ORIGINAL RESEARCH article

Front. Microbiol., 07 November 2022

Sec. Evolutionary and Genomic Microbiology

Volume 13 - 2022 | https://doi.org/10.3389/fmicb.2022.998821

Whole genome analysis for plant growth promotion profiling of Pantoea agglomerans CPHN2, a non-rhizobial nodule endophyte

  • 1. Department of Microbiology, Maharshi Dayanand University, Rohtak, India

  • 2. Centre for Bioinformatics, Maharshi Dayanand University, Rohtak, India

  • 3. Centre for Medical Biotechnology, Maharshi Dayanand University, Rohtak, India

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Abstract

Reduced agricultural production as well as issues like nutrient-depleted soils, eutrophication, and groundwater contamination have drawn attention to the use of endophyte-based bioformulations to restore soil fertility. Pantoea agglomerans CPHN2, a non-rhizobial nodule endophyte isolated from Cicer arietinum, exhibited a variety of plant growth-promoting traits. In this study, we used NextSeq500 technology to analyze whole-genome sequence information of this plant growth-promoting endophytic bacteria. The genome of P. agglomerans CPHN2 has a length of 4,839,532 bp and a G + C content of 55.2%. The whole genome comprises three different genomic fractions, comprising one circular chromosome and two circular plasmids. A comparative analysis between P. agglomerans CPHN2 and 10 genetically similar strains was performed using a bacterial pan-genome pipeline. All the predicted and annotated gene sequences for plant growth promotions (PGPs), such as phosphate solubilization, siderophore synthesis, nitrogen metabolism, and indole-3-acetic acid (IAA) of P. agglomerans CPHN2, were identified. The whole-genome analysis of P. agglomerans CPHN2 provides an insight into the mechanisms underlying PGP by endophytes and its potential applications as a biofertilizer.

Overview of Pantoea agglomerans CPHN2 whole genome study and pathway analysis.

Introduction

Pantoea, a highly versatile member of family Enterobacteriaceae, capable of adapting to diverse range of environment conditions, has more than twenty recognized species assigned to it (Walterson and Stavrinides, 2015). It has also been reported that, in addition to inhabiting a variety of hosts as parasites, Pantoea occurs as a mutualistic associate, exhibiting the true versatility of its nature. It has been isolated from different habitats, such as soil, water, plants, humans, and animals (Lee et al., 2010; Walterson and Stavrinides, 2015). Pantoea was previously considered an enemy because of its pathogenicity, but it is now recognized as a friend after the establishment of its beneficial effects such as its potential for biocontrol and plant growth promotion (PGP) (Dutkiewicz et al., 2016; Kukreti et al., 2020; Agri et al., 2021, 2022).

Pantoea agglomerans CPHN2, non-rhizobial plant growth promoting endophytic bacteria (PGPEB) was isolated from Cicer arietinum nodules. This strain possessed the ability to produce ammonia, phytohormone indole-3-acetic acid (IAA), and also able to solubilise phosphate (Maheshwari et al., 2019; Rani et al., 2021). Indole acetic acid (IAA), an important phytohormone, plays a crucial role in plant physiology and development. Under optimized conditions, this strain was also able to produce high amount of IAA (unpublished). Multiple IAA biosynthetic pathways have been reported in both PGPEBs and plants. These pathways can be characterized by metabolic intermediates, enzymes, and mutants or by genomic studies (Duca et al., 2014; Navarro-Torre et al., 2017; Chi et al., 2018; Duca and Glick, 2020; Dudeja et al., 2021).

Whole-genome shotgun (WGS) sequencing provides insights into complete data of chromosomes and helps in the identification of significant target genes in terms of PGP activity in addition to yielding information on their interactions with plants. Recently, a large number of whole-genome sequences of PGPEBs, such as Bacillus, Pseudomonas, Pantoea, and Enterobacter, have been studied (Verheggen et al., 2016). In the present study, whole-genome sequencing of P. agglomerans CPHN2 was carried out with the aim of unraveling the underlying molecular mechanisms, functional potential, and taxonomy. Comparative genomics was carried out by evaluating its proximity to related strains and by comparing its whole genome to 10 closely related strains in terms of the core and pan-genomes.

Materials and methods

Bacterial sample

Pantoea agglomerans CPHN2 for this study was taken from the Plant Microbe Interaction Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak. The isolate was initially grown at 30°C ± 2°C on tryptone soya agar (TSA) medium and then purified.

Genome sequencing and annotations

The colonies were sent for whole genome sequencing to Eurofins Genomics India Pvt. Ltd. Bacterial deoxyribonucleic acid (DNA) was isolated from pure culture using the Quick-DNA Miniprep Plus kit (Zymo Research), according to the kit procedure. The quality and quantity of the extracted genomic DNA (gDNA) were tested using the NanoDrop Spectrophotometer.

The whole genome was sequenced using the Illumina NextSeq500 platform. The paired-end (PE) sequencing library was constructed from 1 mg of genomic DNA samples using the illuminaTruSeq Nano DNA Library Prep kit as per the manufacturer's protocol. The quality of raw reads was checked with FastQC v0.11.8 (Andrews, 2010) and filtered and trimmed with fastp v0.201 (Chen et al., 2018), and de novo genome assemblies were performed with Shovill v1.0.4 (Seemann, 2017). Genome identification and annotations were performed with Galaxy (https://usegalaxy.org/) as well as with RAST (https://rast.nmpdr.org/). Several general features of genomes such as transfer ribonucleic acid (tRNA) and ribosomal RNA (rRNA) were filtered and reported using the in-house script provided by the annotation tools. The annotated genes were then analyzed to determine their role in IAA production and in other plant growth-promoting pathways.

