Advances in Pigeonpea Genomics View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Abhishek Bohra , Rachit K. Saxena , K. B. Saxena , C. V. Sameerkumar , Rajeev K. Varshney

ABSTRACT

Pigeonpea, a member of family Fabaceae, is one of the important food legumes cultivated in tropical and subtropical regions. Due to its inherent properties to withstand harsh environments, it plays a critical role in ensuring sustainability in the subsistence agriculture. Furthermore, plasticity in the maturity duration imparts it a greater adaptability in a variety of cropping systems. In the post genomics era, the importance of pigeonpea is further evident from the fact that pigeonpea has emerged as first non-industrial legume crop for which the whole genome sequence has been completed. It revealed 605.78 Mb of assembled and anchored sequence as against the predicted 833 Mb genome consequently representing 72.8 % of the whole genome. In order to perform genetic and genomic analysis various molecular markers like random amplified polymorphic DNA (RAPD), restriction fragment length polymorphism (RFLP), amplified fragment length polymorphism (AFLP), simple sequence repeat (SSR), diversity array technology (DArT), single feature polymorphism (SFP), and single nucleotide polymorphism (SNP) were employed. So far four transcriptome assemblies have been constructed and different sets of EST-SSRs were developed and validated in a panel of diverse pigeonpea genotypes. Extensive survey of BAC-end sequences (BESs) provided 3,072 BES-SSRs and all these BES-SSRs were further used for linkage analysis and trait mapping. To make the available linkage information more useful, six intra-specific genetic maps were joined together into a single consensus genetic map providing map positions to a total of 339 SSR markers at map coverage of 1,059 cM. However, earlier very few linkage maps were available in the crop because of non-availability of genomic resources. Several quantitative trait loci (QTLs) associated with traits of agronomic interest including QTLs for sterility mosaic disease, fertility restoration, plant type and earliness have been identified and validated. To strengthen the traditional breeding, plenty of genomics tools and technologies are now available for integration in regular pigeonpea breeding schemes. This article presents the progress made in the area of pigeonpea genomics and outlines its applications in crop breeding for pigeonpea improvement. More... »

PAGES

95-110

References to SciGraph publications

  • 2006-05. Identification of two RAPD markers genetically linked to a recessive allele of a Fusarium wilt resistance gene in pigeonpea (Cajanus cajan L. Millsp.) in EUPHYTICA
  • 2002-05. Diversity in selected wild and cultivated species of pigeonpea using RFLP of mtDNA in EUPHYTICA
  • 2012-12. Molecular mapping of QTLs for plant type and earliness traits in pigeonpea (Cajanus cajanL. Millsp.) in BMC GENETICS
  • 1995-11. Genetic fingerprinting of pigeonpea [Cajanus cajan (L.) Millsp.] and its wild relatives using RAPD markers in THEORETICAL AND APPLIED GENETICS
  • 2012-01. The first draft of the pigeonpea genome sequence in JOURNAL OF PLANT BIOCHEMISTRY AND BIOTECHNOLOGY
  • 2009-12. New microsatellite markers for pigeonpea (cajanus cajan (L.) millsp.) in BMC RESEARCH NOTES
  • 2010-12. Integration of physical and genetic maps of common bean through BAC-derived microsatellite markers in BMC GENOMICS
  • 2007-07. Construction and screening of BAC libraries made from Brachypodium genomic DNA in NATURE PROTOCOLS
  • 2012-01. Draft genome sequence of pigeonpea (Cajanus cajan), an orphan legume crop of resource-poor farmers in NATURE BIOTECHNOLOGY
  • 2011-12. Development of genic-SSR markers by deep transcriptome sequencing in pigeonpea [Cajanus cajan (L.) Millspaugh] in BMC PLANT BIOLOGY
  • 2011-12. Single feature polymorphisms (SFPs) for drought tolerance in pigeonpea (Cajanus spp.) in FUNCTIONAL & INTEGRATIVE GENOMICS
  • 2006-08. Low level of genetic diversity in cultivated Pigeonpea compared to its wild relatives is revealed by diversity arrays technology in THEORETICAL AND APPLIED GENETICS
  • 2010-12. The first set of EST resource for gene discovery and marker development in pigeonpea (Cajanus cajanL.) in BMC PLANT BIOLOGY
  • 2006-05. AFLP Fingerprinting in Pigeonpea (Cajanus cajan (L.) Millsp.) and its Wild Relatives in GENETIC RESOURCES AND CROP EVOLUTION
  • 2010-10. Pigeonpea genomics initiative (PGI): an international effort to improve crop productivity of pigeonpea (Cajanus cajan L.) in MOLECULAR BREEDING
  • 2012-10. An intra-specific consensus genetic map of pigeonpea [Cajanus cajan (L.) Millspaugh] derived from six mapping populations in THEORETICAL AND APPLIED GENETICS
  • 2010-08. Application of SSR markers for molecular characterization of hybrid parents and purity assessment of ICPH 2438 hybrid of pigeonpea [Cajanus cajan (L.) Millspaugh] in MOLECULAR BREEDING
  • 2011-04. The first genetic map of pigeon pea based on diversity arrays technology (DArT) markers in JOURNAL OF GENETICS
  • 2011-12. Analysis of BAC-end sequences (BESs) and development of BES-SSR markers for genetic mapping and hybrid purity assessment in pigeonpea (Cajanus spp.) in BMC PLANT BIOLOGY
  • Book

