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

Authors :
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.
Denby, Katherine
Source :
Theoretical & Applied Genetics; Jul2022, Vol. 135 Issue 7, p2481-2500, 20p
Publication Year :
2022

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 F<subscript>6</subscript> 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]

Details

Language :
English
ISSN :
00405752
Volume :
135
Issue :
7
Database :
Complementary Index
Journal :
Theoretical & Applied Genetics
Publication Type :
Academic Journal
Accession number :
157888039
Full Text :
https://doi.org/10.1007/s00122-022-04129-5