Next Article in Journal
Phylogeographic and Bioclimatic Determinants of the Dorsal Pattern Polymorphism in the Italian Wall Lizard, Podarcis siculus
Previous Article in Journal
Ventilation Systems in Wetland Plant Species
Previous Article in Special Issue
Survival and Genome Diversity of Vibrio parahaemolyticus Isolated from Edible Aquatic Animals
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Genomic Diversity of Bradyrhizobium from the Tree Legumes Inga and Lysiloma (Caesalpinioideae-Mimosoid Clade)

by
Diana Hernández-Oaxaca
1,*,
Karen L. Claro-Mendoza
1,
Marco A. Rogel
1,
Mónica Rosenblueth
1,
Jorge A. Velasco-Trejo
2,
Enrique Alarcón-Gutiérrez
2,
José Antonio García-Pérez
3,
Julio Martínez-Romero
1,
Euan K. James
4 and
Esperanza Martínez-Romero
1,*
1
Centro de Ciencias Genómicas, UNAM, Cuernavaca, Morelos 62210, Mexico
2
Instituto de Biotecnología y Ecología Aplicada, Universidad Veracruzana, Xalapa 91050, Mexico
3
Facultad de Biología, Universidad Veracruzana, Xalapa 91000, Mexico
4
The James Hutton Institute, Invergowrie, Dundee DD2 5DA, UK
*
Authors to whom correspondence should be addressed.
Diversity 2022, 14(7), 518; https://doi.org/10.3390/d14070518
Submission received: 8 May 2022 / Revised: 6 June 2022 / Accepted: 9 June 2022 / Published: 27 June 2022
(This article belongs to the Special Issue Recent Trends in Bacterial Diversity and Evolution)

Abstract

:
We identified diverse bradyrhizobia having distinct ERIC-PCR genomic fingerprints from native American trees Inga vera and Lysiloma spp. In addition, two nodule isolates recovered from Lysiloma divaricatum seedlings inoculated with soil from the tropical house of a UK botanical garden were also identified as Bradyrhizobium. Genomes were obtained (with sizes around 9 Mb each) from nine Inga and Lysiloma bradyrhizobial isolates; plasmids were detected in two of the Inga strains analyzed. Average Nucleotide Identity of whole genomes revealed five novel Bradyrhizobium genomospecies from Mexican trees, while the UK isolates were identified as Bradyrhizobium cajani and Bradyrhizobium brasilense. Inga vera and Lysiloma isolates, despite their genetic distances and different hosts, shared a common set of nod genes that suggested that I. vera and Lysiloma bradyrhizobia produce fucosylated, methylated and carbamylated lipochitooligosaccharides. Uptake hydrogenase hup, hyp and secretion system genes were found in some of the isolates. Lysiloma strains were found to be ineffective on I. vera. Some of the isolates may be used as plant inoculants.

1. Introduction

Legume seeds and pods are protein rich and widely used in animal production and for human nutrition. In addition, legumes, especially trees, render an ecological service by fertilizing soils through their fixation of large amounts of nitrogen [1,2]. Nitrogen fixation is due to symbiotic bacteria in nodules, with different genera of rhizobia from both alpha- and beta- proteobacteria [3,4]. Nitrogen-fixing trees inhabit nitrogen-poor soils, are considered pioneer plants, have access to deep underground water and are tolerant to environmental stress [5] and are valuable resources in the face of climate change. Legume trees are recommended for restoration [6,7,8], and in arid areas legumes may nurse cacti [9]. Nitrogen fixation enhances plant fitness and extends plant habitat colonization so much that in some cases they have become pests in introduced areas [10,11,12].
Symbiosis in legume trees is less studied than that in crop legumes. There is the general view that trees are not specific in terms of their preferences for some rhizobial types [13]; however, there are cases of specific symbiotic associations in trees [14,15], in particular that of Sesbania virgata and Azorhizobium doebereinerae [16]. Host specificity seems to be related to the rhizobial symbiovar and symbiosis islands or plasmids that contain nod genes and other symbiosis genes [17,18]; nod genes and Nod factors are key to understand legume symbiosis [19,20,21]. Nod factors induce nodule formation in the absence of bacteria; however, in a few cases (e.g., some species of the tropical wetland legume Aeschynomene), there is nodulation without Nod factors [22]. The LysR transcriptional regulator NodD induces the expression of nod genes that encode enzymes that produce Nod factors. Nodulation and legume-rhizobial interactions have been reviewed [20,21,23,24]. In addition, secretion systems have a role in symbiosis specificity [25,26].
Different rhizobial genera are found as symbionts of legume trees, and their presence in nodules might be related to abiotic conditions [27,28,29,30,31,32]. A global phylogenomic analysis of bradyrhizobia led us to predict that, in theory, there must exist over one thousand bradyrhizobial species [33]. Recently, many new Bradyrhizobium species and lineages have been described [34,35,36,37,38] and reviewed in [33]. Lysiloma isolates have not been studied, but Inga nodule bacteria from Brazil have been reported, revealing diverse symbionts [39], and Bradyrhizobium ingae was proposed for Inga laurina symbionts [40]. Previously, we studied nodule bacteria from soils with different agricultural use in Los Tuxtlas rain forest in Mexico and found several novel bradyrhizobial lineages, some capable of nodulating a native legume-tree Inga sp. in the laboratory [41] and some resembling Central American isolates [42].
Lysiloma and Inga belong to the Ingeae tribe from the Caesalpinoideae mimosoid clade. Lysiloma trees (2–8 m in height) are classified within eight species and may be found from Arizona and New Mexico to Costa Rica as well as in Florida, the Bahamas and Cuba. Lysiloma acapulcense is used as forage for cattle and deer. In Morelos, Lysiloma spp. grow in ravines in low-fertility soil; Lysiloma divaricatum is native to Mexico [43].
The genus Inga comprises around 300 species, which are found exclusively in the neotropics. It has diversified over the last 2–10 million years in three regions: Brazil, Central America and the South of Mexico, and in Western South America [44,45]. Fruits from Inga are edible [46], and the plants are used for firewood and animal food. Inga vera (and other Inga spp.) is used for shade in coffee plantations, especially in the states of Veracruz and Chiapas, Mexico [47]. Inga plants are fast growing, improve soil fertility and tolerate acid soils. Inga is nodulated by Bradyrhizobium [39,40,48,49], especially in its main center of diversification in Brazil. It was the aim of this work to study Bradyrhizobium symbionts isolated from Lysiloma sp. and from I. vera trees native to Mexico. In addition, a comparison to Lysiloma divaricatum isolates recovered in the UK was performed.

2. Materials and Methods

2.1. Bacterial Isolation, DNA Extraction, 16S rRNA and ERIC-PCR Analysis

Lysiloma sp. seeds were collected from trees in La Barranca del Tecolote, Cuernavaca, Morelos-Mexico (18°57′18″ N–99°16′36″ W) (Figure 1a). The almost complete chloroplast 16S rRNA gene sequence (1484 bp obtained with PCR using fD1 and rD1 primers [50]) from the Lysiloma trees sampled was 98.87% identical to that from Lysiloma watsonii.
Seeds were disinfected with ethanol and sodium hypochlorite as explained [51]. They were germinated on agar-water plates, and the seedlings were inoculated in 250 mL flasks with soil from the same location. L. divaricatum seeds were obtained from the Millenium Seedbank (Kew, London, UK), and seedlings of L. divaricatum were used to “trap” rhizobia from soil in the Royal Botanical Garden of Edinburgh (RBGE), UK, in which several tropical legumes were growing; this resulted in nodules that were red, indicating the presence of leghemoglobin, and hence they were likely to be fixing nitrogen. Other nodules from the same plants were used for microscopic observations, revealing that Lysiloma nodules have the anatomy typical of all the mimosoid legumes so far examined [52].
After two months, root nodule surfaces were disinfected as described [53] and crushed in YM media; strains were purified three times and were stored at −70 °C in YM with 30% (vol/vol) glycerol. DNA was extracted from all isolates with the High Pure FFPET DNA Isolation kit (Roche). Isolates were analyzed by ERIC-PCR [54], and the patterns obtained were observed in an agarose gel. Then, 16S rRNA sequences from the strains that represented different ERIC-PCR patterns were amplified with primers fD1 and rD1 [50], and they were sequenced at Macrogen, Korea, using universal primers, 518F (5′-CCAGCAGCCGCGGTAATACG-3′) and 800R (5′ TACCAGGGTATCTAATCC-3′).
Nodules and soil were sampled from 21 I. vera plants that were cultivated as shade in coffee plantations in San Marcos de León, Municipio de Xico, in the center of Veracruz, Mexico (19°25’45″ N 96°58’22″ W) (Figure 1b). I. vera seeds are sensitive to desiccation, and their germinability declines within a few weeks after maturation [55]. Thus, we used as a trap plant Macroptilium atropurpureum (siratro), which has a broad symbiotic range [56,57]. Siratro seeds were disinfected and germinated in agar-water plates. Twenty siratro seedlings inoculated with I. vera nodule extracts and rhizospheric soils were grown in 250 mL agar flasks at 28 °C in the laboratory of Ecología Genómica in the Centro de Ciencias Genómicas, UNAM. As described for Lysiloma, after two months, siratro nodules were disinfected, crushed in YM medium, purified three times and stored at −70° C. Strains that were slow growers were further inoculated onto I. vera seedlings to confirm nodulation. The isolates were also analyzed by ERIC-PCR, and those with different patterns were used for amplification of their 16S rRNA gene with primers 27f and 1492r [58] and sequenced with the same primers. A partial glnII gene was also amplified from these isolates with primers glnII 12F and glnII 689R [59] and sequenced in Macrogen, Korea.