Whole-genome and pan-genome analysis

The genome of P. agglomerans CPHN2 was compared to 10 closely related genomes available in NCBI databases using 16s rRNA with WGS contigs. Several genomic features, such as genome size, gene number, GC content, and the number of tRNAs and rRNA, were compared. BRIG 0.95 was used to construct a pairwise genomic alignment of all the 11 strains and an out-group (Alikhan et al., 2011).

To study the rearrangement and alignment of genomes, P. agglomerans CPHN2 (draft genome) was compared with P. agglomerans FDAARGOS1447 (GenBank accession no. CP077366.1) using the Mauve program in Mauve v 2.3.1 (Darling et al., 2004). By taking the genome of P. agglomerans CPHN2 and its 10 neighbor strains, BPGA was used to perform pan-genome analysis (Chaudhari et al., 2016) to identify strain-specific and core genes (Shariati et al., 2017; Pinski et al., 2020).

Pathway analysis

To determine the presence of specific pathways for plant growth-promoting traits, annotated and predicted gene sequences were evaluated. The ascribed gene functions were manually analyzed from previously reported studies (Glick, 2012; Ahemad and Kibret, 2014; Ke et al., 2016; Liu et al., 2016; Dudeja et al., 2021) and compared with the relevant pathways available in the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway databases (https://www.genome.jp/kegg/pathway.html).

Results

P. agglomerans CPHN2 sequencing statistics

Illumina NextSeq500 technology was used to sequence the whole genome of P. agglomerans CPHN2, which resulted in 100-fold coverage. In total, 9,731,611 PE reads with a minimum length of 100 bp were filtered for low-quality sequences (reads with more than 10% quality threshold (QV) 20 Phred score) and ambiguous reads (reads with unknown nucleotides “N” >5%) (Supplementary Table 1). Finally, in the downstream analysis, a total of 2,898,434,450 bp were used. The reads were assembled, and the total length of 4,839,532 bp was generated. In the final assembly, a total of 32 contigs were obtained, each with a total of 4,424 coding sequences (CDS), including N50 of size 558,390 bp (Supplementary Table 2).

Genomic characteristics of P. agglomerans CPHN2 and comparative genomic analysis

Pantoea agglomerans CPHN2 has a single circular chromosome approximately 4.8 Mbp long, with a GC content of 55.2% and two plasmids. RAST (https://rast.nmpdr.org/) was used to predict a total of 4,468 putative CDS (Figure 1). The chromosomal sequence predicted 71 tRNA-coding genes, one rRNA gene, and one CRISPR. The closely related genome of P. agglomerans FDAARGOS 1447 was used as the reference genome for preliminary comparative analysis based on 16S rRNA sequences. The ordered genome assembly of CPHN2 and strain FDAARGOS 1447 (GenBank accession no. CP077366.1) were compared with progressive Mauve from Mauvev 2.3.1 software. The genomic alignment identified 12 collinear blocks, as well as many inversion and rearrangement sites (Figure 2). By mapping most of the portions of the two genomes, large areas of high similarity were observed, indicating that the chromosome alignments of both strains are approximately identical. However, a region in the chromosome scaffolding between contigs 4–9 and 11 has an inverted orientation, indicating differences in their synteny relationships. In addition, the genomic features of P. agglomerans CPHN2 and 10 closely related genomes were analyzed based on genome size, the number of genes, the predicted CDS, GC content distribution, and the number of tRNA and rRNA genes (Figures 3A,B, Table 1). The genome size of CPHN2 was lower than that of the strains BI3, Pa31 3, and CFBP13516 with a genome size of more than 5 Mb. Of these, Pa31_3 has approximately the genome size of 5.0964 Mb, which is relatively large among all genomes. The draft genome of CPHN2 has 83 unique CDS (Figures 4A,B).

Figure 1

Figure 2

Figure 3

Table 1

StrainCPHN2ASD05BAV 2934BD 1212BI3CFBP13516E325FDAARGOS1447NCTC10500Pa31_3T1
TaxonomyBacteria; Proteobacteria; Gammaproteobacteria; Enterobacterales; Erwiniaceae; Pantoea; Pantoea agglomerans group; Pantoea agglomerans
Taxonomy ID549
Size (mb)4,839,7574.85864.94494.87545.04775.02624.80384.6924.65555.09644.5307
GC content (%)55.25554.955.155.254.855.255.155.25555.4
N50558,3904,022,7814,003,977125,314418,672186,387337,5683,999,686460,684294,86722,549,703
L50211133841161
Number of contigs (with PEGs)32451032454963410517
Number of subsystems529340337345349354341337340345334
Number of coding sequences4,4244,6554,7544,7454,9174,9744,6334,4614,4645,0494,258
Number of RNAs8498975683769298988574

Pantoea agglomerans strains genome used for comparative study.

Figure 4

Intra-species phylogenetic tree analysis

The phylogenetic relationships of P. agglomerans CPHN2 and 10 other P. agglomerans strains were shown separately based on the pan genome (Figure 5A) and the core genome (Figure 5B). This analysis depicted P. agglomerans strain CPHN2, genetically close to the NCTC10500 and T1 genomes, clustered in the same clade based on the pan-genome. The analysis also revealed a distant phylogenetic relationship between the strain FDAARGOS 1447 and other strains. In a core-genome-based phylogenetic study, CPHN2 did not cluster in any clade, while FDAARGOS 1447 clustered along with BI3 and CFBP13516 (Figure 5).

Figure 5

Carbohydrate metabolism

The CPHN2 genome comprises a number of carbohydrate metabolism subsystems that encompass around 12.7% of the coding area. The genome has a number of metabolic pathways for carbohydrate metabolisms such as glycolysis, gluconeogenesis, Entner–Doudoroff, the tricarboxylic acid (TCA) cycle, the pentose phosphate pathway, and acetyl CoA fermentation. It also has genes that metabolize the amount of other sugars and their derivatives (Supplementary Table 3).

