Fine-mapping of angular leaf spot resistance gene Phg-2 in common bean and development of molecular breeding tools. View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-11

AUTHORS

Juanita Gil, Diana Solarte, Juan David Lobaton, Victor Mayor, Santos Barrera, Carlos Jara, Steve Beebe, Bodo Raatz

ABSTRACT

KEY MESSAGE: The Common Bean Angular Leaf Spot Resistance Gene Phg-2 was fine-mapped to a 409-Kbp region, and molecular markers for breeders were developed and validated in field experiments. Common bean (Phaseolus vulgaris L.) is an important food legume in Latin America, Asia and Africa. It is an important source of protein, carbohydrates and micro-minerals, particularly for smallholder farmers. Common bean productivity is affected by angular leaf spot (ALS) disease caused by the pathogenic fungus Pseudocercospora griseola, resulting in significant yield losses, particularly in low-input smallholder farming systems in the tropics. The ALS resistance gene Phg-2, which was found in several highly resistant common bean genotypes, was investigated in crosses between Mesoamerican pre-breeding lines and elite Andean breeding lines. Next-generation sequencing (NGS) data sets were used to design new SNP-based molecular markers. The Phg-2 locus was confirmed to be the major locus providing ALS resistance in these crosses. The locus was fine-mapped to a 409-Kbp region on chromosome 8. Two clusters of highly related LRR genes were identified in this region, which are the best candidate genes for Phg-2. Molecular markers were identified that are closely linked to the Phg-2 resistance gene and also highly specific to the donor germplasm. Marker-assisted selection (MAS) was used to introgress the Phg-2 resistance locus into Andean breeding germplasm using MAB lines. The usefulness of molecular markers in MAS was confirmed in several field evaluations in complex breeding crosses, under inoculation with different ALS pathotypes. This project demonstrates that NGS data are a powerful tool for the characterization of genetic loci and can be applied in the development of breeding tools. More... »

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00122-019-03334-z

DOI

http://dx.doi.org/10.1007/s00122-019-03334-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113378427