    TITLE

    Legumes in the Omic Era

    ISBN

    978-1-4614-8369-4
    978-1-4614-8370-0

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-1-4614-8370-0_5

    DOI

    http://dx.doi.org/10.1007/978-1-4614-8370-0_5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1021519442


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Indian Institute of Pulses Research", 
              "id": "https://www.grid.ac/institutes/grid.464590.a", 
              "name": [
                "Crop Improvement Division, Indian Institute of Pulses Research, Kanpur, Uttar Pradesh, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bohra", 
            "givenName": "Abhishek", 
            "id": "sg:person.01152562226.96", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152562226.96"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "International Crops Research Institute for the Semi-Arid Tropics", 
              "id": "https://www.grid.ac/institutes/grid.419337.b", 
              "name": [
                "Center of Excellence in Genomics (CEG), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Andhra Pradesh, 502324, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Saxena", 
            "givenName": "Rachit K.", 
            "id": "sg:person.01351137565.84", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01351137565.84"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "International Crops Research Institute for the Semi-Arid Tropics", 
              "id": "https://www.grid.ac/institutes/grid.419337.b", 
              "name": [
                "Pigeonpea Breeding, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Andhra Pradesh, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Saxena", 
            "givenName": "K. B.", 
            "id": "sg:person.012307462732.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012307462732.08"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "International Crops Research Institute for the Semi-Arid Tropics", 
              "id": "https://www.grid.ac/institutes/grid.419337.b", 
              "name": [
                "Pigeonpea Breeding, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Andhra Pradesh, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sameerkumar", 
            "givenName": "C. V.", 
            "id": "sg:person.0700251546.57", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700251546.57"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "International Crops Research Institute for the Semi-Arid Tropics", 
              "id": "https://www.grid.ac/institutes/grid.419337.b", 
              "name": [
                "Center of Excellence in Genomics (CEG), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Andhra Pradesh, 502324, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Varshney", 
            "givenName": "Rajeev K.", 
            "id": "sg:person.0731607426.14", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731607426.14"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.fcr.2011.04.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002135580"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10142-011-0227-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004532682", 
              "https://doi.org/10.1007/s10142-011-0227-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10142-011-0227-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004532682", 
              "https://doi.org/10.1007/s10142-011-0227-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0905886106", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004827667"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1439-0523.2007.01324.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014265757"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1471-8278.2001.00109.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014677886"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015243219", 
              "https://doi.org/10.1038/nbt.2022"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10722-004-2031-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015508911", 
              "https://doi.org/10.1007/s10722-004-2031-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10722-004-2031-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015508911", 
              "https://doi.org/10.1007/s10722-004-2031-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-006-0317-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018098309", 
              "https://doi.org/10.1007/s00122-006-0317-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-006-0317-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018098309", 
              "https://doi.org/10.1007/s00122-006-0317-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/27.6.1539", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018411441"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/dnares/dss025", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018755125"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1015759318497", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019641752", 
              "https://doi.org/10.1023/a:1015759318497"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s1479262110000419", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021586726"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1439-0523.2009.01680.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022071644"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1439-0523.2009.01680.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022071644"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-012-1916-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022680095", 
              "https://doi.org/10.1007/s00122-012-1916-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0027275", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022900803"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11032-010-9459-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023765209", 
              "https://doi.org/10.1007/s11032-010-9459-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11032-010-9459-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023765209", 
              "https://doi.org/10.1007/s11032-010-9459-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/dnares/dsr007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024064970"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1467-7652.2012.00710.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027191268"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0039563", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028034960"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.pbi.2008.12.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028414688"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-11-436", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029546230", 
              "https://doi.org/10.1186/1471-2164-11-436"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2007.204", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029904365", 
              "https://doi.org/10.1038/nprot.2007.204"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-11-56", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032711849", 
              "https://doi.org/10.1186/1471-2229-11-56"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00223897", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035003300", 
