorophyll}\;\mathrm{a}\;=\;10.3\;{\mathrm{E}_{663}}-0.918\;{\mathrm{E}_{644}}\;=\;\upmu\mathrm{g}/\mathrm{ml}$$
$$\mathrm{Chlorophyll}\;\mathrm{b}\;=\;19.7\;{\mathrm{E}_{644}}-3.87\;{\mathrm{E}_{663}}\;=\;\upmu\mathrm{g}/\mathrm{ml}{E}$$
$$\mathrm{Carotenoids}\;=\;5.02\;{\mathrm{E}_{480}}\;=\;\upmu\mathrm{g}/\mathrm{ml}$$
$$\mathrm{Total}\;\mathrm{chlorophylls}\;=\;7.04\;{\mathrm{E}_{645}}\;+\;20.27\;{\mathrm{E}_{663}}\;=\;\upmu\mathrm{g}/\mathrm{ml}$$

Data analysis

A Bray–Curtis cluster analysis was performed to group isolates based on their efficiency to choose the most promising isolates for the lettuce study. Analyses were performed using Biodiversity Pro 2 software 2016.

For biological replicates (seed growth parameters and L. sativa plants), measures were taken from 10 replications in a completely randomized design. For technical replicates (plant growth-promoting criteria and pigment content), three samples were measured. Data were subjected to one-way analysis of variance (ANOVA). This was followed by Duncan’s test with a probability level P ≤ 0.05 using the COSTAT software program.

Results

Molecular identification of endophytic PGPB

Four bacterial isolates, DeltaYSK, DesertYSK, DeltaPSK, and DesertPSK were obtained from the root nodules of L. glaber and L. creticus plants (Table 2) and were identified using 16S rRNA gene sequence analysis. DeltaYSK showed a high level of sequence identity (99.2%) with Bacillus flexus and was named Bacillus DeltaYSK (Accession number; MT012831). DesertYSK showed a high sequence similarity (99.28%) with Brevibacillus parabrevis and was named Brevibacillus DesertYSK (Accession number; MT012893). The isolates, DeltaPSK and DesertPSK showed high levels of sequence identity (99.7% and 99.85%, respectively) with Enterobacter cloacae LMG 2683 and Enterobacter cloacae ATCC 23,373, respectively, so they were given the names Enterobacter DeltaPSK (Accession number; MT012829) and Enterobacter DesertPSK (Accession number; MT012825), respectively. Table 2 shows all the strains used in this study.

Table 2 The 13 isolates used in this study and their accession number in Genbank and isolation sources
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In vitro screening of plant growth-promoting traits

Production of IAA and GA s

Our data indicated that all the thirteen isolates produced IAA, but they differed significantly in their ability to produce this phytohormone (Table 3). The highest IAA (130.34 µg/ml) levels were generated by Bacillus DeltaYSK, followed by Brevibacillus DesertYSK (126.97 µg/ml). GA3 produced by Brevibacillus DesertYSK was significantly higher than all other isolates (385 µg/ml), followed by the Rhizobium MAP7 isolate (207 µg/ml).

Table 3 Quantitative assays of isolates plant growth promoting traits including indole acetic acid (IAA), gibberellic acid (GAs), exopolysaccharides (EPS), hydrogen cyanide (HCN), ammonia, and siderophores production in addition to phosphate solubilization and qualitative assessment of nitrogen fixation ability
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Production of EPS, HCN, and ammonia

Three out of all isolates did not produce EPS. The maximum EPS levels were recorded for Pseudomonas MAP5, Rhizobium MAP7, and Bacillus DeltaYSK (606.8, 601.2, and 602.5 mg/l respectively). As for volatile HCN production, 6 out of 13 isolates generated positive results: Brevibacillus MAP4, Bacillus MAP3, Rhizobium MAP7 (87.52, the highest amount), Pseudomonas MAP8, Bacillus DeltaYSK, and Brevibacillus DesertYSK. All isolates produced ammonia; the highest value (59.7 mg/ml) was assayed for Brevibacillus DesertYSK.

Production of soluble phosphate and siderophores, and nitrogen fixation abilities

Eight isolates solubilized phosphate, but with different levels. Rhizobium MAP7, Brevibacillus DesertYSK, and Bacillus DeltaYSK exhibited the highest phosphate solubilization abilities (66.2 mg/l, 57.6 mg/l, and 55 mg/l, respectively). Only one isolate did not produce siderophores. Quantitatively, Rhizobium MAP7 produced the highest siderophore levels (71.6%), followed by Brevibacillus MAP4 (50.61%). Nitrogen fixation abilities were qualitatively assessed by growth on nitrogen-free medium; eight isolates possessed this ability (Table 3).