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30976830


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": "Universidad de Los Andes", 
          "id": "https://www.grid.ac/institutes/grid.7247.6", 
          "name": [
            "Universidad de Los Andes, Bogot\u00e1, Colombia."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gil", 
        "givenName": "Juanita", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tolima", 
          "id": "https://www.grid.ac/institutes/grid.412192.d", 
          "name": [
            "Universidad del Tolima, Ibagu\u00e9, Colombia."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Solarte", 
        "givenName": "Diana", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of New England", 
          "id": "https://www.grid.ac/institutes/grid.1020.3", 
          "name": [
            "Environmental and Rural Sciences School, University of New England, Armidale, Australia."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lobaton", 
        "givenName": "Juan David", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Progeny Breeding, Madrid, Colombia."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mayor", 
        "givenName": "Victor", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centro Internacional de Agricultura Tropical", 
          "id": "https://www.grid.ac/institutes/grid.418348.2", 
          "name": [
            "Centro Internacional de Agricultura Tropical (CIAT), Bean Program, Palmira, Colombia."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Barrera", 
        "givenName": "Santos", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centro Internacional de Agricultura Tropical", 
          "id": "https://www.grid.ac/institutes/grid.418348.2", 
          "name": [
            "Centro Internacional de Agricultura Tropical (CIAT), Bean Program, Palmira, Colombia."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jara", 
        "givenName": "Carlos", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centro Internacional de Agricultura Tropical", 
          "id": "https://www.grid.ac/institutes/grid.418348.2", 
          "name": [
            "Centro Internacional de Agricultura Tropical (CIAT), Bean Program, Palmira, Colombia."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Beebe", 
        "givenName": "Steve", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centro Internacional de Agricultura Tropical", 
          "id": "https://www.grid.ac/institutes/grid.418348.2", 
          "name": [
            "Centro Internacional de Agricultura Tropical (CIAT), Bean Program, Palmira, Colombia. b.raatz@cgiar.org."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Raatz", 
        "givenName": "Bodo", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1023/a:1024146710611", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002247135", 
          "https://doi.org/10.1023/a:1024146710611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11032-010-9461-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004259538", 
          "https://doi.org/10.1007/s11032-010-9461-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0019379", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005754650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1923", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006541515", 
          "https://doi.org/10.1038/nmeth.1923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1108973109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010803679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-013-2146-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010978661", 
          "https://doi.org/10.1007/s00122-013-2146-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1369-5266(00)00193-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012057946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gks596", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014785724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.105.050815", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018674119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.105.050815", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018674119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.105.050815", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018674119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkt1381", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020641403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023014918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00223642", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023728974", 
          "https://doi.org/10.1007/bf00223642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00223642", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023728974", 
          "https://doi.org/10.1007/bf00223642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024311489", 
          "https://doi.org/10.1038/ng.3008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10681-006-9158-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025532710", 
          "https://doi.org/10.1007/s10681-006-9158-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10681-006-9158-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025532710", 
          "https://doi.org/10.1007/s10681-006-9158-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3114/sim.55.1.163", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027465025"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10529-014-1548-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032740794", 
          "https://doi.org/10.1007/s10529-014-1548-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ni1410", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034869150", 
          "https://doi.org/10.1038/ni1410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ni1410", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034869150", 
          "https://doi.org/10.1038/ni1410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s1984-70332010000300008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038238770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-015-2472-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038979956", 
