Scholarly Works, Fralin Life Sciences Institute

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3,4-Dihydroxyphenylacetaldehyde synthase and cuticle formation in insects
Liao, Chenghong; Liang, Jing; Han, Qian; Li, Jianyong (2018-06-02)
Cuticle is the most important structure that protects mosquitoes and other insect species from adverse environmental conditions and infections of microorganism. The physiology and biochemistry of insect cuticle formation have been studied for many years and our understanding of cuticle formation and hardening has increased considerably. This is especially true for flexible cuticle. The recent discovery of a novel enzyme that catalyzes the production of 3,4-dihydroxyphenylacetaldehyde (DOPAL) in insects provides intriguing insights concerning the flexible cuticle formation in insects. For convenience, the enzyme that catalyzes the production DOPAL from L-dopa is named DOPAL synthase. In this mini-review, we summarize the biochemical pathways of cuticle formation and hardening in general and discuss DOPAL synthase-mediated protein crosslinking in insect flexible cuticle in particular.
Abscisic Acid: A Novel Nutraceutical for Glycemic Control
Zocchi, Elena; Hontecillas, Raquel; Leber, Andrew; Einerhand, Alexandra; Carbo, Adria; Bruzzone, Santina; Tubau-Juni, Nuria; Philipson, Noah; Zoccoli-Rodriguez, Victoria; Sturla, Laura; Bassaganya-Riera, Josep (Frontiers, 2017-06-13)
Abscisic acid is naturally present in fruits and vegetables, and it plays an important role in managing glucose homeostasis in humans. According to the latest U.S. dietary survey, about 92% of the population might have a deficient intake of ABA due to their deficient intake of fruits and vegetables. This review summarizes the in vitro, preclinical, mechanistic, and human translational findings obtained over the past 15 years in the study of the role of ABA in glycemic control. In 2007, dietary ABA was first reported to ameliorate glucose tolerance and obesity-related inflammation in mice. The most recent findings regarding the topic of ABA and its proposed receptor lanthionine synthetase C-like 2 in glycemic control and their interplay with insulin and glucagon-like peptide-1 suggest a major role for ABA in the physiological response to a glucose load in humans. Moreover, emerging evidence suggests that the ABA response might be dysfunctional in diabetic subjects. Follow on intervention studies in healthy individuals show that low-dose dietary ABA administration exerts a beneficial effect on the glycemia and insulinemia profiles after oral glucose load. These recent findings showing benefits in humans, together with extensive efficacy data in mouse models of diabetes and inflammatory disease, suggest the need for reference ABA values and its possible exploitation of the glycemia-lowering effects of ABA for preventative purposes. Larger clinical studies on healthy, prediabetic, and diabetic subjects are needed to determine whether addressing the widespread dietary ABA deficiency improves glucose control in humans.
Abstracts from the 3rd Conference on Aneuploidy and Cancer: Clinical and Experimental Aspects
Cornish-Bowden, Athel; Rasnick, David; Heng, Henry H.; Horne, Steven; Abdallah, Batoul; Liu, Guo; Ye, Christine J.; Bloomfield, Mathew; Vincent, Mark D.; Aldaz, C. M.; Karlsson, Jenny; Valind, Anders; Jansson, Caroline; Gisselsson, David; Graves, Jennifer A. M.; Stepanenko, Aleksei A.; Andreieva, Svitlana V.; Korets, Kateryna V.; Mykytenko, Dmytro O.; Huleyuk, Nataliya L.; Baklaushev, Vladimir P.; Kovaleva, Oksana A.; Chekhonin, Vladimir P.; Vassetzky, Yegor S.; Avdieiev, Stanislav S.; Bakker, Bjorn; Taudt, Aaron S.; Belderbos, Mirjam E.; Porubsky, David; Spierings, Diana C. J.; de Jong, Tristan V.; Halsema, Nancy; Kazemier, Hinke G.; Hoekstra-Wakker, Karina; Bradley, Allan; de Bont, Eveline S. J. M.; van den Berg, Anke; Guryev, Victor; Lansdorp, Peter M.; Tatché, Maria C.; Foijer, Floris; Liehr, Thomas; Baudoin, Nicolaas C.; Nicholson, Joshua M.; Soto, Kimberly; Quintanilla, Isabel; Camps, Jordi; Cimini, Daniela; Dürrbaum, M.; Donnelly, N.; Passerini, V.; Kruse, C.; Habermann, B.; Storchová, Z.; Mandrioli, Daniele; Belpoggi, Fiorella; Silbergeld, Ellen