identification and characterisation of siderophore
TRANSCRIPT
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IDENTIFICATION AND CHARACTERISATION OF SIDEROPHORE POSITIVE
PSEUDOMONAS FROM NORTH INDIAN ROSEWOOD (DALBERGIA SISSOO) Roxb.
FOREST ECOSYSTEM
PRAGATI SRIVASTAVA, VANDANA JAGGI, HEMANT DASILA & MANVIKA SAHGAL
Department of Microbiology, G. B. Pant University of Agriculture & Technology, Pantnagar, Uttarakhand, India
ABSTRACT
Dalbergia sissoo Roxb., common name shisham, natural as well as plantation forests, are facing the large scale
mortality induced by poor soil fertility. Iron scarcity in Dalbergia sissoo leads to iron deficiency-induced chlorosis
(IDIC) which makes this tree susceptible to fungal pathogens and lepidopteron attack. Since Dalbergia sissoo provides
valuable timber as well as enriches soil nitrogen, its large scale decline incurs a huge economic loss. Several
rhizosphere dwelling bacteria secrete ferric iron-chelating agents, siderophores, under iron-deficient conditions. The
siderophore positive bacteria are significant as plant growth promoting and biocontrol agents. Therefore this paper
deals with the isolation, identification, and characterization of siderophore positive bacteria from the Dalbergia sissoo
plantation forest from the Tarai region of western Himalayas. The siderophore production in twenty shisham
rhizosphere bacteria was assayed qualitatively and quantitatively through chrome azurol ‘S’ assay. In all 10 isolates
were siderophore positive and identified as Pseudomonas, Streptomyces, and Burkholderia. Out of which, the five
strains, viz., R2, R4, B3 B6, and B9, that showed production of higher siderophore units (65- 90 % SU) were identified
as belonging to Genus Pseudomonas. Further characterization and optimization studies revealed that all five strains
produced siderophores in the range of 80-100 % SU under pH 7-9 and without the addition of FeCl3 in the growth
medium. These Pseudomonas strains are promising candidates for siderophore production and hold promise as iron
biofertilizers for use in plantation forestry.
KEYPOINTS: Seasonal microbial diversity in Dalbergia sissoo, Optimization of siderophore production & molecular
identification of selected isolates
Received: Sep 22, 2020; Accepted: Oct 11, 2020; Published: Oct 31, 2020; Paper Id.: IJASRAUG202032
INTRODUCTION
Dalbergia sissoo (shisham) is prominent timber species of India. It is widely distributed all along Sub-Himalayan
Tract generally up to an altitude of 900 m and occasionally to 1500 mabsl. Natural and plantation sissoo forests are
common in Bihar, Haryana, Punjab, and Uttar-Pradesh. It is suitable for agroforestry systems and can be grown
successfully in combination with fodder grasses, fruit trees, and crops. Because of its strength, elasticity, durability,
and colour grain attractive surface, the shisham wood is a highly valuable timber. Besides, it is an important tree of
social forestry and fixes nitrogen (Lal and Singh, 2012; Ahmad et al, 2013; Rashid et al 2019). In recent years,
the decline of shisham tree (Dalbergia sissoo Roxb.) plantations and natural forests have been observed in foothills
of Himalayas from eastern Afghanistan through Pakistan to India and Nepal (Sagta and Nautiyal, 2001; Ashraf et
al., 2010). Fungal dieback is a major threat to this multipurpose tree (Ahmad et al., 2016, 2017) and has affected
millions of trees in Southern Asia (Voget et al., 2011).
Orig
ina
l Article
International Journal of Agriculture
Science and Research (IJASR)
ISSN (P): 2250–0057; ISSN (E): 2321–0087
Vol. 10, Issue 4, Aug 2020, 239-256
© TJPRC Pvt. Ltd.
