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At least 235 records · Page 13Linked to original sources

Phylogenetic analysis of Fusobacterium necrophorum, Fusobacterium varium and Fusobacterium nucleatum based on gyrB gene sequences.

The nucleotide sequences of the DNA gyrase B subunit gene (gyrB) of Fusobacterium necrophorum subsp. necrophorum, F. necrophorum subsp. funduliforme and F. varium were determined and analyzed together with those of F. nucleatum subsp. nucleatum and F. nucleatum subsp. vincentii. On the phylogenetic tree constructed, the strains of each fusobacterial species formed distinct clusters with deep sublines. The degree of sequence similarity within each cluster was 93.2% or more, whereas similarities between clusters ranged from 70.1 to 72.7%. These clusters were recovered with 100% bootstrap probabilities and are in very good agreement with the species of Fusobacterium. These data suggest that gyrB is an accurate genealogical marker for the classification of the fusobacterial taxa considered in this study.

Base Sequence↗

Amino acid sequence of a Ca(2+)-transporting ATPase from the sarcoplasmic reticulum of the cross-striated part of the adductor muscle of the deep sea scallop: comparison to serca enzymes of other animals.

The RT PCR approach was used to obtain the nucleotide sequence of the mRNA of a sarco/endoplasmic reticulum calcium transporting ATPase (SERCA) from the cross-striated (phasic) part of the adductor muscle of the deep sea scallop. Initially, degenerate primers based on consensus sequences among SERCAs and tryptic fragments of the scallop Ca-ATPase were used. The sequence was then extended using homologous primers and the 5' and 3' ends of the transcript determined by 5' and 3' RACE. The mRNA codes for a polypeptide chain 994 amino acid residues long (coded for by 2982 nucleotides) and has a 195 bp 5' untranslated region, with a 697 bp 3' untranslated region. The scallop enzyme shows strongest amino acid similarity to the SERCA enzyme of Loligo, followed by those of Drosophila and Artemia. It resembles the vertebrate SERCA3 in that it does not possess the phospholamban binding motif and so is unlikely to be regulated by protein kinase A mediated signals.

Amino Acid Sequence↗

Magnetic resonance imaging characteristics of paraffinomas and siliconomas after mammoplasty.

BACKGROUND AND PURPOSE: Breast paraffinomas and siliconomas are granulomas caused by tissue reaction to paraffin oil and silicone injection after mammoplasty. These granulomas usually present as multiple hard masses that mimic breast cancer. Mammography and sonography have only a limited role in differentiating these masses. Magnetic resonance (MR) imaging findings of these granulomas have rarely been reported. This study evaluated the MR imaging manifestations of these granulomas. MATERIALS AND METHODS: MR imaging, mammography, and sonography were used to examine 58 breasts in 29 women with breast lumps who had undergone mammoplasty with injections of paraffin oil (n = 8) or liquid silicone (n = 50). The protocol included T1-weighted images (T1WI), fat-suppressed (FS) T2WI, post-contrast FS three-dimensional fast dynamic sequences, and FS T1WI. RESULTS: Deep structures of the 58 breasts could not be clearly evaluated by sonography or mammography. Two types of MR imaging characteristics were identified: type I lesions were hypointense on T2WI and type II lesions had mixed hypointense and hyperintense components on T2WI. Both showed intermediate intensity on T1WI and revealed no enhancement on post-contrast dynamic sequences and FS T1WI. Type II lesions were seen only in siliconomas. Mastectomy was performed on seven breasts and paraffinomas or siliconomas were confirmed by pathology. When correlating MR images with pathology, hypointense lesions on T2WI in both type I and II lesions were foreign body granulomas with fibrosis and calcification. Hyperintense lesions on T2WI in type II were liquid silicone. A case of infiltrating ductal carcinoma was found in one breast in which MR imaging was successful in identifying the strongly enhanced solitary tumor from a background of type I lesions of paraffinomas preoperatively. Of the 51 breasts that did not receive surgery, no breast cancers were detected clinically or by follow-up imaging after a median of 27 months (19-54 mo). CONCLUSIONS: Breast paraffinomas and siliconomas after mammoplasty have specific MR findings that are distinct from those of breast cancers. MR imaging is superior to sonography and mammography in the evaluation of breast paraffinomas and siliconomas.

