- Open Access
Metagenomic profiles of free-living archaea, bacteria and small eukaryotes in coastal areas of Sichang island, Thailand
© Somboonna et al.; licensee BioMed Central Ltd. 2012
- Published: 13 December 2012
Tha Wang and Tham Phang coasts, though situated at similar oceanographic positions on Sichang island, Chonburi province, Thailand, are different in bay geography and amount of municipal disturbances. These affect the marine ecosystems. The study used metagenomics combined with 16S and 18S rDNA pyrosequencing to identify types and distributions of archaea, bacteria, fungi and small eukaryotes of sizes ranges 0.45 and ~30 μm.
Following the open bay geography and minimal municipal sewages, Tham Phang coast showed the cleaner water properties, described by color, salinity, pH, conductivity and percent dissolved oxygen. The 16S and 18S rDNA metagenomic profiles for Tha Wang and Tham Phang coasts revealed many differences, highlighting by low Lennon and Yue & Clayton theta similarity indices (66.03-73.03% for 16S rDNA profiles, 2.85-25.38% for 18S rDNA profiles). For 16S rDNA, the percent compositions of species belonging to Proteobacteria, Bacteroidetes, Cyanobacteria, Firmicutes, Verrucomicrobia, Gammatimonadetes, Tenericutes, Acidobacteria, Spirochaetes, Chlamydiae, Euryarchaeota, Nitrospirae, Planctomycetes, Thermotogae and Aquificae were higher or distinctly present in Tha Wang. In Tham Phang, except Actinobacteria, the fewer number of prokaryotic species existed. For 18S rDNA, fungi represented 74.745% of the species in Tha Wang, whereas only 6.728% in Tham Phang. Basidiomycota (71.157%) and Ascomycota (3.060%) were the major phyla in Tha Wang. Indeed, Tha Wang-to-Tham Phang percent composition ratios for fungi Basidiomycota and Chytridiomycota were 1264.701 and 25.422, respectively. In Tham Phang, Brachiopoda (lamp shells) and Mollusca (snails) accounted for 80.380% of the 18S rDNA species detected, and their proportions were approximately tenfold greater than those in Tha Wang. Overall, coastal Tham Phang comprised abundant animal species.
Tha Wang contained numerous archaea, bacteria and fungi, many of which could synthesize useful biotechnology gas and enzymes that could also function in high-saline and high-temperature conditions. Tham Phang contained less abundant archaea, bacteria and fungi, and the majority of the extracted metagenomes belonged to animal kingdom. Many microorganisms in Tham Phang were essential for nutrient-recycling and pharmaceuticals, for instances, Streptomyces, Pennicilium and Saccharomyces. Together, the study provided metagenomic profiles of free-living prokaryotes and eukaryotes in coastal areas of Sichang island.
- Prokaryotic Community
- Global Ocean Sampling
- Principle Coordinate Analysis
- Small Eukaryote
Thailand situates around an equator, between 23.5 degree north and 23.5 degree south, causing the climate to be hot and rainy, which enhances the biodiversity of microorganisms. In addition to factors by sunlight, wind and tidal ranges, coastal niche represents areas where human disturbances are most situated, and is where land and sea meet with high influences by the bay characteristics. All these factors could affect types and distribution patterns of aquatic microorganisms and organisms [1–4]. Indeed, previous studies reported different proportions of organisms between Tha Wang and Tham Phang coasts of Sichang island, Thailand, and suggested the differences involved their differences in coastal quality (S. Piyatiratitivorakul and S. Rungsupa, personal communications). Nevertheless, no culture-independent study for inclusive databases on free-living microorganisms had been conducted in Tha Wang and Tham Phang coasts of Sichang.
Presently, < 1% of microbiota has been discovered, primarily owning to the limited cultivation ability and limited NCBI databases [6, 7]. Culture-independent approach was first proposed by Norman R. Pace and colleagues . Global ocean sampling exploration (GOS) was launched in 2003 by Craig Venter to gain understanding of prokaryotic genomes and diversity for whole marine environments, including coastal water, open ocean, seafloor and seawater at different depths, starting from Sargasso Sea to West Coasts and open oceans of the United States, Baltic, Mediterranean, and Black Seas, for examples [1, 3, 4, 8, 9]. Indeed, ocean accounts for approximately 360,000,000 m2 (~71%) of the earth surface, and serves as the largest bioproductive resources. Consequently, tremendously new species of bacteria have been discovered, and much information on microbial biodiversity in marine ecosystems has been unveiled by metagenomics.
This study used metagenomics combined with 16S and 18S ribosomal DNA sequencing, and represented the first to identify the biodiversity of free-living archaea, bacteria and small eukaryotes in coastal areas of Sichang island. Each sample site comprised three independent seafloor and seawater sample collections as guided by SMaRT scientists to most represent the overall sampling collections of each coastal area; besides, these two coastal areas are not that vast. Different prokaryotic and eukaryotic species and their species distributions in Tha Wang and Tham Phang coastal water were analyzed in associated with their differential characteristics in the bay geographies and manmade activities. Our prokaryotic databases were also compared against various GOS databases to better understand the ecosystem of Sichang coasts, and obtain the comprehensive picture of the entire marine ecosystems. Hopefully, our study helps enhance knowledge on the global marine ecosystems, supporting the GOS exploration.
Different coastal characteristics of Sichang island
Additional File 1 described general water properties of Tha Wang and Tham Phang. The water temperatures were roughly equal as the two sites are only 0.010° latitude and 0.012° longitude apart. The minor increase in water temperature of 0.7°C in Tham Phang was likely because of an atmosphere temperature that arose in the afternoon as the Tham Phang water sampling was conducted after the Tha Wang water sampling. Supportively, the monthly temperature for Tha Wang and Tham Phang coastal waters in February, 2010, as measured by Sichang Marine Science Research and Training Station (SMaRT; Chulalongkorn University, Thailand) were both 30°C. Average yearly temperature of Tha Wang and Tham Phang coasts for the year 2010 were 29.55 and 29.48°C (S. Rungsupa, personal communication and unpublished data).
However, compared with Tham Phang, Tha Wang coast had more opaque water color, less salinity and pH, and high conductivity (Additional File 1). These differences, together with the facts that Tha Wang coast possess burdens by the relatively close bay geography and the growing residents and industries, suggested the differences in the microbial biodiversity was possible.
Metagenomic DNA isolation of Tha Wang and Tham Phang coasts
Particles and organisms of larger than ~30 micron in diameter size were prohibited by the primary filtration using 4-layer sterile cheesecloth. The 4-layer cheesecloth was measured the gap size to be 30 μm in average (unpublished data). By passing the primary-filtrated water through a 0.45-micron sterile filter paper, the microorganisms of sizes ranges 0.45 to 30 μm were collected and their total genomes were isolated. Triplicate water sampling and independently triplicate metagenomic DNA extraction experiments were performed per site; the metagenomic DNA concentrations for Tha Wang and Tham Phang were 0.50 and 0.40 ng/ml of seawater, respectively (Additional file 2).
Prokaryotic diversity of Tha Wang and Tham Phang coasts
Libraries of Tha Wang and Tham Phang-tagged 16S rDNA sequences were successfully constructed and sequenced. Of 29,739 reads, 3,541 reads (11.91%) were initially removed from an analysis as they were < 100 bases in length, leaving 17,404 reads for Tha Wang and 8,794 reads for Tham Phang. All the reads have base length within accepted read lengths by the 454 GS/FLX sequencer, and the median read length was 404 bases. With default thresholds by VITCOMIC (E-value ≤ 1E-08, similarity ≥ 80%, alignment length ≥ 50 bp) , 17,381 reads for Tha Wang and 8,763 reads for Tham Phang had sequence homologies to nucleotide sequences in NCBI non-redundant database [10, 11]. Additional 6 reads for Tha Wang (Proteobacteria 6 reads, Actinobacteria 2 reads, Chloroflexi 1 read) and none for Tham Phang were identified using 1E-08 < E-value ≤ 1E-02. 17 reads for Tha Wang (0.098%) and 31 reads for Tham Phang (0.353%) remained unidentified 16S rDNA reads due to non-significant E-values.
