Next Article in Journal
Digestive Enzyme Activities and Gut Emptying Are Correlated with the Reciprocal Regulation of TRPA1 Ion Channel and Serotonin in the Gut of the Sea Urchin Strongylocentrotus intermedius
Next Article in Special Issue
Phylogeny and Metabolic Potential of the Candidate Phylum SAR324
Previous Article in Journal
Molecular Pathophysiology and Potential Therapeutic Strategies of Ketamine-Related Cystitis
Previous Article in Special Issue
Culture-Independent Survey of Thermophilic Microbial Communities of the North Caucasus
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

High Proportions of Radiation-Resistant Strains in Culturable Bacteria from the Taklimakan Desert

1
State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
2
Key Laboratory of Extreme Environmental Microbial Resources and Engineering, Lanzhou 730000, China
3
University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China
4
College of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, China
5
Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
6
College of Geography and Environment Science, Northwest Normal University, Lanzhou 730070, China
*
Author to whom correspondence should be addressed.
Biology 2022, 11(4), 501; https://doi.org/10.3390/biology11040501
Submission received: 13 February 2022 / Revised: 19 March 2022 / Accepted: 23 March 2022 / Published: 24 March 2022
(This article belongs to the Special Issue Microbial Ecology and Evolution in Extreme Environments)

Abstract

:

Simple Summary

Radiation-resistant extremophiles have frequently been found in the Taklimakan Desert, which is known for its harsh conditions. However, there is no systemic study investigating the diversity and proportion of radiation-resistant strains among culturable bacteria. The results of this study revealed the distribution of culturable bacteria in the Taklimakan Desert and indicated high proportions of radiation-resistant strains in the culturable bacteria. The study helps to better understand the ecological origin of radio-resistance and to quantitatively describe the desert as a common habitat for radiation-resistant extremophiles.

Abstract

The Taklimakan Desert located in China is the second-largest shifting sand desert in the world and is known for its harsh conditions. Types of γ-rays or UV radiation-resistant bacterial strains have been isolated from this desert. However, there is no information regarding the proportions of the radiation-resistant strains in the total culturable microbes. We isolated 352 bacterial strains from nine sites across the Taklimakan Desert from north to south. They belong to Actinobacteria, Firmicutes, Proteobacteria, and Bacteroidetes. The phylum Actinobacteria was the most predominant in abundance and Firmicutes had the highest species richness. Bacteroidetes had the lowest abundance and was found in four sites only, while the other three phyla were found in every site but with different distribution profiles. After irradiating with 1000 J/m2 and 6000 J/m2 UV-C, the strains with survival rates higher than 10% occupied 72.3% and 36.9% of all culturable bacteria, respectively. The members from Proteobacteria had the highest proportions, with survival rates higher than 10%. After radiation with 10 kGy γ-rays, Kocuria sp. TKL1057 and Planococcus sp. TKL1152 showed higher radiation-resistant capabilities than Deinococcus radiodurans R1. Besides obtaining several radiation-resistant extremophiles, this study measured the proportions of the radiation-resistant strains in the total culturable microbes for the first time. This study may help to better understand the origin of radioresistance, especially by quantitatively comparing proportions of radiation-resistant extremophiles from different environments in the future.

1. Introduction

Microorganisms with the ability to survive high doses of radiation are known as radioresistant or radiation-resistant extremophiles. Radiation-resistant extremophiles are scattered in the three domains of life and have been isolated from diverse environments [1,2,3,4], which indicates that the radiation-resistant extremophiles do not have a common ancestor and do not have a specific ecological habitat. Since high doses of radiation were not encountered throughout most of life’s evolutionary history, radioresistance is thought to be a byproduct of resistance to other common stressors such as desiccation, oxidation, or heavy metals [5,6,7,8].
Within the varied environments, deserts are the most common places to find radiation-resistant extremophiles. From the Sonoran Desert, extensive diversity of ionizing-radiation-resistant bacteria has been found and isolates of the genera Deinococcus, Geodermatophilus, and Hymenobacter have been recovered after exposure to doses of 17 to 30 kGy γ-rays [9]. Paulino-Lima and his colleagues also isolated some extremely high-UV-C-radiation-resistant microorganisms from the Sonoran Desert and the Atacama Desert [10,11]. From the Sahara Desert, the type strains of radiation-resistant species Deinococcus deserti, Geodermatophilus tzadiensis, Geodermatophilus sabuli, and Geodermatophilus pulveris were isolated and identified [12,13,14]. The desert cyanobacteria, especially the genus Chroococidiopsis, are highly resistant to ionizing radiation [15]. Two Deinococcus thermus strains that were resistant to a dose of >600 J/m2 UV-C and >15 kGy of gamma radiation were isolated from the Lut desert of Iran, the hottest place on Earth [16].
In the Taklimakan Desert, radiation-resistant bacteria have also been isolated. Many of them were identified as novel taxa, including the type strains of Hymenobacter xinjiangensis, Deinococcus taklimakanensis, Deinococcus xinjiangensis, Radiobacillus deserti, Streptomyces taklimakanensis, and Desertibacter roseus [17,18,19,20,21,22]. There were also radiation-resistant yeasts isolated from the Taklimakan Desert, such as the strains XJ5-1 and 13-2 of Aureobasidium melanogenum, which produce melanin or macromolecular pullulan to help them survive in stressful environments [23,24]. Yu and his colleagues [4] investigated the diversity of ionizing-radiation-resistant bacteria in the Taklimakan Desert by isolating bacteria from samples that were irradiated by 3KGy γ-rays, and isolated 53 strains of γ-rays radiation-resistant bacteria belonging to the genera Agrococcus, Arthrobacter, Cellulomonas, Deinococcus, Knoellia, Kocuria, Lysobacter, Microvirga, Nocardioides, Paracoccus, Planomicrobium, Pontibacter, and Rufibacter.
However, all the previous studies focused on isolating the radiation-resistant extremophiles only, and the information about the proportions of the radiation-resistant strains in the total culturable microbes was not measured. This is not helpful in quantitatively describing the best ecological habitats for the radiation-resistant extremophiles to better understand the origin of radioresistance. Some researchers have hypothesized that “radiation resistance is a byproduct of adaptation to desiccation” to explain that the desert is common place to find radiation-resistant extremophiles. However, this has not been proven. Beblo-Vranesevic and colleagues found that there was no correlation between desiccation and radiation tolerance in microorganisms from diverse extreme environments tested under anoxic conditions [25]. More likely, the ROS-scavenging system is the interlinkage that enables the microbes to resist many different stresses [26,27,28], including desiccation and radiation. If this is true, the photochemical production of reactive oxygen species in desert soils [29] can explain the reason for the high likelihood of finding radiation-resistant strains in the desert.
To better understand the ecological niche for radiation-resistant extremophiles, we propose to determine the proportions of the radiation-resistant strains in total culturable bacteria frequencies to find the radiation-resistant strains or abundance of the known radiation-resistant-associated genes in metagenomes from different environments. In this study, when we investigated the diversity and distribution of culturable microorganisms from the Taklimakan Desert, we exposed the isolates to high doses of UV-C for screening the radiation-resistant microorganisms and evaluating the proportions of the radiation-resistant strains in the total culturable microbes to provide comparable data between different environments.

2. Materials and Methods

2.1. Site Description and Sample Collection

The Taklimakan Desert covers an area of 337,600 km2 and 85% of the surface is occupied by active dunes, which makes it the second-largest mobile desert in the world and the largest desert in China [30]. The Taklimakan Desert is hyper-arid, with <25 mm year−1 long-term mean annual precipitation [31] and 1000 mm of potential evapotranspiration. It has a very windy climate, with high solar radiation (http://data.cma.cn, accessed on 20 June 2020). The temperature fluctuates widely from −20 °C to 70 °C.
With intervals of 40 km and a distance of 500 m from the road, nine sampling sites were selected along with the desert road inside the Taklimakan Desert (Figure 1). At each site, triple samples with a depth of 0~5 cm were collected individually from different slope aspects of the dunes in September 2018. The samples were sealed in Labplas sterile bags (EFR-5590E, TWIRL’EM®®, Mississauga, ON, Canada) and stored at −20 °C until analyzed.

2.2. Measurement of Soil Physico-Chemical Properties

The water content (WC) was calculated by the D-value (difference of moisture content before and after drying), as weighting 20 g fresh soil samples in aluminum boxes before and after being dried at 105 ℃ [32]. The soil pH was measured using a pH meter (PT-10, Sartorius, Göttingen, Germany) with the ratio of fresh soil:water = 1:2.5 (w/v) [33]. The electrical conductivity (EC) was measured by the conductivity meter (DDSJ-308A, Leici, Shanghai, China) following the ratio of fresh soil:water = 1:5 (w/v). The contents of total nitrogen (TN), total carbon (TC), and total organic carbon (TOC) were measured by an element analyzer (Elementar Vario-EL, Langenselbold, Hessen Germany) [34,35,36]. For each sample, three parallel measurements of each physico-chemical property were needed.