          "https://doi.org/10.1007/s00122-015-2472-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-015-2472-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038979956", 
          "https://doi.org/10.1007/s00122-015-2472-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1439-0434.2000.00479.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040455822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:euph.0000004948.41083.1f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042715999", 
          "https://doi.org/10.1023/b:euph.0000004948.41083.1f"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.phyto.40.120501.101443", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042819004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12864-016-2827-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043376105", 
          "https://doi.org/10.1186/s12864-016-2827-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12864-016-2827-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043376105", 
          "https://doi.org/10.1186/s12864-016-2827-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1018350826591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049939244", 
          "https://doi.org/10.1023/a:1018350826591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1094/pd-65-494", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060081333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1094/phyto-85-600", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060110005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci2000.4041130x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069026850"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci2004.1817", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069028907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci2014.09.0653", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069032524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2144/000112028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069095212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.jhered.a110142", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083485904"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3835/plantgenome2017.08.0068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101831953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1094/phyto-12-17-0426-rvw", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103283198"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1094/phyto-12-17-0426-rvw", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103283198"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-018-3117-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104694545", 
          "https://doi.org/10.1007/s00122-018-3117-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-018-3117-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104694545", 
          "https://doi.org/10.1007/s00122-018-3117-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-018-3117-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104694545", 
          "https://doi.org/10.1007/s00122-018-3117-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5897/ajb2018.16493", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105301519"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04-11", 
    "datePublishedReg": "2019-04-11", 
    "description": "KEY MESSAGE: The Common Bean Angular Leaf Spot Resistance Gene Phg-2 was fine-mapped to a 409-Kbp region, and molecular markers for breeders were developed and validated in field experiments. Common bean (Phaseolus vulgaris L.) is an important food legume in Latin America, Asia and Africa. It is an important source of protein, carbohydrates and micro-minerals, particularly for smallholder farmers. Common bean productivity is affected by angular leaf spot (ALS) disease caused by the pathogenic fungus Pseudocercospora griseola, resulting in significant yield losses, particularly in low-input smallholder farming systems in the tropics. The ALS resistance gene Phg-2, which was found in several highly resistant common bean genotypes, was investigated in crosses between Mesoamerican pre-breeding lines and elite Andean breeding lines. Next-generation sequencing (NGS) data sets were used to design new SNP-based molecular markers. The Phg-2 locus was confirmed to be the major locus providing ALS resistance in these crosses. The locus was fine-mapped to a 409-Kbp region on chromosome 8. Two clusters of highly related LRR genes were identified in this region, which are the best candidate genes for Phg-2. Molecular markers were identified that are closely linked to the Phg-2 resistance gene and also highly specific to the donor germplasm. Marker-assisted selection (MAS) was used to introgress the Phg-2 resistance locus into Andean breeding germplasm using MAB lines. The usefulness of molecular markers in MAS was confirmed in several field evaluations in complex breeding crosses, under inoculation with different ALS pathotypes. This project demonstrates that NGS data are a powerful tool for the characterization of genetic loci and can be applied in the development of breeding tools.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00122-019-03334-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6585521", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1135804", 
        "issn": [
          "0040-5752", 
          "1432-2242"
        ], 
        "name": "Theoretical and Applied Genetics", 
        "type": "Periodical"
      }
    ], 
    "name": "Fine-mapping of angular leaf spot resistance gene Phg-2 in common bean and development of molecular breeding tools.", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00122-019-03334-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113378427"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0145600"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30976830"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00122-019-03334-z", 
      "https://app.dimensions.ai/details/publication/pub.1113378427"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-16T06:26", 
    "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/v90/0000000377_0000000377/records_106842_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00122-019-03334-z"
  }
]
 