Eukaryotic diversity of Tha Wang and Tham Phang coasts
Libraries of Tha Wang and Tham Phang-tagged 18S rDNA sequences were successfully constructed and sequenced. Of 109,024 reads, 6,698 reads (6.14%) were removed as they were < 100 bases in length, leaving 102,326 reads (Tha Wang 5,858 reads, Tham Phang 96,468 reads) for the analysis. All the reads have base length within accepted read lengths by the 454 GS/FLX sequencer, and the median read length was 465 bases. All the sequences were compared with NCBI non-redundant , EMBL [14, 15] and SILVA  databases using BLASTN . With default VITCOMIC parameters, 2,831 reads of Tha Wang and 95,961 reads of Tham Phang had homologous 18S rDNA sequences. Additional 12 and 15 reads for Tha Wang (Apicomplexa 1 read, Streptophyta 1 read, Dinophyta 9 reads, Porifera 1 read) and Tham Phang (Platyhelminthes 3 reads, Rotifera 1 read, Arthropoda 4 reads, Porifera 6 reads, Chlorophyta 1 read) were identified when the E-value was adjusted to 1E-08 < E-value ≤ 1E-02. The number of unidentified 18S rDNA reads, representing novel species, due to non-significant E-values by BLASTN, remained high for Tha Wang (3,015 reads, accounting for 51.468% of 5,858 reads) but Tham Phang (492 reads, 0.051% of 96,468 reads). These unidentified reads were excluded from the analysis.
In contrast, animal kingdom (91.073%), mainly phyla Brachiopoda (lamp shells) and Mollusca (snails), served the major free-living, 18S rDNA organisms detected in Tham Phang coastal water. Kingdoms of fungi (6.728%), plants (1.310%) and protists (0.890%) were present in < 10% of the identified 18S rDNA reads in Tham Phang (Figure 5). For fungi, Tham Phang coast contained proportionally more Ascomycota and Glomeromycota than Basidiomycota. Phyla belonging to other kingdoms whose percent compositions were greater than those in Tha Wang included: (i) Chlorophyta, Xanthophyceae, and Stramenopiles from the kingdom of plants; and (ii) Porifera, Cnidaria, Arthropoda, Chordata, Echinodermata, Brachiopoda, Platyhelminthes, Mollusca, Gastrotricha and Priapulida from the kingdom of animals (Figure 5). Specifically, Platyhelminthes and Mollusca held over 10% proportional abundant in Tham Phang than Tha Wang, with the Tham Phang-to-Tha Wang percent composition ratios of 16.391 and 13.610. Moreover, some phyla were only detected in Tham Phang, and they were: Phaeophyceae, Ochrophyta, Pinguiophyceae, Eustigmatophyceae, Labyrinthista, Sarcomastigophora, Neocallimastigomycota, Zygomycota, Euglenida, Hemichordata, Chaetognatha, Rhombozoa, Sipuncula, Acanthocephala and Nematomorpha (Figures 4 and 5). Examples of free-living, eukaryotic species found restricted to Tham Phang coast were Prosopanche americana, Rafflesia keithii, Acaulospora brasiliensis, Lingula anatine, Glycymeris pedunculata, Pseudoscourfieldia marina, Hyalosira delicatula, Caloneis amphisbaena, Pinnularia acrosphaeria, Luticola goeppertiana, Leptocylindrus minimum, Chromonas cf., Lipomyces lipofer, Barnettozyma vustinii, Pichia salicaria, Wickernamiella domercqiae, Dipodascus magnusii, Pichia pastoris, Abies homolepis, Zschokkella hildae, Paraphanostoma crassum, Actinoposthia beklemischevi, Sphaerospora truttae, Myxobilatus gasterostei, Neoactinomyxum eiseniellae, Sterreria psammicola, Selaginopsis cornigera, Oikopleura labradoriensis, Tesserocerus dewalquei, Clavispora lusitaniae, Hyotissa numisma, Priapulus caudatus, Acantholeberis curvirostris, Eurycercus lamellatus, Ceriodaphnia megops, Malorerus randoi, Paramesopodopsis rufa, Ventsia tricarinata, Loxothylaeus texanus, Distaplia dubia, Branchiostoma floridae, Capitella sp., Melibe leonine, Sagitta crassa, Acanthocardia tuberculata, Ancylocoelium typicum, Scutellospora heterogama, Pteria macroptera, Peridinium balticum, Eubothrium crassum, Archotoplana holotricha, Phagocata sibirica, Paromalostomum fusculum, Chaetonotus neptuni, Bunonema franzi, Laxus cosmopolitus and Paracyatholaimus intermedius (Additional file 3: F).
Analyses of free-living prokaryotic compositions representing coastal Tha Wang and Tham Phang compared with 67 GOS profiles
Population of free-living archaea and bacteria in Tha Wang and Tham Phang coasts were compared with the 16S rDNA metagenomic profiles from 67 GOS sites. Similarity between pairs of community structures were determined by Yue & Clayton theta similarity coefficients (Thetayc) and Smith theta similarity coefficient (Thetan), using mothur [17, 18]. The prokaryotic community structures between coastal Tha Wang and Tham Phang were found most closely related to each other (Thetayc 0.38756, Thetan 0.56919), and were somewhat distant from those of the GOS communities as described by the Thetayc and Thetan values that are close to 1.000 (Additional File 4). Identical community structures have zero Thetayc and Thetan value.
Tha Wang and Tham Phang coasts were hypothesized to embrace dissimilar microbial species distribution and ecosystems, given that Tha Wang represented the more inhospitable coastal niche than Tham Phang, and despite both coasts locate in similar oceanographic positions. The hypothesis was consistent with previous reports by SMaRT that found overgrowth of phytoplanktons, zooplanktons and crabs in coastal Tha Wang (S. Rungsupa, personal communication). Along with its close bay geography, the massive increase of wastes through extensive numbers of islanders and industrialization were highly responsible for the poor quality of Tha Wang bay and coast.
This study represented the first study that identified microbial biodiversity of coastal Sichang island using metagenomics, and, in consistent with the hypothesis, the study discovered different physical and chemical water properties (Additional File 1) and microbial metagenomic profiles (Figures 2 and 4) between Tha Wang and Tham Phang coasts. The clearer water, the lower conductivity and the slightly higher salinity and pH in coastal Tham Phang were appropriate for aquatic lives, and supported the diversity in marine environments and microbial communities in Tha Wang and Tham Phang coasts. The finding of the greater salinity in Tham Phang coast was coherent with the monthly salinity reports by SMaRT  (S. Rungsupa, personal communication). Additionally, Tham Phang coast had the greater percent dissolved oxygen and the lower contents for all kinds of wastes, including organic mass, glass bottles, plastics, metals, hazardous materials, ammonium, nitrite, and phosphate than Tha Wang coast  (S. Rungsupa, personal communication and unpublished data). These signified the importance for analysing the microbial diversity in Tha Wang and Tham Phang coasts, and, particularly, for investigating the effects of the relatively close bay geography and intensive manmade activities on the microbial species and species distributions in coastal Tha Wang. As Tha Wang symbolizes one central pier for Thailand's cargo route with populated residents and varied sorts of industries, yet Tham Phang remains a quiet natural beach for tourists, this further emphasized the importance of better understanding the coastal microbial ecosystems around Sichang island.