K.; Perry, Melissa J.; Skotheim, Rolf I.; Løvf, Marthe; Johannessen, Bjarne; Hoff, Andreas M.; Zhao, Sen; SveeStrømme, Jonas M.; Sveen, Anita; Lothe, Ragnhild A.; Hehlmann, R.; Voskanyan, A.; Fabarius, A.; Böcking, Alfred; Biesterfeld, Stefan; Berynskyy, Leonid; Börgermann, Christof; Engers, Rainer; Dietz, Josef; Fritz, A.; Sehgal, N.; Vecerova, J.; Stojkovicz, B.; Ding, H.; Page, N.; Tye, C.; Bhattacharya, S.; Xu, J.; Stein, G.; Stein, J.; Berezney, R.; Gong, Xue; Grasedieck, Sarah; Swoboda, Julian; Rücker, Frank G.; Bullinger, Lars; Pollack, Jonathan R.; Roumelioti, Fani-Marlen; Chiourea, Maria; Raftopoulou, Christina; Gagos, Sarantis; Duesberg, Peter; Bloomfield, Mathew; Hwang, Sunyoung; Gustafsson, Hans T.; O’Sullivan, Ciara; Acevedo-Colina, Aracelli; Huang, Xinhe; Klose, Christian; Schevchenko, Andrej; Dickson, Robert C.; Cavaliere, Paola; Dephoure, Noah; Torres, Eduardo M.; Stampfer, Martha R.; Vrba, Lukas; LaBarge, Mark A.; Futscher, Bernard; Garbe, James C.; Trinh, Andrew L.; Zhou, Yi-Hong; Digman, Michelle (2017-06-22)
Accuracy of epidemiological inferences based on publicly available information: retrospective comparative analysis of line lists of human cases infected with influenza A(H7N9) in China
Lau, Eric H. Y.; Zheng, Jiandong; Tsang, Tim K.; Liao, Qiaohong; Lewis, Bryan L.; Brownstein, John S.; Sanders, Sharon; Wong, Jessica Y.; Mekaru, Sumiko R.; Rivers, Caitlin; Wu, Peng; Jiang, Hui; Li, Yu; Yu, Jianxing; Zhang, Qian; Chang, Zhaorui; Liu, Fengfeng; Peng, Zhibin; Leung, Gabriel M.; Feng, Luzhao; Cowling, Benjamin J.; Yu, Hongjie (2014-05-28)
Background Appropriate public health responses to infectious disease threats should be based on best-available evidence, which requires timely reliable data for appropriate analysis. During the early stages of epidemics, analysis of ‘line lists’ with detailed information on laboratory-confirmed cases can provide important insights into the epidemiology of a specific disease. The objective of the present study was to investigate the extent to which reliable epidemiologic inferences could be made from publicly-available epidemiologic data of human infection with influenza A(H7N9) virus. Methods We collated and compared six different line lists of laboratory-confirmed human cases of influenza A(H7N9) virus infection in the 2013 outbreak in China, including the official line list constructed by the Chinese Center for Disease Control and Prevention plus five other line lists by HealthMap, Virginia Tech, Bloomberg News, the University of Hong Kong and FluTrackers, based on publicly-available information. We characterized clinical severity and transmissibility of the outbreak, using line lists available at specific dates to estimate epidemiologic parameters, to replicate real-time inferences on the hospitalization fatality risk, and the impact of live poultry market closure. Results Demographic information was mostly complete (less than 10% missing for all variables) in different line lists, but there were more missing data on dates of hospitalization, discharge and health status (more than 10% missing for each variable). The estimated onset to hospitalization distributions were similar (median ranged from 4.6 to 5.6 days) for all line lists. Hospital fatality risk was consistently around 20% in the early phase of the epidemic for all line lists and approached the final estimate of 35% afterwards for the official line list only. Most of the line lists estimated >90% reduction in incidence rates after live poultry market closures in Shanghai, Nanjing and Hangzhou. Conclusions We demonstrated that analysis of publicly-available data on H7N9 permitted reliable assessment of transmissibility and geographical dispersion, while assessment of clinical severity was less straightforward. Our results highlight the potential value in constructing a minimum dataset with standardized format and definition, and regular updates of patient status. Such an approach could be particularly useful for diseases that spread across multiple countries.
