1State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, PR China
2Jiangsu Key Laboratory for Microbes and Functional Genomics, Jiangsu Engineering and Technology Research Center for Microbiology, College of Life Science, Nanjing Normal University, Nanjing, PR China
*Corresponding author: B. Lian, Jiangsu Key Laboratory for Microbes and Functional Genomics, Jiangsu Engineering and Technology Research Center for Microbiology, College of Life Science, Nanjing Normal University, Nanjing, PR China; e-mail: firstname.lastname@example.org
Submitted 9 December 2015, revised 24 February 2016, accepted 26 August 2016
The endolithic environment is a ubiquitous habitat for microorganisms and a critical interface between biology and geology. In this study, a culture-based method and the phylogenetic analysis based on 16S rRNA and internal transcribed spacer (ITS) sequences were used to investigate the diversity of endolithic bacteria and fungi in two main types of carbonate rocks (namely dolomite and limestone) from Nanjiang Canyon in Guizhou karst area, China. The results of bacterial diversity indicated that all bacteria isolated from dolomite and limestone rocks were divided into 4 bacterial groups, including Proteobacteria, Actinobacteria, Firmicutes and Bacteroidetes. For these two kinds of rocks, Proteobacteria was the first dominant group, and Gammaproteobacteria occupied the greatest proportion which might be closely related to Pseudomonas in phylogeny to be the most dominant genera after isolation. Actinobacteria and Bacillus bacteria were also widespread in these two kinds of rock environments. There were only 9 and 8 strains of fungi isolated from dolomite and limestone respectively, which all belonged to Ascomycota. To the best of our knowledge, this is the first report on diversity of endolithic culturable bacteria and fungi in carbonate rocks in Guizhou karst region. These microorganisms may play an important and unprecedented role in the carbonate rock weathering during the long history of geological evolution.
Keywords: endolithic bacteria, endolithic fungi, carbonate rock
The endolithic environment, the tiny pore and crack space in rocks, is a ubiquitous habitat for microorganisms and a critical interface between biology and geology (Friedmann, 1982; Walker and Pace, 2007a). Microorganisms native to the endolithic environment must possess adaptive ability and tolerance to severe stresses including rapid temperature variations, oligotrophy, desiccation, and high UV flux (Sigler et al., 2003; Selbmann et al., 2013). Communities of microorganisms that inhabit endolithic environments include autotrophic and heterotrophic bacteria, fungi, algae, and lichens (Sigler et al., 2003). The endolithic microorganisms rarely existed by means of single colony formed by a single species, while they usually grew collectively to form microbial community with complex, various structures and functions (Gorbushina et al., 2004; Gorbushina, 2007). Nowadays, endolithic microorganisms have been observed not only in a variety of extreme terrestrial ecosystems but also in temperate environments (Gerrath et al., 2000; Wierzchos et al., 2006; Horath and Bachofen, 2009; Wong et al., 2010; Tang et al., 2012). They also have been detected inhabiting a variety of rock types such as halite, sandstone, quartz, gypsum, dolomite and limestone (Dong et al., 2007; Gorbushina, 2007; Tang et al., 2012; Roldan et al., 2014).
Nowadays, many investigations of endolithic microbial communities used culture-independent techniques (Sigler et al., 2003; Walker and Pace, 2007b; Horath and Bachofen, 2009; Wong et al., 2010). Although, culture-independent methods can provide important information about the diversity of phylogenetic groups in endolithic environments, pure cultures are still indispensable for the determination of the metabolic activity of microorganisms, which can be significantly different even among closely related phylotypes (Spring et al., 2015). In addition, the culturable microorganisms account for about 0.001%~15% of the total microorganisms of environmental samples (Tamaki et al., 2005). Thus, a considerable part identified by culture-independent method is uncultured microbial species. Pure culture method played and plays an irreplaceable role in exploring microbial community structures, especially in the following aspects, such as new species or special functional microbes, etc (De Leo et al., 2012; Krakova et al., 2015). However, to date, no study has examined the endolithic microbial community in Guizhou karst environment using culture-dependent method. This method has the potential to improve our understanding of microbial diversity and facilitate functional studies of endolithic microorganisms.
