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Article

Molecular Phylogenetic Analysis of Salt-Tolerance-Related Genes in Root-Nodule Bacteria Species Sinorhizobium meliloti

by
Victoria Spartakovna Muntyan
and
Marina Lvovna Roumiantseva
*
Laboratory of Genetics and Selection of Microorganisms, Federal State Budget Scientific Institution All-Russia Research Institute for Agricultural Microbiology (FSBSI ARRIAM), 196608 Saint Petersburg, Russia
*
Author to whom correspondence should be addressed.
Agronomy 2022, 12(8), 1968; https://doi.org/10.3390/agronomy12081968
Submission received: 13 July 2022 / Revised: 14 August 2022 / Accepted: 16 August 2022 / Published: 20 August 2022
(This article belongs to the Special Issue Rhizobial Symbiosis in Crop Legumes: Molecular and Cellular Aspects)
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Abstract

:
A molecular phylogenetic analysis of salt-tolerance-related genes was carried out using complete genome sequencing data available for 26 Sinorhizobium meliloti strains and for 25 bacterial strains belonging to 17 genera. It was revealed that the genes of the first and the second stages of the response to salt stress (aqpZ, trkH, and trkA, and betICBA) have copies of many of the above- indicated genes on pSymA. Data obtained can provide evidence that this replicon, known to be essential for nitrogen fixation rhizobia activity, also has a significant role in the formation of a stress-related gene pool. The closest putative phylogenetic relatives were identified for all 14 tested genes and these are the first insights into the evolutionary pathways for the formation of a stress-related gene pool in root nodule nitrogen-fixing bacteria.

1. Introduction

Crop production and biodiversity around the world are under threat from a range of environmental constraints, such as salinity, drought and heat stress, which, due to changing climatic conditions, increase the rate of soil erosion and degradation as well as inhibit plant growth and development [1].
Legumes that form a nitrogen-fixing symbiosis with soil saprophytic bacteria have a well-developed root system and can be a promising object for cultivation on arid soils subjected to salinity [2]. Microsymbionts can help to increase plant tolerance to abiotic stress factors and, accordingly, increase plant productivity [2,3]. However, the genetic potential of the microbial component used in the creation of plant–microbial systems based on modern biotechnology methods remains underestimated. In this regard, it may be of interest to study genes related to the tolerance of bacteria to abiotic stress factors, for example, to osmotic and salt types of stress, which adversely affect the vital activity of soil microorganisms.
Salinity is one of the most widespread stress factors; it is also the best-studied factor, since it can be modeled in a laboratory [4]. The reaction of bacterial cells to salt stress is divided into primary and secondary stages (or phase, response and reaction), which are responsible for various proteins/enzymes encoded by both individual genes and groups of genes (hereinafter referred to as stress-tolerance-related genes). The primary reaction of bacteria to salt stress (shock) is associated with the accumulation of water and potassium ions due to passive or active transport through the cell membrane, which has been shown for model objects such as Escherichia coli (class: γ-proteobacteria), Bacillus subtilis (class: Bacilli) and Pseudomonas aeruginosa (class: γ-proteobacteria). Multicomponent transporter systems encoded, for example, by the trkAH genes and the kdpEABCDF operon are responsible for active potassium transport (presented for E. coli on Figure 1a; [5,6]). Tolerance to hyperosmotic conditions, especially to soil salinity, is associated with both osmotic stress, which develops with a lack of water ions, and salt stress, characterized by high extracellular concentrations of cations (for example, sodium) and anions (for example, chloride ions). Aquaporins, which are considered as “water channels”, are involved in the passive transport of water ions. These “water channels” are hydrophobic homotetrameric transmembrane proteins of 250–300 aa, which are members of the extensive MIP family (major intrinsic proteins) and often encoded by multicopy (from one to seven) aqp genes. It has been shown that aquaporins of phytopathogenic, arbuscular or ectomycorrhizal fungi regulate the membrane permeability not only for water but also for hydrogen peroxide as well as ammonium ions, and they can participate in the development of fungal conidia (virulence and infection processes) [7,8,9]. The aqp genes have also been identified in plants, and their activity can be either constitutive or induced in response to osmotic stress [10], or regulated by hormones or blue light [11,12]. Bacterial porins are actively involved in the enhanced cell growth that occurs in the exponential phase [13,14,15]. Aquaporins of the peribacteroid membrane of legume symbiosomes, organelles containing differentiated nitrogen-fixing cells of nodule bacteria, are involved in the exchange of metabolites between the host plant and the bacterial microsymbiont, and are known as nodulins (family: Nlm) according to [16,17].
The aqp genes in taxonomically unrelated microorganisms may have a low level of similarity; for example, aqpZ and aqpX in E. coli strain K-12 clone MG1655 and Brucella melitensis bv. abortus 2308, respectively, have a shared identity of 65.26% according to the results of a noncontiguous megablast (discontiguous megablast) [18]. The functional role of the products of these aqp genes is also significantly different; for example, AqpX is required under hyperosmotic conditions, while AqpZ is important for protecting cells from hypoosmotic shock [4]. According to data from the literature, the aquaporins of prokaryotes, archaea and eukaryotes differ in the specificity of pores to transferred substrates, according to [19,20,21,22,23]. The secondary stage of the response to salt stress occurs as a result of the accumulation of organic substances, such as trehalose, proline, ectoine, glycine betaine or choline (osmolytes [4,24,25,26], osmoprotectants [27,28,29] or osmoprotectors [26,30,31,32]), in the cytoplasm of bacteria, which is necessary to maintain cell turgor (prolonged exposure to hyperosmotic conditions) [33]. It should be noted that the data discussed above were obtained exclusively for model strains of bacteria from different species, classes or even orders, while for root-nodule bacteria, symbionts of leguminous plants, data about genes involved in the response to salt stress as well as about their functional role are extremely limited.
In the genome of Sinorhizobium meliloti strains forming a symbiosis with alfalfa (Medicago spp.), genes were identified whose products are similar to genes in E. coli involved in the primary response to salt stress (Figure 1b). Among them are the kdp operon as well as the trkA, trkH and aqp genes, which are related to the primary response to salt stress. In the genome of the reference strain S. meliloti Rm1021, genes aqpZ1 and aqpZ2 annotated correspondingly on a chromosome (SMc) and on the megaplasmid pSymA, which contains symbiotic genes. The first gene mentioned above encodes the bacterial nodulin-like integral transmembrane protein AqpZ1, presumably involved in the degradation of glycerol compounds as well as in the transfer of glycerol-3-phosphate. However, there are no experimental data confirming the functional role of both of these genes up to now.
In the S. meliloti genome, genes involved in the secondary response to hyperosmotic stress were also identified. Such a type of tolerance is linked with the accumulation and synthesis of various osmoprotectors, such as trehalose or glycine betaine. These compounds accumulate at high concentrations via BCCT (betaine/carnitine/choline transporter) transport systems (Figure 1), which are also found in many Gram-negative bacteria [34,35]. Thus, different species of nodule bacteria contained the treAB, proU, proP and betT genes, which are involved in the transport of osmoprotectors. The treY, treS and treZ genes were also identified in S. meliloti, and all of them belong to different potential trehalose synthesis pathways or are involved in the conversion of maltose and maltodextrin, respectively [36]; however, exogenous trehalose transporters, activated in response to salt stress, were not identified. Glycine betaine (GB or N,N,N-trimethylglycine, or 2-trimethylammonioacetate (IUPAC)) is the most highly effective osmolyte known, the synthesis of which occurs during the two-stage oxidation of choline through the formation of glycine betaine aldehyde [37]. In Gram-positive bacteria such as Arthrobacter pascens and A. globiformis, as well as in fungi (Cylindro carpondidymun), a two-step catalysis of soluble choline oxidase (cox and codA genes in Arthrobacter, respectively) was studied [38,39]. In S. meliloti, the enzymes of the glycine betaine biosynthesis pathway encoded by the betICBA chromosomal operon were revealed. A similar operon was also described in Pseudomonas aeruginosa (PA0031-PA0030-PA0029), as well as in E. coli and Bacillus subtilis, but the betC gene encoding the synthesis of choline sulfatase was absent in the last two cases [37,40,41,42]. It has been shown that the betC product is involved in the replenishment of the sulfur pool in P. aeruginosa, while in S. meliloti, the betC gene encodes choline sulfatase, which hydrolyzes choline-O-sulfate, with the subsequent conversion of choline into glycine betaine [43]. It is important to note that the activity of the bet genes in S. meliloti is significant in symbiosomes; therefore, it is necessary for benefiting the function of the legume–rhizobium symbiotic system [44,45,46]. Both types of the above operons have the betI gene, which encodes an HTH-type transcription regulator of the betAB genes in S. meliloti and E. coli. The betI gene is induced by outside transported choline, for example, from plant root exudates [44]. In alfalfa rhizobia, a homolog of the betB gene (betB2) on the megaplasmid pSymA was identified, whose function is predicted to be a “switch” of the possibility of using GB as a source of carbon or nitrogen in the last stage of glycine betaine biosynthesis [46].
Agronomy 12 01968 g001 550
Figure 1. Schematic representation of the osmostress response systems of E. coli K-12 (a) and S. meliloti Rm1021 (b). Graphical sketch of osmostress response systems was designed using literature data [33,36,37,43,44,45,46,47]. The presence of BCCT (betaine/carnitine/choline transporter) transport systems are indicated in (a,b) according [5,35,43,44,45,46,47]. Products of stress-related genes: blue lines indicate primary stage and red lines indicate secondary stage (see the text); AqpZ—aquaporin Z; TrkAH and KdpEABCDF—turgor-responsive uptake transporter systems for K+; BetT—high-affinity choline import transporter (BCCT transport system); BetA—FAD-containing choline dehydrogenase; BetB—betaine aldehyde dehydrogenase; BetC—choline-O-sulfatase; BetI—transcriptional regulator BetI. Substrates: GB-aldehyde—glycine betaine aldehyde.
Figure 1. Schematic representation of the osmostress response systems of E. coli K-12 (a) and S. meliloti Rm1021 (b). Graphical sketch of osmostress response systems was designed using literature data [33,36,37,43,44,45,46,47]. The presence of BCCT (betaine/carnitine/choline transporter) transport systems are indicated in (a,b) according [5,35,43,44,45,46,47]. Products of stress-related genes: blue lines indicate primary stage and red lines indicate secondary stage (see the text); AqpZ—aquaporin Z; TrkAH and KdpEABCDF—turgor-responsive uptake transporter systems for K+; BetT—high-affinity choline import transporter (BCCT transport system); BetA—FAD-containing choline dehydrogenase; BetB—betaine aldehyde dehydrogenase; BetC—choline-O-sulfatase; BetI—transcriptional regulator BetI. Substrates: GB-aldehyde—glycine betaine aldehyde.
Agronomy 12 01968 g001
Thus, an analysis of the data available in the literature has shown that taxonomically different types of microorganisms have a two-stage response to salt stress, in which both homologous and nonhomologous genes may be involved, the products of which frequently belong to different metabolic pathways. However, it is still impossible to make at least a preliminary characterization of the pool of these genes for the bacteria.
The aim of the presented study was to search for and obtain new knowledge about the abundance of genes known to be involved in the control of stress tolerance (salt tolerance), but little studied in nitrogen-fixing root-nodule rhizobia. The intraspecies diversity of the pool of these genes (presence, copy number and localization in the genome) related to the primary and secondary response of salt stress tolerance (shock and prolonged hyperosmotic exposure, correspondingly) was studied in this work by evaluating Sinorhizobium meliloti strains for which genome-wide data are available. A phylogenetic approach was applied for the first time in order to predict evolutionary pathways for the formation of a stress-related genes pool in root-nodule bacteria, forming a nonobligate mutualistic nitrogen-fixing symbiosis with alfalfa.