2.3. Microbial Enumeration

Five grams of soil was mixed with 10 mL sterile saline solution (0.9% NaCl in distilled water) and sterile glass beads in a sterile flask. After shaking in the orbital shaker with 200 rpm at 30 ℃, the suspension was serially diluted. Then 100 μL of each diluted suspension was plated on the agar media of LB (1.0% tryptone, 0.5% yeast extract, 1.0% NaCl, 1.5% agar), R2A (0.05% yeast extract, 0.05% tryptone, 0.05% casamino acid, 0.05% glucose, 0.05% soluble starch, 0.03% K2HPO4, 0.005% MgSO4·7H2O, 0.03% CH3COCOONa, 1.5% agar, pH 7.2), and TSB (1.5% tryptone, 0.5% soya peptone, 0.5% NaCl, pH 7.2) for the isolation and enumeration of culturable bacteria. For each mixture of different dilutions, at least three parallel agar media plates were utilized to meet the minimum numbers for statistical analyses. After the colonies were formed, strains were purified on the LB agar media with the streak plate method, cultivated with 10 mL liquid LB medium, and then stored at −80 ℃ freezer in a solution of medium supplemented with glycerol at a final concentration of 20 % (v/v).

2.4. 16S rRNA Gene Sequencing and Phylogenetic Analyses

The total genomic DNA of the bacterial isolates was extracted using the Bacterial DNA Extraction Kit (Omega Bio-Tek, Norcross, GA, USA) according to its manufacturer’s instructions. The 16S rRNA gene fragment was amplified using the primers 27F and 1492R [37]. The PCR reaction cycling condition was as follows: initial denaturation at 94 °C for 5 min, followed by 30 cycles of denaturation at 95 °C for 30 s, annealing at 55 °C for 30 s, elongation at 72 °C for 45 s, and final elongation at 72 ℃ for 10 min. PCR products were purified and sent to Qinke (Qinke Company, Xi’an, China) for sequencing by the Applied Biosystems 3730XL (ABI 3730XL) sequencer. With the sequencing results, the strains were identified using the EzTaxon-e server [38]. The neighbor-joining trees were recovered in MEGA 6.0 [39]. The sequences were aligned with ClustalW [40]. Kimura’s two-parameters model was utilized to calculate evolutionary distances [41]. Confidence in the topologies of the resultant tree was calculated by the bootstrap test with 1000 resamplings [42].

2.5. Screening Radiation-Resistant Strains

Before the final testing doses of 1000 J/m2 and 6000 J/m2 UV-C were determined to use for irradiation screening, some isolated strains in this study were irradiated by doses ranging between 100–600 J/m2, as reported before, to screen radiation-resistant extremophiles in the pre-experiments [10,11]. Many of the strains had survival rates higher than 90%. Therefore, we chose 10 times the reported dose [16] to screen the UVC-resistant extremophiles. Strains in axenic culturing were grown in liquid LB medium to the later log phase with 200 rpm at 30 ℃. The turbidity of cell suspensions was measured with a spectrophotometer at the wavelength of 600 nm. The cell suspensions were adjusted to OD600 = 1 with liquid LB medium and then divided into 3 aliquots. One was reserved for control without receiving radiation, and it was serially diluted with 103~104 folds and plated on LB and R2A agar media. The other two aliquots were exposed to the UV-C irradiation with doses of 1000 J/m2 and 6000 J/m2, respectively, and then diluted with 10~104 folds and plated on LB and R2A agar media. As a comparison with the reported data, Escherichia coli DSM 30,083 and Deinococcus radiodurans R1, which were purchased from the German collection of microorganisms and cell cultures (DSMZ), were used as the negative control and the positive control, respectively. The plates were incubated at 28 ℃ for 3~7 days and the colonies were counted. The survival rates were calculated. Within the 352 tested strains, the 7 strains with the best survival rates were exposed to γ-rays radiation from a 57 Co/Rh source at a dose of 10 KGy, and Deinococcus radiodurans R1 was used as the control.

2.6. Data Analysis

The map of the sampling sites was drawn by ArcGIS version 10.5 [43]. The one-way analysis of variance (ANOVA) was performed using SPSS 24.0. The software R 3.6.1 was used to perform Spearman analysis to find the correlation between the environmental factors and the abundance of each bacterial species. The network of the correlations was visualized with the software Cytoscape (version 3.7.0) [44]. The other diagrams were drawn by Origin Pro 2017 [45]. The relationship between soil properties (pH, EC, BD, SWC, and C/N) and the proportions matrix of the populations with different survival rates (with intervals at 20%) was determined by redundancy analysis (RDA) using CANOCO (ver. 4.5, Plant Research International, Wageningen, Netherlands) and the significance of the effect of each variable was defined using Monte Carlo permutation tests (permutations = 999). The resulting significance level was tested by the F- and p-values [46].

3. Results

3.1. The Physico-Chemical Properties of Sand Soil from the Taklimakan Desert

The altitudes of the sampling sites ranged from 868 m to 1155 m above sea level. The results from Table 1 show that the samples contained very little water, with values ranging between 0.118–0.276%. Within them, only two sites on the north side had WC values higher than 0.2%. The conductivities varied between 248–733 S/m. The pH values of the samples decreased from 8.92 to 7.92 from north to south in the Taklimakan Desert. The TN had a similar trend, decreasing from 1.352% to 0.668 % (Table 1). The TC varied between 1.135–2.21% with lower values in the middle of the desert, and the values of TOC were between 0.351–0.733% (Table 1).

3.2. Abundance and Diversity of Culturable Bacteria

The total numbers of culturable bacteria ranged between 3.3 × 103–5.1 × 105 CFU/g and varied significantly among the sites. At the phylum level, the abundance of the culturable Actinobacteria decreased from north, 2.47 × 105 CFU/g, to south, 1.71 × 105 CFU/g, namely from site T1 to T9 (Figure 2). Firmicutes and Proteobacteria had similar decreasing trends, with their abundance varying between 0.2 × 105–3.5 × 105 CFU/g and 5.9 × 104–2.24 × 105 CFU/g, respectively. Bacteroidetes were found in four sites only, namely T2–T5, with abundances of less than 3 × 104 CFU/g.
Based on the morphology of the colonies, 2216 isolates were picked from all the agar plates with different media. After purification with restreaking the isolates on agar R2A plates, identical isolates were merged and finally 352 strains were selected for further analyses. The 16S rRNA gene sequencing results were deposited in GenBank with the accession numbers MW827797-MW828147 and MW835718. BLAST of the isolates’ 16S rRNA gene sequences with the Eztaxon database (EzBioCloud.net. Searching the closet type strains of valid species on 29 March 2019) showed that the 352 strains belonged to 4 phyla and 43 genera with different distributions in the nine sampling sites (Figure 3 and Figure S1A–D). The phyla Firmicutes and Actinobacteria had higher species richness, while the phylum Bacteroidetes had only two strains that belonged to Pontibacter and Sphingobacterium (Figure 3). The phylum Actinobacteria had 20 genera in total and the dominant species were the members of the genera Arthorbacter, Citricoccus, Kocuria, Microbacterium, Streptomyces, Nocardioides, and Saccharothrix (Table S1). At the genus level, Bacillus had the highest number of species members, 129 strains, and occupied 84% of the strains of the phylum Firmicutes. Streptomyces and Pseudomonas were the second and third largest member occupant genera and had 70 and 26 strains, respectively. The genera Arthrobacter, Nocardioides, Kocuria, Saccharothrix, Gracilibacillus, Altereythrobacter, and Pseudochrobactrum had more than five strains (Figure 3).

3.3. Distribution of Culturable Bacteria and Correlations with Environmental Factors

Phylogenetic analyses with 16S rRNA gene sequences grouped the 352 strains into 96 phylotypes, and the 16S rRNA gene sequence data of type strains of each phylotype were used to reconstruct the phylogenetic trees (Figure S1A–D). The distribution profiles of the 96 phylotypes were also combined into Figure S1A–D. The phylum Actinobacteria had the most diverse phylotypes, in total 44 phylotypes. Within them, Streptomyces had 11 phylotypes (Figure S1A). The phylotypes in the phyla Firmicutes, Actinobacteria, and Proteobacteria were found in every site, but the phylotypes belonging to phylum Bacteroidetes were found in four sites only, namely the sites T2 to T5. At the genus level, the Bacillus and the Streptomyces were ubiquitously distributed in all the sites (Figure S1A,B). The genus Pontibacter was detected in site T2 only and Sphingobacterium was found in sites T3–T5 (Figure S1D).
Phylotype TKL-G1, affiliated with Bacillus halotolerants, was found in every site (Figure S1C). Some phylotypes were found in northern sites (T1–T5), such as TKL239, TKL101, TKL-G13, TKL-G14, and TKL-G37, affiliated with Bacillus solisilvae, Bacillus zhanjiangensis, Gracilibacillus dipsosauri, Gracilibacillus ureilyticus, and Chelativorans multitrophicus, respectively (Figure S1B). Some phylotypes were found in southern sites only, for instance, TKL1080 and TKL930, affiliated with Rothia mucilaginosa and Shigella flexneri, respectively (Figure S1A,C).
Spearman’s correlation results showed that the environmental factors were significantly correlated with the abundance of some phylotypes from the phyla Actinobacteria, Firmicutes, and Proteobacteria (Figure 4). Within all the analyzed strains, 95 strains (43, 37, and 15 strains in Actinobacteria, Firmicutes, and Proteobacteria, respectively) were significantly correlated with one or several environmental factors. The 43 Actinobacteria strains had 34 significant positive correlations and 16 significant negative correlations. TOC had 18 significant positive correlations and 11 significant negative correlations, WC had 23 significant positive correlations and 11 significant negative correlations, and pH had 26 significant positive correlations and 8 significant negative correlations. Within the phylum Actinobacteria, 27% of the strains showed a significant correlation with TOC, TC, and WC contents. Within the phylum Firmicutes, most strains were significantly correlated with EC, pH, TOC, and TN contents, and the strains with the larger abundance had a higher significant correlation with EC and pH contents (Figure 4).

