Metabolites Mining and Path Enrichment Analysis of Tigernut Tuber Formation

doi:10.15933/j.cnki.1004-3268.2024.08.004

Abstract

Abstract: In order to dig out the key metabolites in the process of forming tubers by the stolons of tigernut and regulate the stolons to form more tubers，the stolons and new tubers were taken as the research objects，and untargeted metabolomics analysis was carried out by high performance liquid chromatography Abstract：In order to dig out the key metabolites in the process of forming tubers by the stolons of tigernut and regulate the stolons to form more tubers，the stolons and new tubers were taken as the research objects，and untargeted metabolomics analysis was carried out by high performance liquid chromatography combined with triple quadrupole mass spectrometer.And then，the differential metabolites related to the formation of tubers were screened by multivariate statistical method，and KEGG metabolic pathways associated with differential metabolites were enriched.The results showed that a total of 1 217 metabolites were detected in unexpanded stolons（PFJ1），expanded stolons（PFJ2）and new tubers（JD1）.According to the conditions of VIP（Variable importance in the projection）>1，P<0.05 and FC（Fold change）>2 or FC<0.5，35 differential metabolites were screened for JD1 vs PFJ1，of which 26 were up‑regulated and nine were down‑regulated；JD1 vs PFJ2 identified 57 differential metabolites，of which 50 were up‑regulated and seven were down‑regulated；PFJ2 vs PFJ1 identified 39 differential metabolites，of which three were up‑regulated and 36 down‑regulated. The metabolites were identified as amino acids and their derivatives，nucleotides and their derivatives，organic oxygen compounds，flavonoids，phenylpropanes，phenols and so on. The relative content analysis of differential metabolites showed that the content of glutathione in JD1 was 14.021 times that in PFJ1 and 29.195 times that in PFJ2.The content of 3‑methy‑L‑histidine in JD1 was 10.463 times that in PFJ1 and 129.931 times that in PFJ2.The content of kaempferol in JD1 was 0.421 times that in PFJ1 and 0.358 times that in PFJ2.KEGG pathway analysis of differentially expressed metabolites was further conducted，and they were mainly concentrated into KEGG pathways such as aminoacyl‑tRNA biosynthesis，arginine and proline metabolism，alanine，aspartic acid and glutamate metabolism，phenylalanine metabolism，flavonoid and flavonol biosynthesis.In summary，amino acids and flavonoids were the main metabolites related to the formation of tubers，and the metabolic pathways were mainly concentrated in aminoacyl‑tRNA biosynthesis and flavonoid and flavonol biosynthesis.

Key words: Tigernut（Cyperus esculentus L.）, Stolon, Tuber formation, Metabolomics, Amino acids, Flavonoids

摘要： 为挖掘油莎豆匍匐茎形成茎豆过程中的关键代谢物质，调控匍匐茎形成更多的茎豆，以匍匐茎及新茎豆为研究对象，利用高效液相色谱联合三重四极杆质谱仪进行广泛靶向代谢组学分析，采用多元统计学方法挖掘与茎豆形成相关的差异代谢物质，并富集差异代谢物相关的KEGG代谢通路。结果表明，未膨大匍匐茎（PFJ1）、膨大匍匐茎（PFJ2）及新茎豆（JD1）3组样本中共检测到1 217个代谢物。按照变量投影重要度（VIP）>1、P<0.05 且差异倍数（FC）>2 或FC<0.5 的条件进行差异代谢物筛选，JD1 vs PFJ1筛选到35个差异代谢物，其中26个上调表达，9个下调表达；JD1 vs PFJ2筛选到57个差异代谢物，其中50个上调表达，7个下调表达；PFJ2 vs PFJ1筛选到39个差异代谢物，其中3个上调表达，36个下调表达。利用数据库对代谢物进行定性分析，差异表达代谢物主要被鉴定为氨基酸及其衍生物、核苷酸及其衍生物、有机氧化合物、黄酮类、苯丙素类、酚类等。差异表达代谢物相对含量分析显示，JD1谷胱甘肽含量是PFJ1 的14.021 倍、PFJ2 的29.195 倍；JD1 3-甲基组氨酸含量是PFJ1 的10.463 倍、PFJ2 的129.931倍；JD1山柰酚含量是PFJ1的0.421倍、PFJ2的0.358倍。进一步的KEGG通路分析显示，差异表达代谢物主要富集到氨酰-tRNA生物合成，精氨酸和脯氨酸代谢，丙氨酸、天冬氨酸及谷氨酸代谢，苯丙氨酸代谢，黄酮及黄酮醇生物合成等代谢通路。综上，与油莎豆茎豆形成相关的代谢物质主要为氨基酸类及黄酮类物质；代谢通路主要集中在氨酰- tRNA 生物合成及黄酮和黄酮醇生物合成途径中。

关键词: 油莎豆, 匍匐茎, 茎豆形成, 代谢组学, 氨基酸类, 黄酮类

CLC Number:

S565.9

GUO Xiaoyang, LA Guixiao, XU Xinran, YU Yange, DAI Dandan, LI Yanpeng, WANG Yanhong, GUO Hongxia, YANG Tiegang. Metabolites Mining and Path Enrichment Analysis of Tigernut Tuber Formation[J]. Journal of Henan Agricultural Sciences, 2024, 53(8): 30-43.

郭晓阳, 腊贵晓, 许欣然, 余彦鸽, 代丹丹, 李彦鹏, 王艳红, 郭红霞, 杨铁钢. 油莎豆茎豆形成相关代谢物挖掘及通路富集分析[J]. 河南农业科学, 2024, 53(8): 30-43.

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