2. Materials and Methods

2.1. Complete Genomes

Complete genomes of 51 bacterial strains from 4 classes deposited in GenBank were taken for the research (Table 1).
A set of genes for the research was settled up as a result of analysis of published data available for bacteria from different species. Only publications presented practical experiments confirming the participation of one or another gene of interest in the formation of bacteria stress resistance were selected. Finally, a set of scattered data available for bacteria of 17 genera was obtained. However, not one of those corresponding publications had presented a joint analysis of genes selected for our research. As a result, a group of 14 genes was applied for the research. For bacteria of the species S. meliloti, similar data were found only for 8 genes and only for the reference strain Rm1021 (Rm2011); however, these data were also scattered. The main reference object was E. coli, since it is for this bacterium that the genes involved in the response to salt shock and prolonged salt stress are most fully described. As a result, we analyzed 396 nucleotide sequences of 14 genes from 51 strains belonging to 18 genera.

2.2. Sequence Similarity Analysis

The homologous genes of interest were chosen based on the data of gene products by using the NCBI Prokaryotic Genome Annotation Pipeline [48] and Prokka [49]. The list of genes involved in primary and secondary stages of salt tolerance of the reference strain S. meliloti Rm1021: trkA (SMc01046), trkH (SMc00937), trkH-2 (SMa1691), kdpA (SMa2333), aqpZ1 (SMc01870), aqpZ2 (SMa0627), betI (SMc00095), betI-2 (SMa1414), betB (SMc00094), betB2 (SMa1731), betA (SMc00093), betC (SMc00127). Homology analysis of nucleotide and amino acid sequences was performed by using BlastN and BlastP, respectively. The relative rate of accumulation of substitutions (N) between sequences were calculated by using the formula: N = L/100 × n, where L is the sequence length, and n is the number of substitutions per 100 nucleotides. Nucleotide diversity (Pi) was calculated by the DnaSP v6 software package (ver. 6, Rozas J., Barcelona, Spain [50]), and background rate of evolution was calculated by Ka/Ks ratio, according to [51].

