scholarly journals Arabidopsis GDSL1 overexpression enhances rapeseed Sclerotinia sclerotiorum resistance and the functional identification of its homolog in Brassica napus

2020 ◽  
Vol 18 (5) ◽  
pp. 1255-1270 ◽  
Author(s):  
Li‐Na Ding ◽  
Ming Li ◽  
Xiao‐Juan Guo ◽  
Min‐Qiang Tang ◽  
Jun Cao ◽  
...  
2004 ◽  
Vol 41 (8) ◽  
pp. 754-765 ◽  
Author(s):  
Rugang Li ◽  
Roger Rimmer ◽  
Lone Buchwaldt ◽  
Andrew G Sharpe ◽  
Ginette Séguin-Swartz ◽  
...  

Author(s):  
Fereshteh Shahoveisi ◽  
Atena Oladzad ◽  
Luis E. del Rio Mendoza ◽  
Seyedali Hosseinirad ◽  
Susan Ruud ◽  
...  

The polyploid nature of canola (Brassica napus) represents a challenge for the accurate identification of single nucleotide polymorphisms (SNPs) and the detection of quantitative trait loci (QTL). In this study, combinations of eight phenotyping scoring systems and six SNP calling and filtering parameters were evaluated for their efficiency in detection of QTL associated with response to Sclerotinia stem rot, caused by Sclerotinia sclerotiorum, in two doubled haploid (DH) canola mapping populations. Most QTL were detected in lesion length, relative areas under the disease progress curve (rAUDPC) for lesion length, and binomial-plant mortality data sets. Binomial data derived from lesion size were less efficient in QTL detection. Inclusion of additional phenotypic sets to the analysis increased the numbers of significant QTL by 2.3-fold; however, the continuous data sets were more efficient. Between two filtering parameters used to analyze genotyping by sequencing (GBS) data, imputation of missing data increased QTL detection in one population with a high level of missing data but not in the other. Inclusion of segregation-distorted SNPs increased QTL detection but did not impact their R2 values significantly. Twelve of the 16 detected QTL were on chromosomes A02 and C01, and the rest were on A07, A09, and C03. Marker A02-7594120, associated with a QTL on chromosome A02 was detected in both populations. Results of this study suggest the impact of genotypic variant calling and filtering parameters may be population dependent while deriving additional phenotyping scoring systems such as rAUDPC datasets and mortality binary may improve QTL detection efficiency.


2018 ◽  
Vol 74 (11) ◽  
pp. 2594-2600 ◽  
Author(s):  
Kyran D Brooks ◽  
Sarita J Bennett ◽  
Leon M Hodgson ◽  
Michael B Ashworth

2013 ◽  
Vol 60 (5) ◽  
pp. 1615-1619 ◽  
Author(s):  
Yijuan Ding ◽  
Jiaqin Mei ◽  
Qinfei Li ◽  
Yao Liu ◽  
Huafang Wan ◽  
...  

Genes ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 981
Author(s):  
Jichun Xia ◽  
Dong Wang ◽  
Yuzhou Peng ◽  
Wenning Wang ◽  
Qianqian Wang ◽  
...  

The YABBY family of plant-specific transcription factors play important regulatory roles during the development of leaves and floral organs, but their functions in Brassica species are incompletely understood. Here, we identified 79 YABBY genes from Arabidopsis thaliana and five Brassica species (B. rapa, B. nigra, B. oleracea, B. juncea, and B. napus). A phylogenetic analysis of YABBY proteins separated them into five clusters (YAB1–YAB5) with representatives from all five Brassica species, suggesting a high degree of conservation and similar functions within each subfamily. We determined the gene structure, chromosomal location, and expression patterns of the 21 BnaYAB genes identified, revealing extensive duplication events and gene loss following polyploidization. Changes in exon–intron structure during evolution may have driven differentiation in expression patterns and functions, combined with purifying selection, as evidenced by Ka/Ks values below 1. Based on transcriptome sequencing data, we selected nine genes with high expression at the flowering stage. qRT-PCR analysis further indicated that most BnaYAB family members are tissue-specific and exhibit different expression patterns in various tissues and organs of B. napus. This preliminary study of the characteristics of the YABBY gene family in the Brassica napus genome provides theoretical support and reference for the later functional identification of the family genes.


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