3.4. Survival Rates after Exposure to UV-C and γ-rays Radiation

In our study, the survival rates of the positive control, Dinococcus radiodurans R1, were 42.1% after 1000 J/m2 UV-C radiation (low-dose UV-C radiation, abbreviated as LR thereafter) and 31.6% after 6000 J/m2 UV-C radiation (high-dose UV-C radiation, abbreviated as HR thereafter), while those of the negative control, Escherichia coli, were 10% under LR and 0.42% under HR, respectively. After radiating all isolates with 1000 J/m2 and 6000 J/m2 UV-C, the strains with survival rates higher than 10% occupied 72.3% and 36.9% of all culturable bacteria, respectively (Figure 5). Within the tested 352 strains, 253 strains had survival rates higher than 10% under LR. In other words, the D10-values (10% survival dose) of these 253 strains were higher than 1000 J/m2 UV-C radiation. Under HR, 134 strains had survival rates higher than 10%. Namely, their D10-values were higher than 6000 J/m2 UV-C radiation. At the phylum level, the survival rates of all members from the phylum Bacteroidetes were lower than those of the negative control, while the proportions of the strains with survival rates higher than 10% were Proteobacteria > Firmicutes > Actinobacteria under HR. The ranks changed with different ranges of survival rates (Figure 5A). Under LR, Firmicutes had the highest proportions of the strain, with survival rates between 20–50% and higher than 80%, while Proteobacteria was the highest, with survival rates between 50–80%. Actinobacteria had the highest proportions, with survival rates between 10–20% (Figure 5A). Redundancy analysis (RDA) results indicated that only TC contents had a significant impact on the proportion matrix, with different survival rates under 6000 J/m2 UV-C radiation (Figure 6B). T4 and T6 had higher proportions of the population with survival rates between 60–80% and over 80%, respectively (Figure 6). Another interesting finding is that almost all the strains with a better radiation-resistance ability than Dinococcus radiodurans R1 were isolated from the central area. For example, TKL1057, the strongest UV-C resistant strains in this study, were isolated from the sites T4, T5, T6, and T7 (Figure S1A–D).
To show the details of the UV-C-resistant capabilities of the culturable bacteria in the Taklimakan Desert, the strains with higher survival rates than Escherichia coli are shown in Figure 7. In the phylum Actinobacteria, 15 strains had higher survival rates under LR than Dinococcus radiodurans R1. The TKL1057, closely related to the species Kocuria indica, had the highest survival rates, namely 92.3% under LR and 87.2% under HR (Figure 7A). In the phylum Firmicutes, 10 strains had higher survival rates under LR than the positive control. Within them, the strain TKL1152 (Planococcus citreus) had the strongest ability for UV-C radiation-resistance. Moreover, the survival rate of TKL1152 was far higher than that of other strains in Firmicutes (Figure 7B). In the phylum Proteobacteria, only five strains had higher survival rates under LR than the positive control. The strongest four strains in Proteobacteria, TKL865 (Paracoccus hibisci), TKL35 (Altererythrobacter soli), TKL855 (Pseudochrobactrum saccharolyticum), and TKL606 (Pseudomonas xanthomarina), had similar survival rates under both LR and HR (Figure 7C).
The survival rates of all the strains under HR decreased when compared with their survival rates under LR, but they did not decrease by equal amounts or proportions, leading to great changes between the survival rates under HR and LR. For example, in the phylum Actinobacteria, TKL860 Citricoccus zhacaiensis and TKL897 Streptomyces griseoviridis had the third and second highest survival rates under HR, respectively, but their survival rates under LR were much lower (Figure 7A). However, the survival rate rankings for the most resistant member in each phylum, namely TKL1057 Kocuria indica, TKL1152 Planococcus citreus, and TKL865 Paracoccus hibisci, did not change (Figure 7).
Dinococcus radiodurans R1 had 13% survival cells after 10KGy γ-rays radiation; these results are the same as those reported previously [47]. With the same dose of γ-rays radiation, the strains TKL1057 and TKL1152 had higher survival rates than Dinococcus radiodurans R1 (Figure 8). The strains TKL606 and TKL865 had survival rates of around 12%, similar to Dinococcus radiodurans R1s. TKL855, TKL897, and TKL860 had survival rates of 11.62%, 9.3%, and 6.2%, respectively (Figure 8).
In addition, the survival rates assay showed that six isolates with strong radiation-resistance ability against both UV-C and γ-rays were pigment-generated with colors such as red, yellow, etc. (the colors of the pigmented isolates are provided in the Supplementary Table S1). Comparing the proportions of 23 pigment-generating strains in the 352 strains, the colored strains had a better radiation-resistance ability than non-colored strains.

4. Discussion

4.1. Diversity of Distribution of Culturable Bacteria in the Taklimakan Desert

To the best of our knowledge, our study is the first to systemically reveal the diversity and distribution of culturable bacteria in the central region of the Taklimakan Desert. Previous studies with pyrosequencing indicated that surface sand samples close to the Taklimakan Desert and the sandstorms originating there were dominated by four phyla—Proteobacteria, Bacteroidetes, Actinobacteria, and Firmicutes [48,49]. In our study, there were the same four phyla but the abundance ranks were very different. After pre-treatment with 3KGy γ-rays, Yu and his colleague isolated bacteria belonging to five phyla, the above four phyla, and Deinococcus-Thermus [4]. However, they used different media, modified TSB and PYFG, and isolated much fewer strains than we did. Some of the literature in Chinese reported that the dominant bacteria were from Firmicutes and Proteobacteria in and around the Taklimakan Desert [50,51,52]. In our study, the phylum Actinobacteria had the highest species richness and was the most widely distributed across the Taklimakan Desert.
In similar environments of shifting sand desert, the dunes of the subtropical coastal forest were dominated by Acidobacteria and Proteobacteria [53], and the tropical coastal dunes were dominated by Actinobacteria, Proteobacteria, Chloroflexi, and Firmicutes [54]. The desert dune in Qinghai–Tibet had very similar diversity, with the dominant phyla being Firmicutes, Actinobacteria, Proteobacteria, and Bacteroidetes [55]. In most deserts, high-throughput sequencing results indicated that the phyla Bacteroidetes, Firmicutes, and Proteobacteria were the dominant bacteria, but, in terms of culturable bacteria, the members of the phylum Actinobacteria were the predominant species [56,57,58,59,60]. For instance, in our study, there were more Gram-positive bacteria, members of the phyla Firmicutes and Actinobacteria, than Gram-negative bacteria in cultured bacteria in the Taklimakan Desert. However, in a similar ecological environment, in the Thar Desert, there were more Gram-negative bacteria, members of the phyla Proteobacteria and Bacteroidetes, than Gram-positive bacteria in cultured bacteria such as members of the phyla Firmicutes and Actinobacteria [61].
The relative abundance of culturable bacteria in the Taklimakan Desert were ranged between 103–105 CFU/g, which generally were 2–4 orders of magnitude less than those in agricultural soils [62,63] and two orders of magnitude less than those in the Sahara and Gibson Deserts [64], but similar to those in dunes [65,66], which might be explained by the nutrient levels. In our study, the abundances of culturable bacteria were decreased from the north to the south, which is consistent with the total nitrogen contents. Moreover, the CFUs of the phylum Actinobacteria presented a regular decrease from site T1 to T9 (Figure 2), where the pH values had the same changes, namely decreasing from north to south in the Taklimakan Desert. Abundance of Actinobacteria is correlated with pH value [67]. The pH value of sand soil from each site that affected the distribution of Actinobacteria was also observed in other deserts [67,68]. Besides the pH value, the presence of the phylum Actinobacteria was also positively correlated with carbon and nitrogen contents in many studies by high-throughput sequencing analysis [69,70,71].