Genes involved in plant growth stimulation

Genes involved in the solubilization of phosphates and in the production of organic acids, siderophores, ammonia, and indole acetic acid (IAA) have been annotated and identified in the P. agglomerans CPHN2 genome (Glick, 2012; Ahemad and Kibret, 2014; Liu et al., 2016).

Phosphate and organic acids

It is well-known that, after being applied as a fertilizer, a significant portion of inorganic phosphates is immobilized, leaving the phosphate unavailable to plants (Xie et al., 2016). As a consequence, it is crucial for some bacterial species to produce acid phosphatases and organic acids, notably gluconic acid (GA), and to solubilize insoluble or poorly soluble mineral phosphates (Rodríguez et al., 2007). GA is a kind of organic acid that aids in converting the immobilized mineral phosphates that contain phosphorus into a biologically available form. Glucose-1-dehydrogenase (gcd) along with its cofactor, pyrrolo-quinolone quinine (pqq), catalyzes the synthesis of GA. Gluconate dehydrogenase is another enzyme that also helps in the production of GA and its conversion to 2-ketogluconate (Ramachandran et al., 2006; Eastman et al., 2014). CPHN2 genomic annotation showed the existence of a number of GA and cofactor genes, including pqqABCDE (Eastman et al., 2014).

Phosphonates, which are organophosphorus molecules, have a direct carbon–phosphorus (C–P) bond instead of a typical C–O–P linkage that is often observed in phosphate esters (C–O–P) (Parker et al., 1999). Bacterial breakdown of phosphonates results in the release of physiologically available phosphates, which are controlled by the phosphonate-related phn gene cluster. CPHN2 has numerous phn genes, including phnCDFGHIJKLMNOPRV, which catalyze the hydrolysis of phosphonate into phosphate and an alkane, according to genomic analysis. Phosphorus compounds must be transported across the plasma membrane before they may be used. Two high-affinity phosphate transport systems, pstBAC (phosphate transporter) and phnDC (phosphate dehydrogenase), have also been observed in the CPHN2 genome (phosphonate transporter) (Figure 6, Table 2, Supplementary Table 4).

Figure 6

Table 2

Gene nameGene product
gcdQuinoprotein glucose dehydrogenase
pqqBCoenzyme PQQ synthesis protein B
pqqCPyrroloquinoline-quinone synthase
pqqDpqqA binding protein
pqqEpqqA peptide cyclase
pstAPhosphate transport system permease protein pstA
pstBPhosphate-import ATP-binding protein pstB
pstCPhosphate transport system permease protein pstC
pstSPhosphate-binding protein pstS
phnCPhosphate-import ATP-binding protein
phnDPhosphate-import
phnFprotein for transcriptional regulator
phnGHIAlpha-D-ribose 1-methylphosphonate 5-triphosphate synthase
phnJAlpha-D-ribose 1-methylphosphonate 5-phosphate C-P lyase
phnKPutative phosphonates utilization ATP-binding protein
phnLAlpha-D-ribose 1-methylphosphonate 5-triphosphate diphosphatase
phnMAlpha-D-ribose 1-methylphosphonate 5-triphosphate diphosphatase
phnNRibose 1,5-bisphosphate phosphokinase
phnON-acetyltransferase
phnPPhosphoribosyl 1,2-cyclic phosphate phosphodiesterase
phnRVtranscriptional regulator of degradation operons for 2-aminoethylphosphonate
phnVtransport system permease protein responsible for 2-aminoethylphosphonate

P. agglomerans strain CPHN2 genomic annotation for phosphate solubilization.

Hydrogen sulfide (H2S) has emerged as an essential chemical for phosphate solubilization. H2S interacts with ferric phosphate to produce ferrous sulfate and release phosphate. The CPHN2 genome encodes a collection of genes involved in H2S production (Table 3), including a cluster of cys genes involved in reduction, transportation, protein binding, and acetyl and adenyl group transfer. The CPHN2 genome also has genes related to sulfur metabolism: mineralization and transport of sulfite, sulfate, and phosphoadenosine phosphosulfate.

Table 3

Gene nameGene product
cysESerine acetyltransferase
cysJSulfite reductase [NADPH] flavoprotein alpha-component
cysQ3′(2′),5′-bisphosphate nucleotidase CysQ
cysSCysteine–tRNA ligase
cysBHTH-type transcriptional regulator CysB
cysGSiroheme synthase
cysLHTH-type transcriptional regulator CysL
cysZSulfate transporter CysZ
cysMCysteine synthase B
cysASulfate/thiosulfate import ATP-binding protein CysA
cysWSulfate transport system permease protein CysW
cysTSulfate transport system permease protein CysT
cysPThiosulfate-binding protein
cysCAdenylyl-sulfate kinase
cysNSulfate adenylyl transferase subunit 1
cysDSulfate adenylyl transferase subunit 2
cysHPhosphoadenosine phosphosulfate reductase
cysISulfite reductase [NADPH] hemoprotein beta-component
cysJSulfite reductase [NADPH] flavoprotein alpha-component

P. agglomerans strain CPHN2 genomic annotation for sulfate metabolism.

Siderophores

High-affinity iron chelating compounds have been shown to be produced mostly by plant-associated bacterial strains (de Souza et al., 2015) and may assist them by collecting iron from the environment (Niazi et al., 2014). CPHN2 has the ability to synthesize an enterobactin siderophore, and the entABCEF genes for the same have been annotated. This siderophore is responsible for the recovery of iron through complex formation once it is exported from the cell by entS. P. agglomerans. CPHN2 also has many receptors for siderophores, mbtH, an efflux pump protein, which helps in transport, and fhuABCDEF, which helps in transport and binding (Figure 6, Table 4, Supplementary Table 4).

