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Masoud Heidari Hamid Gharshasbi Alireza Isazadeh Morteza Soleyman-Nejad Mohammad Hossein Taskhiri Javad Shapouri Manzar Bolhassani Nahid Sadighi Mansour Heidari 《Current Genomics》2021,22(3):232
Background Polycystic kidney disease (PKD) is an autosomal recessive disorder resulting from mutations in the PKHD1 gene on chromosome 6 (6p12), a large gene spanning 470 kb of genomic DNA.ObjectiveThe aim of the present study was to report newly identified mutations in the PKHD1 gene in two Iranian families with PKD.Materials and Methods Genetic alterations of a 3-month-old boy and a 27-year-old girl with PKD were evaluated using whole-exome sequencing. The PCR direct sequencing was performed to analyse the co-segregation of the variants with the disease in the family. Finally, the molecular function of the identified novel mutations was evaluated by in silico study. ResultsIn the 3 month-old boy, a novel homozygous frameshift mutation was detected in the PKHD1 gene, which can cause PKD. Moreover, we identified three novel heterozygous missense mutations in ATIC, VPS13B, and TP53RK genes. In the 27-year-old woman, with two recurrent abortions history and two infant mortalities at early weeks due to metabolic and/or renal disease, we detected a novel missense mutation on PKHD1 gene and a novel mutation in ETFDH gene.Conclusion In general, we have identified two novel mutations in the PKHD1 gene. These molecular findings can help accurately correlate genotype and phenotype in families with such disease in order to reduce patient births through preoperative genetic diagnosis or better management of disorders. 相似文献
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Stein LD Bao Z Blasiar D Blumenthal T Brent MR Chen N Chinwalla A Clarke L Clee C Coghlan A Coulson A D'Eustachio P Fitch DH Fulton LA Fulton RE Griffiths-Jones S Harris TW Hillier LW Kamath R Kuwabara PE Mardis ER Marra MA Miner TL Minx P Mullikin JC Plumb RW Rogers J Schein JE Sohrmann M Spieth J Stajich JE Wei C Willey D Wilson RK Durbin R Waterston RH 《PLoS biology》2003,1(2):E45
The soil nematodes Caenorhabditis briggsae and Caenorhabditis elegans diverged from a common ancestor roughly 100 million years ago and yet are almost indistinguishable by eye. They have the same chromosome number and genome sizes, and they occupy the same ecological niche. To explore the basis for this striking conservation of structure and function, we have sequenced the C. briggsae genome to a high-quality draft stage and compared it to the finished C. elegans sequence. We predict approximately 19,500 protein-coding genes in the C. briggsae genome, roughly the same as in C. elegans. Of these, 12,200 have clear C. elegans orthologs, a further 6,500 have one or more clearly detectable C. elegans homologs, and approximately 800 C. briggsae genes have no detectable matches in C. elegans. Almost all of the noncoding RNAs (ncRNAs) known are shared between the two species. The two genomes exhibit extensive colinearity, and the rate of divergence appears to be higher in the chromosomal arms than in the centers. Operons, a distinctive feature of C. elegans, are highly conserved in C. briggsae, with the arrangement of genes being preserved in 96% of cases. The difference in size between the C. briggsae (estimated at approximately 104 Mbp) and C. elegans (100.3 Mbp) genomes is almost entirely due to repetitive sequence, which accounts for 22.4% of the C. briggsae genome in contrast to 16.5% of the C. elegans genome. Few, if any, repeat families are shared, suggesting that most were acquired after the two species diverged or are undergoing rapid evolution. Coclustering the C. elegans and C. briggsae proteins reveals 2,169 protein families of two or more members. Most of these are shared between the two species, but some appear to be expanding or contracting, and there seem to be as many as several hundred novel C. briggsae gene families. The C. briggsae draft sequence will greatly improve the annotation of the C. elegans genome. Based on similarity to C. briggsae, we found strong evidence for 1,300 new C. elegans genes. In addition, comparisons of the two genomes will help to understand the evolutionary forces that mold nematode genomes. 相似文献
