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Article

Soil Mineral Composition and Salinity Are the Main Factors Regulating the Bacterial Community Associated with the Roots of Coastal Sand Dune Halophytes

by
Minh Thiet Vu
1,†,
Almando Geraldi
2,3,†,
Hoang Dang Khoa Do
1,
Arif Luqman
4,
Hoang Danh Nguyen
1,
Faiza Nur Fauzia
2,
Fahmi Ikhlasul Amalludin
2,
Aliffa Yusti Sadila
2,
Nabilla Hapsari Wijaya
2,
Heri Santoso
5,
Yosephine Sri Wulan Manuhara
2,3,
Le Minh Bui
2,6,
Sucipto Hariyanto
2,* and
Anjar Tri Wibowo
2,3,*
1
NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City 70000, Vietnam
2
Departement of Biology, Faculty of Science and Technology, Airlangga University, Surabaya 60115, Indonesia
3
Biotechnology of Tropical Medicinal Plants Research Group, Airlangga University, Surabaya 60115, Indonesia
4
Biology Department, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia
5
Generasi Biologi Indonesia (Genbinesia) Foundation, Gresik 61171, Indonesia
6
Department of Biotechnology, NTT Hi-tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City 70000, Vietnam
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Biology 2022, 11(5), 695; https://doi.org/10.3390/biology11050695
Submission received: 22 March 2022 / Revised: 15 April 2022 / Accepted: 27 April 2022 / Published: 30 April 2022
(This article belongs to the Section Plant Science)

Abstract

:

Simple Summary

Endophytic microbes that reside in roots are involved in resistance against various environmental stresses including high soil salinity and mineral deficiency. To date, the extent of their role in the plant host adaptation to arid, saline, and low nutrient environments such as coastal sand dune ecosystems remains unclear. Here, we present the first characterization study of the bacterial community associated with the roots of Spinifex littoreus and Calotropis gigantea, two plant species that grow wild across different areas of Parangkusumo coastal sand dune, Indonesia. We correlated the bacterial composition in the root with various soil properties and found that bacterial communities in the root are responsive to changes in soil mineral composition, especially in soil Calcium (Ca), Titanium (Ti), Cuprum (Cu), and Zinc (Zn) content. Some bacteria are also found to be sensitive to soil salinity levels; among them, Bacillus idriensis has previously been reported to have a growth promoting effect on plants. Our findings provided valuable information about the main factors that modulate bacterial communities associated with coastal plants and potential bacterial species that might be involved in plant resistance against stresses. Data from this study can be used as the basis for future studies that assess the biological role of endophytic microbes in plant resistance against environmental pressure.

Abstract

Soil salinity and mineral deficiency are major problems in agriculture. Many studies have reported that plant-associated microbiota, particularly rhizosphere and root microbiota, play a crucial role in tolerance against salinity and mineral deficiency. Nevertheless, there are still many unknown parts of plant–microbe interaction, especially regarding their role in halophyte adaptation to coastal ecosystems. Here, we report the bacterial community associated with the roots of coastal sand dune halophytes Spinifex littoreus and Calotropis gigantea, and the soil properties that affect their composition. Strong correlations were observed between root bacterial diversity and soil mineral composition, especially with soil Calcium (Ca), Titanium (Ti), Cuprum (Cu), and Zinc (Zn) content. Soil Ti and Zn content showed a positive correlation with bacterial diversity, while soil Ca and Cu had a negative effect on bacterial diversity. A strong correlation was also found between the abundance of several bacterial species with soil salinity and mineral content, suggesting that some bacteria are responsive to changes in soil salinity and mineral content. Some of the identified bacteria, such as Bacillus idriensis and Kibdelosporangium aridum, are known to have growth-promoting effects on plants. Together, the findings of this work provided valuable information regarding bacterial communities associated with the roots of sand dune halophytes and their interactions with soil properties. Furthermore, we also identified several bacterial species that might be involved in tolerance against stresses. Further work will be focused on isolation and transplantation of these potential microbes, to validate their role in plant tolerance against stresses, not only in their native hosts but also in crops.

1. Introduction

Soil salinity and mineral deficiency are major abiotic stresses that affect global agricultural production. In some crops, salt stress and mineral deficiency could reduce average yields by more than 50% [1,2]. Soil salinization also leads to constant reduction of arable lands, with around 800 million hectares of agricultural land currently affected by salt stress [3]. High soil salinity could lead to both ionic and osmotic stress [4]. Ionic stress is mainly caused by excessive intracellular sodium (Na+) accumulation that causes a deficiency of essential ions such as potassium (K+), affecting protein synthesis and conformation. Ionic stress also induces the production of reactive oxygen species (ROS) that lead to cellular oxidative stress and damage. In addition to ionic stress, salt stress also induces osmotic stress, which leads to reduced water uptake and dehydration [4,5].
Most major crops such as wheat, maize, and rice are sensitive to salinity and mineral deficiency. Exposure to salt and mineral deficiency has been known to reduce germination rates, seedling survival, and plant productivity [6,7]. On the other hand, halophytes are salt-tolerant plants that can complete their life cycle in an environment with a salt concentration above 200 mM NaCl [8,9]. The tolerance is mainly attributed to the genetic makeup of the plants, which allows them to produce specific sets of proteins, transporters, and anatomical and morphological modifications that enhance resistance to salinity [9,10,11]. In addition to plant adaptation, it is reported that the root microbiome could also promote resistance to abiotic stresses, including salinity and mineral deficiency. Microbes can be found both on the surfaces (epiphytic) and inside of the roots (endophytic). Together, they constitute the overall microbiome composition in the root [12]. Different species of epiphytic and endophytic bacteria associated with the roots of various halophytic plants are reported to be able to ameliorate the negative effects of salinity and mineral deficiency and promote growth [13,14,15,16,17]. It is suggested that root-associated bacteria could help plants thrive in saline and nutrient-depleted environments by facilitating nitrogen fixation [18], increasing nutrient availability and uptake [17], inducing antioxidant production [19,20], and producing certain metabolites and hormones that have growth-promoting effects on plants [21,22].
Interestingly, the beneficial effects of root bacteria are not restricted to their natural hosts. Several publications have reported that bacteria isolated from the roots of halophytes could also enhance tolerance to stresses and promote growth when inoculated into the roots of crops. Sharma et al. (2016) reported that five bacterial isolates from the root of a halophyte, Arthrocnemum indicum, are able to colonize the root of peanut and contribute to maintaining ion homeostasis, reducing ROS production, and promoting growth under salt stress [13]. In another study, Ullah and Bano (2015) showed that Bacillus sp. and Arthrobacter pascens isolated from the rhizospheric soils of halophytes Atriplex leucoclada and Suaeda fruticosa, respectively, could increase phosphate availability, induce the accumulation of osmolytes, elevate antioxidant activity, and promote growth when inoculated into the root of maize [14]. Similarly, Xiong et al. (2019) revealed that inoculation of Glutamicibacter halophytocola isolated from the coastal halophyte Limonium sinense could increase osmolyte content, enhance antioxidant activity, and improve ion homeostasis in tomato seedlings, resulting in higher biomass and better growth under stress [15].
All of those reports suggest that bacteria associated with the roots of halophytes could be inoculated into crops to enhance resistance against salt stress and mineral deficiency. Information about halophyte microbiomes and their association with soil physical and chemical properties is pivotal for the identification of beneficial bacteria. Nevertheless, data regarding root microbiomes in halophytic plants, especially from tropical coastal areas, are still limited. Here, we studied the bacterial community in the roots of two halophytes, Spinifex littoreus and Calotropis gigantea, growing in a coastal sand dune area of Parangkusumo, Indonesia. Plants growing in the area are adapted to harsh environments, characterized by frequent sand and wind blasting, low nutrient and water availability, high temperature, lack of shade, salt spray, and high soil salinity [23,24,25]. We hypothesized that halophytes in the Parangkusumo sand dune ecosystem host symbiotic bacterial species that aid in adaptation to the arid, saline, and low-nutrient environment. To identify such bacteria, we correlated root microbiome data with soil salinity, pH, organic and nutrient content, and mineral composition. Strong correlations were observed between the root bacterial diversity and soil mineral composition, especially with soil Calcium (Ca), Titanium (Ti), Cuprum (Cu), and Zinc (Zn) content. Correlations between the abundance of various bacterial species and soil salinity and mineral content were also discovered, indicating that some bacteria may be sensitive to changes in soil salinity and mineral content. This investigation thus shed light on the bacterial communities associated with the roots of sand dune halophytes, the environmental factors that affect their composition, and potential bacterial species involved in plant tolerance to stress.