4.2. The Proportions of Radiation-Resistant Strains in the Culturable Bacteria

One of the main purposes of this study was to attempt to find the most probable ecological habitat of radiation-resistant bacteria via determining the proportions of the radiation-resistant strains in the total culturable bacteria and comparing this index between different environments. In the Taklimakan Desert, 72.3% of the culturable bacteria had D10-values higher than 1000 J/m2 UV-C radiation, and 36.9% culturable bacteria had D10-values higher than 6000 J/m2 UV-C radiation (Figure 5). The proportions of the radiation-resistant strains in the total culturable bacteria appear to be quite high, yet we could not compare these proportions with previous studies because there were no reports as regards the proportions of the radiation-resistant strains in the culturable bacteria from the other environments. Previous reports regarding radiation-resistant bacteria strains were mainly to isolate the strain with the resistant capability only. We believe this measurement could be a good indicator to reveal the most probable ecological habitat of radiation-resistant bacteria. In the future, if we have more data about this proportion in varied environments, we may be able to establish the ecological habitat characteristics of the environments after comparison.
Within this study, we compared the profiles of cultivable bacteria from different sites. The results indicate that the hinterland sites had lower proportions of the population with lower survival rates but higher proportions of the population with higher survival rates—for example, the site T4 versus T9. The RDA results indicated that the sites T4 and T6 had higher proportions of the population with survival rates between 60–80% and over 80%, respectively. In addition, the RDA results indicate that TC was a significant factor that had a negative correlation with a higher proportion of survival rates, which might be explained by “more nutrients, less stress” (Figure 6). Nevertheless, due to the low heterogeneity of environmental factors within the Taklimakan Desert, the comparison within the sites is not ideal. We expect to find more interesting results when there are more investigations of the proportions from other environments.
At the phylum level, the relative proportions of the strains with survival rates higher than 10% were Proteobacteria > Firmicutes > Actinobacteria under HR, which contradicts the common-sense view of drought-resistant capability. In previous reports, members from Firmicutes or Actinobacteria were able to tolerate aridity better than those from Proteobacteria [72,73,74]. Under harsh environmental conditions, members of the phyla Actinobacteria and Firmicutes can withstand aridity because of their sporulation or protective dormancy [30,75,76]. In addition, it has been reported that UV-induced DNA damage in Gram-positive bacteria is lower than in Gram-negative bacteria because of a shielding action by the cell wall [77]. This topic deserves to be studied further.
Here we should mention that the doses of UV-C radiation tested in our study were approximately 10-fold higher than those in some previous reports [4,11]. The reason might be due to the different radiation methods. Many previous studies irradiated UV-C after the plating with the cells. Hence, the dose of UV-C radiation per cell might have been different. We suggest adjusting the cell concentrations to a similar level, such as the ~1 OD used in this study, to standardize the radiation energy received for each cell. This standardized measurement would provide advantages in comparing different studies. For example, the γ-rays radiation results of the positive and negative controls were similar to those from other studies because the unit of Gy is a unit of measurement for absorbed radiation per biomass [78,79].

4.3. The Traits of the Strongly Radiation-Resistant Bacteria in the Taklimakan Desert

Within the strains from the Taklimakan Desert, seven strains had a resistance capability that was similar to or even higher than that of Dinococcus radiodurans R1. Within them, two Gram-positive bacterial strains showed higher survival rates than Dinococcus radiodurans under UV-C and γ-rays irradiation by directly radiating the culturable bacteria using UV-C and γ-rays. These are the TKL1057 strains, belonging to the genus Kocuria, and T1152 strains, belonging to the genus Planococcus. In previous reports, in the genus Planococcus, the strains Planococcus citreus DSM 20549, Planococcus maritimus JCM 11543, and Planococcus dechangensis DSM 25,871 were strongly radiation-resistant bacteria [38,80,81]. In the genus Kocuria, several strains from the species Kocuria rhizophila and Kocuria rosea were reported as radiation-resistant [82,83,84].
An interesting finding is that almost all the strains with a radiation-resistance ability greater than or similar to that of Dinococcus radiodurans were isolated in the T4, T5, T6, and T7 sites (Figure S1A–D), all of which were located in the central parts of the Taklimakan Desert. They therefore had longer annual sunshine durations and exposure to more solar irradiation than those from other sites (http://data.cma.cn, accessed on 20 June 2020). This suggests that, rather than the extreme physico-chemical properties of the soil, the key factor in the eco-environment for finding more strongly radiation-resistant bacteria may be the sunshine duration [85].
In addition, strains with a strong radiation-resistance ability against both UV-C and γ-rays were pigment-generated. Comparing the proportion of 6.5% pigment-generated strains in the 352 strains, the strongest seven strains had 85.7% pigment-generated strains (Figure 5 and Supplementary Table S1). For instance, strains TKL1152 and TKL865 could produce red pigments. Moreover, strains TKL1057 and TKL606 could produce gold pigments. Another strong ability of radiation-resistant strains TKL855, TKL860, and TKL897 was that they could produce pink, orange, and purple pigments, respectively. The phenomenon was also observed by the other researchers with different experiments. Some previous studies have reported that, after irradiation, those bacteria that were found with certain kinds of pigments were those that had the greatest radiation-resistant ability [81,86,87], which explains how the pigments of bacteria may absorb irradiation to protect the cells from ionization damage. For example, the deinoxanthin of carotenoids, which could eliminate ROS after UV-C radiation from the secondary metabolites of Dinococcus radiodurans R1, could protect cells from the damage of UV-C radiation [88,89].

5. Conclusions

The Taklimakan Desert has a very low biomass but a quite high diversity of culturable bacterial. The 352 bacterial strains belonged to 4 phyla, with 43 genera having different distributions in the nine sites across the Taklimakan Desert from north to south. The phylum Actinobacteria was the most abundant, while Firmicutes had the highest species richness. Bacteroidetes had the lowest abundance and was found in the north only. The abundance and distribution of the culturable bacteria were affected by the physiochemical traits of the soil. In the culturable bacteria, there were very high proportions of the strains with radiation-resistant capabilities: 72.3% of the culturable bacteria had D10 values of UV-C higher than 1000 J/m2 and 36.9% of the strains’ D10 values were higher than 6000 J/m2. The members from Proteobacteria generally had the highest survival rates after irradiation with UV-C. Within the isolates from the Taklimakan Desert, eight strains had resistance capabilities that were similar to or even greater than those of Dinococcus radiodurans R1. After radiation with 10kGy γ-rays, Kocuria sp. TKL1057 and Planococcus sp. TKL1152 showed higher radiation-resistant capability than Dinococcus radiodurans R1. Besides providing new radiation-resistant extremophile strains, this study provided the proportions of the radiation-resistant strains in the total culturable microbes for the first time, which is helpful to better understand the origin of radio-resistance and to quantitatively describe the desert as a common habitat for radiation-resistant extremophiles.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/biology11040501/s1, Figure S1: Neighbour-joining phylogenetic trees of the phyla of Actinobacteria (A), Firmicutes (B), Proteobacteria (C), and Bacteroidetes (D) based on the 16S rRNA gene sequences and the distribution of the phylotypes.; Table S1: Phylogenetic similarity and color of culturable bacteria in the Taklimakan Desert.

Author Contributions

Conceptualization, G.Z., G.L. and T.C.; methodology, Y.L. and G.Z.; software, Y.L., M.W., J.L. and B.Z.; validation, Y.L., G.Z. and S.Z.; formal analysis, Y.L. and G.Z.; investigation, Y.L. and G.Z.; resources, Y.L., M.W. and J.L.; data curation, G.Z., G.L. and T.C.; writing—original draft preparation, Y.L.; writing—review and editing, Y.L. and G.Z.; visualization, Y.L.; supervision, T.C. and G.Z.; project administration, T.C., G.L. and W.Z.; funding acquisition, T.C. and G.Z. All authors have read and agreed to the published version of the manuscript.