Adult↗

Genomic insights from a deeply phenotyped highly consanguineous neurodevelopmental disorders cohort.

PURPOSE: The genetic underpinning of neurodevelopmental disorders (NDDs) in diverse ethnic populations, especially those with high rates of consanguinity, remains largely unexplored. Here, we aim to elucidate genomic insight from 576 well-phenotyped and highly consanguineous (16%) NDD cohort. METHODS: We used chromosomal microarray (CMA; N:247), exome sequencing (ES; N:127), combined CMA and ES (N:202), and long-read genome sequencing to identify genetic etiology. Deep clinical multivariate data were coupled with genomic variants for stratification analysis. RESULTS: Genetic diagnosis rates were 17% with CMA, 29.92% with ES, and 37.13% with combined CMA and ES. Notably, children of consanguineous parents showed a significantly higher diagnostic yield (P < .01) compared to those from nonconsanguineous parents. Among the ES-identified pathogenic variants, 36.19% (38/105) were novel, implicating 35 unique genes. Long-read sequencing of seizure participants unresolved by combined test identified expanded FMR1 trinucleotide repeats. Additionally, we identified 2 recurrent X-linked variants in the G6PD in 3.65% (12/329) of NDD participants. These variants were absent in large-population control cohorts and cohort comprising neurodevelopmental and neuropsychiatric populations of European descendants, indicating a possible associated risk factor potentially resulting from ancient genetic drift. CONCLUSION: This study unveils unique clinical and genomic insights from a consanguinity rich Bangladeshi NDD cohort.

Humans↗

Characterization of non-crossover recombination spectrum by single-microspore sequencing in maize and rice.

Meiotic DNA double-strand breaks (DSB) are crucial for chromosome recombination. The repair of DSB gives two outcomes: crossover (CO) and non-crossover (NCO). CO involves the bidirectional exchange between homologous chromosomes, whereas NCO refers to the unidirectional transfer of chromosome fragments. NCO can be categorized into NCO with gene conversion and NCO without gene conversion. Due to technological constraints, previous studies have focused more on CO than on NCO. In this study, we isolated single microspores from meiotic tetrads of maize (Zea mays) and rice (Oryza sativa) and conducted deep single-microspore genome sequencing to characterize NCO gene conversion (NCO-GC). Under highly stringent conditions, 101 CO and 902 NCO-GC tracts were identified in four maize tetrads, while 173 CO and 279 NCO-GC tracts were identified in six rice tetrads. In both maize and rice, NCO-GC was more prone to occur in the upstream and downstream of genes, as well as the introns. It also had a significant distribution in transposon regions. A common A-rich motif was enriched in the NCO-GC tracts of maize and rice. GC-biased gene conversion (gBGC) likely contributed to the bimodality of the GC content at the third codon position (GC3), and we discovered a significant proportional relationship between the number of DSBs and the GC content. These findings provide evidence that NCO-GC exhibits a distinct pattern compared with CO and may play an important role in gene and genome evolution.

Oryza↗

More for less in structural genomics.

Structural genomics is the idea of covering protein space so that every protein sequence comes within model building distance of a protein of known structure. Unfortunately, reproducing the structural alignment of distantly related proteins is a difficult challenge to existing sequence alignment and motif search software. We have developed a new transitive alignment algorithm (MaxFlow), which generates accurate alignments between proteins deep in the twilight zone of sequence similarity, below 20% sequence identity. In particular, MaxFlow reliably identifies conserved core motifs between proteins which are only indirect PSI-Blast neighbours. Based on MaxFlow alignments, useful 3D models can be generated for all members of a superfamily from as few as a single structural template--despite hundreds of representatives at 40% sequence identity level and patchy detection of homology by PSI-Blast. We propose novel strategies for target prioritization using MaxFlow scores to predict the optimal templates in a superfamily. Our results support an increase in the granularity of covering protein space that has potentially enormous economic implications for planning the transition to the full production phase of structural genomics.

Algorithms↗

High throughput direct end sequencing of BAC clones.