2.3. Phylogenetic Analysis

Multiple nucleotide sequence alignment was performed by Muscle tool [52]; highly variable fragments of the alignments were eliminated by Gblocks program [53]; phylogenetic analysis was performed by IQ-TREE [54] with the Maximum likelihood algorithm (1000 bootstrap replicates), the trees were rendered with Dendroscope3 [55]. Comparative analysis of species trees (based on 16S rDNA nucleotide sequences) and gene trees (based on phylogenetic trees obtained in this work) to identify vertical inheritance and possible events of horizontal gene transfer was carried out using TreeCmp v2.0.76 (ver. 2.0.76, Bogdanowicz D., Gdańsk, Poland [56] and T-REX (Boc A., Montre´al, Canada [57]), which made it possible to calculate normalized distance (matching split distance) between trees for the Yule model and bipartite dissimilarity as an optimization criterion. Bootstrap support in both cases was 1000 replicas.

3. Results

3.1. Genes of the First Stage of the Response to Salt Stress

The trkA and trkH genes encode proteins of the transmembrane complex (Figure 1). Both genes are activated in the first seconds of the response to salt concentration changes in a growth medium. TrkA of S. meliloti is characterized by low-affinity, and it is involved in K+-uptake pump and in transportation of K+ at neutral pH under aerobic conditions [58]. In Escherichia coli, gene trkA is constitutively expressed, and its product is an active K+/H+ symporter, operating under similar conditions, but it is ineffective at acidic pH [59]. A secondary point is that in genomes of strains of six different species belonging to alpha, beta and gamma proteobacteria, the trkA gene was detected in one copy (Table S1). The same gene was identified in one copy on the chromosome of all 26 tested strains of S. meliloti. The sequences of the trkA was 1377 bp in majority of studied strains including all S. meliloti strains and Agrobacterium fabrum str. C58, but only in Azoarcus olearius BH72 the length of the same gene was 1404 bp. The trkA of S. meliloti and Agrobacterium fabrum C58 showed 73.71% identity (at Cov = 100% and E-value = 0.0).
It was revealed that trkA of S. meliloti has no similarity with trkA of E. coli strain K-12 substr. MG16555 (TrkA E. coli/TrkA S. meliloti (I = 39.96%, Cov = 99% and E-value = 3 × 10−113). A phylogenetic analysis of 32 identified trkA sequences revealed three groups, A, B and C, which were in a state of “soft” polytomy. This type of polytomy indicates that the division of the phylogenetic tree occurs as a result of insufficient phylogenetic information; furthermore, it shows that the analyzed groups are phylogenetically distinct (Figure 2a; [60,61,62]). Since each of the three above groups included sequences of strains of one of the three classes (γ-, β- or α-proteobacteria), respectively, it was concluded that the sequences of the genes of interest in the bacteria of each studied class had an independent origin. In group C, which contained sequences of α-proteobacteria strains, there are two monophyletic clades (bootstrap 100%), of which clade C2 included two subclades: C2.1 and C2.2 (bootstrap 74%). Subclade C2.1 contained the trkA sequence of strain WSM419 of the closely related Sinorhizobium medicae species. The C2.2 included 25 trkA sequences of S. meliloti, the mean value of the nucleotide diversity of these sequences was rather low (Pi = 0.00335). According to nucleotide substitution frequencies (Ka/Ks), used to predict a background rate of evolution, the trkA sequence in S. meliloti is under negative selection (Ka/Ks = 0.901982). The applied phylogenetic approach revealed that the trkA gene in S. meliloti strains (cluster C2.2), as well as in B. melitensis bv. abortus 2308 (cluster C1) is phylogenetically far from the trkA sequences in the studied representatives of γ- and β-proteobacteria (groups A and B). So, trkA sequences within α-proteobacteria are phylogenetically distinct and did not have the same origin with γ- and β-proteobacteria.
The trkH gene (1455 bp) was found in only half of the tested S. meliloti strains; however, almost every second strain had a second copy of trkH-2 of the same length located on pSymA (Table S1). Both, trkH and trkH-2 of S. meliloti are encoding TrkH proteins mediating K+ uptake in bacteria. It was revealed that TrkH allows permeation of K+ and Rb+, but not smaller ions such as Na+ or Li+ [63]. Additionally, two copies of trkH were detected only on the chromosome of Azorhizobium caulinodans ORS571 (1407 and 1497 bp), but both sequences were not homologous (identity 83.33%, Cov = 6%, E-value = 3 × 10−6) and did not show identity with trkH or with trkH-2 of S. meliloti strains. The nucleotide similarity of trkH and trkH-2 for the reference strain, S. meliloti Rm1021, was 75.31% (Cov = 97%, E-value = 0). The identity between trkH and trkH-2 of S. meliloti Rm1021 with trkH (1458 bp) of Agrobacterium fabrum str. C58 was 68.43% (Cov = 97%, E-value = 2 × 10−149) and 74.65% (Cov = 98%, E-value = 0.0). Only trkH showed similarity with the similar sequence of E. coli K-12 substr. MG16555 (I = 74.42%; Cov = 2% and E-value = 0.006). In the remaining three representatives of different species, the trkH gene was detected in one copy.
A phylogenetic analysis of 31 sequences of trkH homologs revealed three phylogenetic clades, A, B and C, which were in a state of “soft” polytomy (Figure 2b). Clade B united two clusters (bootstrap 99%), of which cluster B2 contained the trkH sequence of S. medicae WSM419 and the first cluster, B1, included trkH-2 sequences identified in S. meliloti and S. medicae WSM419 strains, as well as a chromosome copy of trkH Azorhizobium caulinodans ORS571. Nucleotide diversity of trkH-2 sequences identified in S. meliloti was Pi = 0.01337. Homologs of trkH were detected in Agrobacterium fabrum C58, Chelativorans sp. BNC1, Brucella melitensis bv. abortus 2308. Clade C included trkH (Pi = 0.00194) located on the chromosomes of the studied S. meliloti strains. Both copies, trkH and trkH-2, located on a chromosome and the pSymA of S. meliloti, correspondingly, are under affected by negative selection (Ka/Ks = 0.1092). A comparative analysis of the topology of the phylogenetic tree performed on the basis of the nucleotide sequences of 16S rDNA of strains of different species (hereinafter referred to as the reference tree or 16S-PhT) and a tree constructed on the basis of trkH sequences (trkH-PhT) showed that the latter was also similar to the reference tree insofar as any random trees are similar to each other (normalized distance (matching split distance) in the Yule model = 1.667). This led to the conclusion that the trkH sequence located on a chromosome as well as the trkH-2 sequence located on the pSymA of S. meliloti are phylogenetically unrelated. No horizontal transfer events were detected for the trkH and trkH-2 genes of S. meliloti that occurred from other studied classes of bacteria; at the same time, it might be considered that trkH-2 is phylogenetically relative to the trkH sequence of Brucella melitensis bv. abortus 2308.
