|IDENTIFICATION AND DIFERENTIATION OF Verticillium SPECIES WITH PCR MARKERS AND SEQUENCING OF ITS REGION|
Taja Jesenicnik, Nataša Štajner, Jernej Jakše, Sebastijan Radišek and Branka Javornik
The genus Verticillium is a group of ascomycete fungi, including plant-pathogenic species capable of affecting the vasculature of many agricultural crops, and therefore causes major economic losses worldwide. In 2011, a new taxonomic classification of the genus was proposed, which is now referred to as Verticillium sensu stricto, comprising ten species: V. dahliae V. albo-atru, V. alfalfae, V. longisporum, V. nonalfalfae, V. tricorpus, V. zaregamsianum, V. nubilum, V. isaacii and V. klebahnii. <
|Automated detection and control of controlled substances|
Joe Bradley, Ian Johns
Scitegrity, in conjunction with the Pistoia Alliance and a number of pharmaceutical companies, have developed Controlled Substances Squared to scan large chemical libraries (millions of compounds) and determine whether a compound is considered as controlled in a selected country.
|Population characterization of Brazilian isolates of Ceratocystis spp. using microsatellites|
Edson Luiz Furtado, Ana Carolina Firmino, Michael Mbenoun, Denise Nakada Nosaki, Ariska Van der Nest, Jolanda Roux, Irene Bernes, Mike Wingfield
The genus Ceratocystis includes several species of economically important plant pathogens and has a global distribution. In Brazil, species in the genus cause disease and death of hosts such as cacao, eucalypts and mango. This study aimed to characterize the population structure and diversity of isolates of Ceratocystis fimbriata sensu lato collected from diseased Eucalyptus species and to compare these to isolates from cacao, mango, teak, fig, rubber and atemoya.
|Geneious R8: A Powerful and Comprehensive Suite of Molecular Biology Tools
Christian Olsen, Kashef Qaadri, Richard Moir, Matt Kearse, Simon Buxton, Matthew Cheung, Hengjie Wang, Jonas Kuhn, Steven Stones-Havas, Chris Duran
Geneious R8: A powerful and comprehensive suite of molecular biology tools.
|Putative Genes Identified on Two Growth Conditions of G. boninense|
Jayanthi N, Abrizah O, Low ETL, O-Abdullah M, Hogan M, Cuomo CA, Desjardins C, Abdul Manaf MA, Rajinder S, Birren B and Ravigadevi S
Putative genes identified on two growth conditions of Ganoderma boninense.
|Identifying marker-trait associations for Fiber Components in Sugarcane with Simple Sequence Repeat Markers|
Karine Kettener; Natalia Spagnol Stabellini, Marcia Moreno, Karine Miranda Oliveira, Itaraju Brum, Francisco Claudio da Conceicao Lopes, Thiago Benatti, Alessandro Pellegrineschi; Jorge A. da Silva; Celso Luis Marino.
Identifying marker-trait associations for Fiber Components in Sugarcane with Simple Sequence Repeat Markers.
|Contrasting Patterns of Neutral and Adaptive Genetic Variation of Chilean Blue Mussel (Mytilus chilensis) Due to Local Adaptation and Aquaculture|
Cristian Araneda1 , M. Angelica Larrain2, Benjamin Hecht3, Shawn Narum4
This study was designed to investigate patterns of neutral and adaptive genetic variation within Chilean blue mussel populations in order to identify a subset of putatively adaptive genetic markers to investigate the population structure and to improve the ability to trace individuals to their geographical origin, especially in the area with strong aquaculture activities
|TFAP2B is Associated with WNT/ß-catenin Pathway in Luminal Breast Cancer|
Benjamin Otto1,2, Kristin Klätschke2, Thomas Streichert3, Christoph Wagener2, Genrich Tolstonog4
Here we aimed to investigate which molecular mechanisms are associated with TFAP2B expression in luminal breast cancer.
|Transcription Factors to Classify Tumor Types and Subtypes|
Benjamin Otto 1,2, Kristin Klätschke 2, Thomas Streichert 3, Christoph Wagener 2, Genrich Tolstonog 4
Here we introduce the use of the unsupervised approach to identify transcription factors (TFs) that are specific for different tumor types.
|Expression Profiling of Circulating Tumor Cells: a Prognostic and Predictive Biomarker in Cancer.|
Mikael Kubista, Robert Sjöback,Marie Jindrichova, Eva Rohlova, Vendula Novosadová, Siegfrid Hauch, Bahriye Aktas, Mitra Tewes,Maren Bredemeier, and SabineKasimir-Bauer
We show non-responders to treatment among breast cancer patients can be identified by expression profiling of circulating tumor cells
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