As illustrated in Fig. 1, Bray–Curtis cluster analysis bring six isolates together for their potential plant growth promoting criteria: Rhizobium MAP7, Brevibacillus DesertYSK, Brevibacillus MAP4, Pseudomonas MAP8, Bacillus DeltaYSK, and Bacillus MAP3.

Fig. 1
figure 1

Bray–Curtis cluster analysis based on the assessed plant growth promoting criteria to choose the most promising isolates. Six isolates were clustered together according to their plant growth promoting criteria: Rhizobium MAP7, Brevibacillus DesertYSK, Pseudomonas MAP8, Bacillus MAP3, Brevibacillus MAP4 and Bacillus DeltaYSK. This analysis was performed by Biodiversity Pro 2 software 2016

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These six strains were subjected to HPLC analysis to verify IAA and GA3 production levels; hormones were indeed produced, as previously corroborated by spectrophotometric analysis. However, while levels were not congruent, the highest producing strains were the same in both methods (Table 4). Brevibacillus DesertYSK generated the highest IAA and GA3 production levels in both assays. These analyses confirmed that selected strains produced phytohormones. Similarly, these methodologies showed that the spectrophotometric method for IAA and GA3 qualitative assessment was adequate, but quantitative HPLC measurements were more reliable.

Table 4 The amounts of indole acetic acid (IAA) and gibberellic acid (GA3) produced by Rhizobium MAP7, Brevibacillus DesertYSK, Pseudomonas MAP8, Bacillus MAP3, Brevibacillus MAP4 and Bacillus DeltaYSK based on HPLC analysis
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These six isolates were used for germinating seed bioassays. They positively affected seed germination, particularly root length (at least threefold of control plants), indicating effective ACC-deaminase activity. As for Vigna unguiculata seedlings, Rhizobium MAP7 was the most effective isolate affecting root elongation, attaining a fivefold length increase compared to controls (Table 5). The highest root elongation in Hordeum vulgare seedlings was recorded for Bacillus DeltaYSK, which generated a sixfold increase in root length compared with controls (Table 6). These results suggested that Rhizobium MAP7 and Bacillus DeltaYSK generated the highest vigor indices for Vigna unguiculata and Hordeum vulgare, respectively.

Table 5 Germination parameters of Vigna unguiculata seedlings in response to biopriming by Rhizobium MAP7, Brevibacillus DesertYSK, Pseudomonas MAP8, Bacillus MAP3, Brevibacillus MAP4, and Bacillus DeltaYSK
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Table 6 Germination parameters of Hordeum vulgare seedlings in response to biopriming by Rhizobium MAP7, Brevibacillus DesertYSK, Pseudomonas MAP8, Bacillus MAP3, Brevibacillus MAP4, and Bacillus DeltaYSK
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The effects of selected isolates on L. sativa growth

Representative shoot lengths of the lettuce plant at germination and vegetative stages, indicated that seeds treated with Rhizobium MAP7, Brevibacillus DesertYSK, Brevibacillus MAP4, and Pseudomonas MAP8 showed significant length increases when compared with controls (Fig. 2A). The highest significant value was reported for Rhizobium MAP7 at day 30, reaching 12.3 cm compared to the 7 cm for control.

Fig. 2
figure 2

Effect of Rhizobium MAP7, Brevibacillus DesertYSK, Pseudomonas MAP8, Bacillus MAP3, Brevibacillus MAP4 and Bacillus DeltaYSK on A shoot length, B root length, C shoot fresh weigh, and D root fresh weight of Lactuca sativa after germination for 9, 15, 20, and 30 days. The bars represent the mean value (n = 10) and the error bar represents ± standard error. Different lower-case letters indicate significant differences between the treatments “at particular sampling time” according to Duncan’s test at P ≤ 0.05

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Treatment with Brevibacillus DesertYSK and Rhizobium MAP7 significantly increased root length, while Bacillus MAP3, Brevibacillus MAP4, Pseudomonas MAP8, and Bacillus DeltaYSK showed less significant increases compared with controls. The highest value was recorded for bacterization with Brevibacillus DesertYSK at all growth stages (Fig. 2B).

Both shoot and root fresh weights in response to all treatments increased significantly, while bacterization with Brevibacillus DesertYSK and Rhizobium MAP7 surpassed the others in almost all growth stages (Fig. 2C, D). The alteration of fresh biomass partitioning indicated that Brevibacillus DesertYSK and Bacillus DeltaYSK are the ones that showed the difference after 20 and 30 days of growth in root/shoot fresh weight ratio. However, the dry weight root/shoot ratio significantly increased in response to all treatment after 9, 15, and 20 days of growth (Fig. 3A, B).

