Publications of NIPGR Scientists

Permanent URI for this communityhttps://ndkr-library.nipgr.ac.in/handle/123456789/1

Browse

Author: search.filters.author.Singh, Vikash K.Subject: search.filters.subject.Chickpea

Search Results

Now showing 1 - 4 of 4
  • Thumbnail Image
    Item
    Discovery of molecular markers for Fusarium wilt via transcriptome sequencing of chickpea cultivars
    (Springer, 2015) Jain, Mukesh; Pole, Anil K.; Singh, Vikash K.; Ravikumar, Ramapura L.; Garg, Rohini
    The wilt caused by Fusarium oxysporum f.sp. Ciceris is a major problem for chickpea. The large-scale discovery of DNA polymorphisms in different cultivars can provide insights into the genetic basis of phenotypic differences. In the present study, we sequenced the transcriptomes of four chickpea cultivars with contrasting response to Fusarium infection, including susceptible JG62 and resistant/tolerant ICCV2, K850 and WR315. Based on the analysis of their transcriptome sequences, we identified at least 303 polymorphic microsatellites, of which 64 % could be physically mapped on the chickpea genome. Further, we identified a total of 14,462 single nucleotide polymorphisms (SNPs) and 1864 insertions/deletions (InDels) among the chickpea cultivars analysed. More than 50 % of the SNPs and 19 % of the InDels were detected in the predicted coding regions, and about 46 % of these SNPs resulted in nonsynonymous changes. In addition, we identified at least 60 large-effect SNPs and 248 InDels that affected the integrity of the encoded protein. Several defence-related genes involved in different cellular processes were found to harbour nonsynonymous and/or large-effect SNPs and/or InDels. These data will provide functional markers and promising target genes for wilt resistance and present a valuable resource for molecular breeding for this important trait in chickpea.
  • Thumbnail Image
    Item
    Transcriptome profiling for discovery of genes involved in shoot apical meristem and flower development
    (Elsevier B.V., 2014) Singh, Vikash K.; Jain, Mukesh
    Flower development is one of the major developmental processes that governs seed setting in angiosperms. However, little is known about the molecular mechanisms underlying flower development in legumes. Employing RNA-seq for various stages of flower development and few vegetative tissues in chickpea, we identified differentially expressed genes in flower tissues/stages in comparison to vegetative tissues, which are related to various biological processes and molecular functions during flower development. Here, we provide details of experimental methods, RNA-seq data (available at Gene Expression Omnibus database under GSE42679) and analysis pipeline published by Singh and colleagues in the Plant Biotechnology Journal (Singh et al., 2013), along with additional analysis for discovery of genes involved in shoot apical meristem (SAM) development. Our data provide a resource for exploring the complex molecular mechanisms underlying SAM and flower development and identification of gene targets for functional and applied genomics in legumes.
  • Thumbnail Image
    Item
    A global view of transcriptome dynamics during flower development in chickpea by deep sequencing
    (John Wiley & Sons Ltd, 2013) Singh, Vikash K.; Garg, Rohini; Jain, Mukesh
    Measurement of gene expression can provide important clues about gene function and molecular basis of developmental processes. Here, we have analysed the chickpea transcriptome in vegetative and flower tissues by exploiting the potential of high-throughput sequencing to measure gene expression. We mapped more than 295 million reads to quantify the transcript abundance during flower development. We detected the expression of more than 90% genes in at least one tissue analysed. We found quite a large number of genes were differentially expressed during flower development as compared to vegetative tissues. Further, we identified several genes expressed in a stage-specific manner. Various transcription factor families and metabolic pathways involved in flower development were elucidated. The members of MADS-box family were most represented among the transcription factor genes up-regulated during various stages of flower development. The abundant expression of several well-known genes implicated in flower development in chickpea flower development stages confirmed our results. In addition, we detected the expression specificities of lineage-specific genes during flower development. The expression data presented in this study is the most comprehensive dataset available for chickpea as of now and will serve as resource for unraveling the functions of many specific genes involved in flower development in chickpea and other legumes.
  • Thumbnail Image
    Item
    Comparative analysis of kabuli chickpea transcriptome with desi and wild chickpea provides a rich resource for development of functional markers
    (Public Library of Science, 2012) Agarwal, Gaurav; Jhanwar, Shalu; Priya, Pushp; Singh, Vikash K.; Saxena, Maneesha S.; Parida, Swarup K.; Garg, Rohini; Tyagi, Akhilesh K.; Jain, Mukesh
    Chickpea (Cicer arietinum L.) is an important crop legume plant with high nutritional value. The transcriptomes of desi and wild chickpea have already been sequenced. In this study, we sequenced the transcriptome of kabuli chickpea, C. arietinum (genotype ICCV2), having higher commercial value, using GS-FLX Roche 454 and Illumina technologies. The assemblies of both Roche 454 and Illumina datasets were optimized using various assembly programs and parameters. The final optimized hybrid assembly generated 43,389 transcripts with an average length of 1065 bp and N50 length of 1653 bp representing 46.2 Mb of kabuli chickpea transcriptome. We identified a total of 5409 simple sequence repeats (SSRs) in these transcript sequences. Among these, at least 130 and 493 SSRs were polymorphic with desi (ICC4958) and wild (PI489777) chickpea, respectively. In addition, a total of 1986 and 37,954 single nucleotide polymorphisms (SNPs) were predicted in kabuli/desi and kabuli/wild genotypes, respectively. The SNP frequency was 0.043 SNP per kb for kabuli/desi and 0.821 SNP per kb for kabuli/wild, reflecting very low genetic diversity in chickpea. Further, SSRs and SNPs present in tissue-specific and transcription factor encoding transcripts have been identified. The experimental validation of a selected set of polymorphic SSRs and SNPs exhibited high intra-specific polymorphism potential between desi and kabuli chickpea, suggesting their utility in large-scale genotyping applications. The kabuli chickpea gene index assembled, and SSRs and SNPs identified in this study will serve as useful genomic resource for genetic improvement of chickpea.