2. Materials and Methods

2.1. Study Area and Sample Collection

Root and leaf samples were collected from S. littoreus and C. gigantea, which grow wild in the sand dune area of Parangkusumo, Yogyakarta, Indonesia. Samples were collected along latitudinal gradient starting from the shoreline from six different populations where S. littoreus and C. gigantea were found living together. The populations were spread across three different sand dune areas: the coastal area located along the shoreline (population 1), the middle area (population 2 to 5), and the transitional area (population 6, the border between sand dune and farming area) (Figure 1 and Table S1). From each population, we collected two S. littoreus and C. gigantea root samples for microbiome analysis. Soil samples were also collected from 5 to 20 cm depth and kept in clean plastic bags. All samples were immediately stored on dry ice upon collection and stored at −20 °C afterward.

2.2. DNA Extraction and Sequencing

Genomic DNA was extracted by homogenizing samples to powder in liquid nitrogen using a mortar and pestle. DNA was extracted from homogenized tissue according to the manufacturer’s instructions using a ZymoBIOMICS DNA Miniprep Kit (Zymo Research, Orange, CA, USA). Quality-controlled genomic DNA was used to prepare amplicon sequencing libraries. In brief, following the Illumina PCR Quantification Protocol Guide, 30 ng DNA template and 16S rRNA V3-V4 primers were used for polymerase chain reaction (PCR) (Illumina, San Diego, CA, USA). To complete library construction, all PCR products were purified with Agencourt AMPure XP beads (Beckman Coulter, Brea, CA, USA), dissolved in elution buffer, and finally labeled. Agilent 2100 Bioanalyzer was used to measure the library’s size and concentration (Agilent Technologies, Palo Alto, CA, USA). Two 300 bp paired-end runs were performed on qualified libraries on the Illumina HiSeq 2500 platform (San Diego, CA, USA).

2.3. Bacterial Diversity Analysis

To investigate the biodiversity of the surveyed samples, the sequencing data were analyzed using the QIIME 2 workflow [26]. After importing the raw sequencing data into QIIME 2, the raw sequencing data were demultiplexed to remove primer sequences from the reads. DADA2 was used to denoise and dereplicate the sequences [27]. Then, using the VSEARCH plugin, the clean data were clustered into groups with 99 percent similarity to the SILVA references [28,29]. Using online web tools https://bioinformatics.psb.ugent.be/webtools/Venn/ (accessed on 20 October 2021, the samples' shared operational taxonomic unit (OTU) was visualized. The sequence data were then classified using the classify-sklearn method in conjunction with SILVA taxonomy data [30]. After being classified, the sequences belonging to chloroplast and mitochondrial genomes were removed. Additionally, the Shannon diversity index was used to evaluate the samples’ alpha diversity. Principal component analysis (PCA) was performed using the ClustVis web tools http://biit.cs.ut.ee/clustvis/ (accessed on 27 October 2021) with default settings [31]. The data of the operational taxonomic unit of the surveyed samples were normalized to the total OTU number before performing PCA. The PCAs were calculated using the default method of singular value decomposition (SVD) with imputation.

2.4. Soil pH, Salinity, Organic Carbon, Nitrogen, and Phosphate Measurement

As much as 10 g of soil and 50 mL of deionized water were mixed together. The mixture was then homogenized by vortexing for 30 min. The suspension was then used to measure the pH and conductivity using a pH meter electrode (Starter300, Ohaus, NJ, USA) and a conductometer (pHionLab PC10, H20 Rx, Artarmon, NSW, Australia), respectively. The total organic carbon, nitrogen, and phosphate were measured according to the ASTM D 5373-2002 standard.

2.5. Measurement of Soil Mineral Composition

As much as 10 g of soil was analyzed using X-Ray Fluorescence NitonTM XL2 GOLDD (Thermo Scientific, Carlsbad, CA, USA) to calculate Aluminium (Al), Silicon (Si), Phosphorus (P), Potassium (K), Calcium (Ca), Titanium (Ti), Vanadium (V), Manganese (Mn), Ferrum (Fe), Cuprum (Cu), Zinc (Zn), Strontium (Sr), Zirconium (Zr), Barium (Ba), and Rhenium (Re) content in the soil. The mineral content measurements were presented as percentages of the weight of the soil.

2.6. Correlation Analysis between Bacterial and Soil Composition

Pearson correlation analysis was used to determine the relationship between bacterial diversity, microbial species abundance, and soil variables by using GraphPad Prism version 9.0.0 for Windows https://www.graphpad.com/ (accessed on 27 October 2021). The scatter diagrams were built on at least 6 data points for each pair of variables to observe the linearity and calculate the correlation coefficient. Pearson values (r) at or close to zero indicated no or a weak linear relationship, respectively; greater than +0.8 or less than −0.8 denoted a strong linear relationship. Factors with a strong linear relationship (|r| ≥ 0.8) and statistical significance (p ≤ 0.05) were selected for further evaluation.

