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https://www.readbyqxmd.com/read/28449263/multi-dice-r-package-for-comparative-population-genomic-inference-under-hierarchical-co-demographic-models-of-independent-single-population-size-changes
#1
Alexander T Xue, Michael J Hickerson
Population genetic data from multiple taxa can address comparative phylogeographic questions about community-scale response to environmental shifts, and a useful strategy to this end is to employ hierarchical co-demographic models that directly test multi-taxa hypotheses within a single, unified analysis while benefiting in statistical power from aggregating datasets. This approach has been applied to classical phylogeographic datasets such as mitochondrial barcodes as well as reduced-genome polymorphism datasets that can yield 10,000s of SNPs, produced by emergent technologies such as RAD-seq and GBS...
April 27, 2017: Molecular Ecology Resources
https://www.readbyqxmd.com/read/28449103/novel-degenerative-and-developmental-defects-in-a-zebrafish-model-of-mucolipidosis-type-iv
#2
Huiqing Li, Wuhong Pei, Sivia Vergarajauregui, Patricia M Zerfas, Nina Raben, Shawn M Burgess, Rosa Puertollano
Mucolipidosis type IV (MLIV) is a lysosomal storage disease characterized by neurologic and ophthalmologic abnormalities. There is currently no effective treatment. MLIV is caused by mutations in MCOLN1, a lysosomal cation channel from the transient receptor potential (TRP) family. In this study we used genome editing to knockout the two mcoln1 genes present in Dario rerio (zebrafish). Our model successfully reproduced the retinal and neuromuscular defects observed in MLIV patients, indicating that this model is suitable for studying the disease pathogenesis...
April 25, 2017: Human Molecular Genetics
https://www.readbyqxmd.com/read/28446220/scale-modeling-allele-specific-gene-expression-by-single-cell-rna-sequencing
#3
Yuchao Jiang, Nancy R Zhang, Mingyao Li
Allele-specific expression is traditionally studied by bulk RNA sequencing, which measures average expression across cells. Single-cell RNA sequencing allows the comparison of expression distribution between the two alleles of a diploid organism and the characterization of allele-specific bursting. Here, we propose SCALE to analyze genome-wide allele-specific bursting, with adjustment of technical variability. SCALE detects genes exhibiting allelic differences in bursting parameters and genes whose alleles burst non-independently...
April 26, 2017: Genome Biology
https://www.readbyqxmd.com/read/28443619/programming-mrna-decay-to-modulate-synthetic-circuit-resource-allocation
#4
Ophelia S Venturelli, Mika Tei, Stefan Bauer, Leanne Jade G Chan, Christopher J Petzold, Adam P Arkin
Synthetic circuits embedded in host cells compete with cellular processes for limited intracellular resources. Here we show how funnelling of cellular resources, after global transcriptome degradation by the sequence-dependent endoribonuclease MazF, to a synthetic circuit can increase production. Target genes are protected from MazF activity by recoding the gene sequence to eliminate recognition sites, while preserving the amino acid sequence. The expression of a protected fluorescent reporter and flux of a high-value metabolite are significantly enhanced using this genome-scale control strategy...
April 26, 2017: Nature Communications
https://www.readbyqxmd.com/read/28442606/the-exit-strategy-an-approach-for-identifying-bacterial-proteins-exported-during-host-infection
#5
E F Perkowski, K E Zulauf, D Weerakoon, J D Hayden, T R Ioerger, D Oreper, S M Gomez, J C Sacchettini, M Braunstein
Exported proteins of bacterial pathogens function both in essential physiological processes and in virulence. Past efforts to identify exported proteins were limited by the use of bacteria growing under laboratory (in vitro) conditions. Thus, exported proteins that are exported only or preferentially in the context of infection may be overlooked. To solve this problem, we developed a genome-wide method, named EXIT (exported in vivotechnology), to identify proteins that are exported by bacteria during infection and applied it to Mycobacterium tuberculosis during murine infection...
April 25, 2017: MBio
https://www.readbyqxmd.com/read/28442386/arginine-deiminase-pathway-provides-atp-and-boosts-growth-of-the-gas-fermenting-acetogen-clostridium-autoethanogenum
#6
Kaspar Valgepea, Kim Q Loi, James B Behrendorff, Renato de S P Lemgruber, Manuel Plan, Mark P Hodson, Michael Köpke, Lars K Nielsen, Esteban Marcellin
Acetogens are attractive organisms for the production of chemicals and fuels from inexpensive and non-food feedstocks such as syngas (CO, CO2 and H2). Expanding their product spectrum beyond native compounds is dictated by energetics, particularly ATP availability. Acetogens have evolved sophisticated strategies to conserve energy from reduction potential differences between major redox couples, however, this coupling is sensitive to small changes in thermodynamic equilibria. To accelerate the development of strains for energy-intensive products from gases, we used a genome-scale metabolic model (GEM) to explore alternative ATP-generating pathways in the gas-fermenting acetogen Clostridium autoethanogenum...
