亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Identification of the key metabolites and related genes network modules highly associated with the nutrients and taste components among different Pepino (Solanum muricatum) cultivars

代谢组学 代谢物 代谢组 代谢途径 转录组 生物 生物化学 基因 生物合成 基因表达 生物信息学
作者
Shipeng Yang,Zhu Sun,Guangnan Zhang,Lihui Wang,Qiwen Zhong
出处
期刊:Food Research International [Elsevier BV]
卷期号:163: 112287-112287 被引量:31
标识
DOI:10.1016/j.foodres.2022.112287
摘要

There is considerable knowledge about plant compounds that produce flavor, scent, and aroma. Aside from the similarities, however, groups of plant-produced nutrients and taste components have little in common with each other. Network analysis holds promise for metabolic gene discovery, which is especially important in plant systems where metabolic networks are not yet fully resolved. To bridge this gap, we propose a joint model of gene regulation and metabolic reactions in two different pepino varieties. Differential metabolomics analysis is carried out for detection of eventual interaction of compound. We adopted a multi-omics approach to profile the transcriptome and metabolome analyze differences in phenolic acids, flavonoids, organic acids, lipids, alkaloids, and sugars between LOF and SRF. The two most predominant classes of metabolites are phenolic acids and lipids in pepino. Overall results show enrichment in most DEGs was carbohydrate and biosynthesis of secondary metabolites pathway. Results of DEMs predominantly comprised N-p-coumaroyl agmatine and tryptamine, and significant differences were observed in their expression between LOF and SRF. Integrated DEMs and DEGs specific networks were constructed by combining two types of networks: transcriptional regulatory networks composed of interactions between DEMs and the regulated genes, and pepino metabolite-metabolite interaction networks. Newly discovered features, such as DEGs (USPA, UBE2 and DELLA) involved in the production of secondary metabolites are found in coregulated gene clusters. Moreover, lipid metabolites were most involved in DEMs correlations by OPLS-DA while identifying a significant number of DEGs co-regulated by SENP1, HMGCS et al. These results further that the metabolite discrepancies result from characterized the nutrients and taste components between two pepino genotype. Among the possible causes of the differences between species in pepino metabolite concentrations is co-regulated by these DEGs, continue to suggest that novel features of metabolite biosynthetic pathway remain to be uncovered. Finally, the integrated metabolome and transcriptome analyses have revealed that many important metabolic pathways are regulated at the transcriptional level. The metabolites content differences observed among varieties of the same species mainly originates from different regulated genes and enzymes expression. Overall, this study provides new insights into the underlying causes of differences in the plant metabolites and suggests that genetic data can be used to improve its nutrients and taste components.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
wenyiboy完成签到,获得积分10
4秒前
苹果元灵完成签到,获得积分10
9秒前
初景发布了新的文献求助10
9秒前
ll完成签到 ,获得积分10
24秒前
26秒前
火山蜗牛发布了新的文献求助10
29秒前
ysgzg20123完成签到,获得积分10
31秒前
爱笑美女完成签到,获得积分10
34秒前
体贴雪萍完成签到,获得积分10
42秒前
科研通AI2S的应助被LQL采纳,获得10
49秒前
火山蜗牛完成签到,获得积分10
1分钟前
1分钟前
LQL发布了新的文献求助10
1分钟前
无私的迎蓉完成签到,获得积分10
1分钟前
义气春天完成签到,获得积分10
1分钟前
科研通AI6.2的应助被LQL采纳,获得10
1分钟前
Pami发布了新的文献求助10
1分钟前
美丽妙彤完成签到,获得积分10
2分钟前
mmyhn发布了新的文献求助10
2分钟前
今后的应助被du采纳,获得10
2分钟前
悲凉的雁芙完成签到,获得积分10
2分钟前
2分钟前
唐晓秦发布了新的文献求助10
2分钟前
灵巧怀曼完成签到,获得积分10
2分钟前
乐乐的应助被唐晓秦采纳,获得10
2分钟前
2分钟前
min发布了新的文献求助30
3分钟前
曾经蛟凤发布了新的文献求助10
3分钟前
感性的雅霜完成签到,获得积分10
3分钟前
mmyhn发布了新的文献求助10
3分钟前
crane完成签到,获得积分10
3分钟前
吃了就会胖完成签到 ,获得积分10
3分钟前
3分钟前
认真的笑卉完成签到,获得积分10
3分钟前
唐晓秦发布了新的文献求助10
3分钟前
欣慰怀梦完成签到,获得积分10
3分钟前
迷人的不凡完成签到,获得积分10
4分钟前
今后的应助被曾经蛟凤采纳,获得10
4分钟前
曾经蛟凤完成签到,获得积分20
4分钟前
火星上雨南完成签到,获得积分10
4分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Research Methodology: Best Practices for Rigorous, Credible, and Impactful Research 1000
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7782627
求助须知:如何正确求助?哪些是违规求助? 9322145
关于积分的说明 20387236
捐赠科研通 7370953
什么是DOI,文献DOI怎么找? 3320428
关于科研通互助平台的介绍 2468282
邀请新用户注册赠送积分活动 2336472