Fig. 3
figure 3

Effect of Rhizobium MAP7, Brevibacillus DesertYSK, Pseudomonas MAP8, Bacillus MAP3, Brevibacillus MAP4 and Bacillus DeltaYSK on A root/shoot fresh weight, B root/shoot dry weight, C shoot water content, and D root water content of Lactuca sativa after germination for 9, 15, 20, and 30 days. The bars represent the mean value (n = 10) and the error bar represents ± standard error. Different lower-case letters indicate significant differences between the treatments “at particular sampling time” according to Duncan’s test at P ≤ 0.05

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Although the water content increased significantly in response to all treatments, the root content of water retained at the highest level in response to Brevibacillus DesertYSK (Fig. 3C, D).

All treatments led to a dramatic increase in chlorophyll a compared with controls; the highest value was recorded for Rhizobium MAP7 bacterization (three times the control) in 30-day old seedlings (Fig. 4A). Treatment with Rhizobium MAP7 (three times the control) and Brevibacillus DesertYSK caused a significant increase in chlorophyll b compared with controls (Fig. 4B). In terms of carotenoid content, levels increased significantly by Pseudomonas MAP8, Rhizobium MAP7, and Brevibacillus DesertYSK treatments (Fig. 4C). The highest value was recorded on the final study day for Pseudomonas MAP8 treatment (56.7 µg/g fresh weight). The response of total chlorophyll increase is the toll of the mentioned increases in chlorophyll a, chlorophyll b, and cartenoids in response to the used biostimulants that were in descending order as follows, Pseudomonas MAP8, Rhizobium MAP7, Brevibacillus MAP4, Brevibacillus DesertYSK, and Bacillus DeltaYSK.

Fig. 4
figure 4

Effect of Rhizobium MAP7, Brevibacillus DesertYSK, Pseudomonas MAP8, Bacillus MAP3, Brevibacillus MAP4 and Bacillus DeltaYSK on A chlorophyll a, B chlorophyll b, C carotenoids, and D Total pigments of Lactuca sativa after germination for 9, 15, 20, and 30 days. The bars represent the mean value (n = 10) and the error bar represents ± standard error. Different lower-case letters indicate significant differences between the treatments “at particular sampling time” according to Duncan’s test at P ≤ 0.05

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From our data, all treatments improved lettuce growth and surpassed controls; lettuce seedling showed greatly improved growth parameters (Fig. 5A), with evident differences in appearance between biostimulant-treated lettuce plants and controls (Fig. 5B).

Fig. 5
figure 5

A The growth of Lactuca sativa seedlings on the 30th day of the greenhouse experiment after different bacterial treatments compared to the control (MAP7 = Rhizobium MAP7, DesertYSK = Brevibacillus DesertYSK, MAP8 = Pseudomonas MAP8, MAP3 = Bacillus MAP3, MAP4 = Brevibacillus MAP4, and DeltaYSK = Bacillus DeltaYSK), B control versus Rhizobium MAP7 treated plants

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Discussion

The plant growth-promoting traits of isolates from different plant tissues showed that strains coinhabiting in root nodules with rhizobia were more efficient when compared with endophytic counterparts. This was not only evident from in vitro assays, but also seed biopriming assays. Based on Bray–Curtis analyses, six isolates clustered together included Rhizobium MAP7, Brevibacillus DesertYSK, Brevibacillus MAP4, Pseudomonas MAP8, Bacillus DeltaYSK, and Bacillus MAP3. All were derived from the root nodules of legumes. Our results evidently support that a lot is still unknown about the nodule-inhabiting microbes other than rhizobia, although they might be of high potentiality as a source for PGPB.

The growth-promoting criteria of isolates

To sum up how the plant growth promotion was made possible by PGPB, here is a list of criteria to be checked. Firstly, IAA produced by rhizobacteria mainly affects root systems by increasing growth and branching total count, leading to increased soil-contact surface areas. These improvements increase the available nutritional pool and the growth potential of plants. In this study, Brevibacillus DesertYSK and Bacillus DesertYSK produced the highest IAA levels based on in vitro assays (Tables 3 and 4) and greatly promoted lettuce and barley root elongation (Table 6 and Fig. 2A), but not cowpea; here, Rhizobium MAP7 bacterization generated the highest root length values. This result agreed with previous research reporting IAA production from the same bacterial species isolated from a citrus plant [39, 40]. Rhizobium MAP7 is one of the highest IAA producers, and this might be explained by compatibility between this strain and V. unguiculata as a legume, although it might not be the optimum host among other legumes [41].

