Genetic architecture of Cercospora leaf spot response in table beet with implications for other Beta vulgaris crop types

被引:2
作者
Dixon, Liam [1 ]
Goldman, Irwin L. [1 ]
机构
[1] Univ Wisconsin Madison, Dept Plant & Agroecosyst Sci, 1575 Linden Dr, Madison, WI 53706 USA
关键词
SUGAR-BEET; LINKAGE GROUPS; RESISTANCE; BETICOLA; QTLS; IDENTIFICATION;
D O I
10.1002/csc2.21396
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Table beet (Beta vulgaris subsp. vulgaris) production is threatened by the fungal disease Cercospora leaf spot (CLS). Infections are common across table beet's closest relatives, including Swiss chard, sugar beet, and fodder beet (all B. v. subsp. vulgaris). This study was conducted to characterize the genetic architecture underlying CLS response in table beet. A secondary objective was to test whether CLS-associated loci in table beet perform similarly across B. vulgaris crops. A diversity panel comprised of 168 table beet accessions and with an additional 70 accessions from all close relatives of table beet was screened for CLS response in replicated and inoculated field trials. Results from a genome-wide association study of additive effects revealed seven quantitative trait loci mapped to chromosomes 1, 3, 7, and 9 to explain 30% of the phenotypic variation for CLS response in table beet. When the performance of these loci was compared between a table beet background and a background of Swiss chard, sugar beet, and fodder beet, two loci exhibited significantly different responses. Among the B. vulgaris crops, these loci may be unique to table beet germplasm and could be useful for the improvement of CLS resistance in other crop types. For the improvement of CLS resistance in table beet, this study identified the cultivar Winter Keeper as a potentially valuable source of resistance. The architecture of CLS response points to recurrent selection and backcross methods as effective strategies for the improvement of CLS resistance in table beet.
引用
收藏
页码:3352 / 3371
页数:20
相关论文
共 75 条
[1]  
Abed Amina, 2022, Methods Mol Biol, V2481, P83, DOI 10.1007/978-1-0716-2237-7_6
[2]   Fitting Linear Mixed-Effects Models Using lme4 [J].
Bates, Douglas ;
Maechler, Martin ;
Bolker, Benjamin M. ;
Walker, Steven C. .
JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01) :1-48
[3]  
Beavis William D., 1998, P145
[4]   Plant Lectins and Lectin Receptor-Like Kinases: How Do They Sense the Outside? [J].
Bellande, Kevin ;
Bono, Jean-Jacques ;
Savelli, Bruno ;
Jamet, Elisabeth ;
Canut, Herve .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2017, 18 (06)
[5]  
Bernardo R., 2020, BREEDING QUANTITATIV
[6]  
Bilgen T., 1968, Beet Sugar Development Foundation, V15, P444
[7]  
Bosemark N.O., 1979, Proc. Conf. Broadening genetic base crops, P29
[8]   Genome Wide Allele Frequency Fingerprints (GWAFFs) of Populations via Genotyping by Sequencing [J].
Byrne, Stephen ;
Czaban, Adrian ;
Studer, Bruno ;
Panitz, Frank ;
Bendixen, Christian ;
Asp, Torben .
PLOS ONE, 2013, 8 (03)
[9]   Cytochrome P450 Gene Families: Role in Plant Secondary Metabolites Production and Plant Defense [J].
Chakraborty, Panchali ;
Biswas, Ashok ;
Dey, Susmita ;
Bhattacharjee, Tuli ;
Chakrabarty, Swapan .
JOURNAL OF XENOBIOTICS, 2023, 13 (03) :402-423
[10]   GWAS reveals a rapidly evolving candidate avirulence effector in the Cercospora leaf spot pathogen [J].
Chen, Chen ;
Keunecke, Harald ;
Bemm, Felix ;
Gyetvai, Gabor ;
Neu, Enzo ;
Kopisch-Obuch, Friedrich J. ;
Mcdonald, Bruce A. ;
Stapley, Jessica .
MOLECULAR PLANT PATHOLOGY, 2024, 25 (01)