240 Pragati Srivastava, Vandana Jaggi, Hemant Dasila & Manvika Sahgal
Impact Factor (JCC): 8.3083 NAAS Rating: 4.13
Nutrient elements, such as phosphorous and iron are known to limit crop and forest plantation yields
(Schulze and Mooney, 2012; Kumar 2015). Iron has an innumerable function in the plant system. It is present as a
prosthetic group in cytochrome b and c, it regulates the structure and function of stomata. Iron is required for the
functioning of Photosystem I and II and is present as Rieske iron-sulphur protein in the electron transport chain,
during photosynthesis. Unlike phosphorous, iron is abundantly present in the soil but unavailable to plants due to low
solubility of Fe3+ form in alkaline pH and aerobic environment. Iron limitation in Dalbergia sissoo leads to iron
deficiency-induced chlorosis which makes this perennial tree vulnerable to attack by fungal pathogens and
lepidopterans. Mortality is more common in monoculture Sissoo plantation forests where if a single tree is affected;
the whole plantation is adversely affected. Micro-organisms possess a mechanism to overcome the iron limitation by
the production of “siderophore” (Kleoper et al., 1980; Neilands, 1995; Ahmed and Holmstorm, 2014). This is a
low molecular weight Fe3+ metal-chelating molecule. According to the co-ordinating group that chelates Fe3+ ion,
four major siderophore types are (i) catecholate (ii) hydroxymate (iii) carboxylate (iv) mixed ligands (Ali and
Vidhale, 2013). Catecholate type of siderophores contains phenolate or 2, 3 dihydroxy benzoate as a co-ordinating
group. Some known examples of catecholate type are azotochelin and aminochelin (Wittman et al., 2001) and
Enterobactin, a common siderophore produced by members of family Enterobacteriacae: E. coli, Salmonella
typhimurium, Aerobacter aerogenes (Ward et al., 1999). The second most common type of siderophore is
hydroxymate. It contains a C (=O) N-(OH) R group, where R group can be an amino acid or its derivative (Řezanka
et al., 2019). Hydroxymate siderophore has a strong affinity for Fe3+ ion with binding constant in the range 1022 -
1032 per moles. Some examples of hydroxymate siderophores include ferrichrome produced by soil fungi (Zahnerat
et al, 1963; O’Sulvian & O’Gara 1992; Schalk et al., 2011). They are used as therapeutics. For example
ferrioxamines, the linear tri-hydroxamates produced by Streptomyces and Nocardia, are used for the treatment of
thalassemia (WHO, 2013). Carboxylate type of siderophore contains hydroxyl carboxylate/carboxylate as a
coordinating moiety (Schwyn and Neilands, 1987). A common example is Rhizoferrin (Munzinger et al., 1999) and
Rhizobactin (Kim et al., 2016). Mostly fungus produces mixed ligand type siderophores. Similarly, siderophores
produced by Pseudomonas mainly pyoverdine, pseudobactins, pyoverdine are also examples of mixed ligand type
siderophores (Abddalah 1991; Meyer 2000; Meneely & Lamb). Siderophores produced by Pseudomonas are
categorized as, low (primary) and high affinity (secondary) siderophores. Pyoverdine and pseudobactin are high-
affinity whereas pyochelin, pseudomonine, quinolobactin, thioquinolobactin, pyridine-2, 6-dithiocarboxylic acid
(PDTC) are low-affinity siderophores. The genus Pseudomonas is one of the most diversified genera and well known
for plant growth promoting and disease management properties. They are cosmopolitan and inhabit diverse
environments such as an ocean, hydrothermal vents, or soil. Pseudomonas, Agrobacterium, Arthrobacter,
Azotobacter, Azospirillum, Bacillus, Burkholderia, Caulobacter, Chromobacterium, Erwinia, Flavobacterium,
Micrococcus, Allorhizobium, Azorhizobium, Bradyrhizobium, Mesorhizobium and Rhizobium are known to enhance
mineral nutrition, phytohormones synthesis, and suppress the growth of soil-borne pathogens via siderophore
production (Bhattacharya and Jha, 2012). Therefore, siderophore producing microorganisms have a colonizing
advantage over other microorganisms in the rhizosphere (Haas and Défago, 2005). Siderophore positive
Pseudomonas fluorescens is known to control bacterial pathogens causing bacterial soft rot of potato, tomato
bacterial wilt, the bacterial canker of tomato (David et al 2018, Shamigarah et al 2015). Heavy metal resistant
Pseudomonas aeruginosa RZS3 show antagonism against Aspergillus niger NCIM 1025, A. flavus NCIM 650,
Identification and Characterisation of Siderophore Positive Pseudomonas from North 241
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Fusarium oxysporum NCIM 1281, Alternaria alternata ARI 715, Cercospora arachichola, Metarhizium anisopliae
NCIM 1311 and P. solanacerum NCIM 5103 (Sayyed and Patel 2011). Abo Zaid et al. (2020) screened twenty
Pseudomonas strains against six plant pathogenic fungi and observed that two putative biocontrol strains P. aeruginosa
F2 and P. fluorescens JY3 were also producing siderophore. In these strains, siderophore production was highest in
batch and exponential fed-batch fermentation. These examples indicate that siderophore positive Pseudomonas species
can serve as multifunctional microbial inoculants. Their beneficial effects include both plant growth enhancement and
biological control of phytopathogenic fungi (Kumar et al., 2017). Although siderophore positive rhizobacteria from
crop cultivation systems have been extensively characterized. But very little is known about the siderophore producing
bacteria from forest ecosystems specifically from Dalbergia sissoo forests and plantations. Therefore, the present study
was planned with the following specific objectives i) Analysis of physico-chemical properties and microbial diversity in
rhizospheric and bulk soil samples from Dalbergia sissoo forests ecosystem in two different seasons “cold dry” and
"monsoon” season using culture-dependent approach, ii) isolation and screening of siderophore producing bacteria and
optimization of physicochemical parameters for enhanced siderophore production. The selected strains can serve as iron
bio inoculants for commercial agriculture in iron scarce agroforestry ecosystems where the bio-availability of iron is
compromised.
