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      The Complete Mitochondrial Genome and Novel Gene Arrangement of the Unique-Headed Bug Stenopirates sp. (Hemiptera: Enicocephalidae)

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          Abstract

          Many of true bugs are important insect pests to cultivated crops and some are important vectors of human diseases, but few cladistic analyses have addressed relationships among the seven infraorders of Heteroptera. The Enicocephalomorpha and Nepomorpha are consider the basal groups of Heteroptera, but the basal-most lineage remains unresolved. Here we report the mitochondrial genome of the unique-headed bug Stenopirates sp., the first mitochondrial genome sequenced from Enicocephalomorpha. The Stenopirates sp. mitochondrial genome is a typical circular DNA molecule of 15, 384 bp in length, and contains 37 genes and a large non-coding fragment. The gene order differs substantially from other known insect mitochondrial genomes, with rearrangements of both tRNA genes and protein-coding genes. The overall AT content (82.5%) of Stenopirates sp. is the highest among all the known heteropteran mitochondrial genomes. The strand bias is consistent with other true bugs with negative GC-skew and positive AT-skew for the J-strand. The heteropteran mitochondrial atp8 exhibits the highest evolutionary rate, whereas cox1 appears to have the lowest rate. Furthermore, a negative correlation was observed between the variation of nucleotide substitutions and the GC content of each protein-coding gene. A microsatellite was identified in the putative control region. Finally, phylogenetic reconstruction suggests that Enicocephalomorpha is the sister group to all the remaining Heteroptera.

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          Universal and rapid salt-extraction of high quality genomic DNA for PCR-based techniques.

          A very simple, fast, universally applicable and reproducible method to extract high quality megabase genomic DNA from different organisms is described. We applied the same method to extract high quality complex genomic DNA from different tissues (wheat, barley, potato, beans, pear and almond leaves as well as fungi, insects and shrimps' fresh tissue) without any modification. The method does not require expensive and environmentally hazardous reagents and equipment. It can be performed even in low technology laboratories. The amount of tissue required by this method is approximately 50-100 mg. The quantity and the quality of the DNA extracted by this method is high enough to perform hundreds of PCR-based reactions and also to be used in other DNA manipulation techniques such as restriction digestion, Southern blot and cloning.
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            PHYML Online—a web server for fast maximum likelihood-based phylogenetic inference

            PHYML Online is a web interface to PHYML, a software that implements a fast and accurate heuristic for estimating maximum likelihood phylogenies from DNA and protein sequences. This tool provides the user with a number of options, e.g. nonparametric bootstrap and estimation of various evolutionary parameters, in order to perform comprehensive phylogenetic analyses on large datasets in reasonable computing time. The server and its documentation are available at .
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              Le piégeage lumineux, moyen d'approche de la faune entomologique d'un grand fleuve (Ephéméroptères, en particulier)

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                3 January 2012
                : 7
                : 1
                : e29419
                Affiliations
                [1 ]Department of Entomology, China Agricultural University, Beijing, China
                [2 ]Entomological Laboratory, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, Fukuoka, Japan
                [3 ]Department of Zoology, Faculty of Science, Charles University, Praha, Czech Republic
                [4 ]Department of Entomology, University of Kentucky, Lexington, Kentucky, United States of America
                California State University Fullerton, United States of America
                Author notes

                Conceived and designed the experiments: H. Li WZC. Performed the experiments: H. Li. Analyzed the data: H. Li. Contributed reagents/materials/analysis tools: H. Li H. Liu AMS. Wrote the paper: H. Li XZ. Contributed intellectually during the design and implementation of this study, and during the writing of the manuscript: WZC XZ PŠ.

                Article
                PONE-D-11-18892
                10.1371/journal.pone.0029419
                3250431
                22235294
                18999af6-6880-44ed-aefe-f2ade6a43e1b
                Li et al. 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
                : 26 September 2011
                : 28 November 2011
                Page count
                Pages: 13
                Categories
                Research Article
                Agriculture
                Pest Control
                Biology
                Computational Biology
                Genomics
                Evolutionary Biology
                Evolutionary Systematics
                Taxonomy
                Genomics
                Zoology

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                Uncategorized

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