Identification of genetic loci in lettuce mediating quantitative resistance to fungal pathogens.

Saved in:
Bibliographic Details
Title: Identification of genetic loci in lettuce mediating quantitative resistance to fungal pathogens.
Authors: Pink, Harry1 (AUTHOR), Talbot, Adam1 (AUTHOR), Graceson, Abi2 (AUTHOR), Graham, Juliane2 (AUTHOR), Higgins, Gill1 (AUTHOR), Taylor, Andrew3 (AUTHOR), Jackson, Alison C.3 (AUTHOR), Truco, Maria4 (AUTHOR), Michelmore, Richard4 (AUTHOR), Yao, Chenyi5 (AUTHOR), Gawthrop, Frances5 (AUTHOR), Pink, David2 (AUTHOR), Hand, Paul2 (AUTHOR), Clarkson, John P.3 (AUTHOR), Denby, Katherine1 (AUTHOR) Katherine.denby@york.ac.uk
Source: Theoretical & Applied Genetics. Jul2022, Vol. 135 Issue 7, p2481-2500. 20p.
Subjects: Lettuce, Locus (Genetics), Edible greens, Genetic regulation, Fungicide resistance, Genetic variation
Abstract: Key message: We demonstrate genetic variation for quantitative resistance against important fungal pathogens in lettuce and its wild relatives, map loci conferring resistance and predict key molecular mechanisms using transcriptome profiling. Lactuca sativa L. (lettuce) is an important leafy vegetable crop grown and consumed globally. Chemicals are routinely used to control major pathogens, including the causal agents of grey mould (Botrytis cinerea) and lettuce drop (Sclerotinia sclerotiorum). With increasing prevalence of pathogen resistance to fungicides and environmental concerns, there is an urgent need to identify sources of genetic resistance to B. cinerea and S. sclerotiorum in lettuce. We demonstrated genetic variation for quantitative resistance to B. cinerea and S. sclerotiorum in a set of 97 diverse lettuce and wild relative accessions, and between the parents of lettuce mapping populations. Transcriptome profiling across multiple lettuce accessions enabled us to identify genes with expression correlated with resistance, predicting the importance of post-transcriptional gene regulation in the lettuce defence response. We identified five genetic loci influencing quantitative resistance in a F6 mapping population derived from a Lactuca serriola (wild relative) × lettuce cross, which each explained 5–10% of the variation. Differential gene expression analysis between the parent lines, and integration of data on correlation of gene expression and resistance in the diversity set, highlighted potential causal genes underlying the quantitative trait loci. [ABSTRACT FROM AUTHOR]
Copyright of Theoretical & Applied Genetics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 157888039
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Identification of genetic loci in lettuce mediating quantitative resistance to fungal pathogens.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Pink%2C+Harry%22">Pink, Harry</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Talbot%2C+Adam%22">Talbot, Adam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Graceson%2C+Abi%22">Graceson, Abi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Graham%2C+Juliane%22">Graham, Juliane</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Higgins%2C+Gill%22">Higgins, Gill</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Taylor%2C+Andrew%22">Taylor, Andrew</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jackson%2C+Alison+C%2E%22">Jackson, Alison C.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Truco%2C+Maria%22">Truco, Maria</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Michelmore%2C+Richard%22">Michelmore, Richard</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yao%2C+Chenyi%22">Yao, Chenyi</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gawthrop%2C+Frances%22">Gawthrop, Frances</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pink%2C+David%22">Pink, David</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hand%2C+Paul%22">Hand, Paul</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Clarkson%2C+John+P%2E%22">Clarkson, John P.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Denby%2C+Katherine%22">Denby, Katherine</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Katherine.denby@york.ac.uk</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Theoretical+%26+Applied+Genetics%22">Theoretical & Applied Genetics</searchLink>. Jul2022, Vol. 135 Issue 7, p2481-2500. 20p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Lettuce%22">Lettuce</searchLink><br /><searchLink fieldCode="DE" term="%22Locus+%28Genetics%29%22">Locus (Genetics)</searchLink><br /><searchLink fieldCode="DE" term="%22Edible+greens%22">Edible greens</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+regulation%22">Genetic regulation</searchLink><br /><searchLink fieldCode="DE" term="%22Fungicide+resistance%22">Fungicide resistance</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+variation%22">Genetic variation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Key message: We demonstrate genetic variation for quantitative resistance against important fungal pathogens in lettuce and its wild relatives, map loci conferring resistance and predict key molecular mechanisms using transcriptome profiling. Lactuca sativa L. (lettuce) is an important leafy vegetable crop grown and consumed globally. Chemicals are routinely used to control major pathogens, including the causal agents of grey mould (Botrytis cinerea) and lettuce drop (Sclerotinia sclerotiorum). With increasing prevalence of pathogen resistance to fungicides and environmental concerns, there is an urgent need to identify sources of genetic resistance to B. cinerea and S. sclerotiorum in lettuce. We demonstrated genetic variation for quantitative resistance to B. cinerea and S. sclerotiorum in a set of 97 diverse lettuce and wild relative accessions, and between the parents of lettuce mapping populations. Transcriptome profiling across multiple lettuce accessions enabled us to identify genes with expression correlated with resistance, predicting the importance of post-transcriptional gene regulation in the lettuce defence response. We identified five genetic loci influencing quantitative resistance in a F6 mapping population derived from a Lactuca serriola (wild relative) × lettuce cross, which each explained 5–10% of the variation. Differential gene expression analysis between the parent lines, and integration of data on correlation of gene expression and resistance in the diversity set, highlighted potential causal genes underlying the quantitative trait loci. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Theoretical & Applied Genetics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=157888039
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00122-022-04129-5
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 2481
    Subjects:
      – SubjectFull: Lettuce
        Type: general
      – SubjectFull: Locus (Genetics)
        Type: general
      – SubjectFull: Edible greens
        Type: general
      – SubjectFull: Genetic regulation
        Type: general
      – SubjectFull: Fungicide resistance
        Type: general
      – SubjectFull: Genetic variation
        Type: general
    Titles:
      – TitleFull: Identification of genetic loci in lettuce mediating quantitative resistance to fungal pathogens.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Pink, Harry
      – PersonEntity:
          Name:
            NameFull: Talbot, Adam
      – PersonEntity:
          Name:
            NameFull: Graceson, Abi
      – PersonEntity:
          Name:
            NameFull: Graham, Juliane
      – PersonEntity:
          Name:
            NameFull: Higgins, Gill
      – PersonEntity:
          Name:
            NameFull: Taylor, Andrew
      – PersonEntity:
          Name:
            NameFull: Jackson, Alison C.
      – PersonEntity:
          Name:
            NameFull: Truco, Maria
      – PersonEntity:
          Name:
            NameFull: Michelmore, Richard
      – PersonEntity:
          Name:
            NameFull: Yao, Chenyi
      – PersonEntity:
          Name:
            NameFull: Gawthrop, Frances
      – PersonEntity:
          Name:
            NameFull: Pink, David
      – PersonEntity:
          Name:
            NameFull: Hand, Paul
      – PersonEntity:
          Name:
            NameFull: Clarkson, John P.
      – PersonEntity:
          Name:
            NameFull: Denby, Katherine
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 00405752
          Numbering:
            – Type: volume
              Value: 135
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Theoretical & Applied Genetics
              Type: main
ResultId 1