Gibberellin produced by PGPB affects the shoot systems of plants after upward translocation. In this study, the shoot system got on board too in the lettuce experiment. Regarding lettuce weight and water content, as Brevibacillus DesertYSK produced the highest GA3 levels (Tables 3 and 4), this may explain the enhancement in shoot growth and fresh lettuce weight by this strain after nine and 15 days of growth (Figs. 2 and 3). This strain was continuing to advance in influence, despite not being the most significant at the time of experiment termination. For V. unguiculata, Rhizobium MAP7 was a more favorable biostimulant. This result agreed with a previous report where Acinetobacter calcoaceticus, the producer of different GA3 and a phosphate solubilizer, enhanced cucumber, Chinese cabbage, and crown daisy growth [42, 43].

One of the functions of PGPB is to allow plants to use unavailable macronutrients such as nitrogen. The use of Rhizobium MAP7 and Brevibacillus DesertYSK, as symbiotic and free nitrogen fixers (Table 3), therefore enhances lettuce (Figs. 2 and 3), barley, and cowpea growth (Table 5). This result agreed with previous studies, where the positive effects of these strains on several plants were attributed to their nitrogen-fixing abilities [44,45,46]. Ammonia production is not an uncommon trait in endophytic bacteria from root nodules and is related to nitrogen fixation [47]. The nitrogen fixers in this study were outstanding in terms of ammonia production (Table 3).

Phosphate solubilizing bacteria enhance the availability of insoluble phosphate. Rhizobium MAP7, Brevibacillus DesertYSK, and Bacillus DeltaYSK were the highest phosphate solubilizing strains in this study. Relevant bacterial strains were of potential phosphate solubilizing ability that enabled them to improve tested plants’ growth [48,49,50]. Iron chelation by PGPB siderophores provides iron for plant growth. In this study, Rhizobium MAP7 was the highest siderophore producing isolate. Most recently, Rhizobium leguminosarium was found to produce siderophores even under kitazin stress that enable pea to grow in fungicide enriched soil [51].

Volatile cyanogen production by compatible PGPB helps alleviate biotic stressors such as weeds, phytopathogens, and abiotic stressors such as salt [52,53,54]. Rhizobium MAP7 followed by Brevibacillus DesertYSK showed the highest HCN levels (Table 3). A previous report indicated the ability of Rhizobium to produce HCN [51]. However, Brevibacillus was regarded as a noncyanogenic organism [55].

Pseudomonas MAP5 produced the highest EPS levels (Table 3) in agreement with a previous study stating that Pseudomonas putida produced huge EPS levels when compared with other isolates [56]. EPS generation is an important factor for plant interactions, not only for beneficial microbes but also for pathogens [57].

1-Aminocyclo-propane-1-carboxylate-deaminase activity by PGPB is a topical subject in the literature. Our data showed that Rhizobium MAP7 and Bacillus DeltaYSK generated the highest vigor indices and root and shoot lengths for V. unguiculata and H. vulgare, respectively. Thus, seeds treated with these isolates were more vigorous when compared with controls and other treatments. The increased root elongation may be attributable to the ACC-deaminase activity of these strains. The first report on ACC deaminase activity in rhizobia was in Rhizobium leguminosarum bv. viciae 128C53K [58]. Several Bacilli also exhibit this ACC activity [59, 60]. By serving as a sink for ACC, the cleavage of ACC by the bacterium supplying ACC deaminase reduces the quantity of ACC and subsequently ethylene leading to delayed senescence [61]. The high I and II vigor indices induced by Rhizobium MAP7 and Bacillus DeltaYSK for V. unguiculata and H. vulgare, respectively, indicated the potential effects of these isolates on seed performance.

L. sativa responses to PGPB

Pot studies evaluated the effects of selected PGPB on lettuce growth and pigment content. On the 30th day, all treatments, especially Brevibacillus DesertYSK and Rhizobium MAP7, in the absence of soil chemical fertilizers (other than peat moss chemical composition (Table 1)), significantly surpassed control plants for all growth parameters. This indicated significant growth promotion effects by isolate treatments, as supported by in vitro studies. Rhizobium leguminosarum was previously used as a potential microbial biofertilizer for L. sativa [62]. Rhizobium radiobacter was described as the best biofertilizer for lettuce cultivation compared with (NPK), vermicompost (VC), and farmyard manure (FYM) [63]. Additionally, different Pseudomonas strains alleviated salt stress in lettuce plants [64]. To our knowledge, our study may be the first to report Brevibacillus as a compatible PGPB for lettuce. Similarly, Brevibacillus brevis was reported as a potential promoter of cotton growth [55]. Most recently, Brevibacillus was isolated from maize cultivated in a semi-arid region and described as potential PGPB [65].