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Detailed studies of individual genes have shown that gene expression divergence often results from adaptive evolution of regulatory sequence. Genome-wide analyses, however, have yet to unite patterns of gene expression with polymorphism and divergence to infer population genetic mechanisms underlying expression evolution. Here, we combined genomic expression data—analyzed in a phylogenetic context—with whole genome light-shotgun sequence data from six Drosophila simulans lines and reference sequences from D. melanogaster and D. yakuba. These data allowed us to use molecular population genetics to test for neutral versus adaptive gene expression divergence on a genomic scale. We identified recent and recurrent adaptive evolution along the D. simulans lineage by contrasting sequence polymorphism within D. simulans to divergence from D. melanogaster and D. yakuba. Genes that evolved higher levels of expression in D. simulans have experienced adaptive evolution of the associated 3′ flanking and amino acid sequence. Concomitantly, these genes are also decelerating in their rates of protein evolution, which is in agreement with the finding that highly expressed genes evolve slowly. Interestingly, adaptive evolution in 5′ cis-regulatory regions did not correspond strongly with expression evolution. Our results provide a genomic view of the intimate link between selection acting on a phenotype and associated genic evolution. 相似文献
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The complete genome sequence and comparative genome analysis of the high pathogenicity Yersinia enterocolitica strain 8081
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Thomson NR Howard S Wren BW Holden MT Crossman L Challis GL Churcher C Mungall K Brooks K Chillingworth T Feltwell T Abdellah Z Hauser H Jagels K Maddison M Moule S Sanders M Whitehead S Quail MA Dougan G Parkhill J Prentice MB 《PLoS genetics》2006,2(12):e206
The human enteropathogen, Yersinia enterocolitica, is a significant link in the range of Yersinia pathologies extending from mild gastroenteritis to bubonic plague. Comparison at the genomic level is a key step in our understanding of the genetic basis for this pathogenicity spectrum. Here we report the genome of Y. enterocolitica strain 8081 (serotype 0:8; biotype 1B) and extensive microarray data relating to the genetic diversity of the Y. enterocolitica species. Our analysis reveals that the genome of Y. enterocolitica strain 8081 is a patchwork of horizontally acquired genetic loci, including a plasticity zone of 199 kb containing an extraordinarily high density of virulence genes. Microarray analysis has provided insights into species-specific Y. enterocolitica gene functions and the intraspecies differences between the high, low, and nonpathogenic Y. enterocolitica biotypes. Through comparative genome sequence analysis we provide new information on the evolution of the Yersinia. We identify numerous loci that represent ancestral clusters of genes potentially important in enteric survival and pathogenesis, which have been lost or are in the process of being lost, in the other sequenced Yersinia lineages. Our analysis also highlights large metabolic operons in Y. enterocolitica that are absent in the related enteropathogen, Yersinia pseudotuberculosis, indicating major differences in niche and nutrients used within the mammalian gut. These include clusters directing, the production of hydrogenases, tetrathionate respiration, cobalamin synthesis, and propanediol utilisation. Along with ancestral gene clusters, the genome of Y. enterocolitica has revealed species-specific and enteropathogen-specific loci. This has provided important insights into the pathology of this bacterium and, more broadly, into the evolution of the genus. Moreover, wider investigations looking at the patterns of gene loss and gain in the Yersinia have highlighted common themes in the genome evolution of other human enteropathogens. 相似文献
