Upregulation of the novel lncRNA U731166 is associated with migration,invasion and vemurafenib resistance in melanoma

Our previous work using a melanoma progression model composed of melanocytic cells (melanocytes, primary and metastatic melanoma samples) demonstrated various deregulated genes, including a few known lncRNAs. Further analysis was conducted to discover novel lncRNAs associated with melanoma, and candidates were prioritized for their potential association with invasiveness or other metastasis‐related processes. In this sense, we found the intergenic lncRNA {"type":"entrez-nucleotide","attrs":{"text":"U73166","term_id":"1613889","term_text":"U73166"}}U73166 (ENSG00000230454) and decided to explore its effects in melanoma. For that, we silenced the lncRNA {"type":"entrez-nucleotide","attrs":{"text":"U73166","term_id":"1613889","term_text":"U73166"}}U73166 expression using shRNAs in a melanoma cell line. Next, we experimentally investigated its functions and found that migration and invasion had significantly decreased in knockdown cells, indicating an essential association of lncRNA {"type":"entrez-nucleotide","attrs":{"text":"U73166","term_id":"1613889","term_text":"U73166"}}U73166 for cancer processes. Additionally, using naïve and vemurafenib‐resistant cell lines and data from a patient before and after resistance, we found that vemurafenib‐resistant samples had a higher expression of lncRNA {"type":"entrez-nucleotide","attrs":{"text":"U73166","term_id":"1613889","term_text":"U73166"}}U73166. Also, we retrieved data from the literature that indicates lncRNA {"type":"entrez-nucleotide","attrs":{"text":"U73166","term_id":"1613889","term_text":"U73166"}}U73166 may act as a mediator of RNA processing and cell invasion, probably inducing a more aggressive phenotype. Therefore, our results suggest a relevant role of lncRNA {"type":"entrez-nucleotide","attrs":{"text":"U73166","term_id":"1613889","term_text":"U73166"}}U73166 in metastasis development. We also pointed herein the lncRNA {"type":"entrez-nucleotide","attrs":{"text":"U73166","term_id":"1613889","term_text":"U73166"}}U73166 as a new possible biomarker or target to help overcome clinical vemurafenib resistance.     

A DCS-related lncRNA signature predicts the prognosis and chemotherapeutic response of patients with gastric cancer

The combination of docetaxel, cisplatin, and S-1 (DCS) is a common chemotherapy regimen for patients with gastric cancer (GC). However, studies on long noncoding RNAs (lncRNAs) associated with the chemotherapeutic response to and prognosis after DCS remain lacking. The aim of the present study was to identify DCS mRNAs-lncRNAs associated with chemotherapy response and prognosis in GC patients. In the present study, we identified 548 lncRNAs associated with these 16 mRNAs in the TCGA and {"type":"entrez-geo","attrs":{"text":"GSE31811","term_id":"31811"}}GSE31811 datasets. Eleven lncRNAs were used to construct a prognostic signature by least absolute shrinkage and selection operator (LASSO) regression. A model including the 11 lncRNAs (LINC02532, {"type":"entrez-nucleotide","attrs":{"text":"AC007277.1","term_id":"4580503","term_text":"AC007277.1"}}AC007277.1, AC005324.4, {"type":"entrez-nucleotide","attrs":{"text":"AL512506.1","term_id":"12044702","term_text":"AL512506.1"}}AL512506.1, {"type":"entrez-nucleotide","attrs":{"text":"AC068790.7","term_id":"8571647","term_text":"AC068790.7"}}AC068790.7, {"type":"entrez-nucleotide","attrs":{"text":"AC022509.2","term_id":"6938434","term_text":"AC022509.2"}}AC022509.2, {"type":"entrez-nucleotide","attrs":{"text":"AC113139.1","term_id":"18875234","term_text":"AC113139.1"}}AC113139.1, LINC00106, {"type":"entrez-nucleotide","attrs":{"text":"AC005165.1","term_id":"3242748","term_text":"AC005165.1"}}AC005165.1, MIR100HG, and UBE2R2-AS1) associated with the prognosis of GC was constructed. The signature was validated in the TCGA database, model comparison, and qRT-PCR experiments. The results showed that the risk signature was a more effective prognostic factor for GC patients. Furthermore, the results showed that this model can well predicting chemotherapy drug response and immune infiltration of GC patients. In addition, our experimental results indicated that lower expression levels of LINC00106 and UBE2R2-AS1 predicted worse drug resistance in AGS/DDP cells. The experimental results agreed with the predictions. Furthermore, knockdown of LINC00106 or UBE2R2-AS1 can significantly enhanced the proliferation and migration of GC AGS cells in vitro. In conclusion, a novel DCS therapy-related lncRNA signature may become a new strategy to predict chemotherapy response and prognosis in GC patients. LINC00106 and UBE2R2-AS1 may exhibit a tumor suppressive function in GC.     

Long Noncoding RNAs Expression Patterns Associated with Chemo Response to Cisplatin Based Chemotherapy in Lung Squamous Cell Carcinoma Patients

Background

There is large variability among lung squamous cell carcinoma patients in response to treatment with cisplatin based chemotherapy. LncRNA is potentially a new type of predictive marker that can identify subgroups of patients who benefit from chemotherapy and it will have great value for treatment guidance.

Methods

Differentially expressed lncRNAs and mRNA were identified using microarray profiling of tumors with partial response (PR) vs. with progressive disease (PD) from advanced lung squamous cell carcinoma patients treated with cisplatin based chemotherapy and validated by quantitative real-time PCR (qPCR). Furthermore, the expression of {"type":"entrez-nucleotide","attrs":{"text":"AC006050","term_id":"117414223","term_text":"AC006050"}}AC006050.3-003 was assessed in another 60 tumor samples.

Results

Compared with the PD samples, 953 lncRNAs were consistently upregulated and 749 lncRNAs were downregulated consistently among the differentially expressed lncRNAs in PR samples (Fold Change≥2.0-fold, p <0.05). Pathway analyses showed that some classical pathways, including “Nucleotide excision repair,” that participated in cisplatin chemo response were differentially expressed between PR and PD samples. Coding-non-coding gene co-expression network identified many lncRNAs, such as lncRNA {"type":"entrez-nucleotide","attrs":{"text":"AC006050","term_id":"117414223","term_text":"AC006050"}}AC006050.3-003, that potentially played a key role in chemo response. The expression of lncRNA {"type":"entrez-nucleotide","attrs":{"text":"AC006050","term_id":"117414223","term_text":"AC006050"}}AC006050.3-003 was significantly lower in PR samples compared to the PD samples in another 60 lung squamous cell carcinoma patients. Receiver operating characteristic curve analysis revealed that lncRNA {"type":"entrez-nucleotide","attrs":{"text":"AC006050","term_id":"117414223","term_text":"AC006050"}}AC006050.3-003 was a valuable biomarker for differentiating PR patients from PD patients with an area under the curve of 0.887 (95% confidence interval 0.779, 0.954).