April 22, 2017: Metabolic Engineering
https://www.readbyqxmd.com/read/28437848/inferring-network-structure-in-non-normal-and-mixed-discrete-continuous-genomic-data
#7
Anindya Bhadra, Arvind Rao, Veerabhadran Baladandayuthapani
Inferring dependence structure through undirected graphs is crucial for uncovering the major modes of multivariate interaction among high-dimensional genomic markers that are potentially associated with cancer. Traditionally, conditional independence has been studied using sparse Gaussian graphical models for continuous data and sparse Ising models for discrete data. However, there are two clear situations when these approaches are inadequate. The first occurs when the data are continuous but display non-normal marginal behavior such as heavy tails or skewness, rendering an assumption of normality inappropriate...
April 24, 2017: Biometrics
https://www.readbyqxmd.com/read/28436944/active-and-poised-promoter-states-drive-folding-of-the-extended-hoxb-locus-in-mouse-embryonic-stem-cells
#8
Mariano Barbieri, Sheila Q Xie, Elena Torlai Triglia, Andrea M Chiariello, Simona Bianco, Inês de Santiago, Miguel R Branco, David Rueda, Mario Nicodemi, Ana Pombo
Gene expression states influence the 3D conformation of the genome through poorly understood mechanisms. Here, we investigate the conformation of the murine HoxB locus, a gene-dense genomic region containing closely spaced genes with distinct activation states in mouse embryonic stem (ES) cells. To predict possible folding scenarios, we performed computer simulations of polymer models informed with different chromatin occupancy features that define promoter activation states or binding sites for the transcription factor CTCF...
April 24, 2017: Nature Structural & Molecular Biology
https://www.readbyqxmd.com/read/28435014/maximum-likelihood-estimates-of-pairwise-rearrangement-distances
#9
Stuart Serdoz, Attila Egri-Nagy, Jeremy Sumner, Barbara R Holland, Peter D Jarvis, Mark M Tanaka, Andrew R Francis
Accurate estimation of evolutionary distances between taxa is important for many phylogenetic reconstruction methods. Distances can be estimated using a range of different evolutionary models, from single nucleotide polymorphisms to large-scale genome rearrangements. Corresponding corrections for genome rearrangement distances fall into 3 categories: Empirical computational studies, Bayesian/MCMC approaches, and combinatorial approaches. Here, we introduce a maximum likelihood estimator for the inversion distance between a pair of genomes, using a group-theoretic approach to modelling inversions introduced recently...
April 20, 2017: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/28433737/exploring-biochemical-pathways-for-mono-ethylene-glycol-meg-synthesis-from-synthesis-gas
#10
M Ahsanul Islam, Noushin Hadadi, Meric Ataman, Vassily Hatzimanikatis, Gregory Stephanopoulos
Mono-ethylene glycol (MEG) is an important petrochemical with widespread use in numerous consumer products. The current industrial MEG-production process relies on non-renewable fossil fuel-based feedstocks, such as petroleum, natural gas, and naphtha; hence, it is useful to explore alternative routes of MEG-synthesis from gases as they might provide a greener and more sustainable alternative to the current production methods. Technologies of synthetic biology and metabolic engineering of microorganisms can be deployed for the expression of new biochemical pathways for MEG-synthesis from gases, provided that such promising alternative routes are first identified...
April 19, 2017: Metabolic Engineering
https://www.readbyqxmd.com/read/28433724/whole-genome-de-novo-sequencing-of-wood-rot-fungus-fomitopsis-palustris-atcc62978-with-both-a-cellulolytic-and-ligninolytic-enzyme-system
#11
Chang-Young Hong, Su-Yeon Lee, Sun-Hwa Ryu, Myungkil Kim
Fomitopsis palustris is a model brown rot fungus causing destructive wood decay based on the cellulase system. Endoglucanase secreted by F. palustris hydrolyzes cellulose in both the crystalline and amorphous form. In this study, whole-genome sequencing was conducted to identify genes related to F. palustris cellulose degradation and their functions. We determined the 43-Mb complete draft genome of F. palustris (ATCC 62978), comprising 14,592 predicted gene models. Gene annotation provided crucial information about the location and function of protein-encoding genes...