2.2. Genome Sequencing

Bradyrhizobial genomes were sequenced with Illumina NovaSeq 6000 (2 × 150 bp) at Macrogen, Korea, and with ONT MinION at the Mass Sequencing Unit of the Institute of Biotechnology at Universidad Nacional Autónoma de México. Adapter sequences were eliminated using Trim Galore v0.4.4 [60], and a de novo hybrid assembly was generated with the Unicycler pipeline v0.4.8 [61] and with SPAdes v3.13.1 [62]. A search for plasmids was done with RFPlasmid v0.0.18 [63] in all assemblies. Plasmid assembly was performed with plasmidSPAdes v3.13 [64] for plasmid positive strains and for one plasmid negative strain as a control. Clean reads were mapped against the plasmid assembly using Bowtie2 v2.3.5.1 [65], Minimap2 v2.17 [66], Samtools v1.7 [67] and Bedtools v2.26.0 [68] to separate plasmid from chromosome, and a new assembly with no plasmid-matching reads was generated. Gene prediction and functional annotation were performed using servers RAST v2.0 with RASTtk toolkit [69] EggNogg-Mapper v2.17 [70] and Prokka v1.14.6 [71]. The search for secretion system genes was done with GhostKOALA [72]. To corroborate the presence of all coding genes for the T3SS apparatus, B. vignae ORS3257 genes were used as query, and a multiple alignment was done by Clinker [73]. The nine genomes generated in this work were deposited at NCBI under the following BioSample accession numbers: CCGUVB14 (SAMN28667582), CCGUVB1N3 (SAMN28667583), CCGUVB23 (SAMN28667584), CCGUVB4N (SAMN28667585), CCGB12 (SAMN28667586), CCGB20 (SAMN28667587), B51278 (SAMN28667588), B51279 (SAMN28667589) and CCGB01 (SAMN28667590). All raw sequences were deposited under the BioProject PRJNA842432. Genome visualization was done with Proksee of CGView [74].

2.3. Phylogenetic, Phylogenomic and Average Nucleotide Identity (ANI) Analyses

We used a total of 101 type and representative genomes of Bradyrhizobium species, some other strains of the superclade I [33], the nine strains analyzed in this study and seven Nitrobacter species as the outgroup (Table S1). Protein sequences were obtained with Prokka v1.14.6 [71] and 23,033 orthologous groups were identified by analyzing the proteomes using OrthoFinder v2.5.4 [75]. The phylogenomic species tree was generated using STAG [76] inferred from 1112 orthogroups, with 95% of species having single-copy genes in any orthogroup and the consensus species tree rooted with STRIDE [77]. The STAG support values are the fractions of orthogroup trees supporting each bipartition. The consensus species phylogenomic tree was edited with iTOL v5 [78].
A complementary analysis was done to estimate the Average Nucleotide Identity (ANIm) with the MUMmer algorithm. ANI was calculated using the pyany software [79] with default parameters. For this, we used 56 representative public genomes of the genus (updated April 2022), a representative genome of Bosea thiooxidans as an outgroup and the nine genomes generated in this study (Table S2).
The 16S rRNA sequences were edited manually with Bioedit v7.0.5 [80] and aligned with the program Infernal v1.1 [81] through the online platform Ribosomal Database Project v11.5 [82], and they were trimmed manually with MEGA X [83]. The glnII sequences and rpoB, recA, glnII and gyrB concatenated sequences were aligned with the online server RevTrans v2.0 [84]. Nucleotide alignments were carried out with the program MUSCLE v3.8.425 [85]; the alignments were also trimmed with MEGA X, and the Maximum likelihood phylogenies were constructed with IQ-Tree v1.6.11 [86,87] using 1000 ultrafast-bootstrap pseudoreplicates and with the best fit model according to the Akaike information criterion (AIC). For 16S rRNA and glnII phylogenies, the model used was GTR+I+G4, with 1196 nt for 16S and 523 for glnII. In the concatenated rpoB, recA, glnII and gyrB phylogeny, the analysis included 2103 nucleotides and the model used was GTR+F+I+G4 and the ANI values were calculated. Sequences from other Inga spp. isolates were also included, as well as Bosea thiooxidans or B. elkanii as an outgroup. All phylogenetic trees were edited with iTOL v5 [78].

2.4. Nodulation Assays and Nitrogenase Activity Assay

Lysiloma sp. seedlings were inoculated with each strain that was selected as being representative of the different ERIC-PCR profiles, with three replications for each strain in agar flasks with Fahraeus solution [88]. Acetylene reduction activity (ARA) was measured as previously described using a gas chromatograph [53]. Ten I. vera isolates, each with a different glnII sequence, were used to inoculate I. vera seedlings in the Instituto de Biotecnología y Ecología Aplicada (INBIOTECA) of the Universidad Veracruzana, Mexico. Inoculation assays were performed in vermiculite contained in 250 mL bottles watered with Fahraeus medium, with two plants per bottle and four repetitions. After three months in greenhouse conditions (21.22 ± 5.3 °C and 76.74 ± 14.43% relative humidity), the plants were harvested, fresh and dry weights obtained (plants and nodules) and ARA was measured as described [53]. ANOVA analyses with Tukey tests were performed.

3. Results and Discussion

3.1. Rhizobial Diversity in Lysiloma and I. vera Nodules

3.1.1. Nodule Isolates, Growth and Genomic Fingerprints

Sixty-nine isolates were obtained from nodules of six Lysiloma plants. All the isolates were slow-growing rhizobia forming colonies after seven days. All isolates formed nodules on Lysiloma in subsequent reinoculation assays. Ten different ERIC-PCR profiles (Figure S1a) were obtained from 25 isolates tested. Three different strains from three different plants representing distinct ERIC patterns were selected for whole genome sequencing; one of these, CCGB01, corresponded to the most abundant pattern of ERIC-PCRs, while CCGB12 and CCGB20 exhibited the highest ARA activities with Lysiloma sp. plants.
I. vera bradyrhizobial isolates were obtained with a trap-plant approach, except for isolates CCGUVB23 and CCGUVB40 (that have the same ERIC pattern), which were isolated directly from I. vera nodules on two individual trees (6.2 m and 7.0 m in height, respectively, and both with a 31.2 cm trunk diameter) in a Veracruz field with a soil pH of 3.82. Seventeen isolates were obtained from siratro inoculated with nodule extracts or with soil from the rhizosphere of I. vera from San Marcos de León, Xico, Veracruz, Mexico. All isolates grew in YM medium and were slow-growing rhizobia forming visible colonies at around 9 to 12 days. All of them were capable of forming nodules on I. vera in further inoculation assays with different levels of ARA activity (data not shown). Fingerprints obtained by ERIC-PCR showed ten distinct patterns (Figure S1b). Isolates that performed better when inoculated onto I. vera plants (i.e., resulted in significantly higher plant biomass Figure S2), were chosen for genome sequencing.

3.1.2. Phylogenies of Several Nodule Isolates with Selected Genes

Phylogenies were obtained with 16S rRNA (Figure 2a) and glnII (Figure 2b) gene sequences, and both reconstructions showed that all isolated strains belonged to the genus Bradyrhizobium and allowed a comparison to several reported bradyrhizobial strains with sequences from these gene markers available. In these phylogenies, I. vera isolates clustered into three phylogenetic groups; some had gene sequences that resembled those previously reported from Los Tuxtlas soils [41] in South of Veracruz. Some isolates related to CCGUVB1N3 were close to BRUESC1066 from Inga ingoides isolated in Brazil [39]. Isolates related to CCGUVB23 had identical glnII and 16S rRNA sequences to TUX-10, which was close to BRUESC644 from Brazil. CCGUVB14 and CCGUVB4N were related to isolates from diverse plants as well as some others isolated from diverse Inga species, such as TUX-15, BRUESC1084 and BRUESC441 [39]. Isolate CCGB01 was close to isolate CCGB20 and TUX-7 and CCGB12 was closer to TUX-4; TUX strains were isolated from Los Tuxtlas soils in Veracruz [41].
To compare to Bradyrhizobium ingae, for which there is no genome available but only the sequence of marker genes, we performed a phylogenetic tree of glnII, gyrB, recA and rpoB concatenated gene sequences (Figure 3). None of the newly found genomospecies corresponded to B. ingae. In all trees, the Lysiloma strain B51278 clustered within the elkanii superclade, whereas all the other strains clustered within the japonicum superclade [33].
The species tree was inferred from 1133 orthogroups, with 95% of species having single-copy genes in any orthogroup, and the consensus tree was created from 21,907 gene trees (Figure 4). The orthologous species consensus tree showed that B51278 clustered with B. brasilense and strain B51279 with B. cajani; this clustering was also seen in the 16S rRNA and glnII phylogenetic trees. Lysiloma CCGB01 and CCGB20 strains clustered together, and the Inga CCGUVB14 and CCGUVB4N were also grouped.

3.1.3. Genome Sizes, Phylogenomics and ANI of Genomes

Genome sequences are very useful to define bacterial diversity, with ANI and in silico DDH as parameters for comparison to large numbers of bacteria [89]. To complement the phylogenetic and phylogenomic results, we performed an ANI analysis with representative genomes from Bradyrhizobium and the obtained genomes. From ANI and DDH results, Lysiloma and I. vera isolates were distantly related to other species. According to ANI results, the closest species to CCGB01 and CCGB20 was B. lupini (91.05%); to CCGB12, B. zhanjiangense (90.62%); to CCGUVB14 and CCGUVB4N, B. rifense (91.83%) and to CCGUVB1N3 and CCGUVB23, B. centrolobii (87.60%) (Table 1). These values are below the 95/96% established limit for bacterial species classification; thus, the Lysiloma sp. and I. vera isolates could represent novel species. ANI results were consistent with the species consensus tree, confirming that B51278 and B51279 isolated from L. divaricatum corresponded to B. brasilense and B. cajani, respectively. In addition, the percentage of ANI among the isolates that showed a close relationship in the phylogenetic analysis was more than 98%, confirming their belonging to the same species (Table S3).

3.2. Genomic Diversity

All the bradyrhizobial isolates from the studied Inga and Lysiloma species have very large genomes and a similar GC content (Table 1, Figure 5). We found non-symbiotic plasmids in only two strains from I. vera and, accordingly, three and two copies of repB genes (for plasmid replication) were found in the I. vera CCGUVB23 and CCGUVB1N3 genomes, respectively. Plasmids are not frequently found in Bradyrhizobium [48]. All the genomes of the isolates showed a putative symbiotic island, with the exception of strain B51278 although it has the nodulation genes that are found in the symbiosis islands in other isolates.