Conclusions

LncRNAs seem to be involved in cisplatin-based chemo response and may serve as biomarkers for treatment response and candidates for therapy targets in lung squamous cell carcinoma.     

Aberrantly Expressed lncRNAs in Primary Varicose Great Saphenous Veins

Long non-coding RNAs (lncRNAs) are key regulatory molecules involved in a variety of biological processes and human diseases. However, the pathological effects of lncRNAs on primary varicose great saphenous veins (GSVs) remain unclear. The purpose of the present study was to identify aberrantly expressed lncRNAs involved in the prevalence of GSV varicosities and predict their potential functions. Using microarray with 33,045 lncRNA and 30,215 mRNA probes, 557 lncRNAs and 980 mRNAs that differed significantly in expression between the varicose great saphenous veins and control veins were identified in six pairs of samples. These lncRNAs were sub-grouped and mRNAs expressed at different levels were clustered into several pathways with six focused on metabolic pathways. Quantitative real-time PCR replication of nine lncRNAs was performed in 32 subjects, validating six lncRNAs ({"type":"entrez-nucleotide","attrs":{"text":"AF119885","term_id":"7770206","term_text":"AF119885"}}AF119885, {"type":"entrez-nucleotide","attrs":{"text":"AK021444","term_id":"10432630","term_text":"AK021444"}}AK021444, {"type":"entrez-nucleotide","attrs":{"text":"NR_027830","term_id":"240255595","term_text":"NR_027830"}}NR_027830, {"type":"entrez-nucleotide","attrs":{"text":"G36810","term_id":"2734477","term_text":"G36810"}}G36810, {"type":"entrez-nucleotide","attrs":{"text":"NR_027927","term_id":"242246950","term_text":"NR_027927"}}NR_027927, uc.345-). A coding-non-coding gene co-expression network revealed that four of these six lncRNAs may be correlated with 11 mRNAs and pathway analysis revealed that they may be correlated with another 8 mRNAs associated with metabolic pathways. In conclusion, aberrantly expressed lncRNAs for GSV varicosities were here systematically screened and validated and their functions were predicted. These findings provide novel insight into the physiology of lncRNAs and the pathogenesis of varicose veins for further investigation. These aberrantly expressed lncRNAs may serve as new therapeutic targets for varicose veins. The Human Ethnics Committee of Shanghai East Hospital, Tongji University School of Medicine approved the study (NO.: 2011-DF-53).     

LncRNA DQ786243 affects Treg related CREB and Foxp3 expression in Crohn’s disease

Background

Long non-coding RNAs (lncRNAs) have different functions in cells. They work as signals, decoys, guides, and scaffolds. Altered lncRNA levels can affect the expression of gene products. There are seldom studies on the role of lncRNAs in inflammatory bowel disease (IBD).

Results

Quantitative RT-PCR showed that {"type":"entrez-nucleotide","attrs":{"text":"DQ786243","term_id":"110631570","term_text":"DQ786243"}}DQ786243 was significantly overexpressed in clinical active CD patients compared with clinical inactive CD patients (P = 0.0118) or healthy controls (P = 0.002). CREB was also more highly expressed in active CD than in inactive CD (P = 0.0034) or controls (P = 0.0241). Foxp3 was interestingly lower in inactive CD than in active CD (P = 0.0317) or controls (P = 0.0103), but there were no apparent differences between active CD and controls. CRP was well correlated with {"type":"entrez-nucleotide","attrs":{"text":"DQ786243","term_id":"110631570","term_text":"DQ786243"}}DQ786243 (r = 0.489, P = 0.034), CREB (r = 0.500, P = 0.029) and Foxp3 (r = 0.546, P = 0.016). At 48 hours after {"type":"entrez-nucleotide","attrs":{"text":"DQ786243","term_id":"110631570","term_text":"DQ786243"}}DQ786243 transfection, qRT-PCR showed both CREB (P = 0.017) and Foxp3 (P = 0.046) had an increased mRNA expression in Jurkat cells. Western blot showed the same pattern. After {"type":"entrez-nucleotide","attrs":{"text":"DQ786243","term_id":"110631570","term_text":"DQ786243"}}DQ786243 transfection, CREB phosphorylation ratio (p-CREB/t-CREB) was increased (P = 0.0043).

Conclusion

{"type":"entrez-nucleotide","attrs":{"text":"DQ786243","term_id":"110631570","term_text":"DQ786243"}}DQ786243 can be related with severity of CD. It can affect the expression of CREB and Foxp3 through which regulates the function of Treg. CREB itself seems not the mediator of {"type":"entrez-nucleotide","attrs":{"text":"DQ786243","term_id":"110631570","term_text":"DQ786243"}}DQ786243 to up-regulate Foxp3. The phosphorylation of CREB might play a more important role in the process.     

LncRNAs Expression Signatures of Renal Clear Cell Carcinoma Revealed by Microarray

Background

Long noncoding RNAs (lncRNAs) are an important class of pervasive genes involved in a variety of biological functions. They are aberrantly expressed in many types of cancers. In this study, we described lncRNAs profiles in 6 pairs of human renal clear cell carcinoma (RCCC) and the corresponding adjacent nontumorous tissues (NT) by microarray.

Methodology/Principal Findings

With abundant and varied probes accounting 33,045 LncRNAs in our microarray, the number of lncRNAs that expressed at a certain level could be detected is 17157. From the data we found there were thousands of lncRNAs that differentially expressed (≥2 fold-change) in RCCC tissues compared with NT and 916 lncRNAs differentially expressed in five or more of six RCCC samples. Compared with NT, many lncRNAs were significantly up-regulated or down-regulated in RCCC. Our data showed that down-regulated lncRNAs were more common than up-regulated ones. ENST00000456816, {"type":"entrez-nucleotide","attrs":{"text":"X91348","term_id":"1418768","term_text":"X91348"}}X91348, {"type":"entrez-nucleotide","attrs":{"text":"BC029135","term_id":"23271405","term_text":"BC029135"}}BC029135, {"type":"entrez-nucleotide","attrs":{"text":"NR_024418","term_id":"212286160","term_text":"NR_024418"}}NR_024418 were evaluated by qPCR in sixty-three pairs of RCCC and NT samples. The four lncRNAs were aberrantly expressed in RCCC compared with matched histologically normal renal tissues.

Conclusions/Significance

Our study is the first one to determine genome-wide lncRNAs expression patterns in RCCC by microarray. The results displayed that clusters of lncRNAs were aberrantly expressed in RCCC compared with NT samples, which revealed that lncRNAs differentially expressed in tumor tissues and normal tissues may exert a partial or key role in tumor development. Taken together, this study may provide potential targets for future treatment of RCCC and novel insights into cancer biology.     

