The Library
Identification of genetic loci in lettuce mediating quantitative resistance to fungal pathogens
Tools
Pink, Harry, Talbot, Adam, Graceson, Abi, Graham, Juliane, Higgins, Gill, Taylor, Andrew, Jackson, Alison C., Truco, Maria, Michelmore, Richard, Yao, Chenyi, Gawthrop, Frances, Pink, David, Hand, Paul, Clarkson, John P. and Denby, Katherine (2022) Identification of genetic loci in lettuce mediating quantitative resistance to fungal pathogens. Theoretical and Applied Genetics, 135 (7). pp. 2481-2500. doi:10.1007/s00122-022-04129-5 ISSN 1432-2242.
|
PDF
122_2022_Article_4129.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (5Mb) | Preview |
Official URL: https://doi.org/10.1007/s00122-022-04129-5
Abstract
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.
Item Type: | Journal Article | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Subjects: | Q Science > QH Natural history S Agriculture > SB Plant culture |
|||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | |||||||||
SWORD Depositor: | Library Publications Router | |||||||||
Library of Congress Subject Headings (LCSH): | Lettuce , Lettuce -- Disease and pest resistance, Lettuce -- Disease and pest resistance -- Genetic aspects , Fungal diseases of plants, Plant-pathogen relationships -- Genetic aspects, Genetic regulation | |||||||||
Journal or Publication Title: | Theoretical and Applied Genetics | |||||||||
Publisher: | Springer | |||||||||
ISSN: | 1432-2242 | |||||||||
Official Date: | 8 June 2022 | |||||||||
Dates: |
|
|||||||||
Volume: | 135 | |||||||||
Number: | 7 | |||||||||
Page Range: | pp. 2481-2500 | |||||||||
DOI: | 10.1007/s00122-022-04129-5 | |||||||||
Status: | Peer Reviewed | |||||||||
Publication Status: | Published | |||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||
Date of first compliant deposit: | 15 July 2022 | |||||||||
Date of first compliant Open Access: | 18 July 2022 | |||||||||
RIOXX Funder/Project Grant: |
|
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year