3.3. nod Genes in I. vera and Lysiloma Bradyrhizobia

Irrespective of their host or site of isolation, bradyrhizobia from Inga vera and Lysiloma spp. share a common core of nod genes (Figure 6) that provide hints on the molecular structure of their Nod factors, which may be fucosylated, methylated and carbamylated due to the presence of nodZ, nodS, nodU, nolO and noeI. Fucosylation of Nod factors seems to be quite common in bradyrhizobia. Besides fucosyation, sulfation of Nod factors may occur in one of the I. vera isolates, which could enlarge the host range.
Gene transfer has been reported for B. japonicum introduced strains and native B. elkanii in soybean in Brazil [90]. The search of nod genes in the Lysiloma isolates from the UK B. cajani isolate B51279 from L. divaricatum added evidence for horizontal gene transfer events in Bradyrhizobium because the B. cajani B51279 isolate from the japonicum group showed nod, nol and nifH genes similar to those from B51278 from the elkanii group.
The nodH gene is not commonly found in bradyrhizobia, but it is found in some species of Rhizobium and Sinorhizobium. In the complete genome of the I. vera isolate CCGUVB4N, we found a nodH gene in the symbiosis island, suggesting the sulfation of Nod factors besides fucosylation, which could enlarge the host range of the strain. A nodH phylogeny showed that it is related to the corresponding gene from Methylobacterium nodulans, which produces sulfated Nod factors [91] (data not shown). We also found a nodX gene in the symbiosis island in the complete genome of the I. vera isolate CCGUVB14 (Figure S5). The nodX gene encodes an acetyl transferase that mediates the O-acetylation of the Nod factor at the acetylglucosamine residue in the reducing end [92]. Originally, nodX was discovered in Rhizobium leguminosarum nodulating Middle East peas and a relic legume Vavilovia formosa, and an Oriental origin of this gene was proposed [93]. Most European and American R. leguminosarum strains do not contain nodX. Phylogenies of the nodX gene from the Inga isolate CCGUVB14 showed that it is related to acyltransferases from bradyrhizobia (data not shown).
NolR and SyrM control the level of Nod factor production in a Sinorhizobium strain with a broad host range [94,95] and have effects on nodulation specificity in plants [94,95,96]. SyrM regulates the expression of a large number of genes and has not been reported in Bradyrhizobium; however, we detected the syrM gene in most of the Bradyrhizobium genomes we sequenced (Figure 6), and their phylogenies revealed their relationships to the corresponding genes in several bradyrhizobial strains (not shown).

3.4. Hydrogenases

Increased plant dry weight, yield and nitrogen fixation have been reported in soybean plants inoculated with bradyrhizobia that harbor uptake hydrogenases (encoded by hup and hyp genes), which capture the hydrogen produced by nitrogenases [97]. Plants may provide nickel for hydrogenase structure and function [98]. The I. vera isolates CCGUVBIN3, CCGUVB14 and CCGUVB23 (with high nitrogen-fixing capability) as well as B55278 and B55279 have the structural hydrogenase hupSL genes, which were not found in the Lysiloma sp. isolates from Mexico despite having few other hup genes (Figure S3). The high nickel concentrations in Los Tuxtlas soils [99] may favor the existence of uptake hydrogenases in native bradyrhizobia, such as those from I. vera.

3.5. Secretion Systems

Secretion systems transport molecules from bacterial cells into host cells and may modulate plant defense responses. Distinct secretion systems are known to be in Gram-negative bacteria and have been extensively studied in pathogens, but they may also play a role in nodulation and host specificity in symbionts [26,100,101,102]. Genes for different types of secretion systems were found (Figure 7a). The type 3 secretion system (T3SS) has a determinant role in some legume rhizobial symbioses [26,100,101,102,103,104]. The alignment to the B. vignae T3SS gene region [105] showed that the isolates of L. divaricatum possess all these genes, and the I. vera isolates had all the genes but a y4yS homolog (Figure 7b). A y4yS of unknown function is required for the formation of the Mesorhizobium loti T3SS secretin (RhcC2) complex [106]. However, we found the rhc1 and rhc2 (secretin, for adhesion) T3SS genes in I. vera isolates. T3SS may enlarge the bacterial host range by inhibiting plant innate defense reactions [26,103,104]. T3SS genes were not found in Lysiloma sp. isolates. Thus, we may speculate that Inga vera isolates have a broader host range than Lysiloma isolates and coincidently nodX and nodH genes, which could contribute to the enlargement of the host range, were also found in I. vera isolates. The bradyrhizobial isolates from Lysiloma sp., although capable of forming nodules in I. vera, did not promote plant growth (Figure S4).
The nolBTUV operon was found in S. fredii USDA257 to be expressed in the presence of flavonoids. The nolB gene constitutes part of the type 3 secretion system, and it is specifically required to form nodules on the Erythrina costaricensis tree [107]. The genomes from all our Inga and Lysiloma isolates studied here had the nolB gene (Figure 6), but none had the ernA gene that encodes a T3SS effector, which induces nodule formation in the absence of Nod factors [108].
Type 6 secretion systems are found in different bacteria [109], including symbionts. The vasA (tssF) gene from the type 6 secretion system (T6SS) was found in the I. vera isolates CCGUVB1N3 and CCGUVB23. VasA is a structural component and key for T6SS. In Rhizobium etli symbiovar mimosa, T6SS promoted tree nodulation [110].
Lysiloma and Inga trees both belong to the Ingeae tribe but are from different geographical regions with different soil conditions and temperatures. A large plant diversity, such as that of Inga with 300 species, could promote rhizobial diversity, which is generated by different genetic mechanisms in bacteria [111]. Different tree legumes in a site may converge and maintain a selection of a group of symbionts that are not identical but would be suitable to form nodules in various sympatric legumes. This would have practical advantages in sites where a specific legume density is low, such as in the rain forests in Veracruz. Specificity seems not to be related to bacterial phylogenies and would depend on accessory genes that may be transferred between bacteria [90,112,113,114].

3.6. Novel Genomospecies

A novel metric to define species arose with genomics, i.e., ANI with a limit of 95/96% between species. Here we discovered upon inspection of ANI results that Bradyrhizobium liaoningense [115] and Bradyrhizobium diversitatis [116] share a large ANI (98.65%), suggesting that they are synonymous species. The ANI of B51278 was 97% in comparison to Bradyrhizobium brasilense, and that of B51279 was 99.99% compared to B. cajani; thus, they were assigned to their corresponding species. ANI (98%) showed that CCGUVB4N and CCGUVB14 belong to the same species. They exhibited different ERIC-PCR fingerprints (Figure S1, Table S3), indicating that they are not siblings.
Some of the Inga isolates from Mexico resembled Bradyrhizobium ingae, which was proposed from Inga laurina in Brazil using the phylogenetic analysis of glnII, gyrB, recA and rpoB and dnak, in addition to phenotypic characteristics [40]. A concatenated five gene phylogeny and the corresponding ANI showed that CCGUVB23 was related to Bradyrhizobium ingae, but the ANI value obtained was below the limit to define species (97%), with few concatenated genes. The phylogenetic relationship to this species needs to be further clarified by comparison with the B. ingae genome. Finally, we identified five novel genomospecies among the isolates: three for I. vera and two for Lysiloma sp. Inga vera isolate CCGUVB23 and TUX-10 belong to genomospecies I; Inga vera isolate CCGUVB1N3 belongs to genomospecies II; Inga vera isolates CCGBUVB14 and CCGBUVB4N correspond to genomospecies III; Lysiloma sp. isolates CCGB20, CCGB01 and TUX7 belong to genomospecies IV; and Lysiloma sp. isolate CCGB12 and TUX-4 belong to genomospecies V. CCGB20 and CCGB01 had an ANI of 98.29, showing that they belong to the same species but are not identical, with distinct genome sizes and ERIC-PCR fingerprints.

4. Concluding Remarks

Most reported studies on bradyrhizobial diversity have made use of PCR products (which in many cases are incomplete genes) and subsequent sequencing [41,59,112,117,118,119,120]. Here, the bacterial diversity and nod gene content of nodule isolates from the legume trees Lysiloma spp. and I. vera was studied on a genome basis. The ANI values obtained from genome comparisons allowed us to identify five novel genomospecies that could represent new Bradyrhizobium species for Inga and Lysiloma.
L. divaricatum nodule bacteria are not known in its native site, but we suppose they are not the same encountered in the soil from the RBGE. Rhizobia capable of forming nodules in a legume species generally co-exist with the host plant; however, legumes may pick up new symbionts in new environments [121,122,123].
The search for nod genes in Bradyrhizobium genomes is particularly valuable because these bacteria are not easily studied by genetic approaches, and the knowledge of the symbiosis genes in bradyrhizobia from native legumes is very poor. Common and host specificity nodulation genes that are responsible for Nod factor synthesis were identified in all isolates, suggesting that Bradyrhizobium from Inga and Lysiloma produce Nod factors with a similar chemical structure; however, a few isolates may produce a wider repertoire of Nod factors. Other symbiosis genes, such as those for uptake hydrogenases and for secretion systems, were differentially distributed among the isolates. The results presented provide the basis to further study tree symbioses and the host selection of the best adapted strains that would lead to rhizobial specificity [124,125].

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/d14070518/s1, Link to the GitHub repository with all bioinformatic analysis. Figure S1: ERIC-PCR profiles; Figure S2: Fresh weight of the above ground portion of the plant of Inga vera inoculated with the different Bradyrhizobium isolates; Table S1: Accession numbers of representative genomes of Bradyrhizobium species used in the phylogenomic analysis; Table S2: Accession numbers of representative genomes of Bradyrhizobium species used to perform ANI analysis; Table S3: Average Nucleotide Identity of representative Bradyrhizobium species. Figure S3. Bradyrhizobium hup and hyp genes; Figure S4: Effect of Bradyrhizobium on the growth of Inga vera plant; Figure S5: Zoom view of the putative symbiotic island of CCGUVB14.

Author Contributions

D.H.-O. was responsible for the assemblies, annotation and analyses of genomes, phylogenomic analysis and analysis of symbiotic genes, and wrote part of the paper. K.L.C.-M. performed the ERIC-PCR and DNA extraction of Lysiloma sp. strains, analysis of CCGB01 and its symbiotic island, part of the phylogenomic analysis, and phylogenies. M.A.R. isolated the Lysiloma sp. strains and performed ERIC-PCR, acetylene reduction, and extraction of DNA. M.R. isolated the I. vera strains and performed nodulation assays, PCRs, and phylogenies. J.A.V.-T. isolated I. vera strains, provided the seeds and soil from the I. vera fields, and performed nodulation assays of I. vera. E.A.-G. and J.A.G.-P. contributed to discussions and the design of nodulation experiments. J.M.-R. was responsible for phylogenetic trees and references. E.K.J. provided the Illumina raw genomes of an isolate of L. divaricatum from nodules grown in soil from the RBGE. E.M.-R. performed the writing of the paper and research coordination. E.M.-R., E.K.J., M.R., D.H.-O. and J.M.-R. reviewed and edited the paper. All authors have read and agreed to the published version of the manuscript.