3. Results

3.1. Taxonomic Composition of the Root-Associated Bacteria

A total of 1231 bacterial OTUs were obtained from the root of C. gigantea, while 1419 OTUs were obtained from S. littoreus (Table S2). The assignment of bacterial OTUs revealed 25 phyla, 66 classes, 157 orders, 228 families, and 344 genera in C. gigantea, whereas 26 phyla, 62 classes, 137 orders, 205 families, and 332 genera were identified in S. littoreus. The most abundant phyla in the root of C. gigantea were Proteobacteria (38.25% reads), Actinobacteria (30.17% reads), Firmicutes (10.87% reads), and Bacteroidota (5.68% reads), together representing 84.97% of total reads over all samples. In the root of S. littoreus, the most abundant bacteria were Actinobacteria (41.13%), Proteobacteria (31.33%), Bacteroidota (7.67%), and Patescibacteria (7.25%), representing altogether 87.4% of the total reads (Table S2).
In C. gigantea, from population 2 to 6, the bacterial composition was quite similar at phylum level, where the roots were mainly colonized by Proteobacteria and Actinobacteria. A different composition was observed from population 1 that was located on the shoreline where Firmicutes was identified as the most dominant phylum. Among OTUs that could be assigned to species level, differences at species level could also be observed between population 1 and the other populations. Bacillus idriensis was found to be the most abundant species in population 1, while in other populations, Actinosynnema pretiosum and Actinophytocola timorensis were the two most abundant species (Figure 2 and Figure S1).
For S. littoreus, in all populations, the roots were mainly colonized by Proteobacteria, Actinobacteria, Bacteroidota, and Patescibacteria. However, in population 6, which was located in the transitional zone between sand dunes and farming areas, a higher abundance of Firmicutes was observed. Looking at the species level, population 6 was also distinguishable from the other populations since it had higher bacterial diversity (Table 1 and Figure S1). Various bacterial species, including Kibdelosporangium aridum, Pseudonocardia zijingensis, A. timorensis, Pseudonocardia eucalypti, and Bacillus aryabhattai, could be identified from population 6, while in other populations the bacterial composition was mainly composed of A. pretiosum (Figure S1).
Since soil chemical and physical properties differed between populations, these results suggest that bacterial composition in the roots of halophytes was strongly influenced by soil properties. Interestingly, contrasting responses were observed between bacteria associated with the roots of C. gigantea and S. littoreus. Bacteria in the root of C. gigantea were strongly influenced by the shoreline environment, while S. littoreus was strongly influenced by the transitional zone environment that was furthest away from the shoreline.

3.2. Population-Specific OTUs and Core Microbiome

From 1231 OTUs identified in the root of C. gigantea, 17 OTUs were shared between all populations. In S. littoreus, across 1419 identified OTUs, 40 were shared between all populations, suggesting the existence of a core microbiome in the root of C. gigantea and S. littoreus. Additionally, for both species in each population, population-specific OTUs were detected, indicating specific environmental effects on each population (Figure 3). Comparing OTUs from both plant species, 12 OTUs were found to be shared across all C. gigantea and S. littoreus populations, corresponding to genera: Mycobacterium, Lechevalieria, Streptomyces, Bacillus, Dongia, Bosea, Devosia, Sphingomonas, Acidibacter, and three genera from the family Microscillaceae, Rhizobiaceae, and Sphingomonadaceae (Figure 3 and Table S3). These results infer that some taxa have been well adapted to sand dune ecosystems and can colonize the roots of different plant species that grow in different sand dune areas.

3.3. Diversity and Structure of Bacterial Community Associated with Halophyte Roots

For C. gigantea, the bacterial diversity in population 1, which was located on the shoreline, was lower compared to that of the other populations. This might be due to higher soil salinity in population 1 that negatively affected bacterial diversity (Table 1, Tables S4 and S5). The highest diversity was found in population 4, but it was comparable with that of the other populations. Similarly to C. gigantea, the bacterial diversity in the root of S. littoreus was also lowest in population 1. On the other hand, bacterial diversity in population 6 was considerably higher compared with that of the other populations. This result suggests that the transition from sandy soil to farming soil might have positive effects on bacterial diversity associated with the root of S. littoreus (Table 1). Results from alpha-diversity and taxonomic composition analysis were reflected in the way the population clustered in PCA. In S. littoreus, population 6 was visibly separated from the rest of the populations, in accordance with the higher bacterial diversity observed in this population. However, in C. gigantea, populations 1, 2, and 6 were separated from the others (Figure 4). In C. gigantea, population 1 was separated due to lower bacterial diversity (Table 1), while population 2 and 6 were separated due to the high number of unique OTUs identified in these two populations. There were 88 OTUs that were exclusively found in population 2, while in population 6, there were 184 unique OTUs (Figure 3).

3.4. The Effect of Soil Properties on the Bacterial Community Associated with the Roots of C. gigantea and S. littoreus

To evaluate whether soil chemical and physical properties affect the composition and abundance of the bacterial community associated with the roots of sand dune halophytes, we measured various soil properties across the six sampled populations. Detailed values of the measured soil properties are shown in Tables S4 and S5. Pearson correlation analysis was used to determine correlations between soil properties and alpha diversity. Although lower bacterial diversity was observed in population 1, which had higher soil salinity, in both plant species we did not find a statistically significant correlation between alpha diversity and soil salinity (p < 0.05). We also did not find a significant correlation between alpha diversity and soil pH, organic carbon, nitrogen, or phosphorus content (Table 2). These results suggest that none of those factors had a significant impact on overall diversity. Nevertheless, we found strong correlations between soil mineral composition and bacterial diversity. In C. gigantea, a strong positive correlation was observed between alpha diversity and soil Zn level (r = 0.914, p < 0.05). Similarly, in S. littoreus, a positive correlation was also observed between bacterial diversity and soil Zn (r = 0.881) and Ti (r = 0.829) content. On the other hand, soil Ca (r = −0.907) and Cu (r = −0.823) levels seemed to have a negative effect on the diversity of bacteria associated with the root of S. littoreus (Table 2). These results showed that soil mineral composition, especially Zn, Ti, Ca, and Cu content, was the main factor influencing bacterial diversity associated with the roots of sand dune halophytes.
Despite having no effect on overall diversity, soil salinity might have significant effects on the abundance of specific bacteria. To test this hypothesis, we performed a Pearson correlation analysis between soil properties and species relative abundance. In C. gigantea, we observed a strong positive correlation between the abundance of B. idriensis and soil salinity (r = 0.961) and phosphorus (r = 0.915) content, suggesting that this bacterium can thrive in saline soil with high phosphorus concentrations (Table 3). In S. littoreus, the only species that correlated with salinity was Pseudolabrys taiwanensis, which showed a negative correlation (r = −0.871) (Table 4).
Soil mineral content, especially of soil Ca, Cu, Ti, and Zn, seems to have a strong effect on the abundance of several bacterial species associated with the root of S. littoreus. Soil Ca and Cu had a negative correlation with the abundance of P. eucalypti, A. timorensis, B. aryabhattai, and P. zijingensis. On the other hand, the four bacteria showed strong positive correlations with soil Ti and Zn. Interestingly, A. pretiosum, the most abundant bacterium found in the root of S. littoreus, showed a completely opposite trend; it was positively correlated with Ca and Cu but negatively correlated with Ti and Zn (Table 4). Altogether, these results suggest a highly unique and specific effect of each mineral on bacterial abundance.