Expression Profiles of Long Noncoding RNAs and Messenger RNAs in Mn-Exposed Hippocampal Neurons of Sprague–Dawley Rats Ascertained by Microarray: Implications for Mn-Induced Neurotoxicity

Manganese (Mn) is an essential trace element, while excessive expose may induce neurotoxicity. Recently, lncRNAs have been extensively studied and it has been confirmed that lncRNAs participate in neural functions and aberrantly expressed lncRNAs are involved in neurological diseases. However, the pathological effects of lncRNAs on Mn-induced neurotoxicity remain unclear. In this study, the expression profiles of lncRNAs and messenger RNAs (mRNAs) were identified in Mn-treated hippocampal neurons and control neurons via microarray. Bioinformatic methods and intersection analysis were also employed. Results indicated that 566, 1161, and 1474 lncRNAs meanwhile 1848, 3228, and 4022 mRNAs were aberrantly expressed in low, intermediate, and high Mn-exposed groups compared with the control group, respectively. Go analysis determined that differentially expressed mRNAs were targeted to biological processes, cellular components, and molecular functions. Pathway analysis indicated that these mRNAs were enriched in insulin secretion, cell cycle, and DNA replication. Intersection analysis denominated that 135 lncRNAs and 373 mRNAs were consistently up-regulated while 150 lncRNAs and 560 mRNAs were consistently down-regulated. Meanwhile, lncRNA {"type":"entrez-nucleotide","attrs":{"text":"BC079195","term_id":"50926238"}}BC079195 was significantly up-regulated while lncRNAs uc.229- and {"type":"entrez-nucleotide","attrs":{"text":"BC089928","term_id":"59808777"}}BC089928 were significantly down-regulated in three comparison groups. The relative expression levels of 3 lncRNAs and 4 mRNAs were validated through qRT-PCR. To the best of our knowledge, this study is the first to identify the expression patterns of lncRNAs and mRNAs in hippocampal neurons of Sprague–Dawley rats. The results may provide evidence on underlying mechanisms of Mn-induced neurotoxicity, and aberrantly expressed lncRNAs/mRNAs may be useful in further investigations to detect early symptoms of Mn-induced neuropsychiatric disorders in the central nervous system.     

Serum LncRNAs Profiles Serve as Novel Potential Biomarkers for the Diagnosis of HBV-Positive Hepatocellular Carcinoma

Background

Hepatocellular carcinoma (HCC) is a common malignancy that has a poor prognosis because there is lack of methods for early diagnosis. We aimed to utilize two serum long non-coding RNAs (lncRNAs), uc001ncr and {"type":"entrez-nucleotide","attrs":{"text":"AX800134","term_id":"37653391"}}AX800134, to diagnose hepatitis B virus (HBV)–positive HCC.

Methods

lncRNA microarrays were utilized to measure the differential expression of lncRNAs between tumor tissues and corresponding non-tumor tissues in HBV-positive hapatocellular carcinoma. uc001ncr and {"type":"entrez-nucleotide","attrs":{"text":"AX800134","term_id":"37653391"}}AX800134 were selected as candidate lncRNAs and detected in three independent cohorts containing a total of 684 participants (healthy individuals and chronic HBV patients and HBV-positive HCC patients) who were recruited between March 2011 and December 2012. A logistic regression model was constructed using a training cohort (n = 353) and validated using an independent cohort (n = 181). The area under the receiver operating characteristic curve (AUC) was utilized to evaluate the diagnostic accuracy.

Results

We determined that a panel based on the expression of uc001ncr and {"type":"entrez-nucleotide","attrs":{"text":"AX800134","term_id":"37653391"}}AX800134 accurately diagnosed HBV-positive HCC (AUC values of 0.9494 and 0.9491 for the training and validation cohorts, respectively). The diagnostic performance of the panel remained high in patients with AFP≤400 ng/ml (AUC values of 0.9371 and 0.9527 for the training and validation cohorts, respectively). The panel also diagnosed early HCC (AUC values of 0.9450 and 0.9564 for the training and validation cohorts, respectively).

Conclusion

Our results indicated that the serum expression of uc001ncr and {"type":"entrez-nucleotide","attrs":{"text":"AX800134","term_id":"37653391"}}AX800134 has potential as novel potential biomarker for the diagnosis of HCC, especially in patients with AFP≤400 ng/ml or early-stage disease (BCLC 0+A).     

Development and Characterization of a Psathyrostachys huashanica Keng 7Ns Chromosome Addition Line with Leaf Rust Resistance

The aim of this study was to characterize a Triticum aestivum-Psathyrostachys huashanica Keng (2n = 2x = 14, NsNs) disomic addition line 2-1-6-3. Individual line 2-1-6-3 plants were analyzed using cytological, genomic in situ hybridization (GISH), EST-SSR, and EST-STS techniques. The alien addition line 2-1-6-3 was shown to have two P. huashanica chromosomes, with a meiotic configuration of 2n = 44 = 22 II. We tested 55 EST-SSR and 336 EST-STS primer pairs that mapped onto seven different wheat chromosomes using DNA from parents and the P. huashanica addition line. One EST-SSR and nine EST-STS primer pairs indicated that the additional chromosome of P. huashanica belonged to homoeologous group 7, the diagnostic fragments of five EST-STS markers ({"type":"entrez-nucleotide","attrs":{"text":"BE404955","term_id":"9364423","term_text":"BE404955"}}BE404955, {"type":"entrez-nucleotide","attrs":{"text":"BE591127","term_id":"9846121","term_text":"BE591127"}}BE591127, {"type":"entrez-nucleotide","attrs":{"text":"BE637663","term_id":"9920774","term_text":"BE637663"}}BE637663, {"type":"entrez-nucleotide","attrs":{"text":"BF482781","term_id":"11566082","term_text":"BF482781"}}BF482781 and {"type":"entrez-nucleotide","attrs":{"text":"CD452422","term_id":"31367162","term_text":"CD452422"}}CD452422) were cloned, sequenced and compared. The results showed that the amplified polymorphic bands of P. huashanica and disomic addition line 2-1-6-3 shared 100% sequence identity, which was designated as the 7Ns disomic addition line. Disomic addition line 2-1-6-3 was evaluated to test the leaf rust resistance of adult stages in the field. We found that one pair of the 7Ns genome chromosomes carried new leaf rust resistance gene(s). Moreover, wheat line 2-1-6-3 had a superior numbers of florets and grains per spike, which were associated with the introgression of the paired P. huashanica chromosomes. These high levels of disease resistance and stable, excellent agronomic traits suggest that this line could be utilized as a novel donor in wheat breeding programs.     

