Literature DB >> 32654344

Genomic basis of white pine blister rust quantitative disease resistance and its relationship with qualitative resistance.

Matthew Weiss1, Richard A Sniezko2, Daniela Puiu3, Marc W Crepeau4, Kristian Stevens4, Steven L Salzberg3,5, Charles H Langley4, David B Neale6, Amanda R De La Torre1.   

Abstract

The genomic architecture and molecular mechanisms controlling variation in quantitative disease resistance loci are not well understood in plant species and have been barely studied in long-generation trees. Quantitative trait loci mapping and genome-wide association studies were combined to test a large single nucleotide polymorphism (SNP) set for association with quantitative and qualitative white pine blister rust resistance in sugar pine. In the absence of a chromosome-scale reference genome, a high-density consensus linkage map was generated to obtain locations for associated SNPs. Newly discovered associations for white pine blister rust quantitative disease resistance included 453 SNPs involved in wide biological functions, including genes associated with disease resistance and others involved in morphological and developmental processes. In addition, NBS-LRR pathogen recognition genes were found to be involved in quantitative disease resistance, suggesting these newly reported genes are qualitative genes with partial resistance, they are the result of defeated qualitative resistance due to avirulent races, or they have epistatic effects on qualitative disease resistance genes. This study is a step forward in our understanding of the complex genomic architecture of quantitative disease resistance in long-generation trees, and constitutes the first step towards marker-assisted disease resistance breeding in white pine species.
© 2020 Society for Experimental Biology and John Wiley & Sons Ltd.

Entities:  

Keywords:  GWAS; QTL mapping; linkage mapping; sugar pine; white pine blister rust

Mesh:

Year:  2020        PMID: 32654344     DOI: 10.1111/tpj.14928

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  5 in total

1.  Advances in understanding Norway spruce natural resistance to needle bladder rust infection: transcriptional and secondary metabolites profiling.

Authors:  Carlos Trujillo-Moya; Andrea Ganthaler; Wolfgang Stöggl; Erwann Arc; Ilse Kranner; Silvio Schueler; Reinhard Ertl; Ana Espinosa-Ruiz; Maria Ángeles Martínez-Godoy; Jan-Peter George; Stefan Mayr
Journal:  BMC Genomics       Date:  2022-06-13       Impact factor: 4.547

2.  Dissecting the Polygenic Basis of Cold Adaptation Using Genome-Wide Association of Traits and Environmental Data in Douglas-fir.

Authors:  Amanda R De La Torre; Benjamin Wilhite; Daniela Puiu; John Bradley St Clair; Marc W Crepeau; Steven L Salzberg; Charles H Langley; Brian Allen; David B Neale
Journal:  Genes (Basel)       Date:  2021-01-18       Impact factor: 4.096

3.  Fine dissection of limber pine resistance to Cronartium ribicola using targeted sequencing of the NLR family.

Authors:  Jun-Jun Liu; Anna W Schoettle; Richard A Sniezko; Holly Williams; Arezoo Zamany; Benjamin Rancourt
Journal:  BMC Genomics       Date:  2021-07-23       Impact factor: 3.969

4.  Genetic basis of growth, spring phenology, and susceptibility to biotic stressors in maritime pine.

Authors:  Agathe Hurel; Marina de Miguel; Cyril Dutech; Marie-Laure Desprez-Loustau; Christophe Plomion; Isabel Rodríguez-Quilón; Agathe Cyrille; Thomas Guzman; Ricardo Alía; Santiago C González-Martínez; Katharina B Budde
Journal:  Evol Appl       Date:  2021-11-06       Impact factor: 5.183

5.  A transcriptome-based association study of  growth, wood quality, and oleoresin traits in a slash pine  breeding population.

Authors:  Xianyin Ding; Shu Diao; Qifu Luan; Harry X Wu; Yini Zhang; Jingmin Jiang
Journal:  PLoS Genet       Date:  2022-02-02       Impact factor: 5.917

  5 in total

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