Free-living microorganisms of 0.45-30 micron in diameter size in approximate were trapped onto the filter papers, and their metagenomes were extracted. The total nucleic acid concentration of microorganisms of the two areas was averagely 0.45 ng/ml of seawater. The slightly greater metagenomic DNA concentration of free-living microorganisms in Tha Wang than Tham Phang indicated the total more amount of free-living microbiomes in Tha Wang coast (Additional file 2).
For free-living 16S rDNA species analyses, nearly 100% of the reliable read lengths (Tha Wang 99.902%, Tham Phang 99.647%) could be successfully annotated. While Proteobacteria, a major-reported bacterial phylum in global seafloor and seawater [2, 4], was unsurprisingly dominated in Tha Wang and Tham Phang coasts, more diversified and abundant archaea and bacteria, including pathogenic and harsh environment-dwelling species, were revealed in Tha Wang coast (Figure 2 and Additional files 3: A-C). Many species were even found uniquely or significantly predominated in Tha Wang coast, most of which could be related to its differentially ongoing activities that polluted the marine environment and stimulated outgrowing of prokaryotic communities. For instances, Bacteroidetes are abundant bacteria in animal and human feces, and were likely carried to Tha Wang coastal water via municipal wastewater. Bacteroidetes are opportunistic pathogens to humans . Cyanobacteria, also known as blue-green bacteria or algae, though are oxygen-producers and account for 20-30% of the Earth's protosynthetic productivity , could produce harmful cyanotoxins under constraint circumstances generally as a result of human-polluted activities . Microcystis aeruginosa is one example. Cyanotoxins, such as neurotoxins and endotoxins, are toxic to various aquatic lives and humans consuming these contaminated water or seafood [23, 24]. Firmicutes constitute a large portion of mouse and human gut microbiome, and some, such as Clostridium and Bacillus, could cause human intestinal disease [25, 26]. Firmicutes could produce endospores under a hostile environment  like Tha Wang. Verrucomicrobia and Gammatimonadetes are new phyla that are under-represented by culture, but are believed to be common in nature, especially in soils . Ternicutes refer to bacteria with no cell wall, such as Mycoplasma and Ureaplasma, that could cause human respiratory and urogenital tract diseases . Acidobacter are another new phylum believed to be widespread in nature, although a few had only been isolated due to the limitation of traditional cultivation methods. The first species of Acidobacter was isolated in 1991 [29–32]. Chlamydiae are obligate intracellular bacterial pathogens that often reside asymptomatically in a variety of hosts. Chlamydiae cause severe diseases in restricted hosts, particularly humans . Indeed, Chlamydia trachomatis is responsible for the main bacterial cause of human's preventable blindness and sexually transmitted disease worldwide [34, 35]. Euryarchaeota are methane-producing archaea that survive in high-salt and high-temperature conditions.
Thus, many 16S rDNA species around Sichang island comprised archaea, which are often thermophiles, and thermophilic bacteria that could survive up to 122°C. The thermophilic bacteria were among the earliest bacteria, and include Firmicutes, Thermotogae, Aquificae, Actinobacteria, Deinococcus-Thermus and Chloroflexi . Numerous archaea and thermophilic bacteria in coastal Tha Wang might be associated with tremendouse sewage drainage in Tha Wang area. Examples of species that could inhabit harsh environments and were distinctly found in Tha Wang included: sulfate-reducing Thermodesulfovibrio yellowstonii, originally isolated anaerobically from hot vent water in Yellowstone Lake, Wyoming, USA ; sulfur-reducing Petrotoga mobilis, obligate anaerobe that tolerates salty and high temperature and was first isolated from a North Sea oil-production well ; Halothermothrix orenii, a halophilic, thermophilic, fermentative, obligate anaerobe that could synthesize thermohalophilic enzyme and hydrogen for biotechnology ; Aquifex aeolicus, commonly found near hot springs and underwater volcanoes ; archaea Methanopyrus kandleri, originally discovered from the Gulf of California, USA, at a depth of 2000 metres ; and Thermotoga neapolitana and Thermotoga petrophila [39, 41]. Firmicutes Halothermothrix orenii and all members of Thermotogae could also produce hydrogen from organic wastes, and some species such as Thermotoga neapolitana and Halothermothrix orenii could accumulate a considerate hydrogen quantity than the others [36, 41]. In addition, Euryarchaeota Methanopyrus kandleri, Methanococcus aeolicus, Methanoculleus marisnigri, Methanocorpusculum labreanum and Methanothermobacter thermautotrophicus are natural carbon recycler and could produce methane from hydrogen and carbon dioxide. These archaea and bacteria are commonly detected in wastewater, sewage sludge and landfills [42, 43]. Since the market demand for methane and hydrogen gases has increased yearly, using methanogenic- and hydrogenic-producing archaea and bacteria as biofuel producers represent one effective economical and environmental-sustainable venue .
Whereas serving as a credible resource for biofuel, Tha Wang coast also comprised many prokaryotes that could potentially cause diseases not only to humans but also to plants and other prokaryotic species in the ecosystems. For instances, Herpetosiphon aurantiacus in phylum Chloroflexi, which was firstly isolated from slime coat of algae from Birch Lake, Minnesota, USA , could secrete hydrolytic enzymes that are harmful to gram-positive and gram-negative bacteria . Aster yellows was reported a leading cause of plant pathogen in both agricultural and nursery industries .
For Tham Phang, prokaryotic species advanced for biological decomposition and pharmaceutical production seemed to be more found. The relative proportion of Actinobacteria was almost 2-fold predominated in Tham Phang (41.036%) than Tha Wang (23.552%) (Figure 3). Actinobacteria are common phylum of bacteria in soil and marine environments, and have a vital role in decomposition of organic materials, such as cellulose and chitin, and of other essential nutrients . Actinobacteria, such as Streptomyces, are also well-known for secondary metabolite producers and significant sources for pharmaceutical usage, albeit some, such as Mycobacterium and Corynebacterium, are human pathogens . Interestingly, Deinococcus-Thermus, which relative proportion was also greater in Tham Phang than Tha Wang, are extremely resistant to heat, cold, anaerobic condition, and radiation materials, and they could digest nuclear and many other toxic wastes [36, 49]. This phylum might further help recuperate Tham Phang coast.
The similarities and differences in 16S rDNA species diversity and species richness between Tha Wang and Tham Phang were summarized by Lennon's and Yue & Clayton theta indices of similarity (Figure 2). The lower than 74% of the similarity indices inferred a greater than 25% of difference in their prokaryotic species compositions, and supported the preliminary knowledge on Sichang geography and the results on water characteristics and 16S rDNA pyrosequencing. Moreover, comparing the 16S rDNA metagenomic profiles highlighted the greater proportions for high-temperature and energy-producing prokaryotes in Tha Wang, and for nutrient-recycling and drug-synthesizing prokaryotes in Tham Phang.
For free-living 18S rDNA species analyses, while most of the 18S rDNA reads (99.949%) could be identified with significant BLASTN E-values, approximately half of Tha Wang reads (48.532%) were identified. This suggested a large portion of distantly-related or undiscovered species in Tha Wang coast, and the research team is developing innovative bioinformatic approach to analyze these unidentified reads.