4. Discussion

Plants growing in the coastal sand dune area of Parangkusumo, Indonesia, are frequently exposed to high soil salinity, high temperature, low nutrients, and limited water availability [23,24,25]. The harsh soil and environmental conditions in the area provide interesting models to study the role of root microbiota in plant adaptation to high soil salinity and nutrient deficiency. Using models C. gigantea and S. littoreus populations in their natural habitat, we studied the dynamics of the root microbiota along a latitudinal gradient and changes in soil physicochemical properties.
We found that the overall most abundant phyla in both plants were Proteobacteria and Actinobacteria; this result was in accordance with previous studies of rhizospheric microbiota in coastal [32] and desert soils [33], suggesting that members of these phyla can thrive in arid environments. In both plants, the most abundant identified species was A. pretiosum; this bacterium was first isolated from leaf surface of Carex sp. and is known to produce ansamitocin, a potent antibiotic and antitumor compound [34,35]. A. pretiosum is also reported to be associated with the root of Putterlickia verrucosa, a shrub that is distributed in the coastal areas of South Africa, Eswatini and Mozambique [36]. Most of the studies regarding A. pretiosum have been focused on its culture strategies, metabolic pathways, and ansamitocin producing ability [37,38,39,40,41,42]; however, there is still no information regarding the role of A. pretiosum in plant growth and response to environmental stresses. Since A. pretiosum was abundantly found in the root of halophytic C. gigantea and S. littoreus, it would be interesting to evaluate whether its association with halophyte roots contributes to plant tolerance against salinity and nutrient deficiencies. Beside A. pretiosum, several bacteria with known plant growth promoting activity, such as K. aridum, B. idriensis, and B. aryabhattai, were also detected in high abundance in the roots of C. gigantea and S. littoreus. These bacteria can produce 1-aminocyclopropane-1-carboxylic acid deaminase (ACCD) and a range of phytohormones that have a positive effect on plant growth [43,44]. Nevertheless, their biological role in plant tolerance against salinity and nutrient deficiency has never been investigated before.
Our data showed that soil physicochemical properties along the coastal sand dune latitudinal gradient clearly shaped the composition and diversity of the root-associated microbial community. In both plants, soil Zn content was positively correlated with root microbial diversity. In accordance, Pan et al. (2020) also reported a positive association between soil Zn level and soil bacterial diversity. One hypothesis is that a high level of Zn in soil might induce the emergence of zinc-tolerant bacteria, resulting in higher diversity [45,46]. Besides Zn, bacterial diversity in the root of S. littoreus was also affected by soil titanium (Ti), copper (Cu), and calcium (Ca) content. Like Zn, we also found that Ti had a positive effect on root bacterial diversity. In contrast to our findings, previous studies reported that the application of Ti into soil did not affect soil bacterial diversity in pitaya [47] and wheat [48] fields, while in grape field, application of Ti was reported to decrease bacterial diversity [47]. Ti can either stimulate or inhibit plant growth, depending on the plant species [49]. Since Ti's effect on plant physiology occurred in a species-specific manner, the effect of Ti on soil and root microbial diversity may also depend on the host plant species. In contrast to Zn and Ti, soil Cu and Ca levels were negatively associated with root microbial diversity. The negative effect of Cu on microbial diversity is well known. Excess levels of Cu are toxic to bacteria because membrane-bound Cu can catalyze the formation of free radicals [50,51]. Calcium can have positive or negative effects on microbial diversity depending on the environmental setting. In acidic soil, increasing Ca could have a positive effect on microbial diversity [52,53], but in saline or karst environments, Ca could negatively influence microbial diversity due to excess salinity and soil pH [54].
Although no statistically significant correlation was observed between soil salinity and root microbial diversity, significant associations were found between the abundance of several bacterial species and salinity. In C. gigantea, a strong positive correlation was observed between B. idriensis and soil salinity, suggesting that this bacterium has salt-tolerant properties. Afzal et al. (2017) showed that B. idriensis isolated from the wild shrub Dodonaea viscosa L. could promote root growth when inoculated into canola [21], but its role in enhancing tolerance to salt has never been investigated before. Besides affecting microbial diversity, the abundance of several bacterial species was also strongly influenced by soil Zn, Ti. Cu, and Zn content. We observed the antagonistic effect of these four minerals on different bacterial species. Ca and Cu exhibited a negative influence on the abundance of P. eucalypti, A. timorensis, B. aryabhattai, and P. zijingensis, while Zn and Ti showed an opposing effect. Among these bacteria, B. aryabhattai has been reported to promote plant growth and tolerance against heat stress [55]. Interestingly, the effect of Zn, Ti, Cu, and Zn was completely reversed for A. pretiosum; it had a positive correlation with Ca and Cu and a negative correlation with Ti and Zn. It is well known that soil minerals can affect bacterial growth in a taxon-specific manner. These mineral-associated bacteria might influence the biogeochemical cycling of the associated minerals and nutrient availability for the host plants [56,57,58]. Further work is required to evaluate whether P. eucalypti, A. timorensis, B. aryabhattai, P. zijingensis, and A. pretiosum could together regulate Zn, Ti, Cu, and Zn availability in coastal sand dune soil and affect the growth of host plants.
Note that in this study, potential bacteria were listed from correlation analysis between bacterial abundance and soil salinity level or mineral content. Further work is required to validate the biological role of these root-associated bacteria in plant tolerance against stresses. Previous studies have shown that bacteria isolated from the roots of halophytes could enhance plant tolerance against salt stress when inoculated into crops, possibly by helping plants maintain osmotic balance and reduce cellular oxidative stress [13,14,15]. Due to its strong positive correlation with soil salinity level, we expect B. idriensis to serve similar functions. Thus, future work will be focused on the isolation, culture, and transplantation of potential bacteria identified in this study, to confirm that colonization of roots by these bacteria could provide plants with improved tolerance against salinity and nutrient deficiency. Overall, the information gathered from this study can be used as a basis for further validation experiments and biotechnological applications, especially for amelioration of abiotic stresses in plants using beneficial microbes.

5. Conclusions

Soil salinization and mineral deficiency are major abiotic stresses that can decrease plant productivity. Several studies have shown that root-associated microorganisms can enhance tolerance to salt stress and increase nutrient availability through multiple mechanisms. Our exploratory work showed that the bacterial community in the roots of coastal sand dune halophytes S. littoreus and C. gigantea was strongly influenced by soil physicochemical properties, especially by soil salinity and Zn, Ti, Cu, and Ca content. Based on correlation analysis between bacterial abundance and soil properties, B. idriensis was identified as a potential salt-tolerant bacterium that might be involved in plant tolerance against salt stress, while P. eucalypti, A. timorensis, B. aryabhattai, P. zijingensis, and A. pretiosum were identified as taxa that were responsive to soil Zn, Ti, Cu, and Ca content. Future work will focus on the isolation, culture, and transplantation of these potential bacteria to validate their involvement in nutrient cycling and resistance against salinity.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/biology11050695/s1. Figure S1: Bacterial taxonomic composition and relative abundance at species level, Table S1: Sampling Coordinate, Table S2: Bacterial 16S rRNA read abundance percentage at the phylum level, Table S3: Number of shared OTUs between sampling population and the taxonomical identity of the shared OTUs, Table S4: Soil mineral composition, Table S5: Soil physicochemical properties.