Complete Genome Sequence of Lactobacillus plantarum JDM1

Lactobacillus plantarum is a lactic acid bacterium (LAB) species commonly used as a probiotic. We have sequenced the genome of Lactobacillus plantarum JDM1, which is a Chinese commercial LAB with several probiotic functions, using a GS 20 system. We recommend that each commercial probiotic strain should undergo complete genome sequencing to ensure safety and stability.Lactic acid bacteria (LAB) play a prominent role in the world food supply, performing the main bioconversions in fermented food, and are also used as probiotic supplements in dairy products and other foods. Lactobacillus plantarum is a LAB species commonly used as a probiotic. We have sequenced the genome of Lactobacillus plantarum JDM1, which is a widely used Chinese commercial LAB with several probiotic functions, using a GS 20 system (454 Life Science Corporation) (11). Two hundred thirty-six thousand, five hundred sixty-three high-quality reads were assembled with the 454 assembly tool, which had an average depth of 18.6-fold coverage of the genome and yielded 367 contigs. Among these, 225 large contigs represented 99.17% of the draft sequence. In the finishing process, the order of the selected large contigs was determined by BLAST analysis with the originally published genome sequence of strain WCFS1 (GenBank accession number {"type":"entrez-nucleotide","attrs":{"text":"AL935263","term_id":"342240345","term_text":"AL935263"}}AL935263) (8). Physical gaps were filled through sequencing of PCR products that spanned these regions using ABI 3730 xl DNA sequencers. Sequence assembly was accomplished by using the Phred/Phrap/Consed software package (4, 7). To ensure final accuracy, the errors in homopolymer sites that arose from the pyrosequencing method were solved via comparison with the corresponding sites on WCFS1 and then resequencing of the ambiguous bases using the ABI 3730 xl DNA sequencer.The complete genome of Lactobacillus plantarum JDM1 contains a single, circular chromosome of 3,197,759 bp and two plasmids (pLP2000 [2,062 bp] and pLP9000 [9,254 bp]). The two plasmids have been sequenced and published, with GenBank accession numbers {"type":"entrez-nucleotide","attrs":{"text":"AY096004","term_id":"20853777","term_text":"AY096004"}}AY096004 and {"type":"entrez-nucleotide","attrs":{"text":"AY096005","term_id":"20853804","term_text":"AY096005"}}AY096005 (3). The overall GC content of the chromosome is 44.66%, whereas the plasmids have a GC content slightly lower than that of the chromosome. The entire genome of JDM1 contains 2,948 protein-coding genes, 62 tRNA-encoding genes, and 16 rRNA-encoding genes. Several repeated sequences, designated ISP2, were found in the chromosome which were almost the same as those in WCSF1, identified as a class of transposase-encoding regions representing mobile genetic elements. The other repeated sequence, ISP1 of WCSF1, was absent in JDM1.The entire genomic sequence of L. plantarum JDM1 was a little shorter than that of L. plantarum WCSF1 (3.3 Mb). The two genomes were highly similar (>90% by BLASTN analysis) with respect to genome structure and gene order. Intraspecies diversity may be required for successful adaptation in a complex ecological habitat (2). L. plantarum JDM1 has been grown as a probiotic in rich nutritional medium for so long that the genome may have gradually contracted. As supporting evidence, many sugar transport and metabolism genes in WCFS1 were absent in JDM1.The prophage sequences and locations of JDM1 and WCFS1 are highly variable. L. plantarum JDM1 contains three prophage elements in its genome. R-Pg1, representing a short prophage remnant, is about 14 kb in size, which is similar to R-Lp3 in WCFS1. Pg2 and Pg3 are two ∼39-kb-long prophages that are closely related to Listeria phage B025 (accession no. {"type":"entrez-nucleotide","attrs":{"text":"DQ003639","term_id":"66733223","term_text":"DQ003639"}}DQ003639) and the phage Pediococcus pentosaceus ATCC 25745 (accession no. {"type":"entrez-nucleotide","attrs":{"text":"CP000422","term_id":"116101968","term_text":"CP000422"}}CP000422), respectively.The genomes of LAB evolve actively to adapt to nutritionally rich environments. Even for two strains of the same species, differences obviously exist. The degradation of the genome appears to be an ongoing process not only in all species of Lactobacillus (10) but also in different strains of the same species(2).With the development of better living conditions, the biosafety of food and medicine has received more attention. Lactobacillus bacteria have been supposed to have a “generally accepted as safe” status, but they still have been associated with negative reports (1, 6, 9). More about the functional mechanisms of JDM1 and potential side effects would be explored by complete genome sequencing and data mining. Furthermore, comparative genomics analysis could be carried out with Chinese and European strains. We believe the complete genome of each probiotic strain should be sequenced to ensure safety and stability. At the end of the day, we will get what we pay for in terms of microbial genome sequencing projects (5).     

Phenotypic Assessment of Probiotic and Bacteriocinogenic Efficacy of Indigenous LAB Strains from Human Breast Milk

Breast milk is the combination of bioactive compounds and microflora that promote newborn’s proper growth, gut flora, and immunity. Thus, it is always considered the perfect food for newborns. Amongst their bioactives, probiotic communities—especially lactic acid bacteria (LAB)—are characterized from breast milk over the first month of parturition. In this study, seven LAB were characterized phenotypically and genotypically as Levilactobacillus brevis BDUMBT08 ({"type":"entrez-nucleotide","attrs":{"text":"MT673657","term_id":"1863149999"}}MT673657), L. gastricus BDUMBT09 ({"type":"entrez-nucleotide","attrs":{"text":"MT774596","term_id":"1873222494"}}MT774596), L. paracasei BDUMBT10 ({"type":"entrez-nucleotide","attrs":{"text":"MT775430","term_id":"1874262304"}}MT775430), L. brevis BDUMBT11 ({"type":"entrez-nucleotide","attrs":{"text":"MW785062","term_id":"2009762994"}}MW785062), L. casei BDUMBT12 ({"type":"entrez-nucleotide","attrs":{"text":"MW785063","term_id":"2009820773"}}MW785063), L. casei BDUMBT13 ({"type":"entrez-nucleotide","attrs":{"text":"MW785178","term_id":"2010296340"}}MW785178), and Brevibacillus brevis M2403 ({"type":"entrez-nucleotide","attrs":{"text":"MK371781","term_id":"1548854744"}}MK371781) from human breast milk. Their tolerance to lysozyme, acid, bile, gastric juice, pancreatic juice, and NaCl and potential for mucoadhesion, auto-aggregation, and co-aggregation with pathogens are of great prominence in forecasting their gut colonizing ability. They proved their safety aspects as they were negative for virulence determinants such as hemolysis and biofilm production. Antibiogram of LAB showed their sensitivity to more than 90% of the antibiotics tested. Amongst seven LAB, three isolates (L. brevis BDUMBT08 and BDUMBT11, and L. gatricus BDUMBT09) proved their bacteriocin producing propensity. Although the seven LAB isolates differed in their behavior, their substantial probiotic properties with safety could be taken as promising probiotics for further studies to prove their in vivo effects, such as health benefits, in humans.     