Funding

To PAPIIT IN210021 from UNAM to Esperanza Martinez Romero. D.H.-O. is a PhD student from Programa de Maestria y Doctorado en Ciencias Bioquímicas, UNAM, and she received a CONACYT fellowship (416086).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are available in the Supplementary File.

Acknowledgments

We would like to thank Leif Eriksson for providing the Lysiloma sp. seeds, soil and nodules from the Lysiloma sp. In addition, we would like to thank Alfredo José Hernández Álvarez from the Center of Genomic Science for his valuable support in cluster functionality.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Andrews, M.; James, E.K.; Sprent, J.I.; Boddey, R.M.; Gross, E.; dos Reis, F.B., Jr. Nitrogen fixation in legumes and actinorhizal plants in natural ecosystems: Values obtained using15N natural abundance. Plant Ecol. Divers. 2011, 4, 131–140. [Google Scholar] [CrossRef]
  2. Ferreira da Silva, A.; Santiago de Freitas, A.D.; Costa, T.L.; Fernandes-Junior, P.I.; Martins, L.M.V.; de Rosalia e Silva Santos, C.E.; Menezes, K.A.S.; de Sa Barretto Sampaio, E.V. Biological nitrogen fixation in tropical dry forests with different legume diversity and abundance. Nutr. Cycl. Agroecosyst. 2017, 107, 321–334. [Google Scholar] [CrossRef]
  3. Sprent, J.I.; Ardley, J.; James, E.K. Biogeography of nodulated legumes and their nitrogen-fixing symbionts. New Phytol. 2017, 215, 40–56. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Ardley, J.; Sprent, J. Evolution and biogeography of actinorhizal plants and legumes: A comparison. J. Ecol. 2021, 109, 1098–1121. [Google Scholar] [CrossRef]
  5. Sprent, J.I.; Parsons, R. Nitrogen fixation in legume and non-legume trees. Field Crop. Res. 2000, 65, 183–196. [Google Scholar] [CrossRef]
  6. Franco, A.A.; De Faria, S.M. The contribution of N2-fixing tree legumes to land reclamation and sustainability in the tropics. Soil Biol. Biochem. 1997, 29, 897–903. [Google Scholar] [CrossRef]
  7. Diabate, M.; Munive, J.-A.; De Faria, S.M.; Ba, A.; Dreyfus, B.; Galiana, A. Occurrence of nodulation in unexplored leguminous trees native to the West African tropical rainforest and inoculation response of native species useful in reforestation. New Phytol. 2005, 166, 231–239. [Google Scholar] [CrossRef]
  8. de Faria, S.M.; Balieiro, F.D.C.; Paula, R.R.; Santos, F.M.; Zilli, J.E. Biological Nitrogen Fixation (BNF) in Mixed-Forest Plantations. In Mixed Plantations of Eucalyptus and Leguminous Trees; Bran Nogueira Cardoso, E., Gonçalves, J., Balieiro, F., Franco, A., Eds.; Springer: Cham, Switzerland, 2020. [Google Scholar] [CrossRef]
  9. Moreno, M.; De-Bashan, L.E.; Hernandez, J.-P.; Lopez, B.R.; Bashan, Y. Success of long-term restoration of degraded arid land using native trees planted 11 years earlier. Plant Soil 2017, 421, 83–92. [Google Scholar] [CrossRef]
  10. Vítková, M.; Müllerová, J.; Sádlo, J.; Pergl, J.; Pyšek, P. Black locust (Robinia pseudoacacia) beloved and despised: A story of an invasive tree in Central Europe. For. Ecol. Manag. 2017, 384, 287–302. [Google Scholar] [CrossRef]
  11. Vítková, M.; Sádlo, J.; Roleček, J.; Petřík, P.; Sitzia, T.; Müllerová, J.; Pyšek, P. Robinia pseudoacacia-dominated vegetation types of Southern Europe: Species composition, history, distribution and management. Sci. Total Environ. 2020, 707, 134857. [Google Scholar] [CrossRef]
  12. Sankaran, K.V.; Murphy, S.T.; Sreenivasan, M.A. When good trees turn bad: The unintended spread of introduced plantation tree species in India. The unwelcome guests. In Proceedings of the Asia-Pacific Forest Invasive Species Conference, Kunming, China, 17–23 August 2005; pp. 39–46. [Google Scholar]
  13. Swelim, D.M.; Hashem, F.M.; Kuykendall, L.D.; Hegazi, N.I.; Abdel-Wahab, S.M. Host specificity and phenotypic diversity of Rhizobium strains nodulating Leucaena, Acacia, and Sesbania in Egypt. Biol. Fertil. Soils 1997, 25, 224–232. [Google Scholar] [CrossRef]
  14. Florentino, L.A.; Guimarães, A.P.; Rufini, M.; Da Silva, K.; Moreira, F.M.D.S. Sesbania virgata stimulates the occurrence of its microsymbiont in soils but does not inhibit microsymbionts of other species. Sci. Agric. 2009, 66, 667. [Google Scholar] [CrossRef]
  15. Florentino, L.A.; Moreira, F.M.S. Symbiotic and phenotypi characteristics of Azorhizobium doebereinerae, microsymbiot of Sesbania virgata. Rev. Árvore 2009, 33, 215–226. [Google Scholar] [CrossRef] [Green Version]
  16. Moreira, F.M.D.S.; Cruz, L.; de Faria, S.M.; Marsh, T.; Martínez-Romero, E.; Pedrosa, F.D.O.; Pitard, R.M.; Young, J.P.W. Azorhizobium doebereinerae sp. nov. Microsymbiont of Sesbania virgata (Caz.) Pers. Syst. Appl. Microbiol. 2006, 29, 197–206. [Google Scholar] [CrossRef]
  17. Rogel, M.A.; Ormeño-Orrillo, E.; Romero, E.M. Symbiovars in rhizobia reflect bacterial adaptation to legumes. Syst. Appl. Microbiol. 2011, 34, 96–104. [Google Scholar] [CrossRef]
  18. Rogel, M.A.; Bustos, P.; Santamaría, R.I.; González, V.; Romero, D.; Cevallos, M.; Lozano, L.; Castro-Mondragón, J.; Martínez-Romero, J.; Ormeño-Orrillo, E.; et al. Genomic basis of symbiovar mimosae in Rhizobium etli. BMC Genom. 2014, 15, 575. [Google Scholar] [CrossRef] [Green Version]
  19. Dénarié, J.; Debellé, F.; Promé, J.-C. Rhizobium Lipo-Chitooligosaccharide Nodulation Factors: Signaling Molecules Mediating Recognition and Morphogenesis. Annu. Rev. Biochem. 1996, 65, 503–535. [Google Scholar] [CrossRef]
  20. Downie, J.A. Legume nodulation. Curr. Biol. 2014, 24, R184–R190. [Google Scholar] [CrossRef] [Green Version]
  21. Spaink, H.P. Root Nodulation and Infection Factors Produced by Rhizobial Bacteria. Annu. Rev. Microbiol. 2000, 54, 257–288. [Google Scholar] [CrossRef] [Green Version]
  22. Giraud, E.; Moulin, L.; Vallenet, D.; Barbe, V.; Cytryn, E.; Avarre, J.-C.; Jaubert, M.; Simon, D.; Cartieaux, F.; Prin, Y.; et al. Legumes Symbioses: Absence of Nod Genes in Photosynthetic Bradyrhizobia. Science 2007, 316, 1307–1312. [Google Scholar] [CrossRef]
  23. Yang, J.; Lan, L.; Jin, Y.; Yu, N.; Wang, D.; Wang, E. Mechanisms underlying legume–rhizobium symbioses. J. Integr. Plant Biol. 2022, 64, 244–267. [Google Scholar] [CrossRef] [PubMed]
  24. Andrews, M.; Andrews, M.E. Specificity in Legume-Rhizobia Symbioses. Int. J. Mol. Sci. 2017, 18, 705. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. De Lyra, M.D.C.C.P.; Baena, F.J.L.; Madinabeitia, N.; Vinardell, J.M.; Espuny, M.R.; Cubo, M.T.; Belloguin, R.A.; Ruiz-Sainz, J.E.; Ollero, F.J. Inactivation of the Sinorhizobium fredii HH103 rhcJ gene abolishes nodulation outer proteins (Nops) secretion and decreases the symbiotic capacity with soybean. Int. Microbiol. Off. J. Span. Soc. Microbiol. 2006, 9, 125–133. [Google Scholar]
  26. Teulet, A.; Camuel, A.; Perret, X.; Giraud, E. The Versatile Roles of Type III Secretion Systems in Rhizobia-Legume Symbioses. Annu. Rev. Microbiol. 2022, 76, 45–65. [Google Scholar] [CrossRef] [PubMed]
  27. Rathi, S.; Tak, N.; Bissa, G.; Chouhan, B.; Ojha, A.; Adhikari, D.; Barik, S.K.; Satyawada, R.R.; Sprent, J.I.; James, E.K.; et al. Selection of Bradyrhizobium or Ensifer symbionts by the native Indian caesalpinioid legume Chamaecrista pumila depends on soil pH and other edaphic and climatic factors. FEMS Microbiol. Ecol. 2018, 94, fiy180. [Google Scholar] [CrossRef]
  28. Elliott, G.N.; Chou, J.-H.; Chen, W.-M.; Bloemberg, G.V.; Bontemps, C.; Martínez-Romero, E.; Velázquez, E.; Young, J.P.W.; Sprent, J.I.; James, E.K. Burkholderia spp. are the most competitive symbionts of Mimosa, particularly under N-limited conditions. Environ. Microbiol. 2009, 11, 762–778. [Google Scholar] [CrossRef]
  29. dos Reis, F.B., Jr.; Simon, M.F.; Gross, E.; Boddey, R.M.; Elliott, G.N.; Neto, N.E.; Loureiro, M.D.F.; de Queiroz, L.P.; Scotti, M.R.; Chen, W.; et al. Nodulation and nitrogen fixation by Mimosa spp. in the Cerrado and Caatinga biomes of Brazil. New Phytol. 2010, 186, 934–946. [Google Scholar] [CrossRef] [Green Version]
  30. Bontemps, C.; Rogel, M.A.; Wiechmann, A.; Mussabekova, A.; Moody, S.; Simon, M.F.; Moulin, L.; Elliott, G.N.; Lacercat-Didier, L.; Dasilva, C.; et al. Endemic Mimosa species from Mexico prefer alphaproteobacterial rhizobial symbionts. New Phytol. 2016, 209, 319–333. [Google Scholar] [CrossRef] [Green Version]
  31. Pires, R.D.C.; dos Reis, F.B., Jr.; Zilli, J.E.; Fischer, D.; Hofmann, A.; James, E.K.; Simon, M.F. Soil characteristics determine the rhizobia in association with different species of Mimosa in central Brazil. Plant Soil 2018, 423, 411–428. [Google Scholar] [CrossRef] [Green Version]
  32. Zilli, J.; Carvalho, C.P.d.M.; Macedo, A.V.D.M.; Soares, L.H.D.B.; Gross, E.; James, E.K.; Simon, M.F.; de Faria, S.M. Nodulation of the neotropical genus Calliandra by alpha or betaproteobacterial symbionts depends on the biogeographical origins of the host species. Braz. J. Microbiol. Publ. Braz. Soc. Microbiol. 2021, 52, 2153–2168. [Google Scholar] [CrossRef]
  33. Ormeño-Orrillo, E.; Martinez-Romero, E. A Genomotaxonomy View of the Bradyrhizobium Genus. Front. Microbiol. 2019, 10, 1334. [Google Scholar] [CrossRef] [PubMed]
  34. Avontuur, J.R.; Palmer, M.; Beukes, C.W.; Chan, W.Y.; Tasiya, T.; van Zyl, E.; Coetzee, M.P.; Stepkowski, T.; Venter, S.N.; Steenkamp, E.T. Bradyrhizobium altum sp. nov., Bradyrhizobium oropedii sp. nov. and Bradyrhizobium acaciae sp. nov. from South Africa show locally restricted and pantropical nodA phylogeographic patterns. Mol. Phylogenetics Evol. 2022, 167, 107338. [Google Scholar] [CrossRef] [PubMed]
  35. Michel, D.C.; Da Costa, E.M.; Guimarães, A.A.; De Carvalho, T.S.; Caputo, P.S.D.C.; Willems, A.; Moreira, F.M.D.S. Bradyrhizobium campsiandrae sp. nov., a nitrogen-fixing bacterial strain isolated from a native leguminous tree from the Amazon adapted to flooded conditions. Arch. Microbiol. 2021, 203, 233–240. [Google Scholar] [CrossRef] [PubMed]
  36. Aserse, A.A.; Woyke, T.; Kyrpides, N.; Whitman, W.B.; Lindstrom, K. Draft genome sequences of Bradyrhizobium shewense sp. nov. ERR11T and Bradyrhizobium yuanmingense CCBAU 10071T. Stand. Genom. Sci. 2017, 12, 74. [Google Scholar] [CrossRef] [Green Version]