Author Contributions

Conceptualization, A.T.W., Y.S.W.M., M.T.V., L.M.B., A.G, and S.H.; methodology, A.T.W., A.G., H.D.K.D., H.D.N., and M.T.V.; formal analysis, A.T.W., H.D.K.D., H.D.N., and M.T.V.; investigation, A.T.W., A.G., A.L., F.N.F., F.I.A., A.Y.S., N.H.W., and H.S.; resources, A.T.W., A.G., Y.S.W.M., M.T.V., L.M.B., S.H., and A.L.; data curation A.T.W., A.G., A.L., F.N.F., F.I.A., A.Y.S., N.H.W., and H.S.; writing—original draft preparation, A.T.W., H.D.K.D., and M.T.V.; writing—review and editing, A.T.W., Y.S.W.M., M.T.V., L.M.B., A.G., S.H., and A.L.; supervision, A.T.W., A.G., Y.S.W.M., and M.T.V.; project administration, A.T.W., A.G., Y.S.W.M., and M.T.V.; funding acquisition, A.T.W., A.G., Y.S.W.M., M.T.V., L.M.B., and S.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research and the Article Processing Charge (APC) was funded by Pendanaan Penelitian Skema Penelitian Dasar, Nomor: 488/UN3.15/PT/2021 from Direktorat Riset dan Pengabdian Masyarakat—Direktorat Jenderal Penguatan Riset dan Pengembangan—Kementerian Riset, Teknologi, dan Pendidikan Tinggi Republik Indonesia.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The sequencing data presented in this study are openly available in National Center for Biotechnology Information (NCBI), BioProject number PRJNA813219.

Acknowledgments

The authors acknowledge Direktorat Riset dan Pengabdian Masyarakat—Direktorat Jenderal Penguatan Riset dan Pengembangan—Kementerian Riset, Teknologi, dan Pendidikan Tinggi Republik IndonesiaAirlangga for financial support for this publication.

Conflicts of Interest

Authors declare there is no conflict of interest. We declare that we have no known competing financial interests or personal relationships that could have appeared to influence the work. We also declare that there is no conflict of interest in the submission of the manuscript and the manuscript is approved by all authors for publication.