Table 4

Gene nameGene product
fhuAFerrichrome outer-membrane transporter/phage receptor
fhuBIron (3+)-hydroxamate import system permease protein
fhuCIron (3+)-hydroxamate import ATP-binding protein
fhuDIron (3+)-hydroxamate-binding protein
fhuEReceptor
fhuFFerric iron reductase protein
entA2,3-dihydro-2,3-dihydroxybenzoate dehydrogenase
entBCEEnterobactin synthase
entSExporter
mbtHefflux pump protein that helps in transport

P. agglomerans strain CPHN2 genomic annotation for siderophore production.

Nitrogen metabolism

Ammonia production, another important trait of PGPEB, indirectly promotes plant growth and biomass accumulation. Our genomic study has shown that CPHN2 includes narP, narJ, and narL, which converts atmospheric nitrogen to nitrite, as well as nirB and nirD, nitrite to nitrate, and nrtA is responsible for nitrate transportation (Figure 7, Table 5, Supplementary Table 4).

Figure 7

Table 5

Gene nameGene product
narQNitrate/nitrite sensor protein narQ
narLNitrate/nitrite response regulator protein narL
narIRespiratory nitrate reductase 1 gamma chain
narJNitrate reductase molybdenum cofactor assembly chaperone narJ
narHRespiratory nitrate reductase 1 beta chain
narGRespiratory nitrate reductase 1 alpha chain
narKNitrate/nitrite transporter nark
nirDNitrite reductase (NADH) small subunit

P. agglomerans strain CPHN2 genomic annotation for dissimilatory nitrate reduction.

Indole-3-acetic acid

Endophytic bacteria produce indole-3-acetic acid (IAA), which is necessary for plant development processes and play an important role in plant–microbe interactions. Four tryptophan-dependent pathways, namely, indole-3-acetamide (IAM), indole-3-pyruvic acid (IPA), tryptamine (TAM), and indole-3-acetaldoxime (IAOx), are involved in the biosynthesis of IAA present in bacteria. The indole-3-pyruvate decarboxylase (ipdC) gene is present in CPHN2 and is involved in the conversion of indole-3-pyruvate to IAA in the IPA pathway. The iaaM and iaaH genes were involved in the synthesis of IAA using the IAM pathway. Of these, only the iaaH gene is present in the CPHN2 genome. These data show that IPA is the sole route for the synthesis of IAA using this strain (Figure 8, Supplementary Table 4).

Figure 8

Chemotaxis, motility, and attachment of genes

In the whole genome of CPHN2, genes, such as the cluster of fli gene (fliAEFGHIJMNOPQRSTYZ), sec gene (secABDEFGMY), mgl gene (mglABC), rbs gene (rbsABCDKR), che gene (cheABRVWYZ), lapAB, motAB, lapAB, pilQ, rfbX, oprBM, pal, epsF, and sctC, responsible for endophytic behavior, like chemotaxis movement and attachment to the host, have been annotated (Table 6, Supplementary Table 4).

Table 6

Gene nameGene product
fliARNA polymerase sigma factor
fliEFlagellar hook-basal body complex protein
fliFFlagellar M-ring protein
fliGFlagellar motor switch protein
fliHFlagellar assembly protein
fliIFlagellum-specific ATP synthase
fliJFlagellar FliJ protein
fliMFlagellar motor switch protein
fliNFlagellar motor switch protein
fliOFlagellar protein
fliPFlagellar biosynthetic protein
fliQFlagellar biosynthetic protein
fliRFlagellar biosynthetic protein
fliSFlagellar secretion chaperone
fliTFlagellar protein
fliYL-cystine-binding protein
fliZRegulator of sigma S factor
mglAGalactose/methyl galactoside import ATP-binding protein
mglBD-galactose-binding periplasmic protein
mglCGalactoside transport system permease protein
pilQType IV pilus biogenesis and competence protein
rbsARibose import ATP-binding protein
rbsBRibose import binding protein
rbsCRibose import permease protein
rbsDD-ribose pyranase
rbsKRibokinase
rbsRRibose operon repressor
cheAChemotaxis protein
cheBProtein-glutamate methylesterase/protein-glutamine glutaminase
cheRChemotaxis protein methyltransferase
cheVChemotaxis protein
cheWChemotaxis protein
cheYChemotaxis protein
cheZProtein phosphatase
lapALipopolysaccharide assembly protein A
lapBLipopolysaccharide assembly protein B
motAMotility protein A
motBMotility protein B
lapALipopolysaccharide assembly protein A
lapBLipopolysaccharide assembly protein B
pilQType IV pilus biogenesis and competence protein
rfbXPutative O-antigen transporter
celYMinor endoglucanase Y
oprBPorin B
oprMOuter membrane protein oprM
secAProtein translocase subunit secA
secBProtein-export protein secB
secDProtein translocase subunit secD
secEProtein translocase subunit secE
secFProtein translocase subunit secF
secGProtein-export membrane protein secG
secMSecretion monitor
secYProtein translocase subunit secY
sctCType 3 secretion system secretin
palPeptidoglycan-associated lipoprotein
epsFType II secretion system protein F

P. agglomerans strain CPHN2 genomic annotation for chemotaxis, motility, and attachment.

Discussion

Plant-associated endophytic microbes have evolved unique biosynthetic pathways to aid in their interactions with their host. These different metabolites of endophytic origin promote plant growth; therefore, their genomic studies recently gained substantial interest (Patel et al., 2016; Kandel et al., 2022). In our previous study, we isolated non-rhizobial endophytic bacteria P. agglomerans CPHN2, which possessed multiple plant growth-promoting traits such as the production of ammonia, siderophores, and IAA, and phosphate solubilization (Maheshwari et al., 2019) and produced a high amount of IAA under optimized conditions (Unpublished). Genomic mining of their genes might help us develop commercial bioinoculants so as to reduce the use of chemical fertilizers. The presence of these positive traits in P. agglomerans CPHN2 prompted whole-genome sequencing and genomic annotations. The genome of P. agglomerans CPHN2 was also compared with the already reported genomic sequences of 10 strains to unravel the similarities between the two. A phylogenetic tree constructed based on the pan-genome showed that P. agglomerans CPHN2, NCTC10500, and T1 belonged to the same clade (Figure 4). This indicates that these isolates share a large set of similar genes. Core-genome-based phylogenetic tree shows that these two strains NCTC10500 and T1 belong to the same clade but CPHN2 has a separate niche. The closely related FDAARGOS 1447 was present in a separate niche upon the pan-genome analysis and in a clade upon the core-genome analysis.