Accurate human microsatellite genotypes from high-throughput resequencing data using informed error profiles
Highnam, Gareth; Franck, Christopher T.; Martin, Andy; Stephens, Calvin; Puthige, Ashwin; Mittelman, David (Oxford University Press, 2013-01)
Repetitive sequences are biologically and clinically important because they can influence traits and disease, but repeats are challenging to analyse using short-read sequencing technology. We present a tool for genotyping microsatellite repeats called RepeatSeq, which uses Bayesian model selection guided by an empirically derived error model that incorporates sequence and read properties. Next, we apply RepeatSeq to high-coverage genomes from the 1000 Genomes Project to evaluate performance and accuracy. The software uses common formats, such as VCF, for compatibility with existing genome analysis pipelines. Source code and binaries are available at http://github.com/adaptivegenome/repeatseq.
Accurate Strand-Specific Quantification of Viral RNA
Plaskon, Nicole E.; Adelman, Zach N.; Myles, Kevin M. (PLOS, 2009-10-22)
The presence of full-length complements of viral genomic RNA is a hallmark of RNA virus replication within an infected cell. As such, methods for detecting and measuring specific strands of viral RNA in infected cells and tissues are important in the study of RNA viruses. Strand-specific quantitative real-time PCR (ssqPCR) assays are increasingly being used for this purpose, but the accuracy of these assays depends on the assumption that the amount of cDNA measured during the quantitative PCR (qPCR) step accurately reflects amounts of a specific viral RNA strand present in the RT reaction. To specifically test this assumption, we developed multiple ssqPCR assays for the positive-strand RNA virus o'nyong-nyong (ONNV) that were based upon the most prevalent ssqPCR assay design types in the literature. We then compared various parameters of the ONNV-specific assays. We found that an assay employing standard unmodified virus-specific primers failed to discern the difference between cDNAs generated from virus specific primers and those generated through false priming. Further, we were unable to accurately measure levels of ONNV (−) strand RNA with this assay when higher levels of cDNA generated from the (+) strand were present. Taken together, these results suggest that assays of this type do not accurately quantify levels of the anti-genomic strand present during RNA virus infectious cycles. However, an assay permitting the use of a tag-specific primer was able to distinguish cDNAs transcribed from ONNV (−) strand RNA from other cDNAs present, thus allowing accurate quantification of the anti-genomic strand. We also report the sensitivities of two different detection strategies and chemistries, SYBR® Green and DNA hydrolysis probes, used with our tagged ONNV-specific ssqPCR assays. Finally, we describe development, design and validation of ssqPCR assays for chikungunya virus (CHIKV), the recent cause of large outbreaks of disease in the Indian Ocean region.