In terms of pigmentation, plants treated with Rhizobium MAP7, Brevibacillus DesertYSK, and Pseudomonas MAP8 displayed higher pigment levels (chlorophyll a, chlorophyll b, and carotenoids). Increased chlorophyll in response to PGPB was reported in several studies [66, 67]. This increased pigment content may be attributed to available nitrogen and siderophores, provided by these strains in the in vitro assays (Table 3) those that allow chlorophyll biosynthesis, a conclusion has been drawn previously [68]. Regarding the aforementioned plant growth promotion criteria, it makes sense that the pretreated yield with compatible PGPB would have better quality than quantity. Several studies suggested that PGPB improved photosynthesis in plants and affected pigment content, making plants greener [69]. Similarly, photosynthate production is believed to enhance crop growth and development when treated with PGPB.

Conclusions

PGPB potentially functions as a novel solution to address sustainable agriculture issues [70]. Carefully selecting compatible and beneficial microorganisms from highly specific environments such as root nodules could generate noticeable and substantial differences in agriculture. In this study, both Brevibacillus DesertYSK and Rhizobium MAP7 outperformed other strains in terms of in vitro plant growth promoting traits and positively affecting L. sativa growth and pigmentation. This result confirmed that root nodules could be a unique repository for potential plant growth promoting bacteria. These promising strains warrant more comprehensive research and widespread applications not only for lettuce but for other crops.

Availability of data and materials

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Abbreviations

CAS:

Chrome azurol S

EPS:

Exopolysaccharides

GA3:

Gibberellic acid

HDTMA:

Hexadecyltrimethylammonium bromide

IAA:

Indole acetic acid

PGPB:

Plant growth promoting bacteria

References

  1. Ganivet E (2020) Growth in human population and consumption both need to be addressed to reach an ecologically sustainable future. Environ, Dev and Sustain 22(6):4979–4998

    Article  Google Scholar 

  2. Pahalvi HN et al (2021) Chemical fertilizers and their impact on soil health, in Microbiota and Biofertilizers. Springer 2:1–20

    Google Scholar 

  3. Naghdi AA et al (2022) Enhancing the qualitative and quantitative traits of potato by biological, organic, and chemical fertilizers. J Saudi Soc Agric Sci 21(2):87–92

    Google Scholar 

  4. Rouphael Y, Colla G (2018) Synergistic biostimulatory action: designing the next generation of plant biostimulants for sustainable agriculture. Front Plant Sci 9:1655

    Article  Google Scholar 

  5. Shubha K et al (2017) Bio-stimulants: an approach towards the sustainable vegetable production, in agriculturally important microbes for sustainable agriculture. Springer, p 259–277

  6. Parray JA et al (2016) Current perspectives on plant growth-promoting rhizobacteria. J Plant growth regul 35(3):877–902

    Article  Google Scholar 

  7. Compant S, Clément C, Sessitsch A (2010) Plant growth-promoting bacteria in the rhizo-and endosphere of plants: their role, colonization, mechanisms involved and prospects for utilization. Soil Biol Biochem 42(5):669–678

    Article  Google Scholar 

  8. Dwibedi V et al (2022) Microbial endophytes: application towards sustainable agriculture and food security. Appl Microbiol Biotechnol 106(17):5359–5384

    Article  Google Scholar 

  9. Majeed A et al (2015) Isolation and characterization of plant growth-promoting rhizobacteria from wheat rhizosphere and their effect on plant growth promotion. Front microbiol 6:198

    Article  Google Scholar 

  10. Zahir ZA, Arshad M (2004) Perspectives in agriculture. Adv Agron. 81:97

    Article  Google Scholar 

  11. Poria V et al (2022) Plant growth-promoting bacteria (PGPB) integrated phytotechnology: A sustainable approach for remediation of marginal lands. Front Plant Sci 13:999866

    Article  Google Scholar 

  12. Turner TR, James EK, Poole PS (2013) The plant microbiome. Genome biol 14(6):1–10

    Article  Google Scholar 

  13. Mendes R et al (2011) Deciphering the rhizosphere microbiome for disease-suppressive bacteria. Science 332(6033):1097–1100

    Article  Google Scholar 

  14. Patel HK et al (2022) Soil microbiome: a key player in conservation of soil health under changing climatic conditions, in biotechnological innovations for environmental bioremediation. Springer, p 53–82