  37. da Costa, E.M.; Guimarães, A.A.; de Carvalho, T.S.; Rodrigues, T.L.; Ribeiro, P.R.D.A.; Lebbe, L.; Willems, A.; Moreira, F.M.D.S. Bradyrhizobium forestalis sp. nov., an efficient nitrogen-fixing bacterium isolated from nodules of forest legume species in the Amazon. Arch. Microbiol. 2018, 200, 743–752. [Google Scholar] [CrossRef]
  38. Tian, R.; Parker, M.; Seshadri, R.; Reddy, T.; Markowitz, V.; Ivanova, N.; Pati, A.; Woyke, T.; Baeshen, M.N.; Baeshen, N.A.; et al. High-quality permanent draft genome sequence of Bradyrhizobium sp. Tv2a.2, a microsymbiont of Tachigali versicolor discovered in Barro Colorado Island of Panama. Stand. Genom. Sci. 2015, 10, 27. [Google Scholar] [CrossRef] [Green Version]
  39. Rhem, M.F.K.; Silva, V.C.; dos Santos, J.M.F.; Zilli, J.; James, E.K.; Simon, M.F.; Gross, E. The large mimosoid genus Inga Mill. (tribe Ingeae, Caesalpinioideae) is nodulated by diverse Bradyrhizobium strains in its main centers of diversity in Brazil. Syst. Appl. Microbiol. 2021, 44, 126268. [Google Scholar] [CrossRef]
  40. Da Silva, K.; De Meyer, S.; Rouws, L.F.M.; Farias, E.N.C.; Dos Santos, M.A.O.; O’Hara, G.; Ardley, J.K.; Willems, A.; Pitard, R.M.; Zilli, J.E. Bradyrhizobium ingae sp. nov., isolated from effective nodules of Inga laurina grown in Cerrado soil. Int. J. Syst. Evol. Microbiol. 2014, 64, 3395–3401. [Google Scholar] [CrossRef]
  41. Ormeño-Orrillo, E.; Rogel-Hernández, M.A.; Lloret, L.; López-López, A.; Martínez, J.; Barois, I.; Martínez-Romero, E. Change in Land Use Alters the Diversity and Composition of Bradyrhizobium Communities and Led to the Introduction of Rhizobium etli into the Tropical Rain Forest of Los Tuxtlas (Mexico). Microb. Ecol. 2012, 63, 822–834. [Google Scholar] [CrossRef]
  42. Parker, M.A. Divergent Bradyrhizobium symbionts on Tachigali versicolor from Barro Colorado Island, Panama. Syst. Appl. Microbiol. 2000, 23, 585–590. [Google Scholar] [CrossRef]
  43. Cervantes, V.; Arriaga, V.; Meave, J.; Carabias, J. Growth analysis of nine multipurpose woody legumes native from southern Mexico. For. Ecol. Manag. 1998, 110, 329–341. [Google Scholar] [CrossRef]
  44. Pennington, T.D. The Genus Inga: Botany; Royal Botanic Gardens: London, UK, 1997; p. 844. [Google Scholar]
  45. Richardson, J.E.; Pennington, R.T.; Pennington, T.D.; Hollingsworth, P.M. Rapid Diversification of a Species-Rich Genus of Neotropical Rain Forest Trees. Science 2001, 293, 2242–2245. [Google Scholar] [CrossRef] [PubMed]
  46. Teixeira, N.; Melo, J.C.; Batista, L.F.; Paula-Souza, J.; Fronza, P.; Brandão, M.G. Edible fruits from Brazilian biodiversity: A review on their sensorial characteristics versus bioactivity as tool to select research. Food Res. Int. 2019, 119, 325–348. [Google Scholar] [CrossRef] [PubMed]
  47. López-Gómez, A.M.; Williams-Linera, G.; Manson, R. Tree species diversity and vegetation structure in shade coffee farms in Veracruz, Mexico. Agric. Ecosyst. Environ. 2008, 124, 160–172. [Google Scholar] [CrossRef]
  48. Guimarães, A.A.; Florentino, L.A.; Almeida, K.A.; Lebbe, L.; Silva, K.B.; Willems, A.; Moreira, F.M.D.S. High diversity of Bradyrhizobium strains isolated from several legume species and land uses in Brazilian tropical ecosystems. Syst. Appl. Microbiol. 2015, 38, 433–441. [Google Scholar] [CrossRef]
  49. Possette, R.F.D.S.; Rodrigues, W.A. O gênero Inga Mill. (Leguminosae-Mimosoideae) no estado do Paraná, Brasil. Acta Bot. Bras. 2010, 24, 354–368. [Google Scholar] [CrossRef] [Green Version]
  50. Weisburg, W.G.; Barns, S.M.; Pelletier, D.A.; Lane, D.J. 16S ribosomal DNA amplification for phylogenetic study. J. Bacteriol. 1991, 173, 697–703. [Google Scholar] [CrossRef] [Green Version]
  51. Martinez-Romero, E.; Rosenblueth, M. Increased Bean (Phaseolus vulgaris L.) Nodulation Competitiveness of Genetically Modified Rhizobium Strains. Appl. Environ. Microbiol. 1990, 56, 2384–2388. [Google Scholar] [CrossRef] [Green Version]
  52. de Faria, S.M.; Ringelberg, J.J.; Gross, E.; Koenen, E.J.M.; Cardoso, D.; Ametsitsi, G.K.D.; Akomatey, J.; Maluk, M.; Tak, N.; Gehlot., H.S.; et al. The innovation of the symbiosome has enhanced the evolutionary stability of nitrogen fixation in legumes. bioRxiv 2022. bioRxiv:2022.03.04.482842. [Google Scholar] [CrossRef]
  53. Rogel, M.A.; Hernández-Lucas, I.; Kuykendall, L.D.; Balkwill, D.L.; Martinez-Romero, E. Nitrogen-Fixing Nodules with Ensifer adhaerens Harboring Rhizobium tropici Symbiotic Plasmids. Appl. Environ. Microbiol. 2001, 67, 3264–3268. [Google Scholar] [CrossRef] [Green Version]
  54. Versalovic, J.; Koeuth, T.; Lupski, R. Distribution of repetitive DNA sequences in eubacteria and application to finerpriting of bacterial enomes. Nucleic Acids Res. 1991, 19, 6823–6831. [Google Scholar] [CrossRef] [PubMed]
  55. Faria, J.M.R.; Van Lammeren, A.A.; Hilhorst, H.W. Desiccation sensitivity and cell cycle aspects in seeds of Inga vera subsp. affinis. Seed Sci. Res. 2004, 14, 165–178. [Google Scholar] [CrossRef] [Green Version]
  56. Jordan, D.C. Bradyrhizobium. In Bergey’s Manual of Systematic Bacteriology; Krieg, N.R., Holt, J.G., Eds.; Williams Wilkins: Philadelphia, PA, USA, 1984; Volume 1, pp. 242–244. [Google Scholar]
  57. Trinick, M.J.; Miller, C.; Hadobas, P.A. Formation and structure of root nodules induced on Macroptilium atropurpureum inoculated with various species of Rhizobium. Can. J. Bot. 1991, 69, 1520–1532. [Google Scholar] [CrossRef]
  58. Lane, D.J. 16S/23S rRNA sequencing. In Nucleic Acid Techniques in Bacterial Systematics; Stackebrandt, E., Goodfellow, M., Eds.; John Wiley and Sons: Chichester, UK, 1991; pp. 115–147. [Google Scholar]
  59. Vinuesa, P.; Silva, C.; Werner, D.; Martinez-Romero, E. Population genetics and phylogenetic inference in bacterial molecular systematics: The roles of migration and recombination in Bradyrhizobium species cohesion and delineation. Mol. Phylogen. Evol. 2005, 34, 29–54. [Google Scholar] [CrossRef] [PubMed]
  60. Krueger, F. Trim Galore. A Wrapper Tool Around Cutadapt and FastQC to Consistently Apply Quality and Adapter Trimming to FastQ Files; Babraham Bioinformatics: Cambridge, UK, 2015; pp. 516–517. [Google Scholar]
  61. Wick, R.R.; Judd, L.M.; Gorrie, C.L.; Holt, K.E. Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput. Biol. 2017, 13, e1005595. [Google Scholar] [CrossRef] [Green Version]
  62. Bankevich, A.; Nurk, S.; Antipov, D.; Gurevich, A.A.; Dvorkin, M.; Kulikov, A.S.; Lesin, V.M.; Nikolenko, S.I.; Pham, S.; Prjibelski, A.D.; et al. SPAdes: A new genome assembly algorithm and its applications to single-cell sequencing. J. Comput. Biol. 2012, 19, 455–477. [Google Scholar] [CrossRef] [Green Version]
  63. Van der Graaf Bloois, L.; Wagenaar, J.A.; Zomer, A.L. RFPlasmid: Predicting plasmid sequences from short-read assembly data using machine learning. Microb. Genom. 2021, 7, 000683. [Google Scholar] [CrossRef]
  64. Antipov, D.; Hartwick, N.; Shen, M.; Raiko, M.; Lapidus, A.; Pevzner, P.A. plasmidSPAdes: Assembling plasmids from whole genome sequencing data. Bioinformatics 2016, 32, 3380–3387. [Google Scholar] [CrossRef] [Green Version]
  65. Langmead, B.; Salzberg, S.L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 2012, 9, 357–359. [Google Scholar] [CrossRef] [Green Version]
  66. Li, H. New strategies to improve minimap2 alignment accuracy. Bioinformatics 2021, 37, 4572–4574. [Google Scholar] [CrossRef]
  67. Li, H.; Handsaker, B.; Wysoker, A.; Fennell, T.; Ruan, J.; Homer, N.; Marth, G.; Abecasis, G.; Durbin, R. 1000 Genome Project Data Processing Subgroup. The Sequence Alignment/Map format and SAMtools. Bioinformatics 2009, 25, 2078–2079. [Google Scholar] [CrossRef] [Green Version]
  68. Quinlan, A.R.; Hall, I.M. BEDTools: A flexible suite of utilities for comparing genomic features. Bioinformatics 2010, 26, 841–842. [Google Scholar] [CrossRef] [Green Version]
  69. Brettin, T.; Davis, J.J.; Disz, T.; Edwards, R.A.; Gerdes, S.; Olsen, G.J.; Olson, R.; Overbeek, R.; Parrello, B.; Pusch, G.D.; et al. RASTtk: A modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes. Sci. Rep. 2015, 5, 8365. [Google Scholar] [CrossRef] [Green Version]
  70. Cantalapiedra, C.P.; Hernández-Plaza, A.; Letunic, I.; Bork, P.; Huerta-Cepas, J. eggNOG-mapper v2: Functional Annotation, Orthology Assignments, and Domain Prediction at the Metagenomic Scale. Mol. Biol. Evol. 2021, 38, 5825–5829. [Google Scholar] [CrossRef]
  71. Seemann, T. Prokka: Rapid Prokaryotic Genome Annotation. Bioinformatics 2014, 30, 2068–2069. [Google Scholar] [CrossRef]
  72. Kanehisa, M.; Sato, Y.; Morishima, K. BlastKOALA and GhostKOALA: KEGG Tools for Functional Characterization of Genome and Metagenome Sequences. J. Mol. Biol. 2016, 428, 726–731. [Google Scholar] [CrossRef] [Green Version]
  73. Gilchrist, C.L.M.; Chooi, Y.-H. Clinker & clustermap.js: Automatic generation of gene cluster comparison figures. Bioinformatics 2021, 37, 2473–2475. [Google Scholar] [CrossRef]
  74. Grant, J.R.; Stothard, P. The CGView Server: A comparative genomics tool for circular genomes. Nucleic Acids Res. 2008, 36, W181–W184. [Google Scholar] [CrossRef]
  75. Emms, D.M.; Kelly, S. OrthoFinder: Phylogenetic orthology inference for comparative genomics. Genome Biol. 2019, 20, 238. [Google Scholar] [CrossRef] [Green Version]
  76. Emms, D.M.; Kelly, S. STAG: Species tree inference from all genes. bioRxiv 2018. bioRxiv:267914. [Google Scholar] [CrossRef]
  77. Emms, D.; Kelly, S. STRIDE: Species Tree Root Inference from Gene Duplication Events. Mol. Biol. Evol. 2017, 34, 3267–3278. [Google Scholar] [CrossRef]
  78. Letunic, I.; Bork, P. Interactive Tree of Life (iTOL) v5: An online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 2021, 49, W293–W296. [Google Scholar] [CrossRef]
  79. Pritchard, L.; Glover, R.H.; Humphris, S.; Elphinstone, J.G.; Toth, I.K. Genomics and taxonomy in diagnostics for food security: Soft-rotting enterobacterial plant pathogens. Anal. Methods 2016, 8, 12–24. [Google Scholar] [CrossRef]
  80. Hall, T. BioEdit: A user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symp. Ser. 1999, 41, 95–98. [Google Scholar]
  81. Nawrocki, E.; Eddy, R. Infernal 1.1: 100-fold faster RNA homology searches. Bioinformatics 2013, 29, 2933–2935. [Google Scholar] [CrossRef] [Green Version]