References

  1. Rajendran, K.; Tester, M.; Roy, S.J. Quantifying the Three Main Components of Salinity Tolerance in Cereals. Plant Cell Environ. 2009, 32, 237–249. [Google Scholar] [CrossRef] [PubMed]
  2. Subiramani, S.; Ramalingam, S.; Muthu, T.; Nile, S.H.; Venkidasamy, B. Development of Abiotic Stress Tolerance in Crops by Plant Growth-Promoting. In Phyto-Microbiome in Stress Regulation; Springer: Cham, Switzerland, 2020; pp. 125–145. [Google Scholar]
  3. Leogrande, R.; Vitti, C. Use of Organic Amendments to Reclaim Saline and Sodic Soils: A Review. Arid Land Res. Manag. 2019, 33, 1–21. [Google Scholar] [CrossRef]
  4. Deinlein, U.; Stephan, A.B.; Horie, T.; Luo, W.; Xu, G.; Schroeder, J.I. Plant Salt-Tolerance Mechanisms. Trends Plant Sci. 2014, 19, 371–379. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Munns, R.; Tester, M. Mechanisms of Salinity Tolerance. Annu. Rev. Plant Biol. 2008, 59, 651–681. [Google Scholar] [CrossRef] [Green Version]
  6. Hussain, S.; Shaukat, M.; Ashraf, M.; Zhu, C.; Jin, Q.; Zhang, J. Salinity Stress in Arid and Semi-Arid Climates: Effects and Management in Field Crops. In Climate Change and Agriculture; IntechOpen: London, UK, 2019. [Google Scholar]
  7. Aftab, T.; Hakeem, K.R. Plant Micronutrients: Deficiency and Toxicity Management; Springer Nature: Cham, Switzerland, 2020; ISBN 9783030498566. [Google Scholar]
  8. Santos, J.; Al-Azzawi, M.; Aronson, J.; Flowers, T.J. eHALOPH a Database of Salt-Tolerant Plants: Helping Put Halophytes to Work. Plant Cell Physiol. 2016, 57, e10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Flowers, T.J.; Munns, R.; Colmer, T.D. Sodium Chloride Toxicity and the Cellular Basis of Salt Tolerance in Halophytes. Ann. Bot. 2015, 115, 419–431. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Yuan, F.; Leng, B.; Wang, B. Progress in Studying Salt Secretion from the Salt Glands in Recretohalophytes: How Do Plants Secrete Salt? Front. Plant Sci. 2016, 7, 977. [Google Scholar] [CrossRef] [Green Version]
  11. Yuan, F.; Guo, J.; Shabala, S.; Wang, B. Reproductive Physiology of Halophytes: Current Standing. Front. Plant Sci. 2018, 9, 1954. [Google Scholar] [CrossRef]
  12. Vorholt, J.A. Microbial Life in the Phyllosphere. Nat. Rev. Microbiol. 2012, 10, 828–840. [Google Scholar] [CrossRef]
  13. Sharma, S.; Kulkarni, J.; Jha, B. Halotolerant Rhizobacteria Promote Growth and Enhance Salinity Tolerance in Peanut. Front. Microbiol. 2016, 7, 1600. [Google Scholar] [CrossRef] [Green Version]
  14. Ullah, S.; Bano, A. Isolation of Plant-Growth-Promoting Rhizobacteria from Rhizospheric Soil of Halophytes and Their Impact on Maize (Zea mays L.) under Induced Soil Salinity. Can. J. Microbiol. 2015, 61, 307–313. [Google Scholar] [CrossRef] [PubMed]
  15. Xiong, Y.-W.; Gong, Y.; Li, X.-W.; Chen, P.; Ju, X.-Y.; Zhang, C.-M.; Yuan, B.; Lv, Z.-P.; Xing, K.; Qin, S. Enhancement of Growth and Salt Tolerance of Tomato Seedlings by a Natural Halotolerant Actinobacterium Glutamicibacter halophytocola KLBMP 5180 Isolated from a Coastal Halophyte. Plant Soil 2019, 445, 307–322. [Google Scholar] [CrossRef]
  16. Jacoby, R.; Peukert, M.; Succurro, A.; Koprivova, A.; Kopriva, S. The Role of Soil Microorganisms in Plant Mineral Nutrition—Current Knowledge and Future Directions. Front. Plant Sci. 2017, 8, 1617. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Dakora, F.D.; Phillips, D.A. Root Exudates as Mediators of Mineral Acquisition in Low-Nutrient Environments. In Food Security in Nutrient-Stressed Environments: Exploiting Plants’ Genetic Capabilities; Adu-Gyamfi, J.J., Ed.; Springer: Dordrecht, The Netherlands, 2002; pp. 201–213. ISBN 9789401715706. [Google Scholar]
  18. Yuan, Z.; Druzhinina, I.S.; Labbé, J.; Redman, R.; Qin, Y.; Rodriguez, R.; Zhang, C.; Tuskan, G.A.; Lin, F. Specialized Microbiome of a Halophyte and Its Role in Helping Non-Host Plants to Withstand Salinity. Sci. Rep. 2016, 6, 32467. [Google Scholar] [CrossRef]
  19. Qin, W.; Liu, C.; Jiang, W.; Xue, Y.; Wang, G.; Liu, S. A Coumarin Analogue NFA from Endophytic Aspergillus fumigatus Improves Drought Resistance in Rice as an Antioxidant. BMC Microbiol. 2019, 19, 50. [Google Scholar] [CrossRef] [Green Version]
  20. Pang, Z.; Zhao, Y.; Xu, P.; Yu, D. Microbial Diversity of Upland Rice Roots and Their Influence on Rice Growth and Drought Tolerance. Microorganisms 2020, 8, 1329. [Google Scholar] [CrossRef]
  21. Afzal, I.; Iqrar, I.; Shinwari, Z.K.; Yasmin, A. Plant Growth-Promoting Potential of Endophytic Bacteria Isolated from Roots of Wild Dodonaea viscosa L. Plant Growth Regul. 2017, 81, 399–408. [Google Scholar] [CrossRef]
  22. del Carmen Orozco-Mosqueda, M.; Glick, B.R.; Santoyo, G. ACC Deaminase in Plant Growth-Promoting Bacteria (PGPB): An Efficient Mechanism to Counter Salt Stress in Crops. Microbiol. Res. 2020, 235, 126439. [Google Scholar] [CrossRef]
  23. Yura, H.; Ogura, A. Sandblasting as a Possible Factor Controlling the Distribution of Plants on a Coastal Dune System. Plant Ecol. 2006, 185, 199–208. [Google Scholar] [CrossRef]
  24. Anwar Maun, M. The Biology of Coastal Sand Dunes; Oxford University Press: Oxford, UK, 2009; ISBN 9780198570356. [Google Scholar]
  25. Du, J.; Hesp, P.A. Salt Spray Distribution and Its Impact on Vegetation Zonation on Coastal Dunes: A Review. Estuaries Coasts 2020, 43, 1885–1907. [Google Scholar] [CrossRef]
  26. Bolyen, E.; Rideout, J.R.; Dillon, M.R.; Bokulich, N.A.; Abnet, C.C.; Al-Ghalith, G.A.; Alexander, H.; Alm, E.J.; Arumugam, M.; Asnicar, F.; et al. Reproducible, Interactive, Scalable and Extensible Microbiome Data Science Using QIIME 2. Nat. Biotechnol. 2019, 37, 852–857. [Google Scholar] [CrossRef] [PubMed]
  27. Callahan, B.J.; McMurdie, P.J.; Rosen, M.J.; Han, A.W.; Johnson, A.J.A.; Holmes, S.P. DADA2: High-Resolution Sample Inference from Illumina Amplicon Data. Nat. Methods 2016, 13, 581–583. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Quast, C.; Pruesse, E.; Yilmaz, P.; Gerken, J.; Schweer, T.; Yarza, P.; Peplies, J.; Glöckner, F.O. The SILVA Ribosomal RNA Gene Database Project: Improved Data Processing and Web-Based Tools. Nucleic Acids Res. 2013, 41, D590–D596. [Google Scholar] [CrossRef]
  29. Rognes, T.; Flouri, T.; Nichols, B.; Quince, C.; Mahé, F. VSEARCH: A Versatile Open Source Tool for Metagenomics. PeerJ 2016, 4, e2584. [Google Scholar] [CrossRef] [PubMed]
  30. Pedregosa, F.; Varoquaux, G.; Gramfort, A.; Michel, V.; Thirion, B.; Grisel, O.; Blondel, M.; Prettenhofer, P.; Weiss, R.; Dubourg, V.; et al. Scikit-Learn: Machine Learning in Python. J. Mach. Learn. Res. 2011, 12, 2825–2830. [Google Scholar]
  31. Metsalu, T.; Vilo, J. ClustVis: A Web Tool for Visualizing Clustering of Multivariate Data Using Principal Component Analysis and Heatmap. Nucleic Acids Res. 2015, 43, W566–W570. [Google Scholar] [CrossRef] [PubMed]
  32. Rodríguez-Caballero, G.; Caravaca, F.; Díaz, G.; Torres, P.; Roldán, A. The Invader Carpobrotus edulis Promotes a Specific Rhizosphere Microbiome across Globally Distributed Coastal Ecosystems. Sci. Total Environ. 2020, 719, 137347. [Google Scholar] [CrossRef]
  33. Araya, J.P.; González, M.; Cardinale, M.; Schnell, S.; Stoll, A. Microbiome Dynamics Associated with the Atacama Flowering Desert. Front. Microbiol. 2019, 10, 3160. [Google Scholar] [CrossRef] [Green Version]
  34. Hasegawa, T.; Tanida, S.; Hatano, K.; Higashide, E.; Yoneda, M. Motile Actinomycetes: Actinosynnema pretiosum Subsp. Pretiosum Sp. Nov., Subsp. Nov., and Actinosynnema pretiosum subsp. Auranticum subsp. nov. Int. J. Syst. Bacteriol. 1983, 33, 314–320. [Google Scholar] [CrossRef] [Green Version]
  35. Zhong, C.; Zong, G.; Qian, S.; Liu, M.; Fu, J.; Zhang, P.; Li, J.; Cao, G. Complete Genome Sequence of Actinosynnema pretiosum X47, An Industrial Strain That Produces the Antibiotic Ansamitocin AP-3. Curr. Microbiol. 2019, 76, 954–958. [Google Scholar] [CrossRef]
  36. Wings, S.; Müller, H.; Berg, G.; Lamshöft, M.; Leistner, E. A Study of the Bacterial Community in the Root System of the Maytansine Containing Plant Putterlickia verrucosa. Phytochemistry 2013, 91, 158–164. [Google Scholar] [CrossRef] [PubMed]
  37. Liu, T.; Yang, L.; Chen, J.; Hu, F.; Wei, L.-J.; Hua, Q. Metabolomic Change and Pathway Profiling Reveal Enhanced Ansamitocin P-3 Production in Actinosynnema Pretiosum with Low Organic Nitrogen Availability in Culture Medium. Appl. Microbiol. Biotechnol. 2020, 104, 3555–3568. [Google Scholar] [CrossRef] [PubMed]
  38. Gao, Y.; Fan, Y.; Nambou, K.; Wei, L.; Liu, Z.; Imanaka, T.; Hua, Q. Enhancement of Ansamitocin P-3 Production in Actinosynnema pretiosum by a Synergistic Effect of Glycerol and Glucose. J. Ind. Microbiol. Biotechnol. 2014, 41, 143–152. [Google Scholar] [CrossRef] [PubMed]
  39. Yu, T.-W.; Bai, L.; Clade, D.; Hoffmann, D.; Toelzer, S.; Trinh, K.Q.; Xu, J.; Moss, S.J.; Leistner, E.; Floss, H.G. The Biosynthetic Gene Cluster of the Maytansinoid Antitumor Agent Ansamitocin from Actinosynnema pretiosum. Proc. Natl. Acad. Sci. USA 2002, 99, 7968–7973. [Google Scholar] [CrossRef] [Green Version]
  40. Ning, X.; Wang, X.; Wu, Y.; Kang, Q.; Bai, L. Identification and Engineering of Post-PKS Modification Bottlenecks for Ansamitocin P-3 Titer Improvement in Actinosynnema pretiosum Subsp. Pretiosum ATCC 31280. Biotechnol. J. 2017, 12, 1700484. [Google Scholar] [CrossRef]
  41. Goh, S.; Camattari, A.; Ng, D.; Song, R.; Madden, K.; Westpheling, J.; Wong, V.V.T. An Integrative Expression Vector for Actinosynnema pretiosum. BMC Biotechnol. 2007, 7, 72. [Google Scholar] [CrossRef] [Green Version]
  42. Li, J.; Sun, R.; Ning, X.; Wang, X.; Wang, Z. Genome-Scale Metabolic Model of Actinosynnema pretiosum ATCC 31280 and Its Application for Ansamitocin P-3 Production Improvement. Genes 2018, 9, 364. [Google Scholar] [CrossRef] [Green Version]
  43. Xing, K.; Bian, G.-K.; Qin, S.; Klenk, H.-P.; Yuan, B.; Zhang, Y.-J.; Li, W.-J.; Jiang, J.-H. Kibdelosporangium Phytohabitans Sp. Nov., a Novel Endophytic Actinomycete Isolated from Oil-Seed Plant Jatropha curcas L. Containing 1-Aminocyclopropane-1-Carboxylic Acid Deaminase. Antonie Van Leeuwenhoek 2012, 101, 433–441. [Google Scholar] [CrossRef]