  15. Qu Q et al (2020) Rhizosphere microbiome assembly and its impact on plant growth. J agric and food chem 68(18):5024–5038

    Article  Google Scholar 

  16. Santoyo G et al (2016) Plant growth-promoting bacterial endophytes. Microbiol res 183:92–99

    Article  Google Scholar 

  17. Adeleke BS, Babalola OO (2021) The plant endosphere-hidden treasures: a review of fungal endophytes. Biotechnol Genet Eng Rev 37(2):154–177

    Article  Google Scholar 

  18. Zuluaga MYA et al (2020) Diversity and plant growth-promoting functions of diazotrophic/N-scavenging bacteria isolated from the soils and rhizospheres of two species of Solanum. PLoS ONE 15(1):e0227422

    Article  Google Scholar 

  19. Křístková E et al (2008) Description of morphological characters of lettuce (Lactuca sativa L.) genetic resources. Hortic Sci 35(3):113–129

    Article  Google Scholar 

  20. Kim MJ et al (2016) Nutritional value, bioactive compounds and health benefits of lettuce (Lactuca sativa L.). J Food Compos Anal 49:19–34

    Article  Google Scholar 

  21. NB, NK, Mallikarjuna K (2017) Biochemical characterization and protein profile by sds-page of french bean (phaseolus vulgaris l.) Associated rhizobia. Innov Int J Med Pharm Sci 2(2):8–13

    Google Scholar 

  22. Agha MS et al (2021) Dual inoculation of Bradyrhizobium and Enterobacter alleviates the adverse effect of salinity on Glycine max seedling. Notulae Botanicae Horti Agrobotanici Cluj-Napoca. 49(3):12461

    Article  Google Scholar 

  23. Mowafy AM et al (2021) Endophytic Bacillus, Enterobacter, and Klebsiella enhance the growth and yield of maize. Acta Agriculturae Scandinavica, Section B—Soil & Plant Science 71(4):237–246

    Google Scholar 

  24. Miller J (1972) Assay of B-galactosidase. In: Experiments in molecular genetics. Cold Spring Harbor Laboratory Press, Cold Spring Harbor

  25. Gordon SA, Weber RP (1951) Colorimetric estimation of indoleacetic acid. Plant physiol 26(1):192–195

    Article  Google Scholar 

  26. Holbrook AA, Edge W, Bailey F (1961) Spectrophotometric method for determination of gibberellic acid. ACS Publications

  27. Bakker AW, Schippers B (1987) Microbial cyanide production in the rhizosphere in relation to potato yield reduction and Pseudomonas spp-mediated plant growth-stimulation. Soil Biol Biochem 19(4):451–457

    Article  Google Scholar 

  28. Cappuccino J, Sherman N (1992) Biochemical activities of microorganisms. Microbiology, A Laboratory Manual. The Benjamin/Cummings Publishing Co., California, p 188–247

  29. Li Y et al (2017) Characterization of high yield exopolysaccharide produced by Phyllobacterium sp. 921F exhibiting moisture preserving properties. Int j biol macromol 101:562–568

    Article  Google Scholar 

  30. Rao S (1977) Soil microorganisms and plant growth

    Google Scholar 

  31. Schwyn B, Neilands J (1987) Universal chemical assay for the detection and determination of siderophores. Anal biochem 160(1):47–56

    Article  Google Scholar 

  32. Murphy J, Riley JP (1962) A modified single solution method for the determination of phosphate in natural waters. Analyt chimica acta. 27:31–36

    Article  Google Scholar 

  33. Mickky BM, Abbas MA, Sameh NM (2019) Morpho-physiological status of fenugreek seedlings under NaCl stress. J King Saud Univ Sci 31(4):1276–1282

    Article  Google Scholar 

  34. Karadeniz A, Topcuoğlu Ş, Inan S (2006) Auxin, gibberellin, cytokinin and abscisic acid production in some bacteria. World J Microbiol Biotechnol 22(10):1061–1064

    Article  Google Scholar 

  35. Hiscox J, Israelstam G (1979) A method for the extraction of chlorophyll from leaf tissue without maceration. Canad j bot 57(12):1332–1334

    Article  Google Scholar 

  36. Arnon DI (1949) Copper enzymes in isolated chloroplasts. Polyphenoloxidase in Beta vulgaris. Plant physiol 24(1):1

    Article  Google Scholar 

  37. Myers J, Kratz W (1955) Relations between pigment content and photosynthetic characteristics in a blue-green alga. The J General Physiol 39(1):11–22