              "https://doi.org/10.1007/bf00223897"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00223897", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035003300", 
              "https://doi.org/10.1007/bf00223897"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13562-011-0088-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035390896", 
              "https://doi.org/10.1007/s13562-011-0088-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-11-17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035899201", 
              "https://doi.org/10.1186/1471-2229-11-17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/mp/ssr111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037815876"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/dnares/dsp010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038014325"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/dnares/dsp010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038014325"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12041-011-0050-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038210834", 
              "https://doi.org/10.1007/s12041-011-0050-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10681-005-9059-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039285783", 
              "https://doi.org/10.1007/s10681-005-9059-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10681-005-9059-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039285783", 
              "https://doi.org/10.1007/s10681-005-9059-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2156-13-84", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040869027", 
              "https://doi.org/10.1186/1471-2156-13-84"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tibtech.2010.06.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042017469"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-10-45", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043461815", 
              "https://doi.org/10.1186/1471-2229-10-45"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11032-009-9327-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045536615", 
              "https://doi.org/10.1007/s11032-009-9327-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11032-009-9327-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045536615", 
              "https://doi.org/10.1007/s11032-009-9327-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1756-0500-2-35", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047156146", 
              "https://doi.org/10.1186/1756-0500-2-35"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1756-0500-2-35", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047156146", 
              "https://doi.org/10.1186/1756-0500-2-35"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1000551", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051775267"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3835/plantgenome2009.03.0014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071447756"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3835/plantgenome2011.06.0019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071447801"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2014", 
        "datePublishedReg": "2014-01-01", 
        "description": "Pigeonpea, a member of family Fabaceae, is one of the important food legumes cultivated in tropical and subtropical regions. Due to its inherent properties to withstand harsh environments, it plays a critical role in ensuring sustainability in the subsistence agriculture. Furthermore, plasticity in the maturity duration imparts it a greater adaptability in a variety of cropping systems. In the post genomics era, the importance of pigeonpea is further evident from the fact that pigeonpea has emerged as first non-industrial legume crop for which the whole genome sequence has been completed. It revealed 605.78 Mb of assembled and anchored sequence as against the predicted 833 Mb genome consequently representing 72.8 % of the whole genome. In order to perform genetic and genomic analysis various molecular markers like random amplified polymorphic DNA (RAPD), restriction fragment length polymorphism (RFLP), amplified fragment length polymorphism (AFLP), simple sequence repeat (SSR), diversity array technology (DArT), single feature polymorphism (SFP), and single nucleotide polymorphism (SNP) were employed. So far four transcriptome assemblies have been constructed and different sets of EST-SSRs were developed and validated in a panel of diverse pigeonpea genotypes. Extensive survey of BAC-end sequences (BESs) provided 3,072 BES-SSRs and all these BES-SSRs were further used for linkage analysis and trait mapping. To make the available linkage information more useful, six intra-specific genetic maps were joined together into a single consensus genetic map providing map positions to a total of 339 SSR markers at map coverage of 1,059 cM. However, earlier very few linkage maps were available in the crop because of non-availability of genomic resources. Several quantitative trait loci (QTLs) associated with traits of agronomic interest including QTLs for sterility mosaic disease, fertility restoration, plant type and earliness have been identified and validated. To strengthen the traditional breeding, plenty of genomics tools and technologies are now available for integration in regular pigeonpea breeding schemes. This article presents the progress made in the area of pigeonpea genomics and outlines its applications in crop breeding for pigeonpea improvement.", 
        "editor": [
          {
            "familyName": "Gupta", 
            "givenName": "Sanjeev", 
            "type": "Person"
          }, 
          {
            "familyName": "Nadarajan", 
            "givenName": "Nagasamy", 
            "type": "Person"
          }, 
          {
            "familyName": "Gupta", 
            "givenName": "Debjyoti Sen", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-1-4614-8370-0_5", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-1-4614-8369-4", 
            "978-1-4614-8370-0"
          ], 
          "name": "Legumes in the Omic Era", 
          "type": "Book"
        }, 
        "name": "Advances in Pigeonpea Genomics", 
        "pagination": "95-110", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-1-4614-8370-0_5"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "6687922ae3abad797addd025a2bac224f2036f2af50b3674f3789b47f0e60db8"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1021519442"
            ]
          }
        ], 
        "publisher": {
          "location": "New York, NY", 
          "name": "Springer New York", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-1-4614-8370-0_5", 
          "https://app.dimensions.ai/details/publication/pub.1021519442"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T16:16", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8675_00000256.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-1-4614-8370-0_5"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-1-4614-8370-0_5'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-4614-8370-0_5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4614-8370-0_5'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4614-8370-0_5'