Construction of immune-related LncRNAs classifier to predict prognosis and immunotherapy response in thymic epithelial tumors

The primary objective of this study was to construct an immune-related long noncoding RNAs (IRLs) classifier to precisely predict the prognosis and immunotherapy response of patients with thymic epithelial tumors (TET). Based on univariable Cox regression analysis and Lasso regression, six prognosis-related IRLs (AC004466.3, {"type":"entrez-nucleotide","attrs":{"text":"AC138207.2","term_id":"29165571","term_text":"AC138207.2"}}AC138207.2, {"type":"entrez-nucleotide","attrs":{"text":"AC148477.2","term_id":"45504179","term_text":"AC148477.2"}}AC148477.2, {"type":"entrez-nucleotide","attrs":{"text":"AL450270.1","term_id":"11244554","term_text":"AL450270.1"}}AL450270.1, HOXB-AS1 and SNHG8) were selected to build an IRL classifier. Importantly, results of qRT-PCR validated that higher expression levels of {"type":"entrez-nucleotide","attrs":{"text":"AC138207.2","term_id":"29165571","term_text":"AC138207.2"}}AC138207.2, {"type":"entrez-nucleotide","attrs":{"text":"AC148477.2","term_id":"45504179","term_text":"AC148477.2"}}AC148477.2, {"type":"entrez-nucleotide","attrs":{"text":"AL450270.1","term_id":"11244554","term_text":"AL450270.1"}}AL450270.1 and SNHG8 as well as lower expression levels of AC004466.3, and HOXB-AS1 in TETs samples compared with normal controls. The IRL classifier could effectively classify patients into the low-risk and high-risk groups based on the different survival parameters. In terms of predictive ability and clinical utility, the IRL classifier was superior to Masaoka staging system. Additionally, IRL classifier is significantly associated with immune cells infiltration (dendritic cells, activated CD4 memory T cells and tumor-infiltrating lymphocyte (TIL), T cell subsets in particular), immune microenvironment (immune score and immune checkpoint inhibitors) and immunogenicity (TMB) in TETs, which hints that IRL classifier is tightly correlated with immune characteristics and might guide more effective immunotherapy strategies for TETs patients. Encouragingly, according to TIDE algorithm, there were more immunotherapy responders in the low-risk IRL subgroup and the IRL score was robustly negatively linked to the immunotherapeutic response. To sum up, the IRL classifier was established, which can be used to predict the prognosis, immune infiltration status, immunotherapy response in TETs patients, and may facilitate personalized counseling for immunotherapy.     

LncRNA‐AK137033 inhibits the osteogenic potential of adipose‐derived stem cells in diabetic osteoporosis by regulating Wnt signaling pathway via DNA methylation

ObjectivesBone tissue engineering based on adipose‐derived stem cells (ASCs) is expected to become a new treatment for diabetic osteoporosis (DOP) patients with bone defects. However, compared with control ASCs (CON‐ASCs), osteogenic potential of DOP‐ASCs is decreased, which increased the difficulty of bone reconstruction in DOP patients. Moreover, the cause of the poor osteogenesis of ASCs in a hyperglycemic microenvironment has not been elucidated. Therefore, this study explored the molecular mechanism of the decline in the osteogenic potential of DOP‐ASCs from the perspective of epigenetics to provide a possible therapeutic target for bone repair in DOP patients with bone defects.Materials and methodsAn animal model of DOP was established in mice. CON‐ASCs and DOP‐ASCs were isolated from CON and DOP mice, respectively. {"type":"entrez-nucleotide","attrs":{"text":"AK137033","term_id":"74205820","term_text":"AK137033"}}AK137033 small interfering RNA (SiRNA) and an {"type":"entrez-nucleotide","attrs":{"text":"AK137033","term_id":"74205820","term_text":"AK137033"}}AK137033 overexpression plasmid were used to regulate the expression of {"type":"entrez-nucleotide","attrs":{"text":"AK137033","term_id":"74205820","term_text":"AK137033"}}AK137033 in CON‐ASCs and DOP‐ASCs in vitro. Lentiviruses that carried shRNA‐{"type":"entrez-nucleotide","attrs":{"text":"AK137033","term_id":"74205820","term_text":"AK137033"}}AK137033 or {"type":"entrez-nucleotide","attrs":{"text":"AK137033","term_id":"74205820","term_text":"AK137033"}}AK137033 cDNA were used to knockdown or overexpress {"type":"entrez-nucleotide","attrs":{"text":"AK137033","term_id":"74205820","term_text":"AK137033"}}AK137033, respectively, in CON‐ASCs and DOP‐ASCs in vivo. Hematoxylin and eosin (H&E), Masson''s, alizarin red, and alkaline phosphatase (ALP) staining, micro‐computed tomography (Micro‐CT), flow cytometry, qPCR, western blotting, immunofluorescence, and bisulfite‐specific PCR (BSP) were used to analyze the functional changes of ASCs.ResultsThe DOP mouse model was established successfully. Compared with CON‐ASCs, {"type":"entrez-nucleotide","attrs":{"text":"AK137033","term_id":"74205820","term_text":"AK137033"}}AK137033 expression, the DNA methylation level of the sFrp2 promoter region, Wnt signaling pathway markers, and the osteogenic differentiation potential were decreased in DOP‐ASCs. In vitro experiments showed that {"type":"entrez-nucleotide","attrs":{"text":"AK137033","term_id":"74205820","term_text":"AK137033"}}AK137033 silencing inhibited the Wnt signaling pathway and osteogenic ability of CON‐ASCs by reducing the DNA methylation level in the sFrp2 promoter region. Additionally, overexpression of {"type":"entrez-nucleotide","attrs":{"text":"AK137033","term_id":"74205820","term_text":"AK137033"}}AK137033 in DOP‐ASCs rescued these changes caused by DOP. Moreover, the same results were obtained in vivo.ConclusionsLncRNA‐{"type":"entrez-nucleotide","attrs":{"text":"AK137033","term_id":"74205820","term_text":"AK137033"}}AK137033 inhibits the osteogenic potential of DOP‐ASCs by regulating the Wnt signaling pathway via modulating the DNA methylation level in the sFrp2 promoter region. This study provides an important reference to find new targets for the treatment of bone defects in DOP patients.     

Butlerius butleri Goodey, 1929 (Rhabditida) from Iran with the Phylogenetic Position of the Species

A population of Butlerius butleri Goodey, 1929 was isolated from vermicompost in Kerman in the Kerman Province of Iran during a nematode survey that was conducted during 2014. This population of B. butleri is characterized by the presence of a dorsal thorn-like tooth (4 to 5 μm long), long spicules (44 to 47 μm long), gubernaculum (33 to 37 μm or more than half of the spicule length), three pairs of precloacal papillae, five pairs of postcloacal papillae (papillae V3 and V5 comprising three small papillae), and a long filiform tail (304 to 409 μm in females, 312 to 380 μm in males). Molecular and phylogenetic analysis of B. butleri individuals from this Iranian population based on 18S ribosomal deoxyribonucleic acid (rDNA) sequence placed this species close to Pseudodiplogasteroides compositus ({"type":"entrez-nucleotide","attrs":{"text":"AB597237","term_id":"354681824","term_text":"AB597237"}}AB597237) and an unidentified Pseudodiplogasteroides species ({"type":"entrez-nucleotide","attrs":{"text":"AB597238","term_id":"354681825","term_text":"AB597238"}}AB597238). Measurements, illustrations, and the phylogenetic tree, including the position of B. butleri are provided.     