    Article  Google Scholar 

  38. Kumari R et al (2018) Extraction and estimation of chlorophyll content of seed treated lentil crop using DMSO and acetone. J Pharm Phytochem 7(3):249–250

    Google Scholar 

  39. Trivedi P, Spann T, Wang N (2011) Isolation and characterization of beneficial bacteria associated with citrus roots in Florida. Microbial ecol 62(2):324–336

    Article  Google Scholar 

  40. Ahmad F, Ahmad I, Khan M (2008) Screening of free-living rhizospheric bacteria for their multiple plant growth promoting activities. Microbiol res 163(2):173–181

    Article  Google Scholar 

  41. Sena PTS et al (2020) Molecular, physiological, and symbiotic characterization of cowpea rhizobia from soils under different agricultural systems in the semiarid region of Brazil. J Soil Sci Plant Nut 20(3):1178–1192

    Article  Google Scholar 

  42. Kang S-M et al (2009) Gibberellin production and phosphate solubilization by newly isolated strain of Acinetobacter calcoaceticus and its effect on plant growth. Biotechnol let 31(2):277–281

    Article  Google Scholar 

  43. Wong W et al (2015) The importance of phytohormones and microbes in biofertilizers, in Bacterial metabolites in sustainable agroecosystem. Springer, p 105–158

  44. Nelson LM, Child J (1981) Nitrogen fixation and hydrogen metabolism by Rhizobium leguminosarum isolates in pea root nodules. Canad J Microbiol 27(10):1028–1034

    Article  Google Scholar 

  45. Yang C et al (2017) Symbiosis of selected Rhizobium leguminosarum bv. viciae strains with diverse pea genotypes: effects on biological nitrogen fixation. Canad j microbiol. 63(11):909–919

    Article  Google Scholar 

  46. Afify AH et al (2019) Inoculation with Single, Dual or Consortia of Rhizobium leguminosarum bv. trifolli, Pseudomonas stutzeri and Anabaena sp. and their effect on Yield Components of Rice Plant. J Agri Chem Biotech. 10(9):189–193

    Google Scholar 

  47. Selvakumar G et al (2008) Isolation and characterization of nonrhizobial plant growth promoting bacteria from nodules of Kudzu (Pueraria thunbergiana) and their effect on wheat seedling growth. Current microbiol 56(2):134–139

    Article  Google Scholar 

  48. Chabot R et al (1996) Root colonization of maize and lettuce by bioluminescent Rhizobium leguminosarum biovar phaseoli. Appl Environ Microbiol 62(8):2767–2772

    Article  Google Scholar 

  49. Panhwar QA et al (2013) Application of potential phosphate-solubilizing bacteria and organic acids on phosphate solubilization from phosphate rock in aerobic rice. The Sci World J 1:10

    Google Scholar 

  50. Rincón-Molina CI et al (2020) Plant growth-promoting potential of bacteria associated to pioneer plants from an active volcanic site of Chiapas (Mexico). App Soil Ecol. 146:103390

    Article  Google Scholar 

  51. Shahid M, Khan MS, Kumar M (2019) Kitazin-pea interaction: understanding the fungicide induced nodule alteration, cytotoxicity, oxidative damage and toxicity alleviation by Rhizobium leguminosarum. RSC adv 9(30):16929–16947

    Article  Google Scholar 

  52. Numan M et al (2018) Plant growth promoting bacteria as an alternative strategy for salt tolerance in plants: a review. Microbiol res 209:21–32

    Article  Google Scholar 

  53. Jha CK, Saraf M (2015) Plant growth promoting rhizobacteria (PGPR): a review. J Agricul Re Develop 5(2):108–119

    Google Scholar 

  54. Saraf M, Pandya U, Thakkar A (2014) Role of allelochemicals in plant growth promoting rhizobacteria for biocontrol of phytopathogens. Microbiol res 169(1):18–29

    Article  Google Scholar 

  55. Nehra V, Saharan BS, Choudhary M (2016) Evaluation of Brevibacillus brevis as a potential plant growth promoting rhizobacteria for cotton (Gossypium hirsutum) crop. Springerplus 5(1):1–10

    Article  Google Scholar 

  56. Celik GY, Aslim B, Beyatli Y (2008) Characterization and production of the exopolysaccharide (EPS) from Pseudomonas aeruginosa G1 and Pseudomonas putida G12 strains. Carbohyd Polym 73(1):178–182

    Article  Google Scholar 

  57. Heredia-Ponce Z et al (2021) Beyond the wall: exopolysaccharides in the biofilm lifestyle of pathogenic and beneficial plant-associated Pseudomonas. Microorganisms 9(2):445