MATERIAL AND METHODS
Soil Sampling
Soil samples (Bulk, B and Rhizospheric, R) were collected from a ten year old shisham plantation, in two different seasons,
cold dry season (Oct- Dec) and monsoon season (June-Aug) maintained at Agroforestry Research Centre, G.B Pant
University of Agriculture & Technology, Pantnagar (28°58′N 79°25′E / 28.97°N 79.41°E). Soil was immediately
transferred in polyethylene bags and transported to laboratory and refrigerated at 40 C. The samples were serially diluted
and plated on nutrient agar plates. The plates were incubated at 28±20C in BOD incubator for 3 to 5 days. The colonies
were distinguished and pure cultures were maintained in separate plates.
Physicochemical Characteristics of Shisham Rhizospheric Soil
The soil pH was determined by the slurry method wherein soil and distilled deionized water were mixed in the ratio
1:5 and measured with a glass electrode of microprocessor based pH meter, century CP 931 (Miller and Donochue,
1992). For measurement of electrical conductivity (EC), soil and water were mixed in ratio 1:25, and reading
recorded with digital microprocessor based conductivity meter (Systronic Model 306). Total organic carbon (OC)
was determined by Kjeldahl digestion method (TKN). Available phosphorous (AP) content was measured
colourimetrically after extraction with 0.5 mol l-1 NaHCO3 (pH8.5) for 30 minute (Olsen et al., 1954). Available
potassium (AK) content was measured with a flame photometer after extraction with 1 mol l-1 NH4Ac (pH 7.0) for 30
minutes (Yuan et al., 1983). Minor trace element like iron and zinc were measured using an atomic absorption
spectrometry (Yao et al., 2003). The correlation between soil factors within two seasons was analysed statistically by
two-way ANOVA (P<0.05).
Quantitative and Qualitative Assay for Siderophore Production
All twenty bacterial isolates were grown in LB Broth at 30oC and 120 rpm for 48-72 hrs. and spectrophotometrically
screened for siderophore production. The production of siderophores was further confirmed by CAS Agar test
242 Pragati Srivastava, Vandana Jaggi, Hemant Dasila & Manvika Sahgal
Impact Factor (JCC): 8.3083 NAAS Rating: 4.13
developed by Schwyn and Neilands (1987) and modified by Alexendar and Zuberer (1991). For 100 ml CAS
Solution, 60.5 mg of CAS dye was diffused into 50 ml of deionized water to which 10 ml of FeCl3.6H20 solution was
added. 72.9 mg Hexa Decyl Trimethyl Ammonium Bromide (HDTMA) was separately dissolved in 40 ml of deionized
water and added to CAS solution to make up 100 ml volume. The resulting solution was autoclaved for 30 min at 1210C
at 15 psi. For CAS agar test, 0.5 ml of CAS solution was added to 0.5 ml of culture supernatant and incubated for 5
minutes. The absorbance of solution was measured at 630 nm and the amount of siderophore was calculated and
represented as % siderophore units using the formula% of Siderophore= Ar-As/Ar*100 (Set et al, 2017) Where, Ar
=Absorbance of the reference (CAS Reagent); As= absorbance of the sample at 630 nm. Confirmation was done by
qualitative CAS agar test. The log phase bacterial culture was spotted on nutrient agar plates amended with CAS
solution. The plates were incubated at 28°C under dark for 3-5 days. The appearance of yellow to orange zone confirms
the siderophore production. All the assays were carried out in triplicates.
Characterisation of Siderophore
Detection of Hydroxamate Type of Siderophore
Cskay method (1948) was used for the detection of hydroxymate type siderophores. Culture filtrate (1ml) and 6N H2SO4
(1ml) were boil together for 10minutes to release the bound hydroxymate. Then 10 ml of an indicator solution (sodium
arsenite 1ml + alpha naphthylamine 1ml, volume made up to 10 ml with DW) was added to check the colour change
reaction from orange to pink and absorbance of resulting solution was read at 526 nm taking hydroxylamine HCL was
taken as a standard.
Detection of Catechol Type of Siderophore
Catecholate type of siderophore was assayed by Arnow’s test (Arnow, 1937). To 1 ml bacterial supernatant, 1 ml 0.5N
HCL was added, followed by 1ml Nitrate Molybdate reagent (10 gm. sodium Nitrite+ 10 gm. sodium molybdate in 100
ml double distilled water). The resulting solution was incubated at 28 ± 1 ° C for 10 -15 minute. The absorbance was
measured at 510 nm taking catechol as a standard. Water and catechol were taken as negative and positive control
respectively.