Among the identified 18S rDNA reads, Tha Wang and Tham Phang coasts shared few similarities in free-living eukaryotic compositions (Figure 4 and Additional file 3: D-F) as represented by the low Lennon and Yue & Clayton theta similarity indices. In Tha Wang, almost 75% of the identified species were fungi (Basidiomycota 71.157%, Ascomycota 3.060%, Glomeromycota 0.317%, Chytridiomycota 0.211%), and the rests comprised kingdoms of animals, protists and plants (mostly unicellular algae), in orderly (Figure 5). On the opposite, only 6.728% of the 18S rDNA reads in Tham Phang were fungi and with the different fungal compositions than those of Tha Wang. Basidiomycota and Chytridiomycota were minutely present in Tham Phang, while Ascomycota were more present. Species in animal kingdom (91.073%) were the major 18S rDNA population, and the least dominated species remained in the kingdoms of plants (1.310%) and protists (0.089%), most of which were unicellular and have chloroplasts (Figures 4 and 5). Overall, abundant population of fungi were present in Tha Wang, whereas small eukaryotes in animal kingdom were more common in Tham Phang. These differences likely reflected the differences in ecosystems between Tha Wang and Tham Phang coasts. The immense proportion of animals supported the physical and chemical characteristics of Tham Phang bay and water that was more appropriate for aquatic lives, stressing the fruitfulness of aquatic lives in Tham Phang compared with Tha Wang. Brachiopoda and Mollusca were the common species reported in Sichang island (S. Piyatiratitivorakul and S. Rungsupa, personal communications), and the frequent finding of the DNAs corresponding to these two phyla in Tham Phang was possible, as the eggs and larvae of these early developmental phase could have sizes smaller than 30 μm and thus could pass through the first filtration step. Larvae of Brachiopoda were distasteful for fish and crustaceans, and could stay in water for months; yet, they are vulnerable to pollution and were used as a measure of environmental conditions in an oil terminal in Russia and in Japan . Mollusca are accounted for the largest marine phylum, and served as food and pearls for humans, so the number has been declining globally . Moreover, some animals could be microscopic in sizes, such as species in Gastrotricha and Arthropoda. Meanwhile, marine fungi generally inhabited driftwood and are rare as free-living, so the high proportion of fungi in Tha Wang might be associated with the released wastes from residents and industries [52, 53]. Other protists, previously considered lower fungi, were also denoted in Tha Wang, such as Mycetozoa.
The metagenomic analyses for 18S rDNA profiles in Tha Wang and Tham Phang were consistent with the analyses for the 16S rDNA profiles in that a large proportion of harsh-dwellers, including biofuel producers, were in Tha Wang, while a large proportion of decomposers and drug-producers were in Tham Phang. For examples, Ascomycota are important decomposers and medical producers [54–56], and the proportion of this phylum was found two-times in Tham Phang (Figure 5). Genera in Asocimycota are such as Pennicilium, Tolypocladium and Saccharomyces.
Moreover, the 16S rDNA metagenomic profiles inhabiting Tha Wang and Tham Phang coasts were compared to those of 67 GOS sites. High Thetayc and Thetan coefficients (Additional File 9) and no overlay of principle coordinate analysis (Figure 6) indicated unique prokaryotic ecosystems in coastal Tha Wang and Tham Phang, and emphasized the significant contribution of our 16S rDNA and 18S rDNA metagenomic profiles in fulfilling the knowledge on global marine ecosystems. The prokaryotic community structures of GS022, GS021, GS015 and GS028 were more closely to those of Tha Wang and Tham Phang coasts based on Thetayc and Thetan coefficients (Additional File 9). Principle coordinate analysis (Figure 6) and phylogenetic clustering (Figure 7) confirmed the GS022 prokaryotic community to be closest to the Tha Wang and Tham Phang prokaryotic communities (Figure 7). Some variations in phylogenetic clustering and PcoA were results of the differences in algorithms used for the PcoA and neighbour-joining tree construction. GS022 represents the prokaryotic communities inhabiting surface water in the Pacific Ocean 250 miles from Panama City, Panama, where the climate was tropical and the ecosystem was largely diverse like Thailand. Panama has tropical rain forest and temperature of 18.4-34.2°C in February (average 26.3°C). Besides, the economy of the Panama City partly depends on trading and shipping industries like Tha Wang coast, causing its marine environment to be somehow more similar to that of Tha Wang than Tham Phang (Figures 8 and 9). The Lennon and Yue & Clayton theta similarity indices between Tha Wang and GS022 were greater than those between Tham Phang and GS022. Yet, some species distinct to GS022, including human pathogens and water-quality indicators, could be associated with particular activities dominated around the Panama City. Meanwhile, uniquely found species in Tha Wang were such as Thermodesulfovibrio yellowstonii in phylum Nitrospirae. Although residual amount of sulphate is typical in seawater, sediment, and water rich in decaying organic material, agricultures and shipping industries could produce an excess of sulfate, leading to the presence of this microorganism in addition to other sulfate-reducing species possible. Thermodesulfovibrio yellowstonii could help other sulfate-reducing species in coastal Tha Wang to reduce sulfate to hydrogen sulfide and to degrade organic materials by oxidizing organic compounds or molecular hydrogen to obtain energy [36, 37]. Examples of other species unique in coastal Tha Wang were Kosmotoga olearia in Thermotogae and Rhodopirellula baltica in Planctomycetes. Kosmotoga olearia was also present in Troll B oil platform in the North Sea, and Rhodopirellula baltica was also present in marine brackish Baltic sea (https://portal.camera.calit2.net/gridsphere/gridsphere). These species could also degrade complex carbohydrates in industrial wastewater, and members in Thermotogae could inhabit extreme environments, such as municipal wastewater treatment, oil production water and low-temperature bioreactors, supporting the feasibility of detecting these species in Tha Wang [36, 57, 58].
However, to better understand the Sichang marine ecosystems, similar analyses might be conducted at different time of the year, for example, in a different season, and at different time of the day. Once the data on 18S rDNA profiles by the GOS become available, the understanding of similarities and differences among the eukaryotic communities in coastal Tha Wang and Tham Phang against the GOS is also essential. In particular, comparative analyses of free-living fungal biodiversity help elucidate marine microbial communities, and yet many free-living fungi are obligate parasites to humans and marine organisms. Currently, we are working on identifying the biodiversity of archaea, bacteria and small eukaryotes at other significant marine and soil sites of Thailand. Such information will provide a complete database for microbiome profiles and enhance the understanding of local and global, marine and soil ecosystems.
Finally, finding of tremendously diverse species, including identified and unidentified species, showed the advantages of metagenomics in obtaining conclusive archaea, bacteria and small eukaryotic databases, helping to define the marine ecosystems. This study identified free-living prokaryotic and eukaryotic species diversity and differences in their compositions in Tha Wang and Tham Phang coasts. The study helped better understanding and better management of the marine microbial ecosystems around Sichang island, and the comparative data analyses share valuable knowledge for GOS databases. The results also suggested Tha Wang coast as potential one resource for discovery and isolation of biotechnology and industrial enzymes, and Tham Phang coast for discovery and isolation of pharmaceutical compounds. Nevertheless, all identified species in the present study merely represented the significant BLASTN hits to the identified 16S and 18S rDNA species. Hence, each annotation could mean the exact species match or the phylogenetically related species, depending on the E-values and the percent alignment coverage between the hit and the target sequences.
Metagenomics allowed the culture-independent identification of 16S and 18S rDNA profiles of microorganisms residing in Tha Wang and Tham Phang coasts of Sichang island. Many similarities and differences in biodiversity and species distributions in both coasts were detected, and might be associated with the different bay geography and water conditions posed by Tha Wang and Tham Phang coasts. These metagenomic profiles helped better understanding of marine microbial ecosystems around Sichang island, and contributed supportive databases towards the world ocean metagenomic databases. Analysing the data together with the 67 GOS databases allowed the better interpretation of the global marine ecosystems.