  82. Cole, J.R.; Wang, Q.; Cardenas, E.; Fish, J.; Chai, B.; Farris, R.J.; Kulam-Syed-Mohideen, A.S.; McGarrell, D.M.; Marsh, T.; Garrity, G.M.; et al. The Ribosomal Database Project: Improved alignments and new tools for rRNA analysis. Nucleic Acids Res. 2009, 37 (Suppl. 1), D141–D145. [Google Scholar] [CrossRef] [Green Version]
  83. Kumar, S.; Stecher, G.; Li, M.; Knyaz, C.; Tamura, K. MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. Mol. Biol. Evol. 2018, 35, 1547–1549. [Google Scholar] [CrossRef]
  84. Wernersson, R.; Pedersen, A. RevTrans—Constructing alignments of coding DNA from aligned amino acid sequences. Nucleic Acids Res. 2003, 31, 3537–3539. [Google Scholar] [CrossRef] [Green Version]
  85. Edgar, R.C. MUSCLE: A multiple sequence alignment method with reduced time and space complexity. BMC Bioinform. 2004, 5, 113. [Google Scholar] [CrossRef] [Green Version]
  86. Minh, B.Q.; Nguyen, M.A.T.; von Haeseler, A. Ultrafast approximation for phylogenetic bootstrap. Mol. Biol. Evol. 2013, 30, 1188–1195. [Google Scholar] [CrossRef]
  87. Nguyen, L.-T.; Schmidt, H.A.; von Haeseler, A.; Minh, B.Q. IQ-TREE: A fast and effective stochastic algorithm for estimating maximum likelihood phylogenies. Mol. Biol. Evol. 2015, 32, 268–274. [Google Scholar] [CrossRef]
  88. Fåhraeus, G. The Infection of Clover Root Hairs by Nodule Bacteria Studied by a Simple Glass Slide Technique. J. Gen. Microbiol. 1957, 16, 374–381. [Google Scholar] [CrossRef] [Green Version]
  89. Richter, M.; Rosselló-Móra, R. Shifting the genomic gold standard for the prokaryotic species definition. Proc. Natl. Acad. Sci. USA 2009, 106, 19126–19131. [Google Scholar] [CrossRef] [Green Version]
  90. Barcellos, F.G.; Menna, P.; da Silva Batista, J.S.; Hungria, M. Evidence of Horizontal Transfer of Symbiotic Genes from a Bradyrhizobium japonicum Inoculant Strain to Indigenous Diazotrophs Sinorhizobium (Ensifer) fredii and Bradyrhizobium elkanii in a Brazilian Savannah Soil. Appl. Environ. Microbiol. 2007, 73, 2635–2643. [Google Scholar] [CrossRef] [Green Version]
  91. Renier, A.; Jourand, P.; Rapior, S.; Poinsot, V.; Sy, A.; Dreyfus, B.; Moulin, L. Symbiotic properties of Methylobacterium nodulans ORS 2060T: A classic process for an atypical symbiont. Soil Biol. Biochem. 2008, 40, 1404–1412. [Google Scholar] [CrossRef]
  92. Firmin, J.L.; Wilson, K.E.; Carlson, R.W.; Davies, A.E.; Downie, J.A. Resistance to nodulation of cv. Afghanistan peas is overcome by nodX, which mediates an O-acetylation of the Rhizobium leguminosarum lipo-oligosaccharide nodulation factor. Mol. Microbiol. 1993, 10, 351–360. [Google Scholar] [CrossRef]
  93. Safronova, V.I.; Kimeklis, A.K.; Chizhevskaya, E.P.; Belimov, A.A.; Andronov, E.E.; Pinaev, A.G.; Pukhaev, A.R.; Popov, K.P.; Tikhonovich, I.A. Genetic diversity of rhizobia isolated from nodules of the relic species Vavilovia formosa (Stev.) Fed. Antonie Van Leeuwenhoek 2014, 105, 389–399. [Google Scholar] [CrossRef]
  94. Acosta-Jurado, S.; Rodríguez-Navarro, D.; Kawaharada, Y.; Rodríguez-Carvajal, M.A.; Gil-Serrano, A.; Soria-Díaz, M.E.; Pérez-Montaño, F.; Fernández-Perea, J.; Niu, Y.; Alias-Villegas, C.; et al. Sinorhizobium fredii HH103 nolR and nodD2 mutants gain capacity for infection thread invasion of Lotus japonicus Gifu and Lotus burttii. Environ. Microbiol. 2019, 21, 1718–1739. [Google Scholar] [CrossRef]
  95. Acosta-Jurado, S.; Alias-Villegas, C.; Navarro-Gómez, P.; Almozara, A.; Rodríguez-Carvajal, M.A.; Medina, C.; Vinardell, J. Sinorhizobium fredii HH103syrMinactivation affects the expression of a large number of genes, impairs nodulation with soybean and extends the host-range to Lotus japonicus. Environ. Microbiol. 2020, 22, 1104–1124. [Google Scholar] [CrossRef]
  96. Fuentes-Romero, F.; Navarro-Gómez, P.; Ayala-García, P.; Moyano-Bravo, I.; López-Baena, F.-J.; Pérez-Montaño, F.; Ollero-Márquez, F.-J.; Acosta-Jurado, S.; Vinardell, J.-M. The nodD1 Gene of Sinorhizobium fredii HH103 Restores Nodulation Capacity on Bean in a Rhizobium tropici CIAT 899 nodD1/nodD2 Mutant, but the Secondary Symbiotic Regulators nolR, nodD2 or syrM Prevent HH103 to Nodulate with This Legume. Microorganisms 2022, 10, 139. [Google Scholar] [CrossRef]
  97. Van Soom, C.; Rumjanek, N.; Vanderleyden, J.; Neves, M.C.P. Hydrogenase in Bradyrhizobium japonicum: Genetics, regulation and effect on plant growth. World J. Microbiol. Biotechnol. 1993, 9, 615–624. [Google Scholar] [CrossRef] [PubMed]
  98. Brito, B.; Palacios, J.M.; Hidalgo, E.; Imperial, J.; Ruiz-Argüeso, T. Nickel availability to pea (Pisum sativum L.) plants limits hydrogenase activity of Rhizobium leguminosarum bv. viciae bacteroids by affecting the processing of the hydrogenase structural subunits. J. Bacteriol. 1994, 176, 5297–5303. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  99. Nkrumah, P.N.; Gutiérrez, D.M.N.; Tisserand, R.; van der Ent, A.; Echevarria, G.; Pollard, A.J.; Chaney, R.L.; Morel, J.L. Element Case Studies: Nickel (Tropical Regions). In Agromining: Farming for Metals. Mineral Resource Reviews; van der Ent, A., Baker, A.J., Echevarria, G., Simonnot, M.O., Morel, J.L., Eds.; Springer: Cham, Switzerland, 2020; pp. 365–383. [Google Scholar] [CrossRef]
  100. Deakin, W.J.; Broughton, W.J. Symbiotic use of pathogenic strategies: Rhizobial protein secretion systems. Nat. Rev. Genet. 2009, 7, 312–320. [Google Scholar] [CrossRef] [PubMed]
  101. Nelson, M.S.; Sadowsky, M.J. Secretion systems and signal exchange between nitrogen-fixing rhizobia and legumes. Front. Plant Sci. 2015, 6, 491. [Google Scholar] [CrossRef] [Green Version]
  102. Ratu, S.T.N.; Teulet, A.; Miwa, H.; Masuda, S.; Nguyen, H.P.; Yasuda, M.; Sato, S.; Kaneko, T.; Hayashi, M.; Giraud, E.; et al. Rhizobia use a pathogenic-like effector to hijack leguminous nodulation signalling. Sci. Rep. 2021, 11, 2034. [Google Scholar] [CrossRef]
  103. Pérez-Montaño, F.; Jiménez-Guerrero, I.; Acosta-Jurado, S.; Navarro-Gómez, P.; Ollero, F.J.; Ruiz-Sainz, J.E.; López-Baena, F.J.; Vinardell, J.M. A transcriptomic analysis of the effect of genistein on Sinorhizobium fredii HH103 reveals novel rhizobial genes putatively involved in symbiosis. Sci. Rep. 2016, 6, 31592. [Google Scholar] [CrossRef] [Green Version]
  104. López-Baena, F.J.; Ruiz-Sainz, J.E.; Rodriguez-Carvajal, M.A.; Vinardell, J.-M. Bacterial Molecular Signals in the Sinorhizobium fredii-Soybean Symbiosis. Int. J. Mol. Sci. 2016, 17, 755. [Google Scholar] [CrossRef] [Green Version]
  105. Busset, N.; Gully, D.; Teulet, A.; Fardoux, J.; Camuel, A.; Cornu, D.; Severac, D.; Giraud, E.; Mergaert, P. The Type III Effectome of the Symbiotic Bradyrhizobium vignae Strain ORS3257. Biomolecules 2021, 11, 1592. [Google Scholar] [CrossRef]
  106. Mercante, V.; Duarte, C.M.; Sãnchez, C.M.; Zalguizuri, A.; Caetano-Anollés, G.; Lepek, V.C. The absence of protein Y4yS affects negatively the abundance of T3SS Mesorhizobium loti secretin, RhcC2, in bacterial membranes. Front. Plant Sci. 2015, 6, 12. [Google Scholar] [CrossRef] [Green Version]
  107. Krishnan, H.B.; Pueppke, S.G. Cultivar-specificity genes of the nitrogen-fixing soybean symbiont, Rhizobium fredii USDA257, also regulate nodulation of Erythrina SPP. Am. J. Bot. 1994, 81, 38–45. [Google Scholar] [CrossRef]
  108. Teulet, A.; Busset, N.; Fardoux, J.; Gully, D.; Chaintreuil, C.; Cartieaux, F.; Jauneau, A.; Comorge, V.; Okazaki, S.; Kaneko, T.; et al. The rhizobial type III effector ErnA confers the ability to form nodules in legumes. Proc. Natl. Acad. Sci. USA 2019, 116, 21758–21768. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  109. Shrivastava, S.; Mande, S.S. Identification and Functional Characterization of Gene Components of Type VI Secretion System in Bacterial Genomes. PLoS ONE 2008, 3, e2955. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  110. Salinero-Lanzarote, A.; Pacheco-Moreno, A.; Domingo-Serrano, L.; Durán, D.; Ormeño-Orrillo, E.; Martinez-Romero, E.; Albareda, M.; Palacios, J.M.; Rey, L. The Type VI secretion system of Rhizobium etli Mim1 has a positive effect in symbiosis. FEMS Microbiol. Ecol. 2019, 95, fiz054. [Google Scholar] [CrossRef] [PubMed]
  111. Martínez, J.; Negrete-Yankelevich, S.; Godinez, L.G.; Reyes, J.; Degli Esposti, M.; Romero, E.M. Short-Term Evolution of Rhizobial Strains Toward Sustainability in Agriculture. In Microbial Models: From Environmental to Industrial Sustainability. Microorganisms for Sustainability; Castro-Sowinski, S., Ed.; Springer: Singapore, 2016; Volume 1, pp. 277–292. [Google Scholar] [CrossRef]
  112. Steenkamp, E.T.; Stępkowski, T.; Przymusiak, A.; Botha, W.J.; Law, I.J. Cowpea and peanut in southern Africa are nodulated by diverse Bradyrhizobium strains harboring nodulation genes that belong to the large pantropical clade common in Africa. Mol. Phylogenet. Evol. 2008, 48, 1131–1144. [Google Scholar] [CrossRef] [PubMed]
  113. Batista, J.S.S.; Hungria, M.; Barcellos, F.G.; Ferreira, M.C.; Mendes, I.C. Variability in Bradyrhizobium japonicum and B. elkanii Seven Years after Introduction of both the Exotic Microsymbiont and the Soybean Host in a Cerrados Soil. Microb. Ecol. 2007, 53, 270–284. [Google Scholar] [CrossRef] [PubMed]
  114. López-Guerrero, M.G.; Ormeño-Orrillo, E.; Acosta, J.L.; Mendoza-Vargas, A.; Rogel, M.A.; Ramírez, M.A.; Rosenblueth, M.; Martínez-Romero, J.; Martínez-Romero, E. Rhizobial extrachromosomal replicon variability, stability and expression in natural niches. Plasmid 2012, 68, 149–158. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  115. Xu, L.M.; Ge, C.; Cui, Z.; Li, J.; Fan, H. Bradyrhizobium liaoningense sp. nov., Isolated from the Root Nodules of Soybeans. Int. J. Syst. Bacteriol. 1995, 45, 706–711. [Google Scholar] [CrossRef] [Green Version]
  116. Klepa, M.S.; Helene, L.C.F.; O’Hara, G.; Hungria, M. Bradyrhizobium agreste sp. nov., Bradyrhizobium glycinis sp. nov. and Bradyrhizobium diversitatis sp. nov., isolated from a biodiversity hotspot of the genus Glycine in Western Australia. Int. J. Syst. Evol. Microbiol. 2019, 71, 004742. [Google Scholar] [CrossRef]
  117. Parker, M.A. The Spread of Bradyrhizobium Lineages Across Host Legume Clades: From Abarema to Zygia. Microb. Ecol. 2015, 69, 630–640. [Google Scholar] [CrossRef]