Clostridium difficile Modulates Host Innate Immunity via Toxin-Independent and Dependent Mechanism(s)

Clostridium difficile infection (CDI) is the leading cause of hospital and community-acquired antibiotic-associated diarrhoea and currently represents a significant health burden. Although the role and contribution of C. difficile toxins to disease pathogenesis is being increasingly understood, at present other facets of C. difficile-host interactions, in particular, bacterial-driven effects on host immunity remain less studied. Using an ex-vivo model of infection, we report that the human gastrointestinal mucosa elicits a rapid and significant cytokine response to C. difficile. Marked increase in IFN-γ with modest increase in IL-22 and IL-17A was noted. Significant increase in IL-8 suggested potential for neutrophil influx while presence of IL-12, IL-23, IL-1β and IL-6 was indicative of a cytokine milieu that may modulate subsequent T cell immunity. Majority of C. difficile-driven effects on murine bone-marrow-derived dendritic cell (BMDC) activation were toxin-independent; the toxins were however responsible for BMDC inflammasome activation. In contrast, human monocyte-derived DCs (mDCs) released IL-1β even in the absence of toxins suggesting host-specific mediation. Infected DC-T cell crosstalk revealed the ability of {"type":"entrez-nucleotide","attrs":{"text":"R20291","term_id":"774925","term_text":"R20291"}}R20291 and 630 WT strains to elicit a differential DC IL-12 family cytokine milieu which culminated in significantly greater Th1 immunity in response to {"type":"entrez-nucleotide","attrs":{"text":"R20291","term_id":"774925","term_text":"R20291"}}R20291. Interestingly, both strains induced a similar Th17 response. Elicitation of mucosal IFN-γ/IL-17A and Th1/Th17 immunity to C. difficile indicates a central role for this dual cytokine axis in establishing antimicrobial immunity to CDI.     

Virtual Screening as a Strategy for the Identification of Xenobiotics Disrupting Corticosteroid Action

Background

Impaired corticosteroid action caused by genetic and environmental influence, including exposure to hazardous xenobiotics, contributes to the development and progression of metabolic diseases, cardiovascular complications and immune disorders. Novel strategies are thus needed for identifying xenobiotics that interfere with corticosteroid homeostasis. 11β-hydroxysteroid dehydrogenase 2 (11β-HSD2) and mineralocorticoid receptors (MR) are major regulators of corticosteroid action. 11β-HSD2 converts the active glucocorticoid cortisol to the inactive cortisone and protects MR from activation by glucocorticoids. 11β-HSD2 has also an essential role in the placenta to protect the fetus from high maternal cortisol concentrations.

Methods and Principal Findings

We employed a previously constructed 3D-structural library of chemicals with proven and suspected endocrine disrupting effects for virtual screening using a chemical feature-based 11β-HSD pharmacophore. We tested several in silico predicted chemicals in a 11β-HSD2 bioassay. The identified antibiotic lasalocid and the silane-coupling agent {"type":"entrez-nucleotide","attrs":{"text":"AB110873","term_id":"44885399","term_text":"AB110873"}}AB110873 were found to concentration-dependently inhibit 11β-HSD2. Moreover, the silane {"type":"entrez-nucleotide","attrs":{"text":"AB110873","term_id":"44885399","term_text":"AB110873"}}AB110873 was shown to activate MR and stimulate mitochondrial ROS generation and the production of the proinflammatory cytokine interleukin-6 (IL-6). Finally, we constructed a MR pharmacophore, which successfully identified the silane {"type":"entrez-nucleotide","attrs":{"text":"AB110873","term_id":"44885399","term_text":"AB110873"}}AB110873.

Conclusions

Screening of virtual chemical structure libraries can facilitate the identification of xenobiotics inhibiting 11β-HSD2 and/or activating MR. Lasalocid and {"type":"entrez-nucleotide","attrs":{"text":"AB110873","term_id":"44885399","term_text":"AB110873"}}AB110873 belong to new classes of 11β-HSD2 inhibitors. The silane {"type":"entrez-nucleotide","attrs":{"text":"AB110873","term_id":"44885399","term_text":"AB110873"}}AB110873 represents to the best of our knowledge the first industrial chemical shown to activate MR. Furthermore, the MR pharmacophore can now be used for future screening purposes.     

Genome sequences published outside of Standards in Genomic Sciences, March-April 2012

The purpose of this table is to provide the community with a citable record of publications of ongoing genome sequencing projects that have led to a publication in the scientific literature. While our goal is to make the list complete, there is no guarantee that we may have omitted one or more publications appearing in this time frame. Readers and authors who wish to have publications added to subsequent versions of this list are invited to provide the bibliographic data for such references to the SIGS editorial office.

Phylum Euryarchaeota

• Halococcus hamelinensis, sequence accession PRJNA80845 [1]
• “Methanocella conradii” HZ254, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"CP003243","term_id":"379319823","term_text":"CP003243"}}CP003243 [2]
• Thermococcus litoralis NS-C, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHVB00000000","term_id":"374743520","term_text":"AHVB00000000"}}AHVB00000000 [3]

Phylum Crenarchaeota

• Candidatus Nitrosopumilus salaria” BD31, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AEXL00000000","term_id":"386807666","term_text":"AEXL00000000"}}AEXL00000000 [4]
• Candidatus Nitrosoarchaeum limnia, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHJG00000000","term_id":"367466343","term_text":"AHJG00000000"}}AHJG00000000 [5]

Phylum Deinococcus-Thermus

• Deinococcus gobiensis, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"CP002536","term_id":"324314064","term_text":"CP002536"}}CP002536 [6]