ADAM: Analysis of Discrete Models of Biological Systems Using Computer Algebra
Hinkelmann, Franziska; Brandon, Madison; Guang, Bonny; McNeill, Rustin; Blekherman, Grigoriy; Veliz-Cuba, Alan; Laubenbacher, Reinhard C. (2011-07-20)
Background Many biological systems are modeled qualitatively with discrete models, such as probabilistic Boolean networks, logical models, Petri nets, and agent-based models, to gain a better understanding of them. The computational complexity to analyze the complete dynamics of these models grows exponentially in the number of variables, which impedes working with complex models. There exist software tools to analyze discrete models, but they either lack the algorithmic functionality to analyze complex models deterministically or they are inaccessible to many users as they require understanding the underlying algorithm and implementation, do not have a graphical user interface, or are hard to install. Efficient analysis methods that are accessible to modelers and easy to use are needed. Results We propose a method for efficiently identifying attractors and introduce the web-based tool Analysis of Dynamic Algebraic Models (ADAM), which provides this and other analysis methods for discrete models. ADAM converts several discrete model types automatically into polynomial dynamical systems and analyzes their dynamics using tools from computer algebra. Specifically, we propose a method to identify attractors of a discrete model that is equivalent to solving a system of polynomial equations, a long-studied problem in computer algebra. Based on extensive experimentation with both discrete models arising in systems biology and randomly generated networks, we found that the algebraic algorithms presented in this manuscript are fast for systems with the structure maintained by most biological systems, namely sparseness and robustness. For a large set of published complex discrete models, ADAM identified the attractors in less than one second. Conclusions Discrete modeling techniques are a useful tool for analyzing complex biological systems and there is a need in the biological community for accessible efficient analysis tools. ADAM provides analysis methods based on mathematical algorithms as a web-based tool for several different input formats, and it makes analysis of complex models accessible to a larger community, as it is platform independent as a web-service and does not require understanding of the underlying mathematics.
Adaptive Imaging Cytometry to Estimate Parameters of Gene Networks Models in Systems and Synthetic Biology
Ball, David A.; Lux, Matthew W.; Adames, Neil R.; Peccoud, Jean (PLOS, 2014-09-11)
The use of microfluidics in live cell imaging allows the acquisition of dense time-series from individual cells that can be perturbed through computer-controlled changes of growth medium. Systems and synthetic biologists frequently perform gene expression studies that require changes in growth conditions to characterize the stability of switches, the transfer function of a genetic device, or the oscillations of gene networks. It is rarely possible to know a priori at what times the various changes should be made, and the success of the experiment is unknown until all of the image processing is completed well after the completion of the experiment. This results in wasted time and resources, due to the need to repeat the experiment to fine-tune the imaging parameters. To overcome this limitation, we have developed an adaptive imaging platform called GenoSIGHT that processes images as they are recorded, and uses the resulting data to make real-time adjustments to experimental conditions. We have validated this closed-loop control of the experiment using galactose-inducible expression of the yellow fluorescent protein Venus in Saccharomyces cerevisiae. We show that adaptive imaging improves the reproducibility of gene expression data resulting in more accurate estimates of gene network parameters while increasing productivity ten-fold.
Advancing livestock genomics education and research in developing countries using strategies from the Virginia Tech PREP and IMSD training programs
Smith, Edward J. (2019-07-11)
Our unique and impactful research and education program plan includes distinct activities that target three overlapping phases of each trainee’s tenure, which we define as the “moving in,” “moving through,” and “moving out” phases. During the “moving in” phase, 8 trainees “who need a PREP” will be recruited and assigned to mentors using our proven strategy that is “scholar-driven” and combines mentor qualities such as prior experience, which has resulted in a 98% retention for each of our 3 funding cycles. $409,537 annually or ~2.1 Million for five years. our successful interdisciplinary Initiative for Maximizing Student Development (IMSD) program for pre-doctoral (graduate) and pre-baccalaureate (undergraduate) students from groups underrepresented in careers in the biomedical and behavioral sciences. Our training program is a partnership with departments and interdisciplinary graduate programs which takes advantage of Virginia Tech’s (VT) history of excellence in Engineering and the Behavioral and Life Sciences. With lessons learned in the last eight years, we will continue to recruit across disciplines and from diverse geographic areas and institutions. From the first cycle, 2007-12, a total of 23 pre-doctoral students participated in the VT IMSD program. A total of 16 (or 69.5%) have completed and received the PhD degree; Total Year 1: $467,489.