Guizhou, a province in southwest of China, is one of the three largest developing karst areas in the world. The carbonate rock area is 130,000 km2, covering 73.8% of total land surface area of the province. The weathering of carbonate rocks influences the geochemical compositions of rocks, soils, the atmosphere, and organisms, and the transfer process of matter and energy in the karst environment (Lian et al., 2010). Endolithic microorganisms have been found to be directly and indirectly involved in the weathering of carbonate rocks. Papida et al. (2000) found that a mixed microbial population exacerbated physical weathering of carbonate rocks. The endolithic microorganisms play an important and unprecedented role in the carbonate rock weathering during the long history of geological evolution. So, the aim of the present study was therefore to investigate the endolithic microbial diversity in dolomite and limestone rocks in karst area of Guizhou Province using culture-dependent techniques. Combined with the culture-independent method at the early stage (Tang and Lian, 2012; Tang et al., 2012), endolithic microbial diversity of carbonate rocks could be reflected more fully. Meanwhile, the research laid the foundation to further explore the carbonate rock weathering by using the microbial resources in the karst endolithic environment.
Materials and Methods
Site description and sample collection. Nanjiang canyon (26°56′N, 106°58′E) is a typical karst canyon, which is praised as “Karst Ecosystem Museum”. It is located in Kaiyang County of Guizhou Province, southwest China. Details of the site are given in our previous study (Tang and Lian, 2012; Tang et al., 2012). There are a lot of exposed carbonate rocks in this area. The dolomite and limestone rocks are weathered and porous. The soil developed on its weathering crust is non-zonal soil with shallow soil layers and no apparent genetic layers. In this area, three Triassic dolomite (D1-D3) and three Triassic limestone samples (L1-L3) up to a depth of ~1 cm were collected using a sterile rock chisel and placed in sterile bags on ice. The samples were kept at 4°C until subjected to microbial isolation. All samples were collected in September 2009.
Powder X-ray diffraction. For mineralogy in the dolomite and limestone rock samples, powder X-ray diffraction patterns were obtained using CuKa radiation at 40 kV with an X-ray diffractometer (D/Max-2200/PC, Rigaku). The results revealed 2 dolomite samples to be pure dolomite rocks and one dolomite sample to be mostly dolomite (99%) with trace amounts of anorthose. The 3 limestone samples were mostly calcite (97%-99%) containing trace of dolomite and quartz.
Isolation and enumeration of microorganisms. In accordance with the requirements of aseptic technique, the mineral powder of each crush rock sample was scraped. After serial dilution, they were coated on beef extract-peptone agar medium (5 g/l beef extract, 10 g/l peptone and 15 g/l agar) and Martin culture medium (1 g/l K2HPO4, 0.5 g/l MgSO4·7H2O, 5 g/l peptone, 10 g/l glucose, 15~20 g/l agar and 3.3 ml/l 1% streptomycin aqueous solution). Then they were reversely cultivated under constant temperature of 30°C. After 2~3 days for bacteria or 5~7 days for fungi, the colony counting could be obtained. The single colonies with different phenotypes, were picked up and the purified strains were transferred to the corresponding agar slants for conservation at 4°C.
DNA extraction, PCR amplification, and sequencing. DNA extraction and PCR amplification were performed using the TIANcombi DNA Lyse&Amp PCR Kit (Tiangen Biochemical technology Co., Ltd., China). The bacterial universal primers 27F (5’-AGAGTTTGATCCTGGCTCAG-3’) and 1492R (5’-GGTTACCTTGTTACGACTT-3’) and fungal universal primers ITS1 (5’- TCCGTAGGTGAACCTGCGG-3’) and ITS4 (5’- TCCTCCGCTTATTGATATGC-3’), were used to amplify the bacterial 16S rDNA and fungal internal transcribed spacer (ITS) sequences, respectively. All of the primers were synthesized by Shanghai Sangong Co., Ltd., China.
