Lipid profiles reveal different responses to brown planthopper infestation for pest susceptible and resistant rice plants

doi:10.1007/s11306-018-1422-0

KIB OpenIR

	Lipid profiles reveal different responses to brown planthopper infestation for pest susceptible and resistant rice plants
	Zhang, Jiajiao 1; Li, Yi 1; Guo, Jianping 1; Du, Bo 1; He, Guangcun 1; Zhang, Yingjun2 ; Chen, Rongzhi 1; Li, Jiaru 1
	2018-09-01
发表期刊	METABOLOMICS
ISSN	1573-3882
卷号	14 期号:9 页码:13
摘要	IntroductionBrown planthopper (BPH) is the most destructive insect pest for rice, causing major reductions in rice yield and large economic losses. More than 31 BPH-resistance genes have been located, and several of them have been isolated. Nevertheless, the metabolic mechanism related to BPH-resistance genes remain uncharacterized.ObjectivesTo elucidate the resistance mechanism of the BPH-resistance gene Bph6 at the metabolic level, a Bph6-transgenic line R6 (BPH-resistant) and the wild-type Nipponbare (BPH-susceptible) were used to investigate their lipid profiles under control and BPH treatments.MethodsIn conjunction with multivariate statistical analysis and quantitative real-time PCR, BPH-induced lipid changes in leaf blade and leaf sheath were investigated by GC-MS-based lipidomics.ResultsForty-five lipids were identified in leaf sheath extracts. Leaf sheath lipidomics analysis results show that BPH infestation induces significant differences in the lipid profiles of Nipponbare and R6. The levels of hexadecanoic acid, methyl ester, linoleic acid, methyl ester, linolenic acid, methyl ester, glycidyl palmitate, eicosanoic acid, methyl ester, docosanoic acid, methyl ester, beta-monolinolein, campesterol, beta-sitosterol, cycloartenol, phytol and phytyl acetate had undergone enormous changes after BPH feeding. These results illustrate that BPH feeding enhances sterol biosynthetic pathway in Nipponbare plants, and strengthens wax biosynthesis and phytol metabolism in R6 plants. The results of quantitative real-time PCR of 5 relevant genes were consistent with the changes in metabolic level. Forty-five lipids were identified in the leaf blade extracts. BPH infestation induces distinct changes in the lipid profiles of the leaf blade samples of Nipponbare and R6. Although the lipid changes in Nipponbare are more drastic, the changes within the two varieties are similar. Lipid profiles in leaf sheath brought out significant differences than in leaf blade within Nipponbare and R6. We propose that Bph6 mainly affects the levels of lipids in leaf sheath, and mediates resistance by deploying metabolic re-programming during BPH feeding.ConclusionThe results indicate that wax biosynthesis, sterol biosynthetic pathway and phytol metabolism play vital roles in rice response to BPH infestation. This finding demonstrated that the combination of lipidomics and quantitative real-time PCR is an effective approach to elucidating the interactions between brown planthopper and rice mediated by resistance genes.
关键词	Rice plants Brown planthopper Lipidomics GC-MS Quantitative real-time PCR
DOI	10.1007/s11306-018-1422-0
语种	英语
WOS记录号	WOS:000443711000002
引用统计
文献类型	期刊论文
条目标识符	http://ir.kib.ac.cn/handle/151853/62236
专题	中国科学院昆明植物研究所
通讯作者	Zhang, Yingjun; Chen, Rongzhi; Li, Jiaru
作者单位	1.Wuhan Univ, Coll Life Sci, State Key Lab Hybrid Rice, Wuhan 430072, Hubei, Peoples R China 2.Chinese Acad Sci, Kunming Inst Bot, State Key Lab Phytochem & Plant Resources West Ch, Kunming 650201, Yunnan, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Jiajiao,Li, Yi,Guo, Jianping,et al. Lipid profiles reveal different responses to brown planthopper infestation for pest susceptible and resistant rice plants[J]. METABOLOMICS,2018,14(9):13.
APA	Zhang, Jiajiao.,Li, Yi.,Guo, Jianping.,Du, Bo.,He, Guangcun.,...&Li, Jiaru.(2018).Lipid profiles reveal different responses to brown planthopper infestation for pest susceptible and resistant rice plants.METABOLOMICS,14(9),13.
MLA	Zhang, Jiajiao,et al."Lipid profiles reveal different responses to brown planthopper infestation for pest susceptible and resistant rice plants".METABOLOMICS 14.9(2018):13.