Aedes aegypti sialokinin facilitates mosquito blood feeding and modulates host immunity and vascular biology
Martin-Martin, Ines; Leon, Paola Carolina Valenzuela; Amo, Laura; Shrivastava, Gaurav; Iniguez, Eva; Aryan, Azadeh; Brooks, Steven; Kojin, Bianca B.; Williams, Adeline E.; Bolland, Silvia; Ackerman, Hans; Adelman, Zach N.; Calvo, Eric (Cell Press, 2022-04-12)
Saliva from mosquitoes contains vasodilators that antagonize vasoconstrictors produced at the bite site. Sialokinin is a vasodilator present in the saliva of Aedes aegypti. Here, we investigate its function and describe its mechanism of action during blood feeding. Sialokinin induces nitric oxide release similar to substance P. Sialokinin-KO mosquitoes produce lower blood perfusion than parental mosquitoes at the bite site during probing and have significantly longer probing times, which result in lower blood feeding success. In contrast, there is no difference in feeding between KO and parental mosquitoes when using artificial membrane feeders or mice that are treated with a substance P receptor antagonist, confirming that sialokinin interferes with host hemostasis via NK1R signaling. While sialokinin-KO saliva does not affect virus infection in vitro, it stimulates macrophages and inhibits leukocyte recruitment in vivo. This work highlights the biological functionality of salivary proteins in blood feeding.
Age-related variations in the methylome associated with gene expression in human monocytes and T cells
Reynolds, Lindsay M.; Taylor, Jackson R.; Ding, Jingzhong; Lohman, Kurt; Johnson, Craig; Siscovick, David; Burke, Gregory L.; Post, Wendy; Shea, Steven; Jacobs, David R. Jr.; Stunnenberg, Hendrik G.; Kritchevsky, Stephen B.; Hoeschele, Ina; McCall, Charles E.; Herrington, David M.; Tracy, Russell P.; Liu, Yongmei (Springer Nature, 2014-11)
Age-related variations in DNA methylation have been reported; however, the functional relevance of these differentially methylated sites (age-dMS) are unclear. Here we report potentially functional age-dMS, defined as age-and cis-gene expression-associated methylation sites (age-eMS), identified by integrating genome-wide CpG methylation and gene expression profiles collected ex vivo from circulating T cells (227 CD4+ samples) and monocytes (1,264 CD14+ samples, age range: 55-94 years). None of the age-eMS detected in 227 T-cell samples are detectable in 1,264 monocyte samples, in contrast to the majority of age-dMS detected in T cells that replicated in monocytes. Age-eMS tend to be hypomethylated with older age, located in predicted enhancers and preferentially linked to expression of antigen processing and presentation genes. These results identify and characterize potentially functional age-related methylation in human T cells and monocytes, and provide novel insights into the role age-dMS may have in the aging process.
Alphavirus Particles Can Assemble with an Alternate Triangulation Number
Kaelber, Jason T.; Chmielewski, David; Chiu, Wah; Auguste, A. Jonathan (MDPI, 2022-11-27)
Alphaviruses are spherical, enveloped RNA viruses primarily transmitted by mosquitoes, and cause significant arthritogenic and neurotropic disease in humans and livestock. Previous reports have shown that—in contrast to prototypical icosahedral viruses—alphaviruses incorporate frequent defects, and these may serve important functions in the viral life cycle. We confirm the genus-wide pleomorphism in live viral particles and extend our understanding of alphavirus assembly through the discovery of an alternate architecture of Eastern equine encephalitis virus (EEEV) particles. The alternate T = 3 icosahedral architecture differs in triangulation number from the classic T = 4 icosahedral organization that typifies alphaviruses, but the alternate architecture maintains the quasi-equivalence relationship of asymmetric units. The fusion spike glycoproteins are more loosely apposed in the T = 3 form with corresponding changes in the underlying capsid protein lattice. This alternate architecture could potentially be exploited in engineering alphavirus-based particles for delivery of alphaviral or other RNA.