Phylum Proteobacteria

• Aggregatibacter actinomycetemcomitans strain ANH9381, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"CP003099","term_id":"365745154","term_text":"CP003099"}}CP003099 [7]
• Alishewanella jeotgali, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHTH00000000","term_id":"374571619","term_text":"AHTH00000000"}}AHTH00000000 [8]
• Enterobacter aerogenes KCTC 2190, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"CP002824","term_id":"334732565","term_text":"CP002824"}}CP002824 [9]
• Escherichia coli O104:H4, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AFOB02000092","term_id":"340739517","term_text":"AFOB02000092"}}AFOB02000092 [10]
• Helicobacter pylori strains 17874, sequence accession PRJNA76569 [11]
• Helicobacter pylori strains P79, sequence accession PRJNA76567 [11]
• Janthinobacterium sp. Strain PAMC 25724, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHHB00000000","term_id":"372292151","term_text":"AHHB00000000"}}AHHB00000000 [12]
• Klebsiella oxytoca KCTC 1686, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"CP003218","term_id":"365906294","term_text":"CP003218"}}CP003218 [13]
• Klebsiella pneumoniae subsp. pneumoniae HS11286, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"CP003200","term_id":"364515570","term_text":"CP003200"}}CP003200 (chromosome), {"type":"entrez-nucleotide","attrs":{"text":"CP003223","term_id":"365803686","term_text":"CP003223"}}CP003223 (plasmid pKPHS1), {"type":"entrez-nucleotide","attrs":{"text":"CP003224","term_id":"365803828","term_text":"CP003224"}}CP003224 (plasmid pKPHS2), {"type":"entrez-nucleotide","attrs":{"text":"CP003225","term_id":"365803989","term_text":"CP003225"}}CP003225 (plasmid pKPHS3), {"type":"entrez-nucleotide","attrs":{"text":"CP003226","term_id":"365804142","term_text":"CP003226"}}CP003226 (plasmid pKPHS4), {"type":"entrez-nucleotide","attrs":{"text":"CP003227","term_id":"365804147","term_text":"CP003227"}}CP003227 (plasmid pKPHS5), {"type":"entrez-nucleotide","attrs":{"text":"CP003228","term_id":"365804153","term_text":"CP003228"}}CP003228 (plasmid pKPHS6) [14]
• Oceanimonas sp. GK1, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"CP003171","term_id":"372983507","term_text":"CP003171"}}CP003171 [15]
• “Pseudogulbenkiania ferrooxidans” Strain 2002, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"NZ_ACIS01000000","term_id":"224827334","term_text":"ref||NZ_ACIS01000000"}}NZ_ACIS01000000 [16]
• Pseudomonas extremaustralis 14-3b, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHIP00000000","term_id":"371721769","term_text":"AHIP00000000"}}AHIP00000000 [17]
• Pseudomonas sp. Strain PAMC 25886, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHHC00000000","term_id":"372002201","term_text":"AHHC00000000"}}AHHC00000000 [18]
• Psychrobacter, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHVZ00000000","term_id":"375126956","term_text":"AHVZ00000000"}}AHVZ00000000 [19]
• Rahnella sp. Strain Y9602, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"CP002505","term_id":"321165934","term_text":"CP002505"}}CP002505 [20]
• Rhizobium sp. Strain PDO1-076, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHZC00000000","term_id":"375058045","term_text":"AHZC00000000"}}AHZC00000000 [21]
• Rhodospirillum photometricum DSM122, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"HE663493","term_id":"378401447","term_text":"HE663493"}}HE663493 [22]
• “Rickettsia sibirica sibirica”, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHIZ00000000","term_id":"374669031","term_text":"AHIZ00000000"}}AHIZ00000000 [23]
• Rickettsia sibirica subsp. mongolitimonae strain HA-91, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHZB00000000","term_id":"375318263","term_text":"AHZB00000000"}}AHZB00000000 [24]
• Salmonella enterica subsp. enterica Serotype Enteritidis Strain LA5, sequence accession [25]
• Salmonella enterica subsp. enterica Serotype Senftenberg Strain SS209, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"CAGQ00000000","term_id":"379987603","term_text":"CAGQ00000000"}}CAGQ00000000 [26]
• Salmonella enterica subsp. enterica Serovar Typhi P-stx-12, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"CP003278","term_id":"374352002","term_text":"CP003278"}}CP003278 (chromosome) and {"type":"entrez-nucleotide","attrs":{"text":"CP003279","term_id":"374356693","term_text":"CP003279"}}CP003279 (plasmid) [27]
• Sphingomonas echinoides ATCC 14820, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHIR00000000","term_id":"366040205","term_text":"AHIR00000000"}}AHIR00000000 [28]
• Strain HIMB55, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AGIF00000000","term_id":"374304583","term_text":"AGIF00000000"}}AGIF00000000 [29]
• Vibrio harveyi CAIM 1792, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHHQ00000000","term_id":"374671508","term_text":"AHHQ00000000"}}AHHQ00000000 [30]
• Wolbachia Strain wAlbB, sequence accession {"type":"entrez-nucleotide-range","attrs":{"text":"CAGB01000001 to CAGB01000165","start_term":"CAGB01000001","end_term":"CAGB01000165","start_term_id":"371933004","end_term_id":"371931774"}}CAGB01000001 to CAGB01000165 [31]
• Xanthomonas axonopodis pv. punicae Strain LMG 859, sequence accession {"type":"entrez-nucleotide-range","attrs":{"text":"CAGJ01000001 to CAGJ01000217","start_term":"CAGJ01000001","end_term":"CAGJ01000217","start_term_id":"372556075","end_term_id":"372551622"}}CAGJ01000001 to CAGJ01000217 [32]

Phylum Tenericutes

• Mycoplasma hyorhinis Strain GDL-1, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"CP003231","term_id":"367460291","term_text":"CP003231"}}CP003231 [33]

Phylum Firmicutes

• Bacillus subtilis, sequence accession BGSCID 3A27 through BGSCID 28A4 [34]
• Clostridium difficile Strain CD37, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHJJ00000000","term_id":"371930118","term_text":"AHJJ00000000"}}AHJJ00000000 [35]
• Clostridium perfringens, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AFES00000000","term_id":"380306484","term_text":"AFES00000000"}}AFES00000000 [36]
• Lactobacillus fructivorans KCTC 3543, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AEQY00000000","term_id":"316986063","term_text":"AEQY00000000"}}AEQY00000000 [37]
• Lactococcus lactis IO-1, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AP012281","term_id":"374672113","term_text":"AP012281"}}AP012281 [38]
• Lactobacillus plantarum strain NC8, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AGRI00000000","term_id":"376011245","term_text":"AGRI00000000"}}AGRI00000000 [39]
• Paenibacillus dendritiformis C454, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHKH00000000","term_id":"374393106","term_text":"AHKH00000000"}}AHKH00000000 [40]
• Paenibacillus sp. Strain Aloe-11, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AGFI00000000","term_id":"374477730","term_text":"AGFI00000000"}}AGFI00000000 [41]
• “Peptoniphilus rhinitidis” 1-13^T, sequence accession {"type":"entrez-nucleotide-range","attrs":{"text":"BAEW01000001 to BAEW01000056","start_term":"BAEW01000001","end_term":"BAEW01000056","start_term_id":"374722129","end_term_id":"374722074"}}BAEW01000001 to BAEW01000056 [42]
• Streptococcus macedonicus ACA-DC 198, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"HE613569","term_id":"372283141","term_text":"HE613569"}}HE613569 and {"type":"entrez-nucleotide","attrs":{"text":"HE613570","term_id":"372285142","term_text":"HE613570"}}HE613570 [43]
• Staphylococcus aureus VC40, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"CP003033","term_id":"374362062","term_text":"CP003033"}}CP003033 [44]
• Streptococcus infantarius subsp. infantarius Strain CJ18, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"CP003295","term_id":"374681091","term_text":"CP003295"}}CP003295 (chromosome), {"type":"entrez-nucleotide","attrs":{"text":"CP003296","term_id":"374682963","term_text":"CP003296"}}CP003296 (plasmid) [45]
• Streptococcus macedonicus ACA-DC 198, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"HE613569","term_id":"372283141","term_text":"HE613569"}}HE613569 (chromosome), {"type":"entrez-nucleotide","attrs":{"text":"HE613570","term_id":"372285142","term_text":"HE613570"}}HE613570 (plasmid pSMA198) [46]