Coastal water sample collection
Seafloor and seawater of Tha Wang and Tham Phang coasts (Figure 1) were collected into separated sterile glass containers on 19 February 2011, around 12:00-13:00 hrs. For each site, water color was noted, and on-site measurements for temperature, pH, salinity and conductivity were performed. The two coastal areas are not vast, and three independently replicate seafloor and seawater samples per site, as well as the positions for each water sample collection were as guided by the SMaRT scientists for the most representative sample collections of each coastal area. Note the samples belonging to the same sample site were pooled for pyrosequencing. All samples were transported on ice, stored in 4°C and were processed for the next steps within 14 days.
Metagenomic DNA extraction and DNA quality examination
Each water sample was poured through four-layered sterile cheesecloth to remove debris and large-size organisms. Then, free-living prokaryotes and eukaryotes whose sizes were larger than 0.45 μm were collected using a sterile 0.45-micron filter (Merck Millipore, Massachusetts, USA). Total nucleic acids were isolated using Metagenomic DNA Isolation Kit for Water (Epicentre, Wisconsin, USA), following the manufacturer's instructions. The isolated metagenomic DNA should be randomly sheared and appear around 40 kb in size . The extracted metagenomes were analyzed for DNA quality and concentration by agarose gel electrophoresis and A260/A280 nanodrop spectrophotometry.
PCR generation of pyrotagged 16S and 18S rDNA sequences
For broad-range PCR amplification of prokaryotic 16S rDNAs, universal prokaryotic 338F (forward) and 803R (reverse) primers were used to amplify a 466-nucleotide sequence covering V3 and V4 regions of the 16S rRNA gene (Escherichia coli strain MYL-4, GenBank Accession no. HQ738475) [60–62]. The forward and reverse pyrotagged-16S rDNA primers for Tha Wang were 5'-TCTCTGTG ACTCCTACGGGAGGCAGCAG-3' and 5'-TCTCTGTG CTACCAGGGTATCTAATC-3', where italic sequences represent the tag sequences. The forward and reverse pyrotagged-16S rDNA primers for Tham Phang were 5'-TCTACTCG ACTCCTACGGGAGGCAGCAG-3' and 5'-TCTACTCG CTACCAGGGTATCTAATC-3' . For broad-range PCR amplification of eukaryotic 18S rDNAs, universal eukaryotic 1A (forward) and 516R (reverse) primers were used to amplify a 560-nucleotide sequence at the 5'-end of the 18S rRNA gene (Candida sp. Y15 EG-2010, GenBank Accession no. HM161753) [64–66]. The forward and reverse pyrotagged-18S rDNA primers for Tha Wang were 5'-AGAGTATG CTGGTTGATCCTGCCAGT-3' and 5'-AGAGTATG ACCAGACTTGCCCTCC-3', where italic sequences represent the tag sequences. The forward and reverse pyrotagged-18S rDNA primers for Tham Phang were 5'-ATGACTCG CTGGTTGATCCTGCCAGT-3' and 5'-ATGACTCG ACCAGACTTGCCCTCC-3' . For each sample, a 50-μl PCR reaction comprised 1× EmeraldAmp® GT PCR Master Mix (TaKaRa, Shiga, Japan), 0.3 μM of each primer, and 100 ng of the metagenomic DNA. The PCR conditions were 95°C for 4 min, and 30-35 cycles of 94°C for 45 s, 50°C for 55 s and 72°C for 1 min 30 s, followed by 72°C for 10 min.
Gel purification and pyrosequencing of pre-tagged 16S and 18S rDNA fragments
PCR products of about 466 (16S rDNA) and 560 (18S rDNA) nucleotides in length were excised from agarose gels, and were purified using PureLink® Quick Gel Extraction Kit (Invitrogen, New York, USA). 400 ng each of pyrotagged Tha Wang and Tham Phang 16S rDNAs and 100 ng each of pyrotagged Tha Wang and Tham Phang 18S rDNAs were pooled and used for pyrosequencing on an eight-lane Picotiter plate. Pyrosequencing was performed using the 454 GS FLX system (Roche, Branford, CT).
Sequence annotation and microbial composition analyses
Sequences were categorized based on their appended pyrotag-sequences, and sequences of less than 100 nucleotides were discarded. The sequences were annotated, visualized and computed for taxonomic compositions and evolutionary distances using VITCOMIC (Visualization tool for Taxonomic Compositions of Microbial Community)  with some modifications. In brief, a library for 16S rDNA species were constructed from NCBI non-redundant , RDP [8, 12] and Greengenes  databases, and a library for 18S rDNA species were constructed from NCBI non-redundant , EMBL [14, 15] and SILVA  databases. Each read was annotated using BLASTN  or RNAmmer  with default parameters, unless identified. Percent relative abundance for each phylum was computed from the frequency of reads in the phylum divided by the total number of identified reads. In VITCOMIC, multiple sequences were aligned following MAFFT 6.713 with default parameters , genetic distances were calculated following Kimura's two-parameter model , and a neighbor-joining tree was constructed using PHYLIP 3.69 [10, 71]. Similarity indices of taxonomic compositions among different sample groups were determined based on Lennon and Yue & Clayton theta similarity indices [10, 72]. Additionally, the 16S rDNA data were compared with those of the GOS (https://portal.camera.calit2.net/gridsphere/gridsphere) [1, 3, 8, 9], using Yue & Clayton theta similarity coefficients (Thetayc) and Smith theta similarity coefficient (Thetan) in mothur [17, 18]. The closer the similarity coefficient to 0.000 indicated the more similarity in community structures. PCoA was plotted in three-dimensions using mothur . The Tha Wang and Tham Phang 16S rDNA data and the 67 GOS data and their Thetayc were used for an unweighted pair group method with arithmetic mean (UPGMA) clustering by mothur , given that their multiple sequence alignment were performed using NAST . The results were manually inspected to ensure properly sequence annotation, clustering, and phylogenetic tree relationship.
The authors thank S. Piyatiratitivorakul and S. Rungsupa for critical manuscript discussion, and S. Thaniyavarn, D. Sangsrakru, K. Kidmoa and A. Klanchui for general support. The authors also appreciate Sichang Marine Science Research and Training Station. This work was supported by Research Funds from the Faculty of Science, Chulalongkorn University, under the Project for Interdisciplinary Research, which Targeted to Collaborate with the Leading World Class University (to N. Somboonna). S. Tongsima would like to acknowledge the three grants that partially supported this work, namely 1) the Office of the Higher Education Commission and Mahidol University under the National Research Universities Initiative 2) the Thailand Research Fund (TRF) under Project no. RSA5480026 and 3) the "Research Chair Grant" National Science and Technology Development Agency.
This article has been published as part of BMC Genomics Volume 13 Supplement 7, 2012: Eleventh International Conference on Bioinformatics (InCoB2012): Computational Biology. The full contents of the supplement are available online at http://www.biomedcentral.com/bmcgenomics/supplements/13/S7.