An Analysis of Enzyme Kinetics Data for Mitochondrial DNA Strand Termination by Nucleoside Reverse Transcription Inhibitors
Wendelsdorf, Katherine V.; Song, Zhuo; Samuels, David C. (Public Library of Science, 2009-01-09)
Nucleoside analogs used in antiretroviral treatment have been associated with mitochondrial toxicity. The polymerase-gamma hypothesis states that this toxicity stems from the analogs' inhibition of the mitochondrial DNA polymerase (polymerase-gamma) leading to mitochondrial DNA (mtDNA) depletion. We have constructed a computational model of the interaction of polymerase-gamma with activated nucleoside and nucleotide analog drugs, based on experimentally measured reaction rates and base excision rates, together with the mtDNA genome size, the human mtDNA sequence, and mitochondrial dNTP concentrations. The model predicts an approximately 1000-fold difference in the activated drug concentration required for a 50% probability of mtDNA strand termination between the activated di-deoxy analogs d4T, ddC, and ddI (activated to ddA) and the activated forms of the analogs 3TC, TDF, AZT, FTC, and ABC. These predictions are supported by experimental and clinical data showing significantly greater mtDNA depletion in cell culture and patient samples caused by the di-deoxy analog drugs. For zidovudine (AZT) we calculated a very low mtDNA replication termination probability, in contrast to its reported mitochondrial toxicity in vitro and clinically. Therefore AZT mitochondrial toxicity is likely due to a mechanism that does not involve strand termination of mtDNA replication.
Analysis of global gene expression changes in human bronchial epithelial cells exposed to spores of the allergenic fungus, Alternaria alternata
Babiceanu, Mihaela; Howard, B. A.; Rumore, A. C.; Kita, H.; Lawrence, Christopher B. (Frontiers, 2013-07-19)
Exposure and sensitivity to ubiquitous airborne fungi such as Alternaria alternata have long been implicated in the development, onset, and exacerbation of chronic allergic airway disorders. This present study is the first to investigate global changes in host gene expression during the interaction of cultured human bronchial epithelial cells and live Alternaria spores. In in vitro experiments human bronchial epithelial cells (BEAS-2B) were exposed to spores or media alone for 24 h. RNA was collected from three biological replicates per treatment and was used to assess changes in gene expression patterns using Affymetrix Human Genome U133 Plus 2.0 Arrays. In cells treated with Alternaria spores compared to controls, 613 probe sets representing 460 individual genes were found differentially expressed (p <= 0.05). In this set of 460 statistically significant, differentially expressed genes, 397 genes were found to be up-regulated and 63 were down-regulated. Of these 397 up-regulated genes, 156 genes were found to be up-regulated >= 2 fold. Interestingly, none of the 63 down-regulated genes were found differentially expressed at <=-2 fold. Differentially expressed genes were identified following statistical analysis and subsequently used for pathway and network evaluation. Interestingly, many cytokine and chemokine immune response genes were up-regulated with a particular emphasis on interferon-inducible genes. Genes involved in cell death, retinoic acid signaling, and TLR3 response pathways were also significantly up-regulated. Many of the differentially up-regulated genes have been shown in other systems to be associated with innate immunity, inflammation and/or allergic airway diseases. This study now provides substantial information for further investigating specific genes and innate immune system pathways activated by Alternaria in the context of allergic airway diseases.
Analysis of horse genomes provides insight into the diversification and adaptive evolution of karyotype
Huang, J. L.; Zhao, Y. P.; Shiraigol, W.; Li, B.; Bai, D. Y.; Ye, W. X.; Daidiikhuu, D.; Yang, L. H.; Jin, Brqqg; Zhao, Q. A.; Gao, Y. H.; Wu, J.; Bao, Wydl; Li, A. A.; Zhang, Y. H. Percival; Han, H. G.; Bai, H. T.; Bao, Y. Q.; Zhao, L. L.; Zhai, Z. X.; Zhao, W. J.; Sun, Z. K.; Zhang, Y.; Meng, H.; Dugarjaviin, M. (Nature Publishing Group, 2014-05)
Karyotypic diversification is more prominent in Equus species than in other mammals. Here, using next generation sequencing technology, we generated and de novo assembled quality genomes sequences for a male wild horse (Przewalski's horse) and a male domestic horse (Mongolian horse), with about 93-fold and 91-fold coverage, respectively. Portion of Y chromosome from wild horse assemblies (3 M bp) and Mongolian horse (2 M bp) were also sequenced and de novo assembled. We confirmed a Robertsonian translocation event through the wild horse's chromosomes 23 and 24, which contained sequences that were highly homologous with those on the domestic horse's chromosome 5. The four main types of rearrangement, insertion of unknown origin, inserted duplication, inversion, and relocation, are not evenly distributed on all the chromosomes, and some chromosomes, such as the X chromosome, contain more rearrangements than others, and the number of inversions is far less than the number of insertions and relocations in the horse genome. Furthermore, we discovered the percentages of LINE_L1 and LTR_ERV1 are significantly increased in rearrangement regions. The analysis results of the two representative Equus species genomes improved our knowledge of Equus chromosome rearrangement and karyotype evolution.