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/s00122-019-03334-z'

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/s00122-019-03334-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00122-019-03334-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00122-019-03334-z'


 

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

232 TRIPLES      20 PREDICATES      59 URIs      16 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00122-019-03334-z schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N380704b950ff48e980d8ceba57763908
4 schema:citation sg:pub.10.1007/bf00223642
5 sg:pub.10.1007/s00122-013-2146-1
6 sg:pub.10.1007/s00122-015-2472-6
7 sg:pub.10.1007/s00122-018-3117-3
8 sg:pub.10.1007/s10529-014-1548-8
9 sg:pub.10.1007/s10681-006-9158-8
10 sg:pub.10.1007/s11032-010-9461-x
11 sg:pub.10.1023/a:1018350826591
12 sg:pub.10.1023/a:1024146710611
13 sg:pub.10.1023/b:euph.0000004948.41083.1f
14 sg:pub.10.1038/ng.3008
15 sg:pub.10.1038/ni1410
16 sg:pub.10.1038/nmeth.1923
17 sg:pub.10.1186/s12864-016-2827-7
18 https://doi.org/10.1016/s1369-5266(00)00193-x
19 https://doi.org/10.1046/j.1439-0434.2000.00479.x
20 https://doi.org/10.1073/pnas.1108973109
21 https://doi.org/10.1093/bioinformatics/btp352
22 https://doi.org/10.1093/nar/gks596
23 https://doi.org/10.1093/nar/gkt1381
24 https://doi.org/10.1093/oxfordjournals.jhered.a110142
25 https://doi.org/10.1094/pd-65-494
26 https://doi.org/10.1094/phyto-12-17-0426-rvw
27 https://doi.org/10.1094/phyto-85-600
28 https://doi.org/10.1146/annurev.phyto.40.120501.101443
29 https://doi.org/10.1371/journal.pone.0019379
30 https://doi.org/10.1534/genetics.105.050815
31 https://doi.org/10.1590/s1984-70332010000300008
32 https://doi.org/10.2135/cropsci2000.4041130x
33 https://doi.org/10.2135/cropsci2004.1817
34 https://doi.org/10.2135/cropsci2014.09.0653
35 https://doi.org/10.2144/000112028
36 https://doi.org/10.3114/sim.55.1.163
37 https://doi.org/10.3835/plantgenome2017.08.0068
38 https://doi.org/10.5897/ajb2018.16493
39 schema:datePublished 2019-04-11
40 schema:datePublishedReg 2019-04-11
41 schema:description KEY MESSAGE: The Common Bean Angular Leaf Spot Resistance Gene Phg-2 was fine-mapped to a 409-Kbp region, and molecular markers for breeders were developed and validated in field experiments. Common bean (Phaseolus vulgaris L.) is an important food legume in Latin America, Asia and Africa. It is an important source of protein, carbohydrates and micro-minerals, particularly for smallholder farmers. Common bean productivity is affected by angular leaf spot (ALS) disease caused by the pathogenic fungus Pseudocercospora griseola, resulting in significant yield losses, particularly in low-input smallholder farming systems in the tropics. The ALS resistance gene Phg-2, which was found in several highly resistant common bean genotypes, was investigated in crosses between Mesoamerican pre-breeding lines and elite Andean breeding lines. Next-generation sequencing (NGS) data sets were used to design new SNP-based molecular markers. The Phg-2 locus was confirmed to be the major locus providing ALS resistance in these crosses. The locus was fine-mapped to a 409-Kbp region on chromosome 8. Two clusters of highly related LRR genes were identified in this region, which are the best candidate genes for Phg-2. Molecular markers were identified that are closely linked to the Phg-2 resistance gene and also highly specific to the donor germplasm. Marker-assisted selection (MAS) was used to introgress the Phg-2 resistance locus into Andean breeding germplasm using MAB lines. The usefulness of molecular markers in MAS was confirmed in several field evaluations in complex breeding crosses, under inoculation with different ALS pathotypes. This project demonstrates that NGS data are a powerful tool for the characterization of genetic loci and can be applied in the development of breeding tools.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree false
45 schema:isPartOf sg:journal.1135804
46 schema:name Fine-mapping of angular leaf spot resistance gene Phg-2 in common bean and development of molecular breeding tools.
47 schema:productId N44abb7792db24a899e4bdf0ad734081d
48 N98011e9926c94c3193bccc05c63788d2
49 Nb6feebb9754e4432b99b5fddda2057b0
50 Ne3308e47597e4f91ac587f176832e692
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113378427
52 https://doi.org/10.1007/s00122-019-03334-z
53 schema:sdDatePublished 2019-04-16T06:26
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N638dcbf2fa22463da5a2dea7af21aabc
56 schema:url http://link.springer.com/10.1007/s00122-019-03334-z
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N1684c3d343274715bae0dbc6da481efb schema:affiliation https://www.grid.ac/institutes/grid.418348.2
61 schema:familyName Raatz
62 schema:givenName Bodo
63 rdf:type schema:Person
64 N1e6f9e8e6bd7451ebf19d67cb58f83f5 rdf:first N33e2a0ba0e7844e2b2d9f17b5d45903f