     

    This table displays all metadata directly associated to this object as RDF triples.

    240 TRIPLES      23 PREDICATES      65 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-1-4614-8370-0_5 schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author Nb96def61aba04fc4a36549ec6b296e82
    4 schema:citation sg:pub.10.1007/bf00223897
    5 sg:pub.10.1007/s00122-006-0317-z
    6 sg:pub.10.1007/s00122-012-1916-5
    7 sg:pub.10.1007/s10142-011-0227-2
    8 sg:pub.10.1007/s10681-005-9059-2
    9 sg:pub.10.1007/s10722-004-2031-5
    10 sg:pub.10.1007/s11032-009-9327-2
    11 sg:pub.10.1007/s11032-010-9459-4
    12 sg:pub.10.1007/s12041-011-0050-5
    13 sg:pub.10.1007/s13562-011-0088-8
    14 sg:pub.10.1023/a:1015759318497
    15 sg:pub.10.1038/nbt.2022
    16 sg:pub.10.1038/nprot.2007.204
    17 sg:pub.10.1186/1471-2156-13-84
    18 sg:pub.10.1186/1471-2164-11-436
    19 sg:pub.10.1186/1471-2229-10-45
    20 sg:pub.10.1186/1471-2229-11-17
    21 sg:pub.10.1186/1471-2229-11-56
    22 sg:pub.10.1186/1756-0500-2-35
    23 https://doi.org/10.1016/j.fcr.2011.04.011
    24 https://doi.org/10.1016/j.pbi.2008.12.004
    25 https://doi.org/10.1016/j.tibtech.2010.06.007
    26 https://doi.org/10.1017/s1479262110000419
    27 https://doi.org/10.1046/j.1471-8278.2001.00109.x
    28 https://doi.org/10.1073/pnas.0905886106
    29 https://doi.org/10.1093/dnares/dsp010
    30 https://doi.org/10.1093/dnares/dsr007
    31 https://doi.org/10.1093/dnares/dss025
    32 https://doi.org/10.1093/mp/ssr111
    33 https://doi.org/10.1093/nar/27.6.1539
    34 https://doi.org/10.1111/j.1439-0523.2007.01324.x
    35 https://doi.org/10.1111/j.1439-0523.2009.01680.x
    36 https://doi.org/10.1111/j.1467-7652.2012.00710.x
    37 https://doi.org/10.1371/journal.pgen.1000551
    38 https://doi.org/10.1371/journal.pone.0027275
    39 https://doi.org/10.1371/journal.pone.0039563
    40 https://doi.org/10.3835/plantgenome2009.03.0014
    41 https://doi.org/10.3835/plantgenome2011.06.0019
    42 schema:datePublished 2014
    43 schema:datePublishedReg 2014-01-01
    44 schema:description Pigeonpea, a member of family Fabaceae, is one of the important food legumes cultivated in tropical and subtropical regions. Due to its inherent properties to withstand harsh environments, it plays a critical role in ensuring sustainability in the subsistence agriculture. Furthermore, plasticity in the maturity duration imparts it a greater adaptability in a variety of cropping systems. In the post genomics era, the importance of pigeonpea is further evident from the fact that pigeonpea has emerged as first non-industrial legume crop for which the whole genome sequence has been completed. It revealed 605.78 Mb of assembled and anchored sequence as against the predicted 833 Mb genome consequently representing 72.8 % of the whole genome. In order to perform genetic and genomic analysis various molecular markers like random amplified polymorphic DNA (RAPD), restriction fragment length polymorphism (RFLP), amplified fragment length polymorphism (AFLP), simple sequence repeat (SSR), diversity array technology (DArT), single feature polymorphism (SFP), and single nucleotide polymorphism (SNP) were employed. So far four transcriptome assemblies have been constructed and different sets of EST-SSRs were developed and validated in a panel of diverse pigeonpea genotypes. Extensive survey of BAC-end sequences (BESs) provided 3,072 BES-SSRs and all these BES-SSRs were further used for linkage analysis and trait mapping. To make the available linkage information more useful, six intra-specific genetic maps were joined together into a single consensus genetic map providing map positions to a total of 339 SSR markers at map coverage of 1,059 cM. However, earlier very few linkage maps were available in the crop because of non-availability of genomic resources. Several quantitative trait loci (QTLs) associated with traits of agronomic interest including QTLs for sterility mosaic disease, fertility restoration, plant type and earliness have been identified and validated. To strengthen the traditional breeding, plenty of genomics tools and technologies are now available for integration in regular pigeonpea breeding schemes. This article presents the progress made in the area of pigeonpea genomics and outlines its applications in crop breeding for pigeonpea improvement.