    Article  Google Scholar 

  58. Ma W et al (2003) Prevalence of 1-aminocyclopropane-1-carboxylate deaminase in Rhizobium spp. Antonie Van Leeuwenhoek 83(3):285–291

    Article  Google Scholar 

  59. Gowtham H et al (2020) Induction of drought tolerance in tomato upon the application of ACC deaminase producing plant growth promoting rhizobacterium Bacillus subtilis Rhizo SF 48. Microbiol res 234:126422

    Article  Google Scholar 

  60. Amna, et al (2019) Mechanistic elucidation of germination potential and growth of wheat inoculated with exopolysaccharide and ACC-deaminase producing Bacillus strains under induced salinity stress. Ecotoxicol environm saf. 183:109466

    Article  Google Scholar 

  61. Shaharoona B et al (2007) Effectiveness of various Pseudomonas spp. and Burkholderia caryophylli containing ACC-Deaminase for improving growth and yield of wheat (Triticum aestivum I.). J microbiol biotechnol 17(8):1300

    Google Scholar 

  62. Flores-Félix JD et al (2013) Use of Rhizobium leguminosarum as a potential biofertilizer for Lactuca sativa and Daucus carota crops. J Plant Nut Soil Sci 176(6):876–882

    Article  Google Scholar 

  63. Julia I et al (2020) Biofertilization with Macrocystis pyrifera algae extracts combined with PGPR-enhanced growth in Lactuca sativa seedlings. J Appl Phycol 32(6):4361–4371

    Article  Google Scholar 

  64. Azarmi-Atajan F, Sayyari-Zohan MH (2020) Alleviation of salt stress in lettuce (Lactuca sativa L.) by plant growth-promoting rhizobacteria. J Hortic and Postharvest Res. J Hortic and Postharvest Res. 3(Special Issue-Abiotic and Biotic Stresses):67–78

    Google Scholar 

  65. Nascimento RdC et al (2021) Maize-associated bacteria from the Brazilian semiarid region boost plant growth and grain yield. Symbiosis 83(3):347–359

    Article  Google Scholar 

  66. Mishra PK et al (2012) Coinoculation of Rhizobium leguminosarum-PR1 with a cold tolerant Pseudomonas sp. improves iron acquisition, nutrient uptake and growth of field pea (Pisum sativum L.). J plant nut 35(2):243–256

    Article  Google Scholar 

  67. Yildirim E et al (2011) Growth, nutrient uptake, and yield promotion of broccoli by plant growth promoting rhizobacteria with manure. HortSci 46(6):932–936

    Article  MathSciNet  Google Scholar 

  68. Tang C, Robson AD, Dilworth MJ (1990) The role of iron in nodulation and nitrogen fixation in Lupinus angustifolius L. New Phytol 114(2):173–182

    Article  Google Scholar 

  69. Amir H et al (2001) Effects of Azospirillum inoculation on N2 fixation and growth of oil palm plantlets at nursery stage. J Oil Palm Res 13(1):42–49

    Google Scholar 

  70. Elsayed A, Abdelsattar AM, Heikal YM, El-Esawi MA (2022) Synergistic effects of Azospirillum brasilense and Bacillus cereus on plant growth, biochemical attributes and molecular genetic regulation of steviol glycosides biosynthetic genes in Stevia rebaudiana. Plant Physiol Biochem 189:24–34

    Article  Google Scholar 

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Acknowledgements

The authors thank Dr. Ahmed Abdelrazek, Mona Agha and Marwa M. Fawzy, Botany Department, Faculty of Science, Mansoura University, for providing strains and for valuable discussions. Also, the authors would like to thank Prof. Wesam Elden Ismail, Water and Environmental Research Institute for help in statistical analysis.

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  1. Botany Department, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt

    Amr M. Mowafy, Sherouk Khalifa & Ashraf Elsayed

  2. Department of Biological Sciences, Faculty of Science, New Mansoura University, New Mansoura City, Egypt

    Amr M. Mowafy

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Amr M. Mowafy is one of Sherouk Masters supervisor who construct the framework and helped in the practical work, data representation, and writing. Sherouk Khalifa is the master student, did the paractical work, and participted in the writing. Ashraf Elsayed is the main supervisor of Sherouk’s masters. All authors read and approved the final manuscript.

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Mowafy, A.M., Khalifa, S. & Elsayed, A. Brevibacillus DesertYSK and Rhizobium MAP7 stimulate the growth and pigmentation of Lactuca sativa L.. J Genet Eng Biotechnol 21, 17 (2023). https://doi.org/10.1186/s43141-023-00465-1

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