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      Development and use of genic molecular markers (GMMs) for construction of a transcript map of chickpea ( Cicer arietinum L.)

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          Abstract

          A transcript map has been constructed by the development and integration of genic molecular markers (GMMs) including single nucleotide polymorphism (SNP), genic microsatellite or simple sequence repeat (SSR) and intron spanning region (ISR)-based markers, on an inter-specific mapping population of chickpea, the third food legume crop of the world and the first food legume crop of India. For SNP discovery through allele re-sequencing, primer pairs were designed for 688 genes/expressed sequence tags (ESTs) of chickpea and 657 genes/ESTs of closely related species of chickpea. High-quality sequence data obtained for 220 candidate genic regions on 2–20 genotypes representing 9 Cicer species provided 1,893 SNPs with an average frequency of 1/35.83 bp and 0.34 PIC (polymorphism information content) value. On an average 2.9 haplotypes were present in 220 candidate genic regions with an average haplotype diversity of 0.6326. SNP2CAPS analysis of 220 sequence alignments, as mentioned above, provided a total of 192 CAPS candidates. Experimental analysis of these 192 CAPS candidates together with 87 CAPS candidates identified earlier through in silico mining of ESTs provided scorable amplification in 173 (62.01%) cases of which predicted assays were validated in 143 (82.66%) cases (CGMM). Alignments of chickpea unigenes with Medicago truncatula genome were used to develop 121 intron spanning region (CISR) markers of which 87 yielded scorable products. In addition, optimization of 77 EST-derived SSR (ICCeM) markers provided 51 scorable markers. Screening of easily assayable 281 markers including 143 CGMMs, 87 CISRs and 51 ICCeMs on 5 parental genotypes of three mapping populations identified 104 polymorphic markers including 90 markers on the inter-specific mapping population. Sixty-two of these GMMs together with 218 earlier published markers (including 64 GMM loci) and 20 other unpublished markers could be integrated into this genetic map. A genetic map developed here, therefore, has a total of 300 loci including 126 GMM loci and spans 766.56 cM, with an average inter-marker distance of 2.55 cM. In summary, this is the first report on the development of large-scale genic markers including development of easily assayable markers and a transcript map of chickpea. These resources should be useful not only for genome analysis and genetics and breeding applications of chickpea, but also for comparative legume genomics.

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          The online version of this article (doi:10.1007/s00122-011-1556-1) contains supplementary material, which is available to authorized users.

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          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.
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            Genomics-assisted breeding for crop improvement.

            Genomics research is generating new tools, such as functional molecular markers and informatics, as well as new knowledge about statistics and inheritance phenomena that could increase the efficiency and precision of crop improvement. In particular, the elucidation of the fundamental mechanisms of heterosis and epigenetics, and their manipulation, has great potential. Eventually, knowledge of the relative values of alleles at all loci segregating in a population could allow the breeder to design a genotype in silico and to practice whole genome selection. High costs currently limit the implementation of genomics-assisted crop improvement, particularly for inbreeding and/or minor crops. Nevertheless, marker-assisted breeding and selection will gradually evolve into 'genomics-assisted breeding' for crop improvement.
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              Functional markers in plants.

              Different approaches (including association studies) have recently been adopted for the functional characterization of allelic variation in plants and to identify sequence motifs affecting phenotypic variation. We propose the term 'functional markers' for DNA markers derived from such functionally characterized sequence motifs. Functional markers are superior to random DNA markers such as RFLPs, SSRs and AFLPs owing to complete linkage with trait locus alleles. We outline the definition, development, application and prospects of functional markers.
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                Author and article information

                Contributors
                r.k.varshney@cgiar.org
                Journal
                Theor Appl Genet
                TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
                Springer-Verlag (Berlin/Heidelberg )
                0040-5752
                1432-2242
                8 March 2011
                8 March 2011
                May 2011
                : 122
                : 8
                : 1577-1589
                Affiliations
                [1 ]International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, 502324 Andhra Pradesh India
                [2 ]Dr. Hari Singh Gaur University, Sagar, 470003 Madhya Pradesh India
                [3 ]National Centre for Genome Resources (NCGR), Santa Fe, NM 87505 USA
                [4 ]National Institute for Plant Genome Research (NIPGR), New Delhi, 110067 India
                [5 ]University of California, Davis (UC-Davis), Davis, CA 95616 USA
                [6 ]CGIAR Generation Challenge Programme (GCP), c/o CIMMYT, 06600 Mexico, DF Mexico
                Author notes

                Communicated by H. T. Nguyen.

                Article
                1556
                10.1007/s00122-011-1556-1
                3082040
                21384113
                fbe1ba5a-6259-4315-954a-2efaf4a18f9e
                © The Author(s) 2011
                History
                : 21 December 2010
                : 12 February 2011
                Categories
                Original Paper
                Custom metadata
                © Springer-Verlag 2011

                Genetics
                Genetics

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