Literature DB >> 35419653

Genome-wide association mapping reveals genomic regions frequently associated with lettuce field resistance to downy mildew.

Ivan Simko1, Hui Peng2, Jinita Sthapit Kandel3,4, Rebecca Zhao3.   

Abstract

KEY MESSAGE: GWAS identified 63 QTLs for resistance to downy mildew. Though QTLs were distributed across all chromosomes, the genomic regions frequently associated with resistance were located on chromosomes 4 and 5. Lettuce downy mildew is one of the most economically important diseases of cultivated lettuce worldwide. We have applied the genome-wide association mapping (GWAS) approach to detect QTLs for field resistance to downy mildew in the panel of 496 accessions tested in 21 field experiments. The analysis identified 131 significant marker-trait associations that could be grouped into 63 QTLs. At least 51 QTLs were novel, while remaining 12 QTLs overlapped with previously described QTLs for lettuce field resistance to downy mildew. Unlike race-specific, dominant Dm genes that mostly cluster on three out of nine lettuce chromosomes, QTLs (qDMR loci) for polygenic resistance are randomly distributed across all nine chromosomes. The genomic regions frequently associated with lettuce field resistance to downy mildew are located on chromosomes 4 and 5 and could be used for detailed study of the mechanism of polygenic resistance. The most resistant accessions identified in the current study (cvs. Auburn, Grand Rapids, Romabella, PI 226514, and PI 249536) are being incorporated into our breeding program. Markers closely linked to the resistance QTLs could be potentially used for marker-assisted selection, or in combination with other markers in the genome, for a combined genomic and marker-assisted selection. Up to date this is the most comprehensive study of QTLs for field resistance to downy mildew and the first study that uses GWAS for mapping disease resistance loci in lettuce.
© 2022. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

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Year:  2022        PMID: 35419653     DOI: 10.1007/s00122-022-04090-3

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  23 in total

1.  TASSEL: software for association mapping of complex traits in diverse samples.

Authors:  Peter J Bradbury; Zhiwu Zhang; Dallas E Kroon; Terry M Casstevens; Yogesh Ramdoss; Edward S Buckler
Journal:  Bioinformatics       Date:  2007-06-22       Impact factor: 6.937

2.  The genomic architecture of disease resistance in lettuce.

Authors:  Leah K McHale; Maria José Truco; Alexander Kozik; Tadeusz Wroblewski; Oswaldo E Ochoa; Kirsten A Lahre; Steven J Knapp; Richard W Michelmore
Journal:  Theor Appl Genet       Date:  2008-11-13       Impact factor: 5.699

Review 3.  Quantitative resistance to biotrophic filamentous plant pathogens: concepts, misconceptions, and mechanisms.

Authors:  Rients E Niks; Xiaoquan Qi; Thierry C Marcel
Journal:  Annu Rev Phytopathol       Date:  2015-06-05       Impact factor: 13.078

Review 4.  Impacts of resistance gene genetics, function, and evolution on a durable future.

Authors:  Richard W Michelmore; Marilena Christopoulou; Katherine S Caldwell
Journal:  Annu Rev Phytopathol       Date:  2013-05-15       Impact factor: 13.078

5.  Lactuca saligna, a non-host for lettuce downy mildew ( Bremia lactucae), harbors a new race-specific Dm gene and three QTLs for resistance.

Authors:  M. Jeuken; P. Lindhout
Journal:  Theor Appl Genet       Date:  2002-06-14       Impact factor: 5.699

6.  Dissection of Two Complex Clusters of Resistance Genes in Lettuce (Lactuca sativa).

Authors:  Marilena Christopoulou; Leah K McHale; Alex Kozik; Sebastian Reyes-Chin Wo; Tadeusz Wroblewski; Richard W Michelmore
Journal:  Mol Plant Microbe Interact       Date:  2015-07-09       Impact factor: 4.171

7.  Association mapping of kernel size and milling quality in wheat (Triticum aestivum L.) cultivars.

Authors:  Flavio Breseghello; Mark E Sorrells
Journal:  Genetics       Date:  2005-08-03       Impact factor: 4.562

8.  Evidence for a race-specific resistance factor in some lettuce (Lactuca sativa L.) cultivars previously considered to be universally susceptible to Bremia lactucae regel.

Authors:  I R Crute; A Lebeda
Journal:  Theor Appl Genet       Date:  1981-05       Impact factor: 5.699

9.  Efficient QTL detection for nonhost resistance in wild lettuce: backcross inbred lines versus F(2) population.

Authors:  M J W Jeuken; K Pelgrom; P Stam; P Lindhout
Journal:  Theor Appl Genet       Date:  2008-02-05       Impact factor: 5.699

10.  Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies.

Authors:  Xiaolei Liu; Meng Huang; Bin Fan; Edward S Buckler; Zhiwu Zhang
Journal:  PLoS Genet       Date:  2016-02-01       Impact factor: 5.917

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