Libraries constructed in bacterial artificial chromosome (BAC) vectors have become the choice for clone sets in high throughput genomic sequencing projects primarily because of their high stability. BAC libraries have been proposed as a source for minimally over-lapping clones for sequencing large genomic regions, and the use of BAC end sequences (i.e. sequences adjoining the insert sites) has been proposed as a primary means for selecting minimally overlapping clones for sequencing large genomic regions. For this strategy to be effective, high throughput methods for BAC end sequencing of all the clones in deep coverage BAC libraries needed to be developed. Here we describe a low cost, efficient, 96 well procedure for BAC end sequencing. These methods allow us to generate BAC end sequences from human and Arabidoposis libraries with an average read length of >450 bases and with a single pass sequencing average accuracy of >98%. Application of BAC end sequences in genomic sequen-cing is discussed.

Arabidopsis↗

Genomic and transcriptomic characterization of genes expressed at 20&#xa0;MPa by the marine actinobacterium Kocuria flava.

A marine hydrocarbonoclastic actinobacterium Kocuria flava IOS11 was isolated from 3500&#xa0;m deep-sea water of the Indian Ocean. The isolate efficiently degraded phenanthrene (250&#xa0;mg/L) achieving 82 and 98% of degradation at 0.1&#xa0;MPa and 20&#xa0;MPa, respectively within a period of 5&#xa0;days. Whole genome, transcriptomee and metabolomic analysis elucidated its phenanthrene biodegradation efficiency under in situ deep-sea conditions. The genome sequence comprises 3.47&#xa0;Mb distributed across 88 scaffolds with a high GC content of 74.30%. The genome analysis encoded 3126 genes including 3052 protein coding sequences with functional annotation identifying a broad array of genes associated with PAHs degradation, environmental stress adaptation, biosurfactant and siderophore synthesis. Transcriptome profiling under 0.1 and 20&#xa0;MPa conditions with phenanthrene as a sole carbon source revealed enhanced expression of hydrocarbon degrading genes, transporters, biosurfactant associated enzymes and stress responsive genes including integrases, DNA repair protein Rad, alanine ligase, heat and cold shock proteins under high pressure conditions underscoring the deep-sea adaptation capabilities of the strain. The degradation pathway of phenanthrene was proposed through integrated genome, transcriptome and metabolomic analysis. These studies provided K. flava IOS11 as a metabolically versatile and pressure adapted bacterium with promising potential for bioremediation application in extreme marine environment.

Transcriptome↗

ITS sequence data support a single origin for North American Astereae (Asteraceae) and reflect deep geographic divisions in Aster s.l.

The Astereae is the largest tribe of Asteraceae in North America. Morphological diversity suggests that the North American assemblage is polyphyletic as 12 endemic genera, as well as lineages of the genus Erigeron and Conyza (Conyzinae), have been hypothesized to represent at least five separate invasions of North America from Africa, Australia, Eurasia, and South America. This hypothesis was tested with a phylogenetic analysis of nucleotide sequence data from the internal transcribed spacers (ITS) of nuclear ribosomal DNA. Sequences for 62 taxa represent seven outgroup taxa and all major Northern and Southern Hemisphere groups of Astereae, including broad taxonomic and geographic sampling of Conyzinae and Aster s.l. (sensu lato). Parsimony analyses indicate that all North American Astereae are members of a strongly supported clade, and that a diverse group of predominantly woody taxa from Africa, Australia, and South America, are basal Astereae. Furthermore, Aster s.l. is deeply polyphyletic as Eurasian taxa, including Aster s.s. (sensu stricto), appear more closely related to Southern Hemisphere taxa than to North American Aster segregates. There is only low to moderate agreement between proposed higher level Astereae relationships based on ITS and those based either on morphology or chloroplast restriction site data.

Journal Article↗

Predicting residue-wise contact orders in proteins by support vector regression.

