217
views
0
recommends
+1 Recommend
0 collections
    4
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Large-scale transcriptome analysis in chickpea ( Cicer arietinum L.), an orphan legume crop of the semi-arid tropics of Asia and Africa

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Chickpea ( Cicer arietinum L.) is an important legume crop in the semi-arid regions of Asia and Africa. Gains in crop productivity have been low however, particularly because of biotic and abiotic stresses. To help enhance crop productivity using molecular breeding techniques, next generation sequencing technologies such as Roche/454 and Illumina/Solexa were used to determine the sequence of most gene transcripts and to identify drought-responsive genes and gene-based molecular markers. A total of 103 215 tentative unique sequences (TUSs) have been produced from 435 018 Roche/454 reads and 21 491 Sanger expressed sequence tags (ESTs). Putative functions were determined for 49 437 (47.8%) of the TUSs, and gene ontology assignments were determined for 20 634 (41.7%) of the TUSs. Comparison of the chickpea TUSs with the Medicago truncatula genome assembly (Mt 3.5.1 build) resulted in 42 141 aligned TUSs with putative gene structures (including 39 281 predicted intron/splice junctions). Alignment of ∼37 million Illumina/Solexa tags generated from drought-challenged root tissues of two chickpea genotypes against the TUSs identified 44 639 differentially expressed TUSs. The TUSs were also used to identify a diverse set of markers, including 728 simple sequence repeats (SSRs), 495 single nucleotide polymorphisms (SNPs), 387 conserved orthologous sequence (COS) markers, and 2088 intron-spanning region (ISR) markers. This resource will be useful for basic and applied research for genome analysis and crop improvement in chickpea.

          Related collections

          Most cited references42

          • Record: found
          • Abstract: found
          • Article: not found

          Exploiting EST databases for the development and characterization of gene-derived SSR-markers in barley (Hordeum vulgare L.).

          A software tool was developed for the identification of simple sequence repeats (SSRs) in a barley ( Hordeum vulgare L.) EST (expressed sequence tag) database comprising 24,595 sequences. In total, 1,856 SSR-containing sequences were identified. Trimeric SSR repeat motifs appeared to be the most abundant type. A subset of 311 primer pairs flanking SSR loci have been used for screening polymorphisms among six barley cultivars, being parents of three mapping populations. As a result, 76 EST-derived SSR-markers were integrated into a barley genetic consensus map. A correlation between polymorphism and the number of repeats was observed for SSRs built of dimeric up to tetrameric units. 3'-ESTs yielded a higher portion of polymorphic SSRs (64%) than 5'-ESTs did. The estimated PIC (polymorphic information content) value was 0.45 +/- 0.03. Approximately 80% of the SSR-markers amplified DNA fragments in Hordeum bulbosum, followed by rye, wheat (both about 60%) and rice (40%). A subset of 38 EST-derived SSR-markers comprising 114 alleles were used to investigate genetic diversity among 54 barley cultivars. In accordance with a previous, RFLP-based, study, spring and winter cultivars, as well as two- and six-rowed barleys, formed separate clades upon PCoA analysis. The results show that: (1) with the software tool developed, EST databases can be efficiently exploited for the development of cDNA-SSRs, (2) EST-derived SSRs are significantly less polymorphic than those derived from genomic regions, (3) a considerable portion of the developed SSRs can be transferred to related species, and (4) compared to RFLP-markers, cDNA-SSRs yield similar patterns of genetic diversity.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            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.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Genic microsatellite markers in plants: features and applications.

              Expressed sequence tag (EST) projects have generated a vast amount of publicly available sequence data from plant species; these data can be mined for simple sequence repeats (SSRs). These SSRs are useful as molecular markers because their development is inexpensive, they represent transcribed genes and a putative function can often be deduced by a homology search. Because they are derived from transcripts, they are useful for assaying the functional diversity in natural populations or germplasm collections. These markers are valuable because of their higher level of transferability to related species, and they can often be used as anchor markers for comparative mapping and evolutionary studies. They have been developed and mapped in several crop species and could prove useful for marker-assisted selection, especially when the markers reside in the genes responsible for a phenotypic trait. Applications and potential uses of EST-SSRs in plant genetics and breeding are discussed.
                Bookmark

                Author and article information

                Journal
                Plant Biotechnol J
                Plant Biotechnol. J
                pbi
                Plant Biotechnology Journal
                Blackwell Publishing Ltd (Oxford, UK )
                1467-7644
                1467-7652
                October 2011
                : 9
                : 8
                : 922-931
                Affiliations
                [1 ]simpleInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT) Patancheru, India
                [2 ]simpleOsmania University (OU) Hyderabad, India
                [3 ]simpleNational Centre for Genome Resources (NCGR) Santa Fe, NM, USA
                [4 ]simpleUnited States Department of Agriculture-Agricultural Research Service, Corn Insects and Crop Genetics Research Unit (USDA-ARS-CICGRU) Ames, IA, USA
                [5 ]simpleDepartment of Agronomy, Iowa State University Ames, IA, USA
                [6 ]simpleNational Research Centre on Plant Biotechnology (NRCPB), IARI Campus New Delhi, India
                [7 ]simpleMax Planck Institute for Molecular Plant Physiology (MPIMPP) Am Muehlenberg, Potsdam-Golm, Germany
                [8 ]simpleJ. Craig Venter Institute (JCVI) Rockville, MD, USA
                [9 ]simpleUniversity of California Davis (UC-Davis), CA, USA
                [10 ]simpleGeneration Challenge Program (GCP) c/o CIMMYT, Mexico DF, Mexico
                Author notes
                *Correspondence (Tel +91 40 30713305; fax +91 40 30713074/3075; email r.k.varshney@ 123456cgiar.org )

                Chickpea 103 215 TUSs dataset generated in this study has been submitted to the Legume Information System (LIS) database ( http://cicar.comparative-legumes.org/data/2011/58da8857f0f21afded122214cd604b9f/transcript_contigs.fa.gz). Illumina/Solexa reads generated for ICC 4958 and ICC 1882 have been submitted to the National Center for Biotechnology Information (NCBI) short read archive under the Submission ID SRA030700.1 and Study ID SRP006045.

                Re-use of this article is permitted in accordance with the Terms and Conditions set out at http://wileyonlinelibrary.com/onlineopen#OnlineOpen_Terms

                Article
                10.1111/j.1467-7652.2011.00625.x
                3437486
                21615673
                670be814-7b4a-41d6-b168-bdf3af4cfbf3
                Plant Biotechnology Journal © 2011 Society for Experimental Biology, Association of Applied Biologists and Blackwell Publishing Ltd. No claim to original US government works

                Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

                History
                : 18 February 2011
                : 11 April 2011
                : 15 April 2011
                Categories
                Original Articles

                Biotechnology
                markers,chickpea,transcriptome,next generation sequencing,drought-responsive genes
                Biotechnology
                markers, chickpea, transcriptome, next generation sequencing, drought-responsive genes

                Comments

                Comment on this article