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Begun DJ Holloway AK Stevens K Hillier LW Poh YP Hahn MW Nista PM Jones CD Kern AD Dewey CN Pachter L Myers E Langley CH 《PLoS biology》2007,5(11):e310
The population genetic perspective is that the processes shaping genomic variation can be revealed only through simultaneous investigation of sequence polymorphism and divergence within and between closely related species. Here we present a population genetic analysis of Drosophila simulans based on whole-genome shotgun sequencing of multiple inbred lines and comparison of the resulting data to genome assemblies of the closely related species, D. melanogaster and D. yakuba. We discovered previously unknown, large-scale fluctuations of polymorphism and divergence along chromosome arms, and significantly less polymorphism and faster divergence on the X chromosome. We generated a comprehensive list of functional elements in the D. simulans genome influenced by adaptive evolution. Finally, we characterized genomic patterns of base composition for coding and noncoding sequence. These results suggest several new hypotheses regarding the genetic and biological mechanisms controlling polymorphism and divergence across the Drosophila genome, and provide a rich resource for the investigation of adaptive evolution and functional variation in D. simulans. 相似文献
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damo Davi Digenes Siena Isabela Ichihara de Barros Camila Baldin Storti Carlos Alberto Oliveira de Biagi Júnior Larissa Anastacio da Costa Carvalho Silvya Stuchi MariaEngler Josane de Freitas Sousa Wilson Araújo Silva Jr 《Journal of cellular and molecular medicine》2022,26(3):671
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 (ENSG00000230454) and decided to explore its effects in melanoma. For that, we silenced the lncRNA 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 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 U73166. Also, we retrieved data from the literature that indicates lncRNA 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 U73166 in metastasis development. We also pointed herein the lncRNA U73166 as a new possible biomarker or target to help overcome clinical vemurafenib resistance. U73166相似文献
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Background Mycobacterium ulcerans is the fundamental agent of the third most common Mycobacterial disease known as Buruli Ulcer (BU). It is an infection of the skin and soft tissue affecting the human population worldwide. Presently, the vaccine is not available against BU.ObjectiveThis study aimed to investigate the vaccine potential of virulence proteins of M. ulcerans computationally.MethodsChromosome encoded virulence proteins of Mycobacterium ulcerans strain Agy99 were selected, which were available at the VFDB database. These proteins were analyzed for their subcellular localization, antigenicity, and human non-homology analysis. Ten virulence factors were finally chosen and analyzed for further study. Three-dimensional structures for selected proteins were predicted using Phyre2. B cell and T cell epitope analysis was done using methods available at Immune Epitope Database and Analysis Resource. Antigenicity, allergenicity, and toxicity analysis were also done to predict epitopes. Molecular docking analysis was done