Genomic mining of CPHN2 supported a previous study on its ability to possess multiple PGP traits and promote plant growth (Maheshwari et al., 2019). Analysis of CPHN2 provided clues to the presence of specific genes for phosphate solubilization, nitrogen metabolism, and the production of siderophores and IAA. PGPR promotes plant growth by solubilizing the phosphate mineral and making it accessible to plants. They employed different solubilization mechanisms, either through the production of extracellular enzymes or by the release of organic acids, protons, and hydroxyl ions. Phosphate-solubilizing bacteria such as Bacillus, Pseudomonas, and Pantoea are reported to release GA most commonly (Rodríguez et al., 2007). It has also been reported that Enterobacter asburiae mutants, which lack glucose dehydrogenase (GDH) activity, were unable to release phosphate (Gyaneshwar et al., 1999). Analysis of the CPHN2 genome revealed the presence of the genes gcd and pqq responsible for the synthesis of GA and the solubilization of inorganic mineral phosphates.

Microorganisms have also evolved mechanisms to use other sources of phosphorous, such as phosphonates, during phosphate starvation. Enzymes involved in phosphonate catabolic pathways are conserved and encoded by ortholog genes in bacteria. The strain CPHN2 has phn genes like phnCDFGHIJKLMNOPRV responsible for phosphate solubilization. phnCD is a gene for phosphate-import protein, phnF is a gene for transcriptional regulation, phnGHILMNOP is a gene for the involvement of enzymes in the phosphonate degradation pathway, and phnRV is a gene for transcriptional regulation of degrading operons, and phnV is a gene for permease protein. The strain CPHN2 also has pstABCS genes, which are responsible for phosphate binding, import, and transportation. Such similar clusters have also been reported for phosphonate binding, transport, and degradation in Escherichia coli and P. agglomerans strain P5 (Metcalf and Wanner, 1993; Shariati et al., 2017).

Siderophores are low molecular weight compounds, which are produced by a large number of bacterial endophytes to scavenge iron under iron-destitute state. Siderophore production is an important plant growth-promoting trait as it helps the microbes to obtain iron, which in turn is directly transferred to plants and indirectly suppresses the growth of phytopathogens. In addition to this, genes associated with the transport and production of siderophores are also present. fhuABCDEF genes are responsible for binding and transport, entA gene is for 2,3-dihydro-2,3-dihydroxybenzoate dehydrogenase, entBCE gene is for Enterobactin synthase, entS gene is an exporter, and mbtH gene is an efflux pump protein that helps in transport. Along with this, we were also able to find out the cytoplasmic membrane and periplasmic proteins involved in the uptake of siderophores (Stevens et al., 1999) and tonB-dependent outer-membrane receptors are coded for by the fhuDCB operon in Rhizobium (Shariati et al., 2017). In addition to this, CPHN2 is also capable of carrying out dissimilatory nitrate reduction. It is a two-step process in which, during anoxic conditions, nitrate acts as an electron acceptor and is converted to ammonia. The main enzymes involved are nitrate reductase (encoded by narGHIJ) and nitrite reductase (nirD).

Several endophytic bacterial genera are known to produce phytohormones, the most common of which is IAA. Multiple pathways have been used by both plants as well as bacteria for the biosynthesis of IAA (Spaepen et al., 2007). There are several pathways in which the amino acid tryptophan is a direct precursor of IAA and modulates the level of IAA synthesis (Zaidi et al., 2009). Among all these Trp-dependent pathways, IAM and IPA pathways are widespread among bacteria (Mano and Nemoto, 2012). The IAM pathway is common among phytopathogens such as Pseudomonas syringae, Agrobacterium tumefaciens, and Agrobacterium rhizogenes (Szkop and Bielawski, 2013), while most PGPRs such as Pseudomonas putida, Enterobacter cloacae, and Azospirillum brasilense use the IPA pathway for the biosynthesis of IAA. The IPA pathway has been well-characterized in bacteria, and the conversion of indole-3-pyruvate to indole-3-acetaldehyde by ipdC is the rate-limiting step (Zhao, 2010). The expression of the key gene ipdC has been found to increase in P. agglomerans while growing on the surfaces of plants, depicting an interesting case of interaction between plants and microbes (Jasim et al., 2014). This study also aimed to identify the complete IAA biosynthetic pathways in CPHN2. Genomic mining revealed the presence of all the genes, including the involvement of the key gene ipdC in the IPA pathway. A previous study on the genomic study of P. agglomerans strain P5 revealed that IAM was the only pathway for the production of IAA (Shariati et al., 2017). Meanwhile, our CPHN2 has an incomplete IAM pathway in which the iaaH gene is present.

Endophytic colonization is a conglomerate of processes such as entry to the host plant, growth on to the plant, and subsequent multiplication there. Root exudates are various chemicals, ranging from organic acids and amino acids to sugars, which help in the recruitment of bacterial endophytes from a pool of rhizospheric bacteria. According to our annotation, CPHN2 contains the cluster of FLI proteins, which are responsible for the production of the flagellar protein and motor system. It also has a cluster of che, mgl, and rbs genes, responsible for galactose and ribose binding, transport, and chemotaxis, as previously reported (Harayama et al., 1983; Barroga et al., 1996). In addition, the Sec gene cluster responsible for protein translocation, export, and monitoring was also found to be present.