The kdpEABCD operon’s genes are responsible for the synthesis of the Kdp proteins of the ATP-dependent transport system, which is responsible for the accumulation of K+ under hyperosmotic conditions (Figure 1). In all 26 S. meliloti strains, this operon is localized on the pSymA megaplasmid, while in E. coli, it is located on a chromosome. The similarity of the nucleotide sequences of each gene of the kdpEABCD operon was analyzed in S. meliloti as well as E. coli. However, the similarity was established for only 31% of the length of the consensus sequences of compared operons (7734 bp and 7677 bp for S. meliloti and E. coli, respectively; I = 66.69%). Similar operons were found in the many studied representatives of α-, β- and γ-proteobacteria, as well as Actinobacteria, but it was not identified in strains that belonged to the following genera: Brucella, Chelativorans, Gluconacetobacter (α-proteobacteria), Azoarcus (β-proteobacteria) and Corynebacteria (Actinobacteria). The kdpA gene encodes the potassium-transporting ATPase subunit KdpA, and it was detected in nearly all tested strains (in 46 out of 51) belonging to different species, with the exception of Brucella melitensis bv. abortus 2308 (Table S1). Its sequences greatly varied in length (from 1659 bp up to 1818 bp) in the above strains. However, the length of the kdpA in Sinorhizobium, Azorhizobium, Azospirillum and Frankia (strain EAN1pec) was conserved and was equal to 1710 bp. The identity between kdpA from S. meliloti Rm1021 and from Agrobacterium fabrum str. C58 (1704 bp) did not exceeded 67.85% (Cov = 96%, E-value = 1 × 10−158).
A phylogenetic analysis of 46 sequences of the kdpA gene, encoding the transmembrane subunit KdpA, which is related to the binding and transporting of K+ ions [4], revealed three clusters in a state of “soft” polytomy. Group A included kdpA sequences identified in β-proteobacteria, and group B contained sequences identified in γ-proteobacteria. Group C included sequences identified in both α-proteobacteria and Actinobacteria, and had two monophyletic clades (bootstrap 100%). The data obtained supported the presence of a common putative ancestor of the kdpA gene homologues for α-proteobacteria (including S. meliloti) and Actinobacteria. All 26 kdpA sequences of S. meliloti strains (C-2.2.b.2) were in C-2 (bootstrap 100%). The relative rate of the accumulation of substitutions in sequences of the C-1 clade (class: Actinobacteria) as well as in sequences from the subcluster C-2.2.b.2 (S. meliloti) was 7.79641 bp for every 100 bp. It was found that the sequences of the kdpA gene in S. meliloti are under negative selection (Ka/Ks = 0.1317). A comparative analysis of the topology of 16S-PhT and kdpA-PhT showed that the normalized matching split distance for the Yule model was 0.8362, indicating that the vertical inheritance of this gene is not obvious. However, 26 horizontal transfers were found (see Materials and Methods), and 20 of them were detected in the studied S. meliloti strains. This was supported by the probability of matching the topologies of the 16S-PhT (Figure 3) and kdpA-PhT trees (Figure 4a). The facts of the horizontal transfer of the kdpA were established within the class Actinobacteria (between Frankia strains and from Frankia to Mycolicibacterium); the facts of the transfer of this gene within the class of α-proteobacteria (from Azospirillum to Devosia, from Devosia to Agrobacterium and Bradyrhizobium) in addition to the probabilities of horizontal transfer events were backed by 100% bootstrap support. In addition, a transfer event of kdpA was detected between group C-1 (α-proteobacteria) and group C-2 (Actinobacteria), which was confirmed by BD values (131.5%) and bootstrap support (100%). The data obtained allow us to conclude that α-proteobacteria obtained kdpA gene from Actinobacteria as a result of horizontal gene transfer.
The aqpZ gene encoding aquaporin Z was found in the genomes of representatives of eight classes of all the genera under consideration (Table S1). This gene is localized on a chromosome in the analyzed strains belonging to the following genera: Bradyrhizobium, Brucella, Devosia and Chelativorans (α-proteobacteria), as well as in a representative of γ-proteobacteria (E. coli K-12 substr. MG1655). In 15 strains of S. meliloti, the aqpZ1 gene located on a chromosome was identified, as was a copy of aqpZ2 on the pSymA megaplasmid. In six strains, only the aqpZ1 gene was present, while in three strains, only aqpZ2 was present, and in two strains, both genes were not detected (Table S1). The size of the aqpZ1 and aqpZ2 sequences in S. meliloti ranged from 615 to 687 bp and from 591 to 699 bp, respectively, while in strains of different species, the aqpZ size varied from 591 to 726 bp. The similarity of the nucleotide sequences of aqpZ1 and aqpZ2 was 82.5% (96% coverage) in S. meliloti strains. The two sequences encoding aquaporin Z were determined in the genome of Agrobacterium fabrum str. C58. One (aqpZ1; 726 bp) of two was localized on the circular chromosome, and the second one (aqpZ2; 687 bp) was on the plasmid At. The identity between aqpZ1 and aqpZ2 was 78.77% (Cov = 99%, E-value = 4 × 10−169).
The sequence identity between aqpZ1 of S. meliloti Rm1021 and aqpZ1 of Agrobacterium fabrum str. C58 was 75.45% (Cov = 96%, E-value = 7 × 10−134), and between aqpZ2 of S. meliloti Rm1021 and aqpZ2 of Agrobacterium fabrum str. C58 it was 72.19% (Cov = 88%, E-value = 5 × 10−98). There was rather less similarity between the aqpZ1 and aqpZ2 of S. meliloti with aqpZ of E. coli K-12 substr. MG1655 (64.88 and 63.91%, Cov = 81 and 88%, respectively), but similarity was higher with aqpX sequence of Brucella melitensis bv. abortus 2308 (identity = 70.75% and 71.28%; Cov = 93 and 95%, respectively).
A phylogenetic analysis of 51 aqpZ homologues sequences resulted in the three polyphyletic clusters, A, B and C (Figure 4b). Cluster A included the aqpZ sequence of Mycolicibacterium smegmatis MC2_155 (class: Actinobacteria). Cluster B had two clades (bootstrap 65%), of which B-1 included chromosomal and plasmid copies of aqpZ of Agrobacterium fabrum C58 (bootstrap 93%), suggesting that these copies were obtained as a result of intragenomic recombination. Clade B-2 consisted of two subclades, B-2.1 and B-2.2 (bootstrap 39%), which included sequences from representatives of α- and γ-proteobacteria, respectively. Cluster C had two monophyletic clades (bootstrap 83%), of which clade C-1 combined all the aqpZ2 sequences and clade C-2 included sequences of the aqpZ1 strains of S. meliloti, as well as the aqpZ gene of S. medicae (bootstrap 94%). The level of identity in the nucleotide sequences of the aqpZ1 and aqpZ2 of S. meliloti is rather high, and both copies are under positive selection (Ka/Ks = 1.1223). These data allow us to predict that both copies may have a dissimilar but essential role in S. meliloti.
A comparative phylogenetic analysis of the topology of the 16S-PhT and aqpZ-PhT showed that the normalized matching split distance to the average value of the Yule model is close to 1 (1.634), which does not allow us to discuss the vertical inheritance of these genes in S. meliloti. Moreover, no evidence for the horizontal transfer of aqpZ genes in S. meliloti was obtained. According to presented data, aqpZ sequences abundant in Gram-negative bacteria phylogenetically are far from similar genes in Gram-positive bacteria, but they are closer to sequences determined in slow-growing rhizobia from the genus Bradyrhizobium.
Summarizing, it should be noted that both copies of aqpZ of S. meliloti phylogenetically are far from the corresponding genes of E. coli, Brucella melitensis (aqpX) and Actinobacteria. Moreover, AqpZ1 might be involved in sulfur ions transfer in S. meliloti as it was concluded when protein–protein interactions were analyzed using the STRING database [64]. So, aqpZ in sinorhizobia is probably involved in cellular processes different from those related to salt stress cell protection, and these genes might be involved in glycerol phosphorylation or sulfur ion transport according to automatic annotation databases (KEGG, BRITE and STRING DB).