  44. Zhang, S.; Fan, C.; Wang, Y.; Xia, Y.; Xiao, W.; Cui, X. Salt-Tolerant and Plant-Growth-Promoting Bacteria Isolated from High-Yield Paddy Soil. Can. J. Microbiol. 2018, 64, 968–978. [Google Scholar] [CrossRef]
  45. Pan, X.; Zhang, S.; Zhong, Q.; Gong, G.; Wang, G.; Guo, X.; Xu, X. Effects of Soil Chemical Properties and Fractions of Pb, Cd, and Zn on Bacterial and Fungal Communities. Sci. Total Environ. 2020, 715, 136904. [Google Scholar] [CrossRef]
  46. Berg, J.; Brandt, K.K.; Al-Soud, W.A.; Holm, P.E.; Hansen, L.H.; Sørensen, S.J.; Nybroe, O. Selection for Cu-Tolerant Bacterial Communities with Altered Composition, but Unaltered Richness, via Long-Term Cu Exposure. Appl. Environ. Microbiol. 2012, 78, 7438–7446. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. He, Y.; Hou, X.-Y.; Li, C.-X.; Wang, Y.; Ma, X.-R. Soil Microbial Communities Altered by Titanium Ions in Different Agroecosystems of Pitaya and Grape. Microbiol. Spectr. 2022, 10, e0090721. [Google Scholar] [CrossRef] [PubMed]
  48. Moll, J.; Klingenfuss, F.; Widmer, F.; Gogos, A.; van der Heijden, M.G.A. Effects of Titanium Dioxide Nanoparticles on Soil Microbial Communities and Wheat Biomass. Soil Biol. Biochem. 2017, 111, 85–93. [Google Scholar] [CrossRef]
  49. Dumon, J.C.; Ernst, W.H.O. Titanium in Plants. J. Plant Physiol. 1988, 133, 203–209. [Google Scholar] [CrossRef]
  50. Lin, W.; Lin, M.; Zhou, H.; Wu, H.; Li, Z.; Lin, W. The Effects of Chemical and Organic Fertilizer Usage on Rhizosphere Soil in Tea Orchards. PLoS ONE 2019, 14, e0217018. [Google Scholar] [CrossRef]
  51. Tambosi, R.; Liotenberg, S.; Bourbon, M.-L.; Steunou, A.-S.; Babot, M.; Durand, A.; Kebaili, N.; Ouchane, S. Silver and Copper Acute Effects on Membrane Proteins and Impact on Photosynthetic and Respiratory Complexes in Bacteria. MBio 2018, 9, e01535-18. [Google Scholar] [CrossRef] [Green Version]
  52. Guo, A.; Ding, L.; Tang, Z.; Zhao, Z.; Duan, G. Microbial Response to CaCO3 Application in an Acid Soil in Southern China. J. Environ. Sci. 2019, 79, 321–329. [Google Scholar] [CrossRef]
  53. Bossolani, J.W.; Crusciol, C.A.C.; Leite, M.F.A.; Merloti, L.F.; Moretti, L.G.; Pascoaloto, I.M.; Kuramae, E.E. Modulation of the Soil Microbiome by Long-Term Ca-Based Soil Amendments Boosts Soil Organic Carbon and Physicochemical Quality in a Tropical No-till Crop Rotation System. Soil Biol. Biochem. 2021, 156, 108188. [Google Scholar] [CrossRef]
  54. Sridevi, G.; Minocha, R.; Turlapati, S.A.; Goldfarb, K.C.; Brodie, E.L.; Tisa, L.S.; Minocha, S.C. Soil Bacterial Communities of a Calcium-Supplemented and a Reference Watershed at the Hubbard Brook Experimental Forest (HBEF), New Hampshire, USA. FEMS Microbiol. Ecol. 2012, 79, 728–740. [Google Scholar] [CrossRef] [Green Version]
  55. Park, Y.-G.; Mun, B.-G.; Kang, S.-M.; Hussain, A.; Shahzad, R.; Seo, C.-W.; Kim, A.-Y.; Lee, S.-U.; Oh, K.Y.; Lee, D.Y.; et al. Bacillus Aryabhattai SRB02 Tolerates Oxidative and Nitrosative Stress and Promotes the Growth of Soybean by Modulating the Production of Phytohormones. PLoS ONE 2017, 12, e0173203. [Google Scholar] [CrossRef] [Green Version]
  56. Finley, B.K.; Mau, R.L.; Hayer, M.; Stone, B.W.; Morrissey, E.M.; Koch, B.J.; Rasmussen, C.; Dijkstra, P.; Schwartz, E.; Hungate, B.A. Soil Minerals Affect Taxon-Specific Bacterial Growth. ISME J. 2021, 16, 1318–1326. [Google Scholar] [CrossRef] [PubMed]
  57. Carson, J.K.; Campbell, L.; Rooney, D.; Clipson, N.; Gleeson, D.B. Minerals in Soil Select Distinct Bacterial Communities in Their Microhabitats. FEMS Microbiol. Ecol. 2009, 67, 381–388. [Google Scholar] [CrossRef] [PubMed]
  58. Carson, J.K.; Rooney, D.; Gleeson, D.B.; Clipson, N. Altering the Mineral Composition of Soil Causes a Shift in Microbial Community Structure. FEMS Microbiol. Ecol. 2007, 61, 414–423. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Halophyte habitats and sampling locations. (A) Calotropis gigantea at Parangkusumo sand dune and (B) its flowering part. (C) Spinifex littoreus at Parangkusumo sand dune and (D) its leaf morphology. (E) Six sampling locations across Parangkusumo sand dune area.
Figure 1. Halophyte habitats and sampling locations. (A) Calotropis gigantea at Parangkusumo sand dune and (B) its flowering part. (C) Spinifex littoreus at Parangkusumo sand dune and (D) its leaf morphology. (E) Six sampling locations across Parangkusumo sand dune area.
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Figure 2. Bacterial taxonomic composition and relative abundance at phylum level. (A) Relative abundance of bacteria associated with the root of S. littoreus across six different sampling populations at phylum level. (B) Relative abundance of bacteria associated with the root of C. gigantea across six different sampling populations at phylum level. Abbreviations of sampled populations: P—Population (Population 1 to 6, P1 to P6), CG—C. gigantea, SL—S. littoreus.
Figure 2. Bacterial taxonomic composition and relative abundance at phylum level. (A) Relative abundance of bacteria associated with the root of S. littoreus across six different sampling populations at phylum level. (B) Relative abundance of bacteria associated with the root of C. gigantea across six different sampling populations at phylum level. Abbreviations of sampled populations: P—Population (Population 1 to 6, P1 to P6), CG—C. gigantea, SL—S. littoreus.
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Figure 3. Venn diagrams comparing the number of population-specific and population-shared OTUs. (A) Comparison across different populations of Calotropis gigantea, (B) Comparison across different populations of Spinifex littoreus, (C) Comparison across all C. gigantea and S. littoreus populations. Abbreviations of sampled populations: P-Population (Population 1 to 6, P1 to P6), CG—C. gigantea, SL—S. littoreus.
Figure 3. Venn diagrams comparing the number of population-specific and population-shared OTUs. (A) Comparison across different populations of Calotropis gigantea, (B) Comparison across different populations of Spinifex littoreus, (C) Comparison across all C. gigantea and S. littoreus populations. Abbreviations of sampled populations: P-Population (Population 1 to 6, P1 to P6), CG—C. gigantea, SL—S. littoreus.
Biology 11 00695 g003
Figure 4. Principal component analysis of obtained bacterial OTUs present in the roots of (A) C. gigantea and (B) S. littoreus. Abbreviations of sampled populations: P—Population (Population 1 to 6, P1 to P6), CG—C. gigantea, SL—S. littoreus.
Figure 4. Principal component analysis of obtained bacterial OTUs present in the roots of (A) C. gigantea and (B) S. littoreus. Abbreviations of sampled populations: P—Population (Population 1 to 6, P1 to P6), CG—C. gigantea, SL—S. littoreus.
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Table 1. Species alpha diversity in sampling populations as measured by Shannon Index.
Table 1. Species alpha diversity in sampling populations as measured by Shannon Index.
SpeciesPopulationShannon Index
C. giganteaP1CG3.39
P2CG5.11
P3CG5.27
P4CG5.91
P5CG4.14
P6CG5.82
S. littoreusP1SL5.34
P2SL6.07
P3SL5.99
P4SL5.90
P5SL5.91
P6SL7.34
Table 2. Correlation Analysis Between Bacterial Diversity and Soil Properties.
Table 2. Correlation Analysis Between Bacterial Diversity and Soil Properties.
Soil PropertiesCorrelation C. gigantea (R)Correlation S. littoreus (R)
pH−0.305−0.588
Salinity−0.704−0.613
Organic carbon0.3940.118
Nitrogen−0.03790.532
Phosphorus−0.682−0.665
Calcium (Ca)−0.792−0.907 *
Titanium (Ti)0.7590.829 *
Cuprum (Cu)−0.467−0.823 *
Zinc (Zn)0.914 *0.881 *
Asterisk represent significant correlation at p < 0.05 (Pearson correlation coefficient).
Table 3. Correlation between Bacterial Abundance Associated with the Root of C. gigantea and Soil Properties.
Table 3. Correlation between Bacterial Abundance Associated with the Root of C. gigantea and Soil Properties.
SpeciesSalinity (R)Carbon (R)Phosphorus (R)Calcium (R)Titanium (R)Cuprum (R)Zinc (R)
A._timorensis−0.201−0.103−0.082−0.1610.2690.0200.156
Actinosynnema_pretiosum−0.2730.206−0.393−0.1570.1430.0090.146
B._idriensis0.962 *−0.5210.915 *0.571−0.4200.433−0.685
Asterisk represent significant correlation at p < 0.05 (Pearson correlation coefficient).
Table 4. Correlation Between Bacterial Abundance Associated with the Root of S. littoreus and Soil Properties.
Table 4. Correlation Between Bacterial Abundance Associated with the Root of S. littoreus and Soil Properties.
SpeciesSalinity (R)Carbon (R)Phosphorus (R)Ca
(R)
Ti
(R)
Cu
(R)
Zn
(R)
Rhizobium lusitanum−0.0620.873 *0.0460.160−0.3680.388−0.432
Pseudonocardia eucalypti−0.310−0.181−0.387−0.868 *0.815 *−0.943 *0.845 *
Pseudolabrys taiwanensis−0.871 *0.182−0.791−0.6730.659−0.1350.637
Mitsuaria chitosanitabida0.0160.898 *0.0980.202−0.4080.404−0.490
Dongia mobilis−0.7760.097−0.850 *−0.5600.566−0.1700.590
Actinophytocola timorensis−0.321−0.175−0.396−0.878 *0.827 *−0.937 *0.851 *
Bacillus aryabhattai−0.325−0.183−0.402−0.866 *0.809 *−0.947 *0.851 *
Pseudonocardia zijingensis−0.311−0.181−0.388−0.870 *0.817 *−0.942 *0.847 *
TM7 phylum0.586−0.4480.4620.551−0.4160.185−0.394
Amycolatopsis australiensis−0.724−0.374−0.705−0.4490.421−0.4500.709
Ralstonia mannitolilytica−0.346−0.049−0.2670.321−0.4390.160−0.079
Kibdelosporangium aridum−0.3840.205−0.418−0.811 *0.665−0.7710.679
Actinosynnema pretiosum0.4590.1020.5510.837 *−0.723 *0.943 *−0.857 *
Asterisk represent significant correlation at p ≤ 0.05 (Pearson correlation coefficient).
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Vu, M.T.; Geraldi, A.; Do, H.D.K.; Luqman, A.; Nguyen, H.D.; Fauzia, F.N.; Amalludin, F.I.; Sadila, A.Y.; Wijaya, N.H.; Santoso, H.; et al. Soil Mineral Composition and Salinity Are the Main Factors Regulating the Bacterial Community Associated with the Roots of Coastal Sand Dune Halophytes. Biology 2022, 11, 695. https://doi.org/10.3390/biology11050695