  118. Menna, P.; Hungria, M. Phylogeny of nodulation and nitrogen-fixation genes in Bradyrhizobium: Supporting evidence for the theory of monophyletic origin, and spread and maintenance by both horizontal and vertical transfer. Int. J. Syst. Evol. Microbiol. 2011, 61, 3052–3067. [Google Scholar] [CrossRef]
  119. dos Santos, J.M.F.; Alves, P.A.C.; Silva, V.C.; Rhem, M.F.K.; James, E.K.; Gross, E. Diverse genotypes of Bradyrhizobium nodulate herbaceous Chamaecrista (Moench) (Fabaceae, Caesalpinioideae) species in Brazil. Syst. Appl. Microbiol. 2017, 40, 69–79. [Google Scholar] [CrossRef] [PubMed]
  120. Salmi, A.; Boulila, F.; Bourebaba, Y.; Le Roux, C.; Belhadi, D.; de Lajudie, P. Phylogenetic diversity of Bradyrhizobium strains nodulating Calicotome spinosa in the Northeast of Algeria. Syst. Appl. Microbiol. 2018, 41, 452–459. [Google Scholar] [CrossRef] [PubMed]
  121. George, M.L.C.; Young, J.P.W.; Borthakur, D. Genetic characterization of Rhizobium sp. strain TAL1145 that nodulates tree legumes. Can. J. Microbiol. 1994, 40, 208–215. [Google Scholar] [CrossRef] [PubMed]
  122. Martinez-Romero, E.; Segovia, L.; Mercante, F.M.; Franco, A.A.; Graham, P.; Pardo, M.A. Rhizobium tropici, a Novel Species Nodulating Phaseolus vulgaris L. Beans and Leucaena sp. Trees. Int. J. Syst. Bacteriol. 1991, 41, 417–426. [Google Scholar] [CrossRef] [Green Version]
  123. Ramírez-Bahena, M.H.; Flores-Félix, J.D.; Velázquez, E.; Peix, Á. The Mimosoid tree Leucaena leucocephala can be nodulated by the symbiovar genistearum of Bradyrhizobium canariense. Syst. Appl. Microbiol. 2020, 43, 126041. [Google Scholar] [CrossRef] [PubMed]
  124. Guan, S.H.; Gris, C.; Cruveiller, S.; Pouzet, C.; Tasse, L.; LeRu, A.; Maillard, A.; Médigue, C.; Batut, J.; Masson-Boivin, C.; et al. Experimental evolution of nodule intracellular infection in legume symbionts. ISME J. 2013, 7, 1367–1377. [Google Scholar] [CrossRef] [Green Version]
  125. Martínez-Romero, E. Coevolution in Rhizobium-Legume Symbiosis? DNA Cell Biol. 2009, 28, 361–370. [Google Scholar] [CrossRef]
Figure 1. (a) Lysiloma sp. sampling site at Barranca del Tecolote Cuernavaca, Morelos, Mexico. (b) Inga vera sampling site in coffee plantations in San Marcos de León, Municipio de Xico, Veracruz, Mexico.
Figure 1. (a) Lysiloma sp. sampling site at Barranca del Tecolote Cuernavaca, Morelos, Mexico. (b) Inga vera sampling site in coffee plantations in San Marcos de León, Municipio de Xico, Veracruz, Mexico.
Diversity 14 00518 g001
Figure 2. Maximum-likelihood phylogenetic trees based on (a) 16S rRNA and (b) glnII gene sequences showing relationships between Lysiloma sp., L. divaricatum, Inga vera isolates and other strains from genus Bradyrhizobium. Alignment lengths: 1196 bp 16S rRNA; 523 bp glnII. Substitution model: GTR+I+G for both phylogenies. Bootstrap values lower than 70% are not shown. Blue for I. vera isolates, red for Lysiloma sp. isolates, green for L. divaricatum isolates. Bosea thiooxidans DSM9653(T) was used as an external group on 16S rRNA phylogeny. T, type strain.
Figure 2. Maximum-likelihood phylogenetic trees based on (a) 16S rRNA and (b) glnII gene sequences showing relationships between Lysiloma sp., L. divaricatum, Inga vera isolates and other strains from genus Bradyrhizobium. Alignment lengths: 1196 bp 16S rRNA; 523 bp glnII. Substitution model: GTR+I+G for both phylogenies. Bootstrap values lower than 70% are not shown. Blue for I. vera isolates, red for Lysiloma sp. isolates, green for L. divaricatum isolates. Bosea thiooxidans DSM9653(T) was used as an external group on 16S rRNA phylogeny. T, type strain.
Diversity 14 00518 g002
Figure 3. Maximum-likelihood phylogenetic tree based on glnII, rpoB, recA and gyrB gene sequences of Mexican Inga vera and Lysiloma isolates. Concatenate alignment length 2013 bp: glnII (537 bp), gyrB (621 bp), recA (420 bp) and gyrB (525 bp). Substitution model was GTR+F+I+G4. Bootstrap values lower than 70% are not shown. B. elkanii USDA76(T) was used as an external group. Bar, substitutions per site. Blue for I. vera isolates, red for Lysiloma sp. isolates, green for L. divaricatum isolates. The average nucleotide identity (ANI) of these genes (%), within and between groups is indicated.
Figure 3. Maximum-likelihood phylogenetic tree based on glnII, rpoB, recA and gyrB gene sequences of Mexican Inga vera and Lysiloma isolates. Concatenate alignment length 2013 bp: glnII (537 bp), gyrB (621 bp), recA (420 bp) and gyrB (525 bp). Substitution model was GTR+F+I+G4. Bootstrap values lower than 70% are not shown. B. elkanii USDA76(T) was used as an external group. Bar, substitutions per site. Blue for I. vera isolates, red for Lysiloma sp. isolates, green for L. divaricatum isolates. The average nucleotide identity (ANI) of these genes (%), within and between groups is indicated.
Diversity 14 00518 g003
Figure 4. Species consensus phylogenomic tree based on 1,113 orthogroups of 101 genomes (Table S1). Support values correlate to the proportion of times that the bipartition is seen in each of the individual trees used to create the consensus tree. The scale represents substitutions per site. Seven Nitrobacter strains were used as an external group. Blue for Inga vera isolates, red for Lysiloma sp. isolates, green for L. divaricatum isolates.
Figure 4. Species consensus phylogenomic tree based on 1,113 orthogroups of 101 genomes (Table S1). Support values correlate to the proportion of times that the bipartition is seen in each of the individual trees used to create the consensus tree. The scale represents substitutions per site. Seven Nitrobacter strains were used as an external group. Blue for Inga vera isolates, red for Lysiloma sp. isolates, green for L. divaricatum isolates.
Diversity 14 00518 g004
Figure 5. Circular representation of the chromosome of the Lysiloma spp. and Inga vera Bradyrhizobium isolates. The rings from outside to inside indicate: (1) the chromosome and the coding sequences (CDS); (2) the genome sequence in blue color for Inga vera isolates, red for Lysiloma sp. isolates, green for L. divaricatum isolates; (3) the GC percentage across the chromosome; (4) the nod, nol, noe and nif genes predicted with EggNogg Mapper; (5) the hup and hyp genes predicted with EggNogg Mapper. The name of the strain and its genome size are indicated in the center of the circle. The probable symbiotic islands are flanked by a t-RNA, highlighted in the outermost ring.
Figure 5. Circular representation of the chromosome of the Lysiloma spp. and Inga vera Bradyrhizobium isolates. The rings from outside to inside indicate: (1) the chromosome and the coding sequences (CDS); (2) the genome sequence in blue color for Inga vera isolates, red for Lysiloma sp. isolates, green for L. divaricatum isolates; (3) the GC percentage across the chromosome; (4) the nod, nol, noe and nif genes predicted with EggNogg Mapper; (5) the hup and hyp genes predicted with EggNogg Mapper. The name of the strain and its genome size are indicated in the center of the circle. The probable symbiotic islands are flanked by a t-RNA, highlighted in the outermost ring.
Diversity 14 00518 g005
Figure 6. Comparative analysis of nodulation genes in the Lysiloma spp. and Inga vera Bradyrhizobium isolates. The top sidebar indicates the legume host: red for Lysiloma sp., green for L. divaricatum and blue for I. vera.
Figure 6. Comparative analysis of nodulation genes in the Lysiloma spp. and Inga vera Bradyrhizobium isolates. The top sidebar indicates the legume host: red for Lysiloma sp., green for L. divaricatum and blue for I. vera.
Diversity 14 00518 g006
Figure 7. Comparative analysis of Secretion System genes present in Lysiloma spp. and Inga vera Bradyrhizobium isolates. (a) Presence/absence table of coding genes for different types of secretion system, predicted with GhostKOALA. The top sidebar indicates the legume host: red for Lysiloma sp., green for L. divaricatum and blue for I. vera. The left sidebar indicates the Secretion System Type. (b) Alignment of the coding region for the T3SS apparatus of B. vignae against the isolates of L. divaricatum and I. vera, made with Clinker. The connecting lines indicate the identity percentage of each gene according to the intensity bar below the figure. Only >35% of identity homologies are displayed.
Figure 7. Comparative analysis of Secretion System genes present in Lysiloma spp. and Inga vera Bradyrhizobium isolates. (a) Presence/absence table of coding genes for different types of secretion system, predicted with GhostKOALA. The top sidebar indicates the legume host: red for Lysiloma sp., green for L. divaricatum and blue for I. vera. The left sidebar indicates the Secretion System Type. (b) Alignment of the coding region for the T3SS apparatus of B. vignae against the isolates of L. divaricatum and I. vera, made with Clinker. The connecting lines indicate the identity percentage of each gene according to the intensity bar below the figure. Only >35% of identity homologies are displayed.
Diversity 14 00518 g007
Table 1. Features of Bradyrhizobium sequenced genomes.
Table 1. Features of Bradyrhizobium sequenced genomes.
Bradyrhizobium StrainsHostChromosome (pb)GC (%)ANI to the Closest Species (%)Plasmid
B51278Lysiloma divaricatum8,566,77363.9897.14 with B. brasilenseno
B51279Lysiloma divaricatum8,361,60263.9799.99 with B. cajanino
CCGB12Lysiloma sp.9,426,67063.1190.61 with B. zhanjiangenseno
CCGB01Lysiloma sp.9,317,32863.7991.05 with B. lupinino
CCGB20Lysiloma sp.9,227,33763.8491.07 with B. lupinino
CCGBUVB14Inga vera9,769,66463.3091.80 with B. rifenseno
CCGUVB4NInga vera9,212,72063.5691.83 with B. rifenseno
CCGUVB1N3Inga vera9,882,38562.9887.58 with B. centrolobiiyes
CCGUVB23Inga vera10,272,33462.6987.51 with B. centrolobiiyes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Hernández-Oaxaca, D.; Claro-Mendoza, K.L.; Rogel, M.A.; Rosenblueth, M.; Velasco-Trejo, J.A.; Alarcón-Gutiérrez, E.; García-Pérez, J.A.; Martínez-Romero, J.; James, E.K.; Martínez-Romero, E. Genomic Diversity of Bradyrhizobium from the Tree Legumes Inga and Lysiloma (Caesalpinioideae-Mimosoid Clade). Diversity 2022, 14, 518. https://doi.org/10.3390/d14070518

