Research on the generation and annotation method of thin section images of tight oil reservoir based on deep learning.

The cast thin sections of tight oil reservoirs contain important parameters such as rock mineral composition and content, porosity, permeability and stratigraphic characteristics, which are of great significance for reservoir evaluation. The use of deep learning technology for intelligent identification of thin section images is a development trend of mineral identification. However, the difficulty of making cast thin sections, the complexity of the making process and the high cost of thin section annotation have led to a lack of cast thin section images, which cannot meet the training requirements of deep learning image recognition models. In order to increase the sample size and improve the training effect of deep learning model, we proposed a generation and annotation method of thin section images of tight oil reservoir based on deep learning, by taking Fuyu reservoir in Sanzhao Sag as the target area. Firstly, the Augmentor strategy space was used to preliminarily augment the original images while preserving the original image features to meet the requirements of the model. Secondly, the category attention mechanism was added to the original StyleGAN network to avoid the influence of the uneven number of components in thin sections on the quality of the generated images. Then, the SALM annotation module was designed to achieve semi-automatic annotation of the generated images. Finally, experiments on image sharpness, distortion, standard accuracy and annotation efficiency were designed to verify the advantages of the method in image quality and annotation efficiency.

Permeability decides the effect of antibiotics on sedimentary nitrogen removal in Jiulong River Estuary.

Sedimentary denitrification takes place beneath the oxic layer at the sediment-water interface, where nitrate and antibiotics need to diffuse through the overlying water. However, the antibiotics' effect on sedimentary N removal and associated N2O production has not been adequately investigated under in situ conditions. Here, isotope pairing techniques, including slurry incubations (potential) and intact core incubations (in situ), combined with metagenomic analysis were applied to investigate the impacts of two protein-inhibiting antibiotics (oxytetracycline and thiamphenicol) on sediment nitrogen removal in a subtropical estuary. Slurry incubations showed that the two antibiotics significantly inhibited denitrification (67-98%) and anammox (49-99%), while intact core incubations presented no antibiotic effect at upstream but significant inhibition (23%-52%) at downstream. Meanwhile, N2O yields were stimulated up to 20 folds in slurry incubations yet showing insignificant response in intact cores. Such contrasting results between up- and down-stream and between slurry and intact core incubations strongly indicated that permeability, which determines diffusion of antibiotics to microbes, is the key to exert the effect of antibiotics on in situ sedimentary nitrogen removal processes regardless the existence of antibiotics resistance genes. This diffusive obstruction may mitigate the toxic effect of antibiotics on nitrogen removal related microbes in natural environments.

Antidepressants amitriptyline, fluoxetine, and traditional Chinese medicine Xiaoyaosan caused alterations in gut DNA virome composition and function in rats exposed chronic unpredictable mild stress.

Background: In clinical practice, antidepressant drugs are widely used to treat depression. Previous studies have attention to the impact of antidepressants on the bacterial microbiome, while the role of these drugs in the gut virome is still unclear. Methods: In this study, we estimated the effects of antidepressant amitriptyline (Ami), fluoxetine (Flu), and traditional Chinese medicine Xiaoyaosan (XYS) administration on gut viral composition and function in a chronic unpredictable mild stress (CUMS)-induced depression rat model based on shotgun metagenomic sequencing. Results: The results showed that treatment with Ami, Flu, and XYS significantly changed the gut viral composition compared with the CUMS-induced rats. At the family level, the abundance of f_unclassified_Caudovirales in CUMS rats was remarkably lower than in the HC rats, nevertheless, XYS significantly recovered the abundance of Caudovirales. Meanwhile, the abundance of Podoviridae was expanded in CUMS rats compared with the HC rats, and the profile was then significantly reduced after XYS treatment. Furthermore, both antidepressants and XYS increased the abundance of Siphoviridae compared with the CUMS rats, but only Ami treatments had significant differences. Subsequent function annotation further implied that Ami, Flu, and XYS showed to involve an alteration of the diverse viral functions, such as carbohydrate metabolism, xenobiotics biodegradation and metabolism, community-prokaryotes, translation, and neurodegenerative disease. Additionally, the co-occurrence network displayed that there are complex interactions between viral operational taxonomic units (vOTUs) represented by temperate phages and the majority of bacterial genera in the intestine ecosystem. Conclusion: Our study proved for the first time that depression is characterized by massive alterations and functional distortion of the gut viruses, and after oral administration of Ami, Flu, and XYS could affect disordered gut virome, which could be a novel target in depression.

Deep sequencing reveals comprehensive insight into the prevalence, mobility, and hosts of antibiotic resistance genes in mangrove ecosystems.

Mangrove receives aquaculture wastewater and urban sewage, and thus is a potential reservoir for antibiotic resistance genes (ARGs). However, there is a dearth of a comprehensive profile of ARGs in mangrove ecosystems. We used metagenomic techniques to uncover the occurrence, host range, and potential mobility of ARGs in six mangrove ecosystems in southeastern China. Based on deep sequencing data, a total of 348 ARG subtypes were identified. The abundant ARGs were associated with acriflavine, bacitracin, beta-lactam, fluoroquinolone, macrolide-lincosamide-streptogramin, and polymyxin. Resistance genes tetR, aac(6')-Iae, aac(3)-IXa, vanRA, vanRG, and aac(3)-Ig were proposed as ARG indicators in mangrove ecosystems that can be used to evaluate the abundance of 100 other co-occurring ARGs quantitatively. Remarkably, 250 of 348 identified ARG subtypes were annotated as mobile genetic elements-associated ARGs, indicating a high potential risk of propagation of ARGs in mangrove ecosystems. By surveying the distribution of ARGs in 6281 draft genomes, more than 42 bacterial phyla were identified as the putative hosts of the ARGs. Among them, 21.97% were potentially multidrug-resistant hosts, including human and animal opportunistic pathogens. This research adds to our understanding of the distribution and spread of antibiotic resistomes in mangrove ecosystems, helping improve ARG risk assessment and management worldwide.

Photosynthesis-related physiology and metabolomics responses of Polygonum lapathifolium in contrasting manganese environments.

Manganese (Mn) plays an essential role in plant growth; however, excessive Mn is toxic to plants. Polygonum lapathifolium Linn. was tested as a novel Mn-hyperaccumulating species in our previous study, but the underlying mechanisms of this hyperaccumulation are poorly understood. A hydroponic experiment with (8mmolL-1 ) and without additional Mn (CK) was established to explore the possible mechanisms through the effects on photosynthesis-related physiological characteristics and metabolomics. The results showed that additional Mn increased plant biomass, photosynthesis, and stomatal conductance related to increases in the effective photochemical quantum yield of photosystem II and relative electron transport rate (P <0.05). The results from liquid chromatography-mass spectrometry revealed 56 metabolites differentially accumulated between the plants composing these two groups. Metabolites were enriched in 20 metabolic pathways at three levels (environmental information processing, genetic information processing, and metabolism), of which five metabolic pathways were associated with significant or extremely significant changes (P <0.05). These five enriched pathways were ABC transporters (environmental information processing), aminoacyl-tRNA biosynthesis (genetic information processing), biosynthesis of amino acids , d -arginine and d -ornithine metabolism , and arginine biosynthesis (metabolism). Flavonoids may play a key role in Mn tolerance, as they accumulated more than 490-fold, and the relationship between flavonoids and Mn tolerance needs to be studied in the future.

Identification and characterization of a novel metallo ß-lactamase, SZM-1, in Shenzhen Bay, South China.

Metallo ß-Lactamases (MBLs) degrade most clinical ß-lactam antibiotics, especially Carbapenem, posing a huge threat to global health. Studies on environmental MBLs are important for risk assessment of the MBLs transmission among connected habitats, and between environment and human. Here, we described a novel metallo ß-Lactamases, named SZM-1 (Shenzhen metallo-ß-lactamase), from an Arenimonas metagenome-assembled genome recovered from the river sediment in the Shenzhen Bay area, south China. Phylogenetic analysis, primary sequence comparison, structural modeling suggested that the SZM-1 belongs to B1 MBL family, likely harboring a typical di-zinc catalytic center. Furthermore, the gene encoding the MBLs was cloned into Escherichia coli TOP10 for Carba NP test and antimicrobial susceptibility test. The results indicated that the SZM-1 had carbapenemase activity, and conferred the carrier to increased resistance toward carbapenems. Taken together, our results raise alarms about the emergence and spread of the SZM-1, and suggest further surveillance, especially in hospital settings and clinical isolates, to determine whether bla SZM-1 is a mobilizable antibiotic resistance.

An Ancient Respiratory System in the Widespread Sedimentary Archaea Thermoprofundales.

Thermoprofundales, formerly Marine Benthic Group D (MBG-D), is a ubiquitous archaeal lineage found in sedimentary environments worldwide. However, its taxonomic classification, metabolic pathways, and evolutionary history are largely unexplored because of its uncultivability and limited number of sequenced genomes. In this study, phylogenomic analysis and average amino acid identity values of a collection of 146 Thermoprofundales genomes revealed five Thermoprofundales subgroups (A-E) with distinct habitat preferences. Most of the microorganisms from Subgroups B and D were thermophiles inhabiting hydrothermal vents and hot spring sediments, whereas those from Subgroup E were adapted to surface environments where sunlight is available. H2 production may be featured in Thermoprofundales as evidenced by a gene cluster encoding the ancient membrane-bound hydrogenase (MBH) complex. Interestingly, a unique structure separating the MBH gene cluster into two modular units was observed exclusively in the genomes of Subgroup E, which included a peripheral arm encoding the [NiFe] hydrogenase domain and a membrane arm encoding the Na+/H+ antiporter domain. These two modular structures were confirmed to function independently by detecting the H2-evolving activity in vitro and salt tolerance to 0.2 M NaCl in vivo, respectively. The peripheral arm of Subgroup E resembles the proposed common ancestral respiratory complex of modern respiratory systems, which plays a key role in the early evolution of life. In addition, molecular dating analysis revealed that Thermoprofundales is an early emerging archaeal lineage among the extant MBH-containing microorganisms, indicating new insights into the evolution of this ubiquitous archaea lineage.

Deterministic Factors Determine the Comammox Community Composition in the Pearl River Estuary Ecosystem.

Complete ammonia oxidizers (comammox) have been widely detected in riverine and estuarine ecosystems. However, knowledge about the process of comammox community assembly from freshwater to marine environments is still limited. Here, based on deep sequencing, we investigated the community composition of comammox along a salinity gradient in the Pearl River Estuary (PRE), South China. Our results showed that comammox microorganisms in the PRE sediments were extremely diverse and displayed distinct distributional patterns between upstream and downstream habitats. Quantitative PCR demonstrated that comammox was the dominant ammonia-oxidizing microorganism (AOM) in the PRE upstream sediments, and ammonia-oxidizing archaea (AOA) dominated the PRE downstream sediments, while ammonia-oxidizing bacteria (AOB) were not dominant in any section of the PRE. Neutral modeling revealed that stochastic processes explained a limited part of the variation in the comammox community. The majority of beta nearest-taxon index values were higher than 2, indicating that comammox community assembly in the PRE sediments was better explained through a deterministic process than through a stochastic process. Salinity and total nitrogen were the most important contributing factors that shaped the comammox community. This study expanded the current knowledge of the diversity and niche preference of comammox in the estuarine ecosystem, and further enhances our understanding of the assembly of comammox community from freshwater to marine environments. IMPORTANCE Microbial communities are shaped by stochastic (emigration, immigration, birth, death, and genetic drift of species) and deterministic (e.g., environmental factors) processes. However, it remains unknown as to which type of process is more important in influencing the comammox community assembly from freshwater to marine environments. In this study, we compared the relative importance of stochastic and deterministic processes in shaping the assembly of the comammox community, which demonstrated that the deterministic process was more important in determining the community assembly patterns in the PRE ecosystem.

Metagenomic exploration of antibiotic resistance genes and their hosts in aquaculture waters of the semi-closed Dongshan Bay (China).

In marine environments, increasing occurrence and numbers of microbial Antibiotic Resistance Gene (ARG) subtypes, especially of new beta-lactamases, have received lots of attention in recent years. Updated databases with novel developed tools provide new opportunities to obtain more comprehensive ARG profiles as well as ARG-carrying hosts. Yet, ARGs in human-associated marine aquaculture environments, e.g. in China, remains largely unknown. Using metagenomic data, we revealed high numbers of Multi-drug Resistance, beta-lactamase and aminoglycoside genes throughout the year. Thereby, Alpha- and Gamma-proteobacteria were assigned to the majority of beta-lactamase-carrying hosts. From Metagenome-assembled genomes, three blaF-like beta-lactamases (91.7-94.7% identity with beta-lactamase from Mycobacterium fortuitum (blaF)) were exclusively observed in an unclassified Mycobacterium genus. Notably, other new beta-lactamases, VMB-1-like (n = 3) (58.5-67.4% identity to Vibrio metallo-beta-lactamase 1 (VMB-1)), were found in Gammaproteobacteria. Additionally, 175 Multi-drug Resistant Organisms possessed at least 3 ARG subtypes, and seven of the potentially pathogenic genera (n = 17) were assigned to Gammaproteobacteria. These results, together with high-risk ARGs (e.g. tetM, dfrA14 and dfrA17), provide hosts and new beta-lactamases of ARGs in Chinese coastal aquaculture.

A mixed blessing of viruses in wastewater treatment plants.

Activated sludge of wastewater treatment plants harbors a very high diversity of both microorganisms and viruses, wherein the latter control microbial dynamics and metabolisms by infection and lysis of cells. However, it remains poorly understood how viruses impact the biochemical processes of activated sludge, for example in terms of treatment efficiency and pollutant removal. Using metagenomic and metatranscriptomic deep sequencing, the present study recovered thousands of viral sequences from activated sludge samples of three conventional wastewater treatment plants. Gene-sharing network indicated that most of viruses could not be assigned to known viral genera, implying activated sludge as an underexplored reservoir for new viruses and viral diversity. In silico predictions of virus-host linkages demonstrated that infected microbial hosts, mostly belonging to bacteria, were transcriptionally active and able to hydrolyze polymers including starches, celluloses, and proteins. Some viruses encode auxiliary metabolic genes (AMGs) involved in carbon, nitrogen, and sulfur cycling, and antibiotic resistance genes (ARGs) for resistance to multiple drugs. The virus-encoded AMGs may enhance the biodegradation of contaminants like starches and celluloses, suggesting a positive role for viruses in strengthening the performance of activated sludge. However, ARGs would be disseminated to different microorganisms using viruses as gene shuttles, demonstrating the possibility for viruses to facilitate the spread of antibiotic resistance in the environment. Collectively, this study highlights the mixed blessing of viruses in wastewater treatment plants, and deciphers how they manipulate the biochemical processes in the activated sludge, with implications for both environmental protection and ecosystem security.

Integrated metagenomic and metatranscriptomic analysis reveals actively expressed antibiotic resistomes in the plastisphere.

The plastisphere is viewed as a reservoir for the antibiotic resistome in water environments and may pose health concerns. However, the expression profiles of the resistome in the plastisphere are largely unknown. Here, we profiled the occurrence, abundance, and transcriptional level of antibiotic resistance genes (ARGs), plasmid associated ARGs, microbial composition and ARG bacterial hosts in the plastisphere and urban river water using 16S rRNA gene sequencing, metagenomic sequencing, and metatranscriptomic sequencing methods. A total of 173 ARGs conferring resistance to 24 major classes of antibiotics commonly prescribed to humans and animals were detected in the plastisphere. Of these, 75 genes were observed with transcriptional activity, indicating that the antibiotic resistome in the plastisphere was not only present, but also actively expressed. Human pathogens belonging to family Enterobacteriaceae were identified as bacterial hosts of ARGs in the plastisphere. The opportunistic and multidrug resistant human pathogen Enterobacter cloacae was found to actively express tetG and confer tetracycline resistance to the plastisphere. Furthermore, 39 genes were identified as "plasmid associated ARGs" in the plastisphere, displaying a higher proportion of transcript abundance compared with water. The above results suggest that the plastisphere is a hotspot for antibiotic resistome acquisition, expression, and dissemination.

Genomic insights into versatile lifestyle of three new bacterial candidate phyla.

Metagenomic explorations of the Earth's biosphere enable the discovery of previously unknown bacterial lineages of phylogenetic and ecological significance. Here, we retrieved 11 metagenomic-assembled genomes (MAGs) affiliated to three new monophyletic bacterial lineages from the seawater of the Yap Trench. Phylogenomic analysis revealed that each lineage is a new bacterial candidate phylum, subsequently named Candidatus Qinglongiota, Candidatus Heilongiota, and Candidatus Canglongiota. Metabolic reconstruction of genomes from the three phyla suggested that they adopt a versatile lifestyle, with the potential to utilize various types of sugars, proteins, and/or short-chain fatty acids through anaerobic pathways. This was further confirmed by a global distribution map of the three phyla, indicating a preference for oxygen-limited or particle-attached niches, such as anoxic sedimentary environments. Of note, Candidatus Canglongiota genomes harbor genes for the complete Wood- Ljungdahl pathway and sulfate reduction that are similar to those identified in some sulfate-reducing bacteria. Evolutionary analysis indicated that gene gain and loss events, and horizontal gene transfer (HGT) play important roles in shaping the genomic and metabolic features of the three new phyla. This study presents the genomic insight into the ecology, metabolism, and evolution of three new phyla, which broadens the phylum-level diversity within the domain Bacteria.

Cross-regional scale pollution of freshwater biofilms unveiled by antibiotic resistance genes.

A comprehensive global profile of the distribution of ARGs in freshwater biofilms is lacking. We utilized metagenomic approaches to reveal the diversity, abundance, transferability and hosts of ARGs in 96 freshwater biofilm samples from 38 sampling sites across four countries. The abundant ARGs were associated with bacitracin, multidrug, polymyxin macrolide-lincosamide-streptogramin (MLS) aminoglycoside, ß-lactam, chloramphenicol, sulfonamide and tetracycline resistance, consistent with the spectrum of antibiotics commonly used in human or veterinary medicine. As expected, the resistome in freshwater biofilm habitats was significantly influenced by geographical location and human footprint. Based on the co-occurrence pattern revealed by network analysis, mdtC, kdpE, and emrB were proposed as ARG indicators in freshwater biofilms that can be used to evaluate the abundance of 46 other co-occurring ARG subtypes quantitatively. Metagenomic assembly analysis revealed that the identified ARGs were hosted by more than 46 bacterial phyla, including various pathogens, which greatly expands the knowledge of resistome diversity in freshwater biofilms. Our study points to the central roles of biofilms in harbouring ARGs. The results could enhance understanding the distribution of ARGs in freshwater habitats, thereby strengthening the global environmental risk assessment and management of ARGs.

Spatial and seasonal variations of sediment bacterial communities in a river-bay system in South China.

River-bay systems are transitional areas that hold important roles in biogeochemical processes between continents and oceans. However, composition and structure of microbial communities shaped by such environments have not been clear yet. In this study, we used high-throughput sequencing of 16S rRNA genes to analyze the diversity and composition of sediment bacterial communities from the Shenzhen river-bay system during dry and wet seasons. The results showed that sediment bacterial community structure was varied according to habitats (river vs. estuary) and seasons (wet season vs. dry season). The alpha diversity of sediment bacterial community was significantly higher in the dry season than in the wet season, while no significant difference of alpha diversity was found between river and estuary. Neutral community model revealed a significant influence of stochastic processes on sediment bacterial community assembly, especially in the wet season. However, the beta nearest-taxon index indicated that deterministic processes were more responsible for the assembly of sediment bacterial community. Additionally, redundancy analysis suggested strong links between sediment bacterial communities and environmental factors in Shenzhen river-bay system, with the environmental factors explaining 63.5% of the bacterial community variation. Specifically, NH4+, pH, and salinity were the three most important contributing factors that shaped the sediment bacterial communities. Overall, this study provides a valuable reference to get insights into the spatiotemporal pattern of sediment bacterial communities in a typical river-bay system. KEY POINTS: • Stochastic processes contribute sediment bacterial community assembly. • Deterministic processes dominate sediment bacterial community assembly. • Environmental factors shape sediment bacterial communities.

Combine contrast-enhanced 3D T2-weighted short inversion time inversion recovery MR neurography with MR angiography at 1.5 T in the assessment of brachial plexopathy.

PURPOSE: To explore the benefits of using a single injection of contrast agent at a 1.5 T system to perform both contrast-enhanced MR angiography (MRA) and 3D-T2-STIR MR neurography (MRN) to assess of brachial plexopathy. METHODS: In this prospective study, 27 patients with suspected brachial plexopathy, received an imaging procedure composed sequentially of non-enhanced 3D-T2-STIR, CE-MRA, and contrast-enhanced 3D-T2-STIR, using a 1.5 T MR scanner. Signal intensities and contrast ratios were compared with and without contrast agent. The non-enhanced and contrast-enhanced 3D-T2-STIR images were mixed for two experienced radiologists to rate image diagnostic quality in a blind manner. 3D images of MRN and MRA were merged to reveal the spatial relation between brachial plexopathy and concomitant vascular disorders. RESULTS: By comparing the non-enhanced with contrast-enhanced 3D-T2-STIR images, it revealed that the use of the contrast agent in 3D-T2-STIR MRN could significantly suppress the background signals contributed by small vein (P < 0.001), lymph node (P < 0.001), muscle (P < 0.001) and bone (P < 0.001). This improved the contrast ratios between the brachial plexus and its surrounding tissues (P < 0.001) and boosted the image's quality score (P < 0.01). Examining both CE-MRA and 3D-T2-STIR images revealed a relatively high incidence of concurrent vascular dysfunction in brachial plexopathy, with 39% of confirmed cases accompanied with subclavian and axillary vessel abnormalities. CONCLUSION: Combining contrast-enhanced 3D-T2-STIR MRN with MRA at a 1.5 T system significantly suppresses background signals, improves brachial-plexus display, and provides a direct assessment for both brachial plexus lesion and surrounding vascular injury.

SPDB: a specialized database and web-based analysis platform for swine pathogens.

The rapid and accurate diagnosis of swine diseases is indispensable for reducing their negative impacts on the pork industry. Next-generation sequencing (NGS) is a promising diagnostic tool for swine diseases. To support the application of NGS in the diagnosis of swine disease, we established the Swine Pathogen Database (SPDB). The SPDB represents the first comprehensive and highly specialized database and analysis platform for swine pathogens. The current version features an online genome search tool, which now contains 26 148 genomes of swine, swine pathogens and phylogenetically related species. This database offers a comprehensive bioinformatics analysis pipeline for the identification of 4403 swine pathogens and their related species in clinical samples, based on targeted 16S rRNA gene sequencing and metagenomic NGS data. The SPDB provides a powerful and user-friendly service for veterinarians and researchers to support the applications of NGS in swine disease research. Database URL: http://spdatabase.com:2080/.

Temperature and salinity drive comammox community composition in mangrove ecosystems across southeastern China.

Complete ammonia-oxidizing (comammox) microorganisms are newly recognized nitrifying bacteria found in natural and engineered ecosystems. Mangrove ecosystems are hotspots for nitrogen cycling, but the knowledge of comammox diversity and abundance, and particularly, driving factors, in these ecosystems is scarce. We here used deep sequencing to investigate comammox diversity in six mangrove ecosystems across southeastern China. Our results showed that comammox microorganisms in mangrove sediments were extremely diverse. Phylogenetic analysis revealed a novel comammox group within clade A that formed a distinct cluster for which no reference sequence existed, implying their potential uniqueness. Quantitative PCR demonstrated that comammox abundance was slightly higher than that of the canonical ammonia-oxidizing bacteria but significantly lower than that of ammonia-oxidizing archaea, indicating they are not the dominant ammonia oxidizers in mangrove ecosystems. Finally, variation partition analysis revealed a significant decrease in similarity of comammox communities along the geographical distance, and a pronounced effect of the geographic factors and sediment attributes on the composition of comammox microorganisms and the abundance variations of ammonia oxidizers. Temperature and salinity were the most important contributing factors that shaped the comammox community. Further, detection of diverse comammox microorganisms in extremely high-salinity sediments suggested that this community could adapt to high salinity environments, which indicates salinity may not be a critical factor resulting in the absence of comammox microorganisms in open-ocean environments. This study expanded the current understanding of the diversity and niche preference of comammox in mangrove ecosystems, and further enhanced our understanding of adaptation potential of comammox communities.

The Distribution of Bathyarchaeota in Surface Sediments of the Pearl River Estuary Along Salinity Gradient.

Bathyarchaeota, a recently proposed archaeal phylum, is globally distributed and highly abundant in anoxic sediments. Metabolic pathways of the Bathyarchaeota members are diverse and, hence, this phylum has been proposed to play an important role in global biogeochemical cycles. Bathyarchaeota members are distributed in the estuarine environments. However, limited information is available about their detailed community structure, abundance, and functions in the Pearl River estuary (PRE). In the current study, we performed a comprehensive investigation of the archaeal community in the PRE surface sediments along a salinity gradient, with a focus on Bathyarchaeota. Bathyarchaeota was the dominant archaeal phylum, with the abundance of the bathyarchaeotal 16S rRNA gene ranging from 1.43 × 108 to 1.22 × 109 copies/g sediment dry weight (d.w.), and Bathy-8 was the dominant subgroup. Thaumarchaeota, Lokiarchaeota, and Euryarchaeota, including Thermoprofundales (MBG-D archaea), were the other major archaeal groups in the PRE. The differences of community distributions in the high- and low-salinity sediments were hence investigated. Statistical analysis revealed that besides salinity, ammonium, and total organic carbon were the most important environmental factors influencing the archaea community structure, including that of Bathyarchaeota, in the PRE. The archaeal network indicated the cooccurrence among Bathyarchaeota, Lokiarchaeota, and Euryarchaeota, while Bathy-6 presented unique correlations compared with other bathyarchaeotal subgroups. These observations indicate that Bathyarchaeota may play a role in ecosystem function through microbe-microbe interactions, revealing a possible different lifestyle for Bathy-6 in eutrophic estuarine sediments.

Over-expression of long noncoding RNA HOTAIRM1 promotes cell proliferation and invasion in human glioblastoma by up-regulating SP1 via sponging miR-137.

Glioblastoma is the most aggressive malignant brain tumor in adults. Long noncoding RNA HOTAIRM1 (HOX antisense intergenic RNA myeloid 1) has been reported to participate in the progression of various cancers. However, the role of HOTAIRM1 in glioblastoma and its underlying mechanisms are largely unknown. The relative expression levels of HOTAIRM1, miR-137 and specificity protein 1 were detected by quantitative real-time PCR or western blot. The effects of HOTAIRM1 on cell proliferation and invasion were evaluated by Cell Counting Kit-8 assay and Transwell assay, respectively. The interactions among HOTAIRM1, miR-137 and specificity protein 1 were predicted by online softwares and confirmed by luciferase reporter assay and RNA immunoprecipitation assay. The levels of HOTAIRM1 and specificity protein 1 were significantly increased while miR-137 was significantly decreased in glioblastoma tissues and cells. Knockdown of HOTAIRM1 suppressed proliferation and invasion in glioblastoma cells. Moreover, miR-137 was bound to HOTAIRM1, and specificity protein 1 was identified as a target of miR-137. The protein level of specificity protein 1 was repressed by silencing the expression of HOTAIRM1, whereas the effect was restored by inhibiting the expression of miR-137. Downregulation of HOTAIRM1 expression suppressed the proliferation and invasion of glioblastoma cells by down-regulating specificity protein 1 expression via sponging miR-137, indicating a promising strategy for glioblastoma treatment.