All reactions were carried out in a 50 ul reaction mixture, containing 25 ul of 2×PCR Reagent, 1.25 ul of forward primer and reverse primer (10 uM) respectively and 5 ul of DNA template. PCR was run under the following conditions: initial denaturation at 94°C for 5 min; followed by 30 circles of 1 min denaturation at 94°C, 1 min annealing at 52°C, 2 min extension at 72°C, and a final extension step of 10 min at 72°C. The results of PCR amplification were confirmed using 1% agarose gel, stained with SYBR Safe 10.000 × in DMSO (Invitrogen). PCR products were subsequently purified using PCR purification kit (E.A.N.A. Gel Extraction kit, OMEGA, USA) and subjected to sequencing in an ABI PRISM 3730 automatic sequencer (Shanghai Sangon Co., Ltd., China).
Phylogenetic analysis. DNA sequences were analyzed using Bellerophon (Huber et al., 2004) and CHIMERA_CHECK (Cole et al., 2003) software to remove chimeric artifacts. The sequences were considered to be of the same phylotype if they were ≥ 97% similar to one another over the region of the 16s or ITS rRNA gene sequenced (Stackebrandt and Ebers, 2006). Then the effective sequences were compared with known sequences in the NCBI database (http://www.ncbi.nih.gov/) by Basic Local Alignment Search Tool (BLAST) (Altschul et al., 1990). The sequences were aligned using Clustal X software (Thompson et al., 1997), and phylogenetic trees were constructed with the Mega 4.0 program package using the neighbor-joining method (Kumar et al., 2004). Bootstrap confidence values were obtained with 1000 replicates. The trees were constructed by calculating the Kimura distance (Kimura, 1980).
Nucleotide sequence Accession numbers. The nucleotide sequences reported in this study have been deposited in GenBank under accession numbers JN650544 – JN650602.
Isolation and enumeration of microorganisms. Beef extract-peptone agar medium was utilized to isolate bacteria of rock samples. There were 39 strains and 26 strains of bacteria with different phenotypic characteristics in dolomite and limestone respectively. Fungi of rock samples were separated by Martin culture medium, and dolomite and limestone respectively obtained 9 and 8 strains of fungi with different colony phenotypes. It was calculated that the culturable bacteria of dolomite and limestone were about 2.3 × 105 CFU/g and 2.0 ×105 CFU/g by using dilution-plate method; while the culturable fungi were about 7.7 × 103 CFU/g and 3.0 × 103 CFU/g respectively.
Diversity of the bacterial 16S rRNA gene sequences from dolomite rocks. There were 39 effective sequences in total by sequencing 16S rDNA for the isolates of 39 strains of dolomite. The alignment results of similarity indicated that they were classified into 4 phyla, 15 genera and 26 species (Table I). These 39 strains of bacteria showed high similarity with the known 16S rDNA sequences in database, namely 98% ~100%.
The sequence analysis of 16S rDNA (see Table I and Fig. 1) illustrates that 39 strains of bacteria from dolomite were classified into 4 major bacteria groups. More than 53.8% of them belonged to Proteobacteria, which including 12 strains of Gammaproteobacteria, accounting for 30.8%; 5 strains of Alphaproteobacteria, accounting for 12.8%; and 4 strains of Betaproteobacteria, accounting for 10.2%. In addition, 10 strains were from Actinobacteria, and accounted for 25.7%, while 7 strains were Firmicutes, accounting for 17.9%. Moreover, one strain belonged to Bacteroidetes, accounting for 2.6%.