Funding

The work was supported by the National Key Research and Development Program of China (2019YFE0121100), the National Natural Science Foundation of China (31870479), and the Scientific Project of Gansu Province (20YF3WA007, 18JR2TA019, 20JR5RA548).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets generated for this study can be found in GenBank under the accession numbers MW835366-MW835717 and MW835718.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Saleh, Y.G.; Mayo, M.S.; Ahearn, D.G. Resistance of some common fungi to gamma irradiation. Appl. Environ. Microbiol. 1988, 54, 2134–2135. [Google Scholar] [CrossRef] [Green Version]
  2. Gérard, J.C.; Gustin, J.; Grodent, D.; Delamere, P.; Clarke, J.T. Excitation of the FUV Io tail on Jupiter: Characterization of the electron precipitation. J. Geophys. Res. Space Phys. 2002, 107, SMP-30. [Google Scholar] [CrossRef]
  3. Jolivet, E.; Corre, E.; L’Haridon, S.; Forterre, P.; Prieur, D. Thermococcus marinus sp. nov. and Thermococcus radiotolerans sp. nov., two hyperthermophilic archaea from deep-sea hydrothermal vents that resist ionizing radiation. Extrem. Life Under Extrem. Cond. 2004, 8, 219–227. [Google Scholar] [CrossRef]
  4. Yu, L.Z.; Luo, X.S.; Liu, M.; Huang, Q. Diversity of ionizing radiation-resistant bacteria obtained from the Taklimakan Desert. J. Basic Microbiol. 2015, 55, 135–140. [Google Scholar] [CrossRef]
  5. Mattimore, V.; Battista, J.R. Radioresistance of Deinococcus radiodurans: Functions necessary to survive ionizing radiation are also necessary to survive prolonged desiccation. J. Bacteriol. 1996, 178, 633–637. [Google Scholar] [CrossRef] [Green Version]
  6. Billi, D.; Wright, D.J.; Helm, R.F.; Prickett, T.; Potts, M.; Crowe, J.H. Engineering desiccation tolerance in Escherichia coli. Appl. Environ. Microbiol. 2000, 66, 1680–1684. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Shukla, M.; Chaturvedi, R.; Tamhane, D.; Vyas, P.; Archana, G.; Apte, S.; Bandekar, J.; Desai, A. Multiple-stress tolerance of ionizing radiation-resistant bacterial isolates obtained from various habitats: Correlation between stresses. Curr. Microbiol. 2007, 54, 142–148. [Google Scholar] [CrossRef] [PubMed]
  8. Bauermeister, A.; Moeller, R.; Reitz, G.; Sommer, S.; Rettberg, P. Effect of relative humidity on Deinococcus radiodurans’ resistance to prolonged desiccation, heat, ionizing, germicidal, and environmentally relevant UV radiation. Microb. Ecol. 2011, 61, 715–722. [Google Scholar] [CrossRef]
  9. Rainey, F.A.; Ray, K.; Ferreira, M.; Gatz, B.Z.; Nobre, M.F.; Bagaley, D.; Rash, B.A.; Park, M.J.; Earl, A.M.; Shank, N.C.; et al. Extensive diversity of ionizing-radiation-resistant bacteria recovered from Sonoran Desert soil and description of nine new species of the genus Deinococcus obtained from a single soil sample. Appl. Environ. Microbiol. 2005, 71, 5225–5235. [Google Scholar] [CrossRef] [Green Version]
  10. Paulino-Lima, I.G.; Azua-Bustos, A.; Vicuna, R.; Gonzalez-Silva, C.; Salas, L.; Teixeira, L.; Rosado, A.; Leitao, A.A.; Lage, C. Isolation of UVC-tolerant bacteria from the hyperarid Atacama Desert, Chile. Microb. Ecol. 2013, 65, 325–335. [Google Scholar] [CrossRef]
  11. Paulino-Lima, I.G.; Fujishima, K.; Navarrete, J.U.; Galante, D.; Rodrigues, F.; Azua-Bustos, A.; Rothschild, L.J. Extremely high UV-C radiation resistant microorganisms from desert environments with different manganese concentrations. J. Photochem. Photobiol. B Biol. 2016, 163, 327–336. [Google Scholar] [CrossRef]
  12. de Groot, A.; Chapon, V.; Servant, P.; Christen, R.; Saux, M.F.; Sommer, S.; Heulin, T. Deinococcus deserti sp. nov., a gamma-radiation-tolerant bacterium isolated from the Sahara Desert. Int. J. Syst. Evol. Microbiol. 2005, 55, 2441–2446. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Montero-Calasanz Mdel, C.; Göker, M.; Broughton, W.J.; Cattaneo, A.; Favet, J.; Pötter, G.; Rohde, M.; Spröer, C.; Schumann, P.; Klenk, H.P.; et al. Geodermatophilus tzadiensis sp. nov., a UV radiation-resistant bacterium isolated from sand of the Saharan desert. Syst. Appl. Microbiol. 2013, 36, 177–182. [Google Scholar] [CrossRef] [PubMed]
  14. Hezbri, K.; Ghodhbane-Gtari, F.; Montero-Calasanz, M.D.C.; Nouioui, I.; Rohde, M.; Spröer, C.; Schumann, P.; Klenk, H.P.; Gtari, M. Geodermatophilus pulveris sp. nov., a gamma-radiation-resistant actinobacterium isolated from the Sahara desert. Int. J. Syst. Evol. Microbiol. 2016, 66, 3828–3834. [Google Scholar] [CrossRef]
  15. Baqué, M.; Viaggiu, E.; Scalzi, G.; Billi, D. Endurance of the endolithic desert cyanobacterium Chroococcidiopsis under UVC radiation. Extrem. Life Under Extrem. Cond. 2013, 17, 161–169. [Google Scholar] [CrossRef]
  16. Mohseni, M.; Abbaszadeh, J.; Nasrollahi Omran, A. Radiation resistant of native Deinococcus spp. isolated from the Lout desert of Iran “the hottest place on Earth”. Int. J. Environ. Sci. Technol. 2014, 11, 1939–1946. [Google Scholar] [CrossRef] [Green Version]
  17. Zhang, Q.; Liu, C.; Tang, Y.; Zhou, G.; Shen, P.; Fang, C.; Yokota, A. Hymenobacter xinjiangensis sp. nov., a radiation-resistant bacterium isolated from the desert of Xinjiang, China. Int. J. Syst. Evol. Microbiol. 2007, 57, 1752–1756. [Google Scholar] [CrossRef] [Green Version]
  18. Liu, M.; Dai, J.; Liu, Y.; Cai, F.; Wang, Y.; Rahman, E.; Fang, C. Desertibacter roseus gen. nov., sp. nov., a gamma radiation-resistant bacterium in the family Rhodospirillaceae, isolated from desert sand. Int. J. Syst. Evol. Microbiol. 2011, 61, 1109–1113. [Google Scholar] [CrossRef] [Green Version]
  19. Peng, F.; Zhang, L.; Luo, X.; Dai, J.; An, H.; Tang, Y.; Fang, C. Deinococcus xinjiangensis sp. nov., isolated from desert soil. Int. J. Syst. Evol. Microbiol. 2009, 59, 709–713. [Google Scholar] [CrossRef] [Green Version]
  20. Liu, Z.; Kim, M.C.; Wang, L.; Zhu, G.; Zhang, Y.; Huang, Y.; Wei, Z.; Danzeng, W.; Peng, F. Deinococcus taklimakanensis sp. nov., isolated from desert soil. Int. J. Syst. Evol. Microbiol. 2017, 67, 4311–4316. [Google Scholar] [CrossRef]
  21. Yuan, L.L.; Zhang, L.L.; Luo, X.X.; Xia, Z.F.; Sun, B.B.; Zeng, H. Streptomyces taklimakanensis sp. nov., an actinomycete isolated from the Taklimakan desert. Antonie Van Leeuwenhoek 2020, 113, 1023–1031. [Google Scholar] [CrossRef] [PubMed]
  22. Zhao, L.; Zhou, Y.; Li, J.; Xia, Y.; Wang, W.; Luo, X.; Yin, J.; Zhong, J. Transcriptional response of Bacillus megaterium FDU301 to PEG200-mediated arid stress. BMC Microbiol. 2020, 20, 351. [Google Scholar] [CrossRef]
  23. Jiang, H.; Liu, N.N.; Liu, G.L.; Chi, Z.; Wang, J.M.; Zhang, L.L.; Chi, Z.M. Melanin production by a yeast strain XJ5-1 of Aureobasidium melanogenum isolated from the Taklimakan desert and its role in the yeast survival in stress environments. Extremophiles 2016, 20, 567–577. [Google Scholar] [CrossRef] [PubMed]
  24. Jiang, H.; Chen, T.J.; Chi, Z.; Hu, Z.; Liu, G.L.; Sun, Y.; Zhang, S.H.; Chi, Z.M. Macromolecular pullulan produced by Aureobasidium melanogenum 13-2 isolated from the Taklimakan desert and its crucial roles in resistance to the stress treatments. Int. J. Biol. Macromol. 2019, 135, 429–436. [Google Scholar] [CrossRef] [PubMed]
  25. Beblo-Vranesevic, K.; Bohmeier, M.; Perras, A.K.; Schwendner, P.; Rabbow, E.; Moissl-Eichinger, C.; Cockell, C.S.; Vannier, P.; Marteinsson, V.T.; Monaghan, E.P.; et al. Lack of correlation of desiccation and radiation tolerance in microorganisms from diverse extreme environments tested under anoxic conditions. FEMS Microbiol. Lett. 2018, 365–371. [Google Scholar] [CrossRef]