AMA Style

Vu MT, Geraldi A, Do HDK, Luqman A, Nguyen HD, Fauzia FN, Amalludin FI, Sadila AY, Wijaya NH, Santoso H, et al. Soil Mineral Composition and Salinity Are the Main Factors Regulating the Bacterial Community Associated with the Roots of Coastal Sand Dune Halophytes. Biology. 2022; 11(5):695. https://doi.org/10.3390/biology11050695

Chicago/Turabian Style

Vu, Minh Thiet, Almando Geraldi, Hoang Dang Khoa Do, Arif Luqman, Hoang Danh Nguyen, Faiza Nur Fauzia, Fahmi Ikhlasul Amalludin, Aliffa Yusti Sadila, Nabilla Hapsari Wijaya, Heri Santoso, and et al. 2022. "Soil Mineral Composition and Salinity Are the Main Factors Regulating the Bacterial Community Associated with the Roots of Coastal Sand Dune Halophytes" Biology 11, no. 5: 695. https://doi.org/10.3390/biology11050695

APA Style

Vu, M. T., Geraldi, A., Do, H. D. K., Luqman, A., Nguyen, H. D., Fauzia, F. N., Amalludin, F. I., Sadila, A. Y., Wijaya, N. H., Santoso, H., Manuhara, Y. S. W., Bui, L. M., Hariyanto, S., & Wibowo, A. T. (2022). Soil Mineral Composition and Salinity Are the Main Factors Regulating the Bacterial Community Associated with the Roots of Coastal Sand Dune Halophytes. Biology, 11(5), 695. https://doi.org/10.3390/biology11050695

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