April 19, 2017: Journal of Biotechnology
https://www.readbyqxmd.com/read/28431800/genetic-predictors-of-antipsychotic-response-to-lurasidone-identified-in-a-genome-wide-association-study-and-by-schizophrenia-risk-genes
#12
Jiang Li, Akane Yoshikawa, Mark D Brennan, Timothy L Ramsey, Herbert Y Meltzer
Biomarkers which predict response to atypical antipsychotic drugs (AAPDs) increases their benefit/risk ratio. We sought to identify common variants in genes which predict response to lurasidone, an AAPD, by associating genome-wide association study (GWAS) data and changes (Δ) in Positive And Negative Syndrome Scale (PANSS) scores from two 6-week randomized, placebo-controlled trials of lurasidone in schizophrenia (SCZ) patients. We also included SCZ risk SNPs identified by the Psychiatric Genomics Consortium using a polygenic risk analysis...
April 18, 2017: Schizophrenia Research
https://www.readbyqxmd.com/read/28429747/imaging-genetics-approach-to-parkinson-s-disease-and-its-correlation-with-clinical-score
#13
Mansu Kim, Jonghoon Kim, Seung-Hak Lee, Hyunjin Park
Parkinson's disease (PD) is a progressive neurodegenerative disorder associated with both underlying genetic factors and neuroimaging findings. Existing neuroimaging studies related to the genome in PD have mostly focused on certain candidate genes. The aim of our study was to construct a linear regression model using both genetic and neuroimaging features to better predict clinical scores compared to conventional approaches. We obtained neuroimaging and DNA genotyping data from a research database. Connectivity analysis was applied to identify neuroimaging features that could differentiate between healthy control (HC) and PD groups...
April 21, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28424673/genome-scale-reconstruction-of-the-metabolic-network-in-oenococcus-oeni-to-assess-wine-malolactic-fermentation
#14
Sebastián N Mendoza, Pablo M Cañón, Ángela Contreras, Magdalena Ribbeck, Eduardo Agosín
Oenococcus oeni is the main responsible agent for malolactic fermentation in wine, an unpredictable and erratic process in winemaking. To address this, we have constructed and exhaustively curated the first genome-scale metabolic model of Oenococcus oeni, comprising 660 reactions, 536 metabolites and 454 genes. In silico experiments revealed that nutritional requirements are predicted with an accuracy of 93%, while 14 amino acids were found to be essential for the growth of this bacterial species. When the model was applied to determine the non-growth associated maintenance, results showed that O...
2017: Frontiers in Microbiology
https://www.readbyqxmd.com/read/28419235/a-bayesian-group-sparse-multi-task-regression-model-for-imaging-genetics
#15
Keelin Greenlaw, Elena Szefer, Jinko Graham, Mary Lesperance, Farouk S Nathoo
Motivation: Recent advances in technology for brain imaging and high-throughput genotyping have motivated studies examining the influence of genetic variation on brain structure. Wang et al. (Bioinformatics, 2012) have developed an approach for the analysis of imaging genomic studies using penalized multi-task regression with regularization based on a novel group l2,1-norm penalty which encourages structured sparsity at both the gene level and SNP level. While incorporating a number of useful features, the proposed method only furnishes a point estimate of the regression coefficients; techniques for conducting statistical inference are not provided...
April 13, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28419089/erroneous-energy-generating-cycles-in-published-genome-scale-metabolic-networks-identification-and-removal
#16
Claus Jonathan Fritzemeier, Daniel Hartleb, Balázs Szappanos, Balázs Papp, Martin J Lercher
Energy metabolism is central to cellular biology. Thus, genome-scale models of heterotrophic unicellular species must account appropriately for the utilization of external nutrients to synthesize energy metabolites such as ATP. However, metabolic models designed for flux-balance analysis (FBA) may contain thermodynamically impossible energy-generating cycles: without nutrient consumption, these models are still capable of charging energy metabolites (such as ADP→ATP or NADP+→NADPH). Here, we show that energy-generating cycles occur in over 85% of metabolic models without extensive manual curation, such as those contained in the ModelSEED and MetaNetX databases; in contrast, such cycles are rare in the manually curated models of the BiGG database...