  26. Imlay, J.A. The molecular mechanisms and physiological consequences of oxidative stress: Lessons from a model bacterium. Nat. Rev. Microbiol. 2013, 11, 443–454. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Lushchak, V.I. Adaptive response to oxidative stress: Bacteria, fungi, plants and animals. Comp. Biochem. Physiology. Toxicol. Pharmacol. CBP 2011, 153, 175–190. [Google Scholar] [CrossRef]
  28. Narumi, I. Unlocking radiation resistance mechanisms: Still a long way to go. Trends Microbiol. 2003, 11, 422–425. [Google Scholar] [CrossRef]
  29. Georgiou, C.D.; Sun, H.J.; McKay, C.P.; Grintzalis, K.; Papapostolou, I.; Zisimopoulos, D.; Panagiotidis, K.; Zhang, G.; Koutsopoulou, E.; Christidis, G.E.; et al. Evidence for photochemical production of reactive oxygen species in desert soils. Nat. Commun. 2015, 6, 7100. [Google Scholar] [CrossRef] [Green Version]
  30. Zhao, S.; Yu, Y.; Xia, D.; Yin, D.; He, J.; Liu, N.; Li, F. Urban particle size distributions during two contrasting dust events originating from Taklimakan and Gobi Deserts. Environ. Pollut. 2015, 207, 107–122. [Google Scholar] [CrossRef]
  31. Yang, S.; Yang, T. Exploration of the dynamic water resource carrying capacity of the Keriya River Basin on the southern margin of the Taklimakan Desert, China. Reg. Sustain. 2021, 2, 73–82. [Google Scholar] [CrossRef]
  32. Keren, R.; Lavy, A.; Ilan, M. Erratum to: Increasing the Richness of Culturable Arsenic-Tolerant Bacteria from Theonella swinhoei by Addition of Sponge Skeleton to the Growth Medium. Microb. Ecol. 2016, 72, 496. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Mclean, E.O. Soil pH and Lime Requirement. In Methods of Soil Analysis; American Society of Agronomy, Inc. Soil Science Society of America, Inc.: Madison, WI, USA, 1983; pp. 199–224. [Google Scholar]
  34. Bremner, J.M.; Mulvaney, C.S. Nitrogen—Total. In Methods of Soil Analysis; Soil Science Society of America, American Society of Agronomy: Madison, WI, USA, 1983; pp. 595–624. [Google Scholar]
  35. Nelson, D.W.; Sommers, L.E. Total Carbon, Organic Carbon, and Organic Matter. In Methods of Soil Analysis; Soil Science Society of America, American Society of Agronomy: Madison, WI, USA, 1983; pp. 539–579. [Google Scholar]
  36. Liebner, S.; Rublack, K.; Stuehrmann, T.; Wagner, D. Diversity of aerobic methanotrophic bacteria in a permafrost active layer soil of the Lena Delta, Siberia. Microb. Ecol. 2009, 57, 25–35. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Lane, D.J. 16S/23S rRNA Sequencing. In Nucleic Acid Techniques in Bacterial Systematics; John Wiley & Sons, Inc.: Hoboken, NJ, USA, 1991. [Google Scholar]
  38. Yoon, S.H.; Ha, S.M.; Kwon, S.; Lim, J.; Kim, Y.; Seo, H.; Chun, J. Introducing EzBioCloud: A taxonomically united database of 16S rRNA gene sequences and whole-genome assemblies. Int. J. Syst. Evol. Microbiol. 2017, 67, 1613–1617. [Google Scholar] [CrossRef] [PubMed]
  39. Tamura, K.; Stecher, G.; Peterson, D.; Filipski, A.; Kumar, S. MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. Mol. Biol. Evol. 2013, 30, 2725–2729. [Google Scholar] [CrossRef] [Green Version]
  40. Larkin, M.A.; Blackshields, G.; Brown, N.P.; Chenna, R.; McGettigan, P.A.; McWilliam, H.; Valentin, F.; Wallace, I.M.; Wilm, A.; Lopez, R.; et al. Clustal W and Clustal X version 2.0. Bioinformatics 2007, 23, 2947–2948. [Google Scholar] [CrossRef] [Green Version]
  41. Nishimaki, T.; Sato, K. An Extension of the Kimura Two-Parameter Model to the Natural Evolutionary Process. J. Mol. Evol. 2019, 87, 60–67. [Google Scholar] [CrossRef] [Green Version]
  42. Felsenstein, J. Confidence Limits on Phylogenies: An Approach Using the Bootstrap. Evol. Int. J. Org. Evol. 1985, 39, 783–791. [Google Scholar] [CrossRef]
  43. Yan, H.; Feng, L.; Zhao, Y.; Feng, L.; Wu, D.; Zhu, C. Prediction of the spatial distribution of Alternanthera philoxeroides in China based on ArcGIS and MaxEnt. Glob. Ecol. Conserv. 2020, 21, e00856. [Google Scholar] [CrossRef]
  44. White, J.R.; Nagarajan, N.; Pop, M. Statistical methods for detecting differentially abundant features in clinical metagenomic samples. PLoS Comput. Biol. 2009, 5, e1000352. [Google Scholar] [CrossRef]
  45. Symeonidou, V.; Fotopoulou, F.; Anderson, R.; Finch, A.; Ottersbach, K. 2017–Exploiting the foetal origin of mll-af4-driven acute lymphoblastic leukaemia. Exp. Hematol. 2020, 88, S33–S34. [Google Scholar] [CrossRef]
  46. Ter Braak, C.; Šmilauer, P. Canoco Reference Manual and User’s Guide: Software of Ordination (Version 5.0); Microcomputer Power: Ithaca, NY, USA, 2012. [Google Scholar]
  47. Shuryak, I.; Matrosova, V.Y.; Gaidamakova, E.K.; Tkavc, R.; Grichenko, O.; Klimenkova, P.; Volpe, R.P.; Daly, M.J. Microbial cells can cooperate to resist high-level chronic ionizing radiation. PLoS ONE 2017, 12, e0189261. [Google Scholar] [CrossRef]
  48. An, S.; Couteau, C.; Luo, F.; Neveu, J.; DuBow, M.S. Bacterial diversity of surface sand samples from the Gobi and Taklamaken deserts. Microb. Ecol 2013, 4, 850–860. [Google Scholar] [CrossRef]
  49. An, S.; Sin, H.H.; DuBow, M.S. Modification of atmospheric sand-associated bacterial communities during Asian sandstorms in China and South Korea. Heredity 2015, 114, 460–467. [Google Scholar] [CrossRef] [Green Version]
  50. Zhang, B.; Kong, W.; Wu, N.; Zhang, Y. Bacterial diversity and community along the succession of biological soil crusts in the Gurbantunggut Desert, Northern China. J. Basic Microbiol. 2016, 56, 670–679. [Google Scholar] [CrossRef]
  51. Nan, W.; Yuanming, Z.; Huixia, P.; Dong, Q. Culture-dependent bacteria diversity of moss crusts in the Gurbantunggut Desert. Arid Land Geogr. 2014, 37, 250–258. [Google Scholar] [CrossRef]
  52. Lu, X.; Xiaolu, C.; Shiyan, W.; Lei, S.; Lubing, L. The Diversity of Cultivable Bacteria of Soil in Aqik Valley, the North Boundary of Kumtag Desert. J. Nucl. Agric. Sci. 2017, 31, 342–349. [Google Scholar] [CrossRef]
  53. Lin, Y.-T.; Whitman, W.B.; Coleman, D.C.; Chen, T.-H.; Chiu, C.-Y. Composition of bacterial communities in sand dunes of subtropical coastal forests. Biol. Fertil. Soils 2014, 50, 809–814. [Google Scholar] [CrossRef]
  54. Shet, S.A.; Garg, S. Prokaryotic diversity of tropical coastal sand dunes ecosystem using metagenomics. 3 Biotech 2021, 11, 252. [Google Scholar] [CrossRef]
  55. Bahadur, A.; Zhang, W.; Sajjad, W.; Nasir, F.; Zhang, G.; Liu, G.; Chen, T. Bacterial diversity patterns of desert dunes in the northeastern Qinghai-Tibet Plateau, China. Arch. Microbiol. 2021, 203, 2809–2823. [Google Scholar] [CrossRef]
  56. Mandakovic, D.; Maldonado, J.; Pulgar, R.; Cabrera, P.; Gaete, A.; Urtuvia, V.; Seeger, M.; Cambiazo, V.; González, M. Microbiome analysis and bacterial isolation from Lejía Lake soil in Atacama Desert. Extremophiles 2018, 22, 665–673. [Google Scholar] [CrossRef] [PubMed]
  57. Contador, C.A.; Veas-Castillo, L.; Tapia, E.; Antipán, M.; Miranda, N.; Ruiz-Tagle, B.; García-Araya, J.; Andrews, B.A.; Marin, M.; Dorador, C.; et al. Atacama Database: A platform of the microbiome of the Atacama Desert. Antonie Van Leeuwenhoek 2020, 113, 185–195. [Google Scholar] [CrossRef] [PubMed]
  58. Okoro, C.K.; Brown, R.; Jones, A.L.; Andrews, B.A.; Asenjo, J.A.; Goodfellow, M.; Bull, A.T. Diversity of culturable actinomycetes in hyper-arid soils of the Atacama Desert, Chile. Antonie Van Leeuwenhoek 2009, 95, 121–133. [Google Scholar] [CrossRef] [PubMed]