3.2. Genes of the Second Stage of the Response to Salt Stress

Homologues sequences of the betI gene, which encoded transcriptional regulator BetI (Figure 1), were detected in tested strains belonged to α- and γ-proteobacteria, but not in representatives of actinobacteria, β-proteobacteria and Bradyrhizobium spp. (Table S1). The size of betI sequence varied from 576 to 621 bp in the above strains. Only S. meliloti strains harbored besides betI (612 bp) located on the chromosome an additional copy, the betI-2 (612 bp) on pSymA.
No homology between sequences of betI and betI-2 of S. meliloti was revealed. Moreover, each of both sequences was distinct from betI of E. coli K-12 substr. MG1655. A low level of similarity was observed when amino acid sequences of BetI and BetI-2 of S. meliloti were compared (33.52%, Cov = 89%, E-value = 7 × 10−37), and between both of the above sequences and BetI of E. coli K-12 substr. MG1655 (35.42% and 38.1%; Cov = 93%, E-value = 9 × 10−38; Cov = 92%, E-value = 8 × 10−38, respectively). The identity between betI of Agrobacterium fabrum str. C58 (621 bp) and betI of S. meliloti Rm1021 was rather high (73.31%, Cov = 82, E-value = 1 × 10−84), but no homology was observed with betI-2 (93.33%, Cov = 2%, E-value = 0.046).
A phylogenetic analysis of 59 homologous sequences of betI and betI-2 identified in the genomes of 33 out of 51 strains revealed groups I, II and III, which were in a state of “soft” polytomy with respect to each other (Table S1; Figure 5a). Groups I and II included per one betI-2 sequence of S. meliloti GR4 and M270 strains, correspondingly. Group III had two clades (bootstrap 77%). Clade B included six betI-2 sequences of S. meliloti and clade A consisted of two subclades (bootstrap 39%; Figure 5a). The A1 subclade contained 16 sequences of betI-2 identified in S. meliloti, and the A2 subclade had two clusters (bootstrap 76%). Cluster A2.1 contained the betI-2 sequences of S. meliloti AK555 and AK21 strains isolated from the Aral Sea region, subjected to extreme salinity. So, the betI-2 sequences of S. meliloti are clustered into five phylogenetically distant clusters, and that may be due to their significant structural differences.
Cluster A2.2 had a subcluster, A2.2b, which included the betI of Klebsiella pneumoniae subsp. pneumoniae HS11286 and Escherichia coli K-12 (substr. MG1655) (from the γ-proteobacterium class). Subcluster A.2.2a united two subgroups, one of which contained five homologues of the betI gene of strains of different genera from the α-proteobacteria class (S. medicae WSM419, Brucella melitensis bv. abortus 2308, Agrobacterium fabrum C58, Rhizobium etli CFN42, Azospirillum spp. BH510). The subsequent descendant division of the A.2.2a-1 cluster resulted in the A2.2a11-2b.2 cluster, which contained the betI sequences of all 26 S. meliloti strains, while the betI homologue of S. medicae WSM419 was in another cluster A2.2a11-2b.1 (Figure 5a). The betI gene of S. meliloti had 65.61% similarity (Cov = 86%, E-value = 6 × 10−25) with and was phylogenetically closer to the betI gene of Brucella melitensis bv. abortus 2308 than to the analogous E. coli gene. According to the calculated value of the background rate of evolution, both the betI and betI-2 genes of S. meliloti are under the influence of negative selection (Ka/Ks = 0.6509). At this stage of the analysis, the putative ancestral sequence of the betI-2 gene located on pSymA was not identified. Phylogenetic and comparative analyses of 16S-PhT and betI-PhT showed that the value of the matching split in the Yule model was 1.667, which made it possible to conclude that horizontal transfer events involving the betI genes were not detected in the analyzed representatives of the S. meliloti species. However, the betI-2 homologue appears to have diverged from the putative ancestral sequence earlier than the betI located on the chromosome of S. meliloti, as well as its E. coli or B. melitensis bv. abortus homologs, which made it possible to consider the betI-2 of S. meliloti as an ancestral sequence.
The betA gene encoding oxygen-dependent choline dehydrogenase (glucose-methanol-choline (GMC) oxidoreductase family) is involved in the biosynthesis of glycine betaine. The betA gene, represented by one copy on the chromosome, was identified in six out of eleven studied representatives of α- proteobacteria, as well as in β- and γ-proteobacteria, in addition to in a single representative of Actinobacteria (Table S1). The size of the betA gene in the studied strains ranged from 1587 to 1713 bp. The value of the nucleotide diversity (Pi) of the betA sequences in S. meliloti was 0.00196, while in the other strains mentioned above, it was four times higher (0.00803). Four geographically different strains of S. meliloti isolated from different origin centers of alfalfa diversity have a copy of betA-2 on pSymA. The betA-2 sequence size averaged 1626 bp (strains S35m, AK555 and AK170), while in strain CXM1-105 it was shortened (726 bp). The nucleotide diversity of the betA-2 gene (Pi = 0.00597) was three times higher than that of the betA in S. meliloti.
Sequences of betA and betA-2 had a low level of similarity (identity 74.21%, Cov = 41% and E-value = 3 × 10−27); similarly, a low level of shared identity was found between the betA of S. meliloti and E. coli K-12 substr. MG1655 (identity 63.65%, Cov = 53% and E-value = 2 × 10−21), and it was not detected in the case of betA-2. The level of similarity for betA-2 of S. meliloti and betA (1650 bp) of Agrobacterium fabrum str. C58 was low (72.02%, Cov = 37%, E-value = 6 × 10−23). However, the sequence identity of betA S. meliloti and Agrobacterium fabrum str. C58 was higher (80.56%, Cov = 99%, E-value = 0.0). An analysis of the ratio of synonymous and nonsynonymous substitutions in the betA and betA-2 nucleotide sequences of S. meliloti suggested that both sequences are under negative selection (Ka/Ks = 0.4722).
A phylogenetic analysis was performed for 38 betA homologous sequences detected in 34 strains (Table S1). Identified groups A, B and C were in a “soft” polytomy (Figure 5b). Group A included the only identified betA sequence from a member of the class Actinobacteria. Group C consisted of two monophyletic clades (bootstrap 100%), of which clade C-1 contained the betA sequences of Agrobacterium fabrum C58 and Rhizobium etli CFN42 (bootstrap 100%); clade C-2 included all 26 betA chromosome sequences of S. meliloti, as well as betA S. medicae WSM419 (bootstrap 99%). Group B consisted of two monophyletic clades (bootstrap 69%), one of which contained the betA sequence Azorhizobium caulinodans ORS 571. The second clade included two subclades (bootstrap 60%), one included all betA-2 sequences and the second clade contained betA sequences of representatives of α-, β- and γ-proteobacteria, respectively. Therefore, the betA and betA-2 genes of S. meliloti are phylogenetically distant from each other, while the betA-2 sequence is phylogenetically closer to the betA sequence of E. coli.