Phylum Actinobacteria

• Actinoplanes sp. SE50/110, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"CP003170","term_id":"359832573","term_text":"CP003170"}}CP003170 [47]
• Amycolatopsis sp. Strain ATCC 39116, sequence accession [48]
• Nocardia cyriacigeorgica GUH-2, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"FO082843","term_id":"374843763","term_text":"FO082843"}}FO082843 [49]
• Salinibacterium sp., sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHWA00000000","term_id":"375323651","term_text":"AHWA00000000"}}AHWA00000000 [50]
• Streptomyces acidiscabies 84-104, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AHBF00000000","term_id":"372137622","term_text":"AHBF00000000"}}AHBF00000000 [51]

Non-Bacterial genomes

• Bluetongue Virus Serotype 2, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AJ783905","term_id":"70907482","term_text":"AJ783905"}}AJ783905 (Seg-6) and {"type":"entrez-nucleotide","attrs":{"text":"JQ681257","term_id":"383932043","term_text":"JQ681257"}}JQ681257 (Seg-1), {"type":"entrez-nucleotide","attrs":{"text":"JQ681257","term_id":"383932043","term_text":"JQ681257"}}JQ681257 (Seg-1), {"type":"entrez-nucleotide","attrs":{"text":"JQ681258","term_id":"383932045","term_text":"JQ681258"}}JQ681258 (Seg-2), {"type":"entrez-nucleotide","attrs":{"text":"JQ681259","term_id":"383932047","term_text":"JQ681259"}}JQ681259 (Seg-3), {"type":"entrez-nucleotide","attrs":{"text":"JQ681260","term_id":"383932049","term_text":"JQ681260"}}JQ681260 (Seg-4), {"type":"entrez-nucleotide","attrs":{"text":"JQ681261","term_id":"383932051","term_text":"JQ681261"}}JQ681261 (Seg-5), {"type":"entrez-nucleotide","attrs":{"text":"JQ681262","term_id":"383932053","term_text":"JQ681262"}}JQ681262 (Seg-7), JQ6812563 (Seg-8), JQ6812564 (Seg-9), to {"type":"entrez-nucleotide","attrs":{"text":"JQ681265","term_id":"383932059","term_text":"JQ681265"}}JQ681265 (Seg-10) [52]
• Virus Serotype 1, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"AJ585111","term_id":"118420282","term_text":"AJ585111"}}AJ585111 (Seg-2), {"type":"entrez-nucleotide","attrs":{"text":"AJ586659","term_id":"47826214","term_text":"AJ586659"}}AJ586659 (Seg-6), {"type":"entrez-nucleotide","attrs":{"text":"JQ282770","term_id":"383215071","term_text":"JQ282770"}}JQ282770 (Seg-1), {"type":"entrez-nucleotide","attrs":{"text":"JQ282771","term_id":"383215073","term_text":"JQ282771"}}JQ282771 (Seg-3), {"type":"entrez-nucleotide","attrs":{"text":"JQ282772","term_id":"383215075","term_text":"JQ282772"}}JQ282772 (Seg-4), {"type":"entrez-nucleotide","attrs":{"text":"JQ282773","term_id":"383215077","term_text":"JQ282773"}}JQ282773 (Seg-5), {"type":"entrez-nucleotide","attrs":{"text":"JQ282774","term_id":"383215079","term_text":"JQ282774"}}JQ282774 (Seg-7), {"type":"entrez-nucleotide","attrs":{"text":"JQ282775","term_id":"383215081","term_text":"JQ282775"}}JQ282775 (Seg-8), {"type":"entrez-nucleotide","attrs":{"text":"JQ282776","term_id":"383215083","term_text":"JQ282776"}}JQ282776 (Seg-9), and {"type":"entrez-nucleotide","attrs":{"text":"JQ282777","term_id":"383215085","term_text":"JQ282777"}}JQ282777 (Seg-10) [52]
• Chloroplast genome of Erycina pusilla, sequence accession JF_746994 [53]
• Danio rerio, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"JQ434101","term_id":"384872525","term_text":"JQ434101"}}JQ434101 [54]
• Enterococcal Bacteriophage SAP6, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"JF731128","term_id":"343411857","term_text":"JF731128"}}JF731128 [55]
• Eubenangee virus, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"JQ070376","term_id":"383513837","term_text":"JQ070376"}}JQ070376 through {"type":"entrez-nucleotide","attrs":{"text":"JQ070385","term_id":"383513855","term_text":"JQ070385"}}JQ070385 [56]
• Fujian/411-like viruses, sequence accession {"type":"entrez-nucleotide-range","attrs":{"text":"CY087969 to CY088568","start_term":"CY087969","end_term":"CY088568","start_term_id":"380506411","end_term_id":"380507803"}}CY087969 to CY088568 [57]
• Hantavirus Variant of Rio Mamoré Virus, Maripa Virus, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"JQ611712","term_id":"384382977","term_text":"JQ611712"}}JQ611712 (segment S), {"type":"entrez-nucleotide","attrs":{"text":"JQ611713","term_id":"384382979","term_text":"JQ611713"}}JQ611713 (segment M), and {"type":"entrez-nucleotide","attrs":{"text":"JQ611714","term_id":"384382981","term_text":"JQ611714"}}JQ611714 (segment L) [58]
• Pata virus, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"JQ070386","term_id":"383513857","term_text":"JQ070386"}}JQ070386 through {"type":"entrez-nucleotide","attrs":{"text":"JQ070395","term_id":"383513875","term_text":"JQ070395"}}JQ070395 [59]
• Porcine Circovirus 2, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"JQ413808","term_id":"383215164","term_text":"JQ413808"}}JQ413808 [60]
• Porcine Reproductive and Respiratory Syndrome Virus, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"JQ326271","term_id":"382929416","term_text":"JQ326271"}}JQ326271 [61]
• Streptococcus mutans Phage M102AD, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"DQ386162","term_id":"88698119","term_text":"DQ386162"}}DQ386162 [62]
• Tilligery virus, sequence accession {"type":"entrez-nucleotide","attrs":{"text":"JQ070366","term_id":"383513817","term_text":"JQ070366"}}JQ070366 through {"type":"entrez-nucleotide","attrs":{"text":"JQ070375","term_id":"383513835","term_text":"JQ070375"}}JQ070375 [63]