  59. Arocha-Garza, H.F.; Canales-Del Castillo, R.; Eguiarte, L.E.; Souza, V.; De la Torre-Zavala, S. High diversity and suggested endemicity of culturable Actinobacteria in an extremely oligotrophic desert oasis. PeerJ 2017, 5, e3247. [Google Scholar] [CrossRef] [Green Version]
  60. Molina-Menor, E.; Gimeno-Valero, H.; Pascual, J.; Peretó, J.; Porcar, M. High Culturable Bacterial Diversity from a European Desert: The Tabernas Desert. Front. Microbiol. 2020, 11, 583120. [Google Scholar] [CrossRef]
  61. Chowdhury, S.P.; Schmid, M.; Hartmann, A.; Tripathi, A.K. Identification of diazotrophs in the culturable bacterial community associated with roots of Lasiurus sindicus, a perennial grass of Thar Desert, India. Microb. Ecol. 2007, 54, 82–90. [Google Scholar] [CrossRef]
  62. Bachate, S.P.; Cavalca, L.; Andreoni, V. Arsenic-resistant bacteria isolated from agricultural soils of Bangladesh and characterization of arsenate-reducing strains. J. Appl. Microbiol. 2009, 107, 145–156. [Google Scholar] [CrossRef]
  63. Aljohani, R.; Samarasinghe, H.; Ashu, T.; Xu, J. Diversity and relationships among strains of culturable yeasts in agricultural soils in Cameroon. Sci. Rep. 2018, 8, 15687. [Google Scholar] [CrossRef]
  64. Belov, A.A.; Cheptsov, V.S.; Vorobyova, E.A. Soil bacterial communities of Sahara and Gibson deserts: Physiological and taxonomical characteristics. AIMS Microbiol. 2018, 4, 685–710. [Google Scholar] [CrossRef]
  65. Yu, J.; Steinberger, Y. Soil microbial metabolic profiles in two geomorphological units in a semistable sand-dune ecosystem. Soil Biol. Biochem. 2012, 45, 71–78. [Google Scholar] [CrossRef]
  66. Abdul Majid, S.; Graw, M.F.; Chatziefthimiou, A.D.; Nguyen, H.; Richer, R.; Louge, M.; Sultan, A.A.; Schloss, P.; Hay, A.G. Microbial Characterization of Qatari Barchan Sand Dunes. PLoS ONE 2016, 11, e0161836. [Google Scholar] [CrossRef] [Green Version]
  67. Matsukawa, E.; Nakagawa, Y.; Iimura, Y.; Hayakawa, M. Stimulatory effect of indole-3-acetic acid on aerial mycelium formation and antibiotic production in Streptomyces spp. Actinomycetologica 2007, 21, 32–39. [Google Scholar] [CrossRef] [Green Version]
  68. Zhang, B.; Wu, X.; Tai, X.; Sun, L.; Wu, M.; Zhang, W.; Chen, X.; Zhang, G.; Chen, T.; Liu, G.; et al. Variation in Actinobacterial Community Composition and Potential Function in Different Soil Ecosystems Belonging to the Arid Heihe River Basin of Northwest China. Front. Microbiol. 2019, 10, 2209. [Google Scholar] [CrossRef] [PubMed]
  69. Fierer, N.; Lauber, C.L.; Ramirez, K.S.; Zaneveld, J.; Bradford, M.A.; Knight, R. Comparative metagenomic, phylogenetic and physiological analyses of soil microbial communities across nitrogen gradients. ISME J. 2012, 6, 1007–1017. [Google Scholar] [CrossRef] [Green Version]
  70. Lauber, C.L.; Hamady, M.; Knight, R.; Fierer, N. Pyrosequencing-based assessment of soil pH as a predictor of soil bacterial community structure at the continental scale. Appl. Environ. Microbiol. 2009, 75, 5111–5120. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  71. Riquelme, C.; Marshall Hathaway, J.J.; Enes Dapkevicius Mde, L.; Miller, A.Z.; Kooser, A.; Northup, D.E.; Jurado, V.; Fernandez, O.; Saiz-Jimenez, C.; Cheeptham, N. Actinobacterial Diversity in Volcanic Caves and Associated Geomicrobiological Interactions. Front. Microbiol. 2015, 6, 1342. [Google Scholar] [CrossRef] [Green Version]
  72. Hauschild, P.; Röttig, A.; Madkour, M.H.; Al-Ansari, A.M.; Almakishah, N.H.; Steinbüchel, A. Lipid accumulation in prokaryotic microorganisms from arid habitats. Appl. Microbiol. Biotechnol. 2017, 101, 2203–2216. [Google Scholar] [CrossRef]
  73. Abadi, V.; Sepehri, M.; Rahmani, H.A.; Dolatabad, H.K.; Shamshiripour, M.; Khatabi, B. Diversity and abundance of culturable nitrogen-fixing bacteria in the phyllosphere of maize. J. Appl. Microbiol. 2021, 131, 898–912. [Google Scholar] [CrossRef]
  74. Amin, A.; Ahmed, I.; Khalid, N.; Khan, I.U.; Ali, A.; Dahlawi, S.M.; Li, W.J. Insights on comparative bacterial diversity between different arid zones of Cholistan Desert, Pakistan. 3 Biotech 2020, 10, 224. [Google Scholar] [CrossRef]
  75. Genderjahn, S.; Alawi, M.; Mangelsdorf, K.; Horn, F.; Wagner, D. Desiccation- and Saline-Tolerant Bacteria and Archaea in Kalahari Pan Sediments. Front. Microbiol. 2018, 9, 2082. [Google Scholar] [CrossRef]
  76. Gao, J.; Luo, Y.; Wei, Y.; Huang, Y.; Zhang, H.; He, W.; Sheng, H.; An, L. Effect of aridity and dune type on rhizosphere soil bacterial communities of Caragana microphylla in desert regions of northern China. PLoS ONE 2019, 14, e0224195. [Google Scholar] [CrossRef] [Green Version]
  77. Rosenstein, B.S. Solar-UV Actions on Living Cells. Praeger Special Studies; Jagger, J., Ed.; Praeger Publishing: New York, NY, USA, 1985. [Google Scholar]
  78. Kim, S.W.; Achana, F.; Petrou, S. A bootstrapping approach for generating an inverse distance weight matrix when multiple observations have an identical location in large health surveys. Int. J. Health Geogr. 2019, 18, 27. [Google Scholar] [CrossRef] [PubMed]
  79. Lee, C.; Choi, N.; Bae, M.K.; Choo, K.; Lee, S.J. Transposition of Insertion Sequences was Triggered by Oxidative Stress in Radiation-Resistant Bacterium Deinococcus geothermalis. Microorganisms 2019, 7, 446. [Google Scholar] [CrossRef] [Green Version]
  80. Thirkell, D.; Summerfield, M. Variation in pigment production by Planococcus citreus Migula with cultural age and with sea salt concentration in the medium. Antonie Van Leeuwenhoek 1980, 46, 51–57. [Google Scholar] [CrossRef]
  81. Wang, K.; Zhang, L.; Li, J.; Pan, Y.; Meng, L.; Xu, T.; Zhang, C.; Liu, H.; Hong, S.; Huang, H.; et al. Planococcus dechangensis sp. nov., a moderately halophilic bacterium isolated from saline and alkaline soils in Dechang Township, Zhaodong City, China. Antonie Van Leeuwenhoek 2015, 107, 1075–1083. [Google Scholar] [CrossRef] [PubMed]
  82. Mehrabadi, J.F.; Mirzaie, A.; Ahangar, N.; Rahimi, A.; Rokni-Zadeh, H. Draft Genome Sequence of Kocuria rhizophila RF, a Radiation-Resistant Soil Isolate. Genome Announc. 2016, 4, e00095-16. [Google Scholar] [CrossRef] [Green Version]
  83. Guesmi, S.; Pujic, P.; Nouioui, I.; Dubost, A.; Najjari, A.; Ghedira, K.; Igual, J.M.; Miotello, G.; Cherif, A.; Armengaud, J.; et al. Ionizing-radiation-resistant Kocuria rhizophila PT10 isolated from the Tunisian Sahara xerophyte Panicum turgidum: Polyphasic characterization and proteogenomic arsenal. Genomics 2021, 113, 317–330. [Google Scholar] [CrossRef]
  84. Melin, A.M.; Perromat, A.; Lorin, C.; Déléris, G. Gamma irradiation and cellular damage in Kocuria rosea: Investigation by one- and two-dimensional infrared spectroscopy. Arch. Biochem. Biophys. 2002, 408, 211–219. [Google Scholar] [CrossRef]
  85. Liu, L.; Choi, S. A Paper-Based Biological Solar Cell. SLAS Technol. 2019, 25, 75–81. [Google Scholar] [CrossRef]
  86. Pulschen, A.A.; Rodrigues, F.; Duarte, R.T.; Araujo, G.G.; Santiago, I.F.; Paulino-Lima, I.G.; Rosa, C.A.; Kato, M.J.; Pellizari, V.H.; Galante, D. UV-resistant yeasts isolated from a high-altitude volcanic area on the Atacama Desert as eukaryotic models for astrobiology. MicrobiologyOpen 2015, 4, 574–588. [Google Scholar] [CrossRef]
  87. Jackson, E.; Heidl, M.; Imfeld, D.; Meeus, L.; Schuetz, R.; Campiche, R. Discovery of a Highly Selective MC1R Agonists Pentapeptide to Be Used as a Skin Pigmentation Enhancer and with Potential Anti-Aging Properties. Int. J. Mol. Sci. 2019, 20, 6143. [Google Scholar] [CrossRef] [Green Version]