PCR Amplification, Phylogenetic Analysis and Sequencing of 16S r DNA
Bacterial genomic DNA of all the 10 isolates recovered from Dalbergia sissoo plantation forest ecosystem was extracted
(Bazzicalupo and Fani, 1995) and 16S rDNA was amplified using Primers GM3f (5’TACCTTGTTGTTACGACTT3’) and
GM4r (5’TACCTTGTTACGACTT3’) (Muyzer et al., 1995). The amplified 1492 bp 16S rDNA region of all 10 isolates
was sequenced on 3730 DNA sequencer using ABI big dye terminator technology (Central Instrumental facility, Biotech
Centre UDSC, New Delhi) using same set of primers as used for 16S rRNA gene amplification.
The strains were identified using nearly complete sequence of 16S rDNA gene on EzTaxon server
(http://eztaxon_e.ezbiocloud.net) and blast search on NCBI server. The phylogenetic and molecular analysis was
performed with all the closely related taxa according to procedure described previously using MEGA version 7.0 (Tamura
et al., 2011, Roohi et al., 2012). Amplified PCR products of the selected strains were submitted to NCBI Data Bank.
Optimization of Physicochemical Parameters for Siderophore Production:
Varying sources of carbon and nitrogen, pH and concentration of iron and heavy metals were optimized for enhanced
Identification and Characterisation of Siderophore Positive Pseudomonas from North 243
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siderophore production.
(i) Effect of pH
The effect of varying pH (3-11) on siderophore production was studied. The succinate broth with different pH was
inoculated with log phase of each bacterial culture separately and incubated at 370C for 48-72 h at 120 rpm. Thereafter, 1
ml culture filtrate was added to 1 ml CAS solution and absorbance measured at 630 nm and % siderophore units calculated.
(ii) Effect of Iron Concentration
The succinic acid medium was supplemented with varying concentration of iron to determine, threshold level of iron which
repressed siderophore production. Log phase bacterial culture was inoculated separately in succinate broth amended with
varying FeCl3.6H2O concentration (0, 25, 50, 100, 150 µM) and incubated at 370C for 48-72 h at 120 rpm. Thereafter, 1ml
culture filtrate was added to CAS solution (1 ml) and absorbance was measured at 630 nm. Siderophore yield was
calculated as % siderophore unit.
(iii) Effect of Carbon and Nitrogen Source on Siderophore Production
The succinate broth (100 ml) was supplemented with 1g l-1 of four different carbon sources. Each bacterial isolate was
inoculated separately in succinate broth supplemented with sucrose, glucose, starch and mannitol and incubated at 370C for
48-72 h at 120 rpm. After 72 h, 1 ml culture filtrate was added to 1 ml CAS solution (1:1). The absorbance was measured
at 630 nm and % siderophore units calculated.
Similarly, loopful of log phase bacterial culture was inoculated into succinate broth supplemented with ammonium nitrate,
yeast extract, proteose peptone and potassium nitrate separately. The flasks were incubated at 37oC, 120 rpm for 48-72 h
after which 1ml culture filtrate was added to 1 ml of CAS solution and the absorbance measured at 630 nm and %
siderophore units were calculated.
v) Effect of Heavy Metals on Siderophore Production
To evaluate the influence of heavy metals on siderophore production, succinate broth (100 ml) was supplemented with
10µm of each, HgCl2, MnCl2, CdCl2 and NiCl2, separately followed by incubation at 37oC for 48-72 hrs. The %
siderophore unit was estimated.
Statistical Analysis
Data was analysed using two way Anova under Completely Randomized Design. Each of the parameters tested,
significantly affects the siderophore production. Moreover the interaction of each parameter with the isolates also is highly
significant.
RESULTS
Soil Physicochemical Analysis
The soil texture at the experimental site was sandy loam. During the cold season, the pH of both the rhizospheric and
bulk soil was near neutral. It was 6.72 and 7.0 respectively. In contrast during monsoon season, pH for rhizospheric
and bulk soil was alkaline and 8 and 8.5 respectively. During the cold dry season, electrical conductivity was 21.86
dsm-1 for (RS) and 21.14 dsm-1 for (BS) whereas in monsoon season 52.03dsm-1 and 43.58 dsm-1 for RS and BS
respectively. In contrast, Total organic carbon (TOC) in the monsoon season was higher than the cold dry season.
244 Pragati Srivastava, Vandana Jaggi, Hemant Dasila & Manvika Sahgal
Impact Factor (JCC): 8.3083 NAAS Rating: 4.13
During the monsoon season, TOC in (RS) and (BS) was 45909 and 43768 kg ha-1 whereas in cold dry season 25900
and 25000 kg ha-1respectively. Available phosphorous (AP) in the monsoon season was 360.161 kg ha in (RS) and
382.67 kg ha-1 in (BS) whereas in cold dry season 661.79kg ha-1 in (RS) rhizospheric soil and 54.04 kg ha-1 in (BS)
respectively. Total Kjeldahl nitrogen (TKN) in monsoon season was 815.356kg ha-1 in (RS) and 301.05kg ha-1 (BS)
whereas 200.70 kg ha-1 and 112.896 kg ha-1 in RS and BS respectively during the cold dry season. In contrast,
potassium content in the cold dry season was 352 kg ha-1 in RS and 246 Kg ha-1 in BS whereas 168.87 kg ha-1 in RS
and 125.98 kg ha-1 in BS during the monsoon season. Iron content was higher in monsoon season 19.53 kg ha-1 in RS
and 17.46 kg ha-1 BS and in the cold dry season, it was 17.45kg ha-1 in RS and 12.58 kg ha-1 in bulk soil respectively.
Zinc content was 1.34 kg ha-1 in RS and 1.008 kg ha-1 in BS in monsoon season and 0.947 kg ha-1 in RS and 1.064 kg
ha-1 in BS during the cold dry season. Figure 1(a) and (b)
0500
1000
Qu
an
tity
in K
g/h
act
are
Physicochemical parameters of
Rhizospheric soil from Dalbergia forest
ecosystem
1st Season 2nd Season
(a) (b)
Figure 1: Graphical Representation of Soil Physicochemical Parameters from Dalbergia sissoo Forest Ecosystem in
Two Different Seasons a) Rhizospheric and b) Bulk Soil
Quantitative and Qualitative Estimation of siderophore
All the 10 bacterial isolates depicted yellow to orange halo zone on CAS medium indicating positive for siderophore
production (Figure2). Each of the 10 isolates were producing 100-90 % siderophore units (Table1)
Figure 2: Siderophore production by bacterial isolates from Dalbergia sissoo Roxb. plantation forest ecosystem in a
CAS agar Plate Assay
Table1: Identification of the Siderophore Producing Bacteria through 16S rDNA Sequencing and Qualitative and
Quantitative Estimation of Siderophore Production in Bacterial Strains Recovered from Dalbergia sissoo
Plantation Forest Ecosystem
Identification and Characterisation of Siderophore Positive Pseudomonas from North 245
Indian Rosewood (Dalbergia Sissoo) Forest Ecosystem
www.tjprc.org [email protected]
Isolate Identified Strains
Quantitative
Analysis
( % SU)
Qualitative
Analysis
%
Similarity
Accessions
No
R3 Pseudomonas constantinni 72.23±0.05 ++ 92.75 MN759444
R2 Pseudomonas benzenevorans 73.33±0.5 +++ 90.95 MN759445
B9 Pseudomonas chlororaphis 86.32±0.005 +++ 98.41 MN759442
B6 Pseudomonas lini 70.79±0.01 ++ 97.61 MN759443
B8 Pseudomonas monteilli 80.36±0.005 +++ 93.13 MN759447
B3 Pseudomonas azotoformans 82.66±0.05 +++ 97.68 MN759446
B2 Pseudomonas cedrina sub spcedrina 71.91±0.005 ++ 83.94 -*
R4 Pseudomonas paralactis 68.33±0.01 ++ 86.15 -*
R5 Streptomyces lavendulae 88.33±0.57 +++ 90.62 MN759448
R10 Burkholderia territorii 91.33±0,5 +++ 86.73 -* Data are represented by the means of three replicates± standard deviation,(+++), high production;(++), medium production;(+)low.
*for three isolates (R4,B6,R10) accession number could not be retrieved in NCBI due low% similarity.
Identification of Siderophore Producing Isolates
The siderophore positive, 10 bacterial isolates were identified through 16S rDNA sequencing analysis (Table 1). The majority
of eight isolates were identified as Pseudomonas and one each as Burkholderia and Streptomyces. Their evolutionary
relationship was also derived (Figure 3). All the five best siderophore producing strains based on quantitative and qualitative
CAS assay were from the genus Pseudomonas. These five Pseudomonas strains were selected for optimization studies.
Figure 3: Evolutionary relationships of bacteria from Dalbergia sissoo plantation forest ecosystems. The three bacterial strains
B9, B6 and R4 are showing a close relationship with Pseudomonas fluorescens sp. chlororaphis, lini, paralactis and R10 showing a
similarity with Burkholderia territorri whereas R3, R2, B3, B2, B8 show similarity with Pseudomonas sp. constantini,
benzenevorans, azotoformans, cedrina sub sp cedrina ,monteilli and R5 showing similarity with Streptomyces lavendulae.