    45 schema:editor N09cedd3117374cd99d29805d0dd2f371
    46 schema:genre chapter
    47 schema:inLanguage en
    48 schema:isAccessibleForFree false
    49 schema:isPartOf Nbebda40af3d04fe28b1b7103191adfb4
    50 schema:name Advances in Pigeonpea Genomics
    51 schema:pagination 95-110
    52 schema:productId N087b83250c874490979187db048bde58
    53 Nf08e71f00bf64b26b7f84bb019493b83
    54 Nf18ca638691d407184f0147431de7a29
    55 schema:publisher N92b21e27bcc149369fc46abb3dfebd31
    56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021519442
    57 https://doi.org/10.1007/978-1-4614-8370-0_5
    58 schema:sdDatePublished 2019-04-15T16:16
    59 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    60 schema:sdPublisher N02eb4ab637d14eccb7cb2155bbc6ff1c
    61 schema:url http://link.springer.com/10.1007/978-1-4614-8370-0_5
    62 sgo:license sg:explorer/license/
    63 sgo:sdDataset chapters
    64 rdf:type schema:Chapter
    65 N02eb4ab637d14eccb7cb2155bbc6ff1c schema:name Springer Nature - SN SciGraph project
    66 rdf:type schema:Organization
    67 N087b83250c874490979187db048bde58 schema:name dimensions_id
    68 schema:value pub.1021519442
    69 rdf:type schema:PropertyValue
    70 N09cedd3117374cd99d29805d0dd2f371 rdf:first Ne669c93adc944261817ac62aefce73a3
    71 rdf:rest Nd9761b16534c48269dfc2ec698d98229
    72 N3b211c6733dd48058fe0e7eb6bea0900 rdf:first N55f7bdbbb3524c72a80fb92f5948e85a
    73 rdf:rest rdf:nil
    74 N55f7bdbbb3524c72a80fb92f5948e85a schema:familyName Gupta
    75 schema:givenName Debjyoti Sen
    76 rdf:type schema:Person
    77 N63d646117de34df5bc56dc555f36203b schema:familyName Nadarajan
    78 schema:givenName Nagasamy
    79 rdf:type schema:Person
    80 N7a346788482e46789f9081154d51185d rdf:first sg:person.012307462732.08
    81 rdf:rest Nb088fcd00b8e477a8b3420360b11ba7d
    82 N92b21e27bcc149369fc46abb3dfebd31 schema:location New York, NY
    83 schema:name Springer New York
    84 rdf:type schema:Organisation
    85 N9925092653a04a1f93582248206bf78f rdf:first sg:person.0731607426.14
    86 rdf:rest rdf:nil
    87 N99ce36352a6040788986b5346334c8b6 rdf:first sg:person.01351137565.84
    88 rdf:rest N7a346788482e46789f9081154d51185d
    89 Nb088fcd00b8e477a8b3420360b11ba7d rdf:first sg:person.0700251546.57
    90 rdf:rest N9925092653a04a1f93582248206bf78f
    91 Nb96def61aba04fc4a36549ec6b296e82 rdf:first sg:person.01152562226.96
    92 rdf:rest N99ce36352a6040788986b5346334c8b6
    93 Nbebda40af3d04fe28b1b7103191adfb4 schema:isbn 978-1-4614-8369-4
    94 978-1-4614-8370-0
    95 schema:name Legumes in the Omic Era
    96 rdf:type schema:Book
    97 Nd9761b16534c48269dfc2ec698d98229 rdf:first N63d646117de34df5bc56dc555f36203b
    98 rdf:rest N3b211c6733dd48058fe0e7eb6bea0900
    99 Ne669c93adc944261817ac62aefce73a3 schema:familyName Gupta
    100 schema:givenName Sanjeev
    101 rdf:type schema:Person
    102 Nf08e71f00bf64b26b7f84bb019493b83 schema:name readcube_id
    103 schema:value 6687922ae3abad797addd025a2bac224f2036f2af50b3674f3789b47f0e60db8
    104 rdf:type schema:PropertyValue
    105 Nf18ca638691d407184f0147431de7a29 schema:name doi
    106 schema:value 10.1007/978-1-4614-8370-0_5
    107 rdf:type schema:PropertyValue
    108 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    109 schema:name Biological Sciences
    110 rdf:type schema:DefinedTerm
    111 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    112 schema:name Genetics
    113 rdf:type schema:DefinedTerm
    114 sg:person.01152562226.96 schema:affiliation https://www.grid.ac/institutes/grid.464590.a
    115 schema:familyName Bohra
    116 schema:givenName Abhishek
    117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152562226.96
    118 rdf:type schema:Person