  88. Dib, J.R.; Weiss, A.; Neumann, A.; Ordonez, O.; Estevez, M.C.; Farias, M.E. Isolation of bacteria from remote high altitude Andean lakes able to grow in the presence of antibiotics. Recent Pat. Anti-Infect. Drug Discov. 2009, 4, 66–76. [Google Scholar] [CrossRef]
  89. Farci, D.; Slavov, C.; Tramontano, E.; Piano, D. The S-layer Protein DR_2577 Binds Deinoxanthin and under Desiccation Conditions Protects against UV-Radiation in Deinococcus radiodurans. Front. Microbiol. 2016, 7, 155. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. The sampling sites of the Taklimakan Desert, northwestern China.
Figure 1. The sampling sites of the Taklimakan Desert, northwestern China.
Biology 11 00501 g001
Figure 2. The numbers of culturable bacteria (mean ± SD) of the nine sampling sites. For each graphic, different lower-case letters among site treatments indicate significant differences (p < 0.05, Tukey’s HSD tests), while the symbol * refers to p < 0.01.
Figure 2. The numbers of culturable bacteria (mean ± SD) of the nine sampling sites. For each graphic, different lower-case letters among site treatments indicate significant differences (p < 0.05, Tukey’s HSD tests), while the symbol * refers to p < 0.01.
Biology 11 00501 g002
Figure 3. Species richness of the 4 phyla at the genus level. The different columns of each bar with different colors represent different genera, and the height of each column with different colors represents the species richness.
Figure 3. Species richness of the 4 phyla at the genus level. The different columns of each bar with different colors represent different genera, and the height of each column with different colors represents the species richness.
Biology 11 00501 g003
Figure 4. Co-occurrence networks of culturable bacterial species associated with environmental factors. A node refers to a species and the size of each node indicates the abundance of the species. Each edge means significant correlations between the nodes. Within the edges, the solid line and the dashed lines represent positive and negative correlations, respectively, while the black and red lines refer to Spearman’s correlation at the levels of p < 0.05 and p < 0.01, respectively.
Figure 4. Co-occurrence networks of culturable bacterial species associated with environmental factors. A node refers to a species and the size of each node indicates the abundance of the species. Each edge means significant correlations between the nodes. Within the edges, the solid line and the dashed lines represent positive and negative correlations, respectively, while the black and red lines refer to Spearman’s correlation at the levels of p < 0.05 and p < 0.01, respectively.
Biology 11 00501 g004
Figure 5. The proportions of the radiation-resistant strains in total culturable bacteria under the different doses of radiation in each phylum: (a) after irradiation with a low radiation of 1000 J/m2 (LR); (b) after a high radiation of 6000 J/m2 (HR) of UV-C radiation.
Figure 5. The proportions of the radiation-resistant strains in total culturable bacteria under the different doses of radiation in each phylum: (a) after irradiation with a low radiation of 1000 J/m2 (LR); (b) after a high radiation of 6000 J/m2 (HR) of UV-C radiation.
Biology 11 00501 g005
Figure 6. The correlation analyses among the sample sites, environmental factors, and survival rates matrix with a low radiation of 1000 J/m2 (A) and a high radiation of 6000 J/m2 (B). WC, water content; EC, electrical conductivity; TN, total nitrogen; TC, total carbon; TOC, total organic carbon.
Figure 6. The correlation analyses among the sample sites, environmental factors, and survival rates matrix with a low radiation of 1000 J/m2 (A) and a high radiation of 6000 J/m2 (B). WC, water content; EC, electrical conductivity; TN, total nitrogen; TC, total carbon; TOC, total organic carbon.
Biology 11 00501 g006
Figure 7. Viability of 44 isolates, 32 isolates, and 21 isolates affiliated with the phyla Actinobacteria (A), Firmicutes (B), and Proteobacteria (C), respectively, after irradiation with a low radiation of 1000 J/m2 (LR) and a high radiation of 6000 J/m2 (HR) of UV-C radiation. The survival values of Dinococcus radiodurans and Escherichia coli were used as controls and are shown for comparison. The survival rates of all members from the phylum Bacteroidetes were less than the negative control and were not displayed in this figure.
Figure 7. Viability of 44 isolates, 32 isolates, and 21 isolates affiliated with the phyla Actinobacteria (A), Firmicutes (B), and Proteobacteria (C), respectively, after irradiation with a low radiation of 1000 J/m2 (LR) and a high radiation of 6000 J/m2 (HR) of UV-C radiation. The survival values of Dinococcus radiodurans and Escherichia coli were used as controls and are shown for comparison. The survival rates of all members from the phylum Bacteroidetes were less than the negative control and were not displayed in this figure.
Biology 11 00501 g007
Figure 8. Viability of the 8 most UV-C resistant bacterial strains after irradiation with a 10 KGy dose of γ-rays irradiation. The Dinococcus radioduran R1 was used as a control.
Figure 8. Viability of the 8 most UV-C resistant bacterial strains after irradiation with a 10 KGy dose of γ-rays irradiation. The Dinococcus radioduran R1 was used as a control.
Biology 11 00501 g008
Table 1. The physicochemical properties (mean ± SD) of the desert samples.
Table 1. The physicochemical properties (mean ± SD) of the desert samples.
SamplesAltitude (m)WC (%)pHEC (S/m)TN (%)TC (%)TOC (%)
T1868 ± 3.20.218 ± 0.0108.58 ± 0.11310 ± 0.121.352 ± 0.112.321 ± 0.120.732 ± 0.016
T2876 ± 3.20.276 ± 0.0208.92 ± 0.18386 ± 2.231.352 ± 0.112.122 ± 0.250.712 ± 0.008
T3901 ± 3.20.118 ± 0.0088.62 ± 0.24297 ± 0.581.221 ± 0.051.655 ± 0.310.733 ± 0.012
T4938 ± 3.20.145 ± 0.0208.67 ± 0.21458 ± 0.451.022 ± 0.151.135 ± 0.150.659 ± 0.037
T5982 ± 3.20.153 ± 0.0208.82 ± 0.13633 ± 0.340.998 ± 0.081.685 ± 0.080.652 ± 0.034
T61045 ± 3.20.162 ± 0.0128.43 ± 0.18248 ± 1.220.998 ± 0.091.674 ± 0.090.632 ± 0.034
T71068 ± 3.20.134 ± 0.0258.01 ± 0.22671 ± 1.340.668 ± 0.022.122 ± 0.080.598 ± 0.019
T81080 ± 3.20.185 ± 0.0087.92 ± 0.31496 ± 1.380.889 ± 0.022.135 ± 0.050.351 ± 0.034
T91155 ± 3.20.165 ± 0.0107.92 ± 0.18733 ± 0.380.768 ± 0.082.134 ± 0.010.653 ± 0.016
Note: WC, water content; EC, electrical conductivity; TN, total nitrogen; TC, total carbon; TOC, total organic carbon.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Liu, Y.; Chen, T.; Li, J.; Wu, M.; Liu, G.; Zhang, W.; Zhang, B.; Zhang, S.; Zhang, G. High Proportions of Radiation-Resistant Strains in Culturable Bacteria from the Taklimakan Desert. Biology 2022, 11, 501. https://doi.org/10.3390/biology11040501

AMA Style

Liu Y, Chen T, Li J, Wu M, Liu G, Zhang W, Zhang B, Zhang S, Zhang G. High Proportions of Radiation-Resistant Strains in Culturable Bacteria from the Taklimakan Desert. Biology. 2022; 11(4):501. https://doi.org/10.3390/biology11040501

Chicago/Turabian Style

Liu, Yang, Tuo Chen, Juan Li, Minghui Wu, Guangxiu Liu, Wei Zhang, Binglin Zhang, Songlin Zhang, and Gaosen Zhang. 2022. "High Proportions of Radiation-Resistant Strains in Culturable Bacteria from the Taklimakan Desert" Biology 11, no. 4: 501. https://doi.org/10.3390/biology11040501

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