- Vener JC, Remington K, Heidelberg JF, Halpern AL, Rusch D, Eisen JA, Wu D, Paulsen I, Nelson KE, Nelson W, Fouts DE, Levy S, Knap AH, Lomas MW, Nealson K, White O, Peterson J, Hoffman J, Parsons R, Baden-Tillson H, Pfannkoch C, Rogers Y-H, Smith HO: Environmental genome shotgun sequencing of the Sargasso Sea. Science. 2004, 304: 66-74. 10.1126/science.1093857.View ArticleGoogle Scholar
- Biers EJ, Sun S, Howard EC: Prokaryotic genomes and diversity in surface ocean waters: interrogating the global ocean sampling metagenome. Appl Environ Microbiol. 2009, 75: 2221-2229. 10.1128/AEM.02118-08.PubMed CentralView ArticlePubMedGoogle Scholar
- Yooseph S, Nealson KH, Rusch DB, McCrow JP, Dupont CL, Kim M, Johnson J, Montgomery R, Ferriera S, Beeson K, Williamson SJ, Tovchigrechko A, Allen AE, Zeigler LA, Sutton G, Eisenstadt E, Rogers Y-H, Friedman R, Frazier M, Venter JC: Genomic and functional adaptation in surface ocean planktonic prokaryotes. Nature. 2010, 468: 60-66. 10.1038/nature09530.View ArticlePubMedGoogle Scholar
- Zinger L, Ammaral-Zettler LA, Fuhrman JA, Horner-Devine MC, Huse SM, Welch DBM, Martiny JBH, Sogin M, Bortius A, Ramette A: Global patterns of bacterial beta-diversity in seafloor and seawater ecosystems. PLoS ONE. 2011, 6: e24570-10.1371/journal.pone.0024570.PubMed CentralView ArticlePubMedGoogle Scholar
- Chantanawisuti N, Piyatiratitivorakul S, Menasveta P: Types and annual distribution of garbages around the shore of Sichang Islands. Thai J Aquat Sci. 1996, 2: 108-116.Google Scholar
- Lane DJ, Pace B, Olsen GL, Stahl DA, Sogin ML, Pace NR: Rapid determination of 16S ribosomal RNA sequences for phylogenetic analyses. Proc Natl Acad Sci USA. 1985, 82: 6955-6959. 10.1073/pnas.82.20.6955.PubMed CentralView ArticlePubMedGoogle Scholar
- Kennedy J, Flemer B, Jackson SA, Lejon DPH, Morrissey JP, Ógara F, Dobson ADW: Marine metagenomics: new tools for the study and exploitation of marine microbial metabolism. Mar Drugs. 2010, 8: 608-628. 10.3390/md8030608.PubMed CentralView ArticlePubMedGoogle Scholar
- Rusch DB, Halpern AL, Sutton G, Heidelberg KB, Williamson S, Yooseph S, Wu D, Eisen JA, Hoffman JM, Remington K, Beeson K, Tran B, Smith H, Baden-Tillson H, Stewart C, Thorpe J, Freeman J, Andrews-Pfannkoch C, Venter JE, Li K, Kravitz S, Heidelberg JF, Utterback t, Rogers Y-H, Falcón LI, Souza V, Bonilla-Rosso G, Eguiarte LE, Karl DM, Sathyendranath S, et al: The Sorcerer II Global Ocean Sampling expedition: northwest Atlantic through eastern tropical Pacific. PLoS Biol. 2007, 5: e77-10.1371/journal.pbio.0050077.PubMed CentralView ArticlePubMedGoogle Scholar
- Shaw AK, Halpern AL, Beeson K, Tran B, Venter JC, Martiny JBH: It's all relative: ranking the diversity of aquatic bacterial communities. Environ Microbiol. 2008, 10: 2200-2210. 10.1111/j.1462-2920.2008.01626.x.View ArticlePubMedGoogle Scholar
- Mori H, Maruyama F, Kurokawa K: VITCOMIC: visualization tool for taxonomic compositions of microbial communities based on 16S rRNA gene sequences. BMC Bioinformatics. 2010, 11: 332-10.1186/1471-2105-11-332.PubMed CentralView ArticlePubMedGoogle Scholar
- Sayers EW, Barrett T, Benson DA, Bolton E, Bryant SH, Canese K, Chetvernin V, Church DM, DiCuccio M, Federhen S, Feolo M, Geer LY, Helmberg W, Kapustin Y, Landsman D, Lipman DJ, Lu Z, Madden TL, Madej T, Maglott DR, Marchler-Bauer A, Miller V, Mizrachi I, Ostell J, Panchenko A, Pruitt KD, Schuler GD, Sequeira E, Sherry ST, Shumway M, et al: Database resources of the National Center for Biotechnology Information. Nucleic Acids Res. 2010, 38: D5-D16. 10.1093/nar/gkp967.PubMed CentralView ArticlePubMedGoogle Scholar
- Maidak BL, Cole JR, Liburn TG, Parker CT, Saxman PR, Farris RJ, Garrity GM, Olsen GJ, Schmidt TM, Tiedje JM: The RDP-II (ribosomal database project). Nucleic Acids Res. 2001, 29: 173-174. 10.1093/nar/29.1.173.PubMed CentralView ArticlePubMedGoogle Scholar
- McDonald D, Price MN, Goodrich J, Nawrocki EP, DeSantis TZ, Probst A, Anderson GL, Knight R, Hugenholtz P: An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea. ISME J. 2012, 6: 610-618. 10.1038/ismej.2011.139. doi:10.1038/ismej.2011.139PubMed CentralView ArticlePubMedGoogle Scholar
- Brunak S, Danchin A, Hattori M, Nakamura H, Shinozaki K, Matise T, Preuss D: Nucleotide sequence database policies. Science. 2002, 298: 1333-View ArticlePubMedGoogle Scholar
- Leinonen R, Akhtar R, Birney E, Bower L, Cerdeno-Tárraga A, Cheng Y, Cleland I, Faruque N, Goodgame N, Gibson R, Hoad G, Jang M, Pakseresht N, Plaister S, Radhakrishnan R, Reddy K, Sobhany S, Hoopen PT, Vaughan R, Zalunin V, Cochrane G: The European nucleotide archive. Nucleic Acids Res. 2011, 39: D28-31. 10.1093/nar/gkq967.PubMed CentralView ArticlePubMedGoogle Scholar
- Pruesse E, Quast C, Knittel K, Fuchs BM, Ludwig W, Peplies J, Glöckner FO: SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB. Nucleic Acids Res. 2007, 35: 7188-7196. 10.1093/nar/gkm864.PubMed CentralView ArticlePubMedGoogle Scholar
- Yue JC, Clayton MK: A similarity measure based on species proportions. Commun Stat Theor Methods. 2005, 34: 2123-2131. 10.1080/STA-200066418.View ArticleGoogle Scholar
- Schloss PD, Westcott SL, Ryabin T, Hall JR, Hartmann M, Hollister EB, Lesniewski RA, Oakley BB, Parks DH, Robinson CJ, Sahl JW, Stres B, Thallinger GG, Horn DJV, Weber CF: Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol. 2009, 75: 7537-7541. 10.1128/AEM.01541-09.PubMed CentralView ArticlePubMedGoogle Scholar
- Antonov JI, Locarnii RA, Boyer TP, Mishonov AV, Garcia HE: World ocean atlas 2005. Edited by: Levitus S. 2006, Washington, DC: U.S. Government Printing OfficeGoogle Scholar
- Savichtcheva O, Okayama N, Okabe S: Relationships between Bacteroides 16S rRNA genetic markers and presence of bacterial enteric pathogens and conventional fecal indicators. Water Res. 2007, 41: 3615-3628. 10.1016/j.watres.2007.03.028.View ArticlePubMedGoogle Scholar
- Pisciotta JM, Zou Y, Baskakov V: Light-dependent electrogenic activity of Cyanobacteria. PLoS ONE. 5: e10821-Google Scholar
- Lam CWY, Ho KC: Red tides in Tolo Harbor, Hong Kong. Red tides. Biology, environmental science and toxicology. Edited by: Okaichi T, Anderson DM, Nemoto T. 1989, New York: Elsevier, 49-52.Google Scholar