for T cell epitopes, those showing overlap with B cell epitopes.ResultsSelected virulence proteins were predicted with B cell and T cell epitopes. Some of the selected proteins were found to be already reported as antigenic in other mycobacteria. Some of the predicted epitopes also had similarities with experimentally identified epitopes of M. ulcerans and M. tuberculosis which further supported our predictions.ConclusionIn-silico approach used for the vaccine candidate identification predicted some virulence proteins that could be proved important in future vaccination strategies against this chronic disease. Predicted epitopes require further experimental validation for their potential use as peptide vaccines. 相似文献
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Barbara R. Hough-Evans Marcelo Jacobs-Lorena Michael R. Cummings Roy J. Britten Eric H. Davidson 《Genetics》1980,95(1):81-94
Comparative measurements are presented of the sequence complexity of the RNA stored in the eggs of two dipteran flies, Musca domestica and Drosophila melanogaster. The genome of Musca is about five times the size of the Drosophila genome and contains about 3.6 times as much single-copy sequence. As shown earlier, the interspersion of repetitive and single-copy sequence is of the short-period form in Musca, and is of the long-period form in Drosophila. The egg RNA complexities were determined by hybridization of excess RNA with radioactively labeled single-copy DNA. Complexity is expressed as the length (in nucleotides) of diverse single-copy sequence represented in the RNA. The complexity of the RNA of the Musca egg is about 2.4 x 107 nucleotides, and that of the Drosophila egg is about 1.2 x 107 nucleotides. The RNA of the Musca egg is similar to or very slightly lower in complexity than that of other egg RNAs, e.g., those of Xenopus and sea urchin. Compared to all previously measured egg RNAs, Drosophila egg RNA is low in sequence complexity. 相似文献
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Lavanya Rishishwar Lee S. Katz Nitya V. Sharma Lori Rowe Michael Frace Jennifer Dolan Thomas Brian H. Harcourt Leonard W. Mayer I. King Jordan 《Journal of bacteriology》2012,194(20):5649-5656
Containment strategies for outbreaks of invasive Neisseria meningitidis disease are informed by serogroup assays that characterize the polysaccharide capsule. We sought to uncover the genomic basis of conflicting serogroup assay results for an isolate () from a patient with acute meningococcal disease. To this end, we characterized the complete genome sequence of the M16917 isolate and performed a variety of comparative sequence analyses against N. meningitidis reference genome sequences of known serogroups. Multilocus sequence typing and whole-genome sequence comparison revealed that M16917 is a member of the ST-11 sequence group, which is most often associated with serogroup C. However, sequence similarity comparisons and phylogenetic analysis showed that the serogroup diagnostic capsule polymerase gene (synD) of M16917 belongs to serogroup B. These results suggest that a capsule-switching event occurred based on homologous recombination at or around the capsule locus of M16917. Detailed analysis of this locus uncovered the locations of recombination breakpoints in the M16917 genome sequence, which led to the introduction of an ∼2-kb serogroup B sequence cassette into the serogroup C genomic background. Since there is no currently available vaccine for serogroup B strains of N. meningitidis, this kind capsule-switching event could have public health relevance as a vaccine escape mutant. M16917相似文献
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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 Crenarchaeota
- Pyrobaculum strain 1860, sequence accession [ CP0030981]
Phylum Deinococcus-Thermus
- “Thermus sp.” Strain CCB_US3_UF1, sequence accession (chromosome), CP003126 (plasmid) [ CP0031272]