Type of Siderophore Produced
246 Pragati Srivastava, Vandana Jaggi, Hemant Dasila & Manvika Sahgal
Impact Factor (JCC): 8.3083 NAAS Rating: 4.13
Only one strain produced hydroxymate type of siderophore and none catecholate type of siderophore. The hydoxymate
type of siderophore was produced Streptomyces lavendulae strain R5.
Siderophore Production in Pseudomonas benzenivorans Strain R2
Maximum siderophore production was achieved at pH 7.0 (93.13% SU) and 9.0 (90.47% SU). Amongst the nitrogen
sources, NH4NO3 was the best utilizable nitrogen source yielding 80.51% siderophore unit. 50μM FeCl3 was best suited for
Pseudomonas benzenivorans yielding up to 48.98 % siderophore unit. Substitution of succinic acid broth with MnCl2
favoured siderophore production in the range 41.56 %SU. After optimization of the factors, the % SU increased with
respect to pH and NH4NO3 whereas decreased with respect to other factors such as carbon source, heavy metals salts and
Fe (Figure 4).
Siderophore Production in Pseudomonas paralactis Strain (R4)
The maximum siderophore production in Pseudomonas paralactis strain R4 was achieved at pH 7(98.57 % SU). Peptone
was the best utilizable N source yielding 54.27% SU. At 50μMFeCl3, 73.26% SU was obtained. Substitution of SSM broth
with CdCl2 yielded 31.34% SU. Upon optimization of the factors % SU increased with pH and Fe concentration. On the
contrary addition of peptone and CdCl2 resulted into siderophore yields lower than obtained in quantitative CAS assay
(<68.33% SU). The siderophore production positively correlated with pH and Fe concentration whereas negatively with
the other factors (Figure 4).
Siderophore Production in Pseudomonas lini Strain B6
The highest siderophore production in Pseudomonas lini strain B6 was attained at pH 11 (92.56% SU). Amongst four N
sources, the addition of peptone gave the highest yield (42.33% SU). The addition of 50μM FeCl3 resulted in the higher
% SU (42.49%SU). The substitution of SSM broth with MnCl2 yielded 41.83%SU. Only the single factor pH was
positively correlated with siderophore production. The other factors were negatively regulated with siderophore
production Figure 4.
Siderophore Production in Pseudomonas azotoformans Strain B3
The maximum siderophore production in Pseudomonas azotoformans strain B3 was attained at pH 11 (89.05% SU). Yeast
extract was the best utilizable N source resulting in 39.33 %SU yields. An addition of 50μM FeCl3 resulted in a
siderophore yield of 61.66 %SU. Moreover, the substitution of SSM broth with MnCl2 resulted in a siderophore yield of
45.45%SU. The pH of the medium alone was the major factor in increasing the amount of siderophore produced. The
remaining factors negatively regulated siderophore production and % SU was lower than 82.66%SU Figure 4.
Siderophore Production in Pseudomonas chlororaphis Strain B9
Maximum siderophore production in Pseudomonas chlororaphis strain B9 was attained at pH 7 (82.98% SU). Peptone was
the best utilizable N source yielding 45.40%SU. The addition of 50μM FeCl3 resulted in siderophore yield of 41.02%SU.
The substitution of SSM broth with MnCl2 resulted in 42.03%SU. The single major factor enhancing the siderophore yield
was pH. The other factors negatively regulated the siderophore production as % SU achieved lower than in quantitative
CAS assay(<86.32%SU) Figure 4.
DISCUSSIONS
Identification and Characterisation of Siderophore Positive Pseudomonas from North 247
Indian Rosewood (Dalbergia Sissoo) Forest Ecosystem
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Out of the 10 strains majority are within genus Pseudomonas. The reason for the dominance of Pseudomonas species
among the cultivable diversity in the Dalbergia sissoo ecosystem could be that Pseudomonas are fast growers, can utilize
various carbon sources for energy production, and have remarkable physiological and genetic adaptability (Spiere et al.,
2000). Various studies have reported that soil harbours the higher percentage of gamma Proteobacteria, amongst which
Pseudomonas have higher population density (Joshi et al., 2019). Moreover, Pseudomonas species are dominant in
unexplored soil of the Himalayan region (Shah et al. 2016). The Pseudomonas strains from this study were identified as
(R2) Pseudomonas benzenivorans, (R4) Pseudomonas paralactis (B6) Pseudomonas lini, (B3) Pseudomonas
azotoformans, and (B9) Pseudomonas chlororaphis based on their 16SrDNA sequences. The similarity level of these
strains with reference standards was low, 86-98%. Hence, if these strains are represented to housekeeping gene analysis,
could be identified as new species (Hofmann et al., 2020). These five strains are siderophore positive with production of
siderophore in range 65-90 % SU Besides, these possess other PGP traits also. Plant beneficial properties of the identified
Pseudomonas species have been proved earlier also. Previously, P. paralactis sp nov. as a biofertilizer for promoting
runner bean growth (Mihalache et al., 2016), P. lini, as a PGPR (Kiranpreet et al., 2018, 2019), P. azotoformans ASS1
protecting the plant against biotic stresses (Ma et al., 2017) and P. chlororaphis is a major soil bioinoculant for
horticultural crops and plantation trees and acts as a bio-control agent against phytopathogenic fungi due to phenazine
production (Arrebola et al., 2019; Woeng et al., 2000; Kim et al., 2000) and P. benzenivorans sp nov. has been reported
to be a remarkable xenobiotic degrader (Lang et al., 2010) .