The lip, pil, rfb, cel, opr, sct, and pal genes were also annotated in CPHN2. Previous studies reported the role of these genes in chemotaxis, motility, adhesion, pilli formation, dehydratase synthesis, and porin creation in the outer membrane and in the formation of exopolysaccharides (EPSs). Recent studies demonstrated that endophytic bacteria frequently secrete EPSs for their adherence to the root surface (Dudeja et al., 2021). EPS also decreases the concentration of free radicals in the plant cell wall and protects cells against oxidative stress. CPHN2 also carries the gene for the production of EPS.

As members of the genus Pantoea were previously recognized as phytopathogens causing wilting and necrosis, we also analyzed the presence of the type III secretion system (T3SSs) coded by the hrc/hrp gene cluster responsible for pathogenicity. A large number of Gram-negative bacteria use this secretion system to convey effector molecules directly to the cytosol of their host. Several studies reported the role of the whole hrc/hrp gene cluster in pathogenicity and hypersensitive response in plants (Buonaurio et al., 2015; Shariati et al., 2017). However, CPHN2 does not contain the complete gene cluster and lacks pathogenicity. The study also revealed the occurrence of only one pathway, i.e., IPA pathway, associated with useful bacteria for the production of IAA, out of the five pathways reported in bacteria. Therefore, this study provides in-depth information about genomic pathways and helps in understanding the mechanisms of PGP by endophytic bacteria.

Conclusion

Genomic analysis of P. agglomerans CPHN2 revealed the presence of several genes engaged in PGPs, such as phosphate solubilization and nitrate reduction, and in the production of siderophores and IAA. Moreover, it has genes related to chemotaxis, motility, adhesion, and pilli formation, which are required for effective colonization. It lacks the complete pathogenic gene cluster. This research provides insights into the plant growth-promoting ability of CPHN2 and highlights its potential as a biofertilizer. Therefore, this strain is deemed safe and can be further explored as a bioinoculant. However, more research is needed to provide a detailed interpretation of the functions and the regulation of these genes.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Statements

Data availability statement

The whole genome of P. agglomerans CPHN2 has been deposited in GenBank under Accession nos. CP098412, CP098413 for plasmids, and CP098414 for genome and is annotated by a prokaryotic genomic annotation pipeline (PGAP) (Kumar et al., 2022) (Tatusova et al., 2016; Kumar et al., 2022). Bio Project accession number PRJNA811747 (Sequence Read Archive Accession No. SRR18189611) (https://www.ncbi.nlm.nih.gov/sra/SRR18189611).

Author contributions

PK: data curation, investigation, methodology, software, validation, visualization, and writing–original draft. SR and PD: formal analysis, writing, and software analysis. AK, AD, and PS: conceptualization, funding acquisition, supervision, validation, and writing–review and editing. All authors contributed to the article and approved the submitted version.

Acknowledgments

PK, SR, and PD would like to acknowledge the Council of Scientific and Industrial Research, New Delhi, India, for the CSIR fellowship. PS acknowledges support from the Department of Science and Technology (DST), Government of India, New Delhi. The authors would like to acknowledge the Department of Science and Technology, Government of India, for providing a FIST grant (Grant No. 1196 SR/FST/LS-I/2017/4) to the Department of Microbiology, MDU, Rohtak.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2022.998821/full#supplementary-material

References

  • 1

    AgriU.ChaudharyP.SharmaA. (2021). In vitro compatibility evaluation of agriusable nanochitosan on beneficial plant growth-promoting rhizobacteria and maize plant. Natl. Acad. Sci. Lett.44, 555559. 10.1007/s40009-021-01047-w

  • 2

    AgriU.ChaudharyP.SharmaA.KukretiB. (2022). Physiological response of maize plants and its rhizospheric microbiome under the influence of potential bioinoculants and nanochitosan. Plant Soil474, 451468. 10.1007/s11104-022-05351-2

  • 3

    AhemadM.KibretM. (2014). Mechanisms and applications of plant growth promoting rhizobacteria: current perspective. J. King Saud Univ. Sci.26, 120. 10.1016/j.jksus.2013.05.001

  • 4

    AlikhanN. F.PettyN. K.Ben ZakourN. L.BeatsonS. A. (2011). BLAST ring image generator (BRIG): simple prokaryote genome comparisons. BMC Genomics12, 110. 10.1186/1471-2164-12-402

  • 5

    AndrewsS. (2010). Data from: FastQC: A Quality Control Tool for High Throughput Sequence Data. Available online at: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=17.+Andrews+S.+2010.+FastQC%3A+a+quality+control+tool+for+high+throughput+sequence+data.+http%3A%2F%2F (accessed April 4, 2022).

  • 6

    BarrogaC. F.ZhangH.WajihN.BouyerJ. H.HermodsonM. A. (1996). The proteins encoded by the rbs operon of Escherichia coli: I. Overproduction, purification, characterization, and functional analysis of RbsA. Protein Sci. 5, 10931099. 10.1002/PRO.5560050611

  • 7

    BuonaurioR.MorettiC.Da SilvaD. P.CorteseC.RamosC.VenturiV. (2015). The olive knot disease as a model to study the role of interspecies bacterial communities in plant disease. Front. Plant Sci.6, 434. 10.3389/fpls.2015.00434

  • 8

    ChaudhariN. M.GuptaV. K.DuttaC. (2016). BPGA- an ultra-fast pan-genome analysis pipeline. Sci. Rep.6, 110. 10.1038/srep24373

  • 9

    ChenS.ZhouY.ChenY.GuJ. (2018). fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics34, i884i890. 10.1093/bioinformatics/bty560

  • 10

    ChiH.LiuC.YangH.ZengW. F.WuL.ZhouW. J.et al. (2018). Comprehensive identification of peptides in tandem mass spectra using an efficient open search engine. Nat. Biotechnol. 36, 10591061. 10.1038/nbt.4236

  • 11

    DarlingA. C. E.MauB.BlattnerF. R.PernaN. T. (2004). Mauve: multiple alignment of conserved genomic sequence with rearrangements. Genome Res.14, 1394. 10.1101/gr.2289704

  • 12

    de SouzaR.AmbrosiniA.PassagliaL. M. P. (2015). Plant growth-promoting bacteria as inoculants in agricultural soils. Genet. Mol. Biol.38, 401419. 10.1590/S1415-475738420150053

  • 13

    DucaD.LorvJ.PattenC. L.RoseD.GlickB. R. (2014). Indole-3-acetic acid in plant-microbe interactions. Antonie Van Leeuwenhoek.106, 85125. 10.1007/s10482-013-0095-y

  • 14

    DucaD. R.GlickB. R. (2020). Indole-3-acetic acid biosynthesis and its regulation in plant-associated bacteria. Appl. Microbiol. Biotechnol.104, 86078619. 10.1007/s00253-020-10869-5

  • 15

    DudejaS. S.Suneja-MadanP.PaulM.MaheswariR.KotheE. (2021). Bacterial endophytes: molecular interactions with their hosts. J. Basic Microbiol.61, 475505. 10.1002/jobm.202000657

  • 16

    DutkiewiczJ.MackiewiczB.LemieszekM. K.GolecM.MilanowskiJ. (2016). Pantoea agglomerans: a mysterious bacterium of evil and good. Part IV. Beneficial effects. Ann. Agric. Environ. Med.23, 206222. 10.5604/12321966.1203879

  • 17

    EastmanA. W.HeinrichsD. E.YuanZ. C. (2014). Comparative and genetic analysis of the four sequenced Paenibacillus polymyxa genomes reveals a diverse metabolism and conservation of genes relevant to plant-growth promotion and competitiveness. BMC Genomics15, 122. 10.1186/1471-2164-15-851

  • 18

    GlickB. R. (2012). Plant growth-promoting bacteria: mechanisms and applications. Scientifica2012, 115. 10.6064/2012/963401

  • 19

    GyaneshwarP.ParekhL. J.ArchanaG.PooleP. S.CollinsM. D.HutsonR. A.et al. (1999). Involvement of a phosphate starvation inducible glucose dehydrogenase in soil phosphate solubilization by Enterobacter asburiae. FEMS Microbiol. Lett.171, 223229. 10.1111/j.1574-6968.1999.tb13436.x

  • 20

    HarayamaS.BollingerJ.IinoT.HazelbauerG. L. (1983). Characterization of the mgl operon of Escherichia coli by transposon mutagenesis and molecular cloning. J. Bacteriol.153, 408415. 10.1128/jb.153.1.408-415.1983

  • 21

    JasimB.Jimtha JohnC.ShimilV.JyothisM.RadhakrishnanE. K. (2014). Studies on the factors modulating indole-3-acetic acid production in endophytic bacterial isolates from Piper nigrum and molecular analysis of ipdc gene. J. Appl. Microbiol.117, 786799. 10.1111/jam.12569

  • 22

    KandelP. P.NaumovaM.FauttC.PatelR. R.TriplettL. R.HockettK. L. (2022). Genome mining shows ubiquitous presence and extensive diversity of toxin-antitoxin systems in pseudomonas syringae. Front. Microbiol.12, 815911. 10.3389/fmicb.2021.815911

  • 23

    KeM.ShenH.WangL.LuoS.LinL.YangJ.et al. (2016). Identification, quantification, and site localization of protein posttranslational modifications via mass spectrometry-based proteomics. Adv. Exp. Med. Biol.919, 345382. 10.1007/978-3-319-41448-5_17

  • 24

    KukretiB.SharmaA.ChaudharyP.AgriU.MaithaniD. (2020). Influence of nanosilicon dioxide along with bioinoculants on Zea mays and its rhizospheric soil. 3 Biotech10, 345. 10.1007/s13205-020-02329-8

  • 25

    KumarP.ChauhanV.DangA. S.KumarA.SunejaP. (2022). Draft genome sequence of pantoea agglomerans CPHN2, a potential plant-growth-promoting endophyte. Microbiol. Resour. Announc. 11, e0019222. 10.1128/mra.00192-22

  • 26

    LeeJ. E.LeeB. J.ChungJ. O.HwangJ. A.LeeS. J.LeeC. H.et al. (2010). Geographical and climatic dependencies of green tea (Camellia sinensis) metabolites: A 1H NMR-based metabolomics study. J. Agric. Food Chem.58, 1058210589. 10.1021/jf102415m

  • 27

    LiuW.WangQ.HouJ.TuC.LuoY.ChristieP. (2016). Whole genome analysis of halotolerant and alkalotolerant plant growth-promoting rhizobacterium Klebsiella sp. D5A. Sci. Rep.6, 26710. 10.1038/srep26710

  • 28

    MaheshwariR.BhutaniN.BhardwajA.SunejaP. (2019). Functional diversity of cultivable endophytes from Cicer arietinum and Pisum sativum: bioprospecting their plant growth potential. Biocatal. Agric. Biotechnol.20, 101229. 10.1016/j.bcab.2019.101229

  • 29

    ManoY.NemotoK. (2012). The pathway of auxin biosynthesis in plants. J. Exp. Bot.63, 28532872. 10.1093/jxb/ers091

  • 30

    MetcalfW. W.WannerB. L. (1993). Evidence for a fourteen-gene, phnC to phnP locus for phosphonate metabolism in Escherichia coli. Gene129, 2732. 10.1016/0378-1119(93)90692-V

  • 31

    Navarro-TorreS.Barcia-PiedrasJ. M.Mateos-NaranjoE.Redondo-GómezS.CamachoM.CaviedesM. A.et al. (2017). Assessing the role of endophytic bacteria in the halophyte Arthrocnemum macrostachyum salt tolerance. Plant Biol.19, 249256. 10.1111/plb.12521