    119 sg:person.012307462732.08 schema:affiliation https://www.grid.ac/institutes/grid.419337.b
    120 schema:familyName Saxena
    121 schema:givenName K. B.
    122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012307462732.08
    123 rdf:type schema:Person
    124 sg:person.01351137565.84 schema:affiliation https://www.grid.ac/institutes/grid.419337.b
    125 schema:familyName Saxena
    126 schema:givenName Rachit K.
    127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01351137565.84
    128 rdf:type schema:Person
    129 sg:person.0700251546.57 schema:affiliation https://www.grid.ac/institutes/grid.419337.b
    130 schema:familyName Sameerkumar
    131 schema:givenName C. V.
    132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700251546.57
    133 rdf:type schema:Person
    134 sg:person.0731607426.14 schema:affiliation https://www.grid.ac/institutes/grid.419337.b
    135 schema:familyName Varshney
    136 schema:givenName Rajeev K.
    137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731607426.14
    138 rdf:type schema:Person
    139 sg:pub.10.1007/bf00223897 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035003300
    140 https://doi.org/10.1007/bf00223897
    141 rdf:type schema:CreativeWork
    142 sg:pub.10.1007/s00122-006-0317-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1018098309
    143 https://doi.org/10.1007/s00122-006-0317-z
    144 rdf:type schema:CreativeWork
    145 sg:pub.10.1007/s00122-012-1916-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022680095
    146 https://doi.org/10.1007/s00122-012-1916-5
    147 rdf:type schema:CreativeWork
    148 sg:pub.10.1007/s10142-011-0227-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004532682
    149 https://doi.org/10.1007/s10142-011-0227-2
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1007/s10681-005-9059-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039285783
    152 https://doi.org/10.1007/s10681-005-9059-2
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1007/s10722-004-2031-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015508911
    155 https://doi.org/10.1007/s10722-004-2031-5
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1007/s11032-009-9327-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045536615
    158 https://doi.org/10.1007/s11032-009-9327-2
    159 rdf:type schema:CreativeWork
    160 sg:pub.10.1007/s11032-010-9459-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023765209
    161 https://doi.org/10.1007/s11032-010-9459-4
    162 rdf:type schema:CreativeWork
    163 sg:pub.10.1007/s12041-011-0050-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038210834
    164 https://doi.org/10.1007/s12041-011-0050-5
    165 rdf:type schema:CreativeWork
    166 sg:pub.10.1007/s13562-011-0088-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035390896
    167 https://doi.org/10.1007/s13562-011-0088-8
    168 rdf:type schema:CreativeWork
    169 sg:pub.10.1023/a:1015759318497 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019641752
    170 https://doi.org/10.1023/a:1015759318497
    171 rdf:type schema:CreativeWork
    172 sg:pub.10.1038/nbt.2022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015243219
    173 https://doi.org/10.1038/nbt.2022
    174 rdf:type schema:CreativeWork
    175 sg:pub.10.1038/nprot.2007.204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029904365
    176 https://doi.org/10.1038/nprot.2007.204
    177 rdf:type schema:CreativeWork
    178 sg:pub.10.1186/1471-2156-13-84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040869027
    179 https://doi.org/10.1186/1471-2156-13-84
    180 rdf:type schema:CreativeWork
    181 sg:pub.10.1186/1471-2164-11-436 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029546230
    182 https://doi.org/10.1186/1471-2164-11-436
    183 rdf:type schema:CreativeWork
    184 sg:pub.10.1186/1471-2229-10-45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043461815
    185 https://doi.org/10.1186/1471-2229-10-45
    186 rdf:type schema:CreativeWork