Similarity analysis of 16S rDNA sequences of isolates from dolomite rocks
|No. of isolates
|Nearest type strain (accession no.)||Similarity
|DCB14(JN650552)||2||Arthrobacter sp. (HM165265)||99|
|DCB16(JN650554)||1||Arthrobacter sp. (HQ166103)||99|
|DCB48(JN650561)||1||Arthrobacter sp. (FN794213)||99|
|DCB18(JN650556)||1||Microbacterium oxydans (HQ202812)||99|
|DCB15(JN650553)||1||Rhodococcus sp. (JF900087)||99|
|DCB17(JN650555)||2||Rhodococcus sp. (EF612316)||99|
|DCB61(JN650569)||2||Streptomyces zaomyceticus (FJ792553)||100|
|DCB47(JN650560)||1||Dyadobacter sp. (HQ231938)||99|
|DCB46 (JN650559)||1||Paenibacillus sp. (FJ006903)||99|
|DCB1（JN650544）||3||Bacillus cereus (GU969128)||99|
|DCB23(JN650558)||1||Bacillus simplex (JF496520)||100|
|DCB19(JN650557)||1||Brevundimonas vesicularis (FJ999941)||99|
|DCB60(JN650568)||1||Brevundimonas sp. (DQ778038)||99|
|DCB49(JN650562)||1||Methylobacterium sp. (FN868959)||99|
|DCB53(JN650564)||2||Sphingobium amiense (JF459961)||100|
|DCB58(JN650566)||1||Duganella sp. (JF778719)||99|
|DCB59(JN650567)||1||Duganella zoogloeoides (NR_025833)||99|
|DCB52(JN650563)||1||Massilia sp. (DQ257420)||99|
|DCB56(JN650565)||1||Massilia sp. (AB552860)||98|
|DCB6(JN650546)||1||Enterobacter amnigenus (DQ481471)||99|
|Table Ⅰ (Continued)|
|No. of isolates in OUT*||Nearest type strain (accession no.)||Similarity
|DCB7(JN650547)||3||Pseudomonas sp. (FN547413)||99|
|DCB11(JN650550)||2||Pseudomonas sp. (AM934695)||99|
|DCB13(JN650551)||4||Pseudomonas putida (EU118779)||99|
* The strains were clustered into operational taxonomic units (OTUs) at a level of sequence similarity ≥ 97%.
Gammaproteobacteria, as one subphylum of Proteobacteria, accounted for the highest ratio of culturable bacteria in the endolithic dolomite environment so that it was regarded as the most dominant group obtained by isolation. The 10 strains of bacteria in the group, accounting for 25.6%, had close relations with Pseudomonas in phylogeny, and the similarity of 16S rDNA sequences was 99%. Thus, the group was the most dominant bacterial genus acquired by isolation. Therein, four strains were closely associated with Pseudomonas putida, 1 strain was highly homologous to Pseudomonas nitroreducens. In Alphaproteobacteria, there were 2 strains which were closely related to Brevundimonas and Sphingobium respectively and 1 strain had homology of 99% with Sphingobium. Besides, 4 strains of bacteria belonged to Betaproteobacteria, where 2 strains were Duganella and the other 2 strains belonged to Marseille.
Actinobacteria was the second dominant group of the culturable bacteria from dolomite. In this group, 4 strains of bacteria had a close genetic relationship with Arthrobacter; three of them were highly homologous with Rhodococcus; the homology of two strains and Streptomyces zaomyceticus (FJ792553) reached 100%; and the rest one was 99% homologous with Microbacterium oxydans (HQ202812).
There were 7 strains of bacteria in Firmicutes, including 6 Bacillus, which were the second dominant genera of the culturable bacteria from dolomite. In this group, three of them were 99% homologous with Bacillus cereus (GU969128), two showed high homology with Bacillus sphaericus (DQ286315), and one was 100% homologous with Bacillus simplex (JF496520). Moreover, DCB46 was 99% homologous with Paenibacillus sp. (FJ006903).
Only one strain of bacteria belonged to Bacteroidetes, which was 99% homologous with Dyadobacter sp. (HQ231938).
Diversity of the bacterial 16S rRNA gene sequences from limestone rocks. 16S rDNA of 26 bacterium isolates from limestone was sequenced to obtain 26 effective sequences in total. The relationships between 16S rDNA sequence of the bacteria isolated from limestone and the most similar sequence in GenBank database are listed in Table II. It can be seen that they were divided into 4 phyla, 13 genera and 17 species. There was a high similarity between the 26 strains of bacteria and the known 16S rDNA sequences in GenBank database. Among them, the similarity of LCB37 was 96% only, while that of the rest was higher than 97%.
As indicated by 16S rDNA phylogenetic analysis, the 26 strains of bacteria isolated from limestone were assigned to 4 major phylogenetic groups (Fig. 2). It can be known that Proteobacteria played a dominant role in bacterial diversity and had 18 strains, taking up 69.3%, including 8 Betaproteobacteria and Gammaproteobacteria, accounting for 30.8% respectively; 2 strains of Alphaproteobacteria, accounting for 7.7%. In addition, three strains belong to Actinobacteria and three of them were Bacteroidetes, which accounted for 11.5%. Moreover, there were 2 strains of Firmicutes (7.7%).
