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      New insights into the wheat chromosome 4D structure and virtual gene order, revealed by survey pyrosequencing

      research-article
      a , b , c , 1 , d , 1 , e , 1 , a , c , 1 , b , c , f , g , i , i , d , i , e , h , j , * , b , c , ** , f , ***
      Plant Science
      Elsevier Ireland
      Bd, Brachypodium distachyon, CDS, coding DNA sequences, dN/dS, non-synonymous-to-synonymous substitutions, EST, expressed sequence tag, ISBP, insertion site-based polymorphism, IWGSC, International Wheat Genome Sequencing Consortium, LMP, long mate pair, MDA, multiple displacement amplification, NGS, next generation sequencing, Os, Oryza sativa – rice, Sb, Sorghum bicolor – sorghum, SE, single end, SSR, single sequence repeat, SNP, single nucleotide polymorphism, Chromosome 4D survey sequence, Gene annotation, Gene content, Synteny, Virtual gene order, Triticum aestivum

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          Highlights

          • Survey sequence of T. aestivum chromosome 4D was obtained by pyrosequencing.

          • Near 5700 genes were predicted on 4D chromosome, ∼2200 on 4DS and ∼3500 on 4DL.

          • A 4D virtual gene order based on synteny with orthologous gene loci is proposed.

          • Among group 4, higher collinearity exists between 4D and 4B as compared to 4A.

          • Complementary data to that provided by IWGSC is presented, available at NCBI.

          Abstract

          Survey sequencing of the bread wheat ( Triticum aestivum L.) genome (AABBDD) has been approached through different strategies delivering important information. However, the current wheat sequence knowledge is not complete. The aim of our study is to provide different and complementary set of data for chromosome 4D. A survey sequence was obtained by pyrosequencing of flow-sorted 4DS (7.2×) and 4DL (4.1×) arms. Single ends (SE) and long mate pairs (LMP) reads were assembled into contigs (223 Mb) and scaffolds (65 Mb) that were aligned to Aegilops tauschii draft genome (DD), anchoring 34 Mb to chromosome 4. Scaffolds annotation rendered 822 gene models. A virtual gene order comprising 1973 wheat orthologous gene loci and 381 wheat gene models was built. This order was largely consistent with the scaffold order determined based on a published high density map from the Ae. tauschii chromosome 4, using bin-mapped 4D ESTs as a common reference. The virtual order showed a higher collinearity with homeologous 4B compared to 4A. Additionally, a virtual map was constructed and ∼5700 genes (∼2200 on 4DS and ∼3500 on 4DL) predicted. The sequence and virtual order obtained here using the 454 platform were compared with the Illumina one used by the IWGSC, giving complementary information.

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          Most cited references64

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            The impact of next-generation sequencing technology on genetics.

            If one accepts that the fundamental pursuit of genetics is to determine the genotypes that explain phenotypes, the meteoric increase of DNA sequence information applied toward that pursuit has nowhere to go but up. The recent introduction of instruments capable of producing millions of DNA sequence reads in a single run is rapidly changing the landscape of genetics, providing the ability to answer questions with heretofore unimaginable speed. These technologies will provide an inexpensive, genome-wide sequence readout as an endpoint to applications ranging from chromatin immunoprecipitation, mutation mapping and polymorphism discovery to noncoding RNA discovery. Here I survey next-generation sequencing technologies and consider how they can provide a more complete picture of how the genome shapes the organism.
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              Estimating synonymous and nonsynonymous substitution rates under realistic evolutionary models.

