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      The C. elegans Rab Family: Identification, Classification and Toolkit Construction

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          Abstract

          Rab monomeric GTPases regulate specific aspects of vesicle transport in eukaryotes including coat recruitment, uncoating, fission, motility, target selection and fusion. Moreover, individual Rab proteins function at specific sites within the cell, for example the ER, golgi and early endosome. Importantly, the localization and function of individual Rab subfamily members are often conserved underscoring the significant contributions that model organisms such as Caenorhabditis elegans can make towards a better understanding of human disease caused by Rab and vesicle trafficking malfunction. With this in mind, a bioinformatics approach was first taken to identify and classify the complete C. elegans Rab family placing individual Rabs into specific subfamilies based on molecular phylogenetics. For genes that were difficult to classify by sequence similarity alone, we did a comparative analysis of intron position among specific subfamilies from yeast to humans. This two-pronged approach allowed the classification of 30 out of 31 C. elegans Rab proteins identified here including Rab31/Rab50, a likely member of the last eukaryotic common ancestor (LECA). Second, a molecular toolset was created to facilitate research on biological processes that involve Rab proteins. Specifically, we used Gateway-compatible C. elegans ORFeome clones as starting material to create 44 full-length, sequence-verified, dominant-negative (DN) and constitutive active (CA) rab open reading frames (ORFs). Development of this toolset provided independent research projects for students enrolled in a research-based molecular techniques course at California State University, East Bay (CSUEB).

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          Sea anemone genome reveals ancestral eumetazoan gene repertoire and genomic organization.

          Sea anemones are seemingly primitive animals that, along with corals, jellyfish, and hydras, constitute the oldest eumetazoan phylum, the Cnidaria. Here, we report a comparative analysis of the draft genome of an emerging cnidarian model, the starlet sea anemone Nematostella vectensis. The sea anemone genome is complex, with a gene repertoire, exon-intron structure, and large-scale gene linkage more similar to vertebrates than to flies or nematodes, implying that the genome of the eumetazoan ancestor was similarly complex. Nearly one-fifth of the inferred genes of the ancestor are eumetazoan novelties, which are enriched for animal functions like cell signaling, adhesion, and synaptic transmission. Analysis of diverse pathways suggests that these gene "inventions" along the lineage leading to animals were likely already well integrated with preexisting eukaryotic genes in the eumetazoan progenitor.
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            A map of the interactome network of the metazoan C. elegans.

            To initiate studies on how protein-protein interaction (or "interactome") networks relate to multicellular functions, we have mapped a large fraction of the Caenorhabditis elegans interactome network. Starting with a subset of metazoan-specific proteins, more than 4000 interactions were identified from high-throughput, yeast two-hybrid (HT=Y2H) screens. Independent coaffinity purification assays experimentally validated the overall quality of this Y2H data set. Together with already described Y2H interactions and interologs predicted in silico, the current version of the Worm Interactome (WI5) map contains approximately 5500 interactions. Topological and biological features of this interactome network, as well as its integration with phenome and transcriptome data sets, lead to numerous biological hypotheses.
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              Toward improving Caenorhabditis elegans phenome mapping with an ORFeome-based RNAi library.

              The recently completed Caenorhabditis elegans genome sequence allows application of high-throughput (HT) approaches for phenotypic analyses using RNA interference (RNAi). As large phenotypic data sets become available, "phenoclustering" strategies can be used to begin understanding the complex molecular networks involved in development and other biological processes. The current HT-RNAi resources represent a great asset for phenotypic profiling but are limited by lack of flexibility. For instance, existing resources do not take advantage of the latest improvements in RNAi technology, such as inducible hairpin RNAi. Here we show that a C. elegans ORFeome resource, generated with the Gateway cloning system, can be used as a starting point to generate alternative HT-RNAi resources with enhanced flexibility. The versatility inherent to the Gateway system suggests that additional HT-RNAi libraries can now be readily generated to perform gene knockdowns under various conditions, increasing the possibilities for phenome mapping in C. elegans.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                21 November 2012
                : 7
                : 11
                : e49387
                Affiliations
                [1]Department of Biological Sciences, California State University East Bay, Hayward, California, United States of America
                Dulbecco Telethon Institute at San Raffaele Scientific Institute, Italy
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: MEG SB. Performed the experiments: MG SB PC SA AA AB EB AB SKC PD MD DD SDDS BD ALD NG LG CG SH MJ SJ NJ DJ PK KK LDK LK KMK HL PM NM KM HM VM SM SM SAM SN RN CNC MN JP PP SVP AP MR MCR DR CR PS SS ST JS TQNT RU AV UV ZW ZY. Analyzed the data: MG SB PC SA AA AB EB AB SKC PD MD DD SDDS BD ALD NG LG CG SH MJ SJ NJ DJ PK KK LDK LK KMK HL PM NM KM HM VM SM SM SAM SN RN CNC MN JP PP SVP AP MR MCR DR CR PS SS ST JS TQNT RU AV UV ZW ZY. Wrote the paper: MEG SB.

                Article
                PONE-D-12-02547
                10.1371/journal.pone.0049387
                3504004
                23185324
                e94e6852-5d52-4f1f-8dfb-4aadd1daa896
                Copyright @ 2012

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 24 January 2012
                : 9 October 2012
                Page count
                Pages: 19
                Funding
                This work was funded by the Department of Biological Sciences at California State University, East Bay. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. No additional external funding was received for this study.
                Categories
                Research Article
                Biology
                Computational Biology
                Genomics
                Genome Analysis Tools
                Gene Prediction
                Molecular Genetics
                Gene Classes
                Gene Identification and Analysis
                Sequence Analysis
                Evolutionary Biology
                Evolutionary Systematics
                Phylogenetics
                Comparative Genomics
                Evolutionary Genetics
                Genomic Evolution
                Genetics
                Gene Function
                Model Organisms
                Animal Models
                Caenorhabditis Elegans
                Molecular Cell Biology
                Membranes and Sorting

                Uncategorized
                Uncategorized

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