Literature DB >> 16237206

Dense taxonomic EST sampling and its applications for molecular systematics of the Coleoptera (beetles).

Joseph Hughes1, Stuart J Longhorn, Anna Papadopoulou, Kosmas Theodorides, Alessandra de Riva, Monica Mejia-Chang, Peter G Foster, Alfried P Vogler.   

Abstract

Expressed sequence tag (EST) sequences can provide a wealth of data for phylogenetic and genomic studies, but the utility of these resources is restricted by poor taxonomic sampling. Here, we use small EST libraries (<1,000 clones) to generate phylogenetic markers across a broad sample of insects, focusing on the species-rich Coleoptera (beetles). We sequenced over 23,000 ESTs from 34 taxa, which produced 8,728 unique sequences after clustering nonredundant sequences. Between taxa, the sequences could be grouped into 731 gene clusters, with the largest corresponding to mitochondrial DNA transcripts and gene families chymotrypsin, actin, troponin, and tubulin. While levels of paralogy were high in most gene clusters, several midsized clusters including many ribosomal protein (RP) genes appeared to be free of expressed paralogs. To evaluate the utility of EST data for molecular systematics, we curated available transcripts for 66 RP genes from representatives of the major groups of Coleoptera. Using supertree and supermatrix approaches for phylogenetic analysis, the results were consistent with the emerging phylogenetic conclusions about basal relationships in Coleoptera. Numerous small EST libraries from a taxonomically densely sampled lineage can provide a core set of genes that together act as a scaffold in phylogenetic reconstruction, comparative genomics, and studies of gene evolution.

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Year:  2005        PMID: 16237206     DOI: 10.1093/molbev/msj041

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  23 in total

1.  Optimization of de novo transcriptome assembly from next-generation sequencing data.

Authors:  Yann Surget-Groba; Juan I Montoya-Burgos
Journal:  Genome Res       Date:  2010-08-06       Impact factor: 9.043

2.  Novel relationships among ten fish model species revealed based on a phylogenomic analysis using ESTs.

Authors:  Dirk Steinke; Walter Salzburger; Axel Meyer
Journal:  J Mol Evol       Date:  2006-05-11       Impact factor: 2.395

3.  Phylogenomic analysis reveals bees and wasps (Hymenoptera) at the base of the radiation of Holometabolous insects.

Authors:  Joël Savard; Diethard Tautz; Stephen Richards; George M Weinstock; Richard A Gibbs; John H Werren; Hervé Tettelin; Martin J Lercher
Journal:  Genome Res       Date:  2006-10-25       Impact factor: 9.043

4.  Leveraging skewed transcript abundance by RNA-Seq to increase the genomic depth of the tree of life.

Authors:  Chris Todd Hittinger; Mark Johnston; John T Tossberg; Antonis Rokas
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-04       Impact factor: 11.205

Review 5.  Insect phylogenomics.

Authors:  S K Behura
Journal:  Insect Mol Biol       Date:  2015-05-12       Impact factor: 3.585

6.  Identification of shared single copy nuclear genes in Arabidopsis, Populus, Vitis and Oryza and their phylogenetic utility across various taxonomic levels.

Authors:  Jill M Duarte; P Kerr Wall; Patrick P Edger; Lena L Landherr; Hong Ma; J Chris Pires; Jim Leebens-Mack; Claude W dePamphilis
Journal:  BMC Evol Biol       Date:  2010-02-24       Impact factor: 3.260

7.  Why barcode? High-throughput multiplex sequencing of mitochondrial genomes for molecular systematics.

Authors:  M J T N Timmermans; S Dodsworth; C L Culverwell; L Bocak; D Ahrens; D T J Littlewood; J Pons; A P Vogler
Journal:  Nucleic Acids Res       Date:  2010-09-28       Impact factor: 16.971

8.  Integrating multi-origin expression data improves the resolution of deep phylogeny of ray-finned fish (Actinopterygii).

Authors:  Ming Zou; Baocheng Guo; Wenjing Tao; Gloria Arratia; Shunping He
Journal:  Sci Rep       Date:  2012-09-18       Impact factor: 4.379

9.  HaMStR: profile hidden markov model based search for orthologs in ESTs.

Authors:  Ingo Ebersberger; Sascha Strauss; Arndt von Haeseler
Journal:  BMC Evol Biol       Date:  2009-07-08       Impact factor: 3.260

10.  On the phylogenetic position of Myzostomida: can 77 genes get it wrong?

Authors:  Christoph Bleidorn; Lars Podsiadlowski; Min Zhong; Igor Eeckhaut; Stefanie Hartmann; Kenneth M Halanych; Ralph Tiedemann
Journal:  BMC Evol Biol       Date:  2009-07-01       Impact factor: 3.260

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