  • 32

    NiaziA.ManzoorS.AsariS.BejaiS.MeijerJ.Bongcam-RudloffE. (2014). Genome analysis of Bacillus amyloliquefaciens Subsp. plantarum UCMB5113: a rhizobacterium that improves plant growth and stress management. PLoS ONE9, e104651. 10.1371/journal.pone.0104651

  • 33

    ParkerG. F.HigginsT. P.HawkesT.RobsonR. L. (1999). Rhizobium (Sinorhizobium) meliloti phn genes: characterization and identification of their protein products. J. Bacteriol.181, 389395. 10.1128/JB.181.2.389-395.1999

  • 34

    PatelR. R.ThakkarV. R.SubramanianR. B. (2016). Simultaneous detection and quantification of phytohormones by a sensitive method of separation in culture of Pseudomonas sp. Curr. Microbiol.72, 744751. 10.1007/s00284-016-1012-1

  • 35

    PinskiA.ZurJ.HasterokR.Hupert-KocurekK. (2020). Comparative genomics of Stenotrophomonas maltophilia and Stenotrophomonas rhizophila revealed characteristic features of both species. Int. J. Mol. Sci.21, 4922. 10.3390/ijms21144922

  • 36

    RamachandranS.FontanilleP.PandeyA.LarrocheC. (2006). Gluconic Acid: Properties, Applications and Microbial Production. Food Technol. Biotechnol. 44. Available online at: https://www.researchgate.net/publication/228342155_Gluconic_Acid_Properties_Applications_and_Microbial_Production (accessed April 5, 2022).

  • 37

    RaniS.KumarP.SunejaP. (2021). Biotechnological interventions for inducing abiotic stress tolerance in crops. Plant Gene27, 100315. 10.1016/j.plgene.2021.100315

  • 38

    RodríguezH.FragaR.GonzalezT.BashanY. (2007). First International Meeting on Microbial Phosphate Solubilization. Available online at: https://link.springer.com/book/10.1007/978-1-4020-5765-6 (accessed April 4, 2022).

  • 39

    SeemannT. (2017). Shovill: faster SPAdes assembly of Illumina reads (v0. 9.0). Available online at: https://github.com/tseemann/shovill

  • 40

    ShariatiV. J.MalboobiM. A.TabriziZ.TavakolE.OwiliaP.SafariM. (2017). Comprehensive genomic analysis of a plant growth-promoting rhizobacterium Pantoea agglomerans strain P5. Sci. Rep.7, 15610. 10.1038/s41598-017-15820-9

  • 41

    SpaepenS.VanderleydenJ.RemansR. (2007). Indole-3-acetic acid in microbial and microorganism-plant signaling. FEMS Microbiol. Rev.31, 425448. 10.1111/j.1574-6976.2007.00072.x

  • 42

    StevensJ. B.CarterR. A.HussainH.CarsonK. C.DilworthM. J.JohnstonA. W. B. (1999). The fhu genes of Rhizobium leguminosarum, specifying siderophore uptake proteins: FhuDCB are adjacent to a pseudogene version of fhuA. Microbiology145, 593601. 10.1099/13500872-145-3-593

  • 43

    SzkopM.BielawskiW. (2013). TyrB-2 and phhC genes of Pseudomonas putida encode aromatic amino acid aminotransferase isozymes: evidence at the protein level. Amino Acids45, 351358. 10.1007/s00726-013-1508-y

  • 44

    TatusovaT.DicuccioM.BadretdinA.ChetverninV.NawrockiE. P.ZaslavskyL.et al. (2016). NCBI prokaryotic genome annotation pipeline. Nucleic Acids Res.44, 66146624. 10.1093/nar/gkw569

  • 45

    VerheggenK.MartensL.BervenF. S.BarsnesH.VaudelM. (2016). Database search engines: paradigms, challenges and solutions. Adv. Exp. Med. Biol.919, 147156. 10.1007/978-3-319-41448-5_6

  • 46

    WaltersonA. M.StavrinidesJ. (2015). Pantoea: insights into a highly versatile and diverse genus within the Enterobacteriaceae. FEMS Microbiol. Rev.39, 968984. 10.1093/femsre/fuv027

  • 47

    XieJ.ShiH.DuZ.WangT.LiuX.ChenS. (2016). Comparative genomic and functional analysis reveal conservation of plant growth promoting traits in Paenibacillus polymyxa and its closely related species. Sci. Rep.6, 21329. 10.1038/srep21329

  • 48

    ZaidiA.KhanM. S.AhemadM.OvesM. (2009). Plant growth promotion by phosphate solubilizing bacteria. Acta Microbiol. Immunol. Hung.56, 263284. 10.1556/AMicr.56.2009.3.6

  • 49

    ZhaoY. (2010). Auxin biosynthesis and its role in plant development. Annu. Rev. Plant Biol.61, 4964. 10.1146/annurev-arplant-042809-112308

Summary

Keywords

KEGG pathway, next-generation sequencing, Pantoea agglomerans, PGPEB, whole genome

Citation

Kumar P, Rani S, Dahiya P, Kumar A, Dang AS and Suneja P (2022) Whole genome analysis for plant growth promotion profiling of Pantoea agglomerans CPHN2, a non-rhizobial nodule endophyte. Front. Microbiol. 13:998821. doi: 10.3389/fmicb.2022.998821

Received

20 July 2022

Accepted

13 September 2022

Published

07 November 2022

Volume

13 - 2022

Edited by

Vijay K. Sharma, Agricultural Research Organization (ARO), Israel

Reviewed by

U. M. Aruna Kumara, University of Colombo, Sri Lanka; Parul Chaudhary, G. B. Pant University of Agriculture and Technology, India; Salma Mukhtar, Connecticut Agricultural Experiment Station, United States

Updates

Copyright

*Correspondence: Pooja Suneja

This article was submitted to Evolutionary and Genomic Microbiology, a section of the journal Frontiers in Microbiology

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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