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Landscape Genomics: Natural Selection Drives The Evolution Of Mitogenome In Penguins, Barbara Ramos, Daniel González-Acuña, David Loyola, Warren Johnson, Patricia Parker, Melanie Massaro, Gisele Dantas, Marcelo Miranda, Juliana Vianna
Landscape Genomics: Natural Selection Drives The Evolution Of Mitogenome In Penguins, Barbara Ramos, Daniel González-Acuña, David Loyola, Warren Johnson, Patricia Parker, Melanie Massaro, Gisele Dantas, Marcelo Miranda, Juliana Vianna
Biology Department Faculty Works
BackgroundMitochondria play a key role in the balance of energy and heat production, and therefore the mitochondrial genome is under natural selection by environmental temperature and food availability, since starvation can generate more efficient coupling of energy production. However, selection over mitochondrial DNA (mtDNA) genes has usually been evaluated at the population level. We sequenced by NGS 12 mitogenomes and with four published genomes, assessed genetic variation in ten penguin species distributed from the equator to Antarctica. Signatures of selection of 13 mitochondrial protein-coding genes were evaluated by comparing among species within and among genera (Spheniscus, Pygoscelis, Eudyptula, Eudyptes and …
Comprehensive Quantification Of Triacylglycerols In Soybean Seeds By Electrospray Ionization Mass Spectrometry With Multiple Neutral Loss Scans, Maoyin Li, Emily Butka, Xuemin Wang
Comprehensive Quantification Of Triacylglycerols In Soybean Seeds By Electrospray Ionization Mass Spectrometry With Multiple Neutral Loss Scans, Maoyin Li, Emily Butka, Xuemin Wang
Biology Department Faculty Works
Soybean seeds are an important source of vegetable oil and biomaterials. The content of individual triacylglycerol species (TAG) in soybean seeds is difficult to quantify in an accurate and rapid way. The present study establishes an approach to quantify TAG species in soybean seeds utilizing an electrospray ionization tandem mass spectrometry with multiple neutral loss scans. Ten neutral loss scans were performed to detect the fatty acyl chains of TAG, including palmitic (P, 16:0), linolenic (Ln, 18:3), linoleic (L, 18:2), oleic (O, 18:1), stearic (S, 18:0), eicosadienoic (20:2), gadoleic (20:1), arachidic (20:0), erucic (22:1), and behenic (22:0). The abundance of …
Parallel And Divergent Evolutionary Solutions For The Optimization Of An Engineered Central Metabolism In Methylobacterium Extorquens Am1, Sean Carroll, Lon Chubiz, Deepa Agashe, Christopher Marx
Parallel And Divergent Evolutionary Solutions For The Optimization Of An Engineered Central Metabolism In Methylobacterium Extorquens Am1, Sean Carroll, Lon Chubiz, Deepa Agashe, Christopher Marx
Biology Department Faculty Works
Bioengineering holds great promise to provide fast and efficient biocatalysts for methanol-based biotechnology, but necessitates proven methods to optimize physiology in engineered strains. Here, we highlight experimental evolution as an effective means for optimizing an engineered Methylobacterium extorquens AM1. Replacement of the native formaldehyde oxidation pathway with a functional analog substantially decreased growth in an engineered Methylobacterium, but growth rapidly recovered after six hundred generations of evolution on methanol. We used whole-genome sequencing to identify the basis of adaptation in eight replicate evolved strains, and examined genomic changes in light of other growth and physiological data. We observed great variety …
Freq-Seq: A Rapid, Cost-Effective, Sequencing-Based Method To Determine Allele Frequencies Directly From Mixed Populations, Lon Chubiz, Ming-Chun Lee, Nigel Delaney, Christopher Marx
Freq-Seq: A Rapid, Cost-Effective, Sequencing-Based Method To Determine Allele Frequencies Directly From Mixed Populations, Lon Chubiz, Ming-Chun Lee, Nigel Delaney, Christopher Marx
Biology Department Faculty Works
No abstract provided.
Computational Design Of Orthogonal Ribosomes, Lon Chubiz, Christopher Rao
Computational Design Of Orthogonal Ribosomes, Lon Chubiz, Christopher Rao
Biology Department Faculty Works
Orthogonal ribosomes (o-ribosomes), also known as specialized ribosomes, are able to selectively translate mRNA not recognized by host ribosomes. As a result, they are powerful tools for investigating translational regulation and probing ribosome structure. To date, efforts directed towards engineering o-ribosomes have involved random mutagenesisbased approaches. As an alternative, we present here a computational method for rationally designing o-ribosomes in bacteria. Working under the assumption that base-pair interactions between the 16S rRNA and mRNA serve as the primary mode for ribosome binding and translational initiation, the algorithm enumerates all possible extended recognition sequences for 16S rRNA and then chooses those …
The Plant Structure Ontology, A Unified Vocabulary Of Anatomy And Morphology Of A Flowering Plant, Katica Ilic, Elizabeth Kellogg, Pankaj Jaiswal, Felipe Zapata, Peter Stevens, Leszek Vincent, Shulamit Avraham, Leonore Reiser, Anuradha Pujar, Martin Sachs, Noah Whitman, Susan Mccouch, Mary Schaeffer, Doreen Ware, Lincoln Stein, Seung Rhee
The Plant Structure Ontology, A Unified Vocabulary Of Anatomy And Morphology Of A Flowering Plant, Katica Ilic, Elizabeth Kellogg, Pankaj Jaiswal, Felipe Zapata, Peter Stevens, Leszek Vincent, Shulamit Avraham, Leonore Reiser, Anuradha Pujar, Martin Sachs, Noah Whitman, Susan Mccouch, Mary Schaeffer, Doreen Ware, Lincoln Stein, Seung Rhee
Biology Department Faculty Works
Formal description of plant phenotypes and standardized annotation of gene expression and protein localization data require uniform terminology that accurately describes plant anatomy and morphology. This facilitates cross species comparative studies and quantitative comparison of phenotypes and expression patterns. A major drawback is variable terminology that is used to describe plant anatomy and morphology in publications and genomic databases for different species. The same terms are sometimes applied to different plant structures in different taxonomic groups. Conversely, similar structures are named by their species-specific terms. To address this problem, we created the Plant Structure Ontology (PSO), the first generic ontological …