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      Genome and transcriptome sequencing identifies breeding targets in the orphan crop tef ( Eragrostis tef)

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          Abstract

          Background

          Tef ( Eragrostis tef), an indigenous cereal critical to food security in the Horn of Africa, is rich in minerals and protein, resistant to many biotic and abiotic stresses and safe for diabetics as well as sufferers of immune reactions to wheat gluten. We present the genome of tef, the first species in the grass subfamily Chloridoideae and the first allotetraploid assembled de novo. We sequenced the tef genome for marker-assisted breeding, to shed light on the molecular mechanisms conferring tef’s desirable nutritional and agronomic properties, and to make its genome publicly available as a community resource.

          Results

          The draft genome contains 672 Mbp representing 87% of the genome size estimated from flow cytometry. We also sequenced two transcriptomes, one from a normalized RNA library and another from unnormalized RNASeq data. The normalized RNA library revealed around 38000 transcripts that were then annotated by the SwissProt group. The CoGe comparative genomics platform was used to compare the tef genome to other genomes, notably sorghum. Scaffolds comprising approximately half of the genome size were ordered by syntenic alignment to sorghum producing tef pseudo-chromosomes, which were sorted into A and B genomes as well as compared to the genetic map of tef. The draft genome was used to identify novel SSR markers, investigate target genes for abiotic stress resistance studies, and understand the evolution of the prolamin family of proteins that are responsible for the immune response to gluten.

          Conclusions

          It is highly plausible that breeding targets previously identified in other cereal crops will also be valuable breeding targets in tef. The draft genome and transcriptome will be of great use for identifying these targets for genetic improvement of this orphan crop that is vital for feeding 50 million people in the Horn of Africa.

          Electronic supplementary material

          The online version of this article (doi:10.1186/1471-2164-15-581) contains supplementary material, which is available to authorized users.

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          Most cited references58

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          CD-HIT: accelerated for clustering the next-generation sequencing data

          Summary: CD-HIT is a widely used program for clustering biological sequences to reduce sequence redundancy and improve the performance of other sequence analyses. In response to the rapid increase in the amount of sequencing data produced by the next-generation sequencing technologies, we have developed a new CD-HIT program accelerated with a novel parallelization strategy and some other techniques to allow efficient clustering of such datasets. Our tests demonstrated very good speedup derived from the parallelization for up to ∼24 cores and a quasi-linear speedup for up to ∼8 cores. The enhanced CD-HIT is capable of handling very large datasets in much shorter time than previous versions. Availability: http://cd-hit.org. Contact: liwz@sdsc.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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            The Sorghum bicolor genome and the diversification of grasses.

            Sorghum, an African grass related to sugar cane and maize, is grown for food, feed, fibre and fuel. We present an initial analysis of the approximately 730-megabase Sorghum bicolor (L.) Moench genome, placing approximately 98% of genes in their chromosomal context using whole-genome shotgun sequence validated by genetic, physical and syntenic information. Genetic recombination is largely confined to about one-third of the sorghum genome with gene order and density similar to those of rice. Retrotransposon accumulation in recombinationally recalcitrant heterochromatin explains the approximately 75% larger genome size of sorghum compared with rice. Although gene and repetitive DNA distributions have been preserved since palaeopolyploidization approximately 70 million years ago, most duplicated gene sets lost one member before the sorghum-rice divergence. Concerted evolution makes one duplicated chromosomal segment appear to be only a few million years old. About 24% of genes are grass-specific and 7% are sorghum-specific. Recent gene and microRNA duplications may contribute to sorghum's drought tolerance.
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              TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets.

              TGICL is a pipeline for analysis of large Expressed Sequence Tags (EST) and mRNA databases in which the sequences are first clustered based on pairwise sequence similarity, and then assembled by individual clusters (optionally with quality values) to produce longer, more complete consensus sequences. The system can run on multi-CPU architectures including SMP and PVM.
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                Author and article information

                Contributors
                gina@cannarozzi.com
                sonia.plaza@ips.unibe.ch
                korinna.esfeld@ips.unibe.ch
                stephanie.larti@zmk.unibe.ch
                yi.song_wilson@bluewin.ch
                dejene.kebede@ips.unibe.ch
                edouard.decastro@isb-sib.ch
                solchk2@gmail.com
                regula.bloesch@ips.unibe.ch
                laurent.farinelli@fasteris.com
                ericlyons@email.arizona.edu
                michel.schneider@isb-sib.ch
                laurent.falquet@unifr.ch
                cris.kuhlemeier@ips.unibe.ch
                kebebew.assefa@yahoo.com
                zerihun.tadele@ips.unibe.ch
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                9 July 2014
                9 July 2014
                2014
                : 15
                : 1
                : 581
                Affiliations
                [ ]Institute of Plant Sciences, University of Bern, Altenbergrain 21, Bern, CH-3013 Switzerland
                [ ]Swiss Institute of Bioinformatics, Vital-IT, Quartier Sorge - Batiment Genopode, Lausanne, 1015 Switzerland
                [ ]Ethiopian Institute of Agricultural Research, National Biotechnology Laboratory (Holetta), P.O. Box 2003, Addis Ababa, Ethiopia
                [ ]Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva 4, Switzerland
                [ ]Ethiopian Institute of Agricultural Research, Debre Zeit Agricultural Research Center, P.O. Box 32, Debre Zeit, Ethiopia
                [ ]Fasteris SA, Ch. du Pont-du-Centenaire 109, P.O. Box 28, Plan-les-Ouates, CH-1228 Switzerland
                [ ]School of Plant Sciences, Univerisity of Arizona, 1140 E. South Campus Drive, 303 Forbes Building, P.O. Box 210036, Tucson, AZ 85721-0036 USA
                [ ]Clinic for Parodontology, University of Bern, Freiburgstrasse 7, Bern, CH-3010 Switzerland
                [ ]Faculty of Science, University of Fribourg, Ch. du Musée 10, Fribourg, CH-1700 Switzerland
                Article
                6309
                10.1186/1471-2164-15-581
                4119204
                25007843
                ccb319c7-1509-46d0-bab1-1229f3fde5e3
                © Cannarozzi et al.; licensee BioMed Central Ltd. 2014

                This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 27 March 2014
                : 3 July 2014
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2014

                Genetics
                tef,eragrostis tef,genome,transcriptome,abiotic stress,prolamin
                Genetics
                tef, eragrostis tef, genome, transcriptome, abiotic stress, prolamin

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