The below-ground microbial community composition is affected by above-ground vegetation and soil
physiochemical properties. The soil of forestry ecosystems with co-cultivation of a leguminous tree Acacia mangium with
Eucalyptus urophylla or Eucalyptus grandis dominates in Firmicutes and Proteobacteria (Rachid et al., 2013). Moreover,
the cultivation of legumes favoured the growth of beneficial microbes especially Pseudomonas species in the rhizosphere
(Baker et al., 2013). In Dalbergia sissoo Roxb. plantation forests, the concentration of N and P is always higher and
shows seasonal variation (Vitousek 1984). The soil phosphorous is high because it is directly interlinked with the
regulation of nitrogen in biological nitrogen fixation (Sharma et al., 2013). Other physiological factors such as pH,
electrical conductivity, the total organic matter, micronutrients (Fe and Zn) depend on soil type. Sandy loam texture of the
soil allows good propagation of the shisham trees. However, during rains, the nutrient rich topsoil from the sub-Himalayan
tract is carried away to the agriculture fields leading to the increment of clay and nutrient content (Fe, Zn, K P, and N).
These soil conditions make the tree more vulnerable to fungus and insect-pest attack. Phytopathogenic fungi Rhizoctonia
solani, Fusarium oxysporum, Fusarium solani, Ganoderma sp., Fomes lucidium, Phellinus gilvus infect the trees (Bakshi
1974; Mukherjee et al., 1997; Ariful Islam et al., 2018).
The abundance of Pseudomonas influences soil Fe availability by releasing siderophores, organic acids, and mobilization
of Fe oxides. Soil Fe content in Dalbergia sissoo plantation forest was between 19.53 kg ha-1 (RS) and 17.46 kg ha-1(BS)
in monsoon season and 17.45 kg ha-1 (RS) and 12.58 kg ha-1 (BS) in the cold dry season. An estimated value of 40,000 kg
ha-1 of Fe is the standard value present in the agricultural land of 50 cm depth (Shenker and Chen, 2004). Therefore, the
value obtained in our study was below the threshold value. Thus its bioavailability for plant optimal growth was restricted.
Among the various abiotic factors, pH affects the availability of iron. During the cold dry season, pH was between 6.72
and 7 in RS and BS respectively whereas upon the onset of rains, it increased up to 8 in RS and 8.5 in BS. It is already
known that the increase in pH lowers the bioavailability of iron. (Rengel et al., 2015). A single unit increment in the soil
pH above neutral leads to a 95% decline in Fe accessibility to plants. At pH 7 or above, under aerobic conditions, the
248 Pragati Srivastava, Vandana Jaggi, Hemant Dasila & Manvika Sahgal
Impact Factor (JCC): 8.3083 NAAS Rating: 4.13
concentration of inorganic Fe in solution is 10 -10 M, which is many-fold lower than the amount required for optimal plant
growth (Romheld and Marschner 1986). The composition of soil microbial population also affects the solubility and
accessibility of Fe to plants (Becker and Asch, 2005).
Quantitatively, siderophore produced by five selected Pseudomonas strains in succinate broth was between 65-
90% SU, P. benzenevorans R2 (73.33%), P. paralactis R4 (68.33%), P. lini B6 (70.79), P. azotoformans B3 (82.66%),
and P. chlororaphis B9 (86.32%). The siderophore production was enhancing when the pH of medium was 7-11. The
probable reason is that the pH of medium regulates the dissolution and precipitation of Fe and its availability to the
growing bacteria.(Mengel 1994; Lindsay 1986; Columbo et al.,2016). The amount of siderophore produced in P.
benzenivorans strain R2 at pH 7 and pH 9 was 93.13% and 90.47% SU respectively. The siderophore yield in P. paralactis
strain R4 was 98.57% SU and P chlororaphis (B9) was 82.98 % SU. The siderophore yield in P. lini (B6) at pH 9 and
pH11 was 68.67 % and 92.56 % SU respectively. Alkaline pH of the medium decreases the solubility of iron thus making
it unavailable to the growing bacteria creating an iron-depleted environment suitable for siderophore production. P.