Phylum Proteobacteria
- “Achromobacter arsenitoxydans” SY8, sequence accession [ AGUF000000003]
- Acidovorax sp. Strain NO1, sequence accession [ AGTS000000004]
- Acinetobacter baumannii AB4857, sequence accession [ AHAG000000005]
- Acinetobacter baumannii AB5075, sequence accession [ AHAH000000005]
- Acinetobacter baumannii AB5256, sequence accession [ AHAI000000005]
- Acinetobacter baumannii AB5711, sequence accession [ AHAJ000000005]
- Aeromonas salmonicida, sequence accession [ AGVO000000006]
- Aggregatibacter actinomycetemcomitans RHAA1, sequence accession [ AHGR000000007]
- Agrobacterium tumefaciens 5A, sequence accession [ AGVZ000000008]
- Azoarcus sp. Strain KH32C, sequence accession , AP012304 [ AP0123059]
- Burkholderia sp. Strain YI23, sequence accession (Chromosome 1), CP003087 (Chromosome 2), CP003088 (Chromosome 3), CP003089 (plasmid BYI23_D), CP003090 (plasmid BYI23_E) CP003091 (plasmid BYI23_F) [ CP00309210]
- Brucella suis VBI22, sequence accession , CP003128 [ CP00312911]
- Comamonas testosteroni ATCC 11996, sequence accession [ AHIL0000000012]
- “Commensalibacter intestini” A911T, sequence accession [ AGFR0000000013]
- Edwardsiella ictaluri, sequence accession [ CP001600.114]
- Enterobacter cloacae subsp. dissolvens SDM, sequence accession [ AGSY0000000015]
- “Gluconobacter morbifer” G707T, sequence accession [ AGQV0000000016]
- Legionella dumoffii TEX-KL, sequence accession [ AGVT0000000017]
- Legionella dumoffii NY-23, sequence accession [ AGVU0000000017]
- Legionella pneumophila serogroup 12 Strain 570-CO-H, sequence accession [ CP00319218]
- Marinobacterium stanieri S30, sequence accession [ AFPL0000000019]
- “Marinobacter manganoxydans” MnI7-9, sequence accession [ CP001978 to CP00198020]
- Mesorhizobium alhagi CCNWXJ12-2T, sequence accession [ AHAM0000000021]
- Mesorhizobium amorphae, sequence accession [ AGSN0000000022]
- Methylomicrobium alcaliphilum 20Z, sequence accession and FO082060 [ FO08206123]
- Mitsuaria sp. Strain H24L5A, sequence accession [ CAFG01000001 to CAFG0100060724]
- Novosphingobium pentaromativorans US6-1, sequence accession [ AGFM0000000025]
- Pantoea ananatis B1-9, sequence accession [ CAEI01000001 to CAEI0100016926]
- Pantoea ananatis LMG 5342, sequence accession (chromosome), HE617160 (pPANA10) [ HE61716127]
- Pantoea ananatis Strain PA13, sequence accession and CP003085 [ CP00308628]
- Pseudomonas aeruginosa, sequence accession [ AFXI0000000029]
- Pseudomonas aeruginosa, sequence accession [ AFXJ0000000029]
- Pseudomonas aeruginosa, sequence accession [ AFXK0000000029]
- Pseudomonas chlororaphis GP72, sequence accession [ AHAY0100000030]
- Pseudomonas fluorescens F113, sequence accession [ CP00315031]
- Pseudomonas fluorescens Wayne 1R, sequence accession [ CADX01000001 to CADX0100009032]
- Pseudomonas fluorescens Wood1R, sequence accession to CAFF01000001 [ CAFF0100143732]
- Pseudomonas psychrotolerans L19, sequence accession [ AHBD0000000033]
- Pseudoalteromonas rubra ATCC 29570T, sequence accession [ AHCD0000000034]
- Pseudomonas stutzeri SDM-LAC, sequence accession [ AGSX0000000035]
- Pseudoxanthomonas spadix BD-a59, sequence accession [ CP00309336]
- Rickettsia slovaca, sequence accession [ CP00242837]
- Salmonella enterica serovar Pullorum RKS5078, sequence accession [ CP00304738]
- Sinorhizobium meliloti CCNWSX0020, sequence accession [ AGVV0000000039]
- Sphingobium sp. Strain SYK-6, sequence accession and AP012222 [ AP01222340]
- Sphingomonas sp. Strain PAMC 26605, sequence accession [ AHIS0000000041]
- Stenotrophomonas maltophilia RR-10, sequence accession [ AGRB0000000042]
- Strain HIMB30, sequence accession [ AGIG0000000043]
- Taylorella equigenitalis, sequence accession [ CP00305944]
- Vibrio campbellii DS40M4, sequence accession [ AGIE0000000045]
- Vibrio fischeri SR5, sequence accession [ AHIH0000000046]
