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      DNA barcoding and morphological analysis for rapid identification of most economically important crop-infesting Sunn pests belonging to Eurygaster Laporte, 1833 (Hemiptera, Scutelleridae)

      , , , ,
      ZooKeys
      Pensoft Publishers

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          Abstract

          Abstract The genus Eurygaster Laporte, 1833 includes ten species five of which inhabit the European part of Russia. The harmful species of the genus is E. integriceps . Eurygaster species identification based on the morphological traits is very difficult, while that of the species at the egg or larval stages is extremely difficult or impossible. Eurygaster integriceps , E. maura , and E. testudinaria differ only slightly between each other morphologically, E. maura and E. testudinaria being almost indiscernible. DNA barcoding based on COI sequences have shown that E. integriceps differs significantly from these closely related species, which enables its rapid and accurate identification. Based on COI nucleotide sequences, three species of Sunn pests, E. maura , E. testudinarius , E. dilaticollis , could not be differentiated from each other through DNA barcoding. The difference in the DNA sequences between the COI gene of E. integriceps and COI genes of E. maura and E. testudinarius was more than 4%. In the present study DNA barcoding of two Eurygaster species was performed for the first time on E. integriceps , the most dangerous pest in the genus, and E. dilaticollis that only inhabits natural ecosystems. The PCR-RFLP method was developed in this work for the rapid identification of E. integriceps .

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          Most cited references28

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          MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

          We announce the release of an advanced version of the Molecular Evolutionary Genetics Analysis (MEGA) software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis. In version 6.0, MEGA now enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny. A new Timetree Wizard in MEGA6 facilitates this timetree inference by providing a graphical user interface (GUI) to specify the phylogeny and calibration constraints step-by-step. This version also contains enhanced algorithms to search for the optimal trees under evolutionary criteria and implements a more advanced memory management that can double the size of sequence data sets to which MEGA can be applied. Both GUI and command-line versions of MEGA6 can be downloaded from www.megasoftware.net free of charge.
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            The neighbor-joining method: a new method for reconstructing phylogenetic trees.

            N Saitou, M Nei (1987)
            A new method called the neighbor-joining method is proposed for reconstructing phylogenetic trees from evolutionary distance data. The principle of this method is to find pairs of operational taxonomic units (OTUs [= neighbors]) that minimize the total branch length at each stage of clustering of OTUs starting with a starlike tree. The branch lengths as well as the topology of a parsimonious tree can quickly be obtained by using this method. Using computer simulation, we studied the efficiency of this method in obtaining the correct unrooted tree in comparison with that of five other tree-making methods: the unweighted pair group method of analysis, Farris's method, Sattath and Tversky's method, Li's method, and Tateno et al.'s modified Farris method. The new, neighbor-joining method and Sattath and Tversky's method are shown to be generally better than the other methods.
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              A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences.

              Some simple formulae were obtained which enable us to estimate evolutionary distances in terms of the number of nucleotide substitutions (and, also, the evolutionary rates when the divergence times are known). In comparing a pair of nucleotide sequences, we distinguish two types of differences; if homologous sites are occupied by different nucleotide bases but both are purines or both pyrimidines, the difference is called type I (or "transition" type), while, if one of the two is a purine and the other is a pyrimidine, the difference is called type II (or "transversion" type). Letting P and Q be respectively the fractions of nucleotide sites showing type I and type II differences between two sequences compared, then the evolutionary distance per site is K = -(1/2) ln [(1-2P-Q) square root of 1-2Q]. The evolutionary rate per year is then given by k = K/(2T), where T is the time since the divergence of the two sequences. If only the third codon positions are compared, the synonymous component of the evolutionary base substitutions per site is estimated by K'S = -(1/2) ln (1-2P-Q). Also, formulae for standard errors were obtained. Some examples were worked out using reported globin sequences to show that synonymous substitutions occur at much higher rates than amino acid-altering substitutions in evolution.
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                Author and article information

                Journal
                ZooKeys
                ZK
                Pensoft Publishers
                1313-2970
                1313-2989
                October 04 2017
                October 04 2017
                : 706
                : 51-71
                Article
                10.3897/zookeys.706.13888
                7f3bd602-2435-43d9-9289-9143213a9dfe
                © 2017

                http://creativecommons.org/licenses/by/4.0/

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