aeruginosa strain JAS-25 was grown best at pH 7 in King’s B medium, with the production of 130 μM of siderophore
(Sulochna et al., 2014).Similarly (Carlos et al., 2019) studied the iron chelating ability of five siderophore positive strains
in alkaline pH. Bacillus subtilis had the highest chelating capacity at pH 9. The optimum siderophore production in
Pseudomonas azotoformans strain B3 siderophore was achieved at pH 11. The addition of FeCl3 in the medium affected
the siderophore production. The addition of 25 μM FeCl3 resulted in a siderophore in the range of 10-30 %SU. Upon
increasing iron concentration, there was a steep decline in the % SU. This could be because once iron concentration in the
medium reached above the threshold value required for siderophore production, it negatively regulates iron acquisition
genes (Crichton., 2012; Tailor and Joshi.,2012; Ganesapilli and Sinha.,2015). For example, siderophore production by
two P. aeruginosa strains RSP5 and RSP8 in SSM medium without added iron was 134 μg/ml, and 210 μg/ml respectively
and with 20 μM Fe, 10 μg/ml, and 75 μg/ml respectively (Sah et al., 2017). In contrast, the production of siderophore by
Pseudomonas fluorescence SSM medium is independent of iron in the medium (Nair et al 2007; Bholay et al., 2012;
Sinha et al., 2018). Of the four nitrogen sources amended in succinate medium, the addition of ammonium nitrate
enhanced siderophore production in strains.
All the five, selected Pseudomonas strains from this study were able to synthesize siderophore efficiently in the
presence of heavy metal, MnCl2. Apart from MnCl2 other metals were negatively correlated with siderophore production in
all the strains. Previously Berraho et al. (1997) studied the effect of heavy metals on siderophore production and reported
that the addition of 100 μM of Mo and Mn concentration enhanced the siderophore production by up to 45 % and 100%
respectively. The possible reason for enhanced siderophore production in the presence of heavy metals is the ability of
Mn2+ to substitute for Fe2+ in the intracellular spaces inside the cell to control siderophore synthesis (Williams, 1982).
Baysee et al 2000 described that fluorescent pseudomonas can form complexes with other metals at a lower affinity than
Fe’ hence these strains can be suitable for bioremediation of metal contaminated soils. Major findings of the study include
that these five strains have major nutritional requirements which can be utilized for commercialization as bio-inoculants.
Major factors like pH, Fe concentration and Ammonium nitrate influencing siderophore production can be further
optimized using statistical software for scaling up siderophore production using batch fermenters.
Identification and Characterisation of Siderophore Positive Pseudomonas from North 249
Indian Rosewood (Dalbergia Sissoo) Forest Ecosystem
www.tjprc.org [email protected]
(a) (b)
Figure 4(a): Effect of pH on Siderophore Production Figure 4(b): Effect of Iron Concentration on Siderophore
Production
(c) (d)
(e)
Figure 4(c): Effect of Carbon Sources 4(d) Nitrogen Source 4(e) Heavy Metals Concentration on Siderophore
Production
CONCLUSIONS
The present study elucidates that different species belonging to the genus Pseudomonas have specific optimal conditions
for siderophore production. The siderophore production by strains was higher in iron-deficient SSM broth as revealed in
higher % SU. During optimization studies, Among the various abiotic factors tested, pH and Fe concentration were
influencing siderophore production. Upon maintaining the pH of SSM broth between7-9, a marked increment in % SU was
observed, minimal or no iron was required to initiate siderophore production. Ammonium sulphate itself in the SSM broth
250 Pragati Srivastava, Vandana Jaggi, Hemant Dasila & Manvika Sahgal
Impact Factor (JCC): 8.3083 NAAS Rating: 4.13
served as an efficient utilizable N source rather than other amended N sources. These optimization results could be utilized
at large scale production of siderophore and can be effectively used as an iron inoculant in iron deprived soil. The
Pseudomonas strains from Dalbergia sissoo Roxb. plantation ecosystem can be used as an effective bio-inoculant to
protect this natural perennial heritage sissoo. The availability of siderophore-producing bacteria in the rhizosphere region is
worthy of importance in agriculture, providing iron to the plants and preventing the growth of phytopathogens which are
iron-dependent. To our knowledge, this is the first report on siderophore-producing bacteria from Dalbergia sissoo forest
ecosystem. Since the application of siderophore-producing bacteria as bio-inoculant is of immense importance in a agro-
ecosystem as well as tree based agroforestry ecosystem to improve yield and maintain soil fertility level, the findings of
this study are highly significant.
Conflict of Interest: The authors declare that they have no conflict of interest.
Acknowledgement: Authors thanks Dr Laksmi Tewari (Head of Department), Department of Microbiology GBPUA&T,
Pantnagar Uttarakhand for providing facilities and working environment. We would like to express our gratitude to the
expert of Agroforestry Dr Salil Tewari (Head of Department), Department of Genetics & Plant Breeding, GBPUA&T,
Pantnagar Uttarakhand .
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