摘要
为研究转录组水平上不同种源乌头中主要生物碱含量差异形成的原因,本文选用来自四川北川(BM)、四川青川(QM)及陕西南郑(NM)的乌头母根进行无参转录组测序.结果获得128 015个unigene,平均长度为726 bp,GC％大于44.61％.分别有52 496(41.01％)、41 296(32.26％)、43 561(34.03％)、34 145(26.67％)个unigene在Nr、Swiss-Prot、KEGG和KOG数据库中得到注释.BM-vs-NM、BM-vs-QM、NM-vs-QM三个比较组中分别筛选得到1 540、1 289、1 828个差异表达基因,这些差异表达基因主要富集在代谢途径、次生代谢物的生物合成、内质网中的蛋白质加工等通路中.进一步分析差异表达基因与主要生物碱含量差异的相关性,结果显示,与不同种源乌头母根中主要生物碱含量差异相关的差异表达基因主要富集在类黄酮生物合成、植物MAPK信号通路、异喹啉生物碱生物合成等代谢通路中.本研究初步筛选了编码13个关键酶的候选基因和17个转录因子,推测其与乌头二萜类生物碱含量相关.研究结果可为乌头的良种选育和分子育种提供参考.
Abstract
In order to understand the reasons for the differences of main alkaloid content in A.carmichaelii from different provenances at the transcriptome level,the principal roots of A.carmichaelii from Beichuan(BM),Qingchuan(QM)and Nanzheng(NM)were selected for non-parametric transcriptome sequencing.The reads gave 128 015 unigenes with an average length of 726 bp and GC％greater than 44.61％.52 496(41.01％),41 296(32.26％),43 561(34.03％)and 34 145(26.67％)unigenes were annotated in Nr,Swiss-Prot,KEGG and KOG,respectively.1 540,1 289 and 1 828 differentially expressed genes(DEGs)were de-tected respectively in BM-vs-NM,BM-vs-QM and NM-vs-QM comparison groups,and these DEGs were en-riched in metabolic pathways,biosynthesis of secondary metabolites,and protein processing in endoplasmic reticulum.Further analysis of the correlation between the DEGs and the content differences of main alkaloids in A.carmichaelii roots showed that,the DEGs related to the content differences of the main alkaloids in the principal roots of A carmichaelii from different provenances were mainly enriched in the metabolic pathways such as flavonoid biosynthesis,MAPK signaling pathway,isoquinoline alkaloid biosynthesis.In this study,candidate genes encoding 13 key enzymes and 17 transcription factors were preliminarily screened,which may be related to the content of diterpenoid alkaloids in A.carmichaelii.The results of the study can provide scientific reference for excellent germplasm selection and molecular breeding of A.carmichaelii.
基金项目
四川省科技厅应用基础研究项目(2021YJ0110)
NETL
NSTL
万方数据