A putative common ancestral sequence for betA of S. meliloti and Agrobacterium fabrum C58 has been identified. The origin of the betA gene sequences of S. meliloti and E. coli is later than that of the corresponding Azorhizobium caulinodans ORS 571 gene, to which the betA-2 sequence is phylogenetically closer. Phylogenetic and comparative analyses of the 16S-PhT as well as betA-PhT and betA-2-PhT trees showed that the matching split values for the corresponding Yule model were 1.2823 and 1.6236. According to obtained data no events of the horizontal transfer of betA and betA-2 genes occurred, at least among the studied strains.
The betB gene was found in one copy in the genomes of seven out of eleven tested species of α- and γ-proteobacteria, but not among all representatives of β-proteobacteria (Table S1). In all 26 S. meliloti strains, in addition to betB, which is in the betICBA chromosomal operon, a betB2 was identified on pSymA, which is no longer found in the other studied species. Both betB copies of S. meliloti encode NAD/NADP-dependent betaine dehydrogenases. The length of betB identified in tested strains varied from 1464 to 2103 bp. S. meliloti strains contained betB, which was 1464 bp in length, except strain CXM1-105, in which this sequence was 489 bp, and all strains had betB2 (1470 bp). However, betB and betB2 sequences had a low level of similarity (65.83%, Cov = 97%, E-value = 3 × 10−97); similarly, a low level of identity was between both betB genes of S. meliloti with the betB of E. coli K-12 substr. MG1655 (identity: 64.90% and 70.37%; Cov = 74% and 14%; and E-value = 1 × 10−49 and 3 × 10−19, respectively). The highest level of sequence identity was between betB and betB2 of S. meliloti with the betB sequence (1482 bp) of Agrobacterium fabrum str. C58 (81.66 and 68.89%, Cov = 98% and 66%, E-value = 0.0 and 1 × 10−81, respectively).
A phylogenetic analysis of 60 sequences of betB and betB2 identified in 34 strains (Table S1) resulted in two groups, A and B, which were in a state of “soft” polytomy (Figure 6a). Group A included four betB2 sequences from geographically different S. meliloti strains: TO73, KH35c, CCMM B554 and HM006. Group B combined two monophyletic clades (bootstrap 100%), of which clade BII included 21 betB2 sequences of S. meliloti. Clade BI had two subclades (88% bootstrap), of which subclade BI-1 included only the betB2 sequence of the S. meliloti M270 strain and subclade BI-2 combined 34 betB homologs distributed between two clusters (100% bootstrap), in one of which, BI-2a1, betB sequences of Sinorhizobium spp. and Agrobacterium and Rhizobium were combined. Subsequent descendent clustering showed that all betB sequences identified in 26 S. meliloti were in cluster BI-2a1.22b, while the betB homolog of S. medicae WSM419 was in cluster BI-2a1.22a (bootstrap 98%; Figure 6a). The betB and betB2 sequences of S. meliloti had a level of 71.11% similarity (Cov = 98%, E-value = 0.0), and both genes were phylogenetically more similar to the corresponding gene sequence of Brucella melitensis bv. abortus 2308 or Agrobacterium fabrum str. C58 homologues than to the E. coli homologue. An analysis of the ratio of synonymous and nonsynonymous substitutions in the betB and betB2 nucleotide sequences of S. meliloti showed that both of these sequences are under negative selection (Ka/Ks = 0.2011). Phylogenetic and comparative analyses of the 16S-PhT as well as the betB-PhT and betB2-PhT trees showed that the matching split distance for the Yule model were 1.2247 and 1.5417, respectively. This allowed for the conclusion that there are no supports for horizontal transfer events of betB and betB2 genes in the tested group of S. meliloti strains. Moreover, the presented data evident that the betB2 sequence located on pSymA is a phylogenetically earlier copy compared to the divergent sequence of the betB gene located on a chromosome. A similar origin of the chromosomal copy of betB was suggested in studied representatives from the α- and γ-proteobacteria classes.
The betC gene encodes choline sulfatase, which catalyzes the conversion of choline-O-sulfate into choline, and the crystal structure of BetC (512 aa; pdb 6fny) was determined [65]. Homologs of betC were identified in all of the tested S. meliloti strains. The presence of this gene in the closely related species S. medicae WSM419, as well as in Agrobacterium fabrum C58 and Rhizobium etli CFN42 (Table S1), is reported for the first time. In S. meliloti, the betC gene is part of the betICBA chromosomal operon, while in the case of the Rhizobium etli CFN42 strain, the betC gene was on the pCFN42e plasmid. Sequence identity between betC (1539 bp) of S. meliloti Rm1021 and betC (1512 bp) of Agrobacterium fabrum str. C58 was 73.10% (Cov = 99%, E-value = 0.0).
A phylogenetic analysis of 29 betC sequences resulted in three groups, A, B and C, in a “soft” polytomy (Figure 6b). Group A is represented by one betC sequence of S. medicae. Group C included betC sequences from Agrobacterium fabrum C58 and Rhizobium etli CFN42 (identity 78.97%; bootstrap 100%). Group B combined 26 betC sequences identified in S. meliloti strains and it had two clades, of which clade B-1 contained the sequence previously described as the “cb” allele according to PCR data [66]. The S. meliloti strain, which had this allele, was characterized by a reduced level of salt tolerance and reduced symbiotic efficiency under model salinity conditions. The B-2 clade included two subclades (bootstrap 89%), one of which was the B-2.1 cluster, combining 22 betC sequences of S. meliloti, and cluster B-2.2 included betC sequences corresponding to the “ab” allele found in S. meliloti strains from geographically different centers of alfalfa diversity [67]. The strains, the sequences of which are presented in subclade B-2.2, had different levels of salt tolerance, but formed an effective symbiosis. Subclade B-2.1 united two monophyletic clusters (bootstrap 51%), of which B-2.1a included 21 betC sequences of S. meliloti showing 100% identity with the betC of S. meliloti Rm1021, and cluster B-2.1b contained the betC sequence, and the corresponding allele had 98% shared identity with the reference strain. The data obtained show that the betC sequence is conserved in the vast majority of S. meliloti strains (Pi = 0.00116), while the betC sequences revealed in native strains adapted to salt stress conditions and isolated from origins of alfalfa diversity are more variable (Pi = 0.00811). The obtained phylogenetic analysis data allowed us to suggest that the betC products of S. meliloti and Agrobacterium fabrum could perform different functions, which is in agreement with the data [43], but a common ancestor was predicted for both sequences.
Phylogenetic and comparative analyses of the reference tree of 16S-PhT and betC-PhT made it possible to determine the matching split value for the Yule model, which was 1.3307. This made it possible to conclude that horizontal transfer events of the betC gene were not detected in the studied group of strains. Phylogenetic analysis data indicated that the betC gene in S. meliloti as well as in closely related S. medicae species was introduced from different taxonomic groups; however, a sequence that could be considered ancestral will be possible to identify with a significant expansion in the number of analyzed genomes and the spectrum of bacterial species.

4. Discussion

The localization and copy number of the 14 genes involved in the response to salt shock and prolonged salt stress in S. meliloti in order to obtain knowledge about a stress-related gene pool formation were determined for the first time. For this purpose, complete sequenced genomes of the 26 strains (including 4 strains whose genomes were previously sequenced by us [68,69,70,71]) were studied. The analysis of S. meliloti strains was carried out in comparison with the data obtained by us from the study of the genomes of the other 25 strains from different species belonging to four classes (α-, β- and γ-proteobacteria, as well as Actinobacteria).
It was found that the genes involved in the transport of water and potassium (response to salt shock), such as trkA and trkH, are present in the genomes of representatives of five out of eleven α-proteobacteria species, but are absent in the genomes of slow-growing rhizobia of Bradyrhizobium spp. as well as members of the class Actinobacteria. The kdpA and aqpZ genes are present not in all Bradyrhizobium spp. and Actinobacteria strains. Summarizing, the vast majority of S. meliloti strains are harbored in 8 out of 14 studied genes on the chromosome and 6 genes on pSymA, and among the latter, 5 are copies of corresponding chromosomal genes.
The level of shared nucleotide identity of copies and genes with chromosomal localization varied from 66 to 83%, with coverage from varying from 86 to 98%. The level of nucleotide diversity of sequences of copies of the studied genes was basically two times higher. The exception was the trkH-2 gene located on pSymA, for which the Pi values were seven times higher and which, as established, is a divergent paralog of the chromosomal trkH gene.
The results indicate that the widespread kdpA gene, which is part of the kdp operon and located on pSymA, is actively involved in interspecific and intraspecific horizontal transfers in the class of α-proteobacteria. This observation is in agreement with data of Anand A. and Sharma A., who reported about kdpA gene horizontal transfer for psychrophilic Arctic metagenomes of Pangong Lake [72]. With regard to the aqpZ genes involved in the transport of water and various metabolites, we have revealed that plasmid copy was absent two times more often than a chromosomal copy in the genomes of S. meliloti strains (frequencies were 0.25 and 0.12, correspondingly). Both aqpZ1 and aqpZ2, as it was established, have a high level of nucleotide sequence similarity and are under the influence of positive selection; however, it remains unclear to what extent they may differ in functional activity and/or participate in other stressful conditions.
Our phylogenetic analysis showed that the trkH and trkA genes determined in S. meliloti were closer to Brucella melitensis bv. abortus 2308 than to E. coli. At the same time, the aqpZ genes of S. meliloti are phylogenetically closer to the genes found in slow-growing rhizobia of Bradyrhizobium spp. than to the representatives of both of the above species. Our results of the analysis of the widespread kdpA gene, which is part of the operon in S. meliloti, indicated that it was introduced into α-proteobacteria as a result of horizontal gene transfer from the class Actinobacteria.
The secondary response to hyperosmotic stress is associated with the accumulation of osmoprotectors. The betIBA operon, whose gene activity is associated with the synthesis of betaines, is found in many representatives of α-, β- and γ-proteobacteria. In all of the S. meliloti strains analyzed, the betICBA operon is present on the chromosome.
In this research, we have reported for the first time that the betA, betB and betI genes of S. meliloti are phylogenetically closer to the corresponding genes of Agrobacterium spp., which is genetically relative to S. meliloti [73]. Additionally, the betC gene, which was found also in the genomes of S. medicae WSM419, A. fabrum C58 and Rh. etli CFN42, occurred phylogenetically closely related to S. medicae species.
Copies of the betI-2 and betB2 genes on pSymA were found in all tested S. meliloti strains; hence, copies of the betA-2 genes were identified for the first time in strains isolated from centers of alfalfa diversity (frequency of occurrence 0.02). According to data obtained, plasmid copies of betA-2 and betB2 are phylogenetically closer to the above chromosomal copies, while the regulatory gene betI-2 was phylogenetically closer to the corresponding gene of Klebsiella pneumoniae subsp. pneumoniae HS11286 (γ-proteobacteria), and, moreover, it is an ancestral sequence for E. coli or B. melitensis bv abortus. Thus, pSymA is an essential replicon not only for nitrogenfixation rhizobia activity, but it also has a significant role in the formation of a stress-related gene pool. This is in agreement with findings of Galardini et al. [74] that the pSymA megaplasmid contributes to sinorhizobium pangenome expansion.

5. Conclusions

Thus, genes known to be involved in the primary and secondary response to salt stress were studied in full genome-sequenced S. meliloti strains in the frame of this research. Protein products encoded by gene copies with chromosomal and plasmid localization may differ in functional role, as was concluded using nucleotide and amino acid polymorphism analysis; however, it is the subject of further research. By phylogenetic approach, the closest phylogenetic predecessors were identified for a set of studied genes, which made it possible to obtain the first ideas about the evolutionary pathways for the formation of a pool of genes related to stress tolerance in root nodule bacteria.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/agronomy12081968/s1, Table S1: List of genes, detected in the genomes of bacterial strains.

Author Contributions

Conceptualization, V.S.M. and M.L.R.; methodology, V.S.M.; software, V.S.M.; formal analysis, V.S.M. and M.L.R.; investigation, V.S.M. and M.L.R.; writing—original draft preparation, V.S.M. and M.L.R.; writing—review and editing, V.S.M. and M.L.R.; project administration, M.L.R.; funding acquisition, M.L.R. All authors have read and agreed to the published version of the manuscript.