Analysis of Microsatellite Variation in Drosophila melanogaster with Population-Scale Genome Sequencing
Fondon, John W. III; Martin, Andy; Richards, Stephen; Gibbs, Richard A.; Mittelman, David (PLoS, 2012-03-12)
Genome sequencing technologies promise to revolutionize our understanding of genetics, evolution, and disease by making it feasible to survey a broad spectrum of sequence variation on a population scale. However, this potential can only be realized to the extent that methods for extracting and interpreting distinct forms of variation can be established. The error profiles and read length limitations of early versions of next-generation sequencing technologies rendered them ineffective for some sequence variant types, particularly microsatellites and other tandem repeats, and fostered the general misconception that such variants are inherently inaccessible to these platforms. At the same time, tandem repeats have emerged as important sources of functional variation. Tandem repeats are often located in and around genes, and frequent mutations in their lengths exert quantitative effects on gene function and phenotype, rapidly degrading linkage disequilibrium between markers and traits. Sensitive identification of these variants in large-scale next-gen sequencing efforts will enable more comprehensive association studies capable of revealing previously invisible associations. We present a population-scale analysis of microsatellite repeats using whole-genome data from 158 inbred isolates from the Drosophila Genetics Reference Panel, a collection of over 200 extensively phenotypically characterized isolates from a single natural population, to uncover processes underlying repeat mutation and to enable associations with behavioral, morphological, and life-history traits. Analysis of repeat variation from next-generation sequence data will also enhance studies of genome stability and neurodegenerative diseases.
Analysis of Schistosoma mansoni genes shared with Deuterostomia and with possible roles in host interactions
Venancio, Thiago M.; DeMarco, Ricardo; Almeida, Giulliana T.; Oliveira, Katia C.; Setubal, João C.; Verjovski-Almeida, Sergio (2007-11-08)
Background: Schistosoma mansoni is a blood helminth parasite that causes schistosomiasis, a disease that affects 200 million people in the world. Many orthologs of known mammalian genes have been discovered in this parasite and evidence is accumulating that some of these genes encode proteins linked to signaling pathways in the parasite that appear to be involved with growth or development, suggesting a complex co-evolutionary process. Results: In this work we found 427 genes conserved in the Deuterostomia group that have orthologs in S. mansoni and no members in any nematodes and insects so far sequenced. Among these genes we have identified Insulin Induced Gene (INSIG), Interferon Regulatory Factor (IRF) and vasohibin orthologs, known to be involved in mammals in mevalonate metabolism, immune response and angiogenesis control, respectively. We have chosen these three genes for a more detailed characterization, which included extension of their cloned messages to obtain full-length sequences. Interestingly, SmINSIG showed a 10-fold higher expression in adult females as opposed to males, in accordance with its possible role in regulating egg production. SmIRF has a DNA binding domain, a tryptophan-rich N-terminal region and several predicted phosphorylation sites, usually important for IRF activity. Fourteen different alternatively spliced forms of the S. mansoni vasohibin (SmVASL) gene were detected that encode seven different protein isoforms including one with a complete C-terminal end, and other isoforms with shorter C-terminal portions. Using S. mansoni homologs, we have employed a parsimonious rationale to compute the total gene losses/gains in nematodes, arthropods and deuterostomes under either the Coelomata or the Ecdysozoa evolutionary hypotheses; our results show a lower losses/gains number under the latter hypothesis. Conclusion: The genes discussed which are conserved between S. mansoni and deuterostomes, probably have an ancient origin and were lost in Ecdysozoa, being still present in Lophotrochozoa. Given their known functions in Deuterostomia, it is possible that some of them have been co-opted to perform functions related (directly or indirectly) to host adaptation or interaction with host signaling processes.