- Flewelling LJ, Naar JP, Abbott JP, Baden DG, Barros NB, Bossart GD, Bottein M-YD, Hammond DG, Haubold EM, Heil CA, Henry MS, Jacocks HM, Leighfield TA, Pierce RH, Pitchford TD, Rommel SA, Scott PS, Steidinger KA, Truby EW, Dolah FMV, Landsberg JH: Red tides and marine mammal mortalities. Nature. 2005, 435: 755-756. 10.1038/nature435755a.PubMed CentralView ArticlePubMedGoogle Scholar
- Walsh CJ, Leggett SR, Carter BJ, Colle C: Effects of brevetoxin exposure on the immune system of loggerhead sea turtles. Aquat Toxicol. 2010, 97: 293-303. 10.1016/j.aquatox.2009.12.014.View ArticlePubMedGoogle Scholar
- Ley RE, Bäckhed F, Turnbaugh P, Lozupone CA, Knight RD, Gordon JI: Obesity alters gut microbial ecology. Proc Natl Acad Sci USA. 2005, 102: 11070-11075. 10.1073/pnas.0504978102.PubMed CentralView ArticlePubMedGoogle Scholar
- Ley RE, Peterson DA, Gordon JI: Ecological and evolutionary forces shaping microbial diversity in the human intestine. Cell. 2006, 124: 837-848. 10.1016/j.cell.2006.02.017.View ArticlePubMedGoogle Scholar
- Wolf M, Müller T, Dandekar T, Pollack JD: Phylogeny of Firmicutes with special reference to Mycoplasma (Mollicutes) as inferred from phosphoglycerate kinase amino acide sequence data. Int J Syst Evol Microbiol. 2004, 54: 871-875. 10.1099/ijs.0.02868-0.View ArticlePubMedGoogle Scholar
- Cho S-T, Tsai S-H, Ravindran A, Selvam A, Yang S-S: Seasonal variation of microbial populations and biomass in Tatachia grassland soils of Taiwan. Environ Geochem Health. 2008, 30: 255-272. 10.1007/s10653-007-9113-1.View ArticlePubMedGoogle Scholar
- Kishimoto N, Kosako Y, Tano T: Avidobacterium capsulatum gen. nov. sp. nov.: an avidophilic chemoorganotrophic bacterium containing menaquinone from acidic mineral environment. Curr Mmicrobiol. 1991, 22: 1-7. 10.1007/BF02106205.View ArticleGoogle Scholar
- Kuske CR, Barns SM, Busch JS: Diverse uncultivated bacterial groups from soils of the arid southwestern United States that are present in many geographic regions. Appl Environ Microbiol. 1997, 63: 3614-3621.PubMed CentralPubMedGoogle Scholar
- Rappe MS, Giovannoni SJ: The uncultured microbial majority. Annu Rev Microbiol. 2003, 57: 369-394. 10.1146/annurev.micro.57.030502.090759.View ArticlePubMedGoogle Scholar
- Barns SM, Cain EC, Sommerville L, Kuske CR: Acidobacteria phylum sequences in uranium-contaminated subsurface sediments greatly expand the known diversity within the phylum. Appl Environ Microbiol. 2007, 73: 3113-3116. 10.1128/AEM.02012-06.PubMed CentralView ArticlePubMedGoogle Scholar
- Wyrick P: Intracellular survival by Chlamydia. Cell Microbiol. 2000, 2: 275-282. 10.1046/j.1462-5822.2000.00059.x.View ArticlePubMedGoogle Scholar
- Dean D: Chlamydia trachomatis today: treatment, detection, immunogenetics and the need for a greater global understanding of chlamydial disease pathogenesis. Drugs Today (Barc). 2009, 45 Suppl B: 25-31.Google Scholar
- Skwor T, Kandel RP, Basravi S, Khan A, Sharma B, Dean D: Characterization of humoral immune responses to chlamydia HSP60, CPAF, and CT795 in inflammatory and severe trachoma. Invest Ophthalmol Vis Sci. 2010, 51: 5128-5136. 10.1167/iovs.09-5113.PubMed CentralView ArticlePubMedGoogle Scholar
- Takai T, Nakamura K, Toki T, Tsunogai U, Miyazaki M, Miyazaki J, Hirayama H, Nakagawa S, Nunoura T, Horikoshi K: Cell proliferation at 122°C and isotopically heavy CH4 production by a hyperthermophilic metanogen under high-pressure cultivation. Proc Natl Acad Sci. 2008, 105: 10949-10951. 10.1073/pnas.0712334105.PubMed CentralView ArticlePubMedGoogle Scholar
- Henry EA, Devereux R, Maki JS, Gilmour CC, Woese CR, Mandelco L, Schauder R, Remsen CC, Mitchell R: Characterization of a new thermophilic sulfate-reducing bacterium Thermodesulfovibrio yellowstonii, gen.nov. and sp.nov.: its phylogenetic relationship to Thermodesulfobacterium commune and their origins deep within the bacterial domain. Arch Microbiol. 1994, 161: 62-69. 10.1007/BF00248894.View ArticlePubMedGoogle Scholar
- Lien T, Madsen M, Rainey FA, Birkeland N-K: Petrotoga mobilis sp. nov., from a North Sea oil-production well. Int J Syst Bacteriol. 1998, 48 pt 3: 1007-1013.View ArticlePubMedGoogle Scholar
- Cayol J-L, Ollivier B, Patel BKC, Prensier G, Guezennec J, Garcia J-L: Isolation and characterization of Halothermothrix orenii gen. nov., sp. nov., a halophilic, thermophilic, fermentative, strictly anaerobic bacterium. Int J Syst Bacteriol. 1994, 44: 534-540. 10.1099/00207713-44-3-534.View ArticlePubMedGoogle Scholar
- Deckert G, Warren PV, Gaasterland T, Young WG, Lenox AL, Graham DE, Overbeek R, Snead MA, Keller M, Aujay M, Huber R, Feldmand RA, Short JM, Olsen GJ, Swanson RV: The complete genome of the hyperthermophilic bacterium Aquifex aeolicus. Nature. 1998, 392: 353-358. 10.1038/32831.View ArticlePubMedGoogle Scholar
- Ooteghem SAV, Beer SK, Yue PC: Hydrogen production by the thermophilic bacterium, Thermotoga neapolitana. Proceedings of the. 2001, DOE Hydrogen Program Review: NREL/CP-570-30535Google Scholar
- Huang LN, Zhou H, Chen YQ, Luo S, Lan CY, Qu LH: Diversity and structure of the archaeal community in the leachate of a full-scale recirculating landfill as examined by direct 16S rRNA gene sequence retrieval. FEMS Microbiol Lett. 2002, 214: 235-240. 10.1111/j.1574-6968.2002.tb11353.x.View ArticlePubMedGoogle Scholar
- Kendall MM, Liu Y, Sieprawska-Lupa M, Stetter KO, Whitman WB, Boone DR: Methanococcus aeolicus sp. Nov., a mesophilic, methanogenic aechaeon from shallow and deep marine sediments. Int J Syst Evol Microbiol. 2006, 56: 1525-1529. 10.1099/ijs.0.64216-0.View ArticlePubMedGoogle Scholar
- Holt JG, Lewin RA: Herpetosiphon aurantiacus gen.et sp.n., a new filamentous sliding organism. J Bacteriol. 1968, 95: 2407-2408.PubMed CentralPubMedGoogle Scholar
- Jurkevitch E: Predatory behaviours in bacteria - diversity and transitions. Microb. 2007, 2: 67-73.Google Scholar
- Sugio A, Kingdom HN, MacLean AM, Grieve VM, Hogenhout SA: Phytoplasma protein effector SAP11 enhances insect vector reproduction by manipulating plant development and defense hormone biosynthesis. Proc Natl Acad Sci USA. 2011, 108: E1254-E1263. 10.1073/pnas.1105664108.PubMed CentralView ArticlePubMedGoogle Scholar