As for Proteobacteria, 8 of them belonged to Gammaproteobacteria subphylum, and all of them were Pseudomonas, which was regarded as the first dominant genera of culturable bacteria from limestone. In the subphylum, LCB43 had 100% similarity to dolomite isolate DCB13, which means that they were the same kind of bacteria. In addition, the similarity between them and P. putida (EU118779) reached 99%. The other 7 strains of bacteria were 100% similar to Pseudomonas sp. (FJ006865), while as for the species of Pseudomonas, it was needed to be further identified. There were 8 strains of Betaproteobacteria, including 4 Marseille bacteria, which were sub-dominant genera of culturable bacteria from limestone. Moreover, 2 Janthinobacterium, a Duganella, and a Methylibium were included. Only 2 strains in Alphaproteobacteria showed 100% homology with Brevundimonas intermedia (JF915342).
Three strains of bacteria in Bacteroidetes group were closely related to Flavobacterium and Sphingobacterium, while 3 strains of bacteria in Actinobacteria group were Arthrobacter sp., Microbacterium sp. and Oerskovia sp. respectively. Besides, the similarity between LCB77 of Firmicutes group and dolomite isolate DCB1 was up to 100%. They were 99% similar with 16S rDNA sequences of B. cereus (EU979024), namely type strain. In addition, an isolate of Firmicutes had close relations with Staphylococcus.
Similarity analysis of 16S rDNA sequences of isolates from limestone rocks
|No. of isolates
|Nearest type strain (accession no.)||Similarity
|LCB65 (JN650582)||1||Arthrobacter sp. (HQ231937)||99|
|LCB38 (JN650577)||1||Microbacterium oxydans (HQ316116)||99|
|LCB39 (JN650578)||1||Oerskovia paurometabola (HM244951)||100|
|LCB34 (JN650574)||1||Flavobacterium sp. (HQ425305)||98|
|LCB37 (JN650576)||1||Flavobacterium sp. (DQ178976)||96|
|LCB40 (JN650579)||1||Sphingobacterium sp. (AM411998)||99|
|LCB77 (JN650587)||1||Bacillus cereus (GU969128)||99|
|LCB44 (JN650581)||1||Staphylococcus sp. (EU855210)||99|
|LCB32 (JN650573)||2||Brevundimonas intermedia (JF915342)||100|
|LCB69 (JN650585)||1||Methylibium sp. (FJ615290)||99|
|LCB66 (JN650583)||1||Duganella zoogloeoides (NR_025833)||99|
|LCB30 (JN650572)||2||Janthinobacterium sp. (FN293043)||99|
|LCB36 (JN650576)||2||Massilia sp. (DQ257420)||99|
|LCB71 (JN650586)||1||Massilia sp. (AB552860)||98|
|LCB67 (JN650584)||1||Massilia sp. (FR865960)||99|
|LCB43 (JN650580)||1||Pseudomonas putida (EU118779)||99|
|LCB28 (JN650571)||7||Pseudomonas sp. (FJ006865)||100|
* The strains were clustered into operational taxonomic units (OTUs) at a level of sequence similarity ≥ 97%
Similarity analysis of ITS sequences of isolates from dolomite and limestone rocks
|No. of isolates
|Nearest type strain (accession no.)||Similarity
|DCF84 (JN650590)||1||Aureobasidium pullulans (JF439462)||100|
|DCF86 (JN650591)||2||Aspergillus niger (EF592173)||100|
|DCF91 (JN650594)||1||Aspergillus oryzae (HQ285588)||100|
|DCF88 (JN650593)||1||Myrothecium verrucaria (GQ131886)||99|
|DCF87 (JN650592)||1||Penicillium crustosum (GQ340556)||100|
|DCF81 (JN650588)||2||Purpureocillium lilacinum (HM439952)||100|
|DCF83 (JN650589)||1||Trichoderma sp. (GQ497170)||100|
|LCF97 (JN650600)||1||Alternaria sp. (HQ833813)||100|
|LCF96 (JN650599)||1||Bipolaris sp. (FJ770073)||98|
|LCF92 (JN650595)||1||Chaetomium sp. (HQ607819)||99|
|LCF93 (JN650596)||1||Chaetomium nigricolor (JF439467)||99|
|LCF99 (JN650602)||1||Cryptococcus albidus (AF444355)||100|
|LCF95 (JN650598)||1||Fusarium oxysporum (EF495237)||99|
|LCF94 (JN650597)||1||Penicillium crustosum (GQ340556)||100|
|LCF98 (JN650601)||1||Trichoderma sp. (GQ497170)||100|
* The strains were clustered into operational taxonomic units (OTUs) at a level of sequence similarity ≥ 97%
Diversity of culturable fungi from dolomite and limestone rocks. ITS sequences for 9 strains of fungi isolates from dolomite and 8 strains of fungi isolates from limestone were compared with the sequence of GenBank database to obtain the most similar sequences. Table III shows the relationships between ITS sequences of fungi isolates from dolomite and limestone and the most similar sequences in GenBank database. The results indicated that 9 isolates from dolomite were classified into 1 phylum, 6 genera and 7 species; while the 8 strains of fungi isolates from limestone were divided into 1 phylum, 7 genera and 8 species. They all had high similarity (98% ~100%) with the reported ITS sequences of GenBank database, including 12 strains with 100% similarity.