AMA Style

Hernández-Oaxaca D, Claro-Mendoza KL, Rogel MA, Rosenblueth M, Velasco-Trejo JA, Alarcón-Gutiérrez E, García-Pérez JA, Martínez-Romero J, James EK, Martínez-Romero E. Genomic Diversity of Bradyrhizobium from the Tree Legumes Inga and Lysiloma (Caesalpinioideae-Mimosoid Clade). Diversity. 2022; 14(7):518. https://doi.org/10.3390/d14070518

Chicago/Turabian Style

Hernández-Oaxaca, Diana, Karen L. Claro-Mendoza, Marco A. Rogel, Mónica Rosenblueth, Jorge A. Velasco-Trejo, Enrique Alarcón-Gutiérrez, José Antonio García-Pérez, Julio Martínez-Romero, Euan K. James, and Esperanza Martínez-Romero. 2022. "Genomic Diversity of Bradyrhizobium from the Tree Legumes Inga and Lysiloma (Caesalpinioideae-Mimosoid Clade)" Diversity 14, no. 7: 518. https://doi.org/10.3390/d14070518

APA Style

Hernández-Oaxaca, D., Claro-Mendoza, K. L., Rogel, M. A., Rosenblueth, M., Velasco-Trejo, J. A., Alarcón-Gutiérrez, E., García-Pérez, J. A., Martínez-Romero, J., James, E. K., & Martínez-Romero, E. (2022). Genomic Diversity of Bradyrhizobium from the Tree Legumes Inga and Lysiloma (Caesalpinioideae-Mimosoid Clade). Diversity, 14(7), 518. https://doi.org/10.3390/d14070518

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop