Advances in Multi-Omics Approaches for Molecular Breeding of Black Rot Resistance in Brassica oleracea L.
文献类型: 外文期刊
第一作者: Shaw, Ranjan K.
作者: Shaw, Ranjan K.;Shen, Yusen;Wang, Jiansheng;Sheng, Xiaoguang;Zhao, Zhenqing;Yu, Huifang;Gu, Honghui
作者机构:
关键词: Brassica oleracea; black rot; Xanthomonas campestris pv; campestris; omics; genomics; transcriptomics; proteomics; metabolomics
期刊名称:FRONTIERS IN PLANT SCIENCE ( 影响因子:6.627; 五年影响因子:7.255 )
ISSN: 1664-462X
年卷期: 2021 年 12 卷
页码:
收录情况: SCI
摘要: Brassica oleracea is one of the most important species of the Brassicaceae family encompassing several economically important vegetables produced and consumed worldwide. But its sustainability is challenged by a range of pathogens, among which black rot, caused by Xanthomonas campestris pv. campestris (Xcc), is the most serious and destructive seed borne bacterial disease, causing huge yield losses. Host-plant resistance could act as the most effective and efficient solution to curb black rot disease for sustainable production of B. oleracea. Recently, 'omics' technologies have emerged as promising tools to understand the host-pathogen interactions, thereby gaining a deeper insight into the resistance mechanisms. In this review, we have summarized the recent achievements made in the emerging omics technologies to tackle the black rot challenge in B. oleracea. With an integrated approach of the omics technologies such as genomics, proteomics, transcriptomics, and metabolomics, it would allow better understanding of the complex molecular mechanisms underlying black rot resistance. Due to the availability of sequencing data, genomics and transcriptomics have progressed as expected for black rot resistance, however, other omics approaches like proteomics and metabolomics are lagging behind, necessitating a holistic and targeted approach to address the complex questions of Xcc-Brassica interactions. Genomic studies revealed that the black rot resistance is a complex trait and is mostly controlled by quantitative trait locus (QTL) with minor effects. Transcriptomic analysis divulged the genes related to photosynthesis, glucosinolate biosynthesis and catabolism, phenylpropanoid biosynthesis pathway, ROS scavenging, calcium signalling, hormonal synthesis and signalling pathway are being differentially expressed upon Xcc infection. Comparative proteomic analysis in relation to susceptible and/or resistance interactions with Xcc identified the involvement of proteins related to photosynthesis, protein biosynthesis, processing and degradation, energy metabolism, innate immunity, redox homeostasis, and defence response and signalling pathways in Xcc-Brassica interaction. Specifically, most of the studies focused on the regulation of the photosynthesis-related proteins as a resistance response in both early and later stages of infection. Metabolomic studies suggested that glucosinolates (GSLs), especially aliphatic and indolic GSLs, its subsequent hydrolysis products, and defensive metabolites synthesized by jasmonic acid (JA)-mediated phenylpropanoid biosynthesis pathway are involved in disease resistance mechanisms against Xcc in Brassica species. Multi-omics analysis showed that JA signalling pathway is regulating resistance against hemibiotrophic pathogen like Xcc. So, the bonhomie between omics technologies and plant breeding is going to trigger major breakthroughs in the field of crop improvement by developing superior cultivars with broad-spectrum resistance. If multi-omics tools are implemented at the right scale, we may be able to achieve the maximum benefits from the minimum. In this review, we have also discussed the challenges, future prospects, and the way forward in the application of omics technologies to accelerate the breeding of B. oleracea for disease resistance. A deeper insight about the current knowledge on omics can offer promising results in the breeding of high-quality disease-resistant crops.
分类号:
- 相关文献
作者其他论文 更多>>
-
Identification of candidate gene associated with maize northern leaf blight resistance in a multi-parent population
作者:Bi, Yaqi;Jiang, Fuyan;Yin, Xingfu;Shaw, Ranjan K.;Guo, Ruijia;Wang, Jing;Fan, Xingming
关键词:Zea mays; Northern leaf blight; Multi-parent population; Genome-wide association analysis; QTL mapping; CATETO germplasm
-
Genome-Wide Association Study and Prediction of Tassel Weight of Tropical Maize Germplasm in Multi-Parent Population
作者:Liu, Meichen;Zhang, Xingjie;Li, Jinfeng;Li, Linzhuo;Li, Shaoxiong;Zhang, Yudong;Shaw, Ranjan K.;Adnan, Muhammad;Jiang, Fuyan;Bi, Yaqi;Yin, Xingfu;Fan, Xingming
关键词:tassel weight; genome-wide association study; candidate gene; genomic selection
-
Unravelling Glucoraphanin and Glucoerucin Metabolism across Broccoli Sprout Development: Insights from Metabolite and Transcriptome Analysis
作者:Wang, Jiansheng;Shen, Yusen;Sheng, Xiaoguang;Yu, Huifang;Song, Mengfei;Gu, Honghui;Wang, Qiaomei
关键词:broccoli sprout; glucosinolate; RNA-seq; sulforaphane; erucin
-
Identification of a novel marker and its associated laccase gene for regulating ear length in tropical and subtropical maize lines
作者:Bi, Yaqi;Li, Kunzhi;Bi, Yaqi;Jiang, Fuyan;Zhang, Yudong;Kuang, Tianhui;Shaw, Ranjan K.;Adnan, Muhammad;Fan, Xingming;Li, Ziwei
关键词:
-
Genome-Wide Association Studies on the Kernel Row Number in a Multi-Parent Maize Population
作者:Wang, Yizhu;Ran, Fengyun;Yin, Xingfu;Jiang, Fuyan;Bi, Yaqi;Shaw, Ranjan K.;Fan, Xingming
关键词:maize; candidate gene; GWAS; QTL; KRN; GO/KEGG analysis; Mo17
-
Studies on Candidate Genes Related to Flowering Time in a Multiparent Population of Maize Derived from Tropical and Temperate Germplasm
作者:Ran, Fengyun;Wang, Yizhu;Jiang, Fuyan;Yin, Xingfu;Bi, Yaqi;Shaw, Ranjan K.;Fan, Xingming
关键词:maize flowering time; GWAS; estimated breeding value; tropical maize germplasm
-
Dissection of Common Rust Resistance in Tropical Maize Multiparent Population through GWAS and Linkage Studies
作者:Jiang, Fuyan;Bi, Yaqi;Yin, Xingfu;Zhang, Yudong;Shaw, Ranjan K.;Ijaz, Babar;Fan, Xingming;Li, Linzhuo;Li, Shaoxiong;Zhang, Xingjie;Liu, Meichen;Li, Jinfeng
关键词:tropical maize; multiparent populations common rust; QTL; GWAS; candidate genes