April 18, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28418590/control-of-biofouling-by-xanthine-oxidase-on-seawater-reverse-osmosis-membranes-from-a-desalination-plant-enzyme-production-and-screening-of-bacterial-isolates-from-the-full-scale-plant
#17
Veena Nagaraj, Lucy Skillman, Dan Li, Zhangwang Xie, Goen Ho
Control of biofouling on seawater reverse osmosis (SWRO) membranes is a major challenge as treatments can be expensive, damage the membrane material and often biocides do not remove the polymers in which bacteria are embedded. Biological control has been largely ignored for biofouling control. The objective of this study was to demonstrate the effectiveness of xanthine oxidase enzyme against complex fouling communities and then identify naturally occurring bacterial strains that produce the free radical generating enzyme...
April 18, 2017: Letters in Applied Microbiology
https://www.readbyqxmd.com/read/28410642/ipscore-a-resource-of-222-ipsc-lines-enabling-functional-characterization-of-genetic-variation-across-a-variety-of-cell-types
#18
Athanasia D Panopoulos, Matteo D'Antonio, Paola Benaglio, Roy Williams, Sherin I Hashem, Bernhard M Schuldt, Christopher DeBoever, Angelo D Arias, Melvin Garcia, Bradley C Nelson, Olivier Harismendy, David A Jakubosky, Margaret K R Donovan, William W Greenwald, KathyJean Farnam, Megan Cook, Victor Borja, Carl A Miller, Jonathan D Grinstein, Frauke Drees, Jonathan Okubo, Kenneth E Diffenderfer, Yuriko Hishida, Veronica Modesto, Carl T Dargitz, Rachel Feiring, Chang Zhao, Aitor Aguirre, Thomas J McGarry, Hiroko Matsui, He Li, Joaquin Reyna, Fangwen Rao, Daniel T O'Connor, Gene W Yeo, Sylvia M Evans, Neil C Chi, Kristen Jepsen, Naoki Nariai, Franz-Josef Müller, Lawrence S B Goldstein, Juan Carlos Izpisua Belmonte, Eric Adler, Jeanne F Loring, W Travis Berggren, Agnieszka D'Antonio-Chronowska, Erin N Smith, Kelly A Frazer
Large-scale collections of induced pluripotent stem cells (iPSCs) could serve as powerful model systems for examining how genetic variation affects biology and disease. Here we describe the iPSCORE resource: a collection of systematically derived and characterized iPSC lines from 222 ethnically diverse individuals that allows for both familial and association-based genetic studies. iPSCORE lines are pluripotent with high genomic integrity (no or low numbers of somatic copy-number variants) as determined using high-throughput RNA-sequencing and genotyping arrays, respectively...
April 11, 2017: Stem Cell Reports
https://www.readbyqxmd.com/read/28402429/a-high-quality-arabidopsis-transcriptome-for-accurate-transcript-level-analysis-of-alternative-splicing
#19
Runxuan Zhang, Cristiane P G Calixto, Yamile Marquez, Peter Venhuizen, Nikoleta A Tzioutziou, Wenbin Guo, Mark Spensley, Juan Carlos Entizne, Dominika Lewandowska, Sara Ten Have, Nicolas Frei Dit Frey, Heribert Hirt, Allan B James, Hugh G Nimmo, Andrea Barta, Maria Kalyna, John W S Brown
Alternative splicing generates multiple transcript and protein isoforms from the same gene and thus is important in gene expression regulation. To date, RNA-sequencing (RNA-seq) is the standard method for quantifying changes in alternative splicing on a genome-wide scale. Understanding the current limitations of RNA-seq is crucial for reliable analysis and the lack of high quality, comprehensive transcriptomes for most species, including model organisms such as Arabidopsis, is a major constraint in accurate quantification of transcript isoforms...
April 11, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28401726/the-genomic-potential-of-the-aspirin-in-reducing-events-in-the-elderly-and-statins-in-reducing-events-in-the-elderly-studies
#20
Paul Lacaze, Robyn Woods, Sophia Zoungas, John McNeil
Human genetic studies are continuing to increase in size and scale, but the availability of well-phenotyped longitudinal cohorts remains rare. Significant infrastructure, investment and effort are required to establish and maintain high-quality cohorts with biobanking, genetic consent and repeated clinical data measurements. Australia currently has two such cohorts established by Monash University as part of community-based clinical trials in the elderly. Both studies involve capture of demographic, mood, cognitive performance, physical function, neuroimaging, audiometry and various clinical data types over an average of 5 years...
April 2017: Internal Medicine Journal
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