- Yersinia enterocolitica, sequence accession [ AGQO0000000047]
Phylum Tenericutes
- Candidatus Mycoplasma haemominutum, sequence accession [ HE61325448]
- Mycoplasma haemocanis strain Illinois, sequence accession [ CP00319949]
- Mycoplasma iowae, sequence accession [ AGFP0000000050]
- Mycoplasma pneumoniae Type 2a Strain 309, sequence accession [ AP01230351]
Phylum Firmicutes
- Bacillus cereus F837/76, sequence accession (chromosome) CP003187 (pF837_55kb), CP003188 (pF837_10kb) [ CP00318952]
- Brevibacillus laterosporus Strain GI-9, sequence accession [ CAGD01000001 to CAGD0100006153]
- Clostridium sporogenes PA 3679, sequence accession [ AGAH0000000054]
- Enterococcus mundtii CRL1656, sequence accession [ AFWZ00000000.155]
- Geobacillus thermoleovorans CCB_US3_UF5, sequence accession [ CP00312556]
- Lactobacillus curvatus Strain CRL705, sequence accession [ AGBU0100000057]
- Lactobacillus rhamnosus ATCC 8530, sequence accession [ CP00309458]
- Lactobacillus rhamnosus R0011, sequence accession [ AGKC0000000059]
- Lactococcus garvieae TB25, sequence accession [ AGQX0100000060]
- Lactococcus garvieae LG9, sequence accession [ AGQY0100000060]
- Lactococcus lactis subsp. cremoris A76, sequence accession (chromosome), CP003132 (pQA505), CP003136 (PQA518), CP003135 (pQA549), CP003134 (pQA554) [ CP00313361]
- Leuconostoc citreum LBAE C10, sequence accession [ CAGE0000000062]
- Leuconostoc citreum LBAE C11, sequence accession [ CAGF0000000062]
- Leuconostoc citreum LBAE E16, sequence accession [ CAGG0000000062]
- Leuconostoc mesenteroides subsp. mesenteroides Strain J18, sequence accession [ CP00310163]
- Paenibacillus peoriae Strain KCTC 3763T, sequence accession [ AGFX0000000064]
- Pediococcus acidilactici MA18/5M, sequence accession [ AGKB0000000065]
- Pediococcus claussenii ATCC BAA-344T, sequence accession (chromosome), CP003137 (pPECL-1), CP003138 (pPECL-2), CP003139 (pPECL-3), CP003140 (pPECL-4), CP003141 (pPECL-5), CP003142 (pPECL-6), CP003143 (pPECL-7), CP003144 (pPECL-8) [ CP00314566]
- Staphylococcus aureus M013, sequence accession [ CP00316667]
- Staphylococcus aureus subsp. aureus TW20, sequence accession [ FN43359668]
- Weissella confusa LBAE C39-2, sequence accession [ CAGH0000000069]
Phylum Actinobacteria
- Corynebacterium casei, sequence accession [ CAFW01000001 to CAFW0100010670]
- Corynebacterium glutamicum, sequence accession [ AGQQ0000000071]
- Leucobacter chromiiresistens, sequence accession [ AGCW0000000072]
- Mycobacterium abscessus, sequence accession [ AGQU0000000073]
- Propionibacterium acnes ST9, sequence accession [ CP00319574]
- Propionibacterium acnes ST22, sequence accession [ CP00319674]
- Propionibacterium acnes ST27, sequence accession [ CP00319774]
- Saccharomonospora azurea SZMC 14600, sequence accession [ AHBX0000000075]
- Streptomyces sp. Strain TOR3209, sequence accession [ AGNH0000000076]
- Streptomyces sp. Strain W007, sequence accession [ AGSW0000000077]
Phylum Spirochaetes
- Borrelia valaisiana VS116, sequence accession (chromosome), ABCY02000001 (plasmid Ip17), CP001439 (Ip25), CP001437 (plasmid Ip 28-3), CP001440 (plasmid Ip28-8), CP001442 (Ip 36), CP001436 (plasmid Ip 54), CP001433 (plasmid cp9), CP001438 (plasmid cp26), CP001432 (plasmid cp32-5), CP001441 (plasmid cp32-7), CP001434 (plasmid cp32-10) [ CP00143578]
- “Borrelia bissettii” DN127, sequence accession (chromosome), CP002746 (plasmid Ip12), CP002756 (plasmid Ip25), CP002757 (plasmid 28-3), CP002758 (plasmid Ip 28-4), CP002759 (Ip28-7), CP002760 (plasmid Ip54), CP002761 (plasmid Ip56), CP002762 (plasmid cp9), CP002755 (plasmid cp26), CP002747 (plasmid cp32-3), CP002749 (plasmid cp32-4), CP002750 (plasmid 32-5), CP002751 (plasmid cp32-6), CP002752 (plasmid cp32-7), CP0027554 (plasmid cp32-9), CP002753 (plasmid cp32-11) [ CP00274878]