65 rdf:rest N8cc6edda164a439392b0c9f999f819cd
66 N29dce31ec20740afb9e2cacc6a53a945 rdf:first Nd0d8e4b96a474e75a7904dc5b0f2c77e
67 rdf:rest N73fb8e589bba48278c93bc4b82e5a08b
68 N33e2a0ba0e7844e2b2d9f17b5d45903f schema:affiliation https://www.grid.ac/institutes/grid.418348.2
69 schema:familyName Barrera
70 schema:givenName Santos
71 rdf:type schema:Person
72 N380704b950ff48e980d8ceba57763908 rdf:first Nd159a114f7674f28abf17d7c0a0cad60
73 rdf:rest N29dce31ec20740afb9e2cacc6a53a945
74 N44abb7792db24a899e4bdf0ad734081d schema:name pubmed_id
75 schema:value 30976830
76 rdf:type schema:PropertyValue
77 N50d16d416db7426e941a1187dbf07d5b schema:affiliation https://www.grid.ac/institutes/grid.418348.2
78 schema:familyName Beebe
79 schema:givenName Steve
80 rdf:type schema:Person
81 N59c91fd57f704053aa6afdd388e27250 schema:affiliation N7ce2a7eeefba4c279f9fde139ff3cb63
82 schema:familyName Mayor
83 schema:givenName Victor
84 rdf:type schema:Person
85 N638dcbf2fa22463da5a2dea7af21aabc schema:name Springer Nature - SN SciGraph project
86 rdf:type schema:Organization
87 N73fb8e589bba48278c93bc4b82e5a08b rdf:first N9b567bedfeda4fdc83ef9da0b33662a8
88 rdf:rest N85a3195a652f41e4b4d1c85053aa3171
89 N7b8e3cb06fb747e998d71d092e923a12 rdf:first N1684c3d343274715bae0dbc6da481efb
90 rdf:rest rdf:nil
91 N7ce2a7eeefba4c279f9fde139ff3cb63 schema:name Progeny Breeding, Madrid, Colombia.
92 rdf:type schema:Organization
93 N85a3195a652f41e4b4d1c85053aa3171 rdf:first N59c91fd57f704053aa6afdd388e27250
94 rdf:rest N1e6f9e8e6bd7451ebf19d67cb58f83f5
95 N8cc6edda164a439392b0c9f999f819cd rdf:first Ncb1c19cc65cf4349821e52aac3cd348b
96 rdf:rest Ndf7a12938f6942c394431e8a835afea7
97 N98011e9926c94c3193bccc05c63788d2 schema:name dimensions_id
98 schema:value pub.1113378427
99 rdf:type schema:PropertyValue
100 N9b567bedfeda4fdc83ef9da0b33662a8 schema:affiliation https://www.grid.ac/institutes/grid.1020.3
101 schema:familyName Lobaton
102 schema:givenName Juan David
103 rdf:type schema:Person
104 Nb6feebb9754e4432b99b5fddda2057b0 schema:name doi
105 schema:value 10.1007/s00122-019-03334-z
106 rdf:type schema:PropertyValue
107 Ncb1c19cc65cf4349821e52aac3cd348b schema:affiliation https://www.grid.ac/institutes/grid.418348.2
108 schema:familyName Jara
109 schema:givenName Carlos
110 rdf:type schema:Person
111 Nd0d8e4b96a474e75a7904dc5b0f2c77e schema:affiliation https://www.grid.ac/institutes/grid.412192.d
112 schema:familyName Solarte
113 schema:givenName Diana
114 rdf:type schema:Person
115 Nd159a114f7674f28abf17d7c0a0cad60 schema:affiliation https://www.grid.ac/institutes/grid.7247.6
116 schema:familyName Gil
117 schema:givenName Juanita
118 rdf:type schema:Person
119 Ndf7a12938f6942c394431e8a835afea7 rdf:first N50d16d416db7426e941a1187dbf07d5b
120 rdf:rest N7b8e3cb06fb747e998d71d092e923a12
121 Ne3308e47597e4f91ac587f176832e692 schema:name nlm_unique_id
122 schema:value 0145600
123 rdf:type schema:PropertyValue
124 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
125 schema:name Biological Sciences
126 rdf:type schema:DefinedTerm
127 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
128 schema:name Genetics
129 rdf:type schema:DefinedTerm
130 sg:grant.6585521 http://pending.schema.org/fundedItem sg:pub.10.1007/s00122-019-03334-z
131 rdf:type schema:MonetaryGrant
132 sg:journal.1135804 schema:issn 0040-5752
133 1432-2242
134 schema:name Theoretical and Applied Genetics
135 rdf:type schema:Periodical
136 sg:pub.10.1007/bf00223642 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023728974
137 https://doi.org/10.1007/bf00223642
138 rdf:type schema:CreativeWork
139 sg:pub.10.1007/s00122-013-2146-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010978661
140 https://doi.org/10.1007/s00122-013-2146-1
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/s00122-015-2472-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038979956
143 https://doi.org/10.1007/s00122-015-2472-6
144 rdf:type schema:CreativeWork
145 sg:pub.10.1007/s00122-018-3117-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104694545
146 https://doi.org/10.1007/s00122-018-3117-3
147 rdf:type schema:CreativeWork
148 sg:pub.10.1007/s10529-014-1548-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032740794
149 https://doi.org/10.1007/s10529-014-1548-8
150 rdf:type schema:CreativeWork
151 sg:pub.10.1007/s10681-006-9158-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025532710
152 https://doi.org/10.1007/s10681-006-9158-8
153 rdf:type schema:CreativeWork
154 sg:pub.10.1007/s11032-010-9461-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004259538
155 https://doi.org/10.1007/s11032-010-9461-x
156 rdf:type schema:CreativeWork
157 sg:pub.10.1023/a:1018350826591 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049939244
158 https://doi.org/10.1023/a:1018350826591
159 rdf:type schema:CreativeWork
160 sg:pub.10.1023/a:1024146710611 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002247135