Analysis of tall fescue ESTs representing different abiotic stresses, tissue types and developmental stages
Mian, M. A. Rouf; Zhang, Yan; Wang, Zeng-Yu; Zhang, Ji-Yi; Cheng, Xiaofei; Chen, Lei; Chekhovskiy, Konstantin; Dai, Xinbin; Mao, Chunhong; Cheung, Foo; Zhao, Xuechun; He, Ji; Scott, Angela D.; Town, Christopher D.; May, Gregory D. (2008-03-04)
Background Tall fescue (Festuca arundinacea Schreb) is a major cool season forage and turf grass species grown in the temperate regions of the world. In this paper we report the generation of a tall fescue expressed sequence tag (EST) database developed from nine cDNA libraries representing tissues from different plant organs, developmental stages, and abiotic stress factors. The results of inter-library and library-specific in silico expression analyses of these ESTs are also reported. Results A total of 41,516 ESTs were generated from nine cDNA libraries of tall fescue representing tissues from different plant organs, developmental stages, and abiotic stress conditions. The Festuca Gene Index (FaGI) has been established. To date, this represents the first publicly available tall fescue EST database. In silico gene expression studies using these ESTs were performed to understand stress responses in tall fescue. A large number of ESTs of known stress response gene were identified from stressed tissue libraries. These ESTs represent gene homologues of heat-shock and oxidative stress proteins, and various transcription factor protein families. Highly expressed ESTs representing genes of unknown functions were also identified in the stressed tissue libraries. Conclusion FaGI provides a useful resource for genomics studies of tall fescue and other closely related forage and turf grass species. Comparative genomic analyses between tall fescue and other grass species, including ryegrasses (Lolium sp.), meadow fescue (F. pratensis) and tetraploid fescue (F. arundinacea var glaucescens) will benefit from this database. These ESTs are an excellent resource for the development of simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) PCR-based molecular markers.
Analysis of the Aedes albopictus C6/36 genome provides insight into cell line utility for viral propagation
Miller, Jason R.; Koren, Sergey; Dilley, Kari A.; Puri, Vinita; Brown, David M.; Harkins, Derel M.; Thibaud-Nissen, Françoise; Rosen, Benjamin D.; Xiao-Guang, Chen; Tu, Zhijian Jake; Sharakhov, Igor V.; Sharakhova, Maria V.; Sebra, R.; Stockwell, T. B.; Bergman, N. H.; Sutton, G. G.; Phillippi, A. M.; Pieemarini, P. M.; Shabman, R. S. (2018-03)
The 50-year old Aedes albopictus C6/36 cell line is a resource for the detection, amplification, and analysis of mosquito-borne viruses including Zika, dengue, and chikungunya. The cell line is derived from an unknown number of larvae from an unspecified strain of Aedes albopictus mosquitoes. Toward improved utility of the cell line for research in virus transmission, we present an annotated assembly of the C6/36 genome.
Analysis system using brokers that access information sources
(United States Patent and Trademark Office, 2018-01-16)
Systems, methods, and computer-readable media for generating a data set are provided. One method includes generating a data set based on input data using a plurality of brokers. The method further includes receiving a request from a user and determining whether the request can be fulfilled using data currently in the data set. When the request can be fulfilled using data currently in the data set, the data is accessed using broker(s) configured to provide access to data within the data set. When the request cannot be fulfilled using data currently in the data set, at least one new broker is spawned using existing broker(s) and additional data needed to fulfill the request is added to the data set using the new broker. The method further includes generating a response to the request using one or more of the plurality of brokers.

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