scholarly journals Identification of a Major QTL (qRRs-10.1) That Confers Resistance to Ralstonia solanacearum in Pepper (Capsicum annuum) Using SLAF-BSA and QTL Mapping

2019 ◽  
Vol 20 (23) ◽  
pp. 5887 ◽  
Author(s):  
Heshan Du ◽  
Changlong Wen ◽  
Xiaofen Zhang ◽  
Xiulan Xu ◽  
Jingjing Yang ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Capsicum Annuum ◽  
Ralstonia Solanacearum ◽  
Bulked Segregant Analysis ◽  
Severity Index ◽  
Clear Cut ◽  
Close Proximity ◽  
Specific Locus ◽  
Resistance Markers ◽  
Resistant Rootstock

The soilborne pathogen Ralstonia solanacearum is the causal agent of bacterial wilt (BW), a major disease of pepper (Capsicum annuum). The genetic basis of resistance to this disease in pepper is not well known. This study aimed to identify BW resistance markers in pepper. Analysis of the dynamics of bioluminescent R. solanacearum colonization in reciprocal grafts of a resistant (BVRC 1) line and a susceptible (BVRC 25) line revealed that the resistant rootstock effectively suppressed the spreading of bacteria into the scion. The two clear-cut phenotypic distributions of the disease severity index in 440 F2 plants derived from BVRC 25 × BVRC 1 indicated that a major genetic factor as well as a few minor factors that control BW resistance. By specific-locus amplified fragment sequencing combined with bulked segregant analysis, two adjacent resistance-associated regions on chromosome 10 were identified. Quantitative trait (QTL) mapping revealed that these two regions belong to a single QTL, qRRs-10.1. The marker ID10-194305124, which reached a maximum log-likelihood value at 9.79 and accounted for 19.01% of the phenotypic variation, was located the closest to the QTL peak. A cluster of five predicted R genes and three defense-related genes, which are located in close proximity to the significant markers ID10-194305124 or ID10-196208712, are important candidate genes that may confer BW resistance in pepper.

scholarly journals Isolation and Characterization of Wilt-Causing Pathogens of Local Growing Pepper (Capsicum annuum L.) in Gurage Zone, Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Temesgen Oljira ◽  
Sefawdin Berta
Keyword(s):  
Fusarium Oxysporum ◽  
Capsicum Annuum ◽  
Ralstonia Solanacearum ◽  
Disease Assessment ◽  
Management Approach ◽  
Pathogenicity Test ◽  
Biochemical Tests ◽  
Capsicum Annuum L ◽  
Local Cultivar ◽  
Isolation And Characterization

The yield of pepper (Capsicum annuum L.) is extremely threatened by different diseases in Ethiopia. The objective of the study was isolation of wilt-causing pathogens and susceptibility test of local growing pepper. Eighteen pepper farming fields were selected for disease assessment study. The samples of Mareko Fana, Dubi, and Mitmita local cultivar pepper’s pods, seeds, leaves, stems, and roots were collected, surface sterilized, and cultured on potato dextrose agar (PDA). Selective peptone pentachloronitrobenzene (PCNB) agar medium was used for fungus. Similarly, for bacteria isolation, nutrient agar (NA) was used. Morphological and biochemical tests revealed eleven fungal isolates of Fusarium oxysporum f. sp. that were isolated. The pathogenicity test confirmed nine of them were virulent to Mareko Fana, Dubi, and Mitmita local pepper. It is confirmed that Fusarium oxysporum f. sp. is the pathogen Fusarium oxysporum f. sp. capsici. Besides, Ralstonia solanacearum was identified as a bacterium pathogen causing complex pepper wilt disease. The highest mean PDI was registered in Remuga Keble (93.0%) and the lowest in Buyi Keble (58.3%). Similarly, the highest mean PSI was recorded in Buyi Keble (87.0%) and the lowest PSI (54.5%) was registered in Tawlla Keble. Among 60 seeds, Mareko local pepper inoculated by F. oxysporum f. sp. and R. solanacearum shows the highest susceptibility of 55 (91.0%) and 30 (50.0%), respectively. However, Mitmita local pepper was registered as the lowest susceptibility to both F. oxysporum f. sp. and R. solanacearum of 28.3% and 30.0%, respectively. Based on the finding, it can be concluded that pepper wilt was caused by a complex of fungus Fusarium oxysporum f. sp. capsici and bacteria Ralstonia solanacearum sp. in the study area. So, it is recommended that an integrated disease management approach should be implemented to manage the complex diseases of the site.

scholarly journals QTL mapping pod dehiscence resistance in soybean (Glycine max L. Merr.) using specific-locus amplified fragment sequencing

2019 ◽  
Vol 132 (8) ◽  
pp. 2253-2272 ◽  
Author(s):  
Jianan Han ◽  
Dezhi Han ◽  
Yong Guo ◽  
Hongrui Yan ◽  
Zhongyan Wei ◽  
...  
Keyword(s):  
Glycine Max ◽  
Qtl Mapping ◽  
Glycine Max L ◽  
Specific Locus ◽  
Pod Dehiscence

Next-generation sequencing-based bulked segregant analysis for QTL mapping in the heterozygous species Brassica rapa

2019 ◽  
Vol 132 (10) ◽  
pp. 2913-2925 ◽  
Author(s):  
Noriaki Itoh ◽  
Tenta Segawa ◽  
Muluneh Tamiru ◽  
Akira Abe ◽  
Shota Sakamoto ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Qtl Mapping ◽  
Brassica Rapa ◽  
Bulked Segregant Analysis ◽  
Next Generation ◽  
Generation Sequencing

scholarly journals Identification and Validation of Marketing Weight-Related SNP Markers Using SLAF Sequencing in Male Yangzhou Geese

Genes ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1203
Author(s):  
Sherif Melak ◽  
Qin Wang ◽  
Ye Tian ◽  
Wei Wei ◽  
Lifan Zhang ◽  
...  
Keyword(s):  
Growth Performance ◽  
Performance Studies ◽  
Bulked Segregant Analysis ◽  
Significant Snps ◽  
Phenotypic Selection ◽  
Snp Markers ◽  
Nucleotide Polymorphisms ◽  
Economic Trait ◽  
Significant Difference ◽  
Specific Locus

Growth performance is a complex economic trait for avian production. The swan goose (Anser cygnoides) has never been exploited genetically like chickens or other waterfowl species such as ducks. Traditional phenotypic selection is still the main method for genetic improvement of geese body weight. In this study, specific locus amplified fragment sequencing (SLAF-seq) with bulked segregant analysis (BSA) was conducted for discovering and genotyping single nucleotide polymorphisms (SNPs) associated with marketing weight trait in male geese. A total of 149,045 SNPs were obtained from 427,093 SLAF tags with an average sequencing depth of 44.97-fold and a Q30 value of 93.26%. After SNPs’ filtering, a total of 12,917 SNPs were included in the study. The 31 highest significant SNPs—which had different allelic frequencies—were further validated by individual-based AS-PCR genotyping in two populations. The association between 10 novel SNPs and the marketing weight of male geese was confirmed. The 10 significant SNPs were involved in linear regression model analysis, which confirmed single-SNP associations and revealed three types of SNP networks for marketing weight. The 10 significant SNPs were located within or close to 10 novel genes, which were identified. The qPCR analysis showed significant difference between genotypes of each SNP in seven genes. Developed SLAF-seq and identified genes will enrich growth performance studies, promoting molecular breeding applications to boost the marketing weight of Chinese geese.

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