A phylogenetic tree was constructed based on the sequences with high similarity between the reference sequences in database and the strains isolated from dolomite and limestone, as shown in Fig. 3. The results manifested that 9 strains of fungal isolates from dolomite and 8 strains from limestone were Ascomycota. Among the fungal isolates from dolomite, 3 of them were Aspergillus, which was the genus with the most isolates. There were 2 strains with 100% similarity to a strain of Aspergillus niger (EF592173), while the other one had 100% similarity with a strain of Aspergillus oryzae (HQ285588). There was also an isolate belonging to Penicillium, which was 100% similar with Penicillium crustosum (GQ340556). Besides, the other four strains were closely associated with Aureobasidium pullulans (JF439462) of Aureobasidium, Myrothecium verrucaria (GQ131886) of Myrothecium, Purpureocillium lilacinum (HM439952) of Paecilomyces and Trichoderma sp. (GQ497170) respectively, and the homology was as high as 99% ~ 100%.
The 8 fungi isolates from limestone belonged to 7 genera of Ascomycota, including Alternaria, Bipolaris, Chaetomium, Cryptococcus, Fusarium, Penicillium and Trichoderma. Except that there were 2 isolates in Chaetomium, the other ones were divided into different genera. From the phylogenetic tree, it can be seen that isolate LCF94 and the fungal isolate from dolomite, namely DCF87 were 100% similar, which suggested that they were the same kind of fungi. In addition, the similarity between them and P. crustosum (GQ340556) of Penicillium was 100%. Moreover, isolate LCF98 and fungal isolate from dolomite DCF83 showed similarity of 100%. It means that they were the same kind of bacteria and both of them were Trichoderma. Therefore, the fungal strains of Penicillium and Trichoderma were isolated from samples of dolomite and limestone. It can be seen that the two types of fungi existed in both kinds of rocks studied in the research.
As a special habitat, carbonate rock provided a great challenge to the organisms living in it owing to the features of rocks, such as arid environment, nutrition deficiency, great temperature fluctuations, etc. However, there were various microorganisms on its surface and in its cracks, which played a crucial role in biogeochemical cycle. Although molecular biological method has been developed during exploring and revealing microbial diversity, it is still necessary to separate and purify microorganisms to understand their ecological functions in biosphere. Thereby, culture-dependent method is still an essential approach to research microbial diversity.