161 https://doi.org/10.1023/a:1024146710611
162 rdf:type schema:CreativeWork
163 sg:pub.10.1023/b:euph.0000004948.41083.1f schema:sameAs https://app.dimensions.ai/details/publication/pub.1042715999
164 https://doi.org/10.1023/b:euph.0000004948.41083.1f
165 rdf:type schema:CreativeWork
166 sg:pub.10.1038/ng.3008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024311489
167 https://doi.org/10.1038/ng.3008
168 rdf:type schema:CreativeWork
169 sg:pub.10.1038/ni1410 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034869150
170 https://doi.org/10.1038/ni1410
171 rdf:type schema:CreativeWork
172 sg:pub.10.1038/nmeth.1923 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006541515
173 https://doi.org/10.1038/nmeth.1923
174 rdf:type schema:CreativeWork
175 sg:pub.10.1186/s12864-016-2827-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043376105
176 https://doi.org/10.1186/s12864-016-2827-7
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/s1369-5266(00)00193-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012057946
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1046/j.1439-0434.2000.00479.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1040455822
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1073/pnas.1108973109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010803679
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1093/bioinformatics/btp352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023014918
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1093/nar/gks596 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014785724
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1093/nar/gkt1381 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020641403
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1093/oxfordjournals.jhered.a110142 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083485904
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1094/pd-65-494 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060081333
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1094/phyto-12-17-0426-rvw schema:sameAs https://app.dimensions.ai/details/publication/pub.1103283198
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1094/phyto-85-600 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060110005
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1146/annurev.phyto.40.120501.101443 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042819004
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1371/journal.pone.0019379 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005754650
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1534/genetics.105.050815 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018674119
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1590/s1984-70332010000300008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038238770
205 rdf:type schema:CreativeWork
206 https://doi.org/10.2135/cropsci2000.4041130x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069026850
207 rdf:type schema:CreativeWork
208 https://doi.org/10.2135/cropsci2004.1817 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069028907
209 rdf:type schema:CreativeWork
210 https://doi.org/10.2135/cropsci2014.09.0653 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069032524
211 rdf:type schema:CreativeWork
212 https://doi.org/10.2144/000112028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069095212
213 rdf:type schema:CreativeWork
214 https://doi.org/10.3114/sim.55.1.163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027465025
215 rdf:type schema:CreativeWork
216 https://doi.org/10.3835/plantgenome2017.08.0068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101831953
217 rdf:type schema:CreativeWork
218 https://doi.org/10.5897/ajb2018.16493 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105301519
219 rdf:type schema:CreativeWork
220 https://www.grid.ac/institutes/grid.1020.3 schema:alternateName University of New England
221 schema:name Environmental and Rural Sciences School, University of New England, Armidale, Australia.
222 rdf:type schema:Organization
223 https://www.grid.ac/institutes/grid.412192.d schema:alternateName University of Tolima
224 schema:name Universidad del Tolima, Ibagué, Colombia.
225 rdf:type schema:Organization
226 https://www.grid.ac/institutes/grid.418348.2 schema:alternateName Centro Internacional de Agricultura Tropical
227 schema:name Centro Internacional de Agricultura Tropical (CIAT), Bean Program, Palmira, Colombia.
228 Centro Internacional de Agricultura Tropical (CIAT), Bean Program, Palmira, Colombia. b.raatz@cgiar.org.
229 rdf:type schema:Organization
230 https://www.grid.ac/institutes/grid.7247.6 schema:alternateName Universidad de Los Andes
231 schema:name Universidad de Los Andes, Bogotá, Colombia.
232 rdf:type schema:Organization
 




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


...