- Nelson CE, Carlson CA: Tracking differential incorporation of dissolved organic carbon types among diverse lineages of Sargasso Sea bacterioplankton. Environ Microbiol. 2012, 14: 1500-1516. 10.1111/j.1462-2920.2012.02738.x.View ArticlePubMedGoogle Scholar
- Margassery LM, Kennedy J, O'Gara F, Dobson AD, Morrissey JP: Diversity and anti-bacterial activity of bacteria isolated from the coastal marine sponges Amphilectus fucorum and Eurypon major. Lett Appl Microbiol. 2012, 55: 2-8. 10.1111/j.1472-765X.2012.03256.x.View ArticlePubMedGoogle Scholar
- Tian B, Hua Y: Carotenoid biosynthesis in extremophilic Deinococcus-Thermus bacteria. Trends Microbiol. 2010, 18: 512-520. 10.1016/j.tim.2010.07.007.View ArticlePubMedGoogle Scholar
- Brachiopods information retrieved on 31 July 2012 [http://www.nmfs.noaa.gov/pr/species/invertebrates/#brachiopods]
- Lydeard C, Cowie RH, Ponder WF, Bogan AE, Bouchet P, Clark SA, Cummings KS, Frest TJ, Gargominy O, Herbert DG, Hershler R, Perez KE, Roth B, Seddon M, Strong EE, Thompson FG: The global decline of nonmarine mollusks. BioScience. 2004, 54: 321-330. 10.1641/0006-3568(2004)054[0321:TGDONM]2.0.CO;2.View ArticleGoogle Scholar
- Bugni TS, Ireland CM: Marine-derived fungi: a chemically and biologically diverse group of microorganisms. Nat Prod Rep. 2004, 21: 143-163. 10.1039/b301926h.View ArticlePubMedGoogle Scholar
- Richards TA, Jones MDM, Leonard G, Bass D: Marine fungi: their ecology and molecular diversity. Ann Rev Mar Sci. 2012, 4: 495-522. 10.1146/annurev-marine-120710-100802.View ArticlePubMedGoogle Scholar
- Singh P, Rathinasamy K, Mohan R, Panda D: Microtubule assemble dynamics: an attractive target for anticancer drugs. IUBMB Life. 2008, 60: 368-375. 10.1002/iub.42.View ArticlePubMedGoogle Scholar
- Krajicek BJ, Thomas CF, Limper AH: Pneumocystis pneumonia: current concepts in pathogenesis, diagnosis, and treatment. Clin Chest Med. 2009, 30: 265-278. 10.1016/j.ccm.2009.02.005.View ArticlePubMedGoogle Scholar
- Laybourn-Parry JJ: Microbiology. No place too cold. Science. 2009, 324: 1521-1522. 10.1126/science.1173645.View ArticlePubMedGoogle Scholar
- Patil SA, Surakasi VP, Koul S, Ijmulwar S, Vivek A, Shouche YS, Kapadnis BP: Electricity generation using chocolate industry wastewater and its treatment in activated sludge based microbial fuel cell and analysis of developed microbial community in the anode chamber. Bioresour Technol. 2009, 100: 5132-5139. 10.1016/j.biortech.2009.05.041.View ArticlePubMedGoogle Scholar
- Fuerst JA, Sagulenko E: Beyond the bacterium: planctomycetes challenge our concepts of microbial structure and function. Nat Rev Microbiol. 2011, 9: 403-413. 10.1038/nrmicro2578.View ArticlePubMedGoogle Scholar
- Begum D, Murray J: Direct isolation of metagenomic DNA from environmental water samples. EPICENTRE forum. 2008, 15: 7-8.Google Scholar
- Baker GC, Smith JJ, Cowan DA: Review and re-analysis of domain-specific 16S primers. J Microbiol Methods. 2003, 55: 541-555. 10.1016/j.mimet.2003.08.009.View ArticlePubMedGoogle Scholar
- Humblot C, Guyoet J-P: Pyrosequencing of tagged 16S rRNA gene amplicons for rapid diciphering of the microbiomes of fermented foods such as pearl millet slurries. Appl Environ Microbiol. 2009, 75: 4354-4361. 10.1128/AEM.00451-09.PubMed CentralView ArticlePubMedGoogle Scholar
- Nossa CW, Oberdorf WE, Yang L, Aas JA, Paster BJ, DeSantis TZ, Brodie EL, Malamud D, Poles MA, Pei Z: Design of 16S rRNA gene primers for 454 pyrosequencing of the human foregut microbiome. WJG. 2010, 16: 4135-4144. 10.3748/wjg.v16.i33.4135.PubMed CentralView ArticlePubMedGoogle Scholar
- Meyer M, Stenzel U, Hofreiter M: Parallel tagged sequencing on the 454 platform. Nature Protocols. 2008, 3: 267-278. 10.1038/nprot.2007.520.View ArticlePubMedGoogle Scholar
- Diez B, Pedros-Alio C, Massana R: Study of genetic diversity of eukaryotic picoplankton in different oceanic regions by small-subunit rRNA gene cloning and sequencing. Appl Environ Microbiol. 2001, 67: 2932-2941. 10.1128/AEM.67.7.2932-2941.2001.PubMed CentralView ArticlePubMedGoogle Scholar
- Grant S, Grant WD, Cowan DA, Jones BE, Ma Y, Ventosa A, Heaphy S: Identification of eukaryotic open reading frames in metagenomic cDNA libraries made from environmental samples. Appl Environ Microbiol. 2006, 72: 135-143. 10.1128/AEM.72.1.135-143.2006.PubMed CentralView ArticlePubMedGoogle Scholar
- Bailly J, Fraissinet-Tachet L, Verner M-C, Debaud J-C, Lemaire M, Wésolowski-Louvel M, Marmeisse R: Soil eukaryotic functional diversity, a metatranscriptomic approach. ISME J. 2007, 1: 632-642. 10.1038/ismej.2007.68.View ArticlePubMedGoogle Scholar
- Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997, 25: 3389-3402. 10.1093/nar/25.17.3389.PubMed CentralView ArticlePubMedGoogle Scholar
- Lagesen K, Hallin P, Rødland EA, Staerfeldt HH, Rognese T, Ussery DW: RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res. 2007, 35: 3100-3108. 10.1093/nar/gkm160.PubMed CentralView ArticlePubMedGoogle Scholar
- Katoh K, Toh H: Improved accuracy of multiple ncRNA alignment by incorporating structural information into a MAFFT-based framework. BMC Bioinformatics. 2008, 9: 212-10.1186/1471-2105-9-212.PubMed CentralView ArticlePubMedGoogle Scholar
- Kimura M: A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol. 1980, 16: 111-120. 10.1007/BF01731581.View ArticlePubMedGoogle Scholar
- Felsenstein J: PHYLIP-phylogeny inference package (version 3.2). Cladistics. 1989, 5: 164-166.Google Scholar
- Chao A, Chazdon RL, Colwell RK, Shen T-J: Abundance-based similarity indices and their estimation when there are unseen species in samples. Biometrics. 2006, 62: 361-371. 10.1111/j.1541-0420.2005.00489.x.View ArticlePubMedGoogle Scholar
- DeSantis TZ, Hugenholtz P, Keller K, Brodie EL, Larsen N, Piceno YM, Phan R, Andersen GL: NAST: a multiple sequence alignment server for comparative analysis of 16S rRNA genes. Nucl Acids Res. 2006, 34: W394-W399. 10.1093/nar/gkl244.PubMed CentralView ArticlePubMedGoogle Scholar
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