              Q. Z. Yang (2000)
              Approximate methods for estimating the numbers of synonymous and nonsynonymous substitutions between two DNA sequences involve three steps: counting of synonymous and nonsynonymous sites in the two sequences, counting of synonymous and nonsynonymous differences between the two sequences, and correcting for multiple substitutions at the same site. We examine complexities involved in those steps and propose a new approximate method that takes into account two major features of DNA sequence evolution: transition/transversion rate bias and base/codon frequency bias. We compare the new method with maximum likelihood, as well as several other approximate methods, by examining infinitely long sequences, performing computer simulations, and analyzing a real data set. The results suggest that when there are transition/transversion rate biases and base/codon frequency biases, previously described approximate methods for estimating the nonsynonymous/synonymous rate ratio may involve serious biases, and the bias can be both positive and negative. The new method is, in general, superior to earlier approximate methods and may be useful for analyzing large data sets, although maximum likelihood appears to always be the method of choice.
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                Author and article information

                Contributors
                Journal
                Plant Sci
                Plant Sci
                Plant Science
                Elsevier Ireland
                0168-9452
                1873-2259
                1 April 2015
                April 2015
                : 233
                : 200-212
                Affiliations
                [a ]Estación Experimental Agropecuaria Marcos Juárez, Instituto Nacional de Tecnología Agropecuaria (INTA), Marcos Juárez, Córdoba, Argentina
                [b ]Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA) INTA, Hurlingham, Buenos Aires, Argentina
                [c ]Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
                [d ]The Genome Analysis Centre (TGAC), Norwich Research Park, Norwich NR4 7UH, UK
                [e ]MIPS/IBIS, Helmholtz Zentrum München, 85764 Neuherberg, Germany
                [f ]CERZOS (Centro de Recursos Naturales Renovables de la Zona Semiárida), (CCT-CONICET-Bahía Blanca) and Universidad Nacional del Sur, Bahía Blanca, Buenos Aires, Argentina
                [g ]INRA-UMR 1095, Genetics, Diversity and Ecophysiology of Cereals, Institut National de la Recherche Agronomique-Université Blaise Pascal, Clermont-Ferrand, France
                [h ]Bayer Crop Science, 3500 Paramount Parkway Morrisville, NC 27560, USA
                [i ]Centre of the Region Haná for Biotechnological and Agricultural Research, Institute of Experimental Botany, Sokolovska 6, CZ-77200 Olomouc, Czech Republic
                [j ]Instituto de Recursos Biológicos, CIRN, INTA, Hurlingham, Buenos Aires, Argentina
                Author notes
                [* ]Corresponding author at: Instituto de Recursos Biológicos, CIRN, INTA, Hurlingham,Buenos Aires, Argentina. tranquilli.gabriela@ 123456inta.gob.ar
                [** ]Corresponding author at: Instituto de Biotecnología, Centro Investigación en Ciencias Veterinarias y Agronómicas (CICVyA) INTA, Hurlingham, Buenos Aires, Argentina. paniego.norma@ 123456inta.gob.ar
                [*** ]Corresponding author at: CERZOS and Universidad Nacional del Sur (CCT-CONICET Bahía Blanca), Camino de la Carrindanga Km 7, 8000 Bahía Blanca, Buenos Aires, Argentina. Tel.: +54 291 4861666; fax: +54 291 4862882. echeniq@ 123456criba.edu.ar
                [1]

                These authors contributed equally to this work.

                Article
                S0168-9452(14)00291-X
                10.1016/j.plantsci.2014.12.004
                4352925
                25711827
                abdbb1d5-b00f-40d7-b935-325c2efa16bf
                © 2014 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 1 September 2014
                : 21 November 2014
                : 2 December 2014
                Categories
                Article

                Plant science & Botany
                bd, brachypodium distachyon,cds, coding dna sequences,dn/ds, non-synonymous-to-synonymous substitutions,est, expressed sequence tag,isbp, insertion site-based polymorphism,iwgsc, international wheat genome sequencing consortium,lmp, long mate pair,mda, multiple displacement amplification,ngs, next generation sequencing,os, oryza sativa – rice,sb, sorghum bicolor – sorghum,se, single end,ssr, single sequence repeat,snp, single nucleotide polymorphism,chromosome 4d survey sequence,gene annotation,gene content,synteny,virtual gene order,triticum aestivum

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