- Borrelia spielmanii A14S, sequence accession (chromosome), ABKB02000001 (plasmid Ip17), CP001468 (Ip28-3), CP001471 (plasmid Ip28-4), CP001470 (plasmid Ip28-2), CP001465 (plasmid Ip36), CP001466 (plasmid Ip38), CP001464 (plasmid Ip54), CP001469, ABKB02000016 (plasmid cp9), ABKB02000020 (plasmid cp26), CP001467 (plasmid cp32-3), ABKB02000026 (plasmid 32-5), ABKB02000031 (plasmid cp32-12), ABKB02000021 (unidentified) [ ABKB0200001478]
Non-Bacterial genomes
- Aspergillus flavus, sequence accession [ GSE3217779]
- Bacteriophage SPN3UB, sequence accession [ JQ28802180]
- Bamboo mitochondria, sequence accession [ JQ235166 to JQ23517981]
- Boea hygrometrica chloroplast, sequence accession [ JN10781182]
- Boea hygrometrica mitochondrial, sequence accession [ JN10781282]
- Canine Picornavirus, sequence accession [ JN83135683]
- Chandipura virus (CHPV) CIN0327, sequence accession [ GU212856.184]
- Chandipura virus (CHPV) CIN0451, sequence accession [ GU212857.184]
- Chandipura virus (CHPV) CIN0751, sequence accession [ GU212858.184]
- Chandipura virus (CHPV) CIN0755, sequence accession [ GU190711.184]
- Chinese Porcine Parvovirus Strain PPV2010, sequence accession [ JN87244885]
- Common midwife toad megavirus, sequence accession [ JQ23122286]
- Dengue Virus Serotype 4, sequence accession [ JN98381387]
- Duck Tembusu Virus, sequence accession [ JF27048088]
- Duck Tembusu Virus, sequence accession [ JQ31446488]
- Duck Tembusu Virus, sequence accession [ JQ31446588]
- Emiliania huxleyi Virus 202, sequence accession [ HQ63414589]
- Emiliania huxleyi Virus EhV-88, sequence accession [ JF97431089]
- Emiliania huxleyi EhV-201, sequence accession [ JF97431189]
- Emiliania huxleyi EhV-207, sequence accession [ JF97431789]
- Emiliania huxleyi EhV-208, sequence accession [ JF97431889]
- Glarea lozoyensis, sequence accession GUE00000000 [90]
- Nannochloropis gaditana, sequence accession [ AGNI0000000091]
- Oryza sativa cv., sequence accession DRA000499 [92]
- Partetravirus, sequence accession [ JN99026993]
- Porcine Bocavirus PBoV5, sequence accession [ JN83165194]
- Porcine epidemic diarrhea virus, sequence accession [ JQ28290995]
- Pseudomonas aeruginosa lytic bacteriophage PA1Ø, sequence accession [ HM62408096]
- Pseudomonas fluorescens phage OBP, sequence accesssion [ JN62716097]
- RNA Virus from Avocado, sequence accession [ JN88041498]
- Salmonella enterica Serovar Typhimurium Bacteriophage SPN1S, sequence accession [ JN39118099]
- Schistosoma haematobium, sequence accession PRJNA78265 [100]
- Schistosoma mansoni, sequence accession [ ERP00038101]
- Stenopirates sp., sequence accession [ JN100019102]
- T7-Like Virus, sequence accession [ JN651747103]
- Vibrio harveyi siphophage VHS1, sequence accession [ JF713456104]
- Tyrolean ice man, sequence accession ERP001144 [105]
20.
Sara Planamente Osman Salih Eleni Manoli David Albesa‐Jové Paul S Freemont Alain Filloux 《The EMBO journal》2016,35(15):1613-1627
The type VI secretion system (T6SS) is a supra‐molecular bacterial complex that resembles phage tails. It is a killing machine which fires toxins into target cells upon contraction of its TssBC sheath. Here, we show that TssA1 is a T6SS component forming dodecameric ring structures whose dimensions match those of the TssBC sheath and which can accommodate the inner Hcp tube. The TssA1 ring complex binds the T6SS sheath and impacts its behaviour in vivo. In the phage, the first disc of the gp18 sheath sits on a baseplate wherein gp6 is a dodecameric ring. We found remarkable sequence and structural similarities between TssA1 and gp6 C‐termini, and propose that TssA1 could be a baseplate component of the T6SS. Furthermore, we identified similarities between TssK1 and gp8, the former interacting with TssA1 while the latter is found in the outer radius of the gp6 ring. These observations, combined with similarities between TssF and gp6N‐terminus or TssG and gp53, lead us to propose a comparative model between the phage baseplate and the T6SS. 相似文献