BACKGROUND: The residue-wise contact order (RWCO) describes the sequence separations between the residues of interest and its contacting residues in a protein sequence. It is a new kind of one-dimensional protein structure that represents the extent of long-range contacts and is considered as a generalization of contact order. Together with secondary structure, accessible surface area, the B factor, and contact number, RWCO provides comprehensive and indispensable important information to reconstructing the protein three-dimensional structure from a set of one-dimensional structural properties. Accurately predicting RWCO values could have many important applications in protein three-dimensional structure prediction and protein folding rate prediction, and give deep insights into protein sequence-structure relationships. RESULTS: We developed a novel approach to predict residue-wise contact order values in proteins based on support vector regression (SVR), starting from primary amino acid sequences. We explored seven different sequence encoding schemes to examine their effects on the prediction performance, including local sequence in the form of PSI-BLAST profiles, local sequence plus amino acid composition, local sequence plus molecular weight, local sequence plus secondary structure predicted by PSIPRED, local sequence plus molecular weight and amino acid composition, local sequence plus molecular weight and predicted secondary structure, and local sequence plus molecular weight, amino acid composition and predicted secondary structure. When using local sequences with multiple sequence alignments in the form of PSI-BLAST profiles, we could predict the RWCO distribution with a Pearson correlation coefficient (CC) between the predicted and observed RWCO values of 0.55, and root mean square error (RMSE) of 0.82, based on a well-defined dataset with 680 protein sequences. Moreover, by incorporating global features such as molecular weight and amino acid composition we could further improve the prediction performance with the CC to 0.57 and an RMSE of 0.79. In addition, combining the predicted secondary structure by PSIPRED was found to significantly improve the prediction performance and could yield the best prediction accuracy with a CC of 0.60 and RMSE of 0.78, which provided at least comparable performance compared with the other existing methods. CONCLUSION: The SVR method shows a prediction performance competitive with or at least comparable to the previously developed linear regression-based methods for predicting RWCO values. In contrast to support vector classification (SVC), SVR is very good at estimating the raw value profiles of the samples. The successful application of the SVR approach in this study reinforces the fact that support vector regression is a powerful tool in extracting the protein sequence-structure relationship and in estimating the protein structural profiles from amino acid sequences.

Algorithms↗

Endometrial carcinoma in adenomyosis: assessment of myometrial invasion on T2-weighted spin-echo and gadolinium-enhanced T1-weighted images.

OBJECTIVE: The aim of our study was to compare T2-weighted and contrast-enhanced dynamic T1-weighted images with histologic findings in assessing the depth of myometrial invasion by endometrial carcinoma in adenomyosis. MATERIALS AND METHODS: We retrospectively reviewed the MRIs of 11 patients who had a total of 12 lesions of endometrial carcinoma within adenomyosis. T2-weighted and contrast-enhanced dynamic T1-weighted images were compared with the histologic findings separately. We assessed the extent of myometrial invasion by endometrial carcinomas. The depth of myometrial invasion seen on MRI was classified as stage S (superficial invasion), stage D (deep invasion), or undetectable. The staging accuracies of each sequence were assessed. The tumor-myometrium contrast-to-noise ratios were calculated for each sequence. RESULTS: The histologic specimens revealed that myometrial invasion was deep in seven of 12 lesions and superficial in five. On T2-weighted images the depth of invasion was underestimated in two lesions and impossible to determine in five lesions. On dynamic T1-weighted images the depth of invasion was overestimated in one lesion and underestimated in one lesion. The staging accuracy on dynamic T1-weighted images (83%) was significantly higher than that on T2-weighted images (42%). The contrast-to-noise ratio was significantly higher on dynamic T1-weighted studies during the early phase (mean +/- SD, 2.68 +/- 0.94) than it was on T2-weighted studies (1.74 +/- 1.05) and during the delayed phase (2.01 +/- 0.86). CONCLUSION: When adenomyosis coexists with endometrial cancer at the same site on T2-weighted images, contrast-enhanced dynamic T1-weighted imaging improves the accuracy of staging.

Adult↗

Agaricus section Xanthodermatei: a phylogenetic reconstruction with commentary on taxa.