A total of 65 bacterial strains and 17 fungal strains were isolated from dolomite and limestone by using pure culture method. The 39 isolated bacterial strains from dolomite samples were divided into 4 phyla, 15 genera and 26 species; while the 26 bacterial strains of limestone were classified into 4 phyla, 13 genera and 17 species. The main phyla of the isolated bacteria from both kinds of rocks were consistent, but there were some differences in species. In addition, the diversity of bacteria was much higher than that of fungi. For these two kinds of rocks, Proteobacteria was the first dominant group, and Gammaproteobacteria occupied the greatest proportion. Besides, it was closely related to Pseudomonas in phylogeny to be the most dominant genera after isolation. Pseudomonas is a genus composed of ubiquitous metabolically versatile Gram-negative bacteria, capable to grow in a variety of environmental conditions (Belgini et al., 2014). Some researchers found that Pseudomonas also existed in the soil of Antarctic area even in deep sea and it was connected with polycyclic aromatic hydrocarbons (PAHs). Moreover, some Pseudomonas even was directly involved in degradation (Ma et al., 2006; Cui et al., 2008). A lot of pseudomonads bacteria were found in the dolomite and limestone rock endolithic environments, but their roles in rock environment were still unclear. The proportion of Actinobacteria in two kinds of rocks was greater. Meanwhile, the group is widespread in soil. An explanation for the high fraction of Actinobacteria in Guizhou karst region could be due to their strong cell wall, the capability of forming spores, and their high GC-content. These characteristics would allow their survival in harsh environments. Many bacteria belonging to Bacillus were isolated from the rock environment. Owing to the kind of bacteria forming the spores, which had powerful resistance to poor environment, they could survive in rock environment. Our results confirmed that members of the Proteobacteria, Actinobacteria and Bacillus are ecologically significant constituents of carbonate rocks. However, future work is needed to determine the functions of these important groups in karst environments.
There were only 9 and 8 strains of fungi isolated from dolomite and limestone respectively, which all belonged to Ascomycota. Besides, they were common fungi in environment which suggested that the culturable fungi resources were very limited on the two kinds of rocks. In view of numerous slow growing fungi colonize carbonate rocks, the cultivating time of fungi in the study might be short. With longer periods of time, it is possible that a more realistic and abundant fungal diversity would have been registered. Nevertheless, the roles of these fungi in rock environment have not been reported so far. Hence, it is necessary to study the functions of these microorganisms in karst rock environment, especially the roles in the process of weathering and pedogenesis of rocks by further utilizing these microbial resources.
Combining the research results and our previous report about the endolithic microbial diversity in the carbonate rocks in karst area of Guizhou by using culture-independent method (Tang and Lian, 2012; Tang et al., 2012), it was indicated that the microbial diversity of carbonate rocks was abundant. There were autotrophic microorganisms, such as Cyanobacteria with nitrogen fixation and photosynthesis, anoxygenic phototrophic green non-sulfur bacteria, as well as heterotrophic microorganisms, for instance, Proteobacteria, Acidobacteria, Bacteroides, Firmicutes and heterotrophic fungi as well as Archaea. The autotrophic microorganisms could be the main primary producer in rock environment to provide nutrients for heterotrophic microorganism by fixing the carbon and nitrogen in the air. However, it was not enough for the numerous heterotrophic groups in rock environment merely depending on the nutrient substances supplied by autotrophic microorganisms (Lian et al., 2010). Owing to it tended to be more serious for heterotrophic microorganisms in rock environment, they survived by intercepting the few soil particles and nutrients in air and water except for being symbiotic with autotrophic microorganisms ( Sterflinger, 2000; Viles and Gorbushina, 2003; Gorbushina, 2007; Lian et al., 2010; 2011). The rock microorganisms were in a relation of mutual cooperation and symbiosis (Lian et al., 2010). The main purpose of cooperation between different microorganism groups was to retain water and gain limited trace nutrients to sustain life activity and population continuity (Sterflinger, 2000; Gorbushina et al., 2003; Lian et al., 2011). Once the environmental conditions, such as temperature and humidity fitted for growth, they would quickly breed, spread and accelerate the weathering of minerals (Chen et al., 2014). The rock microorganisms in karst area played an irreplaceable role in the long geological evolution process of weathering and pedogenesis of carbonate rocks. Therefore, the future study is expected to further investigate the microbial community in the carbonate rock environments and deeply recognize it in special habitat so as to profoundly research its biogeochemistry function, such as the weathering and pedogenesis of carbonate rocks by using these microbial resources.
This research was jointly supported by the Natural Science Foundation of Guizhou Province of China (No. J  2168), the National Natural Science Foundation of China (No. 41503080; 41173091; 41373078), the National Key Basic Research Program of China (No. 2013CB956700), the Key Agriculture R&D Program of Guizhou Province (No. NY3001-1; NY3019), and the Provincial Science and Technology Major Project of the Ministry of Science and Technology of Guizhou Province (No.  6015-2-1).
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