Funding

This paper was produced with support from the Ministry of Science and Higher Education of the Russian Federation in accordance with agreement no. 075-15-2022-320, dated 20 April 2022, on providing grants in the form of subsidies from the federal budget of the Russian Federation. The grant was provided for state support for the creation and development of a World-class Scientific Center, “Agrotechnologies for the Future”.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 2. Phylogenetic analysis of trkA (a) and trkH (b) genes in α-, β- and γ-proteobacteria, as well Actinobacteria. The nucleotide substitution models selected for the analysis were TPM3 + F + G4 for trkA sequences and TIM3 + F + G4 for trkH ones. The scale bars were 0.1 for trkA and trkH nucleotide substitutions per site (see Section 2).
Figure 2. Phylogenetic analysis of trkA (a) and trkH (b) genes in α-, β- and γ-proteobacteria, as well Actinobacteria. The nucleotide substitution models selected for the analysis were TPM3 + F + G4 for trkA sequences and TIM3 + F + G4 for trkH ones. The scale bars were 0.1 for trkA and trkH nucleotide substitutions per site (see Section 2).
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Agronomy 12 01968 g003 550
Figure 3. Phylogenetic analysis of 16S rRNA gene sequences in α-, β- and γ-proteobacteria, as well as Actinobacteria. The nucleotide substitution model selected for the analysis was TVM + F + G4 for 16S rRNA. The scale bar was 0.01 for 16S rRNA nucleotide substitutions per site.
Figure 3. Phylogenetic analysis of 16S rRNA gene sequences in α-, β- and γ-proteobacteria, as well as Actinobacteria. The nucleotide substitution model selected for the analysis was TVM + F + G4 for 16S rRNA. The scale bar was 0.01 for 16S rRNA nucleotide substitutions per site.
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Agronomy 12 01968 g004 550
Figure 4. Phylogenetic analysis of kdpA (a) and aqpZ (b) gene sequences in α-, β- and γ-proteobacteria, as well as Actinobacteria. The nucleotide substitution models selected for the analysis were TVM + F + I + G4 for kdpA and TPM3u + F + I + G4 for aqpZ. The scale bars were 0.01 for kdpA and aqpZ nucleotide substitutions per site.
Figure 4. Phylogenetic analysis of kdpA (a) and aqpZ (b) gene sequences in α-, β- and γ-proteobacteria, as well as Actinobacteria. The nucleotide substitution models selected for the analysis were TVM + F + I + G4 for kdpA and TPM3u + F + I + G4 for aqpZ. The scale bars were 0.01 for kdpA and aqpZ nucleotide substitutions per site.
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Agronomy 12 01968 g005 550
Figure 5. Phylogenetic analysis of betI (a) and betA (b) genes in α-, β- and γ-proteobacteria, as well as Actinobacteria. The nucleotide substitution models selected for the analysis were TPM3u + F + G4 for betI and GTR + F + G4 for betA sequences. The scale bars were 0.1 for betI and betA nucleotide substitutions per site.
Figure 5. Phylogenetic analysis of betI (a) and betA (b) genes in α-, β- and γ-proteobacteria, as well as Actinobacteria. The nucleotide substitution models selected for the analysis were TPM3u + F + G4 for betI and GTR + F + G4 for betA sequences. The scale bars were 0.1 for betI and betA nucleotide substitutions per site.
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Agronomy 12 01968 g006 550
Figure 6. Phylogenetic analysis of betB (a) and betC (b) genes in α-, β- and γ-proteobacteria, as well as Actinobacteria. The nucleotide substitution models selected for the analysis were TVM + F + I + G4 for betB and TVM + F + G4 for betC sequences. The scale bars were 0.1 for betB and 0.01 for betC nucleotide substitutions per site.
Figure 6. Phylogenetic analysis of betB (a) and betC (b) genes in α-, β- and γ-proteobacteria, as well as Actinobacteria. The nucleotide substitution models selected for the analysis were TVM + F + I + G4 for betB and TVM + F + G4 for betC sequences. The scale bars were 0.1 for betB and 0.01 for betC nucleotide substitutions per site.
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Table
Table 1. List of bacterial strains.
Table 1. List of bacterial strains.
ClassGeneraStrainBioSample
SpeciesGenBank
α-proteobacteriaSinorhizobiumS. melilotiRm1021SAMEA3283068, Rm2011SAMN02603522, USDA1106SAMN07175168, USDA1157SAMN07175169, USDA1021SAMN07175167, B399SAMN06229775, B401SAMN06227501, BL225CSAMN00017103, CCMM B554 (FSM-MA)SAMN06284128, GR4SAMN02603224, KH35cSAMN07175161, KH46SAMN07175162, HM006SAMN07175160, M162SAMN07175163, M270SAMN07175164, Rm41SAMN07175165, RMO17SAMN02952139, RU11/001SAMEA3146337, SM11SAMN02603056, T073SAMN07175166
AK83SAMN00017059 *, AK21SAMN08428886 *, AK555SAMN08826593 *, AK170SAMN10256575 *, S35mSAMN16812329 *, CXM1-105SAMN08826592 *
S. medicaeWSM419SAMN02598363
BradyrhizobiumBrad. spp.GAS369NZ_LT629750.1, ORS 278SAMEA3138227, USDA 6SAMD00060992 and USDA 110SAMN03573437
BrucellaBruc. melitensis bv. abortus2308SAMEA3138256
DevosiaD. sp.A16SAMN04156589
ChelativoransChel. sp.BNC1SAMN02598260
AgrobacteriumA. fabrumC58SAMN02603108
RhizobiumRh. etliCFN 42SAMN02603106
AzorhizobiumAzor. caulinodansORS 571SAMD00060925
GluconacetobacterGluc. diazotrophicusPA1 5SAMN02598444
AzospirillumAzo. sp.B510SAMD00060958
β-proteobacteriaCupriavidusCupr. taiwanensisLMG 19424SAMEA3138280
AzoarcusAzoarc. sp.BH72SAMEA3138261
γ-proteobacteriaKlebsiellaK. pneumoniae subsp. pneumoniaeHS11286SAMN02602959
EscherichiaE. coliK-12SAMN02604091
ActinobacteriaFrankiaF. spp.ACN14aSAMEA3138259, EAN1PecSAMN02598325, CcI3SAMN02199398
CorynebacteriumCor. glutamicumATCC 13032SAMD00061105
MycolicibacteriumM. smegmatisMC2 155NZ_LN831039.1
MycobacteriumM. spp.H37RvSAMEA3138326, AF2122/97SAMEA20450668
PimelobacterP. simplexVKM Ac-2033DSAMN03009415
* Strains from collection of Laboratory of Genetics and Selection of Microorganisms of FSBSI ARRIAM deposited in the Russian Collection of Agricultural Microorganisms (RCAM) of FSBSI ARRIAM.
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Muntyan, V.S.; Roumiantseva, M.L. Molecular Phylogenetic Analysis of Salt-Tolerance-Related Genes in Root-Nodule Bacteria Species Sinorhizobium meliloti. Agronomy 2022, 12, 1968. https://doi.org/10.3390/agronomy12081968

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Muntyan VS, Roumiantseva ML. Molecular Phylogenetic Analysis of Salt-Tolerance-Related Genes in Root-Nodule Bacteria Species Sinorhizobium meliloti. Agronomy. 2022; 12(8):1968. https://doi.org/10.3390/agronomy12081968

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Muntyan, Victoria Spartakovna, and Marina Lvovna Roumiantseva. 2022. "Molecular Phylogenetic Analysis of Salt-Tolerance-Related Genes in Root-Nodule Bacteria Species Sinorhizobium meliloti" Agronomy 12, no. 8: 1968. https://doi.org/10.3390/agronomy12081968

APA Style

Muntyan, V. S., & Roumiantseva, M. L. (2022). Molecular Phylogenetic Analysis of Salt-Tolerance-Related Genes in Root-Nodule Bacteria Species Sinorhizobium meliloti. Agronomy, 12(8), 1968. https://doi.org/10.3390/agronomy12081968

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