    187 sg:pub.10.1186/1471-2229-11-17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035899201
    188 https://doi.org/10.1186/1471-2229-11-17
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1186/1471-2229-11-56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032711849
    191 https://doi.org/10.1186/1471-2229-11-56
    192 rdf:type schema:CreativeWork
    193 sg:pub.10.1186/1756-0500-2-35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047156146
    194 https://doi.org/10.1186/1756-0500-2-35
    195 rdf:type schema:CreativeWork
    196 https://doi.org/10.1016/j.fcr.2011.04.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002135580
    197 rdf:type schema:CreativeWork
    198 https://doi.org/10.1016/j.pbi.2008.12.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028414688
    199 rdf:type schema:CreativeWork
    200 https://doi.org/10.1016/j.tibtech.2010.06.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042017469
    201 rdf:type schema:CreativeWork
    202 https://doi.org/10.1017/s1479262110000419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021586726
    203 rdf:type schema:CreativeWork
    204 https://doi.org/10.1046/j.1471-8278.2001.00109.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014677886
    205 rdf:type schema:CreativeWork
    206 https://doi.org/10.1073/pnas.0905886106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004827667
    207 rdf:type schema:CreativeWork
    208 https://doi.org/10.1093/dnares/dsp010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038014325
    209 rdf:type schema:CreativeWork
    210 https://doi.org/10.1093/dnares/dsr007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024064970
    211 rdf:type schema:CreativeWork
    212 https://doi.org/10.1093/dnares/dss025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018755125
    213 rdf:type schema:CreativeWork
    214 https://doi.org/10.1093/mp/ssr111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037815876
    215 rdf:type schema:CreativeWork
    216 https://doi.org/10.1093/nar/27.6.1539 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018411441
    217 rdf:type schema:CreativeWork
    218 https://doi.org/10.1111/j.1439-0523.2007.01324.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014265757
    219 rdf:type schema:CreativeWork
    220 https://doi.org/10.1111/j.1439-0523.2009.01680.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1022071644
    221 rdf:type schema:CreativeWork
    222 https://doi.org/10.1111/j.1467-7652.2012.00710.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1027191268
    223 rdf:type schema:CreativeWork
    224 https://doi.org/10.1371/journal.pgen.1000551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051775267
    225 rdf:type schema:CreativeWork
    226 https://doi.org/10.1371/journal.pone.0027275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022900803
    227 rdf:type schema:CreativeWork
    228 https://doi.org/10.1371/journal.pone.0039563 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028034960
    229 rdf:type schema:CreativeWork
    230 https://doi.org/10.3835/plantgenome2009.03.0014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071447756
    231 rdf:type schema:CreativeWork
    232 https://doi.org/10.3835/plantgenome2011.06.0019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071447801
    233 rdf:type schema:CreativeWork
    234 https://www.grid.ac/institutes/grid.419337.b schema:alternateName International Crops Research Institute for the Semi-Arid Tropics
    235 schema:name Center of Excellence in Genomics (CEG), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Andhra Pradesh, 502324, India
    236 Pigeonpea Breeding, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Andhra Pradesh, India
    237 rdf:type schema:Organization
    238 https://www.grid.ac/institutes/grid.464590.a schema:alternateName Indian Institute of Pulses Research
    239 schema:name Crop Improvement Division, Indian Institute of Pulses Research, Kanpur, Uttar Pradesh, India
    240 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...