Agaricus section Xanthodermatei comprises a group of species allied to A. xanthodermus and generally characterized by basidiomata having phenolic odors, transiently yellowing discolorations in some parts of the basidiome, Schaeffer's reaction negative, and mild to substantial toxicity. The section has a global distribution, while most included species have distributions restricted to regions of single continents. Using specimens and cultures from Europe, North America, and Hawaii, we analyzed DNA sequences from the ITS1+2 region of the nuclear rDNA to identify and characterize phylogenetically distinct entities and to construct a hypothesis of relationships, both among members of the section and with representative taxa from other sections of the genus. 61 sequences from affiliated taxa, plus 20 from six (or seven) other sections of Agaricus, and one Micropsalliota sequence, were evaluated under distance, maximum parsimony and maximum likelihood methods. We recognized 21 discrete entities in Xanthodermatei, including 14 established species and 7 new ones, three of which are described elsewhere. Four species from California, New Mexico, and France deserve further study before they are described. Type studies of American taxa are particularly emphasized, and a lectotype is designated for A. californicus. Section Xanthodermatei formed a single clade in most analyses, indicating that the traditional sectional characters noted above are good unifying characters that appear to have arisen only once within Agaricus. Deep divisions within the sequence-derived structure of the section could be interpreted as subsections in Xanthodermatei; however, various considerations led us to refrain from proposing new supraspecific taxa. The nearest neighbors of section Xanthodermatei are putatively in section Duploannulati.

Agaricus↗

Ecosystem rooting depth determined with caves and DNA.

Belowground vertical community composition and maximum rooting depth of the Edwards Plateau of central Texas were determined by using DNA sequence variation to identify roots from caves 5-65 m deep. Roots from caves were identified by comparing their DNA sequences for the internal transcribed spacer (ITS) region of the 18S-26S ribosomal DNA repeat against a reference ITS database developed for woody plants of the region. Sequencing the ITS provides, to our knowledge, the first universal method for identifying plant roots. At least six tree species in the system grew roots deeper than 5 m, but only the evergreen oak, Quercus fusiformis, was found below 10 m. The maximum rooting depth for the ecosystem was approximately 25 m. (18)O isotopic signatures for stem water of Q. fusiformis confirmed water uptake from 18 m underground. The availability of resources at depth, coupled with small surface pools of water and nutrients, may explain the occurrence of deep roots in this and other systems.

Base Sequence↗

Interspecific and geographical variation in the sequence of rDNA expansion segment D3 of Ixodes ticks (Acari: Ixodidae).

The base sequence of the rDNA D3 expansion segment and flanking H14 stem varies between six species of Ixodes ticks (Acari: Ixodidae) where only 33 invariant sites occur among sequences of 123-203 bases in length. Multiple copies of D3 were sequenced from localities across the geographical ranges of four species to investigate deep population genetic structure. Two species, I. pacificus, from western North America, and I. ricinus, from Europe, have no sequence variation indicating a lack of deep genetic structure. One species, I. scapularis, from eastern North America has two forms of the D3 sequence that are distributed differently among northern vs. southern populations, suggesting recent divergence and hybridization. I. persulcatus, from Eurasia, has sequence variation between localities of the order of that observed between other species, suggesting a long history of population isolation and deep genetic structure. With the exception of I. scapularis, sequence variation was not observed within localities. This indicates that cellular processes underpinning concerted evolution have homogenized populations and species for particular rDNA sequence variants.

Animals↗

Effects of legacy nuclear waste on the compositional diversity and distributions of sulfate-reducing bacteria in a terrestrial subsurface aquifer.

The impact of legacy nuclear waste on the compositional diversity and distribution of sulfate-reducing bacteria in a heavily contaminated subsurface aquifer was examined. dsrAB clone libraries were constructed and restriction fragment length polymorphism (RFLP) analysis used to evaluate genetic variation between sampling wells. Principal component analysis identified nickel, nitrate, technetium, and organic carbon as the primary variables contributing to well-to-well geochemical variability, although comparative sequence analysis showed the sulfate-reducing bacteria community structure to be consistent throughout contaminated and uncontaminated regions of the aquifer. Only 3% of recovered dsrAB gene sequences showed apparent membership to the Deltaproteobacteria. The remainder of recovered sequences may represent novel, deep-branching lineages that, to our knowledge, do not presently contain any cultivated members; although corresponding phylotypes have recently been reported from several different marine ecosystems. These findings imply resiliency and adaptability of sulfate-reducing bacteria to extremes in environmental conditions, although the possibility for horizontal transfer of dsrAB is also discussed.

DNA, Bacterial↗

Phylogenetic relationships among Zygomycetes from soil based on ITS1/2 rDNA sequences.

New information was obtained on the phylogeny of Zygomycetes. PCR-RFLP analysis showed ITS1/2 rDNA to provide appropriate markers for genetic studies on Zygomycetes at the population and species levels. The use of several restriction enzymes allowed discrimination between genera and species of Mortierellales and Mucorales. ITS1/2 sequence analysis clearly indicated a deep, ancient and distinct dichotomy of Mortierellales and Mucorales. The data do not fully support the current concept of Mucorales, which recently included the family Umbelopsidaceae, but support the distinctiveness of the Umbelopsis group, which includes Mortierella turficola. The data support the hypothesis of polyphyly of Absidia and are consistent with the hypothesis of polyphyly of Mucor.

DNA, Fungal↗

Digging deep for ancient relics: a survey of protein motifs in the intergenic sequences of four eukaryotic genomes.

We have examined conserved protein motifs in the non-coding, intergenic regions ("pseudomotif patterns") and surveyed their occurrence in the fly, worm, yeast and human genomes (chromosomes 21 and 22 only). To identify these patterns, we masked out annotated genes, pseudogenes and repeat regions from the raw genomic sequence and then compared the remaining sequence, in six-frame translation, against 1319 patterns from the PROSITE database. For each pseudomotif pattern, the absolute number of occurrences is not very informative unless compared against a statistical expectation; consequently, we calculated the expected occurrence of each pattern using a Poisson model and verified this with simulations. Using a p-value cut-off of 0.01, we found 67 pseudomotif patterns over-represented in fly intergenic regions, 34 in worm, 21 in human and six in yeast. These include the zinc finger, leucine zipper, nucleotide-binding motif and EGF domain. Many of the over-represented patterns were common to two or more organisms, but there were a few that were unique to specific ones. Furthermore, we found more over-represented patterns in the fly than in the worm, although the fly has fewer pseudogenes. This puzzling observation can be explained by a higher deletion rate in the fly genome. We also surveyed under-represented patterns, finding 23 in the fly, 12 in the worm, 18 in human and two in yeast. If intergenic sequences were truly random, we would expect an equal number of over and under-represented patterns. The fact that for each organism the number of over-represented patterns is greater than the number of under-represented ones implies that a fraction of the intergenic regions consist of ancient protein fragments that, due to accumulated disablements, have become unrecognizable by conventional techniques for gene and pseudogene identification. Moreover, we find that in aggregate the over-represented pseudomotif patterns occupy a substantial fraction of the intergenic regions. Further information is available at http://pseudogene.org

Amino Acid Motifs↗

Evolutionary correlation between control region sequence and restriction polymorphisms in the mitochondrial genome of a large Senegalese Mandenka sample.

We present here the first comparative analysis at the population level between Restriction Fragment Length Polymorphism (RFLP) and control region sequence polymorphism in a large and homogeneous Senegalese Mandenka sample. Eleven RFLP haplotypes and 60 different sequences are found in 119 individuals, revealing that a very high level of mtDNA diversity can be maintained in a small population. A sequence neighbor-joining tree and an analysis of molecular variance show that sequences associated with a given restriction haplotype are evolutionarily highly correlated: sequencing generally leads to the subtyping of RFLP haplotypes. Evolutionary relationships among RFLP haplotypes inferred from restriction site differences are in good agreement with those inferred from sequence data. A single difference is observed and is likely due to a single restriction homoplasy having occurred in the control region. Selective neutrality tests on both RFLP and sequence data accept the hypotheses of mtDNA neutrality and population equilibrium. The deep coalescence times (exceeding 50,000 yr) of sequences associated with the two most frequent restriction haplotypes confirm that the Niokolo Mandenka population has not passed through a recent bottleneck and that